Potential of LLMs and Automated Text Analysis in Interpreting Student Course Feedback

Integrating Large Language Models (LLMs) with automated text analysis tools offers a novel approach to interpreting student course feedback. As educators and administrators strive to refine teaching methods and enhance learning experiences, leveraging AI’s capabilities could unlock more profound insights from student feedback. Traditionally seen as a vast collection of qualitative data filled with sentiments, …

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Data-Driven Decision-Maker

Photo by Oskar Kadaksoo on unsphash.com ISTE standard for Coaches 4.6, The Data-Driven Decision-Maker, states: “Coaches model and support the use of qualitative and quantitative data to inform their own instruction and professional learning.” Performance indicators: 4.6.a. Assist educators and leaders in securely collecting and analyzing student data. 4.6.b. Support educators to interpret qualitative and […]

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