Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…

The COVID-19 pandemic has led to a shift towards online and blended learning; however, most students and faculty members still report more challenges in online courses regarding social interaction and engagement. This paper aimed to design an interactive blended course following Merrills' first principles of instruction model to develop students'…

This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…

As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…

Background: The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher-order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored.…

The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…

Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…

The present study employed virtual reality technology to develop online learning environments that facilitated student cultural and self-directed learning. Junior high school participants engaged in creating virtual tours, sharing them with peers online, and implementing self-directed learning strategies. A one-group posttest-only design was…

The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…

Purpose: This study aims to investigate which "a priori" factors documented in the literature and new factors that influence employees' self-regulated microlearning behavior and the utilization of internal microlearning platforms in organizations. Design/methodology/approach: The authors conducted a single-case study on a Swedish retail…

Purpose: Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions…

The present study carried out a bibliometric analysis of L2 eye-tracking research. VOSviewer, CiteSpace, and CitNetExplorer were used for the analysis. The data were 245 articles indexed by Social Sciences Citation Index (SSCI). The study identified the research topics, trends, promising research directions, influential authors and documents, and…

In this study, a simplified strategy for the English assistance model was provided to overcome the limitations of current school English display settings and increase the scope of 5G innovation. This study uses a learning strategy based convolutional neural network (LS-CNN) to determine the execution of college English learning strategies. This…

Multitasking activities among students using various technological devices is common during lectures, and many studies have demonstrated their deleterious effects on various learning outcomes. In contrast, fewer studies have examined ways to reduce multitasking and stimulate engagement in learning. The present study provides an educational…

Purpose: This study aims to explore Chilean students' digital technology usage patterns and approaches to learning. Design/Approach/Methods: We conducted this study in two stages. We worked with one semester learning management systems (LMS), library, and students' records data in the first one. We performed a k-means cluster analysis to identify…