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ERIC Number: EJ1212489
Record Type: Journal
Publication Date: 2019
Pages: 31
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1929-7750
From Student Questions to Student Profiles in a Blended Learning Environment
Harrak, Fatima; Bouchet, Fran├žois; Luengo, Vanda
Journal of Learning Analytics, v6 n1 p54-84 2019
The analysis of student questions can be used to improve the learning experience for both students and teachers. We investigated questions (N = 6457) asked before the class by first-year medicine/pharmacy students on an online platform, used by professors to prepare for Q&A sessions. Our long-term objectives are to help professors in categorizing those questions, and to provide students with feedback on the quality of their questions. To do so, we developed a coding scheme and then used it for automatic annotation of the whole corpus. We identified student characteristics from the typology of questions they asked using the k-means algorithm over four courses. Students were clustered based on question dimensions only. Then, we characterized the clusters by attributes not used for clustering, such as student grade, attendance, and number and popularity of questions asked. Two similar clusters always appeared (lower than average students with popular questions, and higher than average students with unpopular questions). We replicated these analyses on the same courses across different years to show the possibility of predicting student profiles online. This work shows the usefulness and validity of our coding scheme and the relevance of this approach to identify different student profiles.
Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A