Identifying Students Struggling in Courses by Analyzing Exam Grades, Self-reported Measures and Study Activities

Bianca Clavio Christensen, Brian Bemman, Hendrik Knoche, Rikke Gade

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Abstrakt

Technical educations often experience poor student performance and consequently high rates of attrition. Providing students with early feedback on their learning progress can assist students in self-study activities or in their decision-making process regarding a change in educational direction. In this paper, we present a set of instrument`s designed to identify at-risk undergraduate students in a Problem-based Learning (PBL) university, using an introductory programming course between two campus locations as a case study. Collectively, these instruments form the basis of a proposed learning ecosystem designed to identify struggling students by predicting their final exam grades in this course. We implemented this ecosystem at one of the two campus locations and analyzed how well the obtained data predicted the final exam grades compared to the other campus, where midterm exam grades alone were used in the prediction model. Results of a multiple linear regression model found several significant assessment predictors related to how often students attempted self-guided course assignments and their self-reported programming experience, among others.
OriginalsprogEngelsk
TitelThe Interplay of Data, Technology, Place and People for Smart Learning : Proceedings of the 3rd International Conference on Smart Learning Ecosystems and Regional Development
RedaktørerHendrik Knoche, Elvira Popescu, Antonio Cartelli
Antal sider10
ForlagSpringer
Publikationsdato2018
Sider167-176
ISBN (Trykt)978-3-319-92021-4
ISBN (Elektronisk)978-3-319-92022-1
DOI
StatusUdgivet - 2018
Begivenhed3rd International Conference on Smart Learning Ecosystems and Regional Development: The interplay of data, technology, place and people - Aalborg University, Aalborg, Danmark
Varighed: 23 maj 201825 maj 2018
http://slerd.org/2018

Konference

Konference3rd International Conference on Smart Learning Ecosystems and Regional Development
LokationAalborg University
Land/OmrådeDanmark
ByAalborg
Periode23/05/201825/05/2018
Internetadresse
NavnSmart Innovation, Systems and Technologies
Vol/bind95
ISSN2190-3018

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