ERIC - Search Results

Publication Date

In 2025	0
Since 2024	1
Since 2021 (last 5 years)	1
Since 2016 (last 10 years)	2
Since 2006 (last 20 years)	2

Descriptor

Academic Achievement	2
Learning Processes	2
Programming	2
Assignments	1
Computer Mediated…	1
Computer Science Education	1
Correlation	1
Course Descriptions	1
Grades (Scholastic)	1
Group Discussion	1
High Achievement	1
Introductory Courses	1
Learning Strategies	1
Learning Theories	1
Low Achievement	1
Measurement Techniques	1
Online Courses	1
Outcomes of Education	1
Prediction	1
Self Control	1
Self Management	1
Social Behavior	1
Student Participation	1
Undergraduate Students	1
Validity	1
More ▼

Source

ACM Transactions on Computing…

Author

Adesope, Olusola	1
Anabela Gomes	1
António Mendes	1
Carter, Adam S.	1
Gabriel Fortes	1
Hundhausen, Christopher D.	1
Leonardo Silva	1

Publication Type

Journal Articles	2
Reports - Research	2

Education Level

Higher Education	1
Postsecondary Education	1

Audience

Location

Washington

Laws, Policies, & Programs

Assessments and Surveys

What Works Clearinghouse Rating

Showing all 2 results Save | Export

What Learning Strategies Are Used by Programming Students? A Qualitative Study Grounded on the Self-Regulation of Learning Theory

Peer reviewed

Direct link

Leonardo Silva; António Mendes; Anabela Gomes; Gabriel Fortes – ACM Transactions on Computing Education, 2024

Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students…

Descriptors: Learning Strategies, Programming, Self Management, Introductory Courses

Blending Measures of Programming and Social Behavior into Predictive Models of Student Achievement in Early Computing Courses

Peer reviewed

Direct link

Carter, Adam S.; Hundhausen, Christopher D.; Adesope, Olusola – ACM Transactions on Computing Education, 2017

Analyzing the process data of students as they complete programming assignments has the potential to provide computing educators with insights into both their students and the processes by which they learn to program. In prior research, we explored the relationship between (a) students' programming behaviors and course outcomes, and (b) students'…

Descriptors: Social Behavior, Academic Achievement, Programming, Computer Science Education