Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…

Although cyber victimization has been suggested as a significant risk factor for the development of adolescents' depression, the underlying psychopathological process that mediates this relationship needs further exploration. Based on the psychological inflexibility model, this study aimed to examine cognitive fusion and experiential avoidance as…

Background: With the development of computational literacy, there has been a surge in both research and practice application of text-based and block-based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major…

Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…

This paper reports on a study that investigates the impact of learning multiple foreign languages on learners' social emotional competence development as mediated by the number of foreign languages and the recency of the learning experience. A questionnaire survey that involved 465 Chinese learners of foreign languages was administered that…

Bystanders play an essential role in school bullying prevention. This study examines student bystanders' perceptions of severity and willingness to intervene in scenarios involving physical, verbal, relational, and cyberbullying. It focuses on five distinct victim reactions: pretending nothing happened, seeking help, fighting back, crying, and no…

Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…

Students in the 21st century are expected to possess the ability to solve ill-defined complex problems (ICPs). One challenge to understanding students' ability to solve ICPs is the lack of methods for measuring noncognitive and metacognitive behaviors and relating those behaviors to cognitive behaviors with the goal of investigating differences in…

Objective: To examine the manifestation of cognitive control deficit of children with different levels of hyperactivity, an "at risk" dimension for ADHD. Method: A group of children with high hyperactivity (N = 40) and another group of children with low levels of hyperactivity (N = 38) performed a modified stop-signal anticipation task,…