V Akila, J Anita Christaline, A Shirly Edward
Novel Feature Generation for Classification of Motor Activity from Functional Near-Infrared Spectroscopy Signals Using Machine Learning
Diagnostics (Basel, Switzerland)
dataset presents data collected assess teaching learning quantum physics university rwanda college education urce rwanda data collected august november 2019 baseline january april 2022 quasiexperimental design three sets data collected first set students performance conceptual understanding collected teaching intervention lecture method multimediaaided approach using mainly quantum physics conceptual survey qpcs second set documented classroom practices teaching learning using classroom observation protocol undergraduate stem copus last set comprised data related lecturers students perceptions teaching learning quantum physics students attitudes learning quantum physics quantum physics attitude test qpat mainly used collect data dataset important education stakeholders university managers visualize status teaching learning outcomes lecturers reflect study researchers use data analyze various independent variables