Institutions | About Us | Help | Gaeilge
rian logo


Mark
Go Back
Predictive modelling of student reviewing behaviors in an introductory programming course
Vance Paredes, Yancy; Azcona, David; Hsiao, I-Han; Smeaton, Alan F.
In this paper, we developed predictive models based on students’ reviewing behaviors in an Introductory Programming course. These patterns were captured using an educational technology that students used to review their graded paper- based assessments. Models were trained and tested with the goal of identifying students’ academic performance and those who might be in need of assistance. The results of the retrospective analysis show a reasonable accuracy. This suggests the possibility of developing interventions for students, such as providing feedback in the form of effective reviewing strategies.
Keyword(s): Artificial intelligence; Machine learning; Educational technology; Programming Learning; Educational Technology; Educational Data Mining; Predictive Modelling; Behavioral Analytics
Publication Date:
2018
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Vance Paredes, Yancy, Azcona, David ORCID: 0000-0003-3693-7906 <https://orcid.org/0000-0003-3693-7906>, Hsiao, I-Han ORCID: 0000-0002-1888-3951 <https://orcid.org/0000-0002-1888-3951> and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> (2018) Predictive modelling of student reviewing behaviors in an introductory programming course. In: Educational Data Mining in Computer Science Education (CSEDM) Workshop at Educational Data Mining 2018, 15 - 18 July 2018, Buffalo, New York, US.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/22540/1/Predictive%20Modelling%20of%20Student%20Reviewing%20Behaviors%20in%20an%20Introductory%20Programming%20Course.pdf,
https://drive.google.com/file/d/1Be6Sl8YTamPY0OHAFCdL2MGC5ZxItUOw/view
First Indexed: 2018-08-09 06:13:52 Last Updated: 2019-02-12 06:07:20