Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…

Learning power has become a significant impacting factor on learning quality in digital age. This study is a survey at a university in China, using a questionnaire with seven evaluation indicators integrated into learning dimensions, to assess college students' digital learning power (DLP). The main findings are as follows. College students have…

This extension study investigates the relationship between self-regulated learning (SRL) strategies and first language (L1) Chinese and second language (L2) English reading test performance among 190 primary six students in mainland China, building upon the findings by Tse et al. (2022). Confirmatory factor analysis confirmed the acceptable…

This study developed and validated the Turkish version of the Self-Directed Online Learning Scale (SDOLS-T) for assessing students' perceptions of their self-directed learning (SDL) ability in an online environment. Specifically, this study conducted in two stages multiple categorical confirmatory factor analyses factoring in the ordered…

Digital competence is an essential skill for pre-service teachers, and self-regulation is an important factor in this competence. However, lack of emotional support often affects development of students' digital competence. Therefore, an emotional support-embedded robot-based self-regulated learning (ES-RSRL) system was developed. This ES-RSRL…

Autonomy has been an important trait that marks the transition from childhood to adolescence. This study examines the effectiveness of the use of an autonomous learning component in outdoor programs, the final expedition, in enhancing youth autonomy in outdoor programs. This study used a mixed-method quantitative and qualitative research design to…

This study tested the mediating role of self-directed learning skills (SDL) between students' conceptions of mathematics and their achievement in mathematics using a structural equation model. Data were collected using the "Conceptions of Mathematics Questionnaire" and the "Self-Rating Scale of Self-Directed Learning", together…

There are many practices that educators can use to develop self-regulated learning (SRL); however, an organizational framework for cataloging SRL supportive practices that also identifies empirical support for those practices is lacking. The purpose of this manuscript is to provide such guidance by developing the settings, exchanges, and events…

Learner modeling systems so far formulated model learning in three main ways: a learner's "position" within a lattice of declarative and procedural knowledge about highly structured disciplines such as geometry or physics, a learner's path through curricular tasks compared to milestones, or profiles of a learner's achievements on a set…

Research on teacher education and classroom teaching has evolved significantly in recent decades, with more research taking an international or intersectional lens. The International Study Association on Teachers and Teaching (ISATT) has moved with the field, beginning as a predominantly white European and North American organization in 1983, it…

Background: Engineering-oriented bridge programs and camps are popular strategies for broadening participation. The students who often serve as counselors and mentors in these programs are integral to their success. Purpose: Predicated on the belief that mentoring contributes to positive outcomes for the mentors themselves, we sought to understand…

Contribution: This work identifies some attributes of a prescriptive high contact-hour engineering curriculum that could be limiting the development of core skills among engineering students. The findings are put together to develop a guideline for curriculum review that optimizes characteristic student academic hours for in- and out-of-class…

Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…

Biology learning in the 21st century makes students understand concepts, including excretory system learning. Selfregulated learning is how students learn independently, with digital literacy skills, which should be maintained as students must control their use of technology and information in learning. This research aimed to analyze the…

Recommender systems in education aim to help students make good decisions about the direction of their learning. The design of such systems in conventional research has treated the decision making process of students as a black box and assumes the best recommendations to be those that accurately predict student choices. Such an approach overlooks…