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Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
Daniel F. O. Onah; Elaine L. L. Pang; Jane E. Sinclair – Journal of Computing in Higher Education, 2024
Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…
Descriptors: MOOCs, Self Management, Independent Study, Educational Technology
Zhu, Meina; Doo, Min Young – Journal of Computing in Higher Education, 2022
In massive open online learning courses (MOOCs) with a low instructor-student ratio, students are expected to have self-directed learning abilities. This study investigated the relationship among motivation, self-monitoring, self-management, and MOOC learners' use of learning strategies. An online survey was embedded at the end of three MOOCs with…
Descriptors: Student Motivation, Self Management, Online Courses, Learning Strategies
Margulieux, Lauren E.; Catrambone, Richard – Journal of Computing in Higher Education, 2021
Procedural problem solving is an important skill in most technical domains, like programming, but many students reach problem solving impasses and flounder. In most formal learning environments, instructors help students to overcome problem solving impasses by scaffolding initial problem solving. Relying on this type of personalized interaction,…
Descriptors: Scaffolding (Teaching Technique), Problem Solving, Learning Strategies, Programming
Ünal Çakiroglu; Mücahit Öztürk – Journal of Computing in Higher Education, 2024
The aim of this study is to examine the development of self-regulated learning (SRL) of university students in an EFL course via Flipped classroom through a novel measurement roadmap. Microanalytic techniques were used throughout the process rather than students' perceptions at a given moment. SRL skills scores are reported as well as sample…
Descriptors: Flipped Classroom, English (Second Language), Second Language Instruction, Self Management
Han, Feifei; Ellis, Robert A. – Journal of Computing in Higher Education, 2023
This study investigated the relations between students' self-reported perceptions of the blended learning environment, their observed online learning strategies, and their academic learning outcomes. The participants were 310 undergraduates enrolled in an introductory course on computer systems in an Australian metropolitan university. A…
Descriptors: Measurement Techniques, Student Attitudes, Educational Environment, Observation
List, Alexandra; Ballenger, Eric E. – Journal of Computing in Higher Education, 2019
Despite the prevalence of educational videos in today's schools and classrooms, limited work has examined the strategies students use when comprehending videos. The aim of this study is to compare pre-service teachers' strategy use when they are presented with information via text vis-à-vis via video. The study used a 2 × 2 experimental design…
Descriptors: Comprehension, Video Technology, Preservice Teachers, Educational Media
Chango, Wilson; Cerezo, Rebeca; Sanchez-Santillan, Miguel; Azevedo, Roger; Romero, Cristóbal – Journal of Computing in Higher Education, 2021
The aim of this study was to predict university students' learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions,…
Descriptors: Grade Prediction, Intelligent Tutoring Systems, College Students, Data Use
Costley, Jamie; Fanguy, Mik; Lange, Chris; Baldwin, Matthew – Journal of Computing in Higher Education, 2021
Ideally, instruction should be delivered in a way that reduces the processing of information that does not contribute to learning (extraneous load) and increases cognitive processing that contributes to learning (germane load). One way students might effectively manage extraneous load is through specific video lecture viewing strategies to control…
Descriptors: Video Technology, Lecture Method, Instructional Effectiveness, Learning Strategies
Yoon, Meehyun; Hill, Janette; Kim, Dongho – Journal of Computing in Higher Education, 2021
The flipped classroom model has gained prominence as advances in technology afford increasing opportunities for ubiquitous access to a variety of online resources. Despite the benefit of the flipped classroom model, flipped classrooms are not equally advantageous to all students due to its self-regulated nature. To address the issues in flipped…
Descriptors: Metacognition, Teaching Methods, Flipped Classroom, Learning Strategies
Yuruk, Suleyman Eren; Yilmaz, Rabia M.; Bilici, Sinan – Journal of Computing in Higher Education, 2019
This study aims to investigate postgraduate students' academic achievement, the metacognitive strategies they use and their infographic design scores while studying with infographics. The relationships between these variables and students' views about this process are also examined. A total of 15 postgraduate students were studied from the…
Descriptors: Graduate Students, Metacognition, Academic Achievement, Visual Aids
Anne Fensie; Teri St. Pierre; Jennifer Jain; Asli Sezen-Barrie – Journal of Computing in Higher Education, 2024
Adult learners are a significant proportion of distance learners and many of these students are working mothers. Several instructional design models center the learner, and this requires understanding the learner needs, strengths, and context. There is a gap in the literature describing the experience of modern working mother students in distance…
Descriptors: Mothers, Employed Parents, Employed Women, Adult Students
Thapliyal, Monika; Ahuja, Neelu Jyothi; Shankar, Achyut; Cheng, Xiaochun; Kumar, Manoj – Journal of Computing in Higher Education, 2022
This paper presents the ontological design and implementation of the differentiated learning environment in the domain model of an intelligent tutoring system for children with specific learning disabilities. It addresses the learners need for differentiated instruction in a preferential learning environment. The proposed model helps to identify…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Students with Disabilities, Learning Disabilities
Tan, Tanya Y.; Jain, Misha; Obaid, Teeba; Nesbit, John C. – Journal of Computing in Higher Education, 2020
Learning management systems (LMS) offer quiz tools that help students prepare for examinations. The purpose of this study is to investigate quiz tracking variables typically reported by LMS in relation to student achievement, motivation and learning strategies. The data from 143 undergraduate students comprised quiz tracking variables (number of…
Descriptors: Tests, Time on Task, Student Motivation, Learning Strategies
Schumacher, Clara; Ifenthaler, Dirk – Journal of Computing in Higher Education, 2018
Depending on their motivational dispositions, students choose different learning strategies and vary in their persistence in reaching learning outcomes. As learning is more and more facilitated through technology, analytics approaches allow learning processes and environments to be analyzed and optimized. However, research on motivation and…
Descriptors: Student Motivation, Learning Strategies, Goal Orientation, Self Concept
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