Artificial Intelligence: Tool or Teammate?

Situated Learning

Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 33,219 · see citing works

Communities of Practice: Learning, Meaning, and Identity

Wenger, E. (1998) · doi:10.1017/cbo9780511803932 · Cited by 23,500 · see citing works

Those Who Understand: Knowledge Growth in Teaching

SHULMAN, L. S. (1986) · Educational Researcher · doi:10.3102/0013189x015002004 · Cited by 18,546 · see citing works

Frames of Mind: The Theory of Multiple Intelligences

Klitgaard, R. E., & Gardner, H. (1984) · Journal of Policy Analysis and Management · doi:10.2307/3324560 · Cited by 13,639 · see citing works

Survey of Hallucination in Natural Language Generation

Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023) · ACM Computing Surveys · doi:10.1145/3571730 · Cited by 5,025 · see citing works

Communities of Practice and Social Learning Systems

Wenger, E. (2000) · Organization · doi:10.1177/135050840072002 · Cited by 4,274 · see citing works

Training language models to follow instructions with human feedback

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C. L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. (2022) · arXiv · doi:10.48550/arxiv.2203.02155 · Cited by 4,208 · see citing works

How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education · doi:10.2196/45312 · Cited by 2,078 · see citing works

Artificial hallucinations in ChatGPT: implications in scientific writing

Alkaissi, H., & McFarlane, S. I. (2023) · Cureus · doi:10.7759/cureus.35179 · Cited by 1,540 · see citing works

Revisiting the Conceptualisation of Pedagogical Content Knowledge (PCK): PCK as a Conceptual Tool to Understand Teachers as Professionals

Park, S., & Oliver, J. S. (2008) · Research in Science Education · doi:10.1007/s11165-007-9049-6 · Cited by 1,265 · see citing works

Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot

Chiu, T. K. F., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2172044 · Cited by 707 · see citing works

Communities of Practice as a Social Theory of Learning: a Conversation with Etienne Wenger

Farnsworth, V., Kleanthous, I., & Wenger-Trayner, E. (2016) · British Journal of Educational Studies · doi:10.1080/00071005.2015.1133799 · Cited by 456 · see citing works

GPT-4 passes the bar exam

Katz, D. M., Bommarito, M. J., Gao, S., & Arredondo, P. (2024) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2023.0254 · Cited by 420 · see citing works

Implementation of an AI chatbot as an English conversation partner in EFL speaking classes

Yang, H., Kim, H., Lee, J. H., & Shin, D. (2022) · ReCALL · doi:10.1017/s0958344022000039 · Cited by 334 · see citing works

What matters in AI-supported learning: A study of human-AI interactions in language learning using cluster analysis and epistemic network analysis

Wang, X., Liu, Q., Pang, H., Tan, S. C., Lei, J., Wallace, M. P., & Li, L. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104703 · Cited by 303 · see citing works

Leveraging ChatGPT for Enhancing Critical Thinking Skills

Guo, Y., & Lee, D. (2023) · Journal of Chemical Education · doi:10.1021/acs.jchemed.3c00505 · Cited by 250 · see citing works

An analysis of children’ interaction with an AI chatbot and its impact on their interest in reading

Liu, C.-C., Liao, M.-G., Chang, C.-H., & Lin, H.-M. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104576 · Cited by 240 · see citing works

Learners’ perceived AI presences in AI-supported language learning: a study of AI as a humanized agent from community of inquiry

Wang, X., Pang, H., Wallace, M. P., Wang, Q., & Chen, W. (2022) · Computer Assisted Language Learning · doi:10.1080/09588221.2022.2056203 · Cited by 214 · see citing works

Artificial intelligence for teaching and learning in schools: The need for pedagogical intelligence

Díaz, B., & Nussbaum, M. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105071 · Cited by 148 · see citing works

The ChatGPT Artificial Intelligence Chatbot: How Well Does It Answer Accounting Assessment Questions?

Wood, D. A., Achhpilia, M. P., Adams, M. T., Aghazadeh, S., Akinyele, K., Akpan, M., Allee, K. D., Allen, A. M., Almer, E. D., Ames, D., et al. (2023) · Issues in Accounting Education · doi:10.2308/issues-2023-013 · Cited by 121 · see citing works

Unpacking the "Black Box" of AI in EducationPreprint

Gillani, N., Eynon, R., Chiabaut, C., & Finkel, K. (2022) · arXiv (Cornell University) · doi:10.30191/ets.202301_26(1).0008 · Cited by 105 · see citing works

Comparing the Performance of College Chemistry Students with ChatGPT for Calculations Involving Acids and Bases

Clark, T. M., Anderson, E., Dickson‐Karn, N. M., Soltanirad, C., & Tafini, N. (2023) · Journal of Chemical Education · doi:10.1021/acs.jchemed.3c00500 · Cited by 62 · see citing works

Imaginaries and problematisations: A heuristic lens in the age of artificial intelligence in education

Rahm, L., & Skågeby, J. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13319 · Cited by 57 · see citing works

ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development

Barany, A., Nasiar, N., Porter, C., Zambrano, A. F., Andres, J. M. A. L., Bright, D., Shah, M., Liu, X., Gao, S., Zhang, J., et al. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-64299-9_10 · Cited by 51 · see citing works

Integrating Chatbot and Augmented Reality Technology into Biology Learning during COVID-19

Chuang, C.-H., Lo, J.-H., & Wu, Y.-K. (2023) · Electronics · doi:10.3390/electronics12010222 · Cited by 43 · see citing works

Fun and frustrating: Students’ perspectives on practising speaking English with virtual humans

Ericsson, E., Hashemi, S. S., & Lundin, J. (2023) · Cogent Education · doi:10.1080/2331186x.2023.2170088 · Cited by 42 · see citing works

Development of an Educational Chatbot System for Enhancing Students’ Biology Learning Performance

Lin, Y.-T. L. Y.-T., & Lin, J.-H. Y. Y.-T. (2023) · 網際網路技術學刊 · doi:10.53106/160792642023032402006 · Cited by 41 · see citing works

A Risk Framework for Human-centered Artificial Intelligence in Education: Based on Literature Review and Delphi–AHP Method

Li, S., & Gu, X. (2023) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.30191/ets.202301_26(1).0014 · Cited by 28 · see citing works

Artificial intelligence and the Journal of Research in Science Teaching

Sadler, T. D., Mensah, F. M., & Tam, J. (2024) · Journal of Research in Science Teaching · doi:10.1002/tea.21933 · Cited by 25 · see citing works

Using a teacher scheme for educational dialogue analysis to investigate student–student interaction patterns for optimal group activities in an artificial intelligence course

Hu, X., He, W., Chiu, T. K. F., & Zhao, L. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11556-w · Cited by 24 · see citing works

Piaget rediscovered

Duckworth, E. (1964) · The Arithmetic Teacher · doi:10.5951/at.11.7.0496 · Cited by 16 · see citing works

Effect of embedding a cognitive diagnosis into the adaptive dynamic assessment of spatial geometry learning

Wu, L.-J., & Chang, K.-E. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1815216 · Cited by 13 · see citing works

Combination of Augmented Reality with Chatbots for Visual Aids in Nutrition Education

Wu, W.-C., & Yu, Y.-H. (2022) · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · doi:10.1109/icce-taiwan55306.2022.9869292 · Cited by 10 · see citing works

Design and impact of a stoichiometry voluntary online course for entering first-year STEM college students

Díaz, B., & Aizman, A. J. (2023) · Chemistry Education Research and Practice · doi:10.1039/d3rp00179b · Cited by 8 · see citing works

Design of Learning Application using Trivia Method based on Google Assistant for Vision Impairment Disability

Andinia, A., & Isnainiyah, I. N. (2020) · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) · doi:10.1109/icimcis51567.2020.9354326 · Cited by 4 · see citing works

Automated analysis of postings in fourth grade online discussions to help teachers keep students on-track

Žitnik, S., & Smith, G. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2204327 · Cited by 4 · see citing works

Visualising Chemistry Experiments Using NLP and Computer Graphics

Suresh, M., Nikhilesh, V. A. N., Rao, N. R. S., et al. (2023) · doi:10.1109/inocon57975.2023.10101068 · Cited by 1 · see citing works

GPT-4 Technical Report

OpenAI, Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., et al. (2023) · arXiv · doi:10.48550/arxiv.2303.08774

A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking

Balart, T., Díaz, B., & Shryock, K. (2026) · Algorithms · doi:10.3390/a19030179 · Cited by 15 · see citing works

Reliance on Artificial Intelligence, Machine Learning and Deep Learning in the Era of Industry 4.0

Rao, T. V. N., Gaddam, A., Kurni, M., & Saritha, K. (2021) · Wiley eBooks · doi:10.1002/9781119792253.ch12 · Cited by 71 · see citing works

An Object Detection and Pose Estimation Approach for Position Based Visual Servoing

Shi, L. (2017) · Electrical Control and Communication Engineering · doi:10.1515/ecce-2017-0005 · Cited by 6 · see citing works

Robotics architectures based machine learning and deep learning approaches

Alatabani, L. E., Ali, E. S., Mokhtar, R. A., Khalifa, O. O., & Saeed, R. (2022) · IET conference proceedings. · doi:10.1049/icp.2022.2274 · Cited by 21 · see citing works

Automated system for classification of COVID-19 infection from lung CT images based on machine learning and deep learning techniques

Guhan, B., Almutairi, L., Sowmiya, S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-20804-5 · Cited by 11 · see citing works

Significance of Machine Learning and Deep Learning in Development of Artificial Intelligence

Akila, D., Jeyalaksshmi, S., Padmapriya, D., et al. (2022) · CRC Press eBooks · doi:10.1201/9780367816414-2 · Cited by 4 · see citing works