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Wahyuddin; Maharida; Muhammad Awal Nur – Anatolian Journal of Education, 2025
This research analyzed the effect of learning management on learning activities both directly and through moderating learning readiness variables. This research was an ex-post facto type of quantitative research carried out at the Universitas Muhammadiyah Makassar. The research variables consist of exogenous variables, namely learning management,…
Descriptors: Learning Management Systems, Learning Activities, Learning Readiness, College Students
Cathy Weng; Mona Adria Wirda – Education and Information Technologies, 2025
This study explores the relationship between student readiness for online learning and its impacts on engagement, satisfaction, and academic achievement in Indonesian higher education. Using a mixed-methods design, the quantitative phase employed Structural Equation Modeling (SEM) to reveal that online learning readiness significantly affects…
Descriptors: Foreign Countries, Electronic Learning, Learning Readiness, Learner Engagement
Constance E. Wanstreet; Patrick A. Bennett; Yuerong Sweetland – Journal of Continuing Higher Education, 2025
This study was designed to explore perceptions of faculty and adult learner readiness to teach and learn in undergraduate gateway courses. Both faculty and adult students perceived that experience contributed to their readiness. However, they disagreed about the adequacy and quality of each other's experience. Faculty felt that their academic…
Descriptors: College Faculty, Teacher Attitudes, Adult Students, Student Attitudes
Irene Kahvazadeh; Edwin Jose; Alvis C. Fong; Ajay K. Gupta; Steve M. Carr; Shameek Bhattacharjee; Michael Harnar – Education and Information Technologies, 2024
Information systems are increasingly using artificial intelligence (AI). However, AI can be tricked into misbehaving, showing bias, or committing abuse. The root causes of these errors and uncertainties can be hidden away while parallelizing AI algorithms on high-performance computing (HPC) infrastructure. The project outlined in this paper aims…
Descriptors: Curriculum Development, Experiential Learning, Learning Readiness, Artificial Intelligence
Jason Power; Paul Conway; Ciarán Ó. Gallchóir; Ann-Marie Young; Michaela Hayes – Irish Educational Studies, 2024
Framed from a socio-cognitive perspective, and the contemporary increased salience of digital learning readiness and competence, the purpose of this study was two-fold: to validate Online Learner Readiness Scale in a new context and to explore potential variances in online readiness within a student-teacher population between less (pre-COVID) and…
Descriptors: Learning Readiness, Electronic Learning, Distance Education, COVID-19
Yalalem Assefa; Melaku Mengistu Gebremeskel; Shouket Ahmad Tilwani; Bekalu Tadesse Moges; Yibeltal Aemiro Azmera – Journal of Applied Research in Higher Education, 2024
Purpose: The main purpose of this study is aimed to estimate the mediating role of student engagement in the structural relationships between students' field of study choice, learning readiness and academic competence of undergraduate students in higher education. Design/methodology/approach: In the study process, a correlational design was…
Descriptors: Learning Readiness, Academic Ability, Competence, Learner Engagement
Wondifraw Dejene; Dagmawit Tilahun – Discover Education, 2024
In the realm of higher education, e-learning has emerged as a game-changer, reshaping the way students engage with their studies. The purpose of this study was examining readiness of higher education students for e-learning. Accordingly, a quantitative research design was employed. The population of the study was higher education students admitted…
Descriptors: Learning Readiness, Electronic Learning, Foreign Countries, Graduate Students
Mustafa Polat – Education and Information Technologies, 2024
Contemporary educational research has increasingly highlighted the necessity and significance of online education and its effects on student engagement and academic success. However, it's noteworthy that there is still a gap in the growing literature regarding the student-related factors that influence individuals' engagement and achievement in…
Descriptors: Foreign Countries, Electronic Learning, Learner Engagement, Resilience (Psychology)
Tierney J. Beebe – ProQuest LLC, 2024
Healthcare teams are comprised of several individuals from various backgrounds who must respect each other and understand each other's roles and responsibilities while effectively communicating to work toward the shared goal of quality patient care. Interprofessional education (IPE) prepares health professions students for collaboration and…
Descriptors: Interprofessional Relationship, Learning Readiness, Nursing Students, Nursing Education
Elif Çimsir; Meral Çapar; Ruxandra Folostina; Claudia Iuliana Iacob; Wioletta Tuszynska-Bogucka; Lidia Mirowska; Aras Bozkurt – Discover Education, 2024
This study examined the factorial composition and cultural invariance of the online learning readiness self-check (OLRSC) survey across Turkish (N = 212), Romanian (N = 207), and Polish (N = 235) college students. The results of confirmatory factor analyses (CFA) in individual samples supported the six-dimensional structure of online learning…
Descriptors: Factor Analysis, Electronic Learning, Learning Readiness, Self Evaluation (Individuals)
Nur Kholifah; Muhammad Nurtanto; Farid Mutohhari; Urip Wahyuningsih; Sri Listiani – Journal of Pedagogical Research, 2024
The post-pandemic era of COVID-19 still leaves crucial problems for vocational education (VE). Practical learning readiness (PLR), which includes dimensions of readiness to support knowledge, and physical and psychological conditions of students, is a fundamental problem that must be resolved through systematic mapping. Therefore, this encourages…
Descriptors: COVID-19, Pandemics, Vocational Education, Learning Readiness
Harun Cigdem; Semiral Oncu – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…
Descriptors: Gamification, Flipped Classroom, Learner Engagement, Learning Readiness
Yasser Kareem Al-Rikabi; Gholam Ali Montazer – Education and Information Technologies, 2024
The assessment process of readiness for adoption an educational system considers the lifeblood of the e-learning system in a particular educational organization and the ability to assess the organization's readiness among the main factors which contributes to the success and progress. The readiness models are instruments that assist educational…
Descriptors: Electronic Learning, Learning Readiness, Evaluation, Higher Education
Maynard H. Schaus; Victor R. Townsend Jr.; Shane Boyd; Deirdre Gonsalves-Jackson; Eric E. Johnson; Soraya M. Bartol; Marielle Postava-Davignon – Journal of STEM Education: Innovations and Research, 2024
In 2017, the Department of Biology at Virginia Wesleyan University modified its two-course introductory sequence in response to high DFW rates (>50% scoring a D, F, or withdrawing) in the first semester. The revised curriculum created a new third course and moved content that many students struggled with from the first semester to the third…
Descriptors: Introductory Courses, Biology, Science Education, Success
Sultan Hammad Alshammari – International Journal of Education in Mathematics, Science and Technology, 2024
Technological advancements have led to the emergence of the Fourth Industrial Revolution (4IR). Students' readiness to use 4IR technologies is thus essential for the development of knowledgeable, competent, and skilled graduates. However, ensuring students' readiness to use 4IR technologies is quite challenging, leading to a need to understand the…
Descriptors: Technological Literacy, Learning Readiness, Skill Development, Knowledge Level