Artificial intelligence in multimodal learning analytics: a systematic literature review

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Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020

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A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

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Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks

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Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning

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AI in Education

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Hypergraph Learning: Methods and Practices

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From analytics to artificial intelligence

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Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018

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A review of automated feedback systems for learners: Classification framework, challenges and opportunities

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Benchmarking relief-based feature selection methods for bioinformatics data mining

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From signals to knowledge: A conceptual model for multimodal learning analytics

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Multimodal data capabilities for learning: What can multimodal data tell us about learning?

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Effects of real-time analytics-based personalized scaffolds on students’ self-regulated learning

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Multimodal learning analytics for game‐based learning

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Learning analytics and AI: Politics, pedagogy and practices

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The promise and challenges of multimodal learning analytics

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Multimodal Data Fusion in Learning Analytics: A Systematic Review

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Multimodal Engagement Analysis From Facial Videos in the Classroom

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A review on data fusion in multimodal learning analytics and educational data mining

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Learning theories for artificial intelligence promoting learning processes

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Editorial: Augmenting Learning Analytics with Multimodal Sensory Data

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

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Multimodal data to design visual learning analytics for understanding regulation of learning

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Multimodal Learning Analytics

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Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach

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Toward fairness in AI for people with disabilities SBG@a research roadmap

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An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspective

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Multimodal data indicators for capturing cognitive, motivational, and emotional learning processes: A systematic literature review

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Multimodal Learning Analytics research with young children: A systematic review

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The role of learning theory in multimodal learning analytics

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Deep Generative Models for Synthetic Data: A Survey

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Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI

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Integrating multiple data sources for learning analytics—review of literature

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

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Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms

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Research trends in multimodal learning analytics: A systematic mapping study

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The effectiveness of learning analytics for identifying at-risk students in higher education

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BIM and IoT data fusion: The data process model perspective

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Predicting regulatory activities for socially shared regulation to optimize collaborative learning

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Scalability, Sustainability, and Ethicality of Multimodal Learning Analytics

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Temporal analysis of multimodal data to predict collaborative learning outcomes

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Multimodal Learning Analytics: Rationale, Process, Examples, and Direction

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The End is the Beginning is the End: The closed-loop learning analytics framework

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A New Era in Multimodal Learning Analytics: Twelve Core Commitments to Ground and Grow MMLA

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The Evidence of Impact and Ethical Considerations of Multimodal Learning Analytics: A Systematic Literature Review

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Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-Wild

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A Review of Multimodal Learning Analytics Architectures

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Modelling collaborative problem-solving competence with transparent learning analytics

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Vygotsky's Sociocultural Theory

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Multimodal learning analytics—In‐between student privacy and encroachment: A systematic review

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Challenges and opportunities of multimodal data in human learning: The computer science students' perspective

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EMODA

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Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

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Detecting non-verbal speech and gaze behaviours with multimodal data and computer vision to interpret effective collaborative learning interactions

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Using multimodal learning analytics to model students’ learning behavior in animated programming classroom

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Keep Me in the Loop: Real-Time Feedback with Multimodal Data

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Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation

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Academic development of multimodal learning analytics: a bibliometric analysis

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Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources

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Multimodal learning analytics’ past, present, and, potential futures

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Predicting Behavior Change in Students With Special Education Needs Using Multimodal Learning Analytics

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Detecting Drowsy Learners at the Wheel of e-Learning Platforms With Multimodal Learning Analytics

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Early Prediction of Visitor Engagement in Science Museums with Multimodal Learning Analytics

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Gesture and Gaze: Multimodal Data in Dyadic Interactions

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Recognitions of image and speech to improve learning diagnosis on STEM collaborative activity for precision education

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Research on recognition of students attention in offline classroom-based on deep learning

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Early insights into Piaget’s cognitive development model through the lens of the Technologies curriculum

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Identifying Collaborative Learning States Using Unsupervised Machine Learning on Eye-Tracking, Physiological and Motion Sensor Data.

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Predicting the Quality of Collaborative Problem Solving through Linguistic Analysis of Discourse.

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Using Motion Sensors to Understand Collaborative Interactions in Digital Fabrication Labs

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AI-Assisted Co-Creation

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Ten Opportunities and Challenges for Advancing Student-Centered Multimodal Learning Analytics

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Applications of Explainable AI (XAI) in Education

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Detecting Impasse During Collaborative Problem Solving with Multimodal Learning Analytics

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Quantifying Collaboration Quality in Face-to-Face Classroom Settings Using MMLA

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How do Teachers Use Open Learning Spaces? Mapping from Teachers’ Socio-spatial Data to Spatial Pedagogy

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Multimodal Teaching and Learning Analytics for Classroom and Online Educational Settings

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Developing a Multimodal Classroom Engagement Analysis Dashboard for Higher-Education

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Student Performance Prediction with Eye-Gaze Data in Embodied Educational Context

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Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning

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Mapping from proximity traces to socio‐spatial behaviours and student progression at the school

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CVPE: A Computer Vision Approach for Scalable and Privacy-Preserving Socio-spatial, Multimodal Learning Analytics

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Scaffolding Feedback Literacy: Designing a Feedback Analytics Tool with Students

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Multimodal Data Fusion to Track Students’ Distress during Educational Gameplay

Moon, J., Ke, F., Sokolikj, Z., & Dahlstrom‐Hakki, I. (2022) · Journal of Learning Analytics · doi:10.18608/jla.2022.7631 · Cited by 16 · see citing works

A Learning Analytics Framework Based on Human-Centered Artificial Intelligence for Identifying the Optimal Learning Strategy to Intervene in Learning Behavior

Zhao, F., Liu, G.-Z., Zhou, J., & Yin, C. (2023) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.30191/ets.202301_26(1).0010 · Cited by 16 · see citing works

Multimodal learning analytics for assessing teachers’ self-regulated learning in planning technology-integrated lessons in a computer-based environment

Huang, L., Doleck, T., Chen, B., Huang, X., Tan, C., Lajoie, S. P., & Wang, M. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11804-7 · Cited by 15 · see citing works

"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers

Alfredo, R., Nie, L., Kennedy, P. J., Power, T., Hayes, C., Chen, H., McGregor, C., Swiecki, Z., Gašević, D., & Martínez‐Maldonado, R. (2023) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3576050.3576058 · Cited by 14 · see citing works

Speech analysis of teaching assistant interventions in small group collaborative problem solving with undergraduate engineering students

D’Angelo, C. M., & Rajarathinam, R. J. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13449 · Cited by 14 · see citing works

Deep auto encoder based on a transient search capsule network for student performance prediction

Rahul, & Katarya, R. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-14083-5 · Cited by 14 · see citing works

Multimodal Predictive Student Modeling with Multi-Task Transfer Learning

Emerson, A., Min, W., Rowe, J., Azevedo, R., & Lester, J. C. (2023) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3576050.3576101 · Cited by 14 · see citing works

Blending learning analytics and embodied design to model students’ comprehension of measurement using their actions, speech, and gestures

Closser, A. H., Erickson, J. A., Smith, H., Varatharaj, A., & Botelho, A. F. (2021) · International Journal of Child-Computer Interaction · doi:10.1016/j.ijcci.2021.100391 · Cited by 13 · see citing works

Real-Time Multimodal Emotion Classification System in E-Learning Context

Nandi, A., Xhafa, F., Subirats, L., & Fort, S. (2021) · Proceedings of the international neural networks society · doi:10.1007/978-3-030-80568-5_35 · Cited by 11 · see citing works

How to Aggregate Lesson Observation Data into Learning Analytics Datasets

Eradze, M., Rodríguez‐Triana, M. J., & Laanpere, M. (2017) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 10 · see citing works

Design of an Online Education Evaluation System Based on Multimodal Data of Learners

Peng, Q., Qie, N., Yuan, L., Chen, Y., & Gao, Q. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22580-3_34 · Cited by 10 · see citing works

Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics

van Haastrecht, M., Brinkhuis, M., & Spruit, M. (2024) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-64299-9_5 · Cited by 9 · see citing works

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning

Yan, L., Gašević, D., Echeverría, V., Jin, Y., Zhao, L., & Martínez‐Maldonado, R. (2025) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3706468.3706476 · Cited by 9 · see citing works

WEDAR: Webcam-based Attention Analysis via Attention Regulator Behavior Recognition with a Novel E-reading Dataset

Lee, Y., Chen, H., Zhao, G., & Specht, M. M. (2022) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3536221.3556619 · Cited by 8 · see citing works

Exploring Indicators for Collaboration Quality and Its Dimensions in Classroom Settings Using Multimodal Learning Analytics

Chejara, P., Prieto, L. P., Rodríguez‐Triana, M. J., Ruiz‐Calleja, A., Kasepalu, R., Chounta, I., & Schneider, B. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-42682-7_5 · Cited by 8 · see citing works

TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions

Mozafari, J., Jangra, A., & Jatowt, A. (2024) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3626772.3657855 · Cited by 7 · see citing works

Navigating the ethical landscape of multimodal learning analytics: a guiding framework

Alwahaby, H., & Cukurova, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18851-0.00014-7 · Cited by 7 · see citing works

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

van Breugel, B., Seedat, N., Imrie, F., & Schaar, M. V. D. (2023) · neural information processing systems · doi:10.52202/075280-0091 · Cited by 7 · see citing works

Automated Detection of Students’ Gaze Interactions in Collaborative Learning Videos: A Novel Approach

Zhou, Q., Bhattacharya, A., Suraworachet, W., Nagahara, H., & Cukurova, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-42682-7_34 · Cited by 6 · see citing works

Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics

Chejara, P., Prieto, L. P., Rodríguez‐Triana, M. J., Ruiz‐Calleja, A., & Khalil, M. (2023) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3576050.3576143 · Cited by 5 · see citing works

A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues

Som, A., Kim, S., Lopez-Prado, B., Dhamija, S., Alozie, N. M., & Tamrakar, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-65414-6_8 · Cited by 5 · see citing works

Supporting And Humanising Behavioural Change without the Behaviourism: Digital Footprints, Learning Analytics and Nudges

Payne, A. L., Compton, M., & Kennedy, S. (2023) · Postdigital science and education · doi:10.1007/978-3-031-31875-7_7 · Cited by 4 · see citing works

CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions

Shankar, S. K., Ruiz‐Calleja, A., Prieto, L. P., Rodríguez‐Triana, M. J., Chejara, P., & Tripathi, S. (2023) · JUCS - Journal of Universal Computer Science · doi:10.3897/jucs.84558 · Cited by 4 · see citing works

Neural Deep Learning Models for Learning Analytics in a Digital Humanities Laboratory

Cebral-Loureda, M., & Torres-Huitzil, C. (2021) · Machine Learning-Driven Digital Technologies for Educational Innovation Workshop · doi:10.1109/ieeeconf53024.2021.9733775 · Cited by 4 · see citing works

A SYSTEMATIC REVIEW OF MULTIMODAL LEARNING ANALYTICS DESIGN MODELS AND FRAMEWORKS

Ouhaichi, H., Spikol, D., & Vogel, B. (2024) · EDULEARN proceedings · doi:10.21125/edulearn.2024.1299 · Cited by 4 · see citing works

A Literature Review of Data-Driven Multimodal Learning Analytics in Education Based on Citespace

Deng, J., & Zhao, Y. (2022) · International Conference on Educational Technology Management (ICETM) · doi:10.1145/3582580.3582646 · Cited by 3 · see citing works

Prediction of Students’ Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment

Vatral, C., Lee, M., Cohn, C., Davalos, E., Levin, D. T., & Biswas, G. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-36336-8_41 · Cited by 3 · see citing works

Data Fusion in Classroom-Based Multimodal Learning Analytics: A Systematic Literature Review

Wang, Y., & Gu, X. (2024) · Proceedings. · doi:10.22318/icls2024.626650 · Cited by 3 · see citing works

MILKI-PSY Cloud : Facilitating multimodal learning analytics by explainable AI and blockchain

Słupczyński, M., & Klamma, R. (2021) · CEUR Workshop Proceedings · doi:10.18154/rwth-2022-01582 · Cited by 3 · see citing works

Emotion Recognition from Physiological Sensor Data to Support Self-regulated Learning

Yun, H., Fortenbacher, A., Helbig, R., Geißler, S., & Niels Pinkwart, C. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-58459-7_8 · Cited by 2 · see citing works

Methodological Considerations for Understanding Students’ Problem Solving Processes and Affective Trajectories During Game-Based Learning: A Data Fusion Approach

Israel, M., Liu, T., Moon, J., Ke, F., & Dahlstrom‐Hakki, I. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-77414-1_15 · Cited by 2 · see citing works

EngageDat-vL: A Multimodal Engagement Dataset Comprising of Emotional, Cognitive, and Behavioral Cues in Virtual Learning Environment

Akre, S., Palandurkar, N., Iyengar, A., Chayande, G., & Kumar, P. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-45170-6_28 · Cited by 2 · see citing works

Recognition of Students’ Multiple Mental States in Conversation Based on Multimodal Cues

Peng, S., Ohira, S., & Nagao, K. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-86439-2_24 · Cited by 1 · see citing works

Deep Learning Based Audio-Visual Emotion Recognition in a Smart Learning Environment

Ivleva, N., Pentel, A., Dunajeva, O., & Juštšenko, V. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-51979-6_44 · Cited by 1 · see citing works

Behavior-based Feedback Loop for Attentive E-reading (BFLAe): A Real-Time Computer Vision Approach

Lee, Y. (., Migut, M., & Specht, M. M. (2023) · Research Repository (Delft University of Technology) · Cited by 1 · see citing works

Enhancing online learning by integrating biosensors and multimodal learning analytics for detecting and predicting student behaviour: a review

Becerra, Á., Cobos, R., & Lang, C. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2562322 · Cited by 14 · see citing works

Leveraging Artificial Intelligence Technology for Mapping Publications to Sustainable Development Goals

Yin, H., Aryani, A., Lambert, G. W., Wu, Z., Nambiar, N. M., White, M. R., Salvador‐Carulla, L., Sadiq, S. W., Sojli, E., Boddy, J., et al. (2025) · Array · doi:10.1016/j.array.2025.100419 · Cited by 10 · see citing works

Applications of Artificial Intelligence ( AI ) in Business Entrepreneurship and Start‐Ups: A Systematic Literature Review and Bibliometric Analysis

Aquino, P. G., Jr., Kumar, M., Yadav, M., Amoah, J. O., Muvingi, J., & Jibril, A. B. (2026) · Applied AI Letters · doi:10.1002/ail2.70031 · Cited by 8 · see citing works

Surgical education reimagined: the convergence of learning theories and artificial intelligence

Lee, F., & Wong, S. W. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08039-0 · Cited by 7 · see citing works

Culturally Adaptive Integration of Generative AI in Film Production and Education

Yao, Y., & Xu, G. (2025) · International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI) · doi:10.1109/iotaai66837.2025.11213286 · Cited by 6 · see citing works

Amplifier and Risk: Extending the Community of Inquiry (CoI) for Student AI Use

Baksh, S. (2025) · Review of Artificial Intelligence in Education · doi:10.37497/rev.artif.intell.educ.v6ii.57 · Cited by 4 · see citing works

A multimodal AI framework for real-time student engagement detection and adaptive feedback in higher education

Dan, Z., Yali, Z., & Tong, Z. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-00639-0 · Cited by 4 · see citing works

Edge AI-Enabled Real-Time Learning Analytics for Scalable and Privacy-Aware E-Learning Platforms

Nasar, M., Azri, R. H. A., & Batahari, M. A. S. A. (2026) · International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC) · doi:10.1109/icauc68182.2026.11441257 · Cited by 4 · see citing works

DUA — Desenho Universal para a Aprendizagem Integrado à Inteligência Artificial na Educação Inclusiva

Reis, E. D. S. (2025) · Educação & Inovação · doi:10.64326/educao.v1i15.204 · Cited by 3 · see citing works

Using AI for the Personalization of Mathematics and Science Education in Students

Mardianingsih, T., Permana, D., Armiati, & Harisman, Y. (2025) · Jurnal Penelitian Pendidikan IPA · doi:10.29303/jppipa.v11i11.12557 · Cited by 2 · see citing works

An AI-Powered Adaptive Learning Framework for Personalized Education

Sendeku, H. A., Daniel, R., & Gopa, G. V. (2025) · Information Dynamics and Applications · doi:10.56578/ida040403 · Cited by 2 · see citing works

Deploying Generative-AI-Powered Multimodal Intelligence for Bespoke English Language Instruction: A Cross-Disciplinary Case Study in 21st-Century Higher Education

Raj, D. S. P., Anuradha, D. G., Kavitha, V., Shalini, K., Steffi, R., & Mathew, D. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-17300-3_14 · Cited by 2 · see citing works

When ChatGPT joins the team: a mixed-methods study of AI-mediated collaborative lesson design

Agostini, D., Serbati, A., Picasso, F., & Lipnevich, A. A. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1751618 · Cited by 2 · see citing works

A systematic review of generative AI in higher education learning analytics and decision support

Razami, H. H., Singh, A. D., Sampedro, G. A. R., Kovilpillai, J. J. S., Raza, F. A., Anwar, R., Hamdan, A., & Konno, F. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01888-8 · Cited by 2 · see citing works

Fostering the moral self in the age of algorithms: an Islamic ethical framework for Artificial Intelligence in education

Yusgiantara, A. (2026) · Ethics and Education · doi:10.1080/17449642.2026.2703052 · Cited by 2 · see citing works

AI-Powered Professional Communication: Real-Time Multimodal Analysis Dashboard

Gullapalli, V. (2025) · European Modern Studies Journal · doi:10.59573/emsj.9(4).2025.69 · Cited by 1 · see citing works

Multimodal Data Integration for Assessing Learner Alertness

Torres-Rodríguez, S. N., Morán-Mirabal, L. F., & Ruiz-Ramírez, J. A. (2025) · World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC) · doi:10.1109/weef-gedc66748.2025.11256229 · Cited by 1 · see citing works

Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations

Ding, Y., Shalaby, M., Singh, N. S. S., & Alfilh, R. H. C. (2025) · Scientific Reports · doi:10.1038/s41598-025-31954-7 · Cited by 1 · see citing works

A Video-Based Action Recognition Intelligent Assessment System for Art Education: A Case Study on Fundamentals of Sketching

Sun, T. (2025) · International Symposium on Artificial Intelligence for Education (ISAIE) · doi:10.1145/3775073.3775177 · Cited by 1 · see citing works

INTERNET OF EDUCATIONAL THINGS AND MACHINE LEARNING

Yousefi, S., Najjar-Ghabel, S., Yousefimehr, B., Kozhanov, M. G., Nabipour, N., & Amirov, A. (2026) · Eurasian Journal of Mathematical and Computer Applications · doi:10.32523/2306-6172-2026-14-1-95-110 · Cited by 1 · see citing works

Multimodal AI and Telemedicine in Remote Health Monitoring

Kannadasan, K. (2026) · Springer eBooks · doi:10.1007/978-981-95-9027-8_12 · Cited by 1 · see citing works

Artificial Intelligence Literacy Among Teachers: An ABCE Framework Approach to Educational Management and Institutional Development

Pardillo, C., Cabido, M., Ibanada, L., Quisera, R., Capuyan, D. L., Lumantas, B. C., & Aventuna, M. (2026) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2026.v08i03.77949 · Cited by 1 · see citing works

Multimodal Assessment of Student Engagement by Fusing EEG, Facial Expressions, and Body Posture in an Offline Classroom

Song, M., Sudiarta, I. G. P., Nitiasih, P. K., Riastini, P. N., Wang, Z., & Chai, J. (2026) · International Journal of Modern Education and Computer Science · doi:10.5815/ijmecs.2026.03.12 · Cited by 1 · see citing works

Beyond tutoring: a child-centered AI framework for embodied construction in culturally-grounded steam education

Wuwen, Z., Yu, H., Xia, M., Yang, M., & Ja, J. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14030-z · Cited by 1 · see citing works

Responsible use of generative AI in Chinese vocational education: eye-tracking evidence on source verification and immediate near-transfer across three information-seeking conditions

Ma, J., Yue, H., & Li, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1946196

Multimodal Sensing Arrays for Comprehensive Health Monitoring and Disease Management

Mahato, K., & Roy, N. (2025) · Springer eBooks · doi:10.1007/978-981-95-2117-3_10

Pensamiento Computacional 5.0: La Nueva Brújula para Transformar la Enseñanza Universitaria en la Era de la Inteligencia Artificial

Universidad Estatal de Milagro, M., & Arce, J. M. C. (2025) · Polo del Conocimiento · doi:10.23857/pc.v10i10.10614

In the Age of AI

Çiftçi, A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6375-2.ch010

IA, mundos inmersos y el futuro de la educación

Castillo, V. S., Navia, J. M. A., & Zapata, E. M. J. (2025) · doi:10.70165/cici.117

Pemanfaatan Artificial Intelligence (AI) dalam Mendukung Pengembangan Soft Skill dan Kepribadian di Dunia Kerja

Sa’adah, D. Z., Zaldi, F., Ramadhan, S., Lanye, R. N., Akbar, D. R., & Pratama, D. Z. (2025) · Jurnal Bisnis Kreatif dan Inovatif. · doi:10.61132/jubikin.v2i4.1069

AI-Driven Multimodal Framework for Student Engagement Detection in Sustainable Distance Learning: Models and Green AI Perspectives

Chate, P. J., Patil, K. R., Ansari, N., Jagdhane, S., & Bhole, S. (2025) · Advances in intelligent systems research/Advances in Intelligent Systems Research · doi:10.2991/978-94-6463-948-3_59

Contextual Fusion Strategies for Multimodal GNN-Based Reasoning: Performance and Computational Trade-Offs

Yun, S., Masukawa, R., Hassan, R., Na, M., & Imani, M. (2026) · IEEE Access · doi:10.1109/access.2026.3653660

BEYOND THE ALGORITHM ON HOW AI WILL REDEFINE HUMAN PROGRESS: FROM DIRECTION TO EMPOWERMENT

Noor, W. H. M., Hanafi, H. F., Rufin, S. M. M., & Hamazah, A. H. (2025) · Journal of Information System and Technology Management · doi:10.35631/jistm.1041003

Cultivating a Sustainable Reading Culture in the Digital Age: The Librarian’s Role, Technology and Tradition

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AI & ML - Frontiers in Cross Disciplinary Applications & Case Studies

Sridaran, R., & Priti, S. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-17300-3

AI Enables College Physics Teaching: A Multimodal Path Study from Conceptual Representation to Thinking Structure

塔, 伊. (2026) · Advances in Education · doi:10.12677/ae.2026.163588

Teachers, Students, and Thinking Machines: Rethinking the Role of Artificial Intelligence in Higher Education

Velasco-Gómez, A. (2026) · Journal of Hunan University Natural Sciences · doi:10.55463/issn.1674-2974.53.3.4

T-HumorAGSA: A Gated Anchor-Guided Self-Attention Model for Classroom Teacher Humor Language Detection

Cao, J., Wu, Y., & Guolian, C. (2026) · Information · doi:10.3390/info17040323

Reflection on the construction and impact of an adaptive learning ecosystem

Zhang, H. (2024) · theses.fr (ABES) · doi:10.70675/6e06e038zed00z43b0za02cz14be0f3d8897

Generative Artificial Intelligence (GenAI) in Language Education: Current Trends and Perspectives

Bui, T. T. T., & Hoa, C. T. H. (2026) · Studies in computational intelligence · doi:10.1007/978-3-032-18392-7_1

Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education

Ito, H., Hsu, C.-Y., & Ogata, H. (2026) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3785022.3785026

Digital Narratives And Machine Learning For Personalized Learning Recommendations In Transnational Educational Contexts

Rasyid, R., Bhahri, S., & Hamria, H. (2026) · International Journal of Educational Narratives · doi:10.70177/ijen.v4i1.3476

An Intelligent Evaluation Model for English Classroom Interaction Quality Based on Multimodal Data

Liu, Y. (2026) · Ingegneria Sismica · doi:10.65102/is2026809

A Multimodal Representation Learning Framework for Molecular Graph and NMR Spectrum Alignment

Li, X., Wang, X., Liu, Z.-M., Liu, J.-B., & Huang, X. (2026) · Entropy · doi:10.3390/e28050532

An AI-Driven Multi-Modal Framework for Creative Game Design Education

Chen, Z.-M. (2025) · International Conference on Education and E-Learning (ICEEL) · doi:10.1145/3789859.3789923

A Multimodal Temporal Diagnostic and Personalized Intervention Framework for Sustainable Teacher Preparation: Evidence from TPACK Development in Pre-Service Kindergarten Teachers

Hu, L., & Nasir, M. K. M. (2026) · Sustainability · doi:10.3390/su18104766

AI-Based Adaptive Career Guidance for Sustainable Transformation in TVET Education

Sari, N. P., Putro, H. Y. S., & Assyauqi, M. I. (2026) · Journal of Artificial Intelligence and Technology · doi:10.37965/jait.2026.1074

Benchmarking consumer behaviour using the generative AI: a systematic review and theoretical critique

Ghosh, S., & Raman, R. (2026) · Benchmarking An International Journal · doi:10.1108/bij-12-2025-1147

Multimodality across epistemologies in second language research

Chen, M., & Lu, Q. (2026) · Social Semiotics · doi:10.1080/10350330.2026.2680227

Opening the Black Box: Visual Analytics of a Cognition-Guided Multimodal Fusion Model for Classroom Engagement Assessment

Song, M., Wang, Z., & Chai, J. (2026) · Higher education and practice. · doi:10.62381/h261305

Multimodal transformer models for real-time estimation of indoor environmental quality in educational settings

Faubel, C., Mowen, D., Miri, M., Alban, U. D., Martínez-Molina, A., & Alamaniotis, M. (2026) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-01-2026-0069

Robust Multi-document Localization for Multimodal Intelligent Tutoring Systems

Deng, J., Zhu, X., Liu, Z., & Luo, W. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-29788-4_42

Automated Analysis of Educational Data: Impact of AI in Management Decisions in Higher Education Institutions

Лесіна, Є. В., Kyrychenko, V., Kalinichenko, O., Bilyk, O., & Khrapatyi, S. (2026) · African Journal Of Applied Research · doi:10.26437/8f05s837

Modelling of computational thinking automated assessment

Masiulionytė-Dagienė, V. (2026) · doi:10.15388/vu.thesis.938

From Mud to Megabytes: A Narrative Journey of Digital Transformation and Data Management Resilience at SD Negeri Tambakrejo 03 Semarang

Setianingsih, W. Y., Nurkolis, N., Prayito, M., & Waewchimplee, W. (2026) · International Journal of Educational Narratives · doi:10.70177/ijen.v4i3.3530

AI-Assisted Language Development for Children With Autism and Disabilities

Ulandari, D., & Sekti, B. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7724-7.ch010

Deep Learning Models for Measuring Affective Outcomes in Islamic Religious Education

Maemunah, M., Maryam, S., Tamimi, M. T., Mashuri, S., & Afandi, A. (2026) · JPI Jurnal Pustaka Indonesia · doi:10.62159/jpi.v6i2.2441

Generative AI-supported Deep Integration Assessment and Support Strategies for Curriculum Ideological and Political Education

蔡钦林, Xiang, Y., & Zhan, F. (2026) · Global Education Bulletin · doi:10.71052/grb2025/zxro4406

AI-powered comics as pedagogical tools: Improving Javanese script reading skills in higher education

Insani, N., Fuadhiyah, U., Prasetyo, D. A. A., Kholiq, Y. N., & Utami, E. S. (2026) · Multidisciplinary Science Journal · doi:10.31893/multiscience.2027128

Understanding Student Experiences with NotebookLM: A Qualitative Study

Alshardan, M. M., Alturki, N. M., Alturki, S., & Kuhail, M. A. (2026) · International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS) · doi:10.1109/icadeis71120.2026.11644566

A grounded theory study in blended learning of the facilitation of role transition from compliant learners to collaborative partners regarding non-verbal behavior

Fan, H., Shao, S., Pan, S., & Wang, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1871082

Emotion-related responses in VR classroom simulations: An AI-based analysis of preservice teachers’ conflict management

El-Yamri, M., Valdivia, I. M. Á., & Manero, B. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14140-8

An LLM-enhanced Framework for Assessing Student Knowledge Mastery in Software Engineering Education

Dou, W., Ma, K., & Li, Z. (2026) · IEEE International Conference on Software Services Engineering (SSE) · doi:10.1109/sse72781.2026.00049

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