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Fred C. McMahan

Title: Assistant Professor

Department: Learning Technologies

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of North Texas, 2016
    Major: Computer Science and Engineering
    Specialization: Gamer Experience
    Dissertation: Real Time Assessment of a Video Game Player’s State of Mind Using Off-the-Shelf Electroencephalography
  • MS, University of North Texas, 2013
    Major: Computer Science
  • BS, University of North Texas, 2007
    Major: Computer Science

Current Scheduled Teaching

LTEC 6950.452Doctoral DissertationFall 2024
LTEC 4900.001Special ProblemsFall 2024
LTEC 3260.420Web AuthoringFall 2024 Syllabus
LTEC 5420.420Web AuthoringFall 2024
LTEC 3530.020Data CommunicationsSummer 10W 2024 Syllabus SPOT
LTEC 6950.746Doctoral DissertationSummer 10W 2024
LTEC 5400.020Learning Technologies TelecommunicationsSummer 10W 2024 SPOT
LTEC 3260.020Web AuthoringSummer 10W 2024 Syllabus SPOT
LTEC 5420.020Web AuthoringSummer 10W 2024 SPOT

Previous Scheduled Teaching

LTEC 3530.020Data CommunicationsSummer 10W 2024 Syllabus SPOT
LTEC 6950.746Doctoral DissertationSummer 10W 2024
LTEC 5400.020Learning Technologies TelecommunicationsSummer 10W 2024 SPOT
LTEC 3260.020Web AuthoringSummer 10W 2024 Syllabus SPOT
LTEC 5420.020Web AuthoringSummer 10W 2024 SPOT
LTEC 3530.020Data CommunicationsSpring 2024
LTEC 6950.749Doctoral DissertationSpring 2024
LTEC 4900.001Special ProblemsSpring 2024
LTEC 3260.020Web AuthoringSpring 2024
LTEC 5420.020Web AuthoringSpring 2024
LTEC 6950.759Doctoral DissertationFall 8W2 2023
LTEC 5300.002Learning and CognitionFall 8W1 2023 SPOT
LTEC 5300.003Learning and CognitionFall 8W1 2023 SPOT
LTEC 4900.002Special ProblemsFall 2023
LTEC 3530.020Data CommunicationsSummer 10W 2023 Syllabus SPOT
LTEC 5400.020Learning Technologies TelecommunicationsSummer 10W 2023 SPOT
LTEC 3260.020Web AuthoringSummer 10W 2023 Syllabus SPOT
LTEC 5420.020Web AuthoringSummer 10W 2023 SPOT
LTEC 3530.020Data CommunicationsSpring 2023 Syllabus SPOT
LTEC 3530.021Data CommunicationsSpring 2023 Syllabus SPOT
LTEC 3100.020New Horizons for Learning Technologies in STEMSpring 2023 Syllabus SPOT
LTEC 3530.020Data CommunicationsFall 2022 Syllabus SPOT
LTEC 5400.020Learning Technologies TelecommunicationsFall 2022 SPOT
LTEC 4900.001Special ProblemsFall 2022
LTEC 3260.020Web AuthoringFall 2022 Syllabus SPOT
LTEC 5420.020Web AuthoringFall 2022 SPOT
LTEC 3530.020Data CommunicationsSummer 10W 2022 Syllabus SPOT
LTEC 5400.020Learning Technologies TelecommunicationsSummer 10W 2022 SPOT
LTEC 3530.020Data CommunicationsSpring 2022 Syllabus SPOT
LTEC 3530.021Data CommunicationsSpring 2022 Syllabus SPOT
LTEC 4900.001Special ProblemsSpring 2022
LTEC 3260.020Web AuthoringSpring 2022 Syllabus SPOT
LTEC 5420.020Web AuthoringSpring 2022 SPOT
LTEC 3530.020Data CommunicationsFall 2021 Syllabus SPOT
LTEC 3260.020Web AuthoringFall 2021 Syllabus SPOT
LTEC 5420.020Web AuthoringFall 2021 SPOT
LTEC 5420.026Web AuthoringFall 2021 SPOT
LTEC 5510.020Technology Based Learning EnvironmentsSummer 10W 2021 SPOT
LTEC 3260.020Web AuthoringSummer 10W 2021 Syllabus SPOT
LTEC 5420.020Web AuthoringSummer 10W 2021 SPOT
LTEC 5420.026Web AuthoringSummer 10W 2021 SPOT
LTEC 3530.020Data CommunicationsSpring 2021 Syllabus SPOT
LTEC 3530.021Data CommunicationsSpring 2021 Syllabus SPOT
LTEC 3260.020Web AuthoringSpring 2021 Syllabus SPOT
LTEC 5420.020Web AuthoringSpring 2021 SPOT
LTEC 3530.020Data CommunicationsFall 2020 Syllabus SPOT
LTEC 3530.021Data CommunicationsFall 2020 Syllabus SPOT
LTEC 3530.020Data CommunicationsSummer 10W 2020 Syllabus SPOT
LTEC 3260.020Web AuthoringSummer 10W 2020 Syllabus SPOT
LTEC 5420.020Web AuthoringSummer 10W 2020 SPOT
LTEC 5420.026Web AuthoringSummer 10W 2020 SPOT
LTEC 5420.080Web AuthoringSummer 10W 2020 SPOT
LTEC 5420.086Web AuthoringSummer 10W 2020 SPOT
LTEC 5421.020Advanced Web and Media DevelopmentSpring 2020
LTEC 3530.020Data CommunicationsSpring 2020 Syllabus
LTEC 3530.021Data CommunicationsSpring 2020 Syllabus

Published Intellectual Contributions

    Book Chapter

  • Parsons, T., Duffield, T., McMahan, T., Diaz-Orueta, U. (2019). Virtual School Environments for Neuropsychological Assessment and Training.
  • Parsons, T., McMahan, T., Melugin, P., Barnett, M. (2017). Virtual Environment Grocery Store. The Role of Technology in Clinical Neuropsychology.
  • Conference Proceeding

  • McMahan, T., Duff, T., Parsons, T. (2021). Virtual Environment Grocery Store (VEGS) for assessing memory in persons with epilepsy: A Comparative Study on the Predictive Ability of the Support Vector Machine, K-Nearest Neighbours, and Naïve Bayes.
  • McMahan, T., Parberry, I., Parsons, T. (2015). Evaluating Electroencephalography Engagement Indices during Video Game Play.
  • McMahan, T., Parberry, I., Parsons, T. (2015). Evaluating Player Task Engagement and Arousal using Electroencephalography.
  • Journal Article

  • McMahan, T.C., Gan, D., Manya, T., Emmanuel, R., Tian, C., Xiao, D., Parsons, T.D., Kelly, K.S. Building an Adaptive Virtual Environment Grocery Store using off-the-shelf EEG.
  • McMahan, T.C., Li, J., Chang, D., Kelly, K.S. Understanding Inclusion, Exclusion, and Ostracism in the Cyberball Paradigm Using EEG.
  • McMahan, T.C., Parsons, T.D., Barnett, M. Using the Virtual Environment Grocery Store to Predict Dementia and Alzheimer’s..
  • Parsons, T.D., Asbee, J., McMahan, T.C. (2024). Feasibility study to identify machine learning predictors for a Virtual Environment Grocery Store.. Virtual Reality.
  • McMahan, T.C., Parsons, T.D. (2023). Active and Passive Machine Learning Predictors to Build Adaptive Virtual Environments.
  • Asbee, J., Kelly, K.S., McMahan, T.C., Parsons, T.D. (2023). Machine learning classification analysis for an adaptive virtual reality Stroop task. Virtual Reality.
  • Parsons, T.D., Kenny, P., McMahan, T.C., Wilkerson, A., Pruiksma, K., Taylor, D. (2023). Virtual Standardized Patients for Cognitive Behavioral Therapy Training: Description of Platform Architecture. Annual Review of CyberTherapy and Telemedicine.
  • Okada, N., McNeely-White, K., Cleary, A., Carlaw, B., Parsons, T.D., McMahan, T.C., Neisser, J., Pedersen, N. (2023). A Virtual Reality Paradigm with Dynamic Scene Stimuli for use in Memory Research. Behavior Research Methods.
  • Parsons, T., McMahan, T.C., Song, D., Newbutt, N., Johnson, M., Kaplan-Rakowski, R. Extended reality-based assistive technology interventions with children: Opportunities and recommendations.
  • Drain, D., Parsons, T.D., McMahan, T.C., Cleary, A., Okada, N., Pedersen, N., Adams, K., Neisser, J. (2022). Disruptive Technology Presents: Reimagining Memory Assessment Through Theory, Virtual Reality, and Other Novel Technologies (eg Eye Tracking, SEEG). 36 (4)
  • Asbee, J., McMahan, T.C., Kelly, K.S., Parsons, T.D. (2022). Factor Analysis of the Virtual Reality Stroop Task. Journal of Clinical and Experimental Neuropsychology.
  • Parsons, T., McMahan, T., Parberry, I. (2022). Neurogaming-based Classification of Player Experience Using Consumer-Grade Electroencephalography.. IEEE Transactions on Affective Computing.
  • Cleary, A., Neisser, J., McMahan, T., Parsons, Alwaki, A., Okada, N., Vosoughi, A., Khedler, A., Drane, D., Pederson, N. (2021). Subjective Distinguishability of Seizure and Non-seizure Déjà Vu: A Case Report, Brief Literature Review, and Research Prospects. https://authors.elsevier.com/sd/article/S152550502100634X
  • McMahan, T., Duffield, T., Parsons, T. (2021). Feasibility Study to Identify Machine Learning Predictors for a Virtual School Environment: Virtual Reality Stroop Task.
  • McMahan, T., Parsons, T. (2020). Adaptive Virtual Environments using Machine Learning and Artificial Intelligence.. Annual Review of CyberTherapy and Telemedicine.
  • Parsons, T., McMahan, T., Barnett, M. (2020). Assessment of cognitive and functional performance using a Virtual Environment Grocery Store with environmental distractors.. Annual Review of CyberTherapy and Telemedicine.
  • Parsons, McMahan, T., Kane, R. (2018). Practice Parameters Facilitating Adoption of Advanced Technologies for Enhancing Neuropsychological Assessment Paradigms. The Clinical Neuropsychologist.
  • Parsons, T., McMahan, T. (2017). An Initial Validation of the Virtual Environment Grocery Store. Journal of Neuroscience Methods.
  • , T., Schermerhorn, P., McMahan, T., Asbee, J., Russo, N. (2017). An initial validation of virtual human administered neuropsychological assessments.
  • Venturini, E., Riva, P., Serpetti, F., Romero Lauro, L., Pallavicini, F., Mantovani, F., Cloutier, R., McMahan, T., Stonecipher, K., Parsons, T.D. (2016). A comparison of 3D versus 2D virtual environments on the feelings of social exclusion, inclusion and over-inclusion.
  • Parsons, T., Barnett, M., McMahan, T. (2016). Impact of Distractors on Executive Control in Older Adults: Construct-Driven and Function-Led Approaches to Neuropsychological Assessment.
  • McMahan, T., Parberry, I., Parsons, T. (2015). Modality Specific Assessment of Video Game Player's Experience Using the Emotiv.

Contracts, Grants and Sponsored Research

    Grant - Research

  • McMahan, T.C. (Co-Principal), Parsons, T.D. (Principal), "Virtual Insomnia Patients (VIPs) to Accelerate Dissemination of Precision Diagnosis and Treatment of Insomnia.," sponsored by Department of Defense, Federal, $5186876 Funded. (2023).
  • McMahan, T.C., "Adaptive Virtual Environments using Off-the-Shelf Electroencephalography," sponsored by University of North Texas, University of North Texas, $4000 Funded. (2023 - 2023).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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