Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Descriptor
Source
Computer Science Education | 2 |
Author
Bin Tan | 1 |
Hao-Yue Jin | 1 |
Jayce R. Warner | 1 |
Madeline Haynes | 1 |
Maria Cutumisu | 1 |
Nicole D. Martin | 1 |
Stephanie N. Baker | 1 |
Publication Type
Journal Articles | 2 |
Information Analyses | 1 |
Reports - Research | 1 |
Education Level
Elementary Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bin Tan; Hao-Yue Jin; Maria Cutumisu – Computer Science Education, 2024
Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Student Evaluation
Nicole D. Martin; Stephanie N. Baker; Madeline Haynes; Jayce R. Warner – Computer Science Education, 2024
Background and Context: As computer science (CS) education expands and the need for well-prepared CS teachers grows, understanding what motivates teachers to teach CS can help address challenges to recruiting, preparing, and retaining teachers. Objective: The goal of this work was to develop and validate a scale that measures teachers' motivation…
Descriptors: Computer Science Education, Teacher Motivation, Measurement Techniques, Construct Validity