Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 10th May 2025, 01:29:16 EEST

 
 
Session Overview
Session
22 SES 07 D: Interactive Poster Session
Time:
Wednesday, 28/Aug/2024:
15:45 - 17:15

Session Chair: Mariana Gaio Alves
Location: Room 147 in ΘΕE 01 (Faculty of Pure & Applied Sciences [FST01]) [Floor 1]

Cap: 34

Interactive Poster Session

Show help for 'Increase or decrease the abstract text size'
Presentations
22. Research in Higher Education
Poster

Transition into Distance Education: Results of a Scoping Review

Michael Hast, Roxana Schweighart, Julian Alexander Rebien, Anna Maria Pampel, Caroline Trautwein

IU University of Applied Sciences, Germany

Presenting Author: Hast, Michael

Digital learning and higher distance education programmes have surged in popularity, almost tripling from 10.6 million students worldwide in 2017 to 27.4 million by 2023, and predicted to rise further to 46.5 million by 2028 (Statista, 2023). The entry into the realm of distance learning for the first time is marked by complexities, as highlighted by Mittelmeier et al. (2019), making the initial experiences, study approaches, and adaptation strategies not straightforward or clear-cut. On the one hand, students acknowledge benefits, such as high flexibility and easy integration with other commitments (Belousova et al., 2022). At the same time, they also report facing a host of challenges, including motivational hurdles and limited student interaction (Brown et al., 2015).

The transition phase into higher education is pivotal for successful learning, whether students are studying in person or digitally (Coertjens et al., 2017). Navigating the initial study requirements effectively allows students to cultivate essential study skills, laying the foundation for successful academic pursuits (Trautwein & Bosse, 2017). However, the study start is often challenging for many students. In general, retention rates at the end of the first year of higher education show up to a quarter of students leaving their degree (see e.g., Van Herpen et al., 2020). Notably, distance learners exhibit lower success rates compared to their on-campus counterparts, as evidenced by Fojtík’s (2018) study, where only 39% of distance learning students in a computer science program successfully completed their first semester courses, compared to 64% of in-person students. For distance learners, establishing a sense of belonging to the university and course of study proves particularly troublesome, contributing to higher attrition rates than those observed among on-campus students (Canty et al., 2020).

Focusing on the period of transition into higher education is important because the more positive the experience of this period, the more likely students are to remain enrolled and persist (Haktanir et al., 2021). However, in general, there is still little international research on the transition specifically into distance education and digital learning environments, leaving gaps in our understanding of student experiences, expectations, needs, and challenges during this crucial phase and in this specific context. To consolidate existing knowledge on this topic, we are undertaking a scoping review aimed at consolidating existing knowledge on the transition into distance education in higher education settings. Our research question, “What is known about the transition into distance education in higher education settings?” will guide a methodical exploration of published sources, aiming to discern insights into this transitional process within distance education. Key concepts will be identified and classified, theoretical and empirical insights will be gathered, and content boundaries will be defined. Our ultimate goal is to translate these findings into practical guidance for distance education providers, lecturers, study advisors, and prospective students, contributing to more effective digital learning. This urgency is underscored by the growing global importance of distance education and the pivotal role the start of studies plays in fostering successful learning.


Methodology, Methods, Research Instruments or Sources Used
Scoping reviews, by design, are well-suited to address broad and exploratory research questions. Their unique feature is that they encompass all sources of information, without prioritising the quality of each source, which sets them apart from a systematic review. Consequently, scoping reviews are particularly useful when exploring nascent research fields, defining key concepts, or pinpointing research gaps (Peters et al., 2015). We consider a scoping review to be the most appropriate method to map out the existing international literature on the relatively uncharted topic of study entry in distance education. Our scoping review will align with the guidelines developed by Peters et al. (2015). The methodology entails nine key stages: (1) Defining and aligning the objective and question; (2) developing and aligning the inclusion and exclusion criteria with the objective and question; (3) describing the planned approach to evidence searching, selection, data extraction, and presentation of the evidence; (4) searching for the evidence; (5) selecting the evidence; (6) extracting the evidence; (7) analysing of the evidence; (8) presenting the results; and (9) summarising the evidence in relation to the purpose of the review, making conclusions, and noting any implications of the findings.
In our research team, three researchers will combine their efforts to search for and select sources, fostering a sense of consensus about which sources to include. Subsequently, we will structure the extracted results of the included studies using Kuckartz’s (2018) qualitative content analysis, with the aid of MAXQDA software. This approach offers an organised and practical possibility for collaborative data analysis involving multiple authors. Given that Kuckartz’s approach is question-based and allows for data reduction via a category-based system, it fits well with our intended procedure. We aim to develop an inductive category system to encapsulate the experiences of distance learners at the outset of their studies. The final product will be a descriptive summary that links our results back to the research question and review objectives. We will also present key concepts and categories, potentially visualised in tables or maps, while strictly adhering to PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) guidelines (Tricco et al., 2018) in disseminating our results.

Conclusions, Expected Outcomes or Findings
Both demand for and supply of distance learning programmes are consistently increasing. Concurrently, it is recognised that the transition to higher education significantly impacts subsequent study success or non-success (Trautwein & Bosse, 2017). Yet, there is scarce knowledge about this critical phase, particularly in relation to distance learning. This gap is now to be closed by the scoping review. While the evaluation is still in progress, there are initial indications that, amongst other categories, the outcomes will cover challenges, (un)success factors, positively experienced course content and didactic methods, expectations, and emotional experiences of distance learning students in the initial phase of study. These outcomes promise to serve distance education providers worldwide by offering a clearer understanding of the initial phase of distance learning and the potential barriers students may face. Furthermore, practical implications for an ideal design of the initial study phase will be formulated, helping providers in planning and designing distance education courses more effectively in the future. Study advisors, too, will benefit as the review provides an evidence-based overview of the initial phase of a distance learning programme, enabling them to better guide prospective students accordingly. For individuals contemplating distance education, this research will paint a comprehensive picture of the potential challenges at the start, assisting them in making an informed decision. In summary, this research aims to shed light on a critical, yet relatively unexplored aspect of distance education – the transition phase. In doing so, it has the potential to tailor this transition phase more effectively to students’ needs in the future, ultimately increasing the likelihood of academic success in this mode of learning.
References
Belousova, A., Mochalova, Y., & Tushnova, Y. (2022). Attitude to distance learning of schoolchildren and students: Subjective assessments of advantages and disadvantages. Education Sciences, 12(1), 46.
Brown, M., Hughes, H., Keppell, M., Hard, N., & Smith, L. (2015). Stories from students in their first semester of distance learning. The International Review of Research in Open and Distributed Learning, 16(4), 1–17.
Canty, A. J., Chase, J., Hingston, M., Greenwood, M., Mainsbridge, C. P., & Skalicky, J. (2020). Addressing student attrition within higher education online programs through a collaborative community of practice. Journal of Applied Learning & Teaching, 3(Special Issue 1), 140–152.
Coertjens, L., Brahm, T., Trautwein, C., & Lindblom-Ylänne, S. (2017). Students’ transition into higher education from an international perspective. Higher Education, 73(3), 357–369.
Fojtík, R. (2018). Problems of distance education. International Journal of Information and Communication Technologies in Education, 7(1), 14–23.
Haktanir, A., Watson, J. C., Ermis-Demirtas, H., Karaman, M. A., Freeman, P. D., Kumaran, A., & Streeter, A. (2021). Resilience, academic self-concept, and college adjustment among first-year students. Journal of College Student Retention: Research, Theory & Practice, 23(1), 161–178.
Kuckartz, U. (2018). Qualitative Inhaltsanalyse: Methoden, Praxis, Computerunterstützung (4th ed.). Beltz Juventa.
Mittelmeier, J., Rogaten, J., Long, D., Dalu, M., Gunter, A., Prinsloo, P., & Rienties, B. (2019). Understanding the early adjustment experiences of undergraduate distance education students in South Africa. The International Review of Research in Open and Distributed Learning, 20(3), 18–38.
Peters, M. D. J., Godfrey, C. M., Khalil, H., McInerney, P., Parker, D., & Soares, C. B. (2015). Guidance for conducting systematic scoping reviews. International Journal of Evidence-Based Healthcare, 13(3), 141–146.
Statista (2023). Online-Hochschulbildung. https://de-statista-com.pxz.iubh.de:8443/outlook/dmo/eservices/online-bildung/online-hochschulbildung/weltweit
Trautwein, C., & Bosse, E. (2017). The first year in higher education–Critical requirements from the student perspective. Higher Education, 73(3), 371–387.
Tricco, A. C., Lillie, E., Zarin, W., O’Brien, K. K., Colquhoun, H., Levac, D., … & Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine, 169(7), 467–473.
Van Herpen, S. G., Meeuwisse, M., Hofman, W. A., & Severiens, S. E. (2020). A head start in higher education: The effect of a transition intervention on interaction, sense of belonging, and academic performance. Studies in Higher Education, 45(4), 862–877.


22. Research in Higher Education
Poster

Changing Academic Profession in Kazakhstan: Examining Faculty’s Research Performativity and Accountability in the Post-Socialist Context of Higher Education

Aida Nuranova1, Inara Akhmetova2

1Nazarbayev University, Kazakhstan; 2Maqsut Narikbayev University, Kazakhstan

Presenting Author: Nuranova, Aida; Akhmetova, Inara

One of the most significant processes that has established Kazakhstani higher education in the global arena was entering the European Higher Education Area (EHEA) and joining the Bologna Process (BP) in 2010. Being the first Central Asian country, Kazakhstan became the forty-seventh member of the EHEA. After signing the Bologna Declaration, Kazakhstani higher education switched to the European Credit Transfer and Accumulation System (ECTS) and adopted the National Qualifications Framework (IQAA, n.d.).

The impact of the Bologna Process on Kazakhstani education is undoubtedly significant. In 2011, Kazakhstan replaced the Soviet two-tier system for training researchers, comprising the Candidate of Science and Doctor of Science degrees, with the PhD system, aligning with the European Bologna Process (OECD, 2017). This had a great impact on faculty promotion and remuneration policies in Kazakhstani universities. Awarding titles like professor and academic professor signifies the research and academic pursuits of faculty members subsequent to earning their academic degrees. The process for accrediting scientific and educational staff is a critical step in advancing within the academic sector. In the years following independence, the criteria and approach for conferring these titles, especially regarding research activities, have been modified. From 2011 onwards, a key requirement for receiving an academic title has involved publishing in globally acknowledged peer-reviewed journals featured in Scopus and Web of Science. Additionally, career policies and management processes in universities are steered by principles of accountability and transparency. The tradition of producing annual reports, accessible to the public and authored by rectors of national universities, has been established and recently expanded to include all universities in Kazakhstan (IAC, 2022). Consequently, faculty in higher education are increasingly driven to demonstrate their research effectiveness to align with the modern standards of higher education.

Even within the local policy context of Kazakhstan, there is a dearth of empirical critical research on faculty performativity in regional universities. Much research has been done in major cities and megalopolises of the country (see for example, Kuzhabekova & Mukhamejanova, 2017). This study specifically focuses on regional universities located in three provinces of Kazakhstan.

The proposed study has explored how faculty members at regional public universities adapt to and experience neoliberal reforms in the post-socialist context of higher education. The study pursued the following research question: (1) What are the changing patterns of the academic profession in regional public universities in Kazakhstan?

Numerous studies have examined the academic profession globally (Cummings, 2008; Teichler et al., 2013), but post-socialist higher education contexts remain less explored (Lee & Kuzhabekova, 2019). Notably, the prominent “Changing Academic Profession”study primarily focuses on leading educational systems, overlooking post-socialist regions (Teichler et al., 2013).

Overall, this study makes an effort to bring attention to underrepresented voices in academia, inform policy reforms that better cater to the needs of regional public universities, and contribute to the professional development and recognition of faculty members in Kazakhstan’s higher education landscape. Moreover, the study aims at contributing knowledge about changing academic professions to international literature by shedding the light on the Central Asian region as the survey had been adapted to the Kazakhstani/Central Asian post-socialist context.


Methodology, Methods, Research Instruments or Sources Used
The study draws on a mixed methods research design. Thus, an explanatory research design was applied to the study. Within the quantitative research component, the study followed the research design of the international and comparative study “Changing Academic Profession” (Teichler, 2013; Hiroshima University, 2008). It specifically adopted the survey instrument used in the discussed comparative study on the changing academic profession. Qualitative data was collected through conducting semi-structured interviews with university faculty members (based on various faculty ranks and ages) as well as elite interviews with university leaders (vice-rectors for research, deans and vice deans) and research administrators (research departments) at the same regional public universities.

Conclusions, Expected Outcomes or Findings
In its intention to generate a culturally appropriate impact on the local education policy and practice in the post-socialist context of Kazakhstan, the proposed project draws on the Knowledge to Action Framework (KTAF) through the research-policy-practice cycle (Best & Holmes, 2010). In this vein, the proposed project aims to have a potential impact on the following areas within the academic profession at regional universities: (1) Gathering quantitative and qualitative data about faculty research performativity and accountability in understudied contexts of regional public universities; (2) Raising awareness among university leaders and policymakers about opportunities for the development of research productivity among the faculty as well as negative consequences of research performativity on the faculty; (3) Producing a sustainable professional development program based on the trainer-trainer model for sustainability of the project; (4) Changing practices through evidence-based skills training intervention​s and (5) Shaping policies through research-informed recommendations on the research productivity in local HEIs; (6) Development and provision of a research-informed policy brief on the changing patterns of the academic profession to relevant policymaking organizations

References
Ball, S. J. (2005). Education policy and social class: The selected works of Stephen J. Ball. Routledge.
Best, A., & Holmes, B. (2010). Systems thinking, knowledge and action: Towards better models and methods. Evidence & Policy, 6(2), 145–159. https://doi.org/10.1332/174426410X502284
Hiroshima University. (2008). The changing academic profession in international comparative and quantitative perspectives: Report of the International Conference on the Changing Academic Profession Project, 2008. Research Institute for Higher Education, Hiroshima University.
IQAA. (n.d.). Высшее образование в Казахстане [Higher Education in Kazakhstan]. Независимое агентство по обеспечению качества в образовании - IQAA. Retrieved December 1, 2023, from https://iqaa.kz/vysshee-obrazovanie/vysshee-obrazovanie-v-kazakhstane

Kuzhabekova, A., & Mukhamejanova, D. (2017). Productive researchers in countries with limited research capacity: Researchers as agents in post-Soviet Kazakhstan. Studies in Graduate and Postdoctoral Education, 8(1), 30-47.
Lee, J. T., & Kuzhabekova, A. (2019). Building local research capacity in higher education: A conceptual model. Journal of Higher Education Policy and Management, 41(3), 342-357.
Ministry of Education and Science of the Republic of Kazakhstan (2020, May 13). Strategic Plan of the Ministry of Education and Science of the Republic of Kazakhstan for 2020-2024.https://www.gov.kz/memleket/entities/edu/documents/details/32853?lang=ru
Information and Analytical Center, Ministry of Enlightenment of the Republic of Kazakhstan, Ministry of Science and Higher Education of the Republic of Kazakhstan. (2022). National Report on the State and Development of Education System in the Republic of Kazakhstan over 30 years of Independence and 2021. Astana.
OECD. (2017). Higher Education in Kazakhstan 2017. OECD. https://doi.org/10.1787/9789264268531-en
Seddon, T., & Levin, J. (Eds.). (2013). Educators, professionalism and politics: Global transitions, national spaces and professional projects. Routledge.
Starr, K. (2019). Education policy, neoliberalism, and leadership practice: A critical analysis. Routledge.
Teichler, U., Arimoto, A., & Cummings, W. K. (2013). The changing academic profession. Dordrecht: Springer.


22. Research in Higher Education
Poster

Evaluation of Methodological Strategies for the Development of Learning-to-Learn Competence in Higher Education: A Multidimensional and Practical Approach

Laura Osete, Virginia Larrea, Vicenta Eloína García-Félix

UPV, Spain

Presenting Author: Osete, Laura; Larrea, Virginia

In the current educational landscape, the Learn to Learn (LtL) competence stands out as a crucial element in the academic and personal formation of university students, highlighting the urgent need for curriculum design that promotes its development. This study, which is part of a broader research project focusing on the design and curricular development of this competence in university programmes, presents the results of the implementation of two methodological proposals aimed at promoting and assessing this competence.

The LtL competence, conceptualised as a personal, social and learning skill according to the guidelines of the European Competence Framework (CE, 2018), has gained crucial importance in the contemporary educational context. Its definition has evolved over time, expanding beyond the cognitive, metacognitive and affective-motivational dimensions initially considered (Pintrich, 2004; Weinstein, Husman & Dierking, 2002; Zimmerman, 2000). Additional dimensions such as the social-relational (Hadwin, Wozney & Pontin, 2005; Järvelä, Järvenoja & Malmberg, 2019; Zimmerman, 2000) and, more recently, the ethical dimension (Gargallo-López et al., 2020) have been included, enriching its understanding and scope.

Given the intrinsic complexity of LtL competence, this intervention phase includes experiences aimed at validating methodologies focused on the development of specific dimensions and sub-dimensions. In particular, this study focuses on the cognitive dimension, emphasising effective information management and the use of information and communication technologies (ICT), and the metacognitive dimension, with a particular emphasis on problem solving as a fundamental strategy for developing critical and reflective skills in students.

The strategies implemented took place in specific subjects of two different university programmes. Firstly, the first year course in Conservation and Restoration of Cultural Heritage (CRBC) addressed the specificities of this discipline and its multidisciplinary context, where problem solving is essential for academic and professional success. Secondly, attention was drawn to a second year course in the Dual Degree in Food Science and Technology / Business Administration and Management (CTA/ADE), highlighting its intrinsic relationship with information management and analysis.

The main relevance of this research lies in its contribution to the design of specific interventions that address the cognitive and metacognitive dimensions of learning-to-learn competence. The results obtained will not only provide valuable insights into the effectiveness of these strategies in different university environments, but will also provide a solid basis for future research and curriculum improvement. In this context, it is expected that this study will not only benefit the academic community involved, but will also have a positive impact on society at large by promoting the holistic development of students and preparing them for the changing challenges of the contemporary world.


Methodology, Methods, Research Instruments or Sources Used
Experience 1: The Degree in Conservation and Restoration of Cultural Heritage at the Faculty of Fine Arts in UPV involved the study of the subject "Fundamentals of Physics and Chemistry for Conservation," which was conducted in two groups of approximately 55 students each during the first year of the program.

This subject focused on examining the primary materials comprising Cultural Heritage, particularly emphasizing their physical-chemical properties and processes of alteration. Within this context, the metacognitive dimension of the Learn to Learn (LtL) competence, specifically the problem-solving subdimension, was addressed.
 
To enhance problem-solving abilities, concept maps were utilized through a series of five activities, preceded by training on map creation. These activities were adaptable for individual or group participation. The concept map served as a tool to identify problems, variables, hierarchical relationships between concepts/properties, and ultimately, the development and evaluation of solutions. Assessment of the concept map was conducted using a rubric.
 
Experience 2: The Dual Degree in Food Science and Technology / Business Administration and Management (CTA/ADE) from the School of Agricultural and Environmental Engineering of the UPV included the subject "Chemical Composition of Food," a 6 ECTS course spanning 32 one-hour sessions with a class size of 22 students.
 
This course aimed to facilitate the identification, classification, and localization of chemical components in food. Additionally, it provided insights into recognizing and categorizing major groups of food additives used in the industry, along with an understanding of the current legislation governing their utilization.
 
The subject presented a unique challenge for students, requiring active participation in the pursuit of accurate and high-quality information within scientifically and technically validated environments, while avoiding unverified informational sources. The Cognitive dimension was a key focus, specifically emphasizing the sub-dimensions of effective information management and the application of Information and Communication Technologies (ICT).
 
To foster these skills, students engaged in four seminars designed to equip them with tools for sourcing information from reliable outlets and methodologies for crafting scientific texts. Throughout the course, various evaluated activities gauged students' progress.
 
In both experiences, students underwent pre-test questionnaires and activities at the intervention's onset and post-test questionnaires and activities at the course's conclusion. The questionnaire used (QELtLCUS, Gargallo et al., 2021) followed a self-report format, encompassing 85 items grouped into five scales assessing the five dimensions and 21 sub-dimensions. Students responded to the items using a Likert-type scale, ranging from agree to disagree.

Conclusions, Expected Outcomes or Findings
The main purpose of this study has been to introduce two methodological approaches designed to enhance processes and skills associated with the development of subdimensions of the LtL competence: problem-solving (Metacognitive Dimension) and effective information management and use of Information and Communication Technologies (ICT) (Cognitive Dimension).
The exhaustive analysis of the questionnaire has revealed significant differences between the two student groups subjected to the proposed methodologies, evaluated from a pre-test to a post-test, in the average scores of the addressed dimensions. This is an expected result, due to the efforts dedicated to teaching and working with the students on these aspects throughout the learning process. In the first experience, improvement was observed in all five evaluated dimensions, while the second experience showed progress in all subdimensions of the Cognitive Dimension.
These findings will enable relevant adjustments in teaching-learning activities to minimize the challenges encountered by students, thus creating an optimal environment for the acquisition of LtL competence.
Based on these data, we can assert that training programs integrated into regular teaching within the regular curriculum generate positive effects on the development of LtL competence. Moreover, this confers greater functionality, allowing the visibility and clarification of competence teaching by incorporating it into the curriculum for teaching, learning, and assessment.
In spite of the limitations of this study, carried out with non-equivalent control groups, it is noteworthy that across various experiences in different courses and programs, initial assessments of students (PRE) in the five dimensions of the LtL competence show a similar distribution, reflecting comparable perceptions.

References
CE (2018). Recomendación del Consejo de 22 de mayo de 2018 relativa a las competencias clave para el aprendizaje permanente. https://links.uv.es/fX3sQ0O  
Gargallo López, B., Pérez-Pérez, C., Garcia-Garcia, F. J., Giménez Beut, J. A., & Portillo Poblador, N. (2020). The skill of learning to learn at university. proposal for a theoretical model. Educacion XX1, 23(1), 19–44. https://doi.org/10.5944/EDUCXX1.23367  
Gargallo-López, B., Suárez-Rodríguez, J.M., Pérez-Pérez, C., Almerich Cerveró, G., & Garcia-Garcia, F.J. (2021). The QELtLCUS questionnaire. An instrument for evaluating the learning to learn competence in university students. RELIEVE, 27(1), art. 1. http://doi.org/10.30827/relieve.v27i1.20760
Grace, S., Innes, E., Patton, N., & Stockhausen, L. (2017). Ethical experiential learning in medical, nursing and allied health education: A narrative review. Nurse Education Today, 51, 23–33. https://doi.org/10.1016/J.NEDT.2016.12.024  
Hadwin, A. F., Wozney, L., & Pontin, O. (2005). Scaffolding the appropriation of self-regulatory activity: A socio-cultural analysis of changes in teacher-student discourse about a graduate research portfolio. In Instructional Science (Vol. 33, Issues 5–6, pp. 413–450). https://doi.org/10.1007/s11251-005-1274-7  
Järvelä, S., Järvenoja, H., & Malmberg, J. (2019). Capturing the dynamic and cyclical nature of regulation: Methodological Progress in understanding socially shared regulation in learning. International Journal of Computer-Supported Collaborative Learning, 14(4), 425–441. https://doi.org/10.1007/s11412-019-09313-2  
Pintrich, P. R. (2004). A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students. In Educational Psychology Review (Vol. 16, Issue 4, 385-407).
Weinstein, C. E., Husman, J., & Dierking, D. R. (2000). Self-Regulation Interventions with a focus on Learning Strategies. In M. Boekaerts, P.R. Pintrich and M. Zeinder, Handbook of Self-regulation (pp. 727-747). Academic Press.
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press. https://doi.org/10.1016/B978-012109890-2/50031-7


22. Research in Higher Education
Poster

Quality in Service-Learning: Criteria that Make a Difference

Daniel Sáez-Gambín, Igor Mella-Núñez, Miguel A. Santos Rego

Universidade de Santiago de Compostela, Spain

Presenting Author: Santos Rego, Miguel A.

In recent years, the service-learning (SL) methodology has experienced an unprecedented boom in the countries within our political and cultural sphere, creating a challenging terrain for researchers interested in studying its impact, measuring its outcomes, and even effectively developing its implementation. This pedagogy, which integrates academic learning with community service, fosters deep and meaningful educational experiences for those involved, surpassing the cognitive-social expectations of more conventional educational strategies.

The inherited university model from the past (20th century and earlier), sometimes referred to as the "ivory tower," has recently faced significant criticism from both civil society and the academic sphere due to its perceived detachment from social reality. In our immediate context, this underlying issue influenced efforts to adopt the European Higher Education Area (EHEA), the seed of more comprehensive views on learning and competency development (Santos Rego, Mella-Núñez et al., 2020).

We are talking about a paradigm shift, as the central idea promoting it is that knowledge, dynamically linked to human activity, should ideally resonate with the notion of (social) change. Therefore, it is not surprising that SL has become a significant strategy for bridging the university-community gap. However, it seems clear that its scope and effectiveness will depend largely on the quality of experiences, and it is the responsibility of the research community to discover the best strategies for these purposes.

In summary, we could discuss two predominant approaches in research on SL (Bringle, 2003): on the one hand, the comparison of subjects where the methodology is applied with those using more conventional strategies, and on the other hand, the evaluation of how different course configurations impact better or worse outcomes.

It is evident that when delving into the study of SL implementation, we encounter a rich diversity of experiences, interventions, and contexts reflecting the adaptability of the methodology. However, it is precisely in this variety where difficulties arise in evaluating the quality of courses accurately and coherently. Thus, energizing a homogeneous method to study them becomes a challenge of great relevance.

It should not be surprising, therefore, that due to this added difficulty, many studies point out the lack of research on the conceptual and operational quality of the methodology itself. Most analyze the results obtained by participants, ignoring other issues related to the form of participation (Imperial et al., 2007). Sufficient reason to consider quality evaluation a promising research line, especially if we want to ensure that SL courses achieve their goals and intensify benefits, naturally including the necessary emphasis on civic engagement.

Historically, we attribute to Sigmon (1979) the merit of establishing the first quality principles in Service-Learning. Since then, we have witnessed a sufficiently constructive dialogue that would impact future SL courses and the deliberative axis around what are, or should be, best practices in using the methodology. Despite the emergence of multiple classifications to elucidate quality programs, what matters is to show dimensions with a real impact on results.

However, the study we have conducted primarily aims to analyze the most relevant quality criteria in Service-Learning. To achieve this, we carried out a systematic literature review, specifically focusing on understanding how criteria affected real experiences. The goal is to illuminate 'key factors' that can contribute to good methodology practices, helping - in the process - to better understand the positive impact of SL in those circumstances.

This paper is framed in the Research Projects: “Service-Learning (SL) and employability of university graduates in Spain: competences for employment” (EDU2017-82629-R) and “The impact of the university in the community through service-learning projects. A study focused on reciprocity (SL)” (PID2021-122827OB-I00).


Methodology, Methods, Research Instruments or Sources Used
A comprehensive global documentary review was conducted using databases such as Scopus, WoS, and ProQuest to shed light on the characteristics that define successful SL on the international stage. The search process combined keywords related to the quality elements that should be present in SL courses.

To determine these quality dimensions, we relied on the most relevant best practice classifications in the field of SL, taking note of their frequency in the literature. Among them, we highlighted those of Imperial et al. (2007), Honnet and Poulsen (1989), and Howard (2001). Additionally, we considered the quality standards in the practice of service-learning in K-12 education, developed by the National Youth Leadership Council (2008). Based on these and other documents, we identified the following quality dimensions: duration and intensity, academic rigor, meaningful service, reciprocity, role of faculty and students, and reflection.

We included books and articles published in both English and Spanish. Duplicate documents found in different databases were excluded. Finally, we eliminated those documents that, while relevant to the general theme, lacked sufficient relevance to the central topic of the research.
In the stage of documentary classification, we distinguished two types of studies. Firstly, those that appeal, with theoretical arguments, to the importance of a series of course characteristics as indicators of thpreir success. And secondly, those that seek to scrutinize, empirically, the impact that such characteristics can have on those who participate in the experiences.

Conclusions, Expected Outcomes or Findings
Firstly, the most effective programs are those with a duration between 20 and 40 hours (Dahan, 2016). Regarding academic rigor, it is necessary to define clear objectives that are closely related to the academic curriculum, as failing to do so is associated with a negative impact (Celio et al., 2011; Reames et al., 2020). The significance of the service is positively linked to student motivation and academic improvements (Billig et al., 2005; Moely and Ilustre, 2014).

On the other hand, student autonomy is related to greater commitment and achievements, while allowing students to participate in decision-making is associated with the development of self-concept and cross-cutting competencies (Lambright and Lu, 2009). Furthermore, reciprocity and reflection criteria seem to be the most important according to the consulted literature. Regarding reciprocity, actively collaborating with recipients in long-term experiences has been associated with better outcomes for all involved parties (Bailis, 2000; Miron and Moely, 2006). Regarding reflection, a noteworthy finding is the connection between reflection in and/or with the community and more successful courses; directing these sessions towards a variety of themes throughout the entire process (before, during, and after courses) (Lorenzo et al., 2021).

In conclusion, a crucial aspect in course management is, as expected, the study of quality elements, both in the theoretical and empirical realms. We have sought to provide a more comprehensive and diverse understanding of these elements, aiming for their better comprehension while keeping in mind the adaptation to the specific context of each program.
We are convinced that emphasizing the definition of quality criteria for Service-Learning can become a catalyst for its effectiveness, potentially influencing the paths of future implementations within the university system. However, it is essential to ensure that these paths have the necessary support from civil society in general and communities in particular.

References
Bailis, L. (2000). Taking service-learning to the next level: Emerging lessons from the national community development program. National Society for Experiential Education.
Billig, S. H., Root, S., & Jesse, D. (2005). The relationship between the quality indicators of service-learning and student outcomes, testing professional wisdom. In S. Root, J. Callahan & S. H. Billig (Eds.), Improving service-learning practice: Research on models to enhance impact (pp. 97-115). Information Age Publishing.
Bringle, R. G. (2003). Enhancing theory-based research on service-learning. In J. Eyler & S. H. Billig (Eds.), Deconstructing service-learning: Research exploring context, participation, and impacts (pp. 3-22). Information Age Publishing.
Celio, C. I., Durlak, J. A., & Dymnicki, A. B. (2011). A Meta-analysis of the Impact of Service-Learning on students. Journal of Experiential Education, 34(2), 164-181. https://doi.org/10.5193/jee34.2.164
Dahan, T. (2016). Revisiting pedagogical variations in service-learning and student outcomes. International Journal of Research on Service-Learning and Community Engagement, 4(1), 3-15. https://doi.org/10.37333/001c.29586
Honnett, E. P., & Poulsen, S. J. (1989). Principals of good practice for combining service and learning. https://digitalcommons.unomaha.edu/cgi/viewcontent.cgi?article=1001&context=slceguides
Howard, J. (2001). Service-learning course design workbook. OCSL Press.
Imperial, M. T., Perry, J. L., & Katula, M. C. (2007). Incorporating service learning into public affairs programs: Lessons from the literature. Journal of Public Affairs Education, 13(2), 243-264. https://doi.org/10.1080/15236803.2007.12001478
Lambright, K. T., & Lu, Y. (2009). What impacts the learning in service learning? An examination of project structure and student characteristics. Journal of Public Affairs Education, 15(4), 425-444. https://doi.org/10.1080/15236803.2009.12001570
Lorenzo, M., Sáez-Gambín, D., Ferraces Otero, M. J., & Varela, C. (2021). Reflection and Quality Assessment in Service-Learning Projects. When, with whom, and why. Frontiers in education, 5, 1-14. https://doi.org/10.3389/feduc.2020.605099
Miron, D., & Moely, B. E. (2006). Community agency voice and benefit in service-learning. Michigan Journal of Community Service Learning, 12(2), 27-37.
Moely, B. E., & Ilustre, V. (2014). The Impact of Service-Learning Course Characteristics on University Students' Learning Outcomes. Michigan Journal of Community Service Learning, 21(1), 5-16. http://files.eric.ed.gov/fulltext/EJ1116526.pdf
National Youth Leadership Council. (2008). K-12 Service-Learning Standards for Quality Practice. https://nylc.org/k-12-standards/
Reames, T. G., Blackmar, J. M., & Pierce, J. C. (2020). Teaching the three E’s of sustainability through Service‐Learning in a professional program. New Directions for Teaching and Learning, 2020(161), 73-82. https://doi.org/10.1002/tl.20374
Santos Rego, M. A., Mella Núñez, Í., & Sotelino Losada, A. (2020). Movilidad y TIC en aprendizaje-servicio: perspectivas para una sociedad global y tecnológica. RIED, 23(1) 67-84. http://dx.doi.org/10.5944/ried.23.1.24180
Sigmon, R. (1979). Service-learning: Three principles. Synergist, 8(1), 9-11. https://nsee.memberclicks.net/assets/docs/KnowledgeCenter/IntegratingExpEduc/BooksReports/55.%20service%20learning%20three%20principles.pdf


22. Research in Higher Education
Poster

University Students’ Management of “Learning to Learn Competence” and its Influence on Academic Performance

Bernardo Gargallo López, Francesc Josep Sánchez i Peris, Irene Verde Peleato, Gemma Cortijo Ruiz, Verónica Riquelme Soto

University of Valencia, Spain

Presenting Author: Gargallo López, Bernardo

Learning to Learn (LtL) is one of the eight key competences that the European Commission proposed for education systems (EC, 2006) and this competence was described as follows:

“Learning to learn” is the ability to pursue and persist in learning […], to organise one’s own learning, including through effective management of time and information, both individually and in groups. […] awareness of one’s learning process […] identifying available opportunities […] overcome obstacles in order to learn successfully. […] gaining, processing and assimilating new knowledge and skills. […] to use and apply knowledge and skills in a variety of contexts […]. Motivation and confidence are crucial to an individual’s competence. (p. 16)

Later, the European Council reformulated this competence, setting out the “Personal, Social and Learning to Learn Competence” (EC, 2018), which places more importance on social aspects than in the earlier definition:

Personal, social and learning to learn competence is the ability to reflect upon oneself, effectively manage time and information, work with others in a constructive way, remain resilient and manage one’s own learning and career. It includes the ability to cope with uncertainty and complexity, learn to learn, support one’s physical and emotional well-being […] empathize and manage conflict. (p. 5)

The definition of LtL relies mainly on the scientific literature on Strategic Learning (SL) (Weinsten, 1988) and Self-Regulated Learning (SRL) (Pintrich, 2004; Zimmerman, 2002).

Based on a literature review, our research team developed a model on LtL, including the three classical dimensions coming from the theory about SL and SRL: Cognitive, Metacognitive and Affective-Motivational, an also the Social-Relational dimension, rooted in the social-cognitive theory (Thoutenhoofd & Pirrie, 2013). These ideas clearly influenced the current proposal of the EU (2018), who has renamed LTL as ‘personal, social and learning to learn competence’ (Caena, 2019); Sala et al., 2020).

We added to these four dimensions a fifth one, an Ethical dimension (Gargallo et al. 2020). It is necessary, to handle the learning to learn competence well, that students respect ethical codes and contribute to create an increasingly equitable society (Cortina, 2013; Buxarrais & Conceiçao, 2017).

The European Union aimed for students to achieve an adequate mastery of LtL at the end of compulsory schooling. Generally speaking, we tend to think that students manage it quite well when they start university, and that this management will improve as they continue their university studies. However, this assumption needs to be verified. It is not proved that university students handle this competence with an adequate skill, and there are some researchers who defend that they need specific training (Cameron and Rideout, 2020; Viejo and Ortega-Ruiz, 2018).

So, we believe that is very important to establish whether university students manage LtL well and to analyse its impact on academic achievement, given that there are few studies available on the topic in higher education. For this purpose, we have collected data from the research Project we are developing[1].

The aim of this work is to concrete the level at which this competence is managed, and also to delimit profiles of LtL use by university students and their relation to academic performance.

Based on these data, we are developing in our current research project an intervention model for teaching this competence, which may be useful for European researchers and university teachers.

[1] ‘The learning to learn competence in the university, its design and curriculum development. a model of intervention and its application in university degrees’ Project PID2021-123523NB-I00, funded by the MCIN/AEI /10.13039/501100011033 and by ERDF A way of making Europe.


Methodology, Methods, Research Instruments or Sources Used
Design

The research used a quantitative non-experimental descriptive and correlational design (McMillan & Schumacher, 2010).

Sample

The sample consisted of 1.120 students from two public  universities in the city of Valencia (Spain) (University of Valencia and Polytechnic University of Valencia) belonging to different areas of study and to different academic years. They answered the QELtLCUS (Questionnaire to Evaluate the Learning to Learn Competence of University Students), an instrument developed by the research team (Gargallo et al., 2021).
Instruments
The QELtLCUS questionnaire comprises 85 items organized in 5 scales, that assess the five dimensions of the theoretical model listed above (cognitive, metacognitive, affective-motivational, social-relational, and ethical) and 29 subdimensions. The questionnaire has a self-report format, and the students answered the items on a five-item Likert-type response scale, agree-disagree (5-4-3-2-1).
The questionnaire’s construct validation was checked through confirmatory factor analysis (CFA) (Gargallo et al., (2021) using the lavaan program (Rosseel 2012), as there was a theoretical model whose validity was to be tested and given that there was a clear idea of what items comprised each dimension and subdimension of the instrument (Lloret-Segura et al., 2014).
Procedures
We also collected the grades of these students in the first trimester of the 2022-2023 academic year.
The students answered the questionnaire in a single ordinary class session through an online application. The requirements of the Ethics Committee of the Universidad de Valencia were taken into account: the students were informed of the aims and process of the research, and participation was voluntary. Before answering, they gave informed consent and then completed the questionnaire, including demographic data, but no data that personally identified them, in order to respect their anonymity.
We performed descriptive analyses, cluster analysis and analysis of differences, and also multiple linear regression analysis. Statistical analyses were performed by SPSS 26.0.

Conclusions, Expected Outcomes or Findings
In order to check the level of management of LtL, we performed descriptive analyses and we studied the mean scores of the students in the 5 dimensiones and 29 subdimensions.
The sample subjects indicated an acceptable management level, but with low scores for some relevant LtL dimensions (specially Planning, Organising and Controlling Anxiety). The highest scores were found in Social-Relational and Ethical dimensions (higher than 4). The scores in Cognitive, Metacognitive and Affective-Motivational dimensions were higher than 3 and lower than 4.
By means of cluster analysis two groups were found with two different management profiles: one of them with a high level and another one with a lower level in the five dimensions of LtL competence and in the 29 subdimensions. The students in the first group scored better than those in the second group, in LtL and also in grades, with statistically significant results.
To analyse the influence of the LtL dimensions on academic achievement we implemented a complete multiple regression model for each group (high and lower), with the criterion being academic achievement and the predictors the five LtL dimensions.
The regression model was significant in the lower group, with an explanation by the predictors for academic achievement of 2.3%, and also in the high group, with an explanation of 6.8%.
As for significant predictors that contribute to the explanation of the model, only the metacognitive dimension was significant in the lower group, but in the high group, they were all significant except for the ethical dimension, with the cognitive dimension having the greatest contribution and the social-relational dimension the smallest.
In conclusion, this competence influences academic performance and not all students show a high level of proficiency. Therefore, it is necessary to teach the competence, at least in the first years of university degrees.



References
Buxarrais, Mª R. & Conceiçao, Mª (2017). Competencias y competencia ética en la educación superior. En E. Vila (Coord.) Competencias éticas y deontología profesional en la universidad (pp. 89-128). Aljibe.
Caena, F. (2019). Developing a European Framework for the Personal, Social & Learning lo Learn Key Competence. Publications Office of the European Union. https://bit.ly/2vBzK8A
Cameron, R. B. & Rideout. C.A. (2020). It’s been a challenge finding new ways to learn: fist-year students’ perceptions of adapting to learning in a university environment. Studies in Higher Education, 42 (11), 2153-2169. https://doi.org/10.1080/03075079.2020.1783525.
Cortina, A. (2013) ¿Para qué sirve realmente la ética? Barcelona: Paidós.
EC (2006). Recommendation of the European Parliament and of the Council of 18 Decembrer 2006 on Key Competences for LifeLong Learning. European Commission.
EC (2018). Accompanying the document Proposal for a COUNCIL RECOMMENDATION on Key Competences for LifeLong Learning. European Commission. Retrieved from http://data.consilium.europa.eu/doc/document/ST-5464-2018-ADD-2/EN/pdf
Sala, A., Punie, Y., Garkov, V. & Cabrera Giraldez, M. (2020). LifeComp: The European Framework for Personal, Social and Learning to Learn Key Competence. Publications Office of the European Union. https//doi.org/10.2760/302967.
Gargallo Lopez, B.; Perez-Perez, C.; Garcia-Garcia, F.J.; Gimenez Beut, J.A., & Portillo Poblador, N. (2020). The skill of learning to learn at university. Proposal for a theoretical model. Educación XX1, 23(1), 19-44, http://doi.org/0000-0002-7158-6737
 Gargallo-López, B., Suárez-Rodríguez, J.M., Pérez-Pérez, C., Almerich Cerveró, G., & Garcia-Garcia, F.J. (2021). The QELtLCUS questionnaire. An instrument for evaluating the learning to learn competence in university students. RELIEVE, 27(1), art. 1. http://doi.org/10.30827/relieve.v27i1.20760
Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., y Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada Anales de Psicología, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361
McMillan, J. H., & Schumacher, S. (2010). Research in Education: Evidence Bases Inquiry, 7th Edition. Pearson.
Rosseel, Y. (2012). Lavaan: An R Package for Structural Equation Modeling. Journal of statistical software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
Thoutenhoofd, E.D. & Pirrie, A. (2015). From self-regulation to learning to learn: observations on the construction of self and learning. British Educational Research Journal, 4 (1), 72-84. https://doi.org/10.1002/berj.3128
Viejo, C. & Ortega-Ruiz, R. (2018). Competencias para la investigación: el trabajo de fin de Máster y su potencialidad formativa. Revista de innovación y buenas prácticas docentes, 5, 46-56. https://doi.org/10.21071/ripadoc.v5i.10970
Weinstein, C.E. (1988): Assessment and training of student learning strategies. In R.R. Schmeck, Learning strategies and learning styles (pp. 291-316). Plenum Press.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: an overview. Theory into Practice, 41, 64-70.


22. Research in Higher Education
Poster

Psychosocial Readiness for College and Higher Education Orientations Among First- and Non-First- Generation Ethnic Minority Students: A Longitudinal Study

Shada Kashkoush, Yuliya Lipshits-Braziler

Hebrew University, Israel

Presenting Author: Kashkoush, Shada

Higher education is essential for economic and social mobility (Brown, 2013). First-generation college students (FGCS) are students who are the first in their families to pursue higher education (Garriott & Nisle, 2018). For FGCS, being a college student means having to contend with more potential stressors throughout their higher education (Garriott & Nisle, 2018). Furthermore, FGCS are more likely to drop out than non-FGCS (Fletcher et al., 2022). Compared to non-FGCS, FGCS are disadvantaged in terms of academic achievement and sense of belonging at college (Wilbur & Roscigno, 2016). A notable percentage of FGCS come from ethnic minority groups (Longwell-Grice et al., 2016). This combination, of being FGCS and an ethnic minority, is associated with adversities in terms of academic achievement, wellbeing, and academic stress (Williams et al., 2024). Additionally, it highlights the importance of targeted interventions for ethnic minority FGCS as underrepresented group (Gehringer et al., 2022).

There is a growing recognition regarding psychosocial resources with which a student can manage the challenges required for successful integration into academic studies (Phillips-Berenstein et al., 2023). The Psychosocial Readiness for College (PRC) model and measure (Phillips-Berenstein et al., 2023), describes six psychosocial resources that ease the challenges of academic performance and enable academic persistence: (a) academic self-efficacy; (b) educational commitment; (c) social comfort; (d) campus engagement; (e) self-discipline; and (f) resilience. Based on the research of Robbins et al. (2004), we aimed in the present research to add an additional factor: (g) institutional commitment, referring to a student’s commitment to study in the current higher education institution and their preference for the current institution over others. Phillips-Berenstein et al. (2023) found that FGCS were higher than non-FGCS in educational commitment and self-discipline. Additionally, they found that students with low levels of educational commitment, social сomfort, and campus engagement are two to three times more likely to dropout of college (Phillips-Berenstein et al., 2023).

An additional factor that may affect optimal college integration is the meaning individuals ascribe to higher education. The Higher Education Orientations model and measure (HEO; Willner et al., 2023) is conceptualized with five distinct purposes for attending college: (a) gaining a profession; (b) gaining knowledge; (c) external pressure; (d) prestige; and (e) social networking. Willner et al. (2023) used the HEO questionnaire among deliberating young adults and college applicants to see how these factors affected their career decision making process. According to their research individuals seeking to gain profession and knowledge were found to use productive coping strategies and were further along the decision-making process. Contrary, individuals leaning more towards the social, prestige, and external orientations faced more career decision-making difficulties, used nonproductive coping strategies, and were farther behind the decision-making process (Willner et al., 2023).

The Present Research

The intersection of being an ethnic minority and a FGCS may lead to heightened levels of disadvantages. This highlights the importance of understanding two essential factors concerning integration and persistence in higher education: psychosocial readiness for college and higher education orientations. Despite their importance, they have not been studied among ethnic minority FGCS and non-FGCS. Thus, the first goal of this study is to test differences in psychosocial readiness for college and higher education orientations among FGCS and non-FGCS Arab ethnic minority first year college students in Israel. The second goal is to test how these factors predict academic satisfaction one year later. Examining these factors enriches the knowledge about ethnic minority FGCS and non-FGCS, which may contribute to other ethnic minorities. Considering the contribution of academic satisfaction to college persistence, understanding the link between the studied factors and academic satisfaction can enrich the knowledge about college attrition.


Methodology, Methods, Research Instruments or Sources Used
At the beginning of the academic year (Time 1), participants were 1055 Arab ethnic minority first year undergraduate students, studying in 17 colleges and universities in Israel. Of the participants, 76% were women and 66.8% were FGCS. Students were asked to fill out the online questionnaire, containing several parts: (a) demographic questionnaire (gender, age, college major, institution, and parents' education); (b) the Arabic version of the Psychosocial Readiness for College questionnaire (PRC; Phillips-Berenstein et al., 2023) including 38 items (median Cronbach α is .85; Cα range .76–.88 for the six PRC dimensions); (c) the Arabic version of the Higher Education Orientation questionnaire (HEO; Willner et al., 2023) including 25 items (median Cronbach α is .75; Cα range .68–.79 for the five orientations).
One year later (Time 2), these students were asked to fill out a follow-up online questionnaire. Of the 1055 students, 370 students completed the follow-up questionnaire (80.3% women, 65.9% FGCS), containing (a) demographic questionnaire (current institution, their college major and whether they have changed their college institution or/and majors); and (b) academic satisfaction (Lent et al., 2005) including seven items (the Cα internal-consistency reliability in the present study was .89). The results of t-tests revealed that participants in the follow-up did not differ from those who did not participate (corrected α = .003) in terms of their PRC (ps range .19 - .98) and their HEO (ps range .85 - .96) scales. In addition, no differences were found in age, gender distribution, religion distribution, and college-generation distribution between those who participated in the follow-up compared to those who did not.
First, the properties of the variables were explored. Second, MANOVA analyses were conducted to test gender and college-generation status differences (as they were the two independent variables), and the seven psychosocial resources and the five higher education orientations were the dependent variables. Third, to determine which psychosocial resources and higher education orientations predict academic satisfaction one year later, two linear regressions were carried out for psychosocial resources and higher education orientations, separately.

Conclusions, Expected Outcomes or Findings
The results revealed that in terms of psychosocial readiness for college, FGCS scored higher than non-FGCS only in self-discipline. According to Phillips-Berenstein et al. (2023), a possible explanation is that FGCS who succeeded in attaining higher education despite the obstacles may have high self- discipline that helps them cope with these adversities. In higher education orientations, no differences between FGCS and non-FGCS were found. Interestingly, among non-FGCS higher knowledge and lower external pressure higher education orientations predicted greater academic satisfaction one year later, while psychosocial factors did not contribute to the prediction. Among FGCS, profession orientation and four psychosocial factors (academic self-efficacy, institutional commitment, self-discipline and resilience) positively predicted academic satisfaction one year later.
The present research is the first to study psychosocial readiness for college and higher education orientations among FGCS and non-FGCS ethnic minority students, and how these factors predicted academic satisfaction. The contribution of institutional commitment to academic satisfaction emphasizes the importance of adding this scale to the psychosocial readiness for college model and questionnaire. Understanding these factors provides essential addition to the literature on ethnic minorities and college-generation in higher education.
Students’ individual and social characteristics have a strong impact on their probability to succeed in higher education. Based on our findings, it is important to systematically monitor ethnic minority FGCSs’ psychosocial resources (especially academic self-efficacy, institutional commitment, self-discipline and resilience), and the meaning they attribute to higher education (especially, acquiring a profession) even prior to the beginning of their academic studies. This can help identify those at risk and facilitate institutional interventions through personal counselling, coaching and mentoring.

References
Brown, P. (2013). Education, opportunity and the prospects for social mobility. British Journal of Sociology of Education, 34(5–6), 678–700.
Fletcher, A. C., Jensen, M., & Vrshek-Schallhorn, S. (2022). Novel perspectives on adversity exposure, stress responding, and academic retention among first- and continuing-generation students. Emerging Adulthood, 11(1), 175-189.
Garriott, P. O., & Nisle, S. (2018). Stress, coping, and perceived academic goal progress in first-generation college students: The role of institutional supports. Journal of Diversity in Higher Education, 11(4), 436-450.
Gehringer, T. A., Folberg, A. M., & Ryan, C. S. (2022). The relationships of belonging and task socialization to GPA and intentions to re-enroll as a function of race/ethnicity and first-generation college student status. Journal of Diversity in Higher Education, 15(6), 744-754.
Lent, R. W., Singley, D., Sheu, H. B., Gainor, K. A., Brenner, B. R., Treistman, D., & Ades, L. (2005). Social cognitive predictors of domain and life satisfaction: Exploring the theoretical precursors of subjective well-being. Journal of Counseling Psychology, 52(3), 429–442.
Longwell-Grice, R., Adsitt, N. Z., Mullins, K., & Serrata, W. (2016). The first ones: Three studies on first-generation college students. Nacada Journal, 36(2), 34-46.
Phillips-Berenstein, M., Willner, T., & Gati, I. (2023). Psychosocial readiness for college: A multidimensional model and measure for students entering college in their twenties. Journal of Career Assessment. Advance online publication. https://doi.org/10.1177/10690727231186770
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288.
Wilbur, T. G., & Roscigno, V. J. (2016). First-generation disadvantage and college enrollment/completion. Socius, 2, 1-11.
Wilkins-Yel, K. G., Roach, C. M., Tracey, T. J., & Yel, N. (2018). The effects of career adaptability on intended academic persistence: The mediating role of academic satisfaction. Journal of Vocational Behavior, 108, 67-77.
Williams, C. D., Moreno, O., Hood, K. B., Santana, A., Johnson, K. F., Garcia-Rodriguez, I., ... , & Spit for Science Working Group. (2024). Longitudinal associations between well-being and academic achievement throughout the COVID-19 pandemic: Testing the moderating role of academic stress among first-generation and continuing college students. Journal of Diversity in Higher Education. Advance online publication.
Willner, T., Lipshits-Braziler, Y., & Gati, I. (2023). Construction and initial validation of the higher education orientations questionnaire. Journal of Career Assessment, 31(1), 85-108.


 
Contact and Legal Notice · Contact Address:
Privacy Statement · Conference: ECER 2024
Conference Software: ConfTool Pro 2.6.153+TC
© 2001–2025 by Dr. H. Weinreich, Hamburg, Germany