Using AI-empowered assessments and personalized recommendations to promote online collaborative learning performance

Using thematic analysis in psychology

Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works

Long Short-Term Memory

Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318 · see citing works

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 48,293 · see citing works

Artificial intelligence: a modern approach

Kumar, D. A., Balasubramanian, S., Byeon, D. H., & Manerkar, P. G. V. (1995) · Choice Reviews Online · doi:10.5860/choice.33-1577 · Cited by 22,182 · see citing works

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

Adomavičius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,347 · see citing works

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · see citing works

The ICAP framework: Linking cognitive engagement to active learning outcomes

Chi, M. T. H., & Wylie, R. (2014) · Educational Psychologist · doi:10.1080/00461520.2014.965823 · Cited by 2,911 · see citing works

Content-Based Recommendation Systems

Pazzani, M. J., & Billsus, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_10 · Cited by 2,600 · see citing works

Taxonomy of educational objectives

(2014) · Encyclopedia of Educational Theory and Philosophy · doi:10.4135/9781483346229.n326 · Cited by 2,480 · see citing works

Knowledge Graphs

Hogan, A., Blomqvist, E., Cochez, M., d’Amato, C., de Melo, G., Gutiérrez, C., Kirrane, S., Gayo, J. E. L., Roberto Navigli, A., Neumaier, S., et al. (2021) · ACM Computing Surveys · doi:10.1145/3447772 · Cited by 2,371 · see citing works

Vision, challenges, roles and research issues of Artificial Intelligence in Education

Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100001 · Cited by 1,435 · see citing works

Knowledge Graph Convolutional Networks for Recommender Systems

Wang, H., Zhao, M., Xie, X., Li, W., & Guo, M. (2019) · International World Wide Web Conference (WWW) · doi:10.1145/3308558.3313417 · Cited by 1,194 · see citing works

Application and theory gaps during the rise of artificial intelligence in education

Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100002 · Cited by 1,003 · see citing works

Knowledge management, decision-making style and organizational performance

Abubakar, A. M., Elrehail, H., Alatailat, M., & Elçi, A. (2017) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2017.07.003 · Cited by 863 · see citing works

Self-Regulation, Co-Regulation, and Shared Regulation in Collaborative Learning Environments

Hadwin, A. F., Järvelä, S., & Miller, M. (2017) · Routledge eBooks · doi:10.4324/9781315697048-6 · Cited by 683 · see citing works

Liberal education in a knowledge society

Bereiter, C. (2003) · Choice Reviews Online · doi:10.5860/choice.40-3551 · Cited by 629 · see citing works

Effects of artificial intelligence-enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom

Huang, A. Y. Q., Lu, O. H. T., & Yang, S. J. H. (2023) · Computers & Education · doi:10.1016/j.compedu.2022.104684 · Cited by 605 · see citing works

Collective cognitive responsibility for the advancement of knowledge

Scardamalia, M. (2002) · Cited by 600 · see citing works

Enhancing socially shared regulation in collaborative learning groups: designing for CSCL regulation tools.

Järvelä, S., Kirschner, P. A., Panadero, E., Malmberg, J., Phielix, C., Jaspers, J., Koivuniemi, M., & Järvenoja, H. (2015) · Educational Technology Research and Development · doi:10.1007/s11423-014-9358-1 · Cited by 373 · see citing works

Socially shared regulation of learning: a review.

Panadero, E., & Järvelä, S. (2015) · European Psychologist · doi:10.1027/1016-9040/a000226 · Cited by 355 · see citing works

A systematic review of teacher guidance during collaborative learning in primary and secondary education

van Leeuwen, A., & Janssen, J. (2019) · Educational Research Review · doi:10.1016/j.edurev.2019.02.001 · Cited by 355 · see citing works

Learning Technology Models that Support Personalization within Blended Learning Environments in Higher Education

Alamri, H., Watson, S. L., & Watson, W. R. (2020) · TechTrends · doi:10.1007/s11528-020-00530-3 · Cited by 350 · see citing works

Group goals and group performance*

Weldon, E., & Weingart, L. R. (1993) · British Journal of Social Psychology · doi:10.1111/j.2044-8309.1993.tb01003.x · Cited by 299 · see citing works

Computer-supported collaborative learning: An analysis of the relationship between interaction, emotional support and online collaborative tools

Hernández-Sellés, N., Carril, P. C. M., & Sanmamed, M. G. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.04.012 · Cited by 257 · see citing works

A development research agenda for online collaborative learning

Reeves, T. C., Herrington, J., & Oliver, R. (2004) · Educational Technology Research and Development · doi:10.1007/bf02504718 · Cited by 219 · see citing works

Affordances and challenges of artificial intelligence in K-12 education: a systematic review

Crompton, H., Jones, M. V., & Burke, D. (2024) · Journal of Research on Technology in Education · doi:10.1080/15391523.2022.2121344 · Cited by 213 · see citing works

Knowledge Building Discourse Explorer: a social network analysis application for knowledge building discourse

Oshima, J., Oshima, R., & Matsuzawa, Y. (2012) · Educational Technology Research and Development · doi:10.1007/s11423-012-9265-2 · Cited by 185 · see citing works

Unfolding collaborative learning assessment literacy: a reflection on current assessment methods in higher education

Meijer, H., Hoekstra, R., Brouwer, J., & Strijbos, J.-W. (2020) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2020.1729696 · Cited by 168 · see citing works

Schools as Knowledge-Building Organizations: Thirty Years of Design Research

Chen, B., & Hong, H. (2016) · Educational Psychologist · doi:10.1080/00461520.2016.1175306 · Cited by 157 · see citing works

Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review

Joksimovic, S., Ifenthaler, D., Marrone, R., De Laat, M., & Siemens, G. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100138 · Cited by 152 · see citing works

Promoting regulation of equal participation in online collaboration by combining a group awareness tool and adaptive prompts. But does it even matter?

Strauß, S., & Rummel, N. (2021) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-021-09340-y · Cited by 147 · see citing works

Understanding student teachers’ collaborative problem solving: Insights from an epistemic network analysis (ENA)

Zhang, S., Gao, Q., Sun, M., Cai, Z., Li, H., Tang, Y., & Liu, Q. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104485 · Cited by 145 · see citing works

Augmented reality enhanced cognitive engagement: designing classroom-based collaborative learning activities for young language learners

Wen, Y. (2020) · Educational Technology Research and Development · doi:10.1007/s11423-020-09893-z · Cited by 142 · see citing works

A comprehensive analysis of personalized learning components

Shemshack, A., Kinshuk, & Spector, J. (2021) · Journal of Computers in Education · doi:10.1007/s40692-021-00188-7 · Cited by 133 · see citing works

Reflective assessment in knowledge building by students with low academic achievement

Yang, Y., van Aalst, J., Chan, C. K. K., & Tian, W. (2016) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-016-9239-1 · Cited by 103 · see citing works

Reciprocal issues of artificial and human intelligence in education

Ifenthaler, D., & Schumacher, C. (2023) · Journal of Research on Technology in Education · doi:10.1080/15391523.2022.2154511 · Cited by 101 · see citing works

Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics

Nguyen, A., Järvelä, S., Rosé, C. P., Järvenoja, H., & Malmberg, J. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13280 · Cited by 100 · see citing works

The impact of an online collaborative learning program on students’ attitude towards technology

Magen-Nagar, N., & Shonfeld, M. (2017) · Interactive Learning Environments · doi:10.1080/10494820.2017.1376336 · Cited by 97 · see citing works

Student learning performance in online collaborative learning

Ng, P. M. L., Chan, J. K. Y., & Lit, K. K. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10923-x · Cited by 95 · see citing works

Impact of the COVID-19 pandemic on student teachers: how the shift to online collaborative learning affects student teachers’ learning and future teaching in a Chinese context

Lei, M., & Medwell, J. (2021) · Asia Pacific Education Review · doi:10.1007/s12564-021-09686-w · Cited by 88 · see citing works

Knowledge co-construction activities and task-related monitoring in scripted collaborative learning

Vuopala, E., Näykki, P., Isohätälä, J., & Järvelä, S. (2019) · Learning Culture and Social Interaction · doi:10.1016/j.lcsi.2019.03.011 · Cited by 78 · see citing works

Interactive natural language question answering over knowledge graphs

Zheng, W., Cheng, H., Yu, J. X., Zou, L., & Zhao, K. (2018) · Information Sciences · doi:10.1016/j.ins.2018.12.032 · Cited by 76 · see citing works

Observer agreement for event sequences: Methods and software for sequence alignment and reliability estimates

Quera, V., Bakeman, R. A., & Gnisci, A. (2007) · Behavior Research Methods · doi:10.3758/bf03192842 · Cited by 74 · see citing works

Collaborative Filtering Based Recommendation System: A survey

Hameed, M. A., Jadaan, O. A., Emirates, U. A., & Ramachandram, S. (2012) · Cited by 65 · see citing works

MOOC-BERT: Automatically Identifying Learner Cognitive Presence From MOOC Discussion Data

Liu, Z., Kong, X., Chen, H., Liu, S., & Yang, Z. (2023) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2023.3240715 · Cited by 63 · see citing works

Learning for a Reason: Supporting Forms of Engagement by Designing Tasks and Orchestrating Environments

Gresalfi, M. S., & Barab, S. A. (2011) · Theory Into Practice · doi:10.1080/00405841.2011.607391 · Cited by 60 · see citing works

Developing a Topic Analysis Instant Feedback System to facilitate asynchronous online discussion effectiveness

Chen, C., Li, M.-C., Chang, W.-C., & Chen, X.-X. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.104095 · Cited by 60 · see citing works

Facilitating knowledge construction in mobile learning contexts: A bi‐directional peer‐assessment approach

Hwang, G., & Chang, S. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.13001 · Cited by 57 · see citing works

Perception of online feedback and its impact on cognitive and emotional engagement with feedback

Saíz, R. M. M., Espasa, A., Guasch, T., & Melo, M. M. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10948-2 · Cited by 56 · see citing works

Using learning analytics to explore the multifaceted engagement in collaborative learning

Xing, W., Zhu, G., Arslan, O., Shim, J., & Popov, V. (2022) · Journal of Computing in Higher Education · doi:10.1007/s12528-022-09343-0 · Cited by 50 · see citing works

An automatic knowledge graph construction approach to promoting collaborative knowledge building, group performance, social interaction and socially shared regulation in <scp>CSCL</scp>

Zheng, L., Niu, J., Long, M., & Fan, Y. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13283 · Cited by 49 · see citing works

Development of Knowledge Graph for University Courses Management

Aliyu, I., Kana, A. F. D., & Aliyu, S. (2020) · International Journal of Education and Management Engineering · doi:10.5815/ijeme.2020.02.01 · Cited by 47 · see citing works

Proceedings of the Fifth Annual ACM Conference on Learning at Scale

(2018) · doi:10.1145/3231644 · Cited by 44 · see citing works

CMKT: Concept Map Driven Knowledge Tracing

Lu, Y., Chen, P., Pian, Y., & Zheng, V. W. (2022) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2022.3196355 · Cited by 43 · see citing works

Scaffolding English language learners for online collaborative writing activities

Such, B. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1579233 · Cited by 42 · see citing works

Constructing an Educational Knowledge Graph with Concepts Linked to Wikipedia

Dang, F.-R., Tang, J., Pang, K., Wang, T., Li, S., & Li, X. (2021) · Journal of Computer Science and Technology · doi:10.1007/s11390-020-0328-2 · Cited by 42 · see citing works

An automatic knowledge graph construction system for K-12 education

Chen, P., Lu, Y., Zheng, V. W., Chen, X., & Li, X. (2018) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3231644.3231698 · Cited by 40 · see citing works

Examining the role of sentence openers, role assignment scaffolds and self-determination in collaborative knowledge building

Avcı, Ü. (2019) · Educational Technology Research and Development · doi:10.1007/s11423-019-09672-5 · Cited by 39 · see citing works

Effects of an interculturally enriched collaboration script on student attitudes, behavior, and learning performance in a CSCL environment

Popov, V., Biemans, H. J. A., Fortuin, K. P. J., van Vliet, A. J. H., Erkens, G., Mulder, M., Jaspers, J., & Li, Y. (2019) · Learning Culture and Social Interaction · doi:10.1016/j.lcsi.2019.02.004 · Cited by 38 · see citing works

Knowledge Building and Regulation in Computer-Supported Collaborative Learning

Zheng, L. (2016) · Perspectives on rethinking and reforming education · doi:10.1007/978-981-10-1972-2 · Cited by 36 · see citing works

A difficulty ranking approach to personalization in E-learning

Segal, A., Gal, K., Shani, G., & Shapira, B. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.07.002 · Cited by 36 · see citing works

Scaffolding wiki‐supported collaborative learning for small‐group projects and whole‐class collaborative knowledge building

Lin, C., & Reigeluth, C. M. (2016) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12140 · Cited by 32 · see citing works

The impacts of scaffolding socially shared regulation on teamwork in an online project-based course

Cortázar, C., Nussbaum, M., Alario‐Hoyos, C., Goñi, J., & Alvares, D. (2022) · The Internet and Higher Education · doi:10.1016/j.iheduc.2022.100877 · Cited by 31 · see citing works

‘Supporting socially shared regulation during collaborative task-oriented reading’

Kielstra, J. G. G. M. A., Molenaar, I., van Steensel, R., & Verhoeven, L. T. W. (2022) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-022-09365-x · Cited by 29 · see citing works

Fostering low‐achieving students' productive disciplinary engagement through knowledge‐building inquiry and reflective assessment

Yang, Y., Yuan, K., Feng, X., Li, X., & van Aalst, J. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13267 · Cited by 26 · see citing works

Does collaborative learning design align with enactment? An innovative method of evaluating the alignment in the CSCL context

Zheng, L., Cui, P., & Zhang, X. (2020) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-020-09320-8 · Cited by 24 · see citing works

Fostering Students’ Scientific Inquiry through Computer-Supported Collaborative Knowledge Building

Li, P.-J., Hong, H., Chai, C. S., Tsai, C., & Lin, P.-Y. (2018) · Research in Science Education · doi:10.1007/s11165-018-9762-3 · Cited by 23 · see citing works

Cross-community knowledge building with idea thread mapper

Yuan, G., Zhang, J., & Chen, M.-H. (2022) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-022-09371-z · Cited by 23 · see citing works

More socio-emotional regulation, more effective? Exploring social regulation of learning in collaborative argumentation among the high and low performing groups

Li, X., Li, Y., Hu, W., Li, K., & Gao, L. (2022) · Metacognition and Learning · doi:10.1007/s11409-022-09329-4 · Cited by 23 · see citing works

A Rule-Based Approach for Adaptive Content Recommendation in a Personalized Learning Environment: An Experimental Analysis

Raj, N. S., & Renumol, V. G. (2019) · IEEE International Conference on Technology for Education (T4E) · doi:10.1109/t4e.2019.00033 · Cited by 22 · see citing works

The relationship between group adoption of Knowledge Building Principles and performance in creating artifacts

Chai, S., & Zhu, G. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-09986-3 · Cited by 20 · see citing works

Personalized Recommendation in the Adaptive Learning System: The Role of Adaptive Testing Technology

Dai, J., Gu, X., & Zhu, J. (2022) · Journal of Educational Computing Research · doi:10.1177/07356331221127303 · Cited by 20 · see citing works

Clustering-based knowledge graphs and entity-relation representation improves the detection of at risk students

Albreiki, B., Habuza, T., Palakkal, N., & Zaki, N. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11938-8 · Cited by 20 · see citing works

An effective method for incentivizing groups implemented in a collaborative problem-based learning system to enhance positive peer interaction and learning performance

Chen, C., Wang, J., & Zhao, R.-H. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1663435 · Cited by 19 · see citing works

Successful Knowledge Building Needs Group Awareness: Interaction Analysis of a 9th Grade CSCL Biology Lesson

Creß, U., & Kimmerle, J. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8960-3_27 · Cited by 17 · see citing works

A Review of Intelligent Application of Educational Knowledge Graph from the Perspective of Artificial Intelligence

Wu, L., Tu, F., Liu, Q., Ma, X., Jia, X., & Gao, Y. (2022) · International Symposium on Educational Technology · doi:10.1109/iset55194.2022.00049 · Cited by 9 · see citing works

Investigating Students’ Engagement Patterns and Supporting Game Features in a Personalized Computerized Role-Playing Game Environment

Zhong, L. (2022) · Journal of Educational Computing Research · doi:10.1177/07356331221125946 · Cited by 9 · see citing works

Predicting Group Performance Using Process Data in a Collaborative Assessment

Mohan, K., Bergner, Y., & Halpin, P. F. (2020) · Technology Knowledge and Learning · doi:10.1007/s10758-020-09439-5 · Cited by 8 · see citing works

Knowledge Graph Attention Network with Attribute Significance for Personalized Recommendation

Wang, C., Zhang, H., Li, L., & Li, D. (2022) · Neural Processing Letters · doi:10.1007/s11063-022-11077-0 · Cited by 8 · see citing works

iLRN 2016 Santa Barbara!

Allison, C. (2020) · Data Archiving and Networked Services (DANS) · doi:10.3217/978-3-85125-472-3 · Cited by 1 · see citing works

Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis

Halkiopoulos, C., & Gkintoni, E. (2024) · Electronics · doi:10.3390/electronics13183762 · Cited by 328 · see citing works

Systematic review of artificial intelligence in education: trends, benefits, and challenges

Garzón, J., Patiño, E., & Marulanda, C. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti9080084 · Cited by 265 · see citing works

Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs

Mah, D.-K., & Groß, N. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00490-1 · Cited by 218 · see citing works

Design and assessment of AI-based learning tools in higher education: a systematic review

Luo, J., Zheng, C., Yin, J., & Teo, H. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00540-2 · Cited by 244 · see citing works

Teachers' perspectives of integrating AI-powered technologies in K-12 education for creating customized learning materials and resources

Almuhanna, M. A. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13257-y · Cited by 101 · see citing works

Enhancing student acceptance of artificial intelligence-driven hybrid learning in business education: Interaction between self-efficacy, playfulness, emotional engagement, and university support

Wang, S., Sun, Z., Wang, H., Yang, D., & Zhang, H. (2025) · The International Journal of Management Education · doi:10.1016/j.ijme.2025.101184 · Cited by 51 · see citing works

Collaborative Uses of GenAI Tools in Project-Based Learning

Perifanou, M. A., & Economides, A. A. (2025) · Education sciences · doi:10.3390/educsci15030354 · Cited by 45 · see citing works

The impact of artificial intelligence-based learning tools in academic innovation: a review of Deep seek, GPT, and Gemini (2020–2025)

Younas, M., El-Dakhs, D., & Noor, U. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1689205 · Cited by 36 · see citing works

Using AI to Support Education for Collective Intelligence

Casebourne, I., Shi, S., Hogan, M., Holmes, W., Hoel, T., Wegerif, R., & Yuan, L. Y. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00437-7 · Cited by 32 · see citing works

Supporting peer learning with artificial intelligence: A systematic literature review

Sichterman, B., Noroozi, O., Boetje, J., van Ginkel, S. O., Khosravi, H., & Versendaal, J. (2025) · Innovations in Education and Teaching International · doi:10.1080/14703297.2025.2530118 · Cited by 26 · see citing works

Artificial Intelligence in Education, Bridging Community Gap: A Phenomenological Approach

Opesemowo, O. A. G. (2024) · International Journal of New Education · doi:10.24310/ijne.14.2024.20505 · Cited by 18 · see citing works

Students Collaboratively Prompting ChatGPT

Perifanou, M. A., & Economides, A. A. (2025) · Computers · doi:10.3390/computers14050156 · Cited by 17 · see citing works

The impact of artificial intelligence on students’ 4C skills: A meta-analysis

Tian, Q., & Zheng, X. (2025) · Educational Research Review · doi:10.1016/j.edurev.2025.100728 · Cited by 20 · see citing works

What do we mean by “AI Integration”? Toward a typology of integrating artificial intelligence in higher education

Hou, Y. (2025) · Higher Education · doi:10.1007/s10734-025-01603-z · Cited by 20 · see citing works

Is generative artificial intelligence (GenAI) a game changer for interdisciplinary collaborative learning in higher education?

Xia, Q., Weng, X., Huang, W., Li, Y. K., Kin, C. W., & Chiu, T. K. F. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13812-1 · Cited by 8 · see citing works

Transforming Self-regulated Learning – Multimodal Insights and Future Directions

Seufert, T. (2026) · Educational Psychology Review · doi:10.1007/s10648-026-10119-6 · Cited by 6 · see citing works

Revolutionizing English Language Learning Through Social Robots and Artificial Intelligence: Towards Inclusive and Personalized Education

Luria, E. (2025) · Digital education and learning · doi:10.1007/978-3-032-03977-4_4 · Cited by 5 · see citing works

A multi-head mixed attention mechanism enhanced multimodal knowledge graph for personalized recommendation

Zhang, S., Yang, L., & Cheng, Q. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.132393 · Cited by 4 · see citing works

Beyond the screen: Exploring the impact of GenAI-supported online learning on interaction, motivation, and self-regulation in higher education

Arslan, M. A., Arpacık, Ö., Küçük, S., & Durak, H. Y. (2026) · Journal of Research on Technology in Education · doi:10.1080/15391523.2026.2643173 · Cited by 4 · see citing works

A DEMATEL-ANP-Based Evaluation of AI-Assisted Learning in Higher Education

Ilieva, G., Yankova, T., Ruseva, M., & Klisarova-Belcheva, S. (2026) · Computers · doi:10.3390/computers15020079 · Cited by 3 · see citing works

Enhancing adolescents’ exercise motivation management with generative AI anthropomorphism: a chain-mediated model of technology acceptance and self-efficacy

Wang, K., Li, H., Yu, G., Li, G., & Song, Y. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1662331 · Cited by 3 · see citing works

Optimising college English Language Teaching via Human–Computer Interaction analysis and Collaborative Learning Technologies

Sun, N. (2026) · Australian Journal of Electrical & Electronics Engineering · doi:10.1080/1448837x.2026.2618423 · Cited by 2 · see citing works

Using generative artificial intelligence to empower automatic assessment of lesson plans across different domains

Zheng, L., Liu, Z. H., & Huang, Z. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14024-x · Cited by 2 · see citing works

A novel group cognitive graph approach for improving collaborative problem solving

Zheng, L., Shi, Z., Gao, L., & Fan, Y. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00520-6 · Cited by 2 · see citing works

Leveraging AI to Create Personalized Learning Experiences in Management Education

Mutsuddi, I. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2150-9.ch007 · Cited by 2 · see citing works

Does ChatGPT-Enhanced Collaborative Learning Foster Critical Thinkingin Education? A Bloom’s Taxonomy PerspectivePreprint

Eunike, I. J., Serang, Y., & Silalahi, A. D. K. (2025) · Research Square · doi:10.21203/rs.3.rs-6307782/v1 · Cited by 2 · see citing works

Unraveling Learning Motivation in AI-Mediated Learning Environments: A Systematic Review of Research (2014-2024)

(2025) · TESOL Communications · doi:10.58304/tc.20250502 · Cited by 2 · see citing works

ChatGPT use in higher education writing and its relationship with critical thinking autonomy struggle and authorship

Hamsiah, A., Rizal, A., & Malik, A. R. (2026) · Discover Education · doi:10.1007/s44217-026-01627-2 · Cited by 5 · see citing works

AI and student motivation: A scoping review

Li, J., King, R. B., Chai, C. S., Lee, V. W. Y., & Li, R. (2026) · Journal of Research on Technology in Education · doi:10.1080/15391523.2026.2672515 · Cited by 1 · see citing works

A Systematic Review of Frameworks for Evaluating Cognitive-Social-Emotional Skills in Online Knowledge Construction

Chen, X., Xie, H., Zou, D., & Wang, F. L. (2025) · International Symposium on Educational Technology · doi:10.1109/iset65607.2025.00072

Data Science Framework for Adaptive Expert Systems: Psychological Profiling and Knowledge Fusion in Higher Education

Mesic, T., & Hub, M. (2025) · Acta Informatica Pragensia · doi:10.18267/j.aip.282 · Cited by 1 · see citing works

Investigating social regulation in K–12 online collaborative classrooms: a mixed-methods analysis of academic performance and social-emotional interaction across learning phasesPreprint

Junqi, W., Huang, J., Tu, Y., & Zheng, X. (2025) · Research Square · doi:10.21203/rs.3.rs-6875951/v1

Redefining Student Engagement in the Age of AI

Hınız, G. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7569-4.ch007

AI in Education: Review and Prospect

Zhou, L., Zhang, S., & Tian, Y. (2025) · International Conference on Implementing Generative AI into Telecommunication and Digital Innovation · doi:10.1145/3771792.3773889

Short-term gains, long-term gaps: Unpacking the role of learning analytics in student engagement in social annotation

Jung, Y., Lee, S. S., & Wise, A. F. (2026) · The Internet and Higher Education · doi:10.1016/j.iheduc.2026.101078

Artificial intelligence in distance education: a systematic review of emerging pedagogical, cognitive and institutional dynamics

Corry, M. D. (2026) · Quarterly review of distance education · doi:10.1108/qrde-12-2025-0027

Faculty readiness for AI-driven digital transformation in Omani higher education: examining the attitudes -usage gap

Natarajan, J., Ayyappan, J. P., Sharma, K., Krishnasamy, T., & Seshan, V. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1774840 · Cited by 4 · see citing works

How roles emerging and distribution during the SSRL Process in AI supported collaborative learning?

Chen, X., Guo, X., Xu, J., & Wu, L. (2025) · doi:10.1145/3797552.3797636

From Tools to Teammates: The Role of Agentic AI in Collaborative Learning and Classroom Dynamics

Almukhaini, A. M. A. R., Almukhaini, A. R. T., Harthi, W. S. A., & Nahwi, S. N. A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-15806-2_48

Perspective Chapter: Integrating AI in Massive Open Online Courses – Teachers’ Roles in Facilitating Human–AI Collaboration and Critical Engagement in MOOCs

Singh, A. B. (2026) · Education and human development · doi:10.5772/intechopen.1015315

Capturing the temporal interplay of knowledge construction and group-level regulation in collaborative problem solving

Im, Y., Choe, J., & Shin, Y. (2026) · Metacognition and Learning · doi:10.1007/s11409-026-09473-1 · Cited by 1 · see citing works

De La Médiation Humaine À La Médiation Hybride: L'intégration De L'intelligence Artificielle Sous La Guidance De L'enseignant Dans L'enseignement De La Culture En FLE

ZENGİNALOĞLU, K. (2026) · Buca eğitim fakültesi dergisi (Online)/Buca Eğitim Fakültesi dergisi · doi:10.53444/deubefd.1901044

AMPELR: An Adaptive Mamba-Based Personalized E-Learning Recommendation Framework

Ramamoorthy, S. K., Sivabalan, Reddy, S. S., Padmavathy, R., & Haritha, A. (2026) · International Conference on Integrated Circuits and Communication Systems (ICICACS) · doi:10.1109/icicacs68679.2026.11578743

A personalized english learning path recommendation model based on knowledge graph and learner profiling

Pan, Y., & Huang, J. (2026) · Progress in Artificial Intelligence · doi:10.1007/s13748-026-00477-1

SafetyVerse: An AI-Driven Gamified Metaverse for Enhancing Workplace Safety Training and Compliance

Sugathan, S. K., Ismadi, M. A. H., Naji, G. M. A., & Kalid, K. S. (2025) · IEEE Conference on Engineering Informatics (ICEI) · doi:10.1109/icei68356.2025.11603716

A Systematic Review of Adaptive Learning in Higher Education: Multi-Dimensional Input, Pedagogies, and Learning Outcomes

Pang, S., Luo, K., Zhang, J., & Yang, Y. (2026) · International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste69562.2026.11649835

Deep Learning for Modern E-Learning Systems

Sindiramutty, S. R., Khairuddin, S. H., & Jhanjhi, N. Z. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-6581-7.ch005

Students’ agency in GenAI-mediated group assessment: an ecological-emergent perspective

Chen, X., & Zou, T. X. P. (2026) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2026.2730644

2CARE: LLM-Based Classifier of Imitative Versus Creative Reasoning Achieving Near-Perfect Accuracy in Think-Aloud Transcripts

Vanhée, L., Boström, E., Lithner, J., Andersson, C., Palmberg, B., Winberg, M., Svahn, O., & Palm, T. (2026) · IEEE Access · doi:10.1109/access.2026.3733324

Enhancing Collaboration Quality in Adaptive Learning Systems: Perspectives on Human-Human and Human-AI Collaboration

Hocine, N. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-39106-3_3

Collaborating in the age of GenAI: a mixed-methods study of model preferences

Perifanou, M. A., & Economides, A. A. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14167-x

An AI-enabled feedback-feedforward approach to promoting online collaborative learning

Zheng, L., Fan, Y., Chen, B., Huang, Z., LeiGao, & Long, M. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12292-5 · Cited by 59 · see citing works

AI-Enabled Application Mode of Automated Assessment for Online Collaborative Learning Based on Knowledge Graphs

Zhang, H., Zhang, S., Wang, M.-H., & Zou, W. (2025) · International Conference on Educational Technology Management (ICETM) · doi:10.1109/icetm67477.2025.11413486

IMPACT OF ARTIFICIAL INTELLIGENCE ON STUDENT ATTITUDES, ENGAGEMENT, AND LEARNING

(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets56247 · Cited by 9 · see citing works

Promoting knowledge elaboration, socially shared regulation, and group performance in collaborative learning: an automated assessment and feedback approach based on knowledge graphs

Zheng, L.-Q., Long, M., Chen, B.-D., & Fan, Y. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00415-4 · Cited by 46 · see citing works

An Artificial Intelligence‐Enabled Group Cognitive Diagnosis Approach With the Goal of Promoting Online Collaborative Learning

Zheng, L., Huang, Z., Gao, L., & Fan, Y. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70113 · Cited by 2 · see citing works