Current Issue
Volume 16, Issue 1
Page 1-116
March, 2026
RESEARCH ARTICLE
- The Impact of eXplainable AI (XAI) on Educational Effectiveness: An Empirical Study Based on Samples from a Private University in Xiamen, China
Against the backdrop of AI reshaping core educational mechanisms, AI has advanced personalized instruction while revealing inherent limitations in situational awareness and value trade-offs. Existing research has focused heavily on ......
- Metacognitive Experiences in a Web-Based Cognitive Bias Learning Program: A Study of Collaborative Researchers in Science and Engineering
In contemporary science and engineering, where collaboration has become the norm, researchers’ cognitive biases may hinder rational decision-making. This study aimed to develop a web-based learning program to support awareness of ......
- Exploring Learning Changes through Generative AI–Based Simulation Construction Activities for Acid–Base Equilibrium: A Focus on Academic Achievement and STEAM Competencies
This study explored the potential of generative artificial intelligence–based simulation construction activities to facilitate changes in students’ academic achievement and STEAM competencies in chemistry. The study was conducted with ......
- Development and Validation of a Human-inthe-Loop (HITL) Model for AI-Based Automatic Item Generation in the CSAT Korean Reading Section
This study develops and validates a Human-in-the-Loop (HITL) model for generative AI-based Automatic Item Generation (AIG) of College Scholastic Ability Test (CSAT) Korean reading items. As a high-stakes assessment of higher-order thinking, ......
- A Study on the Possibility of Replacing Holistic Evaluation with Linguistic Feature Assessment in Essay Evaluation
This study investigated the relationship between the linguistic features of English essays and the holistic evaluations conducted by non-native Korean teachers of English, while also examining the applicability of automated essay scoring. ......
- Analysis of Brain Activity and Mask-Wearing Behavior in Middle School Students Following High-Concentration Fine Dust Education: An fNIRS Study
This study aimed to neuroscientifically examine whether brain activity measured by functional near-infrared spectroscopy (fNIRS) during high-concentration fine dust education predicts actual mask-wearing behavior more accurately than self-reported ......