Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Prediction | 4 |
Supervision | 4 |
College Faculty | 2 |
Counselor Training | 2 |
Learning Analytics | 2 |
Supervisor Supervisee… | 2 |
Teacher Attitudes | 2 |
Academic Achievement | 1 |
Algorithms | 1 |
Artificial Intelligence | 1 |
Blended Learning | 1 |
More ▼ |
Author
Dagorret, Pantxika | 1 |
Dave Darshan | 1 |
Ean Teng Khor | 1 |
Etcheverry, Patrick | 1 |
Lamar, Alicia Ines | 1 |
Lopisteguy, Philippe | 1 |
Marquesuzaa, Christophe | 1 |
Nodenot, Thierry | 1 |
Rachel F. McCullough | 1 |
Roux, Lisa | 1 |
Publication Type
Dissertations/Theses -… | 2 |
Journal Articles | 1 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Audience
Location
France | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rachel 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
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
Roux, 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