To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…

The results of online learning were not optimal, as evidenced by the unsatisfactory learning outcomes. These issues influenced students who had a poor understanding of concepts and those who were quick to learn. It was the reason for the study that aims to analyze the effectiveness of study, explore, implement, evaluate (SEIE) model e-learning…

Background: Inconsistent observations of pupillary response and blink change in response to different specific tasks raise questions regarding the relationship between eye measures, task types and working memory (WM) models. On the one hand, studies have provided mixed evidence from eye measures about tasks: pupil size has mostly been reported to…

Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…

The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and…

The emotional intelligence models have helped to develop different tools for construct assessment. Each theoretical paradigm conceptualizes emotional intelligence from one of two perspectives: ability or mixed model. Ability models consider emotional intelligence as a pure form of mental ability and therefore as pure intelligence. Mixed models of…

Complex mathematical approaches exist in biological, social, and educational sciences, creating models to understand and explain cognition processes in human brain. Yet, the logged raw data is just an initial learners' behavior footprint in Virtual Learning Environments. Exploratory Data analysis would help to deepen the understanding of cognition…

Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the…

In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…

This study aimed to investigate: 1) the influence of 4C learning model on students' learning outcomes in the philosophy of science course, 2) the influence of academic capability on students' learning outcomes in the philosophy of science course, and 3) the interaction between 4C learning model and academic capability on the students' learning…

This article aims to build paradigms, strategies, and stages of learning models that can reduce learning barriers. The learning process can benefit changes in cognitive, affective, and psychomotor aspects for the better. This research was conducted because it saw the reality of the problem of low learning achievement. This was qualitative study…

This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…

In the context of China's social transformation and educational reform, addressing the problems of fragmented and ineffective learning in traditional teaching modes and enhancing students' academic levels and developing their comprehensive abilities through structured classroom learning have become critical issues in educational reform. The…

Skill acquisition theorists conceptualize second language (L2) learning as the acquisition of a set of perceptual, cognitive, and motor skills. The dominant view in skill acquisition theory is to regard L2 skill acquisition as a three-stage process "from initial representation of knowledge through initial changes in behavior to eventual…

The discrepancy between students' understanding of domain knowledge and their actual competencies to use tacit knowledge for a given task has been an issue to consider when instruction is designed, implemented, and revised. In this study, the researcher examines teaching and learning processes in which a Problem-Based Learning (PBL) design model…