Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 4 |
Descriptor
Source
Computer Science Education | 1 |
European Journal of… | 1 |
IEEE Transactions on Learning… | 1 |
Journal of Educational… | 1 |
Author
Laakso, Mikko-Jussi | 2 |
Lindén, Rolf | 2 |
Auvinen, Tapio | 1 |
D'Souza, Daryl | 1 |
Hakulinen, Lasse | 1 |
Kaila, Erkki | 1 |
Liitiäinen, Elia | 1 |
Malmi, Lauri | 1 |
Rajala, Teemu | 1 |
Salakoski, Tapio | 1 |
Veerasamy, Ashok Kumar | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Education Level
Higher Education | 4 |
Postsecondary Education | 2 |
Audience
Location
Finland | 4 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Xia, Belle Selene; Liitiäinen, Elia – European Journal of Engineering Education, 2017
The benefits of using online exercises have been analysed in terms of distance learning, automatic assessment and self-regulated learning. In this study, we have not found a direct proportional relationship between student performance in the course exercises that use online technologies and the exam grades. We see that the average submission rate…
Descriptors: Computer Science Education, Electronic Learning, Programming, Academic Achievement
Veerasamy, Ashok Kumar; D'Souza, Daryl; Lindén, Rolf; Laakso, Mikko-Jussi – Journal of Educational Computing Research, 2018
In this article, we report the results of the impact of prior programming knowledge (PPK) on lecture attendance (LA) and on subsequent final programming exam performance in a university level introductory programming course. This study used Spearman's rank correlation coefficient, multiple regression, Kruskal-Wallis, and Bonferroni correction…
Descriptors: Prior Learning, Programming, Computer Science Education, Lecture Method
Willman, Salla; Lindén, Rolf; Kaila, Erkki; Rajala, Teemu; Laakso, Mikko-Jussi; Salakoski, Tapio – Computer Science Education, 2015
Computer aided assessment systems enable the collection of exact time and date information on students' activity on a course. These activity patterns reflect students' study habits and these study habits further predict students' likelihood to pass or fail a course. By identifying such patterns, those who design the courses can enforce positive…
Descriptors: Foreign Countries, Study Habits, Introductory Courses, Programming
Auvinen, Tapio; Hakulinen, Lasse; Malmi, Lauri – IEEE Transactions on Learning Technologies, 2015
In online learning environments where automatic assessment is used, students often resort to harmful study practices such as procrastination and trial-and-error. In this paper, we study two teaching interventions that were designed to address these issues in a university-level computer science course. In the first intervention, we used achievement…
Descriptors: Student Behavior, Electronic Learning, Online Courses, Computer Assisted Testing