Garuda - Garba Rujukan Digital

Artificial Intelligence–Driven Learning Analytics for Enhancing Student Engagement and Academic Performance in Digital Learning Environments Dendi Pratama; Eka Maya S.S. Ciptaningsih; Ramadiani Ramadiani; Achmad Fawaid; Winci Firdaus; Bambang Sudarsono
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 2 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4835

The quick development of digital learning ecosystems after educational reform in the post-pandemic era requires an increase in intelligent monitoring systems that assess student engagement and predict academic performance. Traditional learning assessment techniques frequently have flaws when detecting early disengagement signals and initiating corrective actions for at-risk students. This research proposes an Artificial Intelligence (AI)-Driven Learning Analytics method that aims to improve student engagement monitoring and academic performance prediction in digital learning environments. A fabricated LMS-based educational dataset was used, which includes behavior analysis, engagement factors, academic factors, interaction factors, and temporal learning behavior obtained from LMSs like Moodle, Google Classroom, and Canvas. Several machine learning models, including Random Forest, XGBoost, Support Vector Machine, Artificial Neural Network, and Long Short-Term Memory (LSTM), were tested. The results revealed that the LSTM model had the best performance with an accuracy rate of 95% and a ROC-AUC value of 0.98, highlighting the importance of temporal learning behavior in educational prediction systems. Some of the essential engagement factors found to be most effective were assignment submission, quiz score, inactivity period, session length, and login number. The findings make a theoretical contribution to Artificial Intelligence in Education and Learning Analytics by combining multidimensional engagement analysis, temporal behavior modeling, and explainable AI into a unified framework. In practice, the suggested framework can aid adaptive learning, early warning, individualized intervention, and evidence-based education decisions in intelligent digital learning ecosystems.

Enhancing Students’ Engagement Through Emotional Intelligence Based Digital Tools In Indonesian Language And Islamic Education Learning Abdul Muhid; Achmad Fawaid; Muhammad Iqbal
Jurnal Kajian Ilmu Pendidikan (JKIP) Vol. 7 No. 6 (2026): Jurnal Kajian Ilmu Pendidikan (JKIP)
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jkip.v7i6.2459

Digital learning has become central to classroom practice, yet its pedagogical value remains limited when technology is used only for content delivery, assessment, or task completion without addressing students’ emotional readiness and engagement. This study examined the effect of emotion-aware digital learning using the How We Feel app on student engagement in Indonesian Language and Islamic Education. A quantitative comparative quasi-experimental design with a pretest–posttest non-equivalent control group model involved 120 secondary students at an Islamic private school in Probolinggo, divided into Indonesian Language experimental and control groups and Islamic Education experimental and control groups. The results showed that the experimental groups achieved higher engagement gains than the control groups, with large effect sizes in both subjects. The effect was stronger in Islamic Education, indicating that emotion-aware digital learning is particularly effective when aligned with moral reflection, empathy, and value internalization. Emotional engagement improved most strongly in Islamic Education, cognitive engagement increased most in Indonesian Language, and empathy emerged as the strongest predictor of student engagement. The novelty lies in integrating an emotion-tracking digital tool into subject-based learning and comparing its effects across linguistic and religious education contexts.

Enhancing Students’ Engagement Through Emotional Intelligence Based Digital Tools In Indonesian Language And Islamic Education Learning Abdul Muhid; Achmad Fawaid; Muhammad Iqbal
Jurnal Kajian Ilmu Pendidikan (JKIP) Vol. 7 No. 6 (2026): Jurnal Kajian Ilmu Pendidikan (JKIP)
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jkip.v7i6.2459

Digital learning has become central to classroom practice, yet its pedagogical value remains limited when technology is used only for content delivery, assessment, or task completion without addressing students’ emotional readiness and engagement. This study examined the effect of emotion-aware digital learning using the How We Feel app on student engagement in Indonesian Language and Islamic Education. A quantitative comparative quasi-experimental design with a pretest–posttest non-equivalent control group model involved 120 secondary students at an Islamic private school in Probolinggo, divided into Indonesian Language experimental and control groups and Islamic Education experimental and control groups. The results showed that the experimental groups achieved higher engagement gains than the control groups, with large effect sizes in both subjects. The effect was stronger in Islamic Education, indicating that emotion-aware digital learning is particularly effective when aligned with moral reflection, empathy, and value internalization. Emotional engagement improved most strongly in Islamic Education, cognitive engagement increased most in Indonesian Language, and empathy emerged as the strongest predictor of student engagement. The novelty lies in integrating an emotion-tracking digital tool into subject-based learning and comparing its effects across linguistic and religious education contexts.

Regulatory Gaps in Protecting Children’s Constitutional Rights against Digital Microtransactions in Indonesia’s Online Gaming Ecosystem Isharyanto Isharyanto; Achmad Fawaid; Ismail Marzuki
Khazanah Hukum Vol. 8 No. 1 (2026): Khazanah Hukum
Publisher : UIN Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kh.v8i1.51532

This article examines regulatory gaps in protecting children’s constitutional rights against digital microtransactions in Indonesia’s online gaming ecosystem. The study aims to analyze how monetization mechanisms such as loot boxes, gacha systems, pay-to-win designs, and other persuasive interfaces may expose children to risks of digital economic exploitation; to evaluate the adequacy of Indonesia’s legal framework in addressing those risks; and to formulate a child-centered regulatory model for online gaming governance. This research employs normative legal methods through doctrinal, comparative, and conceptual approaches. The doctrinal approach is used to examine Indonesian positive law, the comparative approach analyzes regulatory responses in the United Kingdom, the Netherlands, South Korea, and Japan, and the conceptual approach interprets constitutional protection and the principle of the best interests of the child. The findings show that digital microtransactions function as integrated monetization architectures that may exploit children’s cognitive, behavioral, and social vulnerabilities. Although Indonesia already possesses relevant legal instruments, including Article 28B paragraph (2) of the 1945 Constitution, the Child Protection Law, the Consumer Protection Law, the ITE Law, and Government Regulation No. 17 of 2025, the current framework remains fragmented, general, and insufficiently responsive to microtransaction-specific risks. The study implies the need for a child-centered regulatory framework based on design protection, transparency obligations, platform accountability, and coordinated institutional supervision. The originality of this article lies in repositioning digital microtransactions from a predominantly psychological and market-based issue into a constitutional child-rights issue within Indonesia’s digital legal order.

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