Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Science Education | 2 |
| Learning Processes | 2 |
| Problem Solving | 2 |
| Programming | 2 |
| College Students | 1 |
| Cooperative Learning | 1 |
| Failure | 1 |
| Fear | 1 |
| Feedback (Response) | 1 |
| Graduate Students | 1 |
| Intervention | 1 |
| More ▼ | |
Source
| Computer Science Education | 2 |
Author
| Boyer, Kristy Elizabeth | 1 |
| Kasia Muldner | 1 |
| Lester, James C. | 1 |
| Phillips, Robert | 1 |
| Vouk, Mladen A. | 1 |
| Wallis, Michael D. | 1 |
| Zachary M. Savelson | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkZachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
Boyer, Kristy Elizabeth; Phillips, Robert; Wallis, Michael D.; Vouk, Mladen A.; Lester, James C. – Computer Science Education, 2009
The majority of computer science education research to date has focused on purely cognitive student outcomes. Understanding the "motivational" states experienced by students may enhance our understanding of the computer science learning process, and may reveal important instructional interventions that could benefit student engagement and…
Descriptors: Computer Science Education, Tutoring, Student Motivation, Learning Processes
