Students' academic performance prediction is one of the most important applications of Educational Data Mining (EDM) that helps to improve the quality of the education process. The attainment of student outcomes in an Outcome-based Education (OBE) system adds invaluable rewards to facilitate corrective measures to the learning processes.…

Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…

At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…

This mixed methods study investigated the change types and the underlying mechanisms of Chinese undergraduates' deep learning approach at a research-oriented university in eastern China. In Study 1, the deep learning approach of 273 freshmen was assessed using R-SPQ-2F at the beginning and end of a semester. The changes were categorized into three…

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…

This article aims to clarify the concept of context. Our motivation is the lack of consensus on what context is, despite common accept of the claim that learning is context-dependent to some degree, and despite a widespread interest in researching learning in specific contexts such as museums, classrooms, or workplace settings. We provide a…

The increasing use of the Learning Management Systems (LMSs) is making available an ever-growing, volume of data from interactions between teachers and students. This study aimed to develop a model capable of predicting students' academic performance based on indicators of their self-regulated behavior in LMSs. To accomplish this goal, the authors…

Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to…

Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to…

In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…

Purpose: A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a "normal" LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The…

In times of growing importance and emphasis on improving academic outcomes for young people, their academic selves/lives are increasingly becoming more central to their understanding of their own wellbeing. How they experience and perceive their academic successes or failures, can influence their perceived self-efficacy and eventual academic…

Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These factors have been identified as having important implications not only for the study of learning processes, but also as tools for improving curriculum designs, tutorial systems, and students'…

Universities have rushed to expand their delivery of courses through e-learning environments. But is e-learning effective? The authors conducted an exploratory study to evaluate e-learning through WebCT on the basis of Bloom's taxonomy. The authors distributed 75 questionnaires to investigate whether individual or instructional factors play an…

The advantages of transformative learning approaches in graduate education parallel the tenets of mentoring and lifelong learning. Under this theoretical framework, adult student achievement in leadership programming can be assessed as a developmental and individualized process. The mixed methods study presented here illustrates that it is…