Staff development for generative artificial intelligence and collaborative learning using Iterationism as a theoretical framework
DOI:
https://doi.org/10.47408/jldhe.vi33.1261Keywords:
staff development, third spaces, artificial intelligence, collaborative learning, learning theory, iterationismAbstract
Generative artificial intelligence has confronted academic developers with the challenge of understanding new technologies and simultaneously providing authentic pedagogical support for academics who are also struggling to adapt. This empirical study responds to these challenges by reviewing a staff development workshop for generative AI and collaborative learning delivered to academics from various disciplines at the University of Derby, UK. This is an example of online academic lecturers working in ‘third space’ roles, providing professional development support for other academics on campus. A focus group was used immediately after the experiential workshop as a means of gathering empirical data. Findings show lecturers are concerned about AI, but classroom-based staff development workshops can provide useful third spaces for discussion and sharing good practice. Interestingly, AI prompts emerged as a way of making cognitive effort visible, and the article responds to this finding with Iterationism as an emergent theory for learning with generative AI. This reflects a process-oriented view of learning with these technologies. Beyond developing theory for generative AI and learning, we make four contributions to the literature on third spaces. They are (1) that online lecturers occupy and create third spaces across different modes; (2) that collaboration on applications of AI technologies can address relational tensions highlighted in third space research (Daza, Gudmundsdottir and Lund, 2021); (3) that AI can be understood as a third space for the way it feeds into discussions across students, academics, and external organisations; and (4) that we have developed theory from cross-modal third space practice.
References
Ackermann, E. (2001) ‘Piaget’s Constructivism, Papert’s Constructionism: what’s the difference?’, Future of Learning Group Publication, 5(3), p.438.
Ashman, A. and Gillies, R. (2023) Cooperative learning: the social and intellectual outcomes of learning in groups. Abingdon: Taylor & Francis Group.
Baskara, R. (2023) ‘ChatGPT as a virtual learning environment: multidisciplinary simulations’, Third International Conference on Innovations in Social Sciences Education and Engineering (IColSEE-3). Bandung, Indonesia, 8 July. Available at: https://conference.loupiasconference.org/index.php/icoissee3/article/view/344/307 (Accessed: 12 August 2024).
Bhabha, H. (1990) ‘The third space’, in Rutherford, J. (ed) Identity: community, culture, difference. London: Lawrence and Wishart, pp.207-221.
Birenbaum, M. (2023) ‘The chatbots challenge to education: disruption or destruction?’, Education Sciences, 13(7). Available at: https://www.mdpi.com/2227-7102/13/7/711 (Accessed: 22 August 2024).
Bowskill, N. (2024) ‘Iterationism: collaborative learning and artificial intelligence’ [Invited Lecture], MKC Training Services at Royal School of Military Engineering, Chatham, Kent, 8 March.
Bowskill, N., Shaw, P., Hall, D., Harrogate, M., Eziefuna, E. and Marler, B. (2023) ‘Iterationism as a theory for the design of collaborative learning with AI’, SEDA Blog, 12 July. Available at: https://thesedablog.wordpress.com/2023/07/12/iterationism-as-a-theory-for-the-design-of-collaborative-learning-with-ai (Accessed: 12 July 2023).
Braun, V., Clarke, V. and Hayfield, N. (2022) ‘A starting point for your journey, not a map: Nikki Hayfield in conversation with Virginia Braun and Victoria Clarke about thematic analysis’, Qualitative Research in Psychology, 19(2), pp.424-445. Available at: https://doi.org/10.1080/14780887.2019.1670765
Cain, W. (2023) ‘GPTeammate: a design fiction on the use of variants of the GPT language model as cognitive partners for active learning in higher education’, in Langran, E., Christensen, P. and Sanson, J. (eds.) Proceedings of Society for Information Technology & Teacher Education International Conference. New Orleans, LA 13-17 March. Association for the Advancement of Computing in Education (AACE), pp.1293-1298.
Chan, C. (2020) ‘I know how it feels: how online mentors help pre-service teachers negotiate practicum tensions in the third space’, Mentoring and Tutoring, 28(2), pp.189-210. Available at: https://doi.org/10.1080/13611267.2020.1749348
Chen, X., Zou, D., Xie, H., Cheng, G. and Liu, C. (2022) ‘Two decades of artificial intelligence in education’, Educational Technology & Society, 25(1), pp.28-47. Available at: https://doi.org/10.30191/ETS.202201_25(1).0003
Chi, M. and Wylie, R. (2014) ‘The ICAP framework: linking cognitive engagement to active learning outcomes’, Educational Psychologist, 49(4). Available at: https://doi.org/10.1080/00461520.2014.965823
Cotton, D., Cotton, P. and Shipway, J. (2023) ‘Chatting and cheating: ensuring academic integrity in the era of ChatGPT’, Innovations in Education and Teaching International, 61(2), pp.228-239. Available at: https://doi.org/10.1080/14703297.2023.2190148
Cranfield, D., Venter, I. and Daniels, A. (2023) ‘Using ChatGPT to investigate trends in digital storytelling and knowledge sharing in higher education’, 15th International Conference on Education and New Learning Technologies/EDULEARN23, Palma, Spain 3-5 July. Available at: https://doi.org/10.21125/edulearn.2023.1119
Daza, V., Gudmundsdottir, G. and Lund, A. (2021) ‘Partnerships as third spaces for professional practice in initial teacher education: a scoping review’, Teaching and Teacher Education, 102, 103338. Available at: https://doi.org/10.1016/j.tate.2021.103338
Du Boulay, B., Mitrovic, A. and Yacef, K. (2023) Handbook of artificial intelligence in education. Cheltenham: Edward Elgar Publishing.
Dwivedi, Y. et al. (2023) ‘Opinion paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy’, International Journal of Information Management, 71, 102642. Available at: https://doi.org/10.1016/j.ijinfomgt.2023.102642
Errington, E. P. (2011) ‘Mission possible: using near-world scenarios to prepare graduates for the professions’, International Journal of Teaching and Learning in Higher Education, 23(1), pp.84-91. Available at: https://files.eric.ed.gov/fulltext/EJ938581.pdf (Accessed: 22 August 2024).
Fadel, C., Holmes, W. and Bialik, M. (2020) Artificial Intelligence in education: promises and implications for teaching and learning, Boston, MA.: The Center for Curriculum Redesign
Floridi, L. (2017) ‘Digital’s cleaving power and its consequences’, Philosophy & Technology, 30, pp.123-129. Available at: https://doi.org/10.1007/s13347-017-0259-1
Fosnot, C. T. and Perry, R. S. (1996) ‘Constructivism: a psychological theory of learning’, in Fosnot, C.T. (ed.) Constructivism: theory, perspectives and practice. New York: Teachers College Press, pp.8-33.
Ghavifekr, S. (2020) ‘Collaborative learning: a key to enhance students’ social interaction skills’, Malaysian Online Journal of Educational Sciences, 8(4), pp.9-21. Available at: https://files.eric.ed.gov/fulltext/EJ1271748.pdf (Accessed: 22 August 2024).
Gilson, A., Safranek, C., Huang, T., Socrates, V., Chi, L., Taylor, R. and Chartash, D. (2023) ‘How does CHATGPT perform on the United States medical licensing examination? the implications of large language models for medical education and knowledge assessment’, JMIR Medical Education, 9, e45312. Available at: https://doi.org/10.2196/45312
Hernández-Sellés, N. (2021) ‘Tools that facilitate collaborative learning in virtual environments: new opportunities for the development of digital learning ecologies’, Educatio Siglo XXI, 39(29), pp.81-100. Available at: https://doi.org/10.6018/educatio.465741
Jones, C., Connolly, M., Gear, A. and Read, M. (2006) ‘Collaborative learning with group interactive technology: a case study with postgraduate students’, Management Learning, 37(3), pp.377-396. Available at: https://doi.org/10.1177/1350507606067173
Kasepalu, R., Prieto, L.P., Ley, T. and Chejara, P. (2020) ‘Teacher artificial intelligence-supported pedagogical actions in collaborative learning coregulation: a Wizard-of-Oz study’, Frontiers of Education, 7(17), 736194. Available at: https://doi.org/10.3389/feduc.2022.736194
Kasneci, E., Seßler, K., Kuchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnermann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Tilman, M., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T. and Keengwe, J. (2023) Handbook of research on facilitating collaborative learning through digital content and learning technologies, EdArXiv, 30 January. Available at: https://doi.org/10.35542/osf.io/5er8f
Kivunja, C. and Kuyini, A. B. (2017) ‘Understanding and applying research paradigms in educational contexts’, International Journal of Higher Education, 6(5), pp.26-41. Available at: https://doi.org/10.5430/ijhe.v6n5p26
Kolb, D. A. (2014) Experiential learning: experience as the source of learning and development, 2nd edn. Upper Saddle River, NJ: Pearson Education.
Krueger, R. A. and Casey, M. A. (2014) Focus groups: a practical guide for applied research. California: Sage Publications.
Kuleto, V., Ilic, M., Dumangiu, M., Rankovic, M., Martins, O.M., Paun, D. and Mihoreanu, L. (2021) ‘Exploring opportunities and challenges of artificial intelligence and machine learning in higher education’, Sustainability, 13(18), p.10424. Available at: https://doi.org/10.3390/su131810424
Lee, K.-F. and Qiufan, C. (2021) AI 2041: ten visions for our future. London: W. H. Allen.
Li, C and Xing, W. (2021) ‘Natural language generation using deep learning to support MOOC learners’, International Journal of Artificial Intelligence in Education, 31(2), pp.186-214. Available at: https://doi.org/10.1007/s40593-020-00235-x
Major, C. (2020) ‘Collaborative learning: a tried and true active learning method for the college classroom’, New Directions in Teaching and Learning, 164, pp.19-28. Available at: https://doi.org/10.1002/tl.20420
Marron, L. (2023) ‘Exploring the potential of ChatGPT 3.5 in higher education: benefits, limitations and academic integrity’, in Meletiadou, E. (ed) Handbook of research on redesigning teaching, learning, and assessment in the digital era. IGI Global, pp.326-349. Available at: https://doi.org/10.4018/978-1-6684-8292-6.ch017
Martinez-Maldonado, R., van Leeuwen, A. and Swiecki, Z. (2023) ‘Artificial Intelligence techniques for supporting face-to-face and online collaborative learning’, in Du Boulay, B., Mitrovic, A. and Yacef, K. (2023) Handbook of artificial intelligence in education. Cheltenham: Edward Elgar Publishing.
Mena-Guacas, A., Ureueña Rodriguez, J., Santana Trujillo, D., Gómez-Galán, J. and López-Meneses, E. (2023) ‘Collaborative learning and skill development for educational growth of artificial intelligence: a systematic review’, Contemporary Educational Technology, 15(3), ep428. Available at: https://doi.org/10.30935/cedtech/13123
Nasir, J., Kothiyal, A., Bruno, B. and Dillenbourg, P. (2021) ‘Many are the way to learn identifying multi-modal behavioral profiles of collaborative learning in constructivist activities’, International Journal of Computer-Supported Collaborative Learning, 16(4), pp. 485-523. Available at: https://doi.org/10.1007/s11412-021-09358-2
Nilsson, N. J. (2021) Principles of artificial intelligence. Palo Alto, California: Morgan Kaufmann.
Nguyen, T., Cao, L., Nguyen, P., Tran, V. and Nguyen, P. (2023) ‘Capabilities, benefits, and role of ChatGPT in Chemistry teaching and learning in Vietnamese high schools’, EdArXiv. Available at: https://doi.org/10.35542/osf.io/4wt6q
Papert, S. and Harel, I. (1991) ‘Situating constructionism’, Constructionism, 36(2), pp.1-11.
Rienties, B., Simonsen, K. and Herodotou, C. (2020) ‘Defining the boundaries between artificial intelligence in education, computer-support collaborative learning, educational data mining, and learning analytics: a need for coherence’, Frontiers in Education, 5, Article No.128. Available at: https://oro.open.ac.uk/71087/8/PDF_71087.pdf (Accessed: 22 August 2024).
Rudolph, J., Tan, S. and Tan, S. (2023) ‘ChatGPT: bullshit spewer or the end of traditional assessments in higher education?’, Journal of Applied Learning and Teaching, 6(1), pp.1-22. Available at: https://doi.org/10.37074/jalt.2023.6.1.9
Russell, S. J. and Norvig, P. (2021) Artificial intelligence: a modern approach, Upper Saddle River, NJ: Pearson Education.
Smith, C., Holden, M., Yu, E. and Hanlon, P. (2021) ‘So what do you do? Third space professionals navigating a Canadian university context’, Journal of Higher Education Policy and Management, 43(5), pp.505-519. Available at: https://doi.org/10.1080/1360080X.2021.1884513
Spillane, J. P. (2005) ‘Distributed leadership’, The Educational Forum, 69(2), pp.143-150. Available at: https://doi.org/10.1080/00131720508984678
Stroup, W., Ares, N., Hurford, A. and Lesh, R. (2007) ‘Generativity by design: the what, why and how of generativity in next-generation classroom networks’, in Lesh, R., Hamilton, E. and Kaput, J. (eds.) Foundations for the future in Mathematics education. New York: Routledge, pp.367-393.
Vasconcelos, M. and Santos, R. (2023) ‘Enhancing STEM Learning with ChatGPT and Bing Chat as objects to think with: a case study’, SSRN, 1 May. Available at: https://doi.org/10.2139/ssrn.4434060
Whitchurch, C. (2008) ‘Shifting identities and blurring boundaries: the emergence of third space professionals in UK higher education’, Higher Education Quarterly, 62, pp.377-396. Available at: https://doi.org/10.1111/j.1468-2273.2008.00387.x
Whitchurch, C. (2013) Reconstructing identities in higher education: the rise of third space professionals, 1st edn. Oxon: Routledge.
Whitchurch, C. (2024) ‘From “service” to “partnership”: harnessing social capital in support of activity in third space environments’, Journal of Higher Education Policy and Management, 46(3), pp.243-256. Available at: https://doi.org/10.1080/1360080X.2024.2344132
White, S., White, S. and Borthwick, K. (2021) ‘Blended professionals, technology and online learning: Identifying a socio-technical third space in higher education’, Higher Education Quarterly, 75(1), pp.161-174. Available at: https://doi.org/10.1111/hequ.12252
Zhu, C., Sun, M., Luo, J., Li, T. and Wang, M. (2023) ‘How to harness the potential of ChatGPT in education?’, Knowledge Management and E-Learning, 15(2), pp.133-152. Available at: https://doi.org/10.34105/j.kmel.2023.15.008
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