Inspiring and/or scary?

Emotional tensions in student responses to formative feedback from chatbots at a master’s level course in counseling

Forfattere

  • Helle Merete Nordentoft 2942667
  • Tine Wirenfeldt Jensen DPU, Aarhus Universitet

DOI:

https://doi.org/10.7146/lom.v18i31.149114

Nøgleord:

GAI, formativ feedback, læring, vejlederudannelse, højere uddannelse

Resumé

Dette studie bidrager til aktuel forskning om generativ kunstig intelligens (GAI) og feedback på videregående uddannelser ved at undersøge, hvordan kandidatstuderende på et undervisningsforløb om vejledning forholder sig til chatbots som en 'relevant other' (Carless & Young, 2024) i formative feedbackprocesser. Med afsæt i Bakhtins (1981) dialogforståelse og et longitudinalt mixed-method studie viser vi tre forskellige måder, studerende reagerer på chatbot-stemmer: en positiv, en skeptisk og en 'ramt' respons. Vores analytiske fund viser de studerendes emotionelle ambivalens samt spændinger mellem tillid/mistro og accept/afvisning af chatbot-stemmer. Disse spændinger afføder forskellige forståelser af, hvad det betyder at være kritisk i en akademisk kontekst, samt en ambivalens mellem at forvente ”de rigtige svar” fra chatbots og at engagere sig i en dialogisk læringsproces. Vi argumenterer for, at anerkendelsen af disse emotionelle spændinger er afgørende for at realisere GAIs læringspotentiale (Maurya & DeDiego, 2023) i både akademisk arbejde og fremtidig vejledningspraksis.

 

 

Downloads

Download-data er endnu ikke tilgængelig.

Referencer

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative research in sport, exercise and health, 11(4), 589-597. https://doi.org/10.1080/2159676X.2019.1628806

Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 18(3), 328-352. https://doi.org/10.1080/14780887.2020.1769238

Bruun, M. H., Krause-Jensen, J., & Hasse, C. (2024). Store sprogmodeller og AI-chatbots på videregående uddannelser. Pædagogisk Indblik, 26. https://unipress.dk/media/21032/26_store_sprogmodeller_og_ai-chatbots_paa_videregaaende_uddannelser_-11-12-2024.pdf

Carless, D., & Young, S. (2024). Feedback seeking and student reflective feedback literacy: a sociocultural discourse analysis. Higher Education, 88, 857–873. https://doi.org/https://doi.org/10.1007/s10734-023-01146-1

Charmaz, K. (2014). Constructing grounded theory. Sage.

Clark, D. (2024). Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development. Kogan Page Publishers

Cunliffe, A. L. (2004). On becoming a critically reflexive practitioner. Journal of Management Education, 28(4), 407-426. https://doi.org/https://doi-org.ez.statsbiblioteket.dk/10.1177/1052562904264

de Kleijn, R. A. M. (2023). Supporting student and teacher feedback literacy: an instructional model for student feedback processes. Assessment & Evaluation in Higher Education, 48(2), 186-200.

Escalante, J., Pack, A., & Barrett, A. (2023). AI-generated feedback on writing: insights into efficacy and ENL student preference. International Journal of Educational Technology in Higher Education, 20(1), 57. https://doi.org/10.1186/s41239-023-00425-2

Frank, A. (2005). What is dialogical research and why should we do it? Qualitative Health Re-search, 15(7), 964–974. https://journals-sagepub-com.ez.statsbiblioteket.dk/doi/epdf/10.1177/1049732305279078

Jensen, A. S., Bach, K. M., Nordentoft, H. M., Møller, K. L., & Mariager-Anderson, K. (2024). Hvorfor deltager de ikke? Diskursive positioner i førsteårsstuderendes møde med peer-feedback (Why don't they participate? Discursive Positions in first-year Students' en-counter with Peer Feedback). Dansk Universitetspædagogisk Tidsskrift, 19(36). https://doi.org/10.7146/dut.v19i36.140456

Jensen, T. W. (2024). Når kunstig intelligens bliver en del af vejledningsrummet (When Artifi-cial Intelligence becomes part of the Supervision Context. Dansk Universitetspædagog-isk Tidsskrift, 19(36). https://doi.org/10.7146/dut.v19i36.140339

Jensen, T. W., & Nordentoft, H. M. (2022). Academic Writing Development of Master’s Thesis Pair Writers: Negotiating Writing Identities and Strategies. Journal of Academic Writing, 12(1), 50-67. https://doi.org/10.18552/joaw.v12i1.840

Lai, C. Y., Cheung, K. Y., & Chee Seng, C. (2023). Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model. Computers and education. Artificial intelligence, 5, 100178. https://doi.org/10.1016/j.caeai.2023.100178

Macbeth, D. (2001). On “reflexivity” in qualitative research: Two readings, and a third. Quali-tative Inquiry, 7(1), 35-68.

Maurya, R. K. (2023). Using AI Based Chatbot ChatGPT for Practicing Counseling Skills Through Role-Play. Journal of Creativity in Mental Health, 1-16. https://doi.org/10.1080/15401383.2023.2297857

Maurya, R. K. (2024). A qualitative content analysis of ChatGPT's client simulation role‐play for practising counselling skills. Counselling and psychotherapy research, 24(2), 614-630. https://doi.org/10.1002/capr.12699

Maurya, R. K., & DeDiego, A. C. (2023). Artificial intelligence integration in counsellor educa-tion and supervision: A roadmap for future directions and research inquiries. Counselling and psychotherapy research. https://doi.org/10.1002/capr.12727

McGrath, C., Farazouli, A. & Cerratto-Pargman, T. (2024) Generative AI chatbots in higher education: a review of an emerging research area. Higher Education 89, 1533–1549 (2025). https://doi.org/10.1007/s10734-024-01288-w

McLeod, J. (2013). Theory in counselling: using conceptual tools to facilitate understanding and guide action. In J. McLeod (Ed.), An Introduction to Counselling (pp. 57-80). Open University Press.

Molloy, E., Boud, D., & Henderson, M. (2020). Developing a learning-centred framework for feedback literacy. Assessment & Evaluation in Higher Education, 45(4), 527-540. https://doi.org/10.1080/02602938.2019.1667955

Morgan, D. L., & Nica, A. (2020). Iterative Thematic Inquiry: A New Method for Analyzing Qualitative Data. International Journal of Qualitative Methods, 19, 160940692095511. https://doi.org/10.1177/1609406920955118

Nordentoft, H. M., Hvass, H., Mariager-Anderson, K., Bengtsen, S. S., Smedegaard, A., & Warrer, S. D. (2019). Kollektiv Akademisk Vejledning. Fra forskning til praksis (Collective Academic Supervision - From Research to Practice). Aarhus Universitetsforlag.

Nordentoft, H. M., Jensen, T. W., & Bengtsen, S. S. (2020). ”Vi er rigtig meget ens”: Peer-dynamik i samarbejdet mellem specialeskrivende par (”We Are Very Much Alike”: Peer Dynamics in the Collaboration Between Thesis-Writing Pairs). Dansk Universitetspæda-gogisk Tidsskrift, 16(28).

Nordentoft, H. M., & Møller, K. L. (2020). ”Vi ved godt, at det bare er på ’note-plan´” - Studerendes digitale læringsstrategier i peer feedback via Screencast. (“We Know It’s Just at the ‘Note Stage’”: Students’ Digital Learning Strategies in Peer Feedback via Screencast) Tidsskriftet Læring og Medier (LOM), 13(23). https://doi.org/10.7146/lom.v13i23.122012

Nordentoft, H. M., & Møller, K. L. (2022). Emotionelt arbejde og læring i asynkron peer-feedback. (Emotion Work and Learning in Asynchronous Peer Feedback) Dansk Universitetspædagogisk Tidsskrift, 17(33), 97-115. https://doi.org/10.7146/dut.v17i33.129425

Nordentoft, H. M., Thomsen, R., & Wichmann-Hansen, G. (2013). Collective academic su-pervision: a model for participation and learning in higher education. Higher Education, 65(5), 581-593.

O’Donovan, B. (2017). How student beliefs about knowledge and knowing influence their satisfaction with assessment and feedback. Higher Education, 74(4), 617-633. https://doi.org/10.1007/s10734-016-0068-y

Phillips, L. J. (2011). The Promise of Dialogue. The dialogic turn in the production and com-munication of knowledge. John Benjamins Publishing Company.

Stöhr, C., Ou, A. W., & Malmström, H. (2024). Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study. Com-puters and Education: Artificial Intelligence, 7, 100259.

White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J., & Schmidt, D. C. (2023). A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. arXiv.org. https://doi.org/10.48550/arxiv.2302.11382

Downloads

Publiceret

05-09-2025

Citation/Eksport

Nordentoft, H. M., & Jensen, T. W. (2025). Inspiring and/or scary? Emotional tensions in student responses to formative feedback from chatbots at a master’s level course in counseling. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v18i31.149114

Nummer

Sektion

LOM 31: Generativ AI på de nordiske, videregående uddannelser: cases og pædagogiske implikationer