Enhancing EFL Higher Education through Fliki Videos: An Artificial Intelligence Implementation Approach

Abstract

Artificial Intelligence (AI) presents different opportunities for enhancing personalized learning experiences within the field of English as a Foreign Language (EFL) education. Its capacity for adaptive learning is particularly noteworthy, as it caters to individual students’ unique styles. In this context, the purpose of this study was to investigate the impact of Fliki AI videos on EFL teaching and learning and determine students’ perceptions of their use. The participants included 84 pre-service EFL teachers at a private university in Ecuador. A mixed-method design was used to analyze quantitative and qualitative data. Instruments were diagnostic and perception questionnaires and an interview. The main findings revealed that Fliki AI videos effectively enhanced student engagement and comprehension. Additionally, participants reported improved understanding of linguistic and pedagogical concepts through clear explanations and visual representations provided by the videos. The adaptability of Fliki AI videos allowed for personalized learning experiences, while supplementary activities reinforced learning outcomes. Further research could explore optimal design features and instructional strategies for maximizing the effectiveness of these resources.