Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Experiential Learning | 2 |
Probability | 2 |
Statistical Analysis | 2 |
Undergraduate Students | 2 |
Advanced Courses | 1 |
Bayesian Statistics | 1 |
Class Activities | 1 |
College Mathematics | 1 |
Computer Games | 1 |
Computer Uses in Education | 1 |
Concept Formation | 1 |
More ▼ |
Author
Anupam, Aditya | 1 |
Gupta, Ridhima | 1 |
JafariNaimi, Nassim | 1 |
Naeemi, Azad | 1 |
Robinson, Timothy J. | 1 |
Wulff, Shaun S. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 2 |
Education Level
Higher Education | 2 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Anupam, Aditya; Gupta, Ridhima; Naeemi, Azad; JafariNaimi, Nassim – IEEE Transactions on Education, 2018
Quantum mechanics (QMs) is a foundational subject in many science and engineering fields. It is difficult to teach, however, as it requires a fundamental revision of the assumptions and laws of classical physics and probability. Furthermore, introductory QM courses and texts predominantly focus on the mathematical formulations of the subject and…
Descriptors: Quantum Mechanics, Experiential Learning, Introductory Courses, Educational Games
Wulff, Shaun S.; Robinson, Timothy J. – Journal of Statistics Education, 2014
Bayesian methodology continues to be widely used in statistical applications. As a result, it is increasingly important to introduce students to Bayesian thinking at early stages in their mathematics and statistics education. While many students in upper level probability courses can recite the differences in the Frequentist and Bayesian…
Descriptors: Bayesian Statistics, Probability, College Mathematics, Mathematics Instruction