Article Per Year (5 Year)
p-Index From 2021 - 2026
1.658
P-Index
This Author published in this journals
All Journal Jurnal Rekayasa Mesin International Journal of Artificial Intelligence Research Journal of Vocational Education and Automotive Technology Jurnal Teknologi dan Manajemen Jurnal Pendidikan dan Pembelajaran Journal of Scientific Research, Education, and Technology Jurnal Teknologi Pendidikan Vocational: Journal of Educational Technology
Fuad Abdillah
Universitas Ivet
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Digital and AI-Enabled Scaffolding in RPL Assessment: A Systematic Literature Review of Mechanisms, Evidence, and Design Principles Fuad Abdillah; Dhega Febiharsa
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 5 No. 4 (2026): Vol. 5 No. 4 2026
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v5i4.1268

Abstract

This study aims to synthesize the mechanisms, evidence, and principles of digital scaffolding design and artificial intelligence assistance in the assessment of Recognition of Prior Learning (RPL). The study employs a systematic literature review design, adhering to PRISMA 2020 reporting guidelines, with a publication deadline from January 2021 to September 2026. The initial synthesis of the selected literature combines thematic analysis of support mechanisms and structured analysis of evaluation results, distinguishing empirical evidence from conceptual propositions. Four mechanisms were identified: articulation of lessons learned from experience, portfolio development and evidence mapping, formative feedback, and interpretive support for assessors. The literature documented candidate readiness, narrative traceability, and document processing performance, but did not provide adequate evidence regarding improved validity and fairness of recognition decisions. Classification accuracy and annotation consistency measured outcomes that differed from the adequacy of competency evidence. The proposed originality lies in the integration of mechanisms, assessment tasks, evaluation results, and application conditions within a single analytical framework. The study contributes by clarifying the differences between presentation quality, evidentiary quality, and decision validity, and by formulating design principles regarding claim ownership, traceability, assistance adjustment, uncertainty, accessibility, and human accountability. Unfinished corpus selection and quality assessments limit the determination of effectiveness and generalization. This framework provides a basis for testing candidate and assessor support in a variety of RPL contexts.
Co-Authors Abdul Aziz Afis Pratama Bahtiar Rahmat Bayu Ariwibowo Dhega Febiharsa Dhega Febiharsa Dhimas Saputra Diana Langgeng Mustikawati Didik Rohmantoro Dwi Jatmoko Fahmy Zuhda Bahtiar Fatra, Fahmy Joko Suwignyo Mangiri, Herry Sulendro Miftah Al Hafidz Muhammad Febrianto Nurul Burhan Ririn Linawati Sena Mahendra Supriyadi Supriyadi Themba Paulos Nkwanyane Toni Setiawan