Ani Apiyani
Universitas Islam Lampung

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Data-Based and Continuous Evaluation Strategies for Assessing the Quality of Learning in Islamic Education Muslim; Yuli Supriani; Ika Ratna Rosanti; Andri Setiadi; Ani Apiyani
The Nexus Journal of Education, Management, and Entrepreneurship Vol. 1 No. 2 (2026): Nexjeme
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61798/nexjeme.v1i2.15

Abstract

The quality of learning is a key factor in the success of Islamic education; however, the implementation of learning quality assessment in many Islamic secondary schools still faces a gap between actual practices and expected standards. This study aims to formulate a data-based and continuous evaluation-oriented strategy for assessing learning quality at MTs Mamba’ul Ulum Metro in order to improve teaching effectiveness and academic decision-making. This study employed a descriptive qualitative approach involving teachers, the school principal, and students as research subjects, with data collected through classroom observations, in-depth interviews, and document analysis of assessment records. The findings show that formative and summative assessments have been implemented; however, the use of assessment data for continuous improvement remains limited and has not yet been systematically integrated. The analysis indicates that a strategy based on continuous evaluation and teacher collaboration can improve learning responsiveness, identify students’ learning difficulties more quickly, and strengthen evidence-based quality management. In conclusion, a systematic and data-based assessment strategy not only bridges the gap between actual conditions and expected quality standards but also provides an innovative model that can be replicated in other Islamic educational institutions. Keywords: quality assessment strategy, continuous evaluation, Islamic education, data-based management.
Artificial Intelligence Integration in Madrasah Education: The Strategic Role of Principals in Improving Institutional Quality Asep Sopian; Yuli Supriani; Eko Suncaka; Ani Apiyani; Muslim; Slamet Setiawan
The Nexus Journal of Education, Management, and Entrepreneurship Vol. 1 No. 2 (2026): Nexjeme
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61798/nexjeme.v1i2.16

Abstract

This study aims to analyze the leadership strategies of madrasah principals in integrating Artificial Intelligence (AI) as an effort to enhance educational quality at MA Al-Hidayah Ibun Bandung. Employing a descriptive qualitative approach, the research involved purposively selected informants, including the principal, teachers, and students. Data were collected through observation, semi-structured interviews, and document analysis, and were subsequently analyzed thematically. The findings indicate that the principal’s leadership strategy comprises four main steps: establishing a data-driven quality orientation, encouraging teachers to utilize learning data for continuous evaluation, strengthening teacher collaboration in academic decision-making, and fostering a madrasah culture that gradually and ethically adapts to AI utilization. Although AI integration has not yet taken the form of a fully centralized digital system, it is evident through the reinforcement of data-based practices, the use of simple digital summaries, and the application of evaluation results for remedial, enrichment, and learning improvement. These strategies contribute to increased teacher responsiveness, precise learning interventions, and the strengthening of a quality-oriented madrasah culture. The study emphasizes that successful AI integration in madrasahs heavily depends on the principal’s leadership in developing vision, teacher capacity, collaboration, and technology governance aligned with Islamic educational values.