Show source-provided references
3. A review on data fusion in multimodal learning analytics and educational data mining
10.1002/widm.1458 ↗4. The use of eye tracking technology to explore learning and performance within virtual reality and mixed reality settings: A scoping review
10.1080/10494820.2019.1702560 ↗5. Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
10.1016/j.eswa.2023.122997 ↗7. Capturing patterns of learners’ self-regulatory interactions with instructional material during game-based learning with auto-recurrence quantification analysis
10.3389/fpsyg.2022.813677 ↗8. Exploring multiuser virtual teaching simulation as an alternative learning environment for student instructors
10.1007/s11251-021-09555-4 ↗9. Sáiz-Manzanares, M.C., and Marticorena-Sánchez, R. (2024). Manual for the Development of Self-Regulated Virtual Laboratories, Servicio de Publicaciones de la Universidad de Burgos.
10. The Impact of Contextualized Emotions on Self-Regulated Learning and Scientific Reasoning during Learning with a Game-Based Learning Environment
10.1007/s40593-019-00191-1 ↗11. How Does Prior Knowledge Influence Eye Fixations and Sequences of Cognitive and Metacognitive SRL Processes during Learning with an Intelligent Tutoring System?
10.1007/s40593-018-0165-4 ↗12. The effect of portfolio-based education and evaluation on clinical competence of nursing students: A pretest–posttest quasiexperimental crossover study
10.2147/AMEP.S231760 ↗13. Flipped laboratory classes: Student performance and perceptions in undergraduate food science and technology
10.1111/1541-4329.12235 ↗14. A three-step model for the gamification of training and automaticity acquisition
10.1111/jcal.12539 ↗15. Introducing support for learner control: Temporal and organizational cues in instructional videos
10.1111/bjet.13408 ↗17. Frasson, C., Mylonas, P., and Troussas, C. (2023). Distraction Detection and Monitoring Using Eye Tracking in Virtual Reality. Augmented Intelligence and Intelligent Tutoring Systems, Springer Nature.
10.1007/978-3-031-32883-1 ↗19. Lee, B.-C., Choi, J., Ahn, J., and Martin, B.J. (2024). The different contributions of the eight prefrontal cortex subregions to reactive responses after unpredictable slip perturbations and vibrotactile cueing. Front. Hum. Neurosci., 17.
10.3389/fnhum.2023.1236065 ↗21. Direct voluntary control of pupil constriction and dilation: Exploratory evidence from pupillometry, optometry, skin conductance, perception, and functional MRI
10.1016/j.ijpsycho.2021.08.001 ↗25. Analysing domain-specific problem-solving processes within authentic computer-based learning and training environments by using eye-tracking: A scoping review
10.1186/s40461-023-00140-2 ↗26. Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data
10.1016/j.chb.2022.107540 ↗28. Mu, S., Cui, M., and Huang, X. (2020). Multimodal Data Fusion in Learning Analytics: A Systematic Review. Sensors, 20.
10.3390/s20236856 ↗30. Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: A COVID-19 cohort study
10.1038/s41746-024-01128-2 ↗33. Measuring cognitive load in augmented reality with physiological methods: A systematic review
10.1111/jcal.12882 ↗35. Interaction recognition and intervention based on context feature fusion of learning behaviors in interactive learning environments
10.1080/10494820.2021.1871632 ↗37. Hernández Armenteros, J., Pérez-García, J.A., and Furió Párraga, B. (2019). La Universidad Española en cifras. Informe 2017/2018, CRUE. Available online: https://www.crue.org/wp-content/uploads/2020/02/UEC-1718_FINAL_DIGITAL.pdf.
38. Campbell, D.F. (2005). Diseños Experimentales y Cuasiexperimentales en la Investigación Social [Experimental and Quasiexperimental Designs for Research], Amorrortu. [9th ed.].
39. Pallant, J. (2016). SPSS Survival Manual, Open University Press. [6th ed.].
40. IBM Corp. (2024). SPSS Statistical Package for the Social Sciences (SPSS), IBM Corp.. [28th ed.].
41. Orange: Data Mining Toolbox in Python