Stephen B Gilbert
Biographic Data
| ID | 6477363 |
|---|---|
| NAME | Stephen B Gilbert |
| GIVEN NAMES | Stephen B |
| FAMILY NAME | Gilbert |
| SIGNATURE | GILBERT S B |
| AFFILIATIONS | Iowa State University |
| ORCID | 0000-0002-5332-029X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Preparing future teachers for AI-enhanced science classrooms
Grounded in qualitative data from 30 elementary teacher candidates (ETCs) in the Midwestern U.S., this case study examines ETCs’ readiness for AI-enhanced classrooms and finds that ETCs hold moderate to low confidence in teaching biology, yet express a desire to teach it more engaging for young learners. Although many ETCs had negative or vague prior perceptions of Artificial Intelligence in education (AIEd), guided classroom experiences helped t…
Predicting cybersickness using individual and task characteristics
Examining virtual reality as a platform for developing mental models of industrial systems
Industrial systems can be complex and not intuitive to perceive. Therefore, students in technology and engineering programs can benefit from developing mental models of industrial systems during their journey in college. However, more often than not, these students do not have access to industrial facilities; thus, developing mental models for systems is a challenge. This paper examines the merit of an Immersive Virtual Reality (IVR) framework ap…
Evaluating the effect of displaying team vs. individual metrics on team performance
This work explores the assessment dimension of persistent feedback to a team, i.e., how presenting feedback based on individual scores vs. team scores vs. both (I&T) affects team performance and team dynamics of a three-person team. Various studies have attempted to determine which level of feedback interdependence (i.e., individual vs. team vs. I&T), presented within a collaborative context, produced optimal team performance. The studies have sh…
Evaluation of an intelligent team tutoring system for a collaborative two-person problem
Assessing the validity of facilitated-volunteered geographic information
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Assessing the validity of facilitated-volunteered geographic information
Evaluation of an intelligent team tutoring system for a collaborative two-person problem
Evaluating the effect of displaying team vs. individual metrics on team performance
This work explores the assessment dimension of persistent feedback to a team, i.e., how presenting feedback based on individual scores vs. team scores vs. both (I&T) affects team performance and team dynamics of a three-person team. Various studies have attempted to determine which level of feedback interdependence (i.e., individual vs. team vs. I&T), presented within a collaborative context, produced optimal team performance. The studies have sh…
Predicting cybersickness using individual and task characteristics
Examining virtual reality as a platform for developing mental models of industrial systems
Industrial systems can be complex and not intuitive to perceive. Therefore, students in technology and engineering programs can benefit from developing mental models of industrial systems during their journey in college. However, more often than not, these students do not have access to industrial facilities; thus, developing mental models for systems is a challenge. This paper examines the merit of an Immersive Virtual Reality (IVR) framework ap…
Preparing future teachers for AI-enhanced science classrooms
Grounded in qualitative data from 30 elementary teacher candidates (ETCs) in the Midwestern U.S., this case study examines ETCs’ readiness for AI-enhanced classrooms and finds that ETCs hold moderate to low confidence in teaching biology, yet express a desire to teach it more engaging for young learners. Although many ETCs had negative or vague prior perceptions of Artificial Intelligence in education (AIEd), guided classroom experiences helped t…
Computer Science (5 works) · Psychology (5 works) · Human–computer interaction (4 works) · Applied Psychology (3 works) · Engineering (3 works) · Multimedia (3 works) · Intelligent Tutoring Systems and Adaptive Learning (2 works) · Virtual reality (2 works) · Virtual Reality Applications and Impacts (2 works) · Workload (2 works)