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Maini, Rashmi; Sachdeva, Sanandi; Mann, Guneet Kaur – Higher Education, Skills and Work-based Learning, 2022
Purpose: The objective of this research is to explore factors that influence interns' satisfaction (is) toward the e-internship program, an alternate adopted by management institutes in lieu of the regular summer internship amidst the global pandemic, coronavirus disease 2019 (COVID-19). Design/methodology/approach: A cross-sectional research…
Descriptors: Business Schools, Internship Programs, Case Studies, Student Attitudes
Gautam, Dipesh; Maharjan, Nabin; Graesser, Arthur C.; Rus, Vasile – International Educational Data Mining Society, 2018
This work is a step towards full automation of auto-mentoring processes in multi-player online environments such as virtual internships. We focus on automatically identifying speaker's intentions, i.e. the speech acts of chat utterances, in such virtual internships. Particularly, we explore several machine learning methods to categorize speech…
Descriptors: Speech Acts, Classification, Automation, Synchronous Communication
Nye, Benjamin D.; Davis, Dan M.; Rizvi, Sanad Z.; Carr, Kayla; Swartout, William; Thacker, Raj; Shaw, Kenneth – Journal of Research on Technology in Education, 2021
One-on-one mentoring is effective for helping novices with career development. However, traditional mentoring scales poorly. To address this problem, MentorPal emulates conversations with a panel of virtual mentors based on recordings of real STEM professionals. Students freely ask questions as they might in a career fair, while machine learning…
Descriptors: Mentors, Career Exploration, Science Careers, Computer Simulation
Chesler, Naomi C.; Arastoopour, Golnaz; D'Angelo, Cynthia M.; Bagley, Elizabeth A.; Shaffer, David Williamson – Advances in Engineering Education, 2013
Increasingly, first-year engineering curricula incorporate design projects. However, the faculty and staff effort and physical resources required for the number of students enrolled can be daunting and affect the quality of instruction. To reduce these costs, ensure a high quality educational experience, and reduce variability in student outcomes…
Descriptors: Engineering Education, Computer Simulation, Educational Quality, Educational Experience