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5 July 2024 A model design of learner state change in E-learning platform based on finite state machine
Manru Gao, Elcid ASerrano
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Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131845D (2024) https://doi.org/10.1117/12.3032959
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
With the popularity of online learning, it is becoming more and more important to evaluate and monitor the learning status of online learners. Understanding the learning status of learners helps educators provide personalized support and guidance to improve the effectiveness and quality of online learning. By analyzing the behavior logs of learners in the well-known open source E-learning system (MOODLE) and combining the learning theories of Gagne and Waldorf education, this study designed a model based on finite state automata to simulate the process of learning state transition of online learners. By describing the state set, input data, state transition function, initial state and termination state set in the designed model in detail, this study provides feasible ideas for E-learning platform to optimize teaching strategies and provide personalized learning support, so as to help learners achieve learning goals more effectively. The application of this model is expected to provide targeted guidance for online learning platforms and improve learners' learning experience and learning outcomes.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Manru Gao and Elcid ASerrano "A model design of learner state change in E-learning platform based on finite state machine", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131845D (5 July 2024); https://doi.org/10.1117/12.3032959
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KEYWORDS
Online learning
Data modeling
Emotion
Analytical research
Mathematical modeling
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