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) | 5 |
Descriptor
| Computer Simulation | 7 |
| Genetics | 7 |
| Heredity | 7 |
| Science Instruction | 5 |
| Computer Assisted Instruction | 3 |
| Higher Education | 3 |
| Science Education | 3 |
| Biological Sciences | 2 |
| Biology | 2 |
| College Science | 2 |
| Computer Software | 2 |
| More ▼ | |
Source
| American Biology Teacher | 3 |
| Journal of Biological… | 1 |
| Journal of Educational… | 1 |
| Journal of Natural Resources… | 1 |
| Online Submission | 1 |
Author
| Bolker, Ethan | 1 |
| Honeycutt, Brenda B. | 1 |
| Koolar, Nikunj | 1 |
| Latham, Luke G., II | 1 |
| Ma, Wei | 1 |
| Maw, Naing Naing | 1 |
| Michaels, T. E. | 1 |
| Murphy, P. J. | 1 |
| Mustafa Tevfik Hebebci | 1 |
| Pierce, Benjamin A. | 1 |
| Samantha M. Curle Ed. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Descriptive | 3 |
| Reports - Evaluative | 2 |
| Books | 1 |
| Collected Works - Proceedings | 1 |
| Guides - Classroom - Teacher | 1 |
| Opinion Papers | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 2 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
| Practitioners | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textSamantha M. Curle Ed.; Mustafa Tevfik Hebebci – Online Submission, 2023
The International Conference on Academic Studies in Technology and Education (ICASTE) is set to take place at Amara Premier Palace Hotel in Antalya, Turkey, from November 16-19, 2023. Organized by the International Society for Research in Education and Science (ISRES) and the International Society for Academic Research in Science, Technology, and…
Descriptors: Educational Technology, Artificial Intelligence, Higher Education, Learner Engagement
Direct linkSingh, Gurmukh; Siddiqui, Khalid; Singh, Mankiran; Singh, Satpal – Journal of Educational Technology Systems, 2011
The current research article is based on a simple and practical way of employing the computational power of widely available, versatile software MS Excel 2007 to perform interactive computer simulations for undergraduate/graduate students in biology, biochemistry, biophysics, microbiology, medicine in college and university classroom setting. To…
Descriptors: Heredity, Genetics, Biological Sciences, Medical Education
Latham, Luke G., II; Scully, Erik P. – American Biology Teacher, 2008
Evolutionary processes can be studied in nature and in the laboratory, but time and financial constraints result in few opportunities for undergraduate and high school students to explore the agents of genetic change in populations. One alternative to time consuming and expensive teaching laboratories is the use of computer simulations. We…
Descriptors: Computer Simulation, Learning Laboratories, Genetics, Evolution
White, 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
Pierce, Benjamin A.; Honeycutt, Brenda B. – American Biology Teacher, 2007
Probability is an essential tool for understanding heredity and modern genetics, yet many students have difficulty with this topic due to the abstract and quantitative nature of the subject. To facilitate student learning of probability in genetics, we have developed a set of hands-on, cooperative activities that allow students to determine…
Descriptors: Heredity, Learning Activities, Genetics, Statistical Analysis
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
Peer reviewedMichaels, T. E. – Journal of Natural Resources and Life Sciences Education, 1993
Studies the perceived effectiveness of four student projects involving videotape production, computer conferencing, microcomputer simulation, and rapid-cycling Brassica breeding for undergraduate plant breeding students in two course offerings in consecutive years. Linking of the computer conferencing and video projects improved the rating of the…
Descriptors: Agricultural Education, Biological Sciences, Computer Assisted Instruction, Computer Simulation
