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Saqr, Mohammed; López-Pernas, Sonsoles – International Journal of Computer-Supported Collaborative Learning, 2023
Early research on online PBL explored student satisfaction, effectiveness, and design. The temporal aspect of online PBL has rarely been addressed. Thus, a gap exists in our knowledge regarding how online PBL unfolds: when and for how long a group engages in collaborative discussions. Similarly, little is known about whether and what sequence of…
Descriptors: Online Courses, Problem Based Learning, Interaction, Group Dynamics
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Lange, Christopher; Costley, Jamie – Innovations in Education and Teaching International, 2022
Both sequencing content and fading instructional support are scaffolding techniques designed to make it easier for learners to process information. While sequencing content separates problems into manageable parts before problem-solving, fading of instruction gradually reduces instructional support before problem-solving. Although cognitive load…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Design, College Students
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Rüdian, Sylvio; Pinkwart, Niels – International Educational Data Mining Society, 2021
Finding the optimal topic sequence of online courses requires experts with lots of knowledge about taught topics. Having a good order is necessary for a good learning experience. By using educational recommender systems across different platforms we have the problem that the connection to an ontology sometimes does not exist. Thus, the state of…
Descriptors: Online Courses, Sequential Approach, Educational Technology, Computer Uses in Education
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ALSaad, Fareedah; Reichel, Thomas; Zeng, Yuchen; Alawini, Abdussalam – International Educational Data Mining Society, 2021
With the emergence of MOOCs, it becomes crucial to automate the process of a course design to accommodate the diverse learning demands of students. Modeling the relationships among educational topics is a fundamental first step for automating curriculum planning and course design. In this paper, we introduce "Topic Transition Map" (TTM),…
Descriptors: Online Courses, Student Diversity, Student Needs, Course Content
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Barthakur, Abhinava; Joksimovic, Srecko; Kovanovic, Vitomir; Corbett, Frederique C.; Richey, Michael; Pardo, Abelardo – Assessment & Evaluation in Higher Education, 2022
The success and satisfaction of students with online courses is significantly impacted by the sequencing of learning objectives and activities. Equally critical is designing online degree programs and structuring multiple courses to reduce learners' cognitive load and attain maximum learning success. In its current form, the evaluation of program…
Descriptors: Sequential Approach, Course Objectives, Behavioral Objectives, Online Courses
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Rizvi, Saman; Rienties, Bart; Rogaten, Jekaterina; Kizilcec, René F. – Journal of Computing in Higher Education, 2020
Studies on engagement and learning design in Massive Open Online Courses (MOOCs) have laid the groundwork for understanding how people learn in this relatively new type of informal learning environment. To advance our understanding of how people learn in MOOCs, we investigate the intersection between learning design and the temporal process of…
Descriptors: Online Courses, Learning Processes, Science Education, Learner Engagement
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Tan, Seng Chee; Wang, Xinghua; Li, Lu – Journal of Educational Computing Research, 2022
This study explored the development trajectory of shared epistemic agency in online collaborative learning through epistemic network analysis and lag sequential analysis. It was carried out in a postgraduate course with 14 in-service teachers. Drawing on the online discussion data from six sessions and the participants' academic scores, this study…
Descriptors: Cooperative Learning, Epistemology, Personal Autonomy, Online Courses
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
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AlDahdouh, Alaa A. – International Journal of Research in Education and Science, 2019
Although extensive research has been carried out on massive open online courses (MOOCs) as representative of connectivist environment, none of them has succeeded to enlighten our understanding about the individual learning experience in connectivist environment at higher educational context. This paper taped into this crucial issue and traced the…
Descriptors: Learning Experience, Protocol Analysis, Online Courses, College Students
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Mi, Fei; Faltings, Boi – International Educational Data Mining Society, 2017
Massive open online courses (MOOCs) have demonstrated growing popularity and rapid development in recent years. Discussion forums have become crucial components for students and instructors to widely exchange ideas and propagate knowledge. It is important to recommend helpful information from forums to students for the benefit of the learning…
Descriptors: Online Courses, Sequential Approach, Discussion Groups, Student Interests
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Ho, Jeffrey C. F.; Yao, Mike Z. – Journal of Educators Online, 2018
Constructivist learning posits that learners should construct their own meaning and organization of knowledge through exploration. Web-based distributed interactive learning (DIL) environments are a type of information and communications technology that supports learners in exploring learning materials. Although educators can access learners'…
Descriptors: Constructivism (Learning), Visualization, Web Sites, Outcomes of Education
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Kim, Dae-Hee; Hettche, Matt; Spiller, Lisa – Marketing Education Review, 2019
To advance the pedagogical discussion on adopting third-party certifications in marketing courses, this article examines responses of undergraduate students with different learning styles to the online certification program incorporated into marketing classes. While the overall student opinions were positive especially as a valuable addition for…
Descriptors: Marketing, Cognitive Style, Certification, Undergraduate Students
DuPaul, George J.; Kern, Lee; Belk, Georgia; Custer, Beth; Hatfield, Andrea; Daffner, Molly; Peek, Daniel – Topics in Early Childhood Special Education, 2018
The most efficacious psychosocial intervention for reducing attention-deficit/hyperactivity disorder (ADHD) symptoms in young children is behavioral parent training (BPT). Potential benefits are hindered by limited accessibility, low session attendance, and poor implementation of prescribed strategies. As a result, only approximately half of…
Descriptors: Intervention, Young Children, Parent Participation, Individual Development
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Gitinabard, Niki; Barnes, Tiffany; Heckman, Sarah; Lynch, Collin F. – International Educational Data Mining Society, 2019
Students' interactions with online tools can provide us with insights into their study and work habits. Prior research has shown that these habits, even as simple as the number of actions or the time spent on online platforms can distinguish between the higher performing students and low-performers. These habits are also often used to predict…
Descriptors: Blended Learning, Student Adjustment, Online Courses, Study Habits
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Liu, Sanya; Hu, Zhenfan; Peng, Xian; Liu, Zhi; Cheng, H. N. H.; Sun, Jianwen – International Journal of Distance Education Technologies, 2017
In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Educational Research
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