Investigating Chatbot-Assisted Self-Regulated Learning of Basic Electrical Engineering: Effectiveness and Variations of Students’ Learning Outcomes

Hamonangan Tambunan , Efendi Napitupulu, Wanapri Pangaribuan

Universitas Negeri Medan

This study examines the effectiveness of a learning model for prospective electrical engineering teachers, who often encounter obstacles stemming from differences in school types and statuses. Their initial abilities do not support learning, so we develop a learning model to accommodate them and investigate their learning outcomes across groups by school origin and gender. The research design uses quantitative analysis of learning outcomes and chatbot usage, along with qualitative student feedback, in a mixed-methods approach. The study involved 159 students (6 classes) based on their school origin: school status (96 public, 63 private) and school type (106 senior high school, 53 vocational high school). There were 108 males and 51 females. We collected data through tests and questionnaires and analyzed it using ANOVA in IBM SPSS v26. We found no difference in students’ learning outcomes by origin school type and status, but females performed better than males. It is shown that Chatbot-assisted self-regulated learning is practical.

Article link: https://www.asianinstituteofresearch.org/EQRarchives/investigating-chatbot-assisted-self-regulated-learning-of-basic-electrical-engineering%3A-effectiveness-and-variations-of-students’-learning-outcomes