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ERIC Number: EJ1426781
Record Type: Journal
Publication Date: 2024
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0268-0513
EISSN: EISSN-1469-9958
Changing the Recent Past to Reduce Ongoing Dropout: An Early Learning Analytics Intervention for an Online Statistics Course
Josep Figueroa-Cañas; Teresa Sancho-Vinuesa
Open Learning, v39 n3 p194-211 2024
Practitioners of the statistics course embedded in a computer science programme at a fully online university were concerned with the high dropout rate. In the academic year 2018-19, they decided to carry out a two-phase project in order to address this issue. In the first phase, an early classifier to identify students at risk of dropping out of the 2018-19 statistics course was determined. The second phase was planned to design and implement an early intervention based on the results of the first phase. This article presents the analysis of this intervention. In the 2019-20 online statistics course, 35 students did not submit the first few quizzes before the respective deadlines. They were the target of this intervention, which gave them the chance to change their recent past by submitting the unsubmitted quizzes. Students were encouraged to change by means of an email message. The aim of the intervention was to reduce the dropout rate among the targeted students. Our analysis also includes the students' perception of the intervention collected via a set of interviews. The results show that the intervention clearly had a beneficial effect for some students.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Spain
Grant or Contract Numbers: N/A