Cited by 124Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in EducationOnline Learning and Analytics

The DOI matches its Crossref record; 123 of the 132 references it cites were found in a registry or an index.

Evolution and trends in intelligent tutoring systems research: a multidisciplinary and scientometric view

Open access

Guo, Lu, Wang, Dong, Gu, Fei, Li, Yazheng, Wang, Yezhu, Zhou, Rongting·2021·Asia Pacific Education Review

DOI 10.1007/s12564-021-09697-7PMC PMC8095475

Open this paper in CoChat — free account Open PDF

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1007/s12564-021-09697-7

Cites

123 of 123 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Deep learning in neural networks: an overview
Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570
A fast learning algorithm for deep belief nets
Hinton, G. E., Osindero, S., & Teh, Y.-W. (2006) · Neural Computation · doi:10.1162/neco.2006.18.7.1527 · Cited by 16,336
CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature
Chen, C. (2005) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20317 · Cited by 6,820
The Architecture of Cognition
Anderson, J. R. (2013) · doi:10.4324/9781315799438 · Cited by 6,761
The Cambridge Handbook of the Learning Sciences
(2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833 · Cited by 4,675
Cognitive Psychology and Its Implications
Anderson, J. R. (2014) · Cited by 4,121
Knowledge tracing: Modeling the acquisition of procedural knowledge
Corbett, A. T., & Anderson, J. R. (1995) · User Modelling and User-Adapted Interaction · doi:10.1007/bf01099821 · Cited by 2,324
The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems
VanLEHN, K. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.611369 · Cited by 2,323

Show all 132 references

Research works printed but not linked: 10

Conati, C., Gertner, A., & Vanlehn, K. (2002a). Using Bayesian networks to manage uncertainty in student modeling. User Modeling and User-Adapted Interaction, 12, 371–417 · DOI · Paper page
Desmarais, M. C., & d Baker, R. S. (2012). A review of recent advances in learner and skill modeling in intelligent learning environments. User Modeling and User-Adapted Interaction, 22(1), 9–38 · DOI
Graesser, A. C., Conley, M. W., & Olney, A. M. (2011). Intelligent tutoring systems. In S. Graham & K. Harris (Eds.), APA educational psychology handbook: Vol 3. Applications to learning and teaching.American Psychological Association.
Graesser, A.C., Moreno, K., Marineau, J., Adcock, A., Olney, A., Person, N., & The Tutoring Research Group (2003). AutoTutor improves deep learning of computer literacy: Is it the dialogue or the talking head? In U. Hoppe, F. Verdejo, & J. Kay (Eds.), Proceedings of artificial intelligence in education (pp. 47–54). Amsterdam: IOS Press.
Hu, Z., & Zhou, T. (2017). New media industries from frontiers artificial intelligence and virtual reality. Social Sciences Academic Press (China), 1, 2–3
Li, J., & Chen, C. (2016). CiteSpace: Text mining and visualization in scientific literature. Capital University of Economics and Business Press.
Lighthill, J. (1973). Artificial Intelligence: A general survey. Artificial Intelligence: a paper symposium, Science Research Council.
Liu, K., & Jing, Hu. (2018). The theory framework of AIED: The symmetric hypothesis between learner and educational resources—An interview with ITS expert professor Xiangen Hu[J]. Open Education Research, 24(06), 4–11
Liu, Y. (2003). Modern educational technology and intelligent computer-aided teaching. Journal of Natural Sciences of Harbin Normal University, 2003(5), 59–61
Xu, G., Zeng, W., & Huang, C. (2009). Research on intelligent teaching system. Research on Computer Applications, 2009(11), 4019–4022

Sorted by citations

AI‐driven adaptive learning for sustainable educational transformation
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025) · Sustainable Development · doi:10.1002/sd.3221 · Cited by 581
The threat, hype, and promise of artificial intelligence in education
Humble, N., & Mozelius, P. (2022) · Discover Artificial Intelligence · doi:10.1007/s44163-022-00039-z · Cited by 125
The Emerging Role of Artificial Intelligence in STEM Higher Education: A Critical Review
Nagaraj, B. K., A, K., R, S. B., S, A., Sachdev, H. K., & N, S. K. (2023) · International Research Journal of Multidisciplinary Technovation · doi:10.54392/irjmt2351 · Cited by 86
The potential of learning with (and not from) artificial intelligence in education
Chichekian, T., & Benteux, B. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.903051 · Cited by 75
AI-Powered E-Learning for Lifelong Learners: Impact on Performance and Knowledge Application
Ahn, H. Y. (2024) · Sustainability · doi:10.3390/su16209066 · Cited by 56
On opportunities and challenges of large multimodal foundation models in education
Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., Stausberg, N., Steinert, S., Fischer, F., Fischer, M., et al. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00301-w · Cited by 47
Design and Evaluation of Trustworthy Knowledge Tracing Model for Intelligent Tutoring System
Lu, Y., Wang, D., Chen, P., & Zhang, Z. (2024) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2024.3403135 · Cited by 45
Self-citation
The Role of Artificial Intelligence in Shaping the Future of Education: Opportunities and Challenges
Іванашко, О., Козак, А., Knysh, T., & Honchar, K. (2024) · Futurity Education · doi:10.57125/fed.2024.03.25.08 · Cited by 60
Combining intelligent tutoring systems and gamification: a systematic literature review
Ramadhan, A., Warnars, H. L. H. S., & Razak, F. H. A. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12092-x · Cited by 33
How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)
Dong, C., Yuan, Y., Chen, K., Cheng, S., & Wen, C. (2025) · International Conference on Educational and Information Technology · doi:10.1109/iceit64364.2025.10975937 · Cited by 74
Chatbots and academic writing for doctoral students
Krumsvik, R. J. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13177-x · Cited by 31
Physical embodiment and anthropomorphism of AI tutors and their role in student enjoyment and performance
Ackermann, H., Henke, A., Chevalère, J., Yun, H. S., Hafner, V. V., Niels Pinkwart, C., & Lazarides, R. (2025) · npj Science of Learning · doi:10.1038/s41539-024-00293-z · Cited by 44
A scientometric analysis of technostress in education from 1991 to 2022
Li, L., Li, L., Zhong, B., & Yang, Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12781-1 · Cited by 26
Deep learning based knowledge tracing in intelligent tutoring systems
Zhou, X., Zhang, Z., Xie, X., & Zhang, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-07422-7 · Cited by 37
The Application of Active Methodologies in Spain: An Investigation of Teachers’ Use, Perceived Student Acceptance, Attitude, and Training Needs Across Various Educational Levels
Cabanillas-García, J. L. (2025) · Education Sciences · doi:10.3390/educsci15020210 · Cited by 39
Artificial Intelligence
Ahmad, W., Shokeen, R., & Raj, R. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-5538-1.ch017 · Cited by 22
A systematic and bibliometric review of artificial intelligence in sustainable education: Current trends and future research directions
Abulibdeh, A. O. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101033 · Cited by 39
Are Large Multimodal Foundation Models all we need? On Opportunities and Challenges of these Models in EducationPreprint
Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., Stausberg, N., Steinert, S., Fischer, F., Fischer, M. R., et al. (2024) · doi:10.35542/osf.io/n7dvf · Cited by 19
The Position of Artificial Intelligence in the Future of Education: An Overview
Mijwil, M. M., Aggarwal, K., Mutar, D. S., Mansour, N., & Singh, R. (2022) · Asian Journal of Applied Sciences · doi:10.24203/ajas.v10i2.6956 · Cited by 20
A review of intelligent interactive learning methods
Ukenova, А., & Bekmanova, G. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2023.1141649 · Cited by 24
Educational Technology in the University: A Comprehensive Look at the Role of a Professor and Artificial Intelligence
Shin, C., Seo, D. G., Jin, S.-Y., Lee, S. H., & Park, H. J. (2024) · IEEE Access · doi:10.1109/access.2024.3447067 · Cited by 24
AI in Adaptive Learning: Challenges and Opportunities
Er-Rafyg, A., Zankadi, H., & Idrissi, A. (2024) · Studies in computational intelligence · doi:10.1007/978-3-031-65038-3_26 · Cited by 17
Exploring Chinese teachers’ concerns about teaching artificial intelligence: the role of knowledge and perceived social good
Lin, X., Shen, W., Huang, S., Wang, Y., Zhou, W. L., Ling, X., & Li, W. (2025) · Asia Pacific Education Review · doi:10.1007/s12564-024-10034-x · Cited by 14
Self-citation
A framework for adapting conversational intelligent tutoring systems to enable collaborative learning
Arnau‐González, P., Solera-Monforte, S., Wu, Y., & Arevalillo‐Herráez, M. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.126663 · Cited by 17
Generative AI-Based Tutoring for Enhancing Learning Engagement and Achievement
Belawati, T., & Prasetyo, D. (2025) · Open Praxis · doi:10.55982/openpraxis.17.2.902 · Cited by 19
Multidimensional Student Agency in Learning with AI: A Conceptual Framework and Design Implications
Vincoli, M., Scholz, N., & Nagashima, T. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-98459-4_16 · Cited by 16
MathAIde in the Classroom: A Qualitative Analysis of Teachers' Perspectives of Intelligent Tutoring Systems Unplugged
Rodrigues, L., Guerino, G. C., da Silva, T. E. V., Bianchini, L. D. P., Xavier, M., Vieira, T. M. D. A., Marinho, M., Macario, V., Dermeval, D., Bittencourt, I. I., et al. (2024) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/sbie.2024.242017 · Cited by 11
Lernpfade in adaptiven und künstlich-intelligenten Lernprogrammen. Eine kritische Analyse aus mediendidaktischer Sicht
Kerres, M., Buntins, K., Buchner, J., Drachsler, H., & Zawacki‐Richter, O. (2023) · Springer eBooks · doi:10.1007/978-3-658-40079-8_6 · Cited by 10
Asking questions matters: comparing the effect of learning through dialogue with peers, ChatGPT, and intelligent tutoring system
Yang, J. W., Choe, K., Lim, J., & Park, J. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2488984 · Cited by 9
Smart Tutors: improving the quality of higher education through AI
Cairo, D. R., & Echavarría, Y. R. (2023) · LatIA · doi:10.62486/latia20238 · Cited by 13
AI in Higher Education
Torrisi‐Steele, G. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2397-8.ch007 · Cited by 8
The Future of Artificial Intelligence in Education 4.0
Polas, M. R. H., Jahanshahi, A. A., Ahamed, B., & Molla, M. O. F. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-6684-9103-4.ch001 · Cited by 6
Enhancing Social Engagement among Online Learners' Using AI-Driven Tools: National Open University of Nigeria Leaners' Perspective
Ezeanya, C. U., Ukaigwe, J. A., Ogbaga, I. N., & Kwanashie, A. (2024) · ABUAD Journal of Engineering Research and Development (AJERD) · doi:10.53982/ajerd.2024.0702.08-j · Cited by 13
Integrating Adaptive Intelligent Tutoring Systems into Private Higher Educational Institutes
Gounder, N., Faniran, I. V. T., & Faloye, S. T. (2024) · IST-Africa Conference (IST-Africa) · doi:10.23919/ist-africa63983.2024.10569565 · Cited by 5
Generative AI Ethical Conundrum
Diyaolu, B. O., Bakare-Fatungase, O. D., & Ajayi, K. D. (2024) · Advances in library and information science (ALIS) book series · doi:10.4018/979-8-3693-3053-1.ch007 · Cited by 5
Development of methods and technologies for creating intelligent scientific and educational internet resources
Batyrkhanov, A., Sadirmekova, Z. B., Sambetbayeva, M., Nurgulzhanova, A. N., Ismagulova, Z., & Yerimbetova, A. (2022) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v11i5.3075 · Cited by 7
The impacts of learning analytics and A/B testing research: a case study in differential scientometrics
Baker, R. S., Nasiar, N., Gong, W., & Porter, C. (2022) · International Journal of STEM Education · doi:10.1186/s40594-022-00330-6 · Cited by 7
Human–Computer Interaction in Smart Classrooms: Enhancing Educational Outcomes in Chinese Higher Education
Chen, C., & Li, X. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2483851 · Cited by 6
Integrating Deep Learning Architecture into Matrix Factorization for Student Performance Prediction
Huynh-Ly, T.-N., Le, H.-T., & Thai-Nghe, N. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-91387-8_26 · Cited by 4
Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates
Antonucci, A., Mangili, F., Bonesana, C., & Adorni, G. (2022) · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · doi:10.32473/flairs.v35i.130692 · Cited by 4
Information Processing, Learning, and Its Artificial Intelligence
Praveenkumar, P., Pragati, M., Prathiba, S., Mirthulaa, G., Supriya, P., Jayashree, B., & Jayasri, R. (2024) · doi:10.1002/9781394214259.ch4 · Cited by 4
Does self-paced learning in mobile flood protection unit construction in virtual reality have advantages over traditional measures?
Querl, P., Chandra, R. L., Berkaoui, D., Castermans, K., & Nacken, H. (2024) · Frontiers in Virtual Reality · doi:10.3389/frvir.2024.1447288 · Cited by 3
AI for Formative and Summative Assessment
Dockens, A. L., & Shelton, K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5102-5.ch013 · Cited by 5
Application of Analytic Hierarchy Process (AHP) in the Evaluation of the Intelligent Teaching System (ITS) Module
Pan, P., Lin, X.-M., & Xu, D. (2024) · Smart innovation, systems and technologies · doi:10.1007/978-981-97-3210-4_20 · Cited by 3
An analysis of the effects of learner-centered software education and required support strategies
Ahn, S., & Oh, K. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1434700 · Cited by 3
Human Event Recognition in Smart Classrooms Using Computer Vision: A Systematic Literature Review
Córdoba-Tlaxcalteco, M. L., & Benítez–Guerrero, E. (2023) · Programming and Computer Software · doi:10.1134/s0361768823080066 · Cited by 3
Leveraging Artificial Intelligence Tools for Learning
Ogalo, E. O., & Mtenzi, F. J. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3373-0025-2.ch001 · Cited by 5
Adaptive Multi-Agent Tutoring AI for Multimodal Mathematics Conversational Learning
Le, Q., & Nguyen, H. D. (2025) · doi:10.1145/3746274.3760396 · Cited by 2
Intelligent learning systems in primary and secondary education: a systematic review (2014–2024)
Salazar, E. M. C., & González, D. C. B. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1720377 · Cited by 3
Integrative Approaches to Tackle Multidisciplinary Challenges: A Review of Multi-science Problem Analysis
Harle, S. M. (2024) · Current Materials Science · doi:10.2174/0126661454279515231225151023 · Cited by 2
Review Study on the Adaptive and Personalized Intelligent Tutoring Systems in E-learning
Hadbi, A. E., Hachem, E.-K., Bourray, H., Rziki, M. H., & Oubalahcen, H. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-54288-6_5 · Cited by 3
A Systematic Literature Review on Vision-Based Human Event Recognition in Smart Classrooms: Identifying Significant Events and Their Applications
Córdoba-Tlaxcalteco, M. L., & Benítez–Guerrero, E. (2024) · Proceedings of the Institute for System Programming of RAS · doi:10.15514/ispras-2024-36(1)-11 · Cited by 2
AI in education: Pedagogical and ethical analysis of the implementation of ASSISTments in the school environment
Bazoukis, G. A., Halkidis, S. T., Πεπές, Ε., & Venardos, P. (2024) · European Journal of Science and Mathematics Education · doi:10.30935/scimath/14902 · Cited by 4
A Concept of a New Knowledge Based Multimodal Affective Tutoring System
Markov, M., & Ganchev, T. D. (2021) · doi:10.1109/telecom53156.2021.9659684 · Cited by 1
Intelligent Communities
Pratschke, B. M. (2024) · Springer briefs in education · doi:10.1007/978-3-031-67991-9_5 · Cited by 1
Introduction to human-machine interaction
Ahmed, S. S., Nisar, H., & Lo, P. K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-29150-0.00008-1 · Cited by 1
Sorting Pauses in Speech Based Dialog Systems: Effects Of Knowing Whether Pauses in Speech are Mid-Turn or at The End Of the Turn
Jemmali, M., Dragon, G., Mendoza, R., Stille, D., Poinar, P., Ojha, A., Baez, K., Jeong, S., Balyan, R., & Iacobelli, F. (2024) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3678884.3681910 · Cited by 1
AI-Driven Innovations in Pedagogical and Andragogical Approaches
Asrifan, A., Shafa, S., Octaberlina, L. R., Ersyad, Z. M., Hermansyah, S., & Amri, N. A. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-6130-6.ch009 · Cited by 1
Do AI-Related Papers in Top Management Journals Contribute Greater Academic Impact and More Online Attention?
Guo, L., Wang, Y., & Zhang, A. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0868-3_17 · Cited by 1
Self-citation
The Collaborative Intelligence Mathematics Tutoring Service
Meng, H. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3701716.3715282 · Cited by 1
An Innovative Approach to Medical Education: Leveraging Generative Artificial Intelligence to Promote Inclusion and Support for Indigenous Students
Akefe, I. O., Adegoke, V. A., Akefe, E., Schweitzer, D. R., & Bolaji, S. (2025) · Trends in Higher Education · doi:10.3390/higheredu4030036 · Cited by 2
ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals
Ortega-Morla, J., Leis, A., Mallo, A., Morán‐Fernández, L., Guerreiro, S., Paz-López, A., Pérez‐Sánchez, B., Sánchez‐Maroño, N., Rodríguez‐Arias, A., Fontenla-Romero, Ó., et al. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3598041 · Cited by 1
How capable is GPT-4 at answering exams and tests in Norwegian, and what implications could this have for education?
Krumsvik, R. J. (2025) · Nordic Journal of Digital Literacy · doi:10.18261/njdl.20.2.5 · Cited by 1
Integración de inteligencia artificial en la enseñanza del inglés técnico para personal de comunicaciones de la fuerza aérea ecuatoriana
Cárdenas, J. (2025) · ASCE MAGAZINE · doi:10.70577/asce/436.453/2025 · Cited by 1
Evolution and Value of Arts Education Technology: A Comparative Analysis of Information Technology, Digital Technology, and Artificial Intelligence
Liu, W., & Wang, Z. (2025) · SAGE Open · doi:10.1177/21582440251395477 · Cited by 4
Critical Issues in Integrating Intelligent Tutorial Systems in a Slow Techno-social environment “Upon Commemoration of 30th Anniversary of Open University of Tanzania”
Awinia, C. S. (2026) · Discover Sustainability · doi:10.1007/s43621-024-00635-2 · Cited by 1
Revolutionizing Education
Thomas, A. A., Baby, R., Davidson, B. G. J., & George, J. P. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4521-5.ch014 · Cited by 1
Intelligent Tutoring Systems for STEM Learning
Latif, E., Ma, W., & Zhaı, X. (2026) · Springer eBooks · doi:10.1007/978-3-032-06565-0_8 · Cited by 1
Artificial Intelligence-Supported Solfège Instruction in Higher Music Education: Effects on Student Performance and Learning Attitudes
Karlıdağ, B. A., MALKOÇ, T., & Küçüktepe, S. E. (2026) · Applied Sciences · doi:10.3390/app16115383 · Cited by 2
Psychological and pedagogical effects of the implementation of artificial intelligence technologies in educational practice
Tokarchuk, Y. A., Rubtsova, O. V., & Tokarchuk, A. M. (2026) · Journal of Modern Foreign Psychology · doi:10.17759/jmfp.2026150201 · Cited by 1
Towards Application of Adaptive Instructional Systems in Simulation-Based Lifeboat Training Using Bayesian Networks
Torbati, R. Z., Smith, J., Billard, R., Emond, B., Barnes, J. G., & Veitch, B. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-34735-1_24 · Cited by 2
Agile Teaching: Automated Student Support and Feedback Generation
Bahrehvar, M., & Moshirpour, M. (2023) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie58773.2023.10343212 · Cited by 1
Automating Assessment within Intelligent Education
Ivanova, M., Ivanova, T., & Terzieva, V. T. (2024) · IEEE International Conference on Intelligent Systems · doi:10.1109/is61756.2024.10705174 · Cited by 1
The Collaborative Intelligent Mathematics Tutoring Agent Platform
Meng, H., Zhao, Q., Wang, X., Shen, J., Luo, Y., & Xie, F. (2024) · IEEE International Conference on Agents (ICA) · doi:10.1109/ica63002.2024.00041 · Cited by 2
Balancing Innovation with Ethics
Luise, R. S. A.-D., Arnau‐González, P., Serrano-Mamolar, A., Solera-Monforte, S., & Wu, Y. (2024) · Wiley eBooks · doi:10.1002/9781394257744.ch11 · Cited by 1
Smart Mathematics Tutor Using Machine Learning
M, R. G. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.45706
Intelligent Questionnaire Processing Information System for Precise Employment in Colleges based on Intelligent Interactive Testing Algorithm
Huang, P. (2022) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict54344.2022.9850863
Research on digital music course teaching assistant system based on computer application technology
Wei, L., Liu, W., & Liu, C. (2022) · International Conference on Mechanisms and Robotics (ICMAR) · doi:10.1117/12.2653069
WE NEED A CUMULATIVE AND SYSTEMIC APPROACH TO HANDLE AUTONOMOUS INTELLIGENT EDUCATIONAL SYSTEMS
BOECHAT, C. M., Quaresma, M., & Mont'Alvão, C. R. (2022) · Ergodesign & HCI · doi:10.22570/ergodesignhci.v10i2.1757
Research on Solving Text-Diagram Function Problems and Its Application in Tutoring System
Sun, H., & Yu, X. (2022) · International Conference on Intelligent Education and Intelligent Research (IEIR) · doi:10.1109/ieir56323.2022.10050062
Noi Metode De Predare Și Învățare Pentru Perioada Post-Pandemică
Yıldızhan, H., Yolcu, M., Udristioiu, M. T., Raykova, Z., Raganova, J., Stoyanova, D., Tsokov, G., Stoyanov, S., Hruska, M., Pfefferova, M. S., et al. (2023) · Akademisyen Kitabevi eBooks · doi:10.37609/akya.2498
Pandemi Sonrası Dönem için Yeni Öğretme ve Öğrenme Yöntemleri
Udriștioiu, M. T., Raykova, Z., Raganova, J., Yıldızhan, H., Stoyanova, D., Tsokov, G., Stoyanov, S., Hruska, M., Pfefferova, M. S., Petrışor, I., et al. (2023) · Akademisyen Kitabevi eBooks · doi:10.37609/akya.2499
Evaluating Spatial Visualization Learning Through Digitized Sketches: A Case Study of Engineering Students' Orthographic Projection Errors
Einde, L. V. D., Delson, N., Cowan, E., & Memarian, B. (2024) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--41636
The Study of Cardiology Through an Augmented Reality-Based System
Reyes-Ruiz, G. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-1123-3.ch010
Mapping the Intellectual Structure of e-Learning Tools Research: A Bibliometric Approach
Wijesekara, P. D. (2024) · International Journal of Social Science Technology and Economics Management · doi:10.59781/8609idmo
Strategies and Considerations of Implementing AI in Higher Education
Harthy, K. A., & Hasani, S. A. A. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-2145-4.ch011
DSBuilder-CJS: An Adaptive LMS Fuzzy Inference Powered, Based on Cognitive and Job Skills for Improving Job Effectiveness in a Mexican Local Government
Casillas, R. Q., & López, S. H. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00396-z
New Technologies and Artificial Intelligence in Italian Schools and the Impact on Teaching From an Ethical and Social Point of View
Bucci, L. (2024) · Advances in medical education, research, and ethics (AMERE) book series · doi:10.4018/979-8-3693-2667-1.ch005
A Virtual Visit to Museums Through Augmented Reality Is an Innovative Strategy to Increase Tourism
Reyes-Ruiz, G. (2024) · Advances in hospitality, tourism and the services industry (AHTSI) book series · doi:10.4018/979-8-3693-8115-1.ch014
AI and Digital Education
Pratschke, B. M. (2024) · Springer briefs in education · doi:10.1007/978-3-031-67991-9_1 · Cited by 2
The Design of Effective Tutoring Systems for University Students : A Comparative Study of Intelligent Tutoring Systems and Metaverse-Based Learning
Han, O. (2024) · The Journal of Korean Association of Computer Education · doi:10.32431/kace.2024.27.4.010 · Cited by 1
Usability of Intelligent System in Implementing Tutoring Lesson in Education: A Literature Review
Septo, J. S., Dinopol, J., Reyes, T. J. M. D., Santiago, C. S., & Cahapin, E. L. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-0147-9_18 · Cited by 1
Hotspots, evolution, and intellectual structure in feedback literacy research: A scientometric analysis (2012-2023)
Yan, Y. (2025) · Data Science and Informetrics · doi:10.1016/j.dsim.2025.07.001
La innovación asistida por inteligencia artificial en la Educación Superior: un análisis de las principales tendencias y líneas futuras
Cano, C. A. G., Castillo, V. S., & Zapata, E. M. J. (2025) · REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA · doi:10.24054/rcta.v2i46.3743 · Cited by 4
AI and the Future of Education
Wang, V., & Torrisi‐Steele, G. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2397-8.ch001 · Cited by 1
Adaptive Tutoring Goes to Sweden: Machine Translation and Alignment of English OERs to a Swedish Calculus Course
Kwak, Y., Dunder, N., Viberg, O., & Pardos, Z. A. (2025) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3698205.3729549
The role of artificial intelligence in medical microbiology education
Tiwade, Y. R., Bankar, N. J., Mankar, A., & Noman, O. (2025) · Reviews in Medical Microbiology · doi:10.1097/mrm.0000000000000429
Revisiting the studies on ChatGPT in higher institution language learning and future directions: A systematic literature review
Okafor, M. U., Shaoan, M. R., Arif, M., Namanyane, T., & Feng, M. (2025) · Kwartalnik Pedagogiczny · doi:10.31338/2657-6007.kp.2025-2.4
Intelligent Tutoring Systems: Comparative Analysis of Pedagogical Parameters and Deep Learning Model Selection for Skill Enhancement
Yabouri, H. E., Hibbi, F.-Z., & Abdoun, O. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07785-1_19
Do AI-related papers in top management science journals contribute greater academic influence and online attention?
Guo, L., Wang, Y., & Zhang, A. (2026) · The Electronic Library · doi:10.1108/el-04-2025-0154
Self-citation

Authors: Guo, L., Wang, D., Gu, F., Li, Y., Wang, Y., & Zhou, R.
Affiliations: University of Science and Technology of China (CN)
Anhui University (CN)
Corresponding author: Wang, Dong
Zhou, Rongting
ORCID: Guo, Lu
Wang, Dong
Gu, Fei
Li, Yazheng
Wang, Yezhu
Zhou, Rongting
Venue: Asia Pacific Education Review
Publisher: Springer Science and Business Media LLC
Published: 2021-05-04
Volume: 22
Issue: 3
Pages: 441-461
ISSN: 1598-1037 (ISSN-L)
1876-407X
DOI: 10.1007/s12564-021-09697-7
PMC: PMC8095475
OpenAlex: W3157169558
Cited by: 124
References: 132
Citations by year: 2026: 28 · 2025: 32 · 2024: 40 · 2023: 11 · 2022: 11 · 2021: 2
FWCI: 5.66
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Asia Pacific Education Review (publishedVersion)
PubMed Central (publishedVersion)
Funders: Anhui Provincial Quality Constructing Teaching Research Project (No: 2018jwxm0899)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Social Sciences › Education › Artificial Intelligence in Education
Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords: intelligent tutoring systems, research trends, research evolution, multidisciplinary research, interactive learning environment, student modeling, teaching and learning strategies, machine learning in education, Coh-Metrix, STEM education

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Evolution and trends in intelligent tutoring systems research: a multidisciplinary and scientometric view

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks