Qualitative Findings from Study of Interdisciplinary Education in Computational Modeling for Life Sciences Student Researchers from Emerging Research Institutions.
Aasakiran MadamanchiShenika V. PoindexterMonica E. CardellaJames A. GlazierDavid M. UmulisPublished in: FIE (2018)
Keyphrases
- life sciences
- computational modeling
- university level
- quantitative methods
- quantitative data
- academic institutions
- theoretical frameworks
- computational models
- student centered
- scientific data
- computer science
- case study
- information systems
- artificial intelligence
- learning styles
- multiple intelligences
- teacher education
- learning theories
- e learning
- introductory computer
- industrial applications
- preservice teachers
- educational institutions
- data sets
- student learning
- computational intelligence
- association rules
- data analysis
- real world