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Megan Silvey – Perspectives: Policy and Practice in Higher Education, 2025
Who 'owns' student success at an institution of higher education? Which unit is responsible for student outcomes? The answer to those questions at most universities is complicated. The evidence-based programmes, processes and interventions institutions implement to bolster student success are rarely 'communications' initiatives, but they all…
Descriptors: Communication Strategies, College Students, Success, Models
Sebastian Harenberg; Lindsey Keenan; Yvette Ingram; Sayre Wilson; Justine Vosloo; Miranda Kaye – Journal of American College Health, 2025
Background/purpose: Depressive symptoms are prevalent in student-athletes. Evidence for the factorial validity of measures assessing depressive symptoms in student-athletes is presently absent from the literature. This study examined the best fitting factorial structure and invariance across sexes of the PHQ-9. Methods: Data were collected from…
Descriptors: Student Athletes, Depression (Psychology), Symptoms (Individual Disorders), Gender Differences
Scharff, Lauren F. V.; Samuels, Michelle A. Butler – Teaching & Learning Inquiry, 2023
Academic institutions are now expected to engage in developing and assessing learning outcomes; however, responsibility outcomes, such as respect for human dignity (RFHD), can be particularly challenging. As part of our Biopsychology course and Sensation and Perception course over the past decade, we applied the scientist-educator model of…
Descriptors: Human Dignity, College Students, Intervention, Models
Oliva, Jose M.; Blanco, Ángel – European Journal of Science and Mathematics Education, 2023
A questionnaire was recently developed for the use with the Spanish-speaking, and evidence have been provided about the construct internal validity by means of structural equation modelling. In this paper, two research questions were considered: (i) What new evidence does application of the Rasch model provide regarding the validity of this…
Descriptors: Spanish Speaking, High School Students, College Students, Item Response Theory
Manar Hazaimeh; Abdullah M. Al-Ansi – International Journal of Information and Learning Technology, 2024
Purpose: Artificial intelligence (AI) is constantly evolving and is poised to significantly transform the world, affecting nearly every sector and aspect of society. As AI continues to evolve, it is expected to create a more dynamic, efficient and personalized education system, supporting lifelong learning and adapting to the needs and pace of…
Descriptors: Artificial Intelligence, Adoption (Ideas), Teacher Attitudes, Student Attitudes
Emily G. Rossin – ProQuest LLC, 2021
The purpose of this study was to develop and test the psychometric properties of the "3 x 2 Achievement Goal Questionnaire for Music Performance" ("3 x 2 AGQ - MP") and to determine the extent to which the 3 x 2 achievement goal model fits to two contexts of university band performance. Results from a pilot study informed…
Descriptors: College Students, Musicians, Extracurricular Activities, Goal Orientation
Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
Giang, Trinh Thi Thu; Andre, John; Lan, Ho Hoang – SAGE Open, 2022
Student engagement, while widely recognized as both important to outcomes of higher education institutions and critical to student learning, is still missing a unifying model addressing students both inside and outside of the classroom. This mixed-methods paper will explore the existing models of student engagement and propose a model which better…
Descriptors: Learner Engagement, College Students, Models, Higher Education
Lupo, Toni; Buscarino, Ester – Education Sciences, 2021
Nowadays, in the higher education sector, the quality measurement process of education-related services is assuming a crucial role to support focused and targeted improvement activities deeply centered on students' needs/necessities. These are considered crucial factors for dealing with the current academic competitive context. Therefore, the…
Descriptors: Foreign Countries, Questionnaires, Student Satisfaction, College Students
Xu, Anxin; Chen, Guisong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The approach of information digitalization era has largely changed the teaching environment on campus. The application of information technology to education has become a concern in modern education.Traditional basic literacy of reading, writing, and algorithm could no longer cope with the demands in information societies that the information…
Descriptors: Foreign Countries, Questionnaires, Response Rates (Questionnaires), Information Literacy
Hamza, Lamia; Tlili, Guiassa Yamina – International Journal of Web-Based Learning and Teaching Technologies, 2018
This article addresses the learning style as a criterion for optimization of adaptive content in hypermedia applications. First, the authors present the different optimization approaches proposed in the area of adaptive hypermedia systems whose goal is to define the optimization problem in this type of system. Then, they present the architecture…
Descriptors: Cognitive Style, Hypermedia, Educational Technology, Computer Oriented Programs
Lake, Warren W.; Boyd, William E.; Boyd, Wendy – International Journal for the Scholarship of Teaching and Learning, 2017
When a researcher encounters the term "learning styles," its meaning, rather than being explicitly obvious, is dependent on the tradition and therefore the context from which the term has originated. For a new researcher, in particular, it can be a confusing and potentially time consuming process to correctly identify the differences in…
Descriptors: Cognitive Style, Researchers, College Students, Learning Strategies
Kalkbrenner, Michael T.; Carlisle, Kristy L. – Journal of College Student Psychotherapy, 2021
A growing body of literature has established outreach, education, and consultation with counseling referral agents as a key role of college counseling practitioners. The aims of the present study were to test the utility of The REDFLAGS Model, an acronym of warning signs for mental distress, as a tool for promoting faculty-to-student referrals to…
Descriptors: College Faculty, Referral, College Students, Counseling Services
Alkharusi, Hussain Ali; Al Sulaimani, Humaira; Neisler, Otherine – International Journal of Instruction, 2019
Critical thinking is necessary for academic success in higher education. Hence, universities seek various ways to integrate it in the programs to enhance the productivity of their graduates. This study presents the development of a predictive model for critical thinking ability using a combination of background, demographic, and psycho-educational…
Descriptors: Critical Thinking, Thinking Skills, College Students, Foreign Countries
Zhang, Shi-Jun; Yu, Gui-Hua – EURASIA Journal of Mathematics, Science & Technology Education, 2017
In the context of mobile Internet, college students' leisure time has fragmentation characteristics to improve the value of time, it is of great practical significance to make full use of fragmentation time to study effectively. This research focuses on mobile learning model and its effect, firstly, qualitative research is used to construct the…
Descriptors: Electronic Learning, Models, College Students, Qualitative Research