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Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 05:42:30am GMT

 
 
Session Overview
Session
22 SES 07 A
Time:
Wednesday, 23/Aug/2023:
3:30pm - 5:00pm

Session Chair: Monika Ryndzionek
Location: Adam Smith, 1115 [Floor 11]

Capacity: 207 persons

Paper Session

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Presentations
22. Research in Higher Education
Paper

Beyond Distance: Higher Education Students Learning Experiences during Lockdown

Maria Manuel Vieira, Ana Sofia Ribeiro

ICS-University of Lisbon, Portugal

Presenting Author: Vieira, Maria Manuel

COVID-19 pandemic had a major adverse impact on the lives of people and societies over the past two years, particularly in the educational sector. Public health measures to deal with the COVID-19 pandemic disrupted education in over 150 countries and affected 1.6 billion students [1]. The lockdowns imposed on several countries forced many children and young people to migrate from face-to-face education to distance learning. Strictly speaking, this was not distance learning, i.e., “well-planned online learning experience”, but rather emergency remote learning, “courses offered online in response to a crisis” [2].

The pandemic situation inspired many studies and reports on education in times of lockdown. Much literature focused policy responses devised in this period [3, 4], highlighting the idea that educational inequalities have increased considerably with the disruption caused by the various lockdowns [5, 6]. Some authors have looked at pedagogical issues and teaching practices associated with distance learning [3], focusing on teachers’ perspectives [8], mainly at the school level.

Comparatively fewer studies have looked at the perspective of young students and analysed how they have adapted to distance learning. The reason for this gap may be the assumption that young people would not have difficulties migrating to this type of education because they are considered “digital natives” [9].

In fact, the literature indicates that young people are intensive users of digital technologies [10], and digital practices underpin the intense mediated experience prevalent in the everyday lives of these so-called “digital natives”. Navigating in this ubiquitous environment changes the way students think and process information [9].

In contrast, conventional face-to-face teaching in secondary and tertiary education is largely structured in sequential times and contents, delivered step-by-step, and undertaken in rigid spaces.

The shift to online learning imposed by the lockdowns represented an opportunity to change this paradigm, bringing teaching closer to the online environment familiar to young people. One might expect students to prefer this move to online learning. However, research conducted these past two years on online learning during lockdown converges on a common trait: students generally do not like the virtual learning experience they have been forced to enter [3, 11, 12]. There seems to be a paradox here: young digital natives, avid users of technology (although mostly for leisure purposes) claim to prefer face-to-face teaching to distance learning. It matters then to examine the reasons behind this preference, beyond the issues of emergency limitations to teaching in disaster contexts

Based on the results of one online survey applied in the second lockdown period in Portugal (February 2021), this contribution seeks to determine what young respondents (16–24 years old) think about their experiences of attending classes from home. More specifically, the proposal aims to delve into young students’ perceptions and experience with remote education; and to investigate expectations of academic life postponed or frustrated during this period.


Methodology, Methods, Research Instruments or Sources Used
This communication is empirically based on an extensive online survey undertaken by the Institute of Social Sciences of the University of Lisbon (ICS-ULisboa) [7], applied between 11 and 25 February 2021 during a second extended lockdown in Portugal, following a particularly critical period in epidemiological terms. It explores one of the topics of the questionnaire — the impact of the lockdown on young student’s lives and their experiences with distance learning—and draws on the questions (closed and open-ended) formulated in the survey on this issue.
The questionnaire was subject to ethics approval by the Ethics Committee of the Institute (ICS) and required respondents to give their informed consent prior to filling in the form. It was distributed through the Qualtrics platform.
The sample obtained is a “snowball” sample: the survey was initially shared through the social networks Facebook and Twitter and email among a non-random sample of individuals, and was then shared by the respondents who wished to do so. This is a convenience sample, restricted to respondents who have access to the internet, which does not allow generalisations to be made. Thus, all results presented in this proposal have a strictly exploratory value.
This proposal focuses on the sub-sample of young students aged 16–24 (1009 individuals, 13% of the total sample). In this group, girls are largely over-represented (73%). In turn, young teenagers (16–18 years old), many of them still secondary school students, are much less present in this sample (#38) compared to young adults (19–24 years old), who make up the majority of these respondents (#971). The set of socio-economic indicators allows us to conclude that this sample is socially biased, as it concerns a relatively privileged young population. In fact, in terms of household income before the pandemic, the majority of respondents (56.4%) indicate that it allowed them to “live comfortably” or to “live reasonably” (37.2%). Only a small proportion of the sample states “it being difficult” (6.0%) or even “very difficult” (0.3%) to live on the family income.
We conducted a descriptive statistical analysis of the closed questions and developed a thematic categorical analysis of the written responses, in the case of the open-ended questions.

Conclusions, Expected Outcomes or Findings
The data collected revealed, in general, that there were no difficulties in accessing equipment or internet connection to attend online classes. Respondents also reported no difficulties in using digital media and in adapting to remote learning platforms, which is in line with Prensky’s theses about young “digital natives’” skills. However, this does not mean a positive adherence to the “emergency remote learning” put in place following the lockdown.
For some students surveyed, this solution brought some sense of planning and organisation to their lives during these troubled times. The online classes helped them to create a routine that provided security and a sense of control of the situation, in the face of the external chaos.
However, this was not the feeling experienced by most young students. Despite being “digital natives” and intensive consumers of ICTs [10], they seemed to dislike this online learning modality.
The youth experience of communication through digital media is based on permanent connection and feedback, fast information exchange and multi-tasking, and involves an emotional investment. This seems to contrast with their online learning experience. Many complained that this distance learning is the mere reproduction of face-to-face classes (spending hours watching presentations on the screen) and complained about the excessive duration of the classes, the workload required, and the suspension of practical, experimental or internship classes, which it is difficult to transfer directly to the digital medium.
The mismatch between teaching practice and the medium of communication used is certainly one of the causes of the displeasure with this “emergency remote teaching” that many young people express.
However, this is not the only reason. Based on young people’s perspectives, this study sheds light on other aspects, namely those related to the broader student experience, such as socialisation and participation, well beyond the academic dimension.


References
1.Munoz-Najar, A.; Gilberto, S.; Hasan, A.G.; Hasan, A.; Romani, J.C.; Azevedo, J.P.W. de; Akmal, M. Remote Learning During COVID-19: Lessons from Today, Principles for Tomorrow; World Bank Group: Washington, DC, USA, 2022.
2.Hodges, C.; Moore, S.; Lockee, B.; Trust, T.; Bond, A. Difference Between Emergency Remote Teaching and Online Learning; Edu-cause Review; Boulder, Colorado, 27 March 2020.
3.European Parliament. Directorate General for Internal Policies of the Union. Education and Youth in Post-COVID-19 Europe: Crisis Effects and Policy Recommendations; Publications Office: Luxembourg, 4 May 2021.
4.Marques, B.P.; Marques, R.; Reis, R. Student’s Social Vulnerability in Distance Learning in COVID-19 Times. In Proceedings of the 14th IADIS International Conference e-Learning 2020, EL 2020, Online, 21–23 July 2020; pp. 175–180.
5.Sarró, X.; González, S. Educación Formal e Informal En Confinamiento: Una Creciente Desigualdad de Oportunidades de Aprendizaje. Rev. Sociol. Educ. 2021, 14, 44. https://doi.org/10.7203/RASE.14.1.18177.
6.European Foundation for the Improvement of Living and Working Conditions. Impact of COVID-19 on Young People in the EU; Publications Office: Luxembourg, 14 December 2021.
7.Gouveia, R.; Silva, S.; Almeida, A.N.; Wall, K.; Vieira, M.M.; Carvalho, D.; Ribeiro, A.S. Os impactos sociais da pandemia: o segundo confinamento. Report, 2021. https://repositorio.ul.pt/handle/10451/49662.  
8.Erlam, G.D.; Garrett, N.; Gasteiger, N.; Lau, K.; Hoare, K.; Agarwal, S.; Haxell, A. What Really Matters: Experiences of Emergency Remote Teaching in University Teaching and Learning During the COVID-19 Pandemic. Front. Educ. 2021, 6, 639842. https://doi.org/10.3389/feduc.2021.639842.
9.Prensky, M. Digital Natives, Digital Immigrants Part 1. Horizons 2001, 9, 1–6. https://doi.org/10.1108/10748120110424816.
10.Sagnier, L.; Morrel, A. Os Jovens Em Portugal, Hoje: Quem São, Que Hábitos Têm, o Que Pensam e o Que Sentem; Fundação Francisco Manuel dos Santos: Lisboa, 2021.
11.Lemay, D.J.; Bazelais, P.; Doleck, T. Transition to Online Learning during the COVID-19 Pandemic. Comput. Hum. Behav. Rep. 2021, 4, 100130. https://doi.org/10.1016/j.chbr.2021.100130.
12.Tulaskar, R.; Turunen, M. What Students Want? Experiences, Challenges, and Engagement during Emergency Remote Learning amidst COVID-19 Crisis. Educ. Inf. Technol. 2022, 27, 551–587. https://doi.org/10.1007/s10639-021-10747-1.
13.Ferri, F.; Grifoni, P.; Guzzo, T. Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations. Societies 2020, 10, 86. https://doi.org/10.3390/soc10040086.


22. Research in Higher Education
Paper

Being Social Online – How Self-organized Virtual Student Teams Created and Sustained the Social Climate in the Team (or not)

Nina Haugland Andersen, Ela Sjølie, Nina Tvenge, Marte Blekastad Forset

Norwegian University of Science and Technology (NTNU), Norway

Presenting Author: Haugland Andersen, Nina; Forset, Marte Blekastad

Virtual collaboration is becoming increasingly more common in work life and education, a development that has been accentuated by the Covid-19 pandemic. Working together via online platforms enables collaboration across the globe, which is considered key for realizing the UN’s sustainable development goals, as people from all over the world and from different professions and disciplines can be brought together to solve global problems. The same holds true for education, where online platforms allow student collaboration across institutions and geographical borders and thus for exposing students to viewpoints and the diversity of people from different places (Usher & Barak, 2020). It is thus imperative that students learn to work in and as teams in online settings. One pedagogy to facilitate such learning is project-based learning, a form of student-centric, collaborative learning whereby students work on projects with real-world problems (Guo et al., 2020; Krajcik & Blumenfeld, 2006).

However, virtual collaboration brings challenges, particularly those related to the social dimensions of teamwork. Social interaction is more difficult when communication happens digitally (Janssen & Kirschner, 2020). Without the non-verbal communication that occur in face-to-face interactions, digital interactions are often more formal (Pérez-Mateo & Guitert, 2012). A team is inherently a social entity and the interaction between team members is critical to develop and sustain beneficial team emergent states (Akan et al., 2020). Social interaction in a team is furthermore essential for learning and general wellbeing (Sjølie et al., 2022). Scholars in education have therefore focused on how social interaction can be enabled and stimulated in online environments.

Despite abundant research on online student collaboration, researchers have only to a limited extent explored learning settings where student teams self-organize their collaboration (Sjølie et al., 2022). Research has primarily focused on how online learning environments can be designed to improve learning or on how teachers and technology can facilitate social interaction. What has been missing is a focus on students as agents rather than passive learners who are molded by teachers or technology. To understand how student teamwork and learning are enabled and constrained within virtual environments we need to explore how student collaboration play out in online settings when students (primarily) organize and lead themselves, in interaction with a variety of online platforms and tools.

This paper provides insight into the social aspects of student teamwork in a digital or hybrid environment. With a qualitative design, the study explores how students experienced the social climate in their virtual and hybrid teams in an interdisciplinary project-based course during the COVID-19 pandemic and whether and how they took actively part in creating and sustaining the social climate in their teams.

We use the term social climate for the key characteristics of the socio-emotional dimension of interaction within a team. The socio-emotional dimension is typically fostered in non-task contexts and is characterized as more casual than task-related interaction (Kreijns et al., 2013). Some researchers understand the socio-emotional dimension as the interaction that is perceived to go beyond what is strictly necessary to achieve an academic goal (Pérez-Mateo & Guitert, 2012). Using these existing accounts from the literature, the social climate is fostered both in task and non-task contexts, and it describes the students’ perceptions of being part of a team. We will also draw on Sias’ (2009) three types of peer relationships – information peer relationships, collegial peer relationships and special peer relationships. Sias argues that the quality of peer relationships affects satisfaction, commitment, and stress on the individual level. While Sias (2009) is concerned with peer relationships within an organization, it is reasonable to assume that there are similarities between peer relationships and team member relationships.


Methodology, Methods, Research Instruments or Sources Used
The study was conducted in an interdisciplinary project course at a Norwegian University. In each year cohort, approximately 3200 students from all faculties are divided into about 110 classes of 25-30 and teams of 5-7 students. The teams work on real-world problems and define their own project. No specific guidelines are provided regarding how to distribute team roles and tasks. The teaching staff in each class comprise one faculty and two learning assistants who are trained in team facilitation. The learning assistants' primary role is to stimulate reflection on situations in the teams throughout the project life cycle. The student teams are assessed based on two exam reports, each accounting for 50% of the final grade: one process report with reflections on situations from their collaboration and one product report. In its original form, the majority of the classes meet face-to-face for entire workdays, while 12 classes meet via online platforms. Due to the covid pandemic, the face-to-face classes also had to be conducted partly or fully online.
A qualitative research design was employed, including interviews with 21 students in three individual interviews and five focus groups. The participants were from different teams who collaborated only virtually (voluntary if in one of the original virtual classes or involuntary due to the pandemic), or in a combination of face-to-face and online. All interviews were conducted via Zoom and lasted for about one hour. In the group interviews an emphasis was put on creating a safe and dynamic group discussion by initiating the interviews with ice-breaker questions and structured rounds were the students answered more introductory questions. However, the main part of the interview was a group conversation where the students talked about what supported and what hindered a good collaboration in their group. During the group conversation the researchers, two in each interview, mainly observed, but also asked a few facilitative questions. The individual interviews aimed to cover the same topics as the focus group, through the use of a semi-structured interview guide. Transcribed interviews were analyzed in NVivo using open coding, and subsequently codes about similar topics were grouped together in code groups. The code groups related to the social climate were analyzed by a team of four researchers using conventional qualitative content analysis (Hsieh & Shannon, 2005).

Conclusions, Expected Outcomes or Findings
The findings show large variations regarding how the students related to the social aspect of teamwork and to what extent they chose to take actions to facilitate a social environment. Common for most of the teams was that social interaction and social connectedness were more challenging in the online mode. However, there was differences in how students valued the social aspect of their work and to what extent they believed that it is possible to be social in an online environment. There was also a variation between teams in how much effort the members had put into creating and sustaining a good social environment.

Empirically, the study contributes to the scarce body of knowledge on self-organized online student project teams, and thus deepens our understanding of how student collaboration and learning play out in online settings when students (primarily) organize and lead themselves. The study implies two barriers to the social aspect of online student teamwork: Firstly, not all students view the social aspect as an integrated part of the teamwork which is important for the team's productivity, learning and team members' well-being. Secondly, many students consider the digital environment to be an obstacle for being social and they lack both the belief and skills to act as agents and take the necessary actions to create and sustain a beneficial social environment in their team. A practical implication of this study is that providing the students with an understanding of what role the social aspect plays in teamwork, as well as the necessary digital social competence, will make them better equipped to foster the social aspect in their virtual teams.

References
Akan, O. H., Jack, E. P., & Mehta, A. (2020). Concrescent conversation environment, psychological safety, and team effectiveness: Examining a mediation model. Team performance management, 26(1-2), 29-51. https://doi.org/10.1108/TPM-07-2019-0079

Guo, P., Saab, N., Post, L. S., & Admiraal, W. (2020). A review of project-based learning in higher education: Student outcomes and measures. International Journal of Educational Research, 102. https://doi.org/10.1016/j.ijer.2020.101586

Hsieh, H.-F., & Shannon, S. E. (2005). Three Approaches to Qualitative Content Analysis. Qualitative Health Research, 15(9), 1277-1288. https://doi.org/10.1177/1049732305276687

Janssen, J., & Kirschner, P. A. (2020). Applying collaborative cognitive load theory to computer-supported collaborative learning: towards a research agenda. Educational Technology Research and Development, 68(2), 783-805. https://doi.org/https://doi.org/10.1007/s11423-019-09729-5

Krajcik, J. S., & Blumenfeld, P. C. (2006). Project-based learning. In K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 317-333). Cambridge University Press.

Kreijns, K., Kirschner, P. A., & Vermeulen, M. (2013). Social Aspects of CSCL Environments: A Research Framework. Educational psychologist, 48(4), 229-242. https://doi.org/10.1080/00461520.2012.750225

Pérez-Mateo, M., & Guitert, M. (2012). Which social elements are visible in virtual groups? Addressing the categorization of social expressions. Computers & Education, 58(4), 1234-1246. https://doi.org/https://doi.org/https://doi.org/10.1016/j.compedu.2011.12.014

Sias, P. M. (2009). Peer Coworker Relationships. In Organizing relationships : traditional and emerging perspectives on workplace relationships. SAGE.

Sjølie, E., Espenes, T. C., & Buø, R. (2022). Social interaction and agency in self-organizing student teams during their transition from face-to-face to online learning. Computers & Education, 189.

Usher, M., & Barak, M. (2020). Team diversity as a predictor of innovation in team projects of face-to-face and online learners. Computers & Education, 144, Article 103702. https://doi.org/https://doi.org/10.1016/j.compedu.2019.103702


22. Research in Higher Education
Paper

From the Learning Strategies University Students Should Use to the Learning Strategies they Really Use

Fernando Hernández-Hernández, Juana M Sancho-Gil

University of Barcelona, Spain

Presenting Author: Hernández-Hernández, Fernando; Sancho-Gil, Juana M

A recurrent theme in research on learning in higher education revolves around the role of learning strategies in studying, adapting to new challenges and continuing to learn (Biwer et al., 2020; Huet et al., 2008). Within this framework, there is a certain consensus that university students need to develop: i) the ability to gather and interpret relevant data (usually within their field of study) to inform judgments that include reflection on relevant social, scientific or ethical issues; ii) communicate information, ideas, problems and solutions to both specialist and non-specialist audiences (postgraduate level) and communicate their conclusions, the knowledge and rationale, to specialist and non-specialist audiences clearly and unambiguously (postgraduate level); and iii) have developed those learning skills that are necessary for them to continue to undertake further study with a higher degree of autonomy (Huet et al., 2008, p. 158)

A review of the research literature on learning strategies at the University shows that the predominant foci are on (a) the relationship between the strategies adopted by pupils in secondary education and their adequacy (or not) to the needs of higher education (Bjork, Dunlosky, & Kornell, 2013 ), (b) the strategies that students need to learn and use to succeed in higher education, (c) the strategies that either universities or teachers promote in their classes; and (d) on methods to improve metacognitive knowledge and to encourage effective learning strategies in higher education (Tullis, Finley, & Benjamin, 2013; Yan, Bjork,& Bjork, 2016). The characteristic feature of these approaches is that they aim to, after defining the authors' conceptualisation of what learning strategies are and should do, 'measure' effectiveness, usually by linking it to student performance. This approach's characteristic is that it seems to view students as an 'empty box' who, in their years of schooling and social and cultural life, have not learned and integrated learning strategies that they can transfer and use at the University.

[Anonymised] research project, instead of considering students as 'lacking', sees them as epistemic selves, prepared for rational knowledge (Charlot, 2001), as 'carriers' of knowledge and learning strategies that have been incorporated into their conceptual and practical baggage, not only in schooling experiences but also in everyday life situations and contexts (sports, socialisation, family,...). This paper focuses on making a 'reading' of what the [anonymised] conversations with the students provide. It allows us to think about the learning strategies that young people share with us and how they relate to those 'demanded by the university'. We aim to generate ways of understanding the following questions: What strategies do students use to learn? What do these strategies allow us to consider the strategies proposed by researchers and teachers as necessary for the University? How do students' strategies relate to the different degrees they study? To what extent did virtual learning during covid lead to the emergence of other learning strategies?


Methodology, Methods, Research Instruments or Sources Used
This paper builds on the project [anonymised], aimed to explore the learning trajectories of higher education students to situate their conceptions, strategies, technologies, and contexts. The project adopts a participatory and inclusive research perspective (Bergold & Thomas, 2012; Nind, 2014; Wilmsen, 2008). In its different phases, it involves members of the academic community (students, academics, managerial bodies).
In the first stage have participated 50 university students, 28 from Catalonia and 22 from the Basque Country. Thirty were women, 20 were men (55.6% and 44.4%, close to the distribution observed in Spanish universities in 2019-2020), and seven had specific needs (14%). We explored and built with them their learning lives (Erstad & Sefton-Green, 2012), placing special attention on their university learning experiences.
In the first meeting, we explained to each participant the research aims, scope, and commitment it entailed for them and us. We signed the ethical protocols. Then, we shared contradictory views obtained from scientific publications and media discourses about contemporary youth. In the second meeting, they shared a reconstruction of their learning lives from childhood to the present through textual, multimodal and rhizomatic narratives; they highlighted moments, places, people, activities, objects, technologies, timeframes, turning points, etc., which they considered crucial to their learning paths. The third meeting focused on learning moments, methods, tools, and strategies they identify as relevant for their daily learning, including academic and non-academic activities undertaken inside or outside the institutional walls. In the final session, the fourth meeting, researchers shared a draft of their learning trajectories to contribute to the final version of the text. We audio-recorded and transcribed all meetings.
This paper focuses on participants' learning strategies, the differences between degrees, and the impact of the sudden virtualisation of learning during the COVID-19 pandemic. For this paper, we concentrate on the 12 participants with whom the authors of this contribution have worked. From the transcripts, we made a table with the selected students' statements on the following subjects: what learning strategies they use to study and prepare for exams and what they also use outside university. We extracted 69 sentences and fragments of conversations and placed them in the first column. In the second, we related them to Dunlosky et al., (2013) 10 commonly used learning strategies. In the third, we discussed this list with students' strategies and included our reflections on what the students' statements allowed us to think about their learning strategies.

Conclusions, Expected Outcomes or Findings
The participants use retrieval strategies and interleaved practice for studying. However, the variety of strategies that fall into these two areas found in the literature on the subject contributes to broadening the meaning of learning strategies. Thus, in retrieval, they use: questioning and questioning what they are studying, doodles as a retrieval strategy (floating), drawing pictures as mnemonic references, and inventing metaphors. And in interleaved practice, they connect formal (study) topics with non-formal ones.
 
In addition, many use transfer strategies to their interests, real-life situations, and other knowledge. They link what they study to its social effects.
They also use metacognition strategies linked to retrieving what they have forgotten and selecting what is useful. These are just a few examples of a comprehensive spectrum in which we would like to highlight, in contrast to the individual nature of the strategies found in the bibliography, the sense of sharing that many students project in their strategies: in collaborative work, in the shared study, in explanations to other students.
Participants studying degrees with a recognised professional orientation (medicine, architecture, computer engineering) develop more strategies related to achievement, and the projects students have to develop. There is a wider variety of strategies in scientific and social science fields.
The COVID pandemic led to the re-adaptation of strategies already in use to the virtual world, the lecturers' performance, and the proposed activities. Students tried to implement more affective strategies for minimising isolation and sharing with colleagues. They 'discovered' the corporeal and affective dimension of learning, aspects not always considered in the over-cognitive views of learning strategies.
In conclusion, listening to the strategies that students develop and use makes this field of study more complex, as it calls into question the frameworks used and the very notion of 'measuring the effectiveness of learning strategies.

References
Bergold, J. & Thomas, S. (2012). Participatory Research Methods: A Methodological Approach in Motion. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, (13)1. http://www.qualitative-research.net/index.php/fqs/article/view/1801/3334
Biwer, F.,  oude Egbrink, M. G.A., Aalten, P. & de Bruin, A. B.H. (2020). Fostering Effective Learning Strategies in Higher Education – A Mixed-Methods Study,Journal of Applied Research in Memory and Cognition,9, (2), 186-203, https://doi.org/10.1016/j.jarmac.2020.03.004
Bjork, R. A., Dunlosky, J., & Kornell, N. (2013).Self-regulated learning: Beliefs, techniques, and illu-sions. Annual Review of Psychology, 64, 417–444. http://dx.doi.org/10.1146/annurev-psych-113011-143823
Charlot, B. (Org.) (2001). A Noçao de Relaçao com o Saber: Bases de Apoio Teórico e Fundamentos Antropológicos. In B. Charlot (ed.), Os Joves e o Saber. Perspectivas mundiais (15-31). ArtMed.
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham,D. T. (2013). Improving students' learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14, 4–58.http://dx.doi.org/10.1177/1529100612453266
Erstad, O., & Sefton-Green, J. (Eds.). (2012). Identity, Community, and Learning Lives in the Digital Age. Cambridge University Press.
Huet, I.,Tavares, J.,  Costa, N.,  Jenkins, A,,  Ribeiro, C. & Baptista, A.V. ( 2008). Strategies to Promote Effective Learning and Teaching in Higher Education: A Portuguese Perspective. The International Journal of Learning, 17(1),157-163.
Nind, M. (2014). What is Inclusive Research? Bloomsbury.
Pino Juste, M. & Rodríguez López, B. (2010). Learning Strategies in Higher Education. The International Journal of Learning, 17(1), 259-274. 10.18848/1447-9494/CGP/v17i01/46813
Tullis, J. G., Finley, J. R., & Benjamin, A. S. (2013). Metacog-nition of the testing effect: Guiding learners to predict the benefits of retrieval. Memory & Cognition, 41, 429–442.http://dx.doi.org/10.3758/s13421-012-0274-5
Wilmsen, C. (2008). Extraction, empowerment, and relationships in the practice of participatory research. In M. Boog, J. Preece, & J. Zeelen (Eds.), Towards Quality Improvement of Action Research (pp. 135–146). Brill Sense.
Yan, V. X., Bjork, E. L., & Bjork, R. A. (2016). On the dif-ficulty of mending metacognitive illusions: A priori theories,fluency effects, and misattributions of the interleaving benefit.Journal of Experimental Psychology: General, 145, 918–933.http://dx.doi.org/10.1037/xge0000177


 
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