Dr. Lamb earned his PhD in Science Education and Measurement from George Mason University in 2013.

Dr. Lamb’s research focuses on identifying cognitive markers of learning and enhancing information processing using novel technologies in educational settings. A key area of his work uses psychophysiological measurement tools and virtual reality environments to provide learning opportunities and to assess student cognitive, emotional, and behavioral states. Dr. Lamb has worked with students of all ages, from pre-K through postgraduate levels. Along with his faculty duties, Dr. Lamb will serve as Director of the Neurocognition Science Laboratory, an interdisciplinary collaborative at UGA.  

His research aims to translate basic neuroscience into educational practices that improve learning outcomes. 

Edited Books

Lamb, R., & Firestone, J. (2024). Neurocognitive Methods for the Learning Science: Bridging Educational Divides. New York, NY: Routledge. 2

Lamb, R. & McMahon, D.D. (2016). Educational and Learning Games: New Research. New York, NY: NOVA Publishing 1

Book Chapters

Lamb, R., (In Press). Serious Games. In Powers, M. (Ed.) Oxford Research Encyclopedia of Communication. New York, NY and Oxford, GB: Oxford University Press. 20

Kavner, A. & Lamb, R. (2024). Developing Neural Networks with Neurocognitive Measurements. In Neurocognition in Science Education. New York, NY: IGA. 19

Lamb R., Hand, B., Yoon, S., & Almusharraf, N. (2023). Writing in Science the Effect of XR Technology. In Fegely, A. & Cherner, T. (Eds.) Bridging the XR Technology -to Practice Gap. New York, NY: Elsevier. 18

Lamb, R. (2023). Virtual reality and science, technology, engineering, and mathematics education. In Liu, X & Wang, L. (Eds.) International Encyclopedia of Education 4th Edition. New York, NY: Elsevier. 17

Lee., J., Lamb, R., & Kim, S., (2021). Artificial intelligence and learning. In Anne Hynds (Ed.) Oxford Bibliographies in Education. New York, NY: Oxford University Press. 16

Lamb, R. (2021). Virtual reality as a tool for improvement of hands-on science learning. In L. Leite, E. Oldham, A. Sfonso, F. Viseu, L. Dourado, & H. Martinho (Eds.). Science and Mathematics Education for 21st Century Citizens: Challenges and Ways Forward. New York, NY: Nova Science Publishers. 15

Lamb R. (2021). Virtual reality simulations in science education: Learning science by writing. In G. Akcayir & C. Demmans-Epp (Eds.) Designing, Deploying, and Evaluating Virtual and Augmented Reality in Education. Hershey, PA: IGI Global. 14

Lamb, R. & Etopio, E. (2020). Virtual reality to train preservice teachers. In E. Bradley (Ed.). Games and Simulations in Teacher Education. Dordrecht, The Netherlands: Springer Nature. 13

Lamb, R., & Etopio, E. (2020). Therapeutic extended reality: The nuts and bolts. In H. Kaduson & C. Schaefer (Eds.). Play Therapy with Children Modalities for Change. Oxford, England: American Psychological Association International Association of Scientific, Technical, and Medical Publishers. 12

Lamb, R. Etopio, E., Firestone, J., & Zederii, J. (2020). Virtual reality simulation: effects on academic performance with the domain of writing. In T. Croce & J. Firestone (Eds.). Defining Scientific Literacy in the 21st Century. New York, NY: Springer. 11

Lamb, R. & Hand, B. (2020). An exploratory neuroimaging study of argumentative and summary writing using near infrared spectroscopy. In V. Prain & B. Hand (Eds.), Conceptualizing Complexities: Theorizing Futures for Science Education Research. New York, NY: Springer. 10

Lamb, R., & Etopio, E. (2019). VR has it: A framework for virtual reality integration into therapy. In J. Stone (Ed.), Integrating Technology into Modern Therapies: A Clinician’s Guide, New York, NY: Routledge. 9

Annetta, L., Lamb, R., Vallett, D., & Shapiro, Mi. (2018). Project based learning progressions: Identifying the nodes of learning in a project-based environment. In O. Adesope & A.G. Rudd (Eds.). Contemporary Technologies in Education. New York, NY: Springer. 8

Lamb, R., Cavagnetto, A., Adesope, O., Yin, L., French, B., & Taylor, M. (2016). Artificially intelligent systems in education a tool for the future. In R. Lamb & D.D. McMahon (Eds.), Educational and Learning Games: New Research. New York, NY: NOVA Publishing. 7

Lamb, R, (2016). Assessment of student learning using cognitive diagnostics and computation models of cognition. In R. Lamb & D.D. McMahon (Eds.), Educational and Learning Games: New Research. New York, NY: NOVA Publishing. 6

Wong, S.S., Firestone, J.B., Lamb, R., & Luft, J.A. (2015). First year secondary science teacher perceived support and retention in the classroom. In. J.A. Luft & S. Dubois (Eds.), Newly Hired Teachers of Science: A Better Beginning. New York, NY: Springer. 5

Lamb, R. (2015) Video games as assessment. In Encyclopedia of Educational Technology, Eds. Mike Spector, Thousand Oaks, CA, Sage Publications 4

Annetta, L., Holmes, S., Vallett, D., Fee, M. Cheng, R & Lamb, R. (2013). Cognitive aspects of creativity: Science learning through serious educational games. In M. Gregerson and J. Kaufman (Eds.), Teaching Creatively and Teaching Creativity. New York, NY: Springer. 3

Annetta, L., Lamb, R., Bowling B. & Chengi, R., (2011). Assessing engagement in serious educational games: The development of the student engaged learning in a technology rich interactive classroom (SELTIC). In P. Felicia (Ed). Handbook of Research on Improving and Motivation through Educational Games. Hershey, PA: IGI Global. 2

Annetta, L. Lamb, R. & Stoneii, M. (2010). Assessment serious educational games: The development of a scoring rubric, In L. Annetta and S. Bronack (Eds.). Serious Educational Game Assessment: Practical Methods and Models for Educational Games, Simulations and Virtual Worlds. Amsterdam, Netherlands: Sense Publishers.

Total: $5,744,005

Funded National or International: $4,846,226

Funded State and Local: $897,779