99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper
Grassroots Innovations in Schools: Barriers and Ways to Overcome Them
Anastasia Andreeva, Daria Miroshnikova
HSE, Russian Federation
Presenting Author: Andreeva, Anastasia;
Miroshnikova, Daria
The innovations proposed by educational organisation staff are a specific case of so-called "bottom-up" or grassroots innovations, which arise from the initiative of individuals, as opposed to the "top-down" reform of the educational system.. An important characteristic of grassroots innovations is their orientation towards local needs and context [Gupta, 2020]. According to previous research, compared to "top-down" innovations, grassroots innovations are less constrained by institutional frameworks, are more responsive to emerging demands and opportunities, thus enabling the system to incorporate fresher and more creative solutions to existing problems [Koroleva and Khavenson, 2015; Seyfang and Smith, 2007]. In this context, innovations are understood to encompass both radically new approaches and methods, as well as existing practices adapted to the specific school context [Vincent-Lancrin et al., 2019].
The emergence of grassroots innovations has been described in previous studies as a complex and risky process [Glor, 2002]. Innovations, even if they have proven their effectiveness, encounter numerous obstacles during their implementation and dissemination, especially in conservative systems such as the education system [Halasz, 2018]. Barriers associated with the dissemination of innovations and modernisation of the school environment have been addressed in previous research [Sucha et al., 2021; Koroleva and Naushirvanov, 2020]. Key barriers include funding shortages, staffing needs, and a low willingness to adopt innovations, absence of motivation among teachers, administrators, families, and society. The next logical step would involve considering ways to overcome the identified barriers, as they are currently described only fragmentarily in the literature.
In some studies focusing on barriers and drivers within organisations similar to schools, levels at which certain barriers and drivers operate have been emphasised. For example, Sucha et al. [2021] examine the barriers and drivers of innovations in Czech libraries at four different levels: personal, local, organisational, and structural. We hypothesise that such an approach could be beneficial for studying the emergence and diffusion of innovations in the field of education. Furthermore, an in-depth understanding of these results would involve a transition from a linear correspondence between barriers and levels (according to the methodology of the Czech study, a barrier cannot occur at different levels simultaneously, which seems to be an oversimplification) to an exploration of the connections between barriers and opportunities at different levels. Thus, our research questions are:
How do innovators navigate between opportunities and barriers at different levels? What happens if a barrier arises at one level while opportunities exist at other levels?
We study these issues based on the case of one region. It allows for a detailed understanding of the barriers and strategies to overcome them. Although the local specificity is important, we believe that the result might be relevant to other regions and countries as meta-analyses show that teachers from different countries face similar challenges that might affect innovation processes in schools: high workload, insufficient funding, well-being and burnout, conservative views on the education system, and so on.
Methodology, Methods, Research Instruments or Sources UsedThe empirical data collected during the spring of 2022 in one of the Russian regions which can be considered a typical region from the point of social-economic situation and a successful region in terms of educational quality. This combination of characteristics warrants the investigation and dissemination of its experience.
Within the region, the sample was constructed based on the principle of maximum variation. The research was conducted in 8 cities, allowing for a diverse socioeconomic context. To find informants, the snowball sampling method was employed. Entry points into the field included 1) public information about innovative projects; 2) requests to representatives of regional universities, municipal education authorities, and school administrations.
In each school, efforts were made to speak with representatives of the innovative project teams and the school administration. In total, 88 interviews were conducted in 30 schools. The majority of informants in the sample were teachers of various subjects (N=55). There was also a significant proportion of administrative staff, including 23 deputy directors and 10 headteachers. With few exceptions, the respondents were female, reflecting the actual gender distribution in schools. The study was conducted in 18 regular secondary schools, 4 secondary schools with in-depth study of specific subjects, 5 gymnasiums, 2 lyceums, and 1 private school.
Semi-structured interviews were chosen as the primary method of data collection. The interview guide included questions about interest in innovation, experience in implementing new projects for the school, interaction and knowledge exchange with colleagues.
Thematic analysis of the interviews was conducted using Atlas.ti software [Bryman, 2016; Braun and Clarke, 2006]. Following the merger of two classifications, two groups of two-level codes were developed: the first group denotes the substantive essence of the barrier or driver [Koroleva and Naushirvanov, 2020; Sucha et al, 2021], while the second group distinguishes the level of the barrier or driver [Sucha et al., 2021]. The substantive codes can be divided into several groups: relationships with stakeholders, financial and material-technical infrastructure, characteristics of the collective, personal qualities, laws, and competencies. The levels considered include personal, organisational, community, regional, and federal. Moreover, it is noteworthy that each barrier and driver may occur at each of the five levels. The strategy for overcoming barriers were identified based on the logic of open coding [Blair, 2015].
Conclusions, Expected Outcomes or FindingsBased on the interviews, we have identified the key barriers that school staff face in initiating innovative projects. The identified barriers include shortage of innovative ideas, high workload of educators, resistance to innovation from teachers and parents, the inability to establish contacts with external actors, deficiency in competencies, staff shortages, lack of funding and material-technical infrastructure.
In addition, we highlighted and systemized innovators’ strategies to overcome those barriers. For example, in response to the high workload of educators hindering their professional development, we suggested transitioning training to an online format, creating a comfortable learning environment, conducting training outside of active educational cycles, and delegating training to the most competent staff members or specially hired personnel. Summarising various mechanisms of overcoming, it can be observed that interaction between the school and external organisations within the locality not only helps to overcome barriers but also encourages school staff to embrace new innovations. In case, there is no opportunity to overcome the barrier, the innovators adapt a project so that it can work with existing resources, for instance, implementing a project at the school level if it is not feasible at the city level, and so on.
Using online resources should be seen as an important strategy for overcoming barriers, including those related to limitations of a specific locality. It cannot be reduced to any of the stated levels at the previous classification of Sucha et al. (2021), so we propose to expand this classification.
Also, based on investigating the relation between the level of a barrier and the level of overcoming it, we argue that a barrier arising at one level does not necessarily need to be overcome at the same level. In cases where essential project resources are lacking, innovators have sought alternative solutions or bridged gaps using personal resources.
ReferencesBlair E. A reflexive exploration of two qualitative data coding techniques //Journal of Methods and Measurement in the Social Sciences. – 2015. – Т. 6. – №. 1. – С. 14-29.
Braun V., Clarke V. Using thematic analysis in psychology // Qualitative Research in Psychology. - 2006. - №3(2). - P. 77–101.
Bryman A. Social research methods. - Oxford university press, 2016
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Gupta S. Understanding the feasibility and value of grassroots innovation //Journal of the Academy of Marketing Science. – 2020. – Т. 48. – С. 941-965.
Halász G. Measuring innovation in education: The outcomes of a national education sector innovation survey //European Journal of Education. – 2018. – Т. 53. – №. 4. – С. 557-573.
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99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper
Does Mentors’ Socioeconomic Background Influence Their Self-evaluation?
Gergely Horváth
University of Pécs, Hungary
Presenting Author: Horváth, Gergely
Mentoring is implemented in several educational contexts as a tool for equitable intervention. The presentation focuses on university students who as mentors, participate in a mentor program situated in Hungary, that provides mentoring as an equitable service for mostly rural primary school pupils in Hungary in which pupils of low socioeconomic status (SES) and the largest Hungarian minority, the Roma minority is also overrepresented (Andl et al., 2020) leading people in the area to have intersectional difficulties (Varga, 2017). Mentoring began in the Autumn 2019 with the inclusion of Hungarian universities. All university students are free to join the mentor-training course and after its completion, they can become mentors of pupils aged c. 12-15 (Godó, 2021, Horváth, 2022). Pupils in the program are mostly at-risk youth as they face obstacles due to their SES, and racial prejudices, thus they are in an intersectional position (Varga, 2017). Mentoring aims at the manifestation of career guidance that pupils of low SES generally lack (Bereményi, 2020). Mentoring can be understood as prevention as it is to prevent early-school leaving (Bocsi, Varga & Fehérvári, 2023; Fehérvári & Varga, 2023). The presentation focuses on mentors, who also benefit from joining mentoring programs (Beltman, Herker & Fischer, 2019). Based on the literature, mentors’ success and development are based on various factors, for instance professional background (Berei, 2020), personality (Lakind, Eddy & Zell, 2014), experience in mentoring (Beltman, Herker & Fischer, 2019; Jones & Blankenship, 2020) and psycho-sociological background (Nagy, 2014). In this presentation the latest is given special attention: as primary school pupils’ primary socialization differs from the institutional secondary school socialization sphere; they are thought to undergo bicultural socialization (LaFromboise, Coleman & Gerton, 1993; Nguyen & Benet-Martínez, 2013; Stogianni et al, 2021). Mentors, who are of similar socialization patterns as mentees are expected to be found in the program – even though they are underrepresented at universities (Varga et al., 2021). Thus, inquiring about participating mentors’ SES is essential as it allows us to reveal the benefits of their bicultural selves in the process of mentoring pupils of similar backgrounds. Considering SES as an independent variable, the research aimed to answer the following three research questions. What are mentors’ motivations to join and their expectations about themselves? What do mentors highlight as successes and obstacles in their work? How do mentors evaluate their emotional, social, and professional development? The introduced data collection involved mentors at a Hungarian university (P=180; S=50). The applied questionnaire inquired about mentors’ perceptions and assumptions about mentoring and their success as mentors. Items included in the research have followed the patterns of the process-based model of inclusivity (Varga & Trendl, 2022), respondents have reflected (retrospectively) on their joining to the program (input), their participation (process) and expected outcomes (output). Based on SES data two subsamples have been created: 1) students of similar SES as the pupils (SLowSES=15) and 2) students of higher SES than the other group (SHigherSES=35). Data from the research shows tendencies that are to describe the sample and its subcategories. Socio-economic status influenced mentors’ demands towards their work and the evaluation of their results as mentors. Respondents in both sample groups have set out high expectations towards themselves as mentors that they could not achieve as planned in their mentoring outcomes. Participants of low SES have been more determined than their peers and set even higher mentoring goals. Data show that mentors perceived their participation in the program as beneficial, yet summarized hardships. Results of the research send lessons to learn in mentor training, as they reveal the main advantages and challenges of participation in the program.
Methodology, Methods, Research Instruments or Sources UsedThe research is based on the analysis of macro-statistical data about mentors at the analysed university. Databases have been provided by the program leader at the university. The analysis included the description of students being involved in the preparatory, mentor-training course and those who joined the mentor program later (the analysis also included analysing tendencies in their drop-out of the program). Mentors’ (and mentor trainees’) mentoring duration (if any), university program/majors and demographic data have been included in the description. The presented research is based on an online questionnaire that consisted of open and closed questions. The introduced data collection involved (alumni) students at a Hungarian university. The research aimed to involve and reach out to all participants in the program who have worked as mentors from Autumn 2019 to Spring 2022. Many late mentors have finished their studies and could be reached only via informal channels, thus snowball-method sampling has been carried out (P=180; S=50). Respondents participated in the research without any compensation and agreed to be involved in the data collection. Participation was anonymous and data collection and storing of respondents’ data followed the ethical guidelines and research norms. Data collection took place in September 2022. The applied research tool, a mixed-method questionnaire consisted of 27 closed-, and open-ended items. Data has been analysed via descriptive statistics; qualitative, open-ended items have been coded via content analysis. Based on the respondents’ socioeconomic status (SES) two groups were created: 1) students of similar SES as the pupils (S*LOWSES=15) and 2) students of higher SES (S*HigherSES*=35). Respondents were also categorised based on their university majors and their connection to mentors’ work (S*STRONG CONNECTION*=27; S*WEAK CONNECTION*=12; S*NO CONNECTION*=11). These subsamples have functioned as the basis of analysis as independent variables. As data on students’ distribution in higher education shows, students of Roma minority and/or low SES are underrepresented in Hungarian higher education, the total estimated number of the two student groups and their overlap are thought not to exceed 1.5% (Varga et al, 2021, p. 74), thus the sample overrepresents students of lower SES.
Conclusions, Expected Outcomes or FindingsThe process-based model applied allows the description of the sample on three levels that are in harmony with the research aims. Social and economic status influenced mentors’ demands towards their work and the evaluation of their results as mentors. The research has revealed data about the mentors at the analysed university: their motivations to join social responsibility have been highlighted. Bicultural mentors (SLowSES) have set out higher goals than their peers when joining the program, but they could complete these with higher success than monocultural mentors. This tendency can be explained by that bicultural students wish to return and help their communities. The successes and advantages of being a mentor and its hardships have been also evaluated. Evaluation of the mentoring process was also linked to the chosen independent variable. Bicultural mentors have evaluated their emotional, social, and professional development (outcome of being a mentor) as more beneficial than their monocultural peers. Results of the research send lessons to learn in mentor training, as they reveal the main advantages and challenges of participation in the program. The introduced research has limitations. Firstly, repetition of the research at other Hungarian universities could be beneficial for the getting more detailed data. Secondly, some of the findings could not be explained based on the research tool, thus involving qualitative (interview-format) methods could strengthen triangulation of data.
ReferencesAndl H., Arató, F., Orsós, A., & Varga, A. (2021). Így fejlődünk MI - A Tanítsunk Magyarországért! program hatása az egyetemi hallgatókra. Anyanyelv-pedagógia, 14(1), 47-63. DOI: 10.21030/anyp.2021.1.4
Beltman, S., Helker, K. & Fischer, S. (2019). ’I really enjoy it’: Emotional Engagement of University Peer Mentors. International Journal of Emotional Education, 11(2), 50-70.
Berei, E. B. (2020). The Social Responsibility among Higher Education Students. Education Sciences, 10(3), 66. https://doi.org/10.3390/educsci10030066
Bereményi, Á. (2020). Career guidance inequalities in the context of labour shortage. The case of Roma young people in Hungary. Working Paper Series, 2020(5). Central European University
Bocsi, V., Varga, A., & Fehérvári, A. (2023). Chances of Early School Leaving—With Special Regard to the Impact of Roma Identity. EDUCATION SCIENCES, 13(5). http://doi.org/10.3390/educsci13050483
Fehérvári, A., & Varga, A. (2023). Mentoring as prevention of early school leaving: a qualitative systematic literature review. FRONTIERS IN EDUCATION, 8. http://doi.org/10.3389/feduc.2023.1156725
Godó, K. (2021). Big Brother Mentoring in the Let’s Teach for Hungary Program. CENTRAL EUROPEAN JOURNAL OF EDUCATIONAL RESEARCH, 3(3), 114–141. http://doi.org/10.37441/cejer/2021/3/3/10158
Horváth, G. (2022) "Mentoring Students of Disadvantaged Background in Hungary — “Let’s Teach for Hungary!” as an Equitable Intervention in the Public School System," Journal of Global Awareness, 3(1), Article 6. DOI: https://doi.org/10.24073/jga/3/01/06
Jones, I., & Blankenship, D. (2020). Mentoring as seen through the lens of doctoral students. Research in Higher Education Journal, 38. (Letöltve, 2022. 06. 28.) https://www.aabri.com/manuscripts/193107.pdf
LaFromboise, T., Coleman, H. L. K., & Gerton, J. (1993). ‘Psychological impact of biculturalism: evidence and theory’ Psychology Bulletin, 114(3), 395-412.
Nagy T. (2014). A mentor szerepe a tehetséggondozásban. In. Gefferth É. (szerk.) (2014). Mentorálás a tehetséggondozásban, (pp. 41-51). Magyar Tehetségsegítő Szervezetek Szövetsége.
Nguyen, A. M. D., & Benet-Martínez, V. (2013). ‘Biculturalism and adjustment: Ametaanalysis’ Journal of Cross-Cultural Psychology, 44(1), 122-159.
Stogianni, M., Bender, M., Sleegers, W. W. A., Benet-Martinez, V., & Nguyen, A. (2021). Sample Characteristics and Country Level Indicators Influencing the Relationship Between Biculturalism and Adjustment: An Updated Meta-Analysis.
Varga, A. (2017). Inkluzivitás napjainkban: hátrányos helyzetű, roma/cigány fiatalok életútja. Educatio, 26 (3), 418–430. DOI: 10.1556/2063.26.2017.3.8
Varga, A., Vitéz, K., Orsós, I., Fodor, B., & Horváth, G. (2021). Diversity and Inclusion in Higher Education. TRAINING AND PRACTICE, 19 (1-2). 70-81. https://doi.org/10.17165/TP.2021.1-2.7
Varga, A., & Trendl, F. (2022). Roma Youth and Roma Student Societies in the Hungarian Higher Education in the Light of Process-based Model of Inclusion. Autonomy and Responsibility Journal of Educational Sciences, 7(1), 19–36. https://doi.org/10.15170/AR.2022.7.1.2.
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