Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Introductory Courses | 3 |
Computer Science Education | 2 |
Programming | 2 |
Academic Degrees | 1 |
Accuracy | 1 |
Administrator Attitudes | 1 |
Advanced Placement | 1 |
Automation | 1 |
Classification | 1 |
College Students | 1 |
Comparative Analysis | 1 |
More ▼ |
Author
Brennan Bean | 1 |
Christensen, James | 1 |
Ellsworth, Jordan | 1 |
Heiner, Cecily | 1 |
Hu, Helen | 1 |
Rich, Peter Jacob | 1 |
Zachary, Joseph L. | 1 |
Publication Type
Reports - Research | 2 |
Journal Articles | 1 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Postsecondary Education | 3 |
Higher Education | 2 |
Elementary Education | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Utah | 3 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Brennan Bean – Journal on Empowering Teaching Excellence, 2023
Modern technology threatens traditional modes of classroom assessment by providing students with automated ways to write essays and take exams. At the same time, modern technology continues to expand the accessibility of computational tools that promise to increase the potential scope and quality of class projects. This paper presents a case study…
Descriptors: Introductory Courses, Data Science, Student Projects, Programming
Rich, Peter Jacob; Hu, Helen; Christensen, James; Ellsworth, Jordan – Grantee Submission, 2019
This report provides a comprehensive look at computer science (CS) education across Utah elementary, middle/jr. high, and high schools as of 2018. The Utah Expanding Computing Education Pathways (ECEP) team sent out a survey to all public schools in the state of Utah. The survey presented targeted questions depending on whether it was completed…
Descriptors: Computer Science Education, Public Schools, Teacher Attitudes, Enrollment Trends
Heiner, Cecily; Zachary, Joseph L. – International Working Group on Educational Data Mining, 2009
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…
Descriptors: Classification, Questioning Techniques, Introductory Courses, Computer Science Education