Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
Descriptor
| Computer Software | 3 |
| Programming Languages | 3 |
| Artificial Intelligence | 2 |
| Statistics Education | 2 |
| Anxiety | 1 |
| Barriers | 1 |
| COVID-19 | 1 |
| College Faculty | 1 |
| Computer Assisted Testing | 1 |
| Constructivism (Learning) | 1 |
| Costs | 1 |
| More ▼ | |
Author
| Christine Eith | 1 |
| Denise Zawada | 1 |
| Jila Niknejad | 1 |
| Margaret Bayer | 1 |
| R. Allen Kimel | 1 |
| Rebecca Napolitano | 1 |
| Reed Williams | 1 |
| Ryan Solnosky | 1 |
| Wesley F. Reinhart | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Evaluative | 3 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jila Niknejad; Margaret Bayer – International Journal of Mathematical Education in Science and Technology, 2025
In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…
Descriptors: Mathematics Instruction, Mathematics Tests, Computer Assisted Testing, Computer Software
Wesley F. Reinhart; Reed Williams; Ryan Solnosky; R. Allen Kimel; Rebecca Napolitano – Advances in Engineering Education, 2025
Data science has become an increasingly popular topic among engineering students and practitioners as high-profile engineering applications of machine learning and artificial intelligence continue to make headlines. Companies in engineering domains are placing a growing emphasis on hiring engineers who can extract insights and create value from…
Descriptors: Engineering Education, Statistics Education, Education Work Relationship, Artificial Intelligence
Christine Eith; Denise Zawada – Impacting Education: Journal on Transforming Professional Practice, 2025
This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…
Descriptors: Doctoral Programs, Artificial Intelligence, Technology Integration, Statistics Education

Peer reviewed
Direct link
