The Professionalism of Islamic Religious Education Teachers in Facing the Challenges of Digitalized Learning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The transformation of digital education presents both challenges and opportunities for Islamic Religious Education (PAI) teachers, particularly in shaping students’ character. This study aims to examine the impact of learning digitalization on the role of PAI teachers, the challenges they face in mastering technology, and the strategies for developing digital-based learning at Tahfizhul Quran Al Kautsar School in Klaten. This research employs a qualitative case study approach through interviews, observations, and documentation conducted in June 2025. The findings indicate that digitalization has shifted the role of teachers to become more active facilitators. However, challenges such as low digital literacy and limited infrastructure remain significant obstacles. Solutions include training, the development of Islamic digital teaching materials, the use of appropriate platforms, and communication with students’ guardians. Collaboration among teachers, schools, and relevant stakeholders is essential to create innovative yet value-driven Islamic education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it