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Multimodal Teaching And Learning Analytics, Ali Ravaee, Adrian Yung, Hamid Zargar
Multimodal Teaching And Learning Analytics, Ali Ravaee, Adrian Yung, Hamid Zargar
Undergraduate Student Research Internships Conference
Our teaching analytics tool, is a responsive web application that consists of three main sections. The topic modelling section consists of the determination of main topics and topic relationships within text data such as class discussions or research articles through a Linear Discriminant Analysis (LDA) machine learning model. Initial data undergoes a number of preprocessing steps including removal of duplicates and outliers, lemmatization, and filtering by frequency and Term Frequency - Inverse Document Frequency (TF-IDF) scores before various visualizations are created. These visualizations include the identified topics and top words within each topic, a topic network graph for displaying interactions …