Educational data mining and learning analytics: a review of educational management in e-learning

Information Discovery and Delivery, Год журнала: 2023, Номер 52(2), С. 149 - 163

Опубликована: Июль 14, 2023

Purpose The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) e-learning environment from a managerial perspective. Design/methodology/approach This paper proposes systematic literature review EDM domain restricted by concepts management. search for bibliographic material considered articles published journals papers conferences 1994 2023, totaling 30 years research EDM. Findings From review, it was observed that managers have been concerned about effectiveness platform used students as contains entire learning process all interactions performed, which enable generation information. collected on these platforms, there are improvements inferences can be made actions educators human tutors (or automatic tutoring systems), curricular optimization or changes related course content, proposal evaluation criteria also increase understanding different styles. Originality/value conducted perspective manager, who responsible direction an institution higher education, assist administration creating strategies use improve process. To best authors’ knowledge, original because other contributions do not focus manager.

Язык: Английский

---

Rethinking Tutoring Activities in the New Normal: New Ways of Tutoring and Evolution of The Tutor’s Profile

Procedia Computer Science, Год журнала: 2025, Номер 253, С. 1515 - 1524

Опубликована: Янв. 1, 2025

Язык: Английский

---

The Spanish experience of future classrooms as a possibility of smart learning environments

Heliyon, Год журнала: 2023, Номер 9(8), С. e18577 - e18577

Опубликована: Июль 22, 2023

Developing advanced technologies and their integration into educational spaces generates new training opportunities. Examples of these are Future Classrooms (FC) Smart Learning Environments (SLE), two concepts linked to innovation through technology but also have differences. This paper aims identify the similarities differences between FC developed in Spanish formal context concerning theory SLE. study follows an exploratory research methodology using ad hoc questionnaire applied transversally a representative sample teachers involved SLE (N = 66). SPSS V. 28 software was used. In relation results, some statistics (mean, standard deviation, kurtosis skewness) were used analyse practices professional satisfaction. conclusion, at initial stage development Spain, although they could represent approximation what would be practical basis SLE, there still several aspects developed, especially dimension attention diversity. technologies, related automation certain processes include artificial intelligence, learning analytics sensors, among others. On other hand, not widely FC, use more conventional technological resources, such as interactive whiteboards, online collaborative environments, LMS platforms, etc. terms diversity, despite existence initiatives personalise experience assistive considered, nor is automatic personalisation technologies.

Язык: Английский

---

Integrating Business Analytics in Educational Decision-Making: A Multifaceted Approach to Enhance Learning Outcomes in EFL Contexts

Mathematics, Год журнала: 2024, Номер 12(5), С. 620 - 620

Опубликована: Фев. 20, 2024

This study introduces a framework that integrates business analytics into educational decision-making to improve learner engagement and performance in Massive Open Online Courses (MOOCs), focusing on learning environments English as Foreign Language (EFL). By examining three specific research questions, this paper delineates patterns engagement, evaluates factors affect these patterns, examines the relationship between outcomes. The provides an empirical analysis elucidates connection behaviors outcomes by employing machine learning, process mining, statistical methods such hierarchical clustering, discovery, Mann–Kendall test. determines characterized single-phase or multi-phase, repetitive non-repetitive, sequential self-regulated, are more closely associated with nature of content—such books, series, reading levels—than characteristics. Furthermore, it has been observed learners exhibiting self-regulated tend achieve superior academic findings advocate for integrating practices, offer strategic insights enhancements, propose new perspective behavior success.

Язык: Английский

---

The relationship between college students’ learning engagement and academic self-efficacy: a moderated mediation model

Frontiers in Psychology, Год журнала: 2024, Номер 15

Опубликована: Сен. 3, 2024

Introduction Despite the return of college students to campus in post-pandemic era, deep influence COVID-19 on learning approaches persists. Existing research has explored fewer mechanisms underlying academic self-efficacy and engagement. In line with social cognitive theory, psychological resilience framework, vocational socialization this investigated self-efficacy, professional commitment, resilience, engagement among era. research, focus was understanding impact engagement, taking into account gender as a moderator commitment mediators. Methods We conducted survey 1,032 Henan Province, China, utilizing Psychological Resilience Scale, Academic Self-Efficacy College Student Learning Engagement Questionnaire, Professional Commitment Scale. SPSS Process plugin were used assess mediating moderating effects. Results significantly positively correlates students’ learning. The positive anticipation facilitated by exerts its effect through fully parallel mediation commitment. Notably, greater than that resilience. Further found moderated gender, female demonstrating stronger perceptions associated elevated levels Gender did not exhibit significant Conclusion must be addressed enhance their

Язык: Английский

---

Newly Proposed Student Performance Indicators Based on Learning Analytics for Continuous Monitoring in Learning Management Systems

International Journal of Online and Biomedical Engineering (iJOE), Год журнала: 2023, Номер 19(11)

Опубликована: Авг. 16, 2023

E-learning platforms have become increasingly popular across various industries, with higher education institutions being among the primary adopters. Learning management systems (LMSs) emerged as valuable tools that facilitate of learning and training processes while providing support for administration. However, LMS often offer limited functionality monitoring students’ instructional progress, which is essential understanding how learners interact courses materials. As a result, identifying at-risk students, tracking their intervening when necessary can be challenging. The substantial amount data generated by transformed into meaningful indicators allow learners’ progress enhancing self-regulation. Our research project focuses on developing set pedagogical using analytics to monitor progress. We present case study where we tracked monitored students in Web Technologies course e-campus platform at Cadi Ayyad University (Morocco), student performance (SPIs). findings this suggest employing SPIs help faculty members identify underperforming anticipate those risk, ultimately enabling them provide timely interventions

Язык: Английский

---

Research on Big Data Analysis of Online Learning Behavior and Predictive of Learning Effectiveness

2022 International Conference on Networking and Network Applications (NaNA), Год журнала: 2024, Номер unknown, С. 364 - 368

Опубликована: Авг. 9, 2024

Язык: Английский

---

Learning analytics in online education: data-driven insights into student success

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract In order to gain insights into the key factors affecting students’ success in online education, this paper extracts learning behavioral feature indicators through record data platform, applies attribute approximation algorithm based on Bayesian Fuzzy Rough Set (IDB-BRS) model of indicators, and utilizes improved Apriori mine association rules between behaviors effects. The is used establish comparison VPFRS algorithm, IDB-BRS does not necessitate pre-given parameters achieves superior classification accuracy time Soybean, Credit, Balance datasets, thereby offering greater practical value. reveal that students who carefully study course resources, actively submit assignments, frequently contribute positively their learning. This holds significant implications for enhancing effectiveness education.

Язык: Английский

---

Students’ Challenges with Online Remote Teaching and Learning in South Africa

International Journal of Construction Education and Research, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Ноя. 5, 2024

Online remote teaching and learning strategies have become part of tertiary institutions worldwide. This knowledge delivery method became more profound during the COVID-19 era, forcing to keep this even after pandemic. Most in African countries, including South Africa, also embraced online strategies. study investigated challenges built environment students with methods. A qualitative approach was adopted using open-ended interview questions solicit views regarding they experience method. thematic content analysis used categorize data into themes sub-themes. The results show that face several challenges. These were categorized power, schedule, technology issues, lack focus, communication, cost-related issues. institution authorities must address these ensure sustainability as many work attend schools, thus relying on acquire knowledge. from Africa; hence, findings may not be generalizable other countries.

Язык: Английский

---

Student Engagement as a Mediator of Academic Self-Efficacy and Academic Performance in Islamic Boarding School Students

Journal for Lesson and Learning Studies, Год журнала: 2024, Номер 7(2), С. 270 - 281

Опубликована: Авг. 22, 2024

Academic performance problems that are still rampant in various boarding schools often triggered by students' lack of active participation and confidence their academic abilities. This study aims to analyze the effect self-efficacy on with student engagement as a mediator for students Islamic schools. The method this is quantitative research an ex-post facto approach. sample was determined using multistage random sampling technique total 308 student. instruments used were scale dimensions level, generality, strength, emotional engagement, cognitive behavioural measured referring report card data. data obtained analysed quantitatively PROCESS v4.2 macro Hayes 4 model through SPSS Version 25 application. results indicate self-efficacy, positively related, acts between performance. Students high more confident learning can solve effectively engaged learning, thus improving achievement.

Язык: Английский

---