AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance

Mesut Aydemir

doi:10.19126/suje.1931440

AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance

Abstract

Educational YouTube constitutes a globally accessible, practitioner-produced corpus of structured learning content. Despite learners developing genuine and verifiable competencies through sustained engagement, informal video-based learning remains excluded from formal qualification frameworks, creating a systemic gap between acquired capability and recognized achievement. This paper proposes the AI- Augmented Epistemic Design and Microcredential Derivation (AEDMD) framework, which reconceptualizes educational YouTube content as intentional epistemic design and illustrates how AI-assisted learning outcome extraction can translate that design into formally issued microcredentials. A conceptual synthesis methodology was employed, integrating literature across educational technology, artificial intelligence in education, epistemic design theory, and microcredential policy. A structured database search across ERIC, Scopus, and Web of Science (January 2015–December 2024) returned 634 candidate sources; after duplicate removal and title/abstract screening against explicit inclusion and exclusion criteria, 124 sources were reviewed in full, and 42 were selected for substantive engagement. The AEDMD framework comprises five epistemically grounded stages: (1) multi-modal AI content analysis; (2) learning outcome extraction and epistemic profiling; (3) epistemic level classification using a Bloom-SOLO synthesis; (4) workload calibration and ECTS credit assignment; and (5) open badge microcredential issuance with portfolio integration. A hypothetical illustrative application to a data science YouTube channel conceptually illustrates the framework’s potential applicability. AEDMD advances epistemic design theory as an analytical lens for informal digital learning, provides a theoretically grounded AI pipeline for extracting learning outcomes, and proposes a potentially scalable microcredential issuance pathway for open and distance learning institutions and higher education providers. Implications for platform providers, content creators, and credential policymakers are discussed.

Keywords

References

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Details

Primary Language

English

Subjects

Informal Learning, Out-of-School Learning, Lifelong learning

Journal Section

Research Article

Authors

Mesut Aydemir ^*
0000-0002-2035-1292
Türkiye

Early Pub Date

August 5, 2026

Publication Date

August 10, 2026

Submission Date

April 15, 2026

Acceptance Date

July 13, 2026

Published in Issue

Year 2026 Volume: 16 Number: 2

DOI

https://doi.org/10.19126/suje.1931440

IZ

https://izlik.org/JA24UH95WP

Cite

RIS / Bibtex

APA

Aydemir, M. (2026). AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance. Sakarya University Journal of Education, 16(2), 280-295. https://doi.org/10.19126/suje.1931440

AMA

1.Aydemir M. AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance. SUJE. 2026;16(2):280-295. doi:10.19126/suje.1931440

Chicago

Aydemir, Mesut. 2026. “AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance”. Sakarya University Journal of Education 16 (2): 280-95. https://doi.org/10.19126/suje.1931440.

EndNote

Aydemir M (August 1, 2026) AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance. Sakarya University Journal of Education 16 2 280–295.

IEEE

[1]M. Aydemir, “AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance”, SUJE, vol. 16, no. 2, pp. 280–295, Aug. 2026, doi: 10.19126/suje.1931440.

ISNAD

Aydemir, Mesut. “AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance”. Sakarya University Journal of Education 16/2 (August 1, 2026): 280-295. https://doi.org/10.19126/suje.1931440.

JAMA

1.Aydemir M. AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance. SUJE. 2026;16:280–295.

MLA

Aydemir, Mesut. “AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance”. Sakarya University Journal of Education, vol. 16, no. 2, Aug. 2026, pp. 280-95, doi:10.19126/suje.1931440.

Vancouver

1.Mesut Aydemir. AI-Assisted Learning Outcome Extraction from Educational YouTube Content: A Conceptual Framework for Microcredential Issuance. SUJE. 2026 Aug. 1;16(2):280-95. doi:10.19126/suje.1931440