Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
Author
| Araya, Roberto | 1 |
| Bart Mesuere | 1 |
| Bram De Wever | 1 |
| Caballero, Daniela | 1 |
| Charlotte Van Petegem | 1 |
| Denis Zhidkikh | 1 |
| Hämäläinen, Raija | 1 |
| Jiménez, Abelino | 1 |
| Lauri Kettunen | 1 |
| Lepp, Marina | 1 |
| Lämsä, Joni | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Location
| Finland | 3 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
Meier, Heidi; Lepp, Marina – Journal of Educational Computing Research, 2023
Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this…
Descriptors: Programming, Introductory Courses, Computer Science Education, Teaching Methods
Lämsä, Joni; Uribe, Pablo; Jiménez, Abelino; Caballero, Daniela; Hämäläinen, Raija; Araya, Roberto – Journal of Learning Analytics, 2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Synchronous Communication, Learning Analytics

Peer reviewed
Direct link
