A Survey on the Effectiveness of Video Based Teaching at University Level

Abstract

This study surveyed the effectiveness of video-based teaching at the university level, specifically identifying the uses and problems associated with video-based instruction. The study was descriptive in nature employing a survey method. The population consisted of all 836 students from the Faculty of Social Sciences at the University of Kotli AJ&K. Using simple random sampling, 270 students were selected as the sample. A five-point Likert scale questionnaire was developed, validated by two educational experts, and tested for reliability using Cronbach's alpha (α = 0.81). Data were collected personally by the researcher and analyzed using SPSS version 23.0 with descriptive statistics. Results indicated strong student agreement regarding the uses of video-based teaching, including introducing students (79% agreement, mean=3.92), presenting case studies (100%, mean=4.44), conducting interviews (100%, mean=4.35), and delivering course information (100%, mean=4.62). Regarding problems, students reported issues with video-based learning (96%, mean=4.29), listening difficulties (96%, mean=4.21), communication problems (91%, mean=4.10), inability to learn social skills (94%, mean=4.14), lack of technological proficiency (97%, mean=4.18), and financial challenges (88%, mean=4.03). Regarding effectiveness, students agreed that video-based teaching creates engaging sensory experiences (87%, mean=3.98), is accessible on multiple devices (95%, mean=4.21), increases student engagement (95%, mean=3.90), offers flexibility to pause and rewind (100%, mean=4.63), enables flipped classrooms (96%, mean=4.16), and facilitates remote learning (100%, mean=4.31). The study concludes that video-based learning is an effective tool for university-level instruction offering numerous benefits; however, significant challenges exist including listening difficulties, communication barriers, limited social skill development, technological proficiency gaps, and financial constraints that need to be addressed for optimal implementation.