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This article explores the integration of user engagement metrics in online courses, focusing on various data points such as survey responses, spam counts, and feedback sessions. We analyze how instructors and students interact through different formats, including multiple-choice questions and free response text. The importance of tracking user identifiers (u_id) and session timestamps is emphasized, along with strategies to improve course design based on feedback. Utilizing effective data collection and analysis can foster a more engaging learning environment.
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u_id Password/hash email Incognito Database User s_id Spam count Instructor Student isa isa Survey attends teaches c_id has Mailing list has Course name has has Multiple Choice Free Response text Time Stamp Session has text has s_id Answers has has Choices text Feedback Question # of votes text u_id q_id count Read? u_id # of votes text f_id Answered? text
Password/hash email u_id u_id a_id fr_id text User Free Response text Answers p_id text c_id Choice # Surveys isa isa has count Choices Instructor Student has attends text Read? Spam count teaches text s_id f_id # of votes has text Feedback session has q_id Course has # of votes Question Mailing list c_id Time Stamp name Answered?