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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
Peter E. Doolittle; Krista P. Wojdak; C. Edward Watson; Dawn N. Adams; Gina Mariano – Journal of the Scholarship of Teaching and Learning, 2024
Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask. This study examined the relationship between college students' perceptions and performance of technology-based multitasking. Technology-based multitasking and self-efficacy data were…
Descriptors: Undergraduate Students, Task Analysis, Critical Incidents Method, Self Efficacy
Parpala, Anna; Mattsson, Markus; Herrmann, Kim Jesper; Bager-Elsborg, Anna; Hailikari, Telle – Scandinavian Journal of Educational Research, 2022
This paper examines disciplinary differences in the combinations of approaches to learning (i.e., learning profiles) among students, and how those combinations are related to academic achievement. In addition, the study focuses on how different learning profiles are related to students' self-efficacy beliefs in different disciplines. Data consist…
Descriptors: Cognitive Style, Self Efficacy, Academic Achievement, Profiles
Alexandra Green – ProQuest LLC, 2024
This research delves into the attitudes, perceptions, and motivations of student-athletes enrolled in Intermediate Algebra courses. It focuses on the distinct challenges they encounter in juggling academic and athletic responsibilities at a southeastern university in the United States. Employing a mixed-methods approach, the study gathered…
Descriptors: Algebra, Mathematics Instruction, Mathematics Curriculum, Student Attitudes
Nalbone, David P.; Ashoori, Minoo; Fasanya, Bankole K.; Pelter, Michael W.; Rengstorf, Adam – International Journal for the Scholarship of Teaching and Learning, 2023
Much discussion in higher education has focused upon predicting student learning, and how to identify students who may be at particular risk of failure. Little research has actually tackled that challenge, and research on the scholarship of teaching and learning (SoTL) in this areas is scarce; this study does so by measuring students across three…
Descriptors: College Students, Predictor Variables, Academic Achievement, Identification
Li, Shuang; Du, Junlei; Sun, Jingqi – International Journal of Educational Technology in Higher Education, 2022
In an open and flexible context of Massive Open Online Courses (MOOCs), learners who take final assessments exhibit the motivation for performance goals. The learning trajectories of this group usually provide more clues for course design and teaching improvement in that this group tend to interact more fully with course learning activities and…
Descriptors: Electronic Learning, Online Courses, Learner Engagement, Time Management
Yuen Fook, Chan; Narasuman, Suthagar; Aziz, Norazah Abdul; Mustafa, Sharifah Muzlia Syed; Han, Cheong Tau – Asian Journal of University Education, 2021
Smartphone users have increased to over two and a half billion people and it is predicted to rise to five billion by the year of 2020. Prolonged smartphone usage indicates obsession with the virtual world. As smartphone users include students from secondary school to tertiary levels, their constant engagement with mobile phones raises questions of…
Descriptors: College Students, Telecommunications, Handheld Devices, Foreign Countries
Supakesorn, Bongkotkorn; Asawaniwed, Pongthorn; Polyiem, Titiworada – Journal of Educational Issues, 2022
The COVID-19 pandemic causing severe and lethal health issues by means of contact or airborne transmission has significantly altered our normal way of life. Having regular face-to-face contact poses a great risk even with precautionary measures taken resulting in a drastic change in the realm of learning and teaching from onsite to online.…
Descriptors: Foreign Countries, Student Teachers, Electronic Learning, Learning Processes
Boothe, Casey M. – ProQuest LLC, 2023
When transitioning to higher education, students need to develop the skills to become self-regulated learners capable of setting their own learning goals and planning and monitoring their learning. Self-regulated learning and academic performance have been shown to positively correlate with effective time management and study skills. There are…
Descriptors: Study Habits, Learning Strategies, Metacognition, Learning Processes
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
Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
Yilmazsoy, Burak; Kahraman, Mehmet; Köse, Utku – Journal of Educational Technology and Online Learning, 2020
The aim of this study is to examine negative effects of using WhatsApp social network application in educational processes and to create a conceptual framework in this manner. In order to examine the literature related to the research topic, sources in different databases were evaluated and research works after especially 2010 have been considered…
Descriptors: Computer Software, Social Media, Educational Benefits, Teaching Methods
Shabnam Ara S. J.; Tanuja R. – Journal of Education and e-Learning Research, 2024
Understanding the factors that influence students' results in hybrid learning environments is becoming increasingly important in today's educational environment. The goal of this research is to examine factors that influence students' academic performance as well as their level of participation in blended learning environments. A comprehensive…
Descriptors: Academic Achievement, Blended Learning, Learning Analytics, Technology Education
Navarro-Martinez, Oscar; Peña-Acuña, Beatriz – Journal of New Approaches in Educational Research, 2022
In the last two decades, the great technological advances sweeping society have made inroads into the educational sphere. The use of information and communication technology and social networks has opened up new possibilities for student learning, which require appropriate treatment by family and teachers. This quantitative study takes a new…
Descriptors: Information Technology, Social Networks, Correlation, Academic Achievement
Colthorpe, Kay; Sharifirad, Tania; Ainscough, Louise; Anderson, Stephen; Zimbardi, Kirsten – Assessment & Evaluation in Higher Education, 2018
To succeed at post-secondary education, it is essential that students develop an understanding of their own knowledge and learning processes. This metacognition of learning, or "meta-learning," helps students to become more effective learners, as they become more aware of their self-regulatory processes and recognise the effectiveness of…
Descriptors: Prompting, Undergraduate Students, Metacognition, Foreign Countries
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