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Anwesa Das; Vinay Kumar; Aditya Narayan Hati; Sharda Bharti – IEEE Transactions on Education, 2024
Machine learning (ML) is increasingly utilized in the development and assurance of safety-critical systems (SCSs) nowadays, much like other complex problems. Safety is the topmost priority in SCS, hence, developers who are working in this area must possess extensive knowledge of both ML and SCS. This article presents a methodical investigation…
Descriptors: Artificial Intelligence, Computer Security, Engineering Education, Engineering
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Balakrishna, Sundar – Industry and Higher Education, 2021
Industry reports show that fresh engineering and non-engineering graduates from Indian universities are not readily employable. The Government-owned Andhra Pradesh Information Technology Academy (APITA) seeks to equip graduates from the state's degree and engineering colleges with industry-relevant skill sets for gainful employment. This study…
Descriptors: Industry, School Business Relationship, Engineering Education, College Graduates
Carter, Miriam J. – ProQuest LLC, 2019
The purpose of this quantitative study was to use the theory of transformational leadership as measured by the Multifactor Leadership Questionnaire (MLQ) to investigate the differences in the leadership behaviors of Indian Center for Research and Development of Community Education (ICRDCE) affiliated community college CEOs based on their gender…
Descriptors: Foreign Countries, Leadership, Administrator Behavior, Community Colleges
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Dhingra, Meenakshi; Kundu, Subhash C. – Industry and Higher Education, 2021
This paper assesses students' perceptions concerning the level of campus placement activities of their higher education institution (HEI) and determines the order of importance of various factors, as perceived by students, relating to employers' selection criteria. Primary data based on the responses of 621 students in 29 HEIs operating in the…
Descriptors: Job Placement, Personnel Selection, Selection Criteria, Employment Interviews