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30 SES 05 D: ESE in Higher Education Through Students' Reflections
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30. Environmental and Sustainability Education Research (ESER)
Paper Education for sustainability: University students' thoughts on their contribution to the Sustainable Development Goals Universidad de Alicante, Spain Presenting Author:The 2030 Agenda positions higher education as a strategic actor in addressing the major social, economic and environmental challenges of the 21st century (Shava et al., 2023). Within this framework, universities assume the responsibility of educating critical, committed and socially responsible citizens. In response to this challenge, Education for Sustainable Development (ESD) has taken on a growing role in scientific literature, emphasising the development of skills, values and forms of agency geared towards transformative action (Žalėnienė & Pereira, 2021). Various studies indicate that, although university students tend to express positive attitudes towards sustainability, there remains a significant gap between the knowledge they have acquired and their perception of their own ability to contribute effectively to social change (Wang et al., 2022). In this context, students' perceptions play a central role in understanding their level of engagement with the Sustainable Development Goals (SDGs) (Abowardah et al., 2024). Educational and social psychology recognises that beliefs and perceptions directly influence motivation, self-efficacy and willingness to take action (Bandura, 2001; Wiyanarti & Nurjannah, 2025). Therefore, it is not enough to analyse students' level of knowledge about the SDGs; we must also understand how they interpret their personal responsibility in achieving them. Student perceptions also act as a mediating element between the training received, the construction of personal and professional identity, and the willingness to participate in sustainability actions in various social and institutional contexts (Rashed et al., 2025). This issue is particularly relevant in the Spanish context, where the implementation of the 2030 Agenda in higher education shows uneven and heterogeneous progress between institutions and degree programmes. In this scenario, analysing the voice of students allows us to identify not only levels of awareness, but also tensions, limitations and opportunities to strengthen ESD in universities (Abowardah et al., 2024). The notion of agency is key to understanding the role of students in sustainable development. From a theoretical perspective, agency is defined as the perceived ability of individuals to influence their environment through conscious actions, both individually and collectively (Yang et al., 2025). In the university context, this agency can manifest itself through everyday practices, participation in institutional initiatives, involvement in community projects, or various forms of social activism linked to the SDGs. Previous studies have highlighted that students may perceive the SDGs as abstract goals that are far removed from their everyday reality (Araneo, 2023; Cachero et al., 2023). This fact fosters feelings of powerlessness or the delegation of responsibility to institutional or political actors (Shephard et al., 2015). Therefore, analysing these perceptions is key to identifying structural, cultural, and educational barriers that limit student involvement and hinder the development of truly transformative agency. Although a considerable amount of research has examined the incorporation of the SDGs into university curricula (Leal et al., 2024), little attention has been paid to the experience and perceptions of students themselves, particularly with regard to how they perceive their capacity and responsibility to contribute to the achievement of the SDGs. Based on this framework, the following research question was formulated: How do university students perceive their ability and responsibility to contribute to the achievement of the Sustainable Development Goals? In line with this question, the overall objective of this study was to analyse in depth the perceptions of Spanish university students regarding their ability and responsibility to contribute, individually, to the achievement of the SDGs. In addition, the following objectives were set: (1) to explore how students understand their personal contribution to the SDGs and what types of actions they consider relevant; and (2) to identify patterns of awareness, agency and perceived barriers to transformative action. Methodology, Methods, Research Instruments or Sources Used A qualitative methodological approach was adopted (Creswell, 2009), based on the analysis of open-ended responses collected through a questionnaire administered to Spanish university students. The sample was selected using the purposive sampling technique and consisted of 884 Spanish university students. In terms of sociodemographic variables, 60.8% were women and 68.6% were between 18 and 25 years old. An ad hoc questionnaire based on the expert literature was used for the data collection process. For the content validity study, the instrument was submitted to expert review. Three professionals specialising in Education for Sustainable Development and three in Educational Research participated in this process. Based on their assessment, the first version was redesigned and piloted with 10 subjects with similar characteristics to the potential participants in each of the countries. After making some grammatical corrections, the final instrument was configured, which was organised into five dimensions: (1) University students’ knowledge of the SDGs, (2) Skills for sustainable development, (3) Type of studies undertaken on the SDGs, (4) Usefulness of the SDGs, and (5) Personal contribution to the achievement of the SDGs. This study analyses the fifth dimension of the instrument, which is qualitative in nature. The final version of the questionnaire was designed in digital format using Google Forms and administered online, ensuring the confidentiality and anonymity of the information collected at all times, in accordance with the principles established in the Declaration of Helsinki. The data was analysed using Atlas.ti v. 24 software. Through an inductive process, emerging categories were identified from the students' discourses, without imposing prior interpretative frameworks (Thomas, 2006). This approach made it possible to capture the complexity, diversity and nuances of student perceptions, paying attention to both explicit meanings and implicit implications.The analytical strategy focused on understanding how students construct their sense of responsibility and agency in relation to the SDGs. Conclusions, Expected Outcomes or Findings The results of the analysis reveal five main thematic patterns. (1) Students tend to perceive their contribution to the SDGs mainly through everyday individual actions, such as responsible consumption, caring for the environment, or adopting behaviours consistent with sustainability values. This view places responsibility on a moral and personal level, highlighting the importance of “small gestures” as a form of participation. (2) Students perceive themselves as agents with the capacity to influence others in the long term through education, awareness-raising and the transmission of values, shaping a notion of indirect agency projected into the future. (3) Numerous responses reveal a high ethical awareness and a strong sense of personal responsibility towards global issues, although without a clear translation into concrete actions. This pattern reflects a gap between values, intention and practice, in which the SDGs function more as a normative framework than as an operational guide. (4) There is a collective dimension to action, associated with social awareness and the mobilisation of other people. However, this dimension is presented in a rather unstructured way, with few references to the role of the university as an institutional space capable of channelling and sustaining student participation. Finally, responses were identified that reveal a vague or incipient awareness, characterised by general and poorly developed formulations about contributing to the SDGs. It is concluded that Spanish university students largely recognise their responsibility towards the SDGs, but tend to conceptualise their capacity for action from an individualised and isolated perspective. This trend coincides with previous research in the field of ESD, which shows the persistence of a gap between awareness and transformative action. The results underscore the importance of rethinking ESD in order to train not only conscious and committed students, but also agents capable of acting critically and collectively. References Abowardah, E. S., Labib, W., Aboelnagah, H., & Nurunnabi, M. (2024). Students’ perception of sustainable development in higher education in Saudi Arabia. Sustainability, 16(4), 1483.https://doi.org/10.3390/su16041483 Araneo, P. (2024). Exploring education for sustainable development (ESD) course content in higher education; a multiple case study including what students say they like. Environmental Education Research, 30(4), 631-660. Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1), 1–26. https://doi.org/10.1146/annurev.psych.52.1.1 Cachero, C., Grao-Gil, O., Pérez-del Hoyo, R., Ordóñez-García, M. C., Andújar-Montoya, M. D., Lillo-Ródenas, M. Á., & Torres, R. (2023). Perception of the Sustainable Development Goals among university students: A multidisciplinary perspective. Journal of Cleaner Production, 429, 139682. https://doi.org/10.1016/j.jclepro.2023.139682 Creswell, J. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Sage. Leal, S., Azeiteiro, U. M., & Aleixo, A. M. (2024). Sustainable development in Portuguese higher education institutions from the faculty perspective. Journal of Cleaner Production, 434, 139863.https://doi.org/10.1016/j.jclepro.2023.139863 Rashed, R. Q.., Abubakar, A. A., Madani, O., & Al-Mamary, Y. H. (2025). Enhancing Student Engagement and Motivation for Sustainable Education: The Role of Internship and Institutional Support. Sustainability, 17(12), 5291. https://doi.org/10.3390/su17125291 Shava, G. N., Mkwelie, N., Ndlovu, M. J., & Zulu, E. (2023). Higher education institutions’ sustainable development towards agenda 2030: A global goals in policy and curriculum. International Journal of Research and Innovation in Social Science, 7(4), 1320-1336. https://doi.org/10.47772/IJRISS.2023.7510 Thomas, D. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27, 237-246. http://dx.doi.org/10.1177/1098214005283748 Wang, Y., Sommier, M., & Vasques, A. (2022). Sustainability education at higher education institutions: pedagogies and students’ competences. International Journal of Sustainability in Higher Education, 23(8), 174-193. Wiyanarti, E., & Nurjannah, A. S. (2025). Influence of self-efficacy on affective learning outcomes in social studies education toward achieving Sustainable Development Goals (SDGs). ASEAN Journal of Educational Research and Technology, 5(1), 1-18. Yang, S. C., Luo, Y. F., Chou, K. Y., & Lin, T. L. (2025). Connecting civic responsibility and individual agency: exploring sustainable development practices among university students in Taiwan. International Journal of Sustainability in Higher Education.Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJSHE-07-2024-0475 Žalėnienė, I., & Pereira, P. (2021). Higher education for sustainability: A global perspective. Geography and Sustainability, 2(2), 99-106. https://doi.org/10.1016/j.geosus.2021.05.001 30. Environmental and Sustainability Education Research (ESER)
Paper Reconfiguring Evaluation Through Student Participation: A Case Study of an Innovative Deliberative Approach for Sustainability-Oriented Curriculum Design in Higher Education Leuphana University Lüneburg, Germany Presenting Author:In times of multiple crises, including the climate catastrophe, a subversion of democracy, and political fragmentation and polarization (Kaftan & Bormann, 2025), the broad and complex agenda of education for sustainable development (ESD) (Stevenson, 2007) offers manifold opportunities to empower people “to contribute to a better future through mindset changes, critical reflection and building new skills” (Reynolds, 2009, p. 109). Higher education institutions (HEIs), hubs of knowledge and innovation with high societal impact, are uniquely positioned to lead change by educating future decision-makers and influencers and addressing pressing sustainability issues (Bomann et al., 2025; Sonetti et al., 2019). A novel pedagogical approach to improving teaching and learning in higher education (HE) is co-creation (Omland et al., 2025), where “staff and students work collaboratively with one another to create components of curricula and/or pedagogical approaches” (Bovill et al., 2016, p. 196). Applied to ESD, learners should thus be empowered to equally shape the content and structures of the curriculum, thereby demonstrating concrete potential for the participatory design of HE curricula (Gallou & Williams, 2023). However, traditional formats of student evaluation of teaching (SET), such as standardized course evaluation surveys, primarily aim to assess teaching quality in HE. The problem with this form of teaching evaluation lies not only in declining response rates but also in unclear motivations for participation and little evidence of impact on teaching practice (Nóvak, 2023; Blair & Noel, 2014). As co-creation formats, they therefore seem inadequate. Against this backdrop, there is little empirical research on deliberative, non-instrumental evaluation formats in HE for ESD. Therefore, innovative approaches to foster student engagement that offer opportunities for participation in co-creation processes of curriculum design towards ESD must be developed and tested for structural implementation. A potentially suitable approach might be a student citizen assembly (SCA) that systematically gathers student perspectives and, through deliberative participation formats, provides effective impulses for further teaching and curriculum development. The idea of SCAs is based on citizen assemblies—an innovative participatory instrument that uses deliberative mini-publics with randomly selected citizens to develop courageous solutions and recommendations for complex, controversial social issues. (Goodin & Dryzek, 2006; Mathis, 2021). Applied to the approach of SCAs, randomly selected students deliberate on ideas and concepts of teaching and negotiate recommendations through discourse to develop concrete recommendations for HE curriculum development. The idea of an SCA is now being tested within an innovative interdisciplinary module that has recently been established at a German mid-sized university. It invites all first-semester students to explore complex societal transformation processes across their disciplines—such as climate justice, digitalization, democracy, or post-growth—and challenges students to develop their capacity for orientation, judgment, and action in the face of societal uncertainty and growing complex sustainability challenges. Although based on a German case, the study addresses challenges that are widely discussed across European HE systems. To examine how SCAs address known challenges of evaluation in HE and foster democratic participation in curriculum design, this study explores the following research question: In what ways can deliberative SCAs contribute to transforming evaluation practices towards more democratic and sustainability-oriented curriculum design in higher education? Sub-questions are:
Further, it will be interesting to assess the possibilities offered by the SCA to address common challenges with SET tools, enabling evaluation and curriculum development of HE that support ESD. Methodology, Methods, Research Instruments or Sources Used The SCA takes place from October 2025 to October 2026. The research presented focuses on the initial phase, and data are collected from October 2025 to February 2026. After a university-wide call for applications in October 2025, 36 students from all faculties and from semesters 1, 3, and 5 of all degree programs were randomly selected to participate in the new evaluation format. The study follows a mixed-methods approach comprising a survey, observations of the SCA meetings, and semi-structured interviews. In December 2025, just before the first SCA meeting, data were collected using a standardized online questionnaire comprising approximately 40 items. It consisted of sociodemographic information (degree program, semester, gender) as well as questions on awareness, use, and individual perceptions of various internal university evaluation formats. Key attitudes and perceptions were mainly measured using 5-point Likert scales. Open-ended questions were also included to qualitatively capture individual motives, expectations, and reasons for (non-)participation. Data preprocessing was carried out using [R] for data cleaning and transformation. The analysis plan includes qualitative content analysis of the comprehensive open-ended text responses using MAXQDA, following Kuckartz et al. (2008), to explore patterns and relationships within the data. An exploratory dimensional analysis of the quantitative survey data identifies the implicit dimensions of attitudes and motivations toward the various evaluation tools. Based on the results, semi-structured interviews with survey participants will be conducted after the second SCA meeting in February 2026, to follow up on the identified dimensions and possible impacts on self-efficacy. Further interviews are planned after the completion of the SCA in October 2026, which cannot be part of the presented study. Conclusions, Expected Outcomes or Findings The study aims to provide empirical insights into how deliberative participation formats change students' understanding of evaluation, agency, and institutional voice in higher education. Beyond individual motivations, the results should contribute to a new conception of evaluation as a participatory and formative practice rather than as a purely quality-assurance tool. In the context of education for sustainable development, SCAs can thus serve as spaces of democratic learning and institutional reflexivity, enabling universities to adaptively align curriculum development with sustainability-oriented transformation processes through student participation. References Blair, E., & Noel, K. V. (2014). Improving higher education practice through student evaluation systems: is the student voice being heard? Assessment & Evaluation in Higher Education, 39(7), p. 879 –894. Boman J, Omrcen E, Weldemariam K, Hanning A, Lodin J (2025), "Building learning pathways to enhance education for sustainable development (ESD), quality and relevance". International Journal of Sustainability in Higher Education, Vol. 26 No. 9 pp. 353–371. Bovill, C. (2020a). Co-creating learning and teaching: Towards relational pedagogy in higher education. Critical Publishing. Denham, D., Rozance, M. A., Malone, M. & Goodling, E. (2021). Sustaining future environmental educators: Building critical interdisciplinary teaching capacity among graduate students. Journal of Environmental Studies and Sciences, 11(1), 101-114. Gallou, E., & Williams, D. (2023). Co-creation of sustainability education: ‘made by students’. Paper presented at the 11th Annual International Conference on Sustainable Development, New York/Online. Goodin, R. E. & Dryzek, J. S. (2006). Deliberative Impacts: The Macro-Political Uptake of Mini Publics. Politics & Society, 34(2), 219–244. Hoel, A., & Dahl, T. I. (2018). Why bother? Student motivation to participate in student evaluations of teaching. Assessment & Evaluation in Higher Education, 44(3), 361–378. Kaftan, L., & Bormann, N. C. (2025). Polarization, fragmentation, and democratic deconsolidation in interwar Europe. Democratization, 1–24. Kuckartz, U., Stefer, C., Rädiker, S. & Dresing, T. (2008). Qualitative evaluation. In VS Verlag für Sozialwissenschaften. Mathis, O. L. (2021, 18. März). Sustainability as a political principle: Citizens’ councils for promoting the global common good. German Development Institute. Nóvak, J. Evaluation of Student Feedback as a Tool for Higher Education Quality Enhancement. (2023). R&E-SOURCE, s1, 117-127. Omland, M., Hontvedt, M., Siddiq, F. et al. Co-creation in higher education: a conceptual systematic review. High Educ 90, 1017–1047 (2025). Reynolds, R. (2009), Teaching studies of society & environment in the primary school, Oxford University Press Australia & New Zealand, South Melbourne. Sonetti, G., Brown, M., & Naboni, E. (2019). About the Triggering of UN SDGs and Regenerative Sustainability in Higher Education. Sustainability, 11(1), 254. Sullivan, D., Lakeman, R., Massey, D., Nasrawi, D., Tower, M., & Lee, M. (2024). Student motivations, perceptions and opinions of participating in student evaluation of teaching surveys: a scoping review. Assessment & Evaluation in Higher Education, 49(2), 178–189. Stevenson, R.B. (2007), “Schooling and environmental/sustainability education: from discourses of policy and practice to discourses of professional learning”, Environmental Education Research, Vol. 13 No. 2, pp. 265–285. 30. Environmental and Sustainability Education Research (ESER)
Paper Navigating Knowledge: AI-Epistemic Competence in Higher Education for Sustainable Development Otto-von-Guericke-University Magdeburg, Germany Presenting Author:Higher Education for Sustainable Development (HESD) is expected to respond to intersecting crises, including climate change, growing geopolitical tensions and social polarisation; and to re‑imagine its role in educating future change agents. At the same time, the rapid expansion of artificial intelligence (AI) is entering research, teaching and learning – reshaping conditions of knowledge production, transfer and validation. These developments fundamentally change the epistemic landscape in which sustainability-related learning and research takes place. This paper argues for greater attention to the productive yet challenging role of epistemic tensions that arise at the boundaries between academic knowledge, transformative learning, and societal practice, and that are further accentuated by AI-enabled knowledge work. It addresses the following research question: How can an AI‑epistemic competence be conceptualised as an extension of sustainability competence frameworks in the context of AI‑mediated HESD? This paper explores these questions by bringing together interpretations of generative AI as a “surrogate knower” (Jose et al., 2025) in learning spaces, debates on knowledge homogenisation and “knowledge monopolies” (Hodel & West, 2025; Messeri & Crockett, 2024) in AI ecosystems, and research on sustainability competencies (Brundiers et al., 2021) within participatory, transformative teaching formats (Cebrián et al., 2021; Hilf, 2025; Rieckmann et al., 2024). Students may increasingly treat AI tools as central, trusted sources of knowledge, thereby shifting epistemic authority from teachers and peers to algorithms and reinforcing an automation bias that privileges certainty and linear problem‑solving (Jose et al., 2025; Yu, 2025). In parallel, ecosystems dominated by a few similarly trained language models risk knowledge narrowing when they are recursively trained on their own outputs, reducing epistemic diversity and privileging dominant perspectives. These developments intersect with broader concerns about emerging AI‑driven knowledge monopolies, in which a small number of corporate actors control critical data and knowledge infrastructures, with implications for innovation, epistemic justice and democratic con-trol (Leon & Lipuma, 2025; Messeri & Crockett, 2024). I revisit a framework of key competencies in sustainability in higher education: Brundiers et al. present an integrated set of systems‑, futures‑, values‑, strategic‑, interpersonal, intrapersonal and implementation competencies, underpinned by basic academic competencies such as critical thinking, communication, research and data management. Yet this framework emerged prior to the rapid mainstreaming of generative AI in HESD. Building on AI literacy frameworks (Ng et al., 2021), this paper proposes an extension of HESD competencies through an additional, cross‑cutting AI‑epistemic competence. It’s defined as the ability to understand generative AI systems as epistemic actors, to interrogate their assumptions, biases and representational gaps, to situate AI‑generated outputs within plural knowledge ecologies, and to use AI in ways that strengthen rather than erode human futures thinking, problem‑solving and creativity. Didactically, the contribution focuses on transformative learning formats, as those are widely recognised as meaningful for students’ competence development (Bremer et al., 2024). Formats like Service‑Learning (SL) connect academic learning with real‑world sustainability challenges in collaboration with community partners and thereby fosters co‑production of knowledge and bilateral knowledge transfer between universities and societal actors (Hilf & Böcher, 2024). SL enhances key sustainability competencies by engaging students in multi‑stakeholder projects, but also faces barriers such as coordination demands, institutional constraints and tensions between academic and practice logics. Generative AI introduces additional tensions: Tools can support students’ research, management and scenario work, potentially enriching co‑productive processes and enabling more inclusive, multilingual and multimodal knowledge practices; on the other hand, there is a risk that core learning processes – such as dealing with complexity, negotiating conflicting values and engaging in context‑sensitive response design – are outsourced to AI systems, thereby undermining the development of precisely those problem‑solving and creativity competencies that HESD seeks to foster. Methodology, Methods, Research Instruments or Sources Used Methodologically, the study combines a theory‑oriented literature analysis with qualitative empirical inquiry. It draws on literature on knowledge co‑production and transdisciplinary collaboration and on analyses of epistemic authority and practical knowledge in academic–societal collaborations to frame transdisciplinary settings as integration forums in which academic, local, professional and AI‑mediated knowledge forms are brought into dialogue. First, a focused literature analysis synthesises strands of work on key sustainability competencies and AI literacy, as well as critical scholarship on generative AI as “surrogate knowers”, and knowledge monopolies. The aim of this step is to identify how existing frameworks conceptualise (a) the relationship between knowledge, agency and transformation in HESD and (b) the role of AI as socio‑technical infrastructure in knowledge co-production. Second, the emergent conceptualisation of AI‑epistemic competence is iteratively refined in light of qualitative empirical data from a multi‑year, multi‑site research project on SL in higher education focused on sustainability transformation. Empirically, the paper focuses on moments when epistemic tensions become explicit and require negotiation, translation and reflexive sense‑making. The data corpus consists of semi‑structured interviews with students, university stakeholders (e.g. teaching staff, programme coordinators) and practice partners, as well as focus group discussions with students at three higher education institutions that have implemented sustainability‑related SL formats. Interviews and focus groups ex-plored participants’ understandings of sustainability, experiences of knowledge use and transfer and reflections on emerging tensions and learning processes. All interviews and focus groups were audio‑recorded, transcribed and analysed using qualitative content analysis supported by software‑assisted coding (Kuckartz & Rädiker, 2024) and reflexive interpretation. The analysis combined deductive categories, derived from the competence and co‑production literature (e.g. types of knowledge, forms of authority, dimensions of AI use), with inductive codes that captured recur-ring patterns of epistemic tension and knowledge transfer in the empirical material. Analytic memos and iterative team discussions were used to relate these patterns back to, and critically interrogate, the emerging conceptualisation of AI‑epistemic competence and its positioning within the Brundiers framework. Rather than aiming for statistical representativeness, the analysis foregrounds theoretically and empirically grounded patterns that illuminate how AI‑mediated knowledge work intersects with sustainability competence development in HESD settings. Conclusions, Expected Outcomes or Findings The findings point to three interrelated forms of epistemic tension that are intensified under conditions of poly‑crisis and digital acceleration. Normative tensions arise from divergent framings of sustainability, ranging from transformative and justice‑oriented perspectives to pragmatic, instrumental or market‑oriented interpretations. Epistemic tensions emerge between practice‑based knowledge and academically grounded standards of validity, reflexivity and scientific rigour, particularly where community expectations and university logics diverge. Temporal tensions become visible where semester‑based teaching formats and work practices collide with long‑term societal problem horizons, limiting opportunities for reflection and responsible knowledge integration. Across these dimensions, AI appears as an ambivalent actor: both a resource for structuring complex sustainability problems and project work, and a risk to academic standards and sustainability competencies when analytical, creative and innovative work is delegated without critical reflection. Crucially, the analysis suggests that such epistemic tensions are not merely obstacles to effective HESD practice, but structurally inherent features of boundary‑crossing education under conditions of poly‑crisis and AI‑led transformation. While unresolved tensions can lead to frustration, superficial knowledge integration or depoliticised sustainability narratives, they can also become sites of learning, ethical positioning and institutional reflexivity. Their productive potential depends on time, institutional support and explicitly designed spaces for epistemic work, including critical engagement with AI‑supported practices in research and teaching. The paper contributes to debates in HESD by framing it not as a field in need of greater epistemic coherence, but as one that must learn to work productively with knowledge plurality, conflict and uncertainty in AI‑mediated contexts. Acknowledging and institutionalising the challenges of knowledge transfer and co‑production – including the role of AI as an epistemic actor – is crucial for maintaining the critical and transformative capacity of ESD. It advances a conceptualisation of AI‑epistemic competence that can inform and guide the design of HESD formats. References Bremer, A.‑K. et al. (2024). Entwicklung von Nachhaltigkeitskompetenzen bei Studierenden im Ser-vice Learning – ein Erhebungsinstrument zur Selbsteinschätzung. ZEP – Zeitschrift für internationale Bildungsforschung und Entwicklungspädagogik, 47(4), 10–14. https://doi.org/10.31244/zep.2024.04.03 Brundiers, K. et al. (2021). Key competencies in sustainability in higher education—toward an agreed-upon reference framework. Sustainability Science, 16(1), 13–29. https://doi.org/10.1007/s11625-020-00838-2 Cebrián, G. et al. (2021). Multiple case-study analysis of service-learning as a means to foster sus-tainability competencies amongst pre-service educators. Teachers and Teaching, 27(6), 488–505. https://doi.org/10.1080/13540602.2021.1977269 Hilf, J. (2025). Service Learning als Methode einer hochschulischen Bildung für nachhaltige Entwick-lung - Eine Untersuchung von Gelingensbedingungen und Wissenstransferprozessen. Universitäts-bibliothek, Magdeburg. Hilf, J. & Böcher, M. (2024). Herausforderungen der Integration zwischen Wissenschaft und Praxis in der nachhaltigkeitsorientierten Hochschullehre begegnen: Das Beispiel Service Learning. ZEP – Zeitschrift für internationale Bildungsforschung und Entwicklungspädagogik, 47(4), 15–19. https://doi.org/10.31244/zep.2024.04.04 Hodel, D. & West, J. D. (2025). Epistemic diversity across language models mitigates knowledge collapse. Center for an Informed Public, Information School, University of Washington. Jose, B. et al. (2025). Epistemic authority and generative AI in learning spaces: rethinking knowledge in the algorithmic age. Frontiers in Education, 10, Artikel 1647687. https://doi.org/10.3389/feduc.2025.1647687 Kuckartz, U. & Rädiker, S. (2024). Qualitative Inhaltsanalyse: Methoden, Praxis, Umsetzung mit Software und künstlicher Intelligenz (6., überarbeitete und erweiterte Auflage). Grundlagentexte Methoden. Beltz Juventa. Leon, C. & Lipuma, J. (2025). Invited Papers of the Plenary Keynote Speakers at WMSCI/IMCIC 2025 and their collocated events. Journal of Systemics, Cybernetics and Informatics, 23(7), 102–115. https://doi.org/10.54808/JSCI.23.07.102 Messeri, L. & Crockett, M. J. (2024). Artificial intelligence and illusions of understanding in scientific research. Nature, 627(8002), 49–58. https://doi.org/10.1038/s41586-024-07146-0 Ng, D. T. K. et al. (2021). AI Literacy: Definition, Teaching, Evaluation and Ethical Issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487 Rieckmann, M. et al. (2024). Bildung für nachhaltige Entwicklung und Service Learning an Hochschu-len – Grundlagen, Konzepte und Potenziale. ZEP – Zeitschrift für internationale Bildungsforschung und Entwicklungspädagogik, 47(4), 4–9. https://doi.org/10.31244/zep.2024.04.02 Yu, W. (2025). A Conceptual Framework for AI Literacy with a Focus on Competency. International Journal of Artificial Intelligence in Education, 35(5), 2975–2992. https://doi.org/10.1007/s40593-025-00488-4 | ||
