The candidates will also lead laboratory, classroom, and real-world research studies (e.g., medical simulation facilities) involving the collection of participants (e.g., adolescents, college students, STEM teachers, healthcare professionals) multimodal multichannel data (e.g., log files, eye-tracking, physiological sensors, facial expressions of emotions, screen recordings, etc.), using various technological platforms and equipment for research purposes (e.g., serious games, simulations, and immersive learning environments), analyses and interpretation of multimodal multichannel data (and other learning and performance data), and submission and dissemination of research findings for conferences and peer-reviewed publications. Specifically, knowledge and skills in using advanced statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures, and multimodal multichannel data (e.g., log files, eye tracking, physiological sensors, and audio and video streams.