Rekomendasi Pembentukan Kelompok Kerja bagi Mahasiswa berbasis Sentiment-Epistemic Analysis

Abstract

Lots of learning methods have been applied to the current learning system. One of the learning methods currently being developed is Collaborative Learning. Collaborative Learning encourages students to interact actively in a work group. The research methodology consists of three steps. The first step is the process of analyzing the sentiment of the textual history of the conversation or discussion from the CLSReborns Forum. The next step is to categorize the text into one of the predetermined epistemic groups. Next, visualize the model in an epistemic network graph based on the singular value decomposition. Finally, the working group's recommendations are built on k-means clustering. This study categorizes sentiment-epistemic analysis into three collaborative aspects, namely: project management, attitudes and technology. The results of this study succeeded in creating to recommend working groups based on epistemic-sentiments.