DIGITAL VISUALITIES AND MEDIA PRACTICES: EXPLORING AI-GENERATED NARRATIVES FOR LEARNER ENGAGEMENT IN ESL CLASSROOMS
DOI:
https://doi.org/10.29121/shodhkosh.v7.i1.2026.8365Keywords:
Ai-Generated Visuals, Esl Engagement, Cognitive Load, Visual Narratives, Multimodal LiteracyAbstract [English]
Background: The development of visual storytelling AI generators (DALL-E, Midjourney) has become a common feature of contemporary English as a Second Language (ESL) classes. Nevertheless, the current status and evidence on potential impacts of AI-based visual stories on learners’ engagement exhibit low proficiency.
Purpose: The present research aims at studying the effect of AI-based visual stories on behavioural, emotional, and cognitive engagement of ESL learners in the context of narrative writing within university settings of selected undergraduate students at random in India.
Methodology: A quasi-experiment with a mixed-methods approach was conducted among 48 B2-level undergraduate ESL learners for eight weeks using the author’s AI visual storytelling tool VisNAR. Data collection methods included validated questionnaires measuring engagement both before and after the intervention, cognitive load measurement scales, task completion time records, and semi-structured interviews conducted with 12 participants. These participants voluntarily agreed to take part in the study.
Results: There was a statistically significant rise in behavioural engagement (from M = 3.12, SD = 0.68 pre to M = 4.01, SD = 0.72 post; t(47) = 6.21, p < .001, d = 0.89) as well as emotional engagement (from pre M = 2.95, SD = 0.81 to post M = 3.88, SD = 0.79; t(47) = 5.94, p < .001, d = 0.78). However, no significant changes in cognitive engagement were observed (from pre-M = 3.45, SD = 0.70 to post M = 3.52, SD = 0.84, p = .557). Perceived cognitive load dropped from M = 5.2 to M = 4.1 (p = .03). According to the results of thematic analysis of qualitative data, visual stimuli were a "spark" to initiate writing activities in 11 out of 12 cases, while cognitive overload occurred in six out of 12 cases owing to the number of visual-stimuli details; moreover, visual fixation and passive imitation of AI-generated content were reported in five out of 12 cases.
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Copyright (c) 2026 Dr. P. Madhan, Dr. Julius Irudayasamy, Dr. M. Natarajan

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