NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
The Moderating Role of Technology Proficiency and Academic Discipline in AI-Chatbot Adoption within Higher Education: Insights from a PLS-SEM Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
Using Mixed-Effects Structural Equation Models to Study Student Academic Development.
Peer reviewed Peer reviewed
Pike, Gary R. – Review of Higher Education, 1992
A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…
Descriptors: Academic Achievement, Achievement Gains, College Students, Higher Education
College Persistence: Structural Equations Modeling Test of an Integrated Model of Student Retention.
Peer reviewed Peer reviewed
Cabrera, Alberto F.; And Others – Journal of Higher Education, 1993
A study integrated the major propositions of 2 theories of college persistence (Tinto's and Bean's) and used the resulting framework to survey a population of 466 first-year college students at 1 university. Findings supported most of the hypothesized links between the models and revealed a complex role for environmental factors in retention.…
Descriptors: Academic Persistence, College Environment, College Freshmen, College Students
Longitudinal Relations among Intellectual Development and Identity during the First Two Years of College: A Structural Equation Modeling Analysis.
Peer reviewed Peer reviewed
Buczynski, Patricia L. – Research in Higher Education, 1991
A study (n=139 students) used hierarchical structural equation modeling to examine the relationship between intellectual development and identity from the beginning of the freshman year through the end of the sophomore year. Results suggest that the college freshman's sense of identity is important in later intellectual development. Intervention…
Descriptors: College Freshmen, College Sophomores, College Students, Higher Education
Structural Equation Modeling: An Innovation for Doctoral Social Work Curricula.
Peer reviewed Peer reviewed
Gillespie, David F.; And Others – Journal of Social Work Education, 1995
Guidelines for learning and teaching structural equation modeling (SEM) in doctoral-level social work educational programs are offered. Essential ingredients of an introductory course, successful and unsuccessful methods of instruction, practical course organization, and integration of the material into the doctoral curriculum are discussed.…
Descriptors: Classroom Techniques, Course Organization, Curriculum Design, Curriculum Development
Separating the Wheat from the Chaff: Finding the Unique Effect of Supplemental Course Instruction.
PDF on ERIC Download full text
Hawthorne, Jeralynne; Hawthorne, John W. – 1987
Supplemental Course Instruction (SCI) at Olivet Nazarene University is described as a program in which a high achieving student retakes a course successfully completed in order to model desired behaviors for other students. The SCI Leader demonstrates good study skills and organizes small group study sessions. This study examines the effectiveness…
Descriptors: College Programs, High Risk Students, Higher Education, Introductory Courses