Augmented podcasts: a low bandwidth solution for effective learning

Abstract

The evolution of video has significantly transformed the ways in which educational content is delivered and consumed. Post the pandemic, the digital divide existing in the Indian educational system is more evident, which creates a requirement of low bandwidth educational technologies, without compromising learning effectiveness. This study proposes a new medium: Augmented podcasts (MP3 file + PDF file of the screenshots used in the lecture), an audio narration synchronised with slides, as a more bandwidth-friendly alternative to traditional video lectures. We compare the data consumption and effectiveness of augmented podcasts as an educational tool in comparison to traditional video lectures. The comparison is done based on three main levels of difficulty (low-medium-high) in the assessments of these lectures. The study employs a quantitative approach with an experimental design. Participants from urban areas of Mumbai were initially selected using purposive sampling. These participants were then randomly assigned to either of the two groups: the augmented podcast or video lecture group. Descriptive and inferential statistics, including Mann-Whitney U tests, were used for data analysis In addition to a significant reduction in the data payload compared to video lectures, the findings reveal that augmented podcasts are equally as effective in promoting learning, with no significant differences observed in their test scores in low and medium level learning. However, findings reveal a significant difference in high-level learning. The research also highlights consistent engagement levels with augmented podcasts compared to video lectures, offering key insights for curriculum designers and educators to optimize instructional materials.