Educators evaluate student knowledge using knowledge component (KC) models that map assessment questions to KCs. Still, designing KC models for large question banks remains an insurmountable challenge for instructors who need to analyze each question by hand. The growing use of Generative AI in education is expected only to aggravate this chronic…

This article describes an unexpected playground experience that occurred between the author, a reading educator and former middle grades teacher, and his six-year-old granddaughter. The experience became the inspiration and impetus to provide an introduction to, and a rationale for, the concept of text clusters to middle grades teachers. The…

The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…

In a longitudinal interview-based study of racial-minority students of low-income or working-class origin at an elite private university in the United States, we examine how class and race co-determine students' friendship-making patterns. We advance previous research in college students' friendship-making by applying a dual lens of…

This paper aims to map the level of emotional intelligence (EI) among Czech university students. The questionnaire survey conducted among 161 Czech students in December 2023 was based on Goleman's EI test. He divided EI into five essential competencies: self-awareness, managing emotions, motivating oneself, empathy and social skills. Using cluster…

Knowledge tracing models have enabled a range of intelligent tutoring systems to provide feedback to students. However, existing methods for knowledge tracing in learning sciences are predominantly reliant on statistical data and instructor-defined knowledge components, making it challenging to integrate AI-generated educational content with…

Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of multimodal data sources -- including eye-tracking data, learning outcomes, assessment content, and teaching…

Engagement is essential for improving academic outcomes, especially in technology-enhanced learning (TEL) environments where self-regulated learning is critical. This study investigated the longitudinal impacts of different levels of engagement on undergraduate students' short-term and long-term academic outcomes in TEL. Using a learning analytics…

In recent years, employers have expressed concerns that Science, Technology, Engineering, and Mathematics (STEM) graduates, though proficient in their academic disciplines, lack the critical skills necessary for success in the workplace (Karimi & Pina, 2021). Additionally, many non-STEM majors do not develop the basic STEM competencies that…