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Direct linkRachel F. McCullough – ProQuest LLC, 2022
This study aimed to explore supervisee and supervisor experiences of relational depth (RD) within the supervisory relationship and its association with supervisee level of counselor self-efficacy (CSE). Participants in the study were master's level counseling students and their doctoral supervisors in a practicum course. A total of 52 supervisees…
Descriptors: Supervision, Prediction, Self Efficacy, Supervisor Supervisee Relationship
Peer reviewedThaslim Begum Aiyoob; Ai Noi Lee; Youyan Nie – Asia-Pacific Education Researcher, 2025
Guided by the Self-Determination Theory, this study examines the mediating role of teachers' basic psychological needs satisfaction in the relationships between teachers' perceived supervisor learning support and teachers' use of technology and job satisfaction. 180 teachers in Singapore participated in the study by completing a questionnaire.…
Descriptors: Job Satisfaction, Psychological Needs, Technology Uses in Education, Professional Autonomy
Kristen N. Sweeney – ProQuest LLC, 2024
This quantitative study utilized a causal-comparative design to explore if there was a predictive relationship between school counselors' supervision satisfaction and program implementation. The sample (N=77) included school counselors from the United States who are licensed/certified, currently employed full-time in a public-school setting, have…
Descriptors: School Counseling, Program Implementation, Prediction, School Counselors
Lamar, Alicia Ines – ProQuest LLC, 2023
Counselor educators and supervisors carry out the responsibility of ensuring that counselors in training are competent and fit for practice. Burnout can occur when stressors in the workplace are not addressed. Engagement in the role of gatekeeper and perceptions of support can be factors that impact burnout in counselor educators. The exploration…
Descriptors: Counselor Training, Counselor Educators, Teacher Burnout, College Faculty
Ean Teng Khor; Dave Darshan – International Journal of Information and Learning Technology, 2024
Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Download full textRoux, Lisa; Dagorret, Pantxika; Etcheverry, Patrick; Nodenot, Thierry; Marquesuzaa, Christophe; Lopisteguy, Philippe – International Association for Development of the Information Society, 2021
Distance computer-assisted learning is increasingly common, owing largely to the expansion and development of e-technology. Nevertheless, the available tools of the learning platforms have demonstrated their limits during the pandemic context, since many students, who were used to "face-to-face" education, got discouraged and dropped out…
Descriptors: Distance Education, Computer Software, Teacher Student Relationship, Supervision
