Work

AI-assisted audio-learning improves academic achievement through motivation and reading engagement

Year: 2024

Type: article

Study designs: Randomized Controlled Trial, Clinical Trial

Abstract: Artificial intelligence (AI) is transforming education by enabling the creation of innovative learning resources that may cater to diverse learning needs. One such resource is audio content, which provides a flexible and accessible supplement to traditional educational content. While audio content, such as podcasts, is widely popular, its effect on academic achievement remains underexplored. This pre-registered randomized controlled trial investigated the impact of AI-assisted audio-learning modules on academic achievement, with a particular focus on the mediating roles of motivation and reading engagement. Results showed that the audio-learning modules increased student motivation and reading engagement. Importantly, audio-learning driven increases in motivation and reading engagement boosted academic achievement. Furthermore, students with greater ADHD symptom severity particularly benefited from the audio-learning modules, as they played a crucial role in determining course success. Together, this study highlights the potential of AI-assisted audio-learning modules as a valuable tool in digital education environments, catering to diverse learning needs and improving educational outcomes.

Source: Computers and Education Artificial Intelligence

DOI: 10.1016/j.caeai.2024.100357

Authors: Nanda R. Jafarian, Anne-Wil Kramer

Institution: University of Amsterdam

Language: English

Topic: Innovations in Educational Methods

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $2,210