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Easy JavaScript Simulation (EJSS) Data Analytics for Singapore

Physics Education 2024-01-23 v2 Data Analysis, Statistics and Probability

Abstract

We have integrated Easy JavaScript Simulation (EJSS) Data Analytics into the national Learning Management System for Singapore schools, known as the Singapore Student Learning Space (SLS). EJSS Data Analytics enhances the teaching and learning experience for educators and students by enabling educators to monitor and evaluate students interactions with interactive computer simulations. The data analytics and visualisation capabilities are delivered using the Moodle platform and version 1.3 of the specifications for Learning Tools Interoperability (LTI). In this paper, we showcase the potential for EJSS Data Analytics to identify students learning difficulties and misconceptions. Four examples of EJSS Data Analytics applications are provided to illustrate insights on aspects that include understanding a students sequential actions leading to specific task outcomes, the frequency of task attempts by each student, and the ratio of students achieving correct versus incorrect task completions. We identify five key considerations for designing the EJSS teacher dashboard. These considerations relate to Student Thought Process, Student Behaviour, Student Engagement, Student Choice, and Teacher Feedback. These five facets provide a framework for aligning our design efforts with the needs of students and teachers, also drawing upon research in data analytics for education.

Cite

@article{arxiv.2401.09676,
  title  = {Easy JavaScript Simulation (EJSS) Data Analytics for Singapore},
  author = {Loo Kang Wee and Darren Tan and Félix Jesús Garcia Clemente and Francisco Eequembre},
  journal= {arXiv preprint arXiv:2401.09676},
  year   = {2024}
}

Comments

10 pages, 13 figures, 26th International Conference on Multimedia in Physics Teaching and Learning (MPTL'26)