Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Computer Science Education | 7 |
Author
Apiola, Mikko | 1 |
Berndt, Sarah | 1 |
Bordeaux, Janice | 1 |
Cooper, Graham | 1 |
Hawlitschek, Anja | 1 |
Herman, Geoffrey L. | 1 |
Kavraki, Lydia E. | 1 |
Mason, Raina | 1 |
McCartney, Robert | 1 |
Moll, Mark | 1 |
Robins, Anthony | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 4 |
Reports - Evaluative | 3 |
Information Analyses | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hawlitschek, Anja; Berndt, Sarah; Schulz, Sandra – Computer Science Education, 2023
Background and Context: Pair programming is an important approach to fostering students' programming and collaborative learning skills. However, the empirical findings on pair programming are mixed, especially concerning effective instructional design. Objective: The objective of this literature review is to provide lecturers with systematic…
Descriptors: Cooperative Learning, Programming, Computer Science Education, College Students
Mason, Raina; Seton, Carolyn; Cooper, Graham – Computer Science Education, 2016
Cognitive load theory (CLT) was used to redesign a Database Systems course for Information Technology students. The redesign was intended to address poor student performance and low satisfaction, and to provide a more relevant foundation in database design and use for subsequent studies and industry. The original course followed the conventional…
Descriptors: Cognitive Processes, Difficulty Level, Databases, Information Technology
Moll, Mark; Bordeaux, Janice; Kavraki, Lydia E. – Computer Science Education, 2013
Motion planning is a core problem in robotics concerned with finding feasible paths for a given robot. Motion planning algorithms perform a search in the high-dimensional continuous space of robot configurations and exemplify many of the core algorithmic concepts of search algorithms and associated data structures. Motion planning algorithms can…
Descriptors: Computer Software, Active Learning, Student Projects, Robotics
Herman, Geoffrey L. – Computer Science Education, 2012
In order to maximize the effectiveness of our pedagogies, we must understand how our pedagogies align with prevailing theories of cognition and motivation and design our pedagogies according to this understanding. When implementing Contributing Student Pedagogies (CSPs), students are expected to make meaningful contributions to the learning of…
Descriptors: Student Motivation, Learning Motivation, Research Universities, Learner Engagement
Apiola, Mikko; Tedre, Matti – Computer Science Education, 2012
Programming education is a widely researched and intensely discussed topic. The literature proposes a broad variety of pedagogical viewpoints, practical approaches, learning theories, motivational vehicles, and other elements of the learning situation. However, little effort has been put on understanding cultural and contextual differences in…
Descriptors: Foreign Countries, Programming, Information Technology, Computer Science Education
Wallace, Scott A.; McCartney, Robert; Russell, Ingrid – Computer Science Education, 2010
Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…
Descriptors: Games, Intercollegiate Cooperation, Curriculum Design, Curriculum Implementation
Robins, Anthony – Computer Science Education, 2010
Compared to other subjects, the typical introductory programming (CS1) course has higher than usual rates of both failing and high grades, creating a characteristic bimodal grade distribution. In this article, I explore two possible explanations. The conventional explanation has been that learners naturally fall into populations of programmers and…
Descriptors: Programming, Learning Processes, Grading, Simulation