This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model in KD with "an RNN model with a long-term time-series in which the features during the entire course…

Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…

The proliferation of social networking sites (SNS) use by students has been accompanied by both concerns and excitement regarding the consequences of SNS use. Research on SNS use has become increasingly popular in the educational literature. There are a variety of ways that SNS use can affect students, and indeed the work in this stream of…

Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…

Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…

The aim of this research was to establish whether gender and age have an impact on spatial reasoning and its development through the use of 3D modeling. The study was conducted on a sample of 196 children from sixth to ninth grade, of whom 95 represented the experimental group and 101 the control group. The experimental group received 3D modeling…

Epistemic and learning beliefs were found to affect college students' cognitive engagement and study strategies, as well as motivation in classroom settings. However, the relationships between epistemic and learning beliefs, motivation, learning perception, and students' actual learning participation in asynchronous online settings have been…

College students are using social network sites such as Facebook to communicate with their families and friends. However, empirical evidence is needed to examine whether there exists a reciprocal relationship between students' use of social network sites and their psychological well-being. The present study focused on two reciprocally-related…

The purpose of this project is to test a theoretical model explaining the relationship between technology use, parent educational background, academic aspiration, and self-confidence as predictors of mathematics achievement across three immigrant groups. This study utilized data from the TIMSS 2007. To compare the effect size of technology use,…

Game-based classroom activity is intended to leverage students' interest and motivation to play, and to provide safe contexts for supporting students' academic learning. However, a basic criticism of many games currently used in classroom settings is that they can fail to meaningfully embody academic content. A more subtle concern is that…

A path-modeling approach is adopted to examine interrelationships between factors influencing computing behavior and computer course performance. Factors considered are gender, personality, intellect and computer attitudes, ownership, and experience. Intrinsic motivation is suggested as a major factor which can explain many variables' relationship…