Deriving Learner-Centric Platform Features Through Customer Review Mining

Titelangaben

Grüneke, Timo:
Deriving Learner-Centric Platform Features Through Customer Review Mining.
In: Proceedings of the 32nd European Conference on Information Systems (ECIS). - Paphos, Cyprus , 2024

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Abstract

In an age where digital platforms are revolutionizing education, our study critically examines MOOCs, focusing on the nuanced interplay between platform product features and learner satisfaction. By analyzing 142,976 Coursera reviews using natural language processing (NLP) and supplementing this with data from various platforms, we uncover specific platform features to research learner satisfaction in the future. This deep dive, utilizing Latent Dirichlet Allocations (LDA) for topic modeling, reveals insights into what learners’ value in their online education journey. Thereby, we identify 32 essential features, categorized into seven structural characteristics. This research not only fills a significant gap in understanding the crucial role of platform features in shaping learner satisfaction in MOOCs but also offers insights for platform providers to act on. These insights are key to enhancing the digital learning experience, ensuring that platforms meet and exceed the evolving expectations of learners in this dynamic educational landscape.