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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
Kuepper-Tetzel, Carolina E.; Gardner, Paul L. – Psychology Learning and Teaching, 2021
Although feedback engagement is important for learning, students often do not engage with provided feedback to inform future assignments. One factor for low feedback uptake is the easy access to grades. Thus, systematically delaying the grade release in favor of providing feedback first--"temporary mark withholding"--may increase…
Descriptors: Feedback (Response), Learning Processes, Grades (Scholastic), Educational Strategies
Snead, William R.; Joseph, Manjula; Capriotiti, Michael; Saminatahn, Swega; Parewa, Abhinav; Thao, Chinhuor; Belogortsev, Aleksandr – Online Submission, 2023
This research study sought to determine whether pre-reading assignments have an impact on a student's academic performance. Learning a new topic which oftentimes seems foreign is never easy. However, reading a short article or reviewing a slide-show presentation on the lecture topic before the lecture happens (otherwise known as a pre-reading…
Descriptors: Prereading Experience, Assignments, Comparative Analysis, Academic Achievement
Cenka, Baginda Anggun Nan; Santoso, Harry B.; Junus, Kasiyah – Knowledge Management & E-Learning, 2022
Online learning implementation has been growing year by year across countries, including Indonesia. Many higher education institutions use a Learning Management System (LMS) to facilitate online learning. Unfortunately, many issues arise during online learning implementation, such as a lack of student behaviour monitoring. This study adopts an…
Descriptors: Knowledge Management, Electronic Learning, Integrated Learning Systems, Student Behavior
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
Yeh, Robert; Zoeckler, Laurence – Marketing Education Review, 2022
Fast-growing and evolving online content has enabled responsive curriculum updates to support students' learning of how to apply concepts to understand and solve real world problems. Written case studies have long served this purpose in a wide variety of disciplines, and many educators have seen value in presenting cases through the use of online…
Descriptors: Comparative Analysis, Longitudinal Studies, Undergraduate Students, Marketing
Rawat, Bhupesh; Dwivedi, Sanjay K. – International Journal of Information and Communication Technology Education, 2019
With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…
Descriptors: Electronic Learning, Student Characteristics, Learning Processes, Management Systems
Doyle, Elaine; Buckley, Patrick – Interactive Learning Environments, 2022
While research and practice centred around students and academics working together to co-create in the higher level sector has increased, co-creation in assessment remains relatively rare in a higher education context. It is acknowledged in the literature that deeper comprehension of content can be realised when students author their own questions…
Descriptors: Multiple Choice Tests, Student Participation, Test Construction, Academic Achievement
Zhao, Lin; Ye, Chen – Decision Sciences Journal of Innovative Education, 2020
Educational psychologists have found that metacognitive calibration predicts learning outcomes in self-regulated learning. In this research the authors apply theories of metacognition from educational psychology and postulate that metacognitive calibration influences learning time and performance in online learning. Data gathered from 230 college…
Descriptors: Metacognition, Accuracy, Prediction, Educational Psychology
Gratchev, Ivan; Jeng, Dong-Sheng – European Journal of Engineering Education, 2018
This study seeks to explore whether a combination of traditional teaching methods with project-based learning (PBL) activities can improve the student learning experience in an engineering course of soil mechanics. As an alternative to the traditional type of assignment that consisted of several textbook problems, a project-based assignment was…
Descriptors: Student Projects, Engineering Education, Active Learning, Teaching Methods
Hernesniemi, Elina; Räty, Hannu; Kasanen, Kati; Cheng, Xuejiao; Hong, Jianzhong; Kuittinen, Matti – International Journal of Higher Education, 2017
Earlier research has shown that an excessive workload has a substantial negative effect on students' well being. The present study examines how Finnish and Chinese university students' perceptions of workload are related to their perceptions of the teaching and learning environments (TLE). This is done in order to determine whether the perceived…
Descriptors: Well Being, Foreign Countries, Student Attitudes, Cross Cultural Studies
Carter, Adam S.; Hundhausen, Christopher D.; Adesope, Olusola – ACM Transactions on Computing Education, 2017
Analyzing the process data of students as they complete programming assignments has the potential to provide computing educators with insights into both their students and the processes by which they learn to program. In prior research, we explored the relationship between (a) students' programming behaviors and course outcomes, and (b) students'…
Descriptors: Social Behavior, Academic Achievement, Programming, Computer Science Education
Vivian, Rebecca; Barnes, Alan; Geer, Ruth; Wood, Denise – Research in Learning Technology, 2014
This paper reports on an observation of 70 university students' use of their personal social network site (SNS), Facebook, over a 22-week university study period. The study sought to determine the extent that university students use their personal SNSs to support learning by exploring frequencies of academic-related content and topics being…
Descriptors: Social Networks, Computer Mediated Communication, College Students, Course Content
Rowden Quince, Bianca C. – ProQuest LLC, 2013
Student success in community-college online courses remains a topic of concern within higher-education research. Online courses offer flexibility and opportunities for students to learn anytime and anywhere. Students who are not prepared for the anytime-anywhere format struggle in online courses. As enrollment in online courses increases, the rate…
Descriptors: Metacognition, Learning Strategies, College Students, Online Courses
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
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