Development of an AI-Assisted Moodle Content Organization Training E-Module for Elementary School Teachers: An Analysis of Feasibility and Practicality

Kartikaningrum Kartikaningrum, Irfandi Maulana Firdaus, Kallista Lilian Shannon, Khaila Kurinia Dewi, M. Fachri Hazim Fikri, Muhammad Zaidan Zafhran, Yusnia Indah Zainurrohmah, Nunung Nindigraha, Eka Pramono Adi

Abstract


This study aims to analyze the feasibility of the AI-Assisted Moodle Content Organization Training E-Module for Elementary School Teachers based on evaluations by subject matter experts and media experts, as well as to analyze elementary school teachers’ practical responses to the use of the developed e-module. This Research and Development (R&D) study applied the ADDIE instructional design model (Analyze, Design, Develop, Implement, Evaluate). The research subjects consisted of one instructional content expert, one instructional media expert, and 16 teachers from SDN 1 Maguan and SDN 2 Maguan in a limited field trial. Data were collected using validation sheets and a user response questionnaire on a 1–5 Likert scale that was found to be reliable (α = 0.909), supplemented with open-ended items to gather qualitative feedback. Validation results showed a feasibility percentage of 92.31% from the content expert (Very Valid) and 96.67% from the media expert (Very Valid). The user response evaluation by elementary school teachers yielded an average score of M = 4.43 (SD = 0.631) with a percentage of 88.50% (Very Practical). Qualitative findings indicate that the structured AI prompting guidelines in the e-module make it easier for teachers to independently design child-friendly visual layouts in Moodle. Based on the expert evaluation results and user perceptions, this e-module has been proven to be highly feasible and practical for use as supplementary instructional material for training or as a self-paced learning guide for elementary school teachers.

Keywords


E-Training Modules, Moodle, Artificial Intelligence, Elementary School Teachers, the ADDIE Model

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References


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DOI: https://doi.org/10.18860/mad.v18i2.45570

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