Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users' interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural…

The objective of this study is to propose an interactive training method based on the Unity 3D platform and to evaluate its effectiveness in comparison to a video-based training method in curbing speeding behavior and promoting road safety. Based on the attributes unique to drivers with Type A behavior patterns, this study selected 36 drivers with…

Autism Spectrum Disorder (ASD) involves social skills deficits, hindering effective communication and meaningful relationships. Prior research indicates that Augmented Reality (AR) games appeal to children with ASD for learning social skills but lack a structured framework and clear instructions for grasping social concepts. Therefore, this…

The purpose of this study is to develop an intervention framework based on video clickstream interactions for delivering superior user experience for video lectures. Apart from existing studies on data-driven interventions, this study focuses on video clickstream interactions to identify timely interventions for creating interactive video…

This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…

Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…

This study extends the understanding of the process of teachers' technology adoption by investigating the dynamic nature of the adoption process. We propose a nonhomogeneous hidden Markov model that reveals the dynamics of teachers' adoption over time and examines the impact of internal and external factors, including experiences, interventions,…

This quantitative research examined the contribution of an Online Collaborative Learning (OCL) program on attitudes towards technology in terms of technological anxiety, self-confidence and technology orientation among M.Ed. students. The advanced online collaborative program was implemented at two teacher training colleges in Israel for a period…

The Personal Learning Environment (PLE) has been presented in a number of guises over a period of 10 years as an intervention which seeks the reorganisation of educational technology through shifting the "locus of control" of technology towards the learner. In the intervening period to the present, a number of initiatives have attempted…