Eric N Wiebe
Biographic Data
| ID | 9083992 |
|---|---|
| NAME | Eric N Wiebe |
| GIVEN NAMES | Eric N |
| FAMILY NAME | Wiebe |
| SIGNATURE | WIEBE E N |
| AFFILIATIONS | Department of STEM Education, College of Education North Carolina State University Raleigh North Carolina USA |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Exploring middle school students' interests in computationally intensive science careers
Computationally intensive science (CIS)‐related disciplines and careers are predicted to be among the cutting‐edge fields and high‐demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)‐related understanding and skills. Preparing educational systems for developing interest and abilities for such career paths require a new set of research tools. In this study, we developed and …
Building a computational model of food webs
Integral to fostering computational thinking (CT) skills, which are increasingly essential in today's digital era, has been the shift of paper‐based pictorial modeling activities to computational modeling. Research has indicated that modeling activities can advance students' understanding of a system's mechanism (i.e., systems thinking), such as an ecosystem. The current study examines the impacts of paper‐based pictorial and computational modeli…
The viability of crowdsourcing for survey research
Online contract labor portals (i.e., crowdsourcing) have recently emerged as attractive alternatives to university participant pools for the purposes of collecting survey data for behavioral research. However, prior research has not provided a thorough examination of crowdsourced data for organizational psychology research. We found that, as compared with a traditional university participant pool, crowdsourcing respondents were older, were more e…
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The viability of crowdsourcing for survey research
Online contract labor portals (i.e., crowdsourcing) have recently emerged as attractive alternatives to university participant pools for the purposes of collecting survey data for behavioral research. However, prior research has not provided a thorough examination of crowdsourced data for organizational psychology research. We found that, as compared with a traditional university participant pool, crowdsourcing respondents were older, were more e…
Building a computational model of food webs
Integral to fostering computational thinking (CT) skills, which are increasingly essential in today's digital era, has been the shift of paper‐based pictorial modeling activities to computational modeling. Research has indicated that modeling activities can advance students' understanding of a system's mechanism (i.e., systems thinking), such as an ecosystem. The current study examines the impacts of paper‐based pictorial and computational modeli…
Exploring middle school students' interests in computationally intensive science careers
Computationally intensive science (CIS)‐related disciplines and careers are predicted to be among the cutting‐edge fields and high‐demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)‐related understanding and skills. Preparing educational systems for developing interest and abilities for such career paths require a new set of research tools. In this study, we developed and …
Computer Science (3 works) · Psychology (3 works) · Computational Thinking (2 works) · Innovative Teaching and Learning Methods (2 works) · Mathematics education (2 works) · Science education (2 works) · Teaching and Learning Programming (2 works) · Applied Psychology (1 work) · Career Development and Diversity (1 work) · Computational model (1 work)