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Student Perception on AI-Driven Assessment : Motivation, Engagement and Feedback Capabilities

Fahmy, Yasin (2024) Student Perception on AI-Driven Assessment : Motivation, Engagement and Feedback Capabilities.

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Abstract:Motivation and engagement are essential for students to thrive in academia. With high student-to-teacher ratios, some students seek more feedback than they receive. To achieve on-demand feedback loops, employing AI-driven assessment is possible. Interviews with students have given insights into the perceived influence of AI assessment on different dimensions of motivation and engagement. Our results revealed that personalized and on-demand AI feedback could fulfill autonomy and competence needs, improving motivation. For engagement, it may reduce student attendance but increase cognitive effort put into studies. Lastly, students had mixed emotional responses to AI-driven assessment and how it would affect their relatedness to peers, professors, and the institute.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Programme:Business & IT BSc (56066)
Link to this item:https://purl.utwente.nl/essays/100985
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