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Carly D. Robinson; Katharine Meyer; Chasity Bailey-Fakhoury; Amirpasha Zandieh; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2024
College students make job decisions without complete information. As a result, they may rely on misleading heuristics ("interesting jobs pay badly") and pursue options misaligned with their goals. We test whether highlighting job characteristics changes decision making. We find increasing the salience of a job's monetary benefits…
Descriptors: Undergraduate Students, Career Choice, Tutoring, Compensation (Remuneration)
Shunying Zhao; Wencheng Yi; Baojuan Ye; Yadi Zeng; Yifan Yang – Journal of Career Development, 2024
The current study examined the mediating role of perceived risk of COVID-19 and the moderating role of hope in the relationship between intolerance of uncertainty and job-seeking anxiety. 812 advanced undergraduate students participated in this investigation (M[subscript age] = 21.95, SD[subscript age] = 1.37; 69% female). Results indicated that…
Descriptors: Undergraduate Students, COVID-19, Pandemics, Job Search Methods
Boettcher, Michelle L. – Georgia Journal of College Student Affairs, 2021
As student affairs graduate students finish their academic work and begin their job searches, they must navigate a number of competing priorities including position, title, work responsibilities, functional area, salary, benefits and other aspects of the position. For some graduates, the most important consideration is geographical location --…
Descriptors: Student Personnel Services, Graduate Students, Job Applicants, Job Search Methods
Keshf, Zehra; Khanum, Saeeda – SAGE Open, 2021
Career guidance and counseling (CGC) is vital for smooth career development. Pakistan is a developing country having scarce CGC services; CGC is an emerging field in the country. CGC needs of undergraduates and the services available to them have not been explored extensively through research. This study explored it through 18 semi-structured…
Descriptors: Career Counseling, Career Development, Counseling Services, Undergraduate Students
Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis