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Vedapradha R.; Hariharan R.; Sudha E.; Divyashree V. – International Journal of Information and Learning Technology, 2024
Purpose: The current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA). Design/methodology/approach: A systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of…
Descriptors: Artificial Intelligence, Higher Education, Administrators, Recruitment
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Kaur, Rajwinder; Shah, Reena – European Journal of Training and Development, 2022
Purpose: Drawing from the instrumental and symbolic framework for employer branding, this study aims to explore the perception of the current and potential employees for the Indian armed forces' employer brand. Design/methodology/approach: The study is conducted as a mixed-method approach in the form of qualitative and quantitative phases. In the…
Descriptors: Foreign Countries, Employers, Marketing, Consumer Economics
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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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Kulal, Abhinandan; Dinesh, Sahana; N., Abhishek; Ur Rahiman, Habeeb – Cogent Education, 2023
The demand for distance education has been increasing over the years, and this has gained momentum especially in the post-pandemic period. This development has caused a debate among the academicians as to whether distance education mode serves the real purpose of education as In-person learning does. Even though the method of schooling is not a…
Descriptors: Distance Education, In Person Learning, Foreign Countries, Comparative Analysis
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Subramanian, Nagamani; Suresh, M. – Learning Organization, 2022
Purpose: The goal of this research is to create a conceptual model that identifies the relationship between organizational learning and green human resource management practices and its contribution to the circular economy. The focus of this research is to identify the organizational learning and green human resource factors that lead to a more…
Descriptors: Models, Organizational Learning, Labor Force Development, Economic Factors
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Subramanian, Nagamani; Suresh, M. – Learning Organization, 2022
Purpose: Circular economy has emerged as one of the most important approaches to addressing environmental challenges. Organizations have begun to act on their abilities to enhance their sustainability management to enable a circular economy. The role of organizational learning and green human resource management in the transition to a more…
Descriptors: Models, Organizational Learning, Labor Force Development, Economic Factors
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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
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Shelley, Mack, Ed.; Akerson, Valarie, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
"Proceedings of International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES), which took place on October 13-16, 2022, in Austin, Texas. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and…
Descriptors: Mental Health, COVID-19, Pandemics, Nursing Students