Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 3 |
Descriptor
Author
| Barnes, Tiffany | 1 |
| Bers, Marina Umaschi | 1 |
| Chi, Min | 1 |
| Govind, Madhu | 1 |
| Hassenfeld, Ziva R. | 1 |
| John Bacher | 1 |
| Keith Tran | 1 |
| Kenneth Koedinger | 1 |
| Min Chi | 1 |
| Price, Thomas | 1 |
| Robin Schmucker | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 2 | 1 |
| Primary Education | 1 |
Audience
Location
| Virginia | 3 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textYang Shi; Robin Schmucker; Keith Tran; John Bacher; Kenneth Koedinger; Thomas Price; Min Chi; Tiffany Barnes – Journal of Educational Data Mining, 2024
Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and,…
Descriptors: Programming Languages, Undergraduate Students, Learning Processes, Teaching Models
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
Direct linkHassenfeld, Ziva R.; Govind, Madhu; de Ruiter, Laura E.; Bers, Marina Umaschi – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This paper presents findings on a curricular intervention aimed at integrating computer programming with reading and writing in early elementary school. The purpose of this research was to explore the relation between students' varying literacy levels and their level of success in mastering an introductory programming language.…
Descriptors: Programming, Teaching Methods, Introductory Courses, Scores
