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Direct linkChun-Hsiung Tseng; Hao-Chiang Koong Lin; Andrew Chih-Wei Huang; Jia-Rou Lin – Cogent Education, 2023
This study explores the use of machine learning and physiological signals to enhance learning performance based on students' personality traits. Traditional personality assessment methods often yield unreliable responses, prompting the need for a novel approach utilizing objective data collection through physiological signals. Participants from a…
Descriptors: Artificial Intelligence, Personality Traits, Foreign Countries, Engineering Education
Scott, Joseph I.; Beuk, Frederik – Journal of Marketing Education, 2020
Universities increasingly make their sales curriculum available for groups other than dedicated sales students. This study investigates engineering students' drivers that predict interest in sales certification, as well as drivers that predict actual choice for a sales curriculum. We focus on engineering students (n = 204) and contrast our…
Descriptors: Student Interests, Engineering Education, Salesmanship, Teaching Methods
