Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Author
Russell, Ingrid | 2 |
Baumsteiger, Rachel | 1 |
Brackett, Marc A. | 1 |
Bradley, Christina | 1 |
Cipriano, Christina | 1 |
Coleman, Susan | 1 |
Hills, Elinor | 1 |
Hoffmann, Jessica D. | 1 |
Markov, Zdravko | 1 |
McCartney, Robert | 1 |
Neller, Todd | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Evaluative | 2 |
Reports - Research | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Secondary Education | 1 |
Audience
Location
Connecticut | 3 |
California | 1 |
New Hampshire | 1 |
New York | 1 |
Pennsylvania | 1 |
Virginia | 1 |
Washington | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hoffmann, Jessica D.; Baumsteiger, Rachel; Seibyl, Jennifer; Hills, Elinor; Bradley, Christina; Cipriano, Christina; Brackett, Marc A. – Assessment in Education: Principles, Policy & Practice, 2022
Practical educational assessment tools for adolescents champion student voice, use technology to enhance engagement, highlight discrepancies in school experience, and provide actionable feedback. We report a series of studies that detail an iterative process for developing a new school climate assessment tool: (1) item generation that centres…
Descriptors: Computer Oriented Programs, Computer Software, Programming, Evaluation Methods
Russell, Ingrid; Markov, Zdravko; Neller, Todd; Coleman, Susan – ACM Transactions on Computing Education, 2010
Our approach to teaching introductory artificial intelligence (AI) unifies its diverse core topics through a theme of machine learning, and emphasizes how AI relates more broadly with computer science. Our work, funded by a grant from the National Science Foundation, involves the development, implementation, and testing of a suite of projects that…
Descriptors: Artificial Intelligence, Program Effectiveness, Computer Science, Teaching Methods
Wallace, Scott A.; McCartney, Robert; Russell, Ingrid – Computer Science Education, 2010
Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…
Descriptors: Games, Intercollegiate Cooperation, Curriculum Design, Curriculum Implementation