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Michelle L. Ackerman; Bettina Shapira; Joel B. Goodin; Sunilda A. Andriotis – Online Learning, 2025
Research suggests that supportive programmatic structure can assist online doctoral student success, including time to complete the dissertation. However, completely online doctoral students have unique characteristics and needs and are underrepresented in the research literature; therefore, research exploring programmatic factors as related to…
Descriptors: Doctoral Dissertations, Doctoral Students, Distance Education, Psychology
Nieuwoudt, Johanna – Student Success, 2023
University students are often depicted as carefree young adults; however, many students struggle to manage the "normal" stresses of university life and may experience high rates of psychological distress. This study compared a traditional delivery model to a shorter delivery model (i.e., the Southern Cross Model) in terms of students'…
Descriptors: College Students, Nontraditional Students, Academic Achievement, Mental Health
Doyer, Ilse; Bean, Wilna L.; du Plessis, André – Bulgarian Comparative Education Society, 2023
This paper presents the use of the time-on-task analysis (TOTA) diagnostic model as an instrument to improve the efficient management of allocated academic time in schools and focuses on the descriptive analytics produced by the TOTA model. The model aims to analyse how time is spent during the school day to enable school leaders, managers, and…
Descriptors: Time on Task, Teaching Methods, Learning Processes, Time Management
Engin Kutluay; Feride Karaca – Education and Information Technologies, 2025
An exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students' academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and…
Descriptors: Models, Handheld Devices, Telecommunications, Addictive Behavior
Linda F. Nathan; Lydia Cochrane; Ayesha Hoda – Phi Delta Kappan, 2024
School leaders Lydia Cochrane and Ayesha Hoda have struggled to meet the increasingly complex needs of the students in their schools. As students' needs increase, schools are asked to do more and more, while continuing to have strong academic results. Cochrane and Hoda believe the current system is untenable and needs to change. With Linda Nathan,…
Descriptors: Student Needs, Academic Achievement, Educational Change, Models
D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
Jing Lu; Chun Wang; Ningzhong Shi – Grantee Submission, 2023
In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…
Descriptors: High Stakes Tests, Standardized Tests, Guessing (Tests), Cheating
Kljajic, Kristina; Gaudreau, Patrick – European Journal of Psychology of Education, 2023
The grades of students have been shown to severely decrease during the transition from high school to university. Although past findings have shown that procrastination negatively relates to academic achievement, no study has examined the influence of procrastination on the grade trajectory of students during this critical academic transition.…
Descriptors: High School Graduates, College Freshmen, Grades (Scholastic), Academic Achievement
Alexandron, Giora; Wiltrout, Mary Ellen; Berg, Aviram; Gershon, Sa'ar Karp; Ruipérez-Valiente, José A. – Journal of Computer Assisted Learning, 2023
Background: Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful. And…
Descriptors: MOOCs, Evaluation, Models, Learner Engagement
Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
Yao, Mengfan; Sahebi, Shaghayegh; Behnagh, Reza Feyzi – International Educational Data Mining Society, 2020
Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Study Habits
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Kimble Teresa Parkman-Colbert – ProQuest LLC, 2023
Microlearning is a relatively new educational technology that allows students to learn through short, direct segments using various modalities. The nursing profession has used microlearning to provide continuing medical education (CME). The problem addressed through this study was that instructional designers who create microlearning for medical…
Descriptors: Instructional Design, Nursing Education, Cognitive Style, Professional Continuing Education
Bastoni, Amanda; Pickering, Brian; Bisson, Nathan – Rowman & Littlefield Publishers, 2021
"Making Room for Change" is an educational book that will be valuable to anyone involved in secondary education. The book will provide clear examples, research, and personal reflections of how building in flexible time can be different from the historic middle and high school scheduling models. Educators of all ages and levels of…
Descriptors: Secondary Education, Educational Change, Flexible Scheduling, Time Management
Liu, Kai; Tatinati, Sivanagaraja; Khong, Andy W. H. – IEEE Transactions on Learning Technologies, 2020
Activity-centric data gather feedback on students' learning to enhance learning effectiveness. The heterogeneity and multigranularity of such data require existing data models to perform complex on-the-fly computation when responding to queries of specific granularity. This, in turn, results in latency. In addition, existing data models are…
Descriptors: Context Effect, Models, Learning Analytics, Data Use