Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Coding | 4 |
Computer Science Education | 4 |
Learning Analytics | 4 |
Programming Languages | 4 |
Classification | 2 |
Evaluation Methods | 2 |
Introductory Courses | 2 |
Models | 2 |
Programming | 2 |
Teaching Methods | 2 |
Undergraduate Students | 2 |
More ▼ |
Author
Barnes, Tiffany | 2 |
Chi, Min | 2 |
Shi, Yang | 2 |
Christopoulos, Athanasios | 1 |
Laakso, Mikko-Jussi | 1 |
Lokkila, Erno | 1 |
Mao, Ye | 1 |
Marwan, Samiha | 1 |
Mehrotra, Deepti | 1 |
Price, Thomas | 1 |
Price, Thomas W. | 1 |
More ▼ |
Publication Type
Reports - Research | 4 |
Journal Articles | 2 |
Speeches/Meeting Papers | 2 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Virginia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Priyanka, Priyanka Gupta; Mehrotra, Deepti – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: This paper focuses on designing and implementing the rubric for objective JAVA programming assessments. An unsupervised learning approach was used to group learners based on their performance in the results obtained from the rubric, reflecting their learning ability. Background: Students' learning outcomes have been evaluated…
Descriptors: Objective Tests, Outcomes of Education, Scoring Rubrics, Programming Languages
Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics