Live Lecture Comprehension Tracking: Difference between revisions
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Client: Alastair Beresford [[Computer Lab]], <Alastair.Beresford@cl.cam.ac.uk> | |||
Client: | |||
Lecturing a large group is a challenging task, not least because there are few feedback cues: how much of the room is understanding? Too fast? Too slow? Your task is to develop a system that provides a feedback loop. Firstly, it should allow students to rate their current comprehension of lecture material through a mobile app, displaying the aggregated results live as a distribution in a corner of the presented screen. Secondly, the app should allow students to submit questions anonymously that, once upvoted to a preset level, flash up on the screen. | Lecturing a large group is a challenging task, not least because there are few feedback cues: how much of the room is understanding? Too fast? Too slow? Your task is to develop a system that provides a feedback loop. Firstly, it should allow students to rate their current comprehension of lecture material through a mobile app, displaying the aggregated results live as a distribution in a corner of the presented screen. Secondly, the app should allow students to submit questions anonymously that, once upvoted to a preset level, flash up on the screen. | ||
Latest revision as of 10:26, 20 November 2019
Client: Alastair Beresford Computer Lab, <Alastair.Beresford@cl.cam.ac.uk>
Lecturing a large group is a challenging task, not least because there are few feedback cues: how much of the room is understanding? Too fast? Too slow? Your task is to develop a system that provides a feedback loop. Firstly, it should allow students to rate their current comprehension of lecture material through a mobile app, displaying the aggregated results live as a distribution in a corner of the presented screen. Secondly, the app should allow students to submit questions anonymously that, once upvoted to a preset level, flash up on the screen.
