Conference proceeding
Active Learning Techniques for Preparing NeuroIS Researchers
INFORMATION SYSTEMS AND NEUROSCIENCE (NEUROIS RETREAT 2021), v 52, pp 172-177
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The field of neuroIS is rapidly evolving, and there is a need to create a research and work force at various levels of the academy ranging from undergraduate students to professors. Motivation is not an issue with neuroIS as students are typically excited to learn, but how do we teach them the skills they need to succeed? Active learning is a pedagogical technique that has a natural fit with neuroIS. It focuses on the higher levels of learning that are essential in the field. This paper is an introduction to active learning for the benefit of the neuroIS community. It discusses examples of what can be done as well as challenges that need to be overcome.
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Details
- Title
- Active Learning Techniques for Preparing NeuroIS Researchers
- Creators
- Arjan Raven - Temple UniversityAdriane B. Randolph - Kennesaw State University
- Contributors
- F D Davis (Editor)R Riedl (Editor)J VomBrocke (Editor)P M Leger (Editor)A B Randolph (Editor) - Kennesaw State UniversityG MullerPutz (Editor)
- Publication Details
- INFORMATION SYSTEMS AND NEUROSCIENCE (NEUROIS RETREAT 2021), v 52, pp 172-177
- Series
- Lecture Notes in Information Systems and Organization
- Publisher
- Springer Nature
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000769651300019
- Scopus ID
- 2-s2.0-85119409486
- Other Identifier
- 991021861845804721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Behavioral Sciences
- Computer Science, Information Systems
- Neurosciences
- Psychology, Biological