Data mining approaches have been widely used to estimate student performance in online education. Various Machine Learning (ML) based data mining techniques have been developed to evaluate student performance accurately. However, they face specific issues in implementation. Hence, a novel hybrid Elman Neural with Apriori Mining (ENAM) approach was…

This study aims to create a comprehensive bibliometric map of published scientific articles on e-learning in mathematics education (ME). We used Web of Science (WoS) database to analyzed 341 articles published by 1018 authors representing 79 countries between 2012 and 2022. In this context, we examined scientific articles in terms of scientific…

One of the educational resources that Indonesia has produced extensively is e-modules. It is still necessary to investigate and assess e-module development research. Analysis of e-module development publications in Indonesian biology education journals is the goal of this assessment of the literature. Only the JPBI (Jurnal Pendidikan Biologi…

Previous research often revealed detrimental effects of seductive details on learning with multimedia instruction, but there are mixed findings regarding how to best explain these detrimental effects. We investigated whether the detrimental effects of seductive details are mainly mediated by the cognitive processes of diversion (deeper processing…

This study's main objective is to present bibliometric data on articles related to digital educational environments (DEEs) published in the journals indexed in Scopus database between 2003 and February 2023. The data collected from 61 articles published within the study's scope were subjected to bibliometric analysis based on six categories:…

Purpose: This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students. Design/methodology/approach: This study reviews student-centric literature on m-learning since 2010 and presents insights…

The purpose of this study is to examine research on school dropout in open and distance education in the Web of Science (WoS) database using bibliometric analysis and to reveal trends in this area. In line with this goal, a total of 1,615 studies published between 1980 and 2022 were identified in the Web of Science (WoS) indexes. Descriptive and…

The use of #digitalpowerups is a technique that involves associating keywords with prompts in online discussion forums, which enables students to have more choice and voice. These powerups not only help structure responses but also enrich discussions and develop academic skills necessary for online assignments. The approach leverages the social…

Contributions: In this article, a generative artificial intelligence (AI)-based Q&A system has been developed by integrating information retrieval and natural language processing techniques, using course materials as a knowledge base and facilitating real-time student interaction through a chat interface. Background: The rise of advanced AI…

Background: There has been increasing interest in online professional learning networks in a variety of social media platforms, especially in Twitter. Twitter offers immediacy, personalization, and support of networks to increase professional knowledge and the sense of membership. Knowing the topics discussed in Twitter and the factors that affect…

This paper examines literature from the COVID-19 period (2020-2022) to outline prevalent themes and essential competencies in the post-COVID era. Employing informetrics within a quantitative research approach, the study scrutinizes Scopus database data using COVID-19, e-learning, e-commerce, and media and information literacy terms. Results reveal…

Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…

Intensive training programs have successfully supported students in using cognitive learning strategies. This study investigated whether a compact intervention can promote students' retrieval practice use during self-study for course-relevant materials. In an experiment embedded in a reputation management course, students were either given…

Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. This study explored EDM in online learning publication trends and focuses. It involved a bibliometric analysis of 615 scholarly works related to EDM in online…

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.…