Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Computer Science Education | 7 |
Author
Alaoutinen, Satu | 1 |
Bati, Tesfaye Bayu | 1 |
Ben-Ari, Mordechai | 1 |
Bers, Marina U. | 1 |
Fowler, Max | 1 |
Gelderblom, Helene | 1 |
Hassan, Mohammed | 1 |
Kaila, Erkki | 1 |
Laakso, Mikko-Jussi | 1 |
Levy, Ronit Ben-Bassat | 1 |
Lindén, Rolf | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Education Level
Higher Education | 6 |
Postsecondary Education | 4 |
Elementary Education | 1 |
Audience
Location
Ethiopia | 1 |
Finland | 1 |
Washington | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Study Process Questionnaire | 1 |
What Works Clearinghouse Rating
Fowler, Max; Smith, David H., IV; Hassan, Mohammed; Poulsen, Seth; West, Matthew; Zilles, Craig – Computer Science Education, 2022
Background and Context: Lopez and Lister first presented evidence for a skill hierarchy of code reading, tracing, and writing for introductory programming students. Further support for this hierarchy could help computer science educators sequence course content to best build student programming skill. Objective: This study aims to replicate a…
Descriptors: Programming, Computer Science Education, Correlation, Introductory Courses
de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education
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
Alaoutinen, Satu – Computer Science Education, 2012
This study evaluates a new taxonomy-based self-assessment scale and examines factors that affect assessment accuracy and course performance. The scale is based on Bloom's Revised Taxonomy and is evaluated by comparing students' self-assessment results with course performance in a programming course. Correlation has been used to reveal possible…
Descriptors: Advanced Students, Cognitive Style, Measures (Individuals), Program Effectiveness
Bati, Tesfaye Bayu; Gelderblom, Helene; van Biljon, Judy – Computer Science Education, 2014
The challenge of teaching programming in higher education is complicated by problems associated with large class teaching, a prevalent situation in many developing countries. This paper reports on an investigation into the use of a blended learning approach to teaching and learning of programming in a class of more than 200 students. A course and…
Descriptors: Foreign Countries, Teaching Methods, Blended Learning, Educational Technology
Levy, Ronit Ben-Bassat; Ben-Ari, Mordechai – Computer Science Education, 2009
This article describes how research methodologies were modified and integrated during the doctoral research conducted by the first author under the supervision of the second author. The research project concerned trying to understand why teachers do or don't use "Jeliot", a program animation system designed to facilitate teaching and learning of…
Descriptors: Animation, Behavior Theories, Research Methodology, Social Psychology
Tenenberg, Josh; Murphy, Laurie – Computer Science Education, 2005
This paper describes an empirical study that investigated the knowledge that Computer Science students have about the extent of their own previous learning. The study compared self-generated estimates of performance with actual performance on a data structures quiz taken by undergraduate students in courses requiring data structures as a…
Descriptors: Feedback (Response), Undergraduate Students, Student Attitudes, Prior Learning