Quality of student contributed questions using PeerWise

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Comparing Code Explanations Created by Students and Large Language Models (2023, background): “While learnersourcing techniques could be used to generate code explanations efficiently by directly involving students in their creation [23, 34], there are known issues relating to quality when learning content is sourced from students [1, 9].”
Student-Generated Content: Enhancing learning through sharing multiple-choice questions (2014, background): “There has been relatively little work to date to assess the quality of student engagement; however, Denny, Luxton-Reilly, and Simon (2009) have reported an average question quality of around 3 (on a scale of 0 ¼ nonsense to 5 ¼ exam quality) in computer science modules.”
Crowdsourcing Content Creation for SQL Practice (2020, result): “major differences between the feedback to student- and instructor generated-assignments, which is in line with previous work [14].”
Evaluating the Quality of Learning Resources: A Learnersourcing Approach (2021, background): “In education, it is a common practice to have domain experts evaluate the quality of learning resources [20], [24]; however, the large size of repositories of learning resources created by students makes this approach an expensive and time-consuming activity for domain experts.”