Richard L. Lamb

Orcid: 0000-0002-5730-9055

Affiliations:
  • East Carolina University, Neurocognition Science Laboratory, Greenville, NC, USA
  • University at Buffalo, NY, USA (former)
  • Washington State University, Pullman, WA, USA (former)
  • George Mason University, Fairfax, VA, USA (PhD 2013)


According to our database1, Richard L. Lamb authored at least 17 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Machine learning prediction of mental health strategy selection in school aged children using neurocognitive data.
Comput. Hum. Behav., 2024

2022
The moderating role of creativity and the effect of virtual reality on stress and cognitive demand during preservice teacher learning.
Comput. Educ. X Real., 2022

Real-time prediction of science student learning outcomes using machine learning classification of hemodynamics during virtual reality and online learning sessions.
Comput. Educ. Artif. Intell., 2022

2021
How STEM Game Design Participants Discuss Their Project Goals and Their Success Differently.
Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

2020
Cognitive Modeling of Learning Using Big Data From a Science-Based Game Development Environment.
Int. J. Game Based Learn., 2020

Familiarization tours for first-time users of highly automated cars: Comparing the effects of virtual environments with different levels of interaction fidelity.
CoRR, 2020

Using Augmented Holographic UIs to Communicate Automation Reliability in Partially Automated Driving.
Proceedings of the Workshop on Automation Experience across Domains, 2020

2018
A meta-analysis with examination of moderators of student cognition, affect, and learning outcomes while using serious educational games, serious games, and simulations.
Comput. Hum. Behav., 2018

Comparison of virtual reality and hands on activities in science education via functional near infrared spectroscopy.
Comput. Educ., 2018

Biometric Recognition Through Eye Movements Using a Recurrent Neural Network.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2016
A computational modeling of rapid attitude formation during surveys about immigrants and immigration.
Comput. Hum. Behav., 2016

2015
Computational Modeling of Teaching and Learning through Application of Evolutionary Algorithms.
Comput., 2015

2014
Safe science classrooms: Teacher training through serious educational games.
Inf. Sci., 2014

Examination of allostasis and online laboratory simulations in a middle school science classroom.
Comput. Hum. Behav., 2014

A computational modeling of student cognitive processes in science education.
Comput. Educ., 2014

Cognitive diagnostic like approaches using neural-network analysis of serious educational videogames.
Comput. Educ., 2014

2013
The gorilla in the room: The impacts of video-game play on visual attention.
Comput. Hum. Behav., 2013


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