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The wide adoption and usage of generative artificial intelligence (AI) models, particularly ChatGPT, has sparked a surge in research exploring their potential applications in the educational landscape.
Language models are few-shot learners
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Automatic graders for programming classes
Hollingsworth, J. (1960) · 1960
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Plato: An automatic teaching device
Bitzer, D., Braunfeld, P., & Lichtenberger, W. (1961) · 1961
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Ticcit: A delivery system designed for mass utilization.,
Stetten, K. J. (1971) · 1971
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Mastery learning
Block, J. H., & Burns, R. B. (1976) · 1976
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Preferred reporting items for systematic reviews and meta-analyses: the prisma statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group*, P. (2009) · 2009
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Preferred reporting items for systematic reviews and meta-analyses (prisma) statement and publication bias
Knobloch, K., Yoon, U., & Vogt, P. M. (2011) · 2010
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The gpu computing era
Nickolls, J., & Dally, W. J. (2010) · 2010
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Artificial intelligence a modern approach
Russell, S. J., & Norvig, P. (2010) · 2010
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An overview of learning analytics
Clow, D. (2013) · 2013
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Distributed representations of words and phrases and their compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013) · 2013
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Data mining with big data
Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2013) · 2013
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Sequence to sequence learning with neural networks
Sutskever, I., Vinyals, O., & Le, Q. V. (2014) · 2014
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Deep learning
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · 2015
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Deep reinforcement learning from human preferences
Christiano, P. F., Leike, J., Brown, T., Martic, M., Legg, S., & Amodei, D. (2017) · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017) · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · 2018
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Explainable artificial intelligence: A survey
Došilović, F. K., Brčić, M., & Hlupić, N. (2018) · 2018
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Improving language understanding by generative pre-training,
Radford, A., Narasimhan, K., Salimans, T., Sutskever, I. et al. (2018) · 2018
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Artificial intelligence in education: A review
Chen, L., Chen, P., & Lin, Z. (2020) · 2020
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On the dangers of stochastic parrots: Can language models be too big?
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021) · 2021
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On the opportunities and risks of foundation models
Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E. et al. (2021) · 2021
Cited alongside, same era.
Artificial intelligence act
Madiega, T. (2021) · 2021
Cited alongside, same era.
Text and code embeddings by contrastive pre-training
Neelakantan, A., Xu, T., Puri, R., Radford, A., Han, J. M., Tworek, J., Yuan, Q., Tezak, N., Kim, J. W., Hallacy, C. et al. (2022) · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q. V., Zhou, D. et al. (2022) · 2022
Cited alongside, same era.
Revolutionizing education with ai: Exploring the transformative potential of chatgpt
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023) · 2023
Cited alongside, same era.
Decision-guided chatbots and cognitive styles in interdisciplinary learning
Iku-Silan, A., Hwang, G.-J., & Chen, C.-H. (2023) · 2023
Closest in time.
Large language models in education: A focus on the complementary relationship between human teachers and chatgpt
Jeon, J., & Lee, S. (2023) · 2023
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Chatgpt for good? on opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., & Kasneci, G. (2023) · 2023
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The potential of generative artificial intelligence across disciplines: Perspectives and future directions
Keng-Boon Ooi, M. A.-E. M. A. A.-S. A. C. A. C. Y. K. D. T.-L. H. A. K. K. V.-H. L. X.-M. L. A. M. P. M. E. M. N. P. R. R. N. P. R. P. S. A. S. C.-I. T. S. F. W., Garry Wei-Han Tan, & Wong, L.-W. (2023) · 2023
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Mapping out a research agenda for generative artificial intelligence in tertiary education
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A comprehensive ai policy education framework for university teaching and learning
Chan, C. K. Y. (2023) · 2023
Cited alongside, same era.
Time to revisit existing student’s performance evaluation approach in higher education sector in a new era of chatgpt — a case study
Chaudhry, I. S., Sarwary, S. A. M., Refae, G. A. E., & Chabchoub, H. (2023) · 2023
Cited alongside, same era.
Chatgpt goes to law school
Choi, J. H., Hickman, K. E., Monahan, A., & Schwarcz, D. (2023) · 2023
Cited alongside, same era.
Investigating the impact of user trust on the adoption and use of chatgpt: Survey analysis
Choudhury, A., & Shamszare, H. (2023) · 2023
Cited alongside, same era.
Examining science education in chatgpt: An exploratory study of generative artificial intelligence
Cooper, G. (2023) · 2023
Cited alongside, same era.
Chatting and cheating: Ensuring academic integrity in the era of chatgpt
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023) · 2023
Cited alongside, same era.
Opinion paper: “so what if chatgpt wrote it?” multidisciplinary perspectives on opportunities, challenges and implications of generative conversational ai for research, practice and policy
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., Carter, L., Chowdhury, S., Crick, T., Cunningham, S. W., Davies, G. H., Davison, R. M., Dé, R., Dennehy, D., Duan, Y., Dubey, R., Dwivedi, R., Edwards, J. S., Flavián, C., Gauld, R., Grover, V., Hu, M.-C., Janssen, M., Jones, P., Junglas, I., Khorana, S., Kraus, S., Larsen, K. R., Latreille, P., Laumer, S., Malik, F. T., Mardani, A., Mariani, M., Mithas, S., Mogaji, E., Nord, J. H., O’Connor, S., Okumus, F., Pagani, M., Pandey, N., Papagiannidis, S., Pappas, I. O., Pathak, N., Pries-Heje, J., Raman, R., Rana, N. P., Rehm, S.-V., Ribeiro-Navarrete, S., Richter, A., Rowe, F., Sarker, S., Stahl, B. C., Tiwari, M. K., van der Aalst, W., Venkatesh, V., Viglia, G., Wade, M., Walton, P., Wirtz, J., & Wright, R. (2023) · 2023
Cited alongside, same era.
Lodge, J. M., Thompson, K., & Corrin, L. (2023) · 2023
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Using chatgpt to conduct literature searches: A case study
McGee, R. W. (2023) · 2023
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Exploring the potential of an ai-based chatbot (chatgpt) in enhancing english as a foreign language (efl) teaching: perceptions of efl faculty members
Mohamed, A. M. (2023) · 2023
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Psychometric properties and assessment of knowledge, attitude, and practice towards chatgpt in pharmacy practice and education: a study protocol
Mohammed, M., Kumar, N., Zawiah, M., Al-Ashwal, F. Y., Bala, A. A., Lawal, B. K., Wada, A. S., Halboup, A., Muhammad, S., Ahmad, R. et al. (2023) · 2023
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Risk management in the artificial intelligence act
Schuett, J. (2023) · 2023
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Exploring students’ perceptions of chatgpt: Thematic analysis and follow-up survey
Shoufan, A. (2023) · 2023
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Old dog, new tricks? exploring the potential functionalities of chatgpt in supporting educational methods in social psychiatry
Smith, A., Hachen, S., Schleifer, R., Bhugra, D., Buadze, A., & Liebrenz, M. (2023) · 2023
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Learning with chatgpt 3.5 as a more knowledgeable other: an autoethnographic study
Stojanov, A. (2023) · 2023
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To use or not to use chatgpt in higher education? a study of students’ acceptance and use of technology
Strzelecki, A. (2023) · 2023
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Unlocking the power of chatgpt: A framework for applying generative ai in education
Su, J., & Yang, W. (2023) · 2023
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The janus effect of generative ai: Charting the path for responsible conduct of scholarly activities in information systems
Susarla, A., Gopal, R., Thatcher, J. B., & Sarker, S. (2023) · 2023
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What if the devil is my guardian angel: Chatgpt as a case study of using chatbots in education
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023) · 2023
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Exploring the use of large language models (llms) in chemical engineering education: Building core course problem models with chat-gpt
Tsai, M.-L., Ong, C. W., & Chen, C.-L. (2023) · 2023
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Chatgpt: A revolutionary tool for teaching and learning mathematics
Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023) · 2023
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Do ai chatbots improve students learning outcomes? evidence from a meta-analysis
Wu, R., & Yu, Z. (2023) · 2023
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Impact of chatgpt on learners in a l2 writing practicum: An exploratory investigation
Yan, D. (2023) · 2023
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