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SCHOULID: Indonesian Journal of School Counseling
ISSN : 25483226     EISSN : 25483234     DOI : https://10.23916/086342011
Schoulid | Indonesian Journal of School Counseling is a peer-reviewed journal that publishes research articles, theoretical studies, and program applications in the fields of education, counseling, social sciences, and the humanities. The journal is dedicated to advancing knowledge and practice that support the academic, career, social-emotional, and holistic development of individuals. It also welcomes interdisciplinary contributions that bridge education, counseling, social sciences, humanities, and related fields. The scope of the journal includes, but is not limited to: 1. Education and Counseling: school and community counseling services, career counseling, academic support, social-emotional and multicultural development, counseling approaches and models, and the integration of technology in counseling practices. 2. Social Sciences and Humanities: studies addressing social, cultural, legal, and community issues, including linguistics, economics, management, and business within the context of education, student development, and counseling interventions. 3. Leadership and Advocacy: coordination of services, consultation, collaboration and teamwork, policy advocacy, educational leadership, and resource management in schools and communities. 4. Data and Technology Use: innovations in technology for counseling, education, and social research; data-driven program evaluation; and policy development. 5. Scientific Publications: empirical research articles, conceptual and methodological studies, program evaluations, book reviews, and reports on educational or counseling practices and materials. Schoulid Journal welcomes contributions from researchers, academics, practitioners, and policymakers who work on individual development as well as those engaged in broader studies in education, counseling, social sciences, and the humanities.
Articles 231 Documents
Transparency and trust in AI-driven mathematics learning: a systematic review of explainability frameworks Nefrima Sartika Putri; Rudyanto Rudyanto
SCHOULID: Indonesian Journal of School Counseling Vol. 10 No. 3 (2025): SCHOULID: Indonesian Journal of School Counseling
Publisher : Indonesian Counselor Association (IKI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23916/086846011

Abstract

Explainable artificial intelligence (XAI) is increasingly used to support prediction, assessment, feedback, and instructional decisions in mathematics education, yet evidence about how explanation affects transparency, trust, and learning remains fragmented. This systematic literature review synthesized evidence on explainability in mathematics and closely related STEM education, with particular attention to the under-studied middle-school learner. The review followed PRISMA 2020 and used a structured TITLE-ABS-KEY search of Scopus. The search returned 646 records; 550 were excluded during title/abstract screening, 96 reports were assessed at full text, and 10 studies were retained for qualitative thematic synthesis. Three themes emerged: interpretable prediction of performance and at-risk learners; transparency, trust, and adoption; and explainable scaffolding and feedback. The evidence base is dominated by 2025 studies and by educator- or institution-facing prediction, while direct learner-facing explanation and experimentally tested effects on achievement remain scarce. SHAP, feature-importance methods, neuro-fuzzy models, and explanatory feedback systems improve access to model reasoning, but explanation quality alone has not been shown to cause higher achievement. The review therefore distinguishes technical interpretability from pedagogical usefulness and identifies validated measurement needs for teacher decision quality, student self-regulation, calibrated AI trust, and equitable treatment. Because the archived screening and appraisal logs were not preserved, retrospective inter-rater coefficients and aggregate quality scores could not be reconstructed without inventing data; this limitation is reported explicitly. Future studies should use dual-reviewer screening, design-appropriate critical appraisal, classroom-embedded experiments, and age-appropriate explanations.

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