One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…

Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…

This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…

With the widespread application of online education platforms, the necessity for identifying learners' mental states from webcam videos is increasing as it can be potentially applied to artificial intelligence-based automatic identification of learner states. However, the behaviors that elementary school students frequently exhibit during online…

The number of online courses that have been developed by faculty continues to increase in higher education. The purpose of this mixed-methods research study is to investigate the effects of online courses developed using the Quality Matters (QM) framework on self-regulated learning behaviors for students enrolled in online courses. The research…

Understanding how students engage with feedback is often reduced to a study of feedback messages that sheds little light on effects. Using the emerging notion of feedback encounters as an analytical lens, this study examines what characterizes productive feedback encounters when learning online. Drawing from a cross-national digital ethnographic…

The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…

This paper examines the effect of class size on student's academic and behavioral performance in synchronous online courses, utilizing student-level administrative data and website clickstream data from a research university in China. By examining variations in class sizes within students but across classes, we revealed a significant negative…

Self-regulated learning (SRL) refers to students' ability to take charge of their own learning and consists of behavioral strategies that are associated with better online academic performance. This quasi-experimental study investigated the effect of two interventions (SRL training alone and SRL training paired with a learning diary) on online…

The Research and development (R&D) methodology was employed in this research to create an educational innovation, called "Online Self-Training Program for Development for Teachers' Learning to Enhance Prosocial Behavior for Students", which was effective according to the specified criteria. This online self-training program consisted…

Enrollment in online schools (OS) has increased significantly in recent years. Due to advancements in technology, OS are able to provide education entirely online to K-12 students. Despite their growth, there has been little research on the working environments of OS. This paper explores teacher perceptions about working conditions in OS. We use…

Retrieval practice has been proven effective in conceptual science learning, and retesting has been applied in retrieval practice and has been shown to lead to significant improvements in learning outcomes. In this study, retesting was employed in an online microbiology course to evaluate the attitudes and behaviors of college students about this…

The objectives of this study were to validate the effectiveness of using instructional videos in online introductory accounting courses and to examine how specific student characteristics relate to online video-viewing behavior. Data were collected from ten online course sections of introductory financial accounting taught by two different…

Academic procrastination is a behaviour that delays the completion of tasks, time management or other academic activities. However, it is possible to develop interventions that eliminate or minimise this procrastinating behaviour. This study presents a systematic review of the literature following the PRISMA method guidelines, with the aim of…

Academic coaching has emerged as a potential strategy for enhancing student success within higher education, particularly in online learning, where self-regulated learning skills (SRL) are crucial for student achievement. The problem addressed in this study is student achievement in community college asynchronous online courses is low, and there…