There is a heightened concern over undergraduate students being over-reliant on Generative AI and using it recklessly. Reliance behaviours describe the frequencies and ways that people use AI tools for tasks such as problem-solving, influenced by individual factors such as trust and AI literacy. One way to conceptualise reliance is that reliance…

The increasing use of complex machine learning models in education has led to concerns about their interpretability, which in turn has spurred interest in developing explainability techniques that are both faithful to the model's inner workings and intelligible to human end-users. In this paper, we describe a novel approach to creating a…

Professional vision (PV), which includes the ability to perceive and interpret classroom events, is important for classroom behaviour management, particularly in the training of student teachers. However, to date, few assessment systems that can assess student teachers' professional vision by immersing them in a realistic classroom environment…

Flipped classrooms represent a new instructional paradigm for presenting K-12 instruction. Whereas in traditional classrooms new content is taught during the school day and application activities are assigned for homework, in flipped classrooms students are expected to acquire new content by working through assigned tasks at home prior to the next…

COVID-19 has caused unprecedented challenges for the higher education community worldwide, one of which is that students have had to maintain their learning while dealing with the crisis conditions. However, a systematic understanding of students' individual crisis management still remains absent despite its importance. The newly emerged and…

Learning interaction patterns is key to the explanation of learning outcomes. Different studies have reported the relationship between classroom process variables and learning outcomes in a traditional classroom setting. However, the advent of robotics and its attendant student-robot interaction moderated by students' mathematical ability is yet…

This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…

This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…

This study, using a sample of 481 adolescents, aims to explore the relationship between ego-identity and problematic short video use in an online learning environment. The findings reveal that: (1) academic procrastination plays a significant mediating role in the relationship between ego-identity and problematic short video use; (2) both…

Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…

This dissertation presents the results and outcomes of an effort to design educational tools and curriculum to improve student learning in introductory programming courses. The work was conducted at the University of California, Merced (UC Merced), situated in the Central Valley of California, and home to a diverse student population. The findings…

This study critically examines the use of Information and Communication Technology (ICT) in supporting the education of students with Special Educational Needs and Disabilities (SEND) in primary settings, with a focus on its pedagogical implications. Acknowledging the evolving nature of technology, this research highlights its dual potential to…

ChatGPT, an artificial intelligence-supported chatbot, has become a resource in the field of education for students across various disciplines. The conversation that unfolds based on the user-generated questions and ChatGPT's responses implies the emergence of an argumentation between the student and ChatGPT. In this study, the argumentation…

This study examines the relationship between the habits of young adults in the use of information technologies and the cognitive processes involved in learning. It was found that information technologies have become an irreplaceable part of modern education, offering vast opportunities to access information and resources, thus promoting the…

Students with autism spectrum disorder (ASD) may have a difficult time transitioning frequently throughout a school day, and problem behavior can be more apparent during this time. Valuable academic time can be preserved by decreasing the time it takes to transition between tasks. Hine et al. (2015) found that computer-assisted instruction…