Exploring the context of course rankings on online academic forums
Autor: | Matthew Louvet, Daron Williams, Larry Cox, Bob Edmison, Taha Hassan |
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Rok vydání: | 2019 |
Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences Medical education Instructional design media_common.quotation_subject Multitude Context (language use) Computer Science - Social and Information Networks 02 engineering and technology Variety (cybernetics) Computer Science - Computers and Society Ranking 020204 information systems Perception Computers and Society (cs.CY) 0202 electrical engineering electronic engineering information engineering Institution ComputingMilieux_COMPUTERSANDEDUCATION 020201 artificial intelligence & image processing Quality (business) Psychology media_common |
Zdroj: | ASONAM |
DOI: | 10.48550/arxiv.1907.05846 |
Popis: | University students routinely use the tools provided by online course ranking forums to share and discuss their satisfaction with the quality of instruction and content in a wide variety of courses. Student perception of the efficacy of pedagogies employed in a course is a reflection of a multitude of decisions by professors, instructional designers and university administrators. This complexity has motivated a large body of research on the utility, reliability, and behavioral correlates of course rankings. There is, however, little investigation of the (potential) implicit student bias on these forums towards desirable course outcomes at the institution level. To that end, we examine the connection between course outcomes (student-reported GPA) and the overall ranking of the primary course instructor, as well as rating disparity by nature of course outcomes, based on data from two popular academic rating forums. Our experiments with ranking data about over ten thousand courses taught at Virginia Tech and its 25 SCHEV-approved peer institutions indicate that there is a discernible albeit complex bias towards course outcomes in the professor ratings registered by students. Comment: ASONAM '19. arXiv admin note: substantial text overlap with arXiv:1905.02272 |
Databáze: | OpenAIRE |
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