Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Computer Simulation | 2 |
| Genetics | 2 |
| Heredity | 2 |
| Science Instruction | 2 |
| Teaching Methods | 2 |
| Biology | 1 |
| College Science | 1 |
| Computer Assisted Instruction | 1 |
| Computer Software | 1 |
| Higher Education | 1 |
| Laboratory Experiments | 1 |
| More ▼ | |
Author
| Bolker, Ethan | 1 |
| Koolar, Nikunj | 1 |
| Ma, Wei | 1 |
| Maw, Naing Naing | 1 |
| Murphy, P. J. | 1 |
| White, Brian | 1 |
| Yu, Chung Ying | 1 |
Publication Type
| Journal Articles | 2 |
| Guides - Classroom - Teacher | 1 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
| Practitioners | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkWhite, Brian; Bolker, Ethan; Koolar, Nikunj; Ma, Wei; Maw, Naing Naing; Yu, Chung Ying – American Biology Teacher, 2007
This lab is a computer simulation of transmission genetics. It presents students with a genetic phenomenon--the inheritance of a randomly--selected trait. The students' task is to determine how this trait is inherited by designing their own crosses and analyzing the results produced by the software.
Descriptors: Genetics, Computer Simulation, Science Laboratories, Science Instruction
Peer reviewedMurphy, P. J. – Journal of Biological Education, 1986
Discusses the advantages of basing computer simulations on analogues of nature rather than mathematical models. Explains the concept of heritability and describes how a computer simulation can help undergraduate students understand this concept. (ML)
Descriptors: Biology, College Science, Computer Assisted Instruction, Computer Simulation
