Effects of Generative AI Feedback and Interactive Video Assessment on Student Learning Achievement in Philological Content Creation Courses

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Bibliographic Details
Title: Effects of Generative AI Feedback and Interactive Video Assessment on Student Learning Achievement in Philological Content Creation Courses
Language: English
Authors: Nikolaos Pellas (ORCID 0000-0002-3071-6275)
Source: Journal of Educational Computing Research. 2026 64(1):16-58.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 43
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Computer Mediated Communication, Video Technology, Academic Achievement, Skill Development, Interactive Video, Instructional Design, Mastery Learning, Effect Size, Self Efficacy, Linguistics, Reading Comprehension
DOI: 10.1177/07356331251372800
ISSN: 0735-6331
1541-4140
Abstract: Despite the increasing integration of generative Artificial Intelligence (GenAI) in education, a significant research gap exists in its comparative effectiveness against traditional instructor-led guidance in specialized humanities like philology. This quasi-experimental study compares an experimental group (EG, n = 26), using GenAI chatbots for conceptual understanding and GenAI platforms to create interactive materials from classical texts, with a control group (CG, n = 26) receiving standard instruction. This study investigates the impact of GenAI-assisted instructional design on students' learning achievements and empowerment in using GenAI within real-world contexts. It specifically examines if there is a statistically significant difference (a) in philological content mastery--defined as understanding classical or modern texts/themes--and (b) in perceived empowerment in using GenAI (self-efficacy, impact, and meaningfulness). The findings indicate that the EG significantly outperformed the CG in mastering philological content, with a notably higher adjusted post-test mean score and a large effect size. The same group also reported substantially greater perceived empowerment in using GenAI within real-world contexts, demonstrating strong increases in self-efficacy, impact, and meaningfulness compared to their counterparts in the CG. Implications suggest integrating GenAI into philology curricula foster engagement, autonomy, and confidence in creative tasks, provided educators mitigate risks to analytical rigor through intentional design.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1490785
Database: ERIC
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