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Haniya, Samaa; Paquette, Luc – E-Learning and Digital Media, 2020
Understanding learner participation is essential to any learning environment to enhance teaching and learning, especially in large scale digital spaces, such as massive open online courses. However, there is a lack of research to fully capture the dynamic nature of massive open online courses and the different ways learners participate in these…
Descriptors: Student Participation, Online Courses, Electronic Learning, Student Motivation
Nan Yang; Patrizia Ghislandi – Higher Education: The International Journal of Higher Education Research, 2024
The two main trends in the development of higher education worldwide are universal access and digital transformation. These trends are bringing about an increase in class sizes and the growth of online higher education. Previous studies indicated that both the large-class setting and online delivery threaten the quality, and the exploration of…
Descriptors: Foreign Countries, Required Courses, Educational Quality, Teaching Methods
Sarah L. Cresswell; Wendy A. Loughlin; Tak H. Kim – Chemistry Education Research and Practice, 2024
The rise of technology and online approaches has challenged the traditional learning and teaching model for first year chemistry of formal face-to-face lectures and in-person laboratory sessions. The COVID-19 pandemic since 2020 has created a rapidly changing environment in assessment and learning experiences for students and led to rapid adoption…
Descriptors: Chemistry, Science Instruction, Online Courses, Teaching Methods
Boroujeni, Mina Shirvani; Dillenbourg, Pierre – Journal of Learning Analytics, 2019
The large-scale and granular interaction data collected in online learning platforms such as massive open online courses (MOOCs) provide unique opportunities to better understand individuals' learning processes and could facilitate the design of personalized and more effective support mechanisms for learners. In this paper, we present two…
Descriptors: Online Courses, Large Group Instruction, Learning Processes, Study Habits
Beirne, Elaine; Mhichíl, Mairéad Nic Giolla; Cleircín, Gearóid Ó – Research-publishing.net, 2017
Many of the major Massive Open Online Course (MOOC) platforms support learning approaches which can be roughly categorised as transmission-based and asynchronous (Morris & Lambe, 2014), with limited forms of interactive elements. Language learning is viewed within this study as an active process which includes knowledge, skills, and cultural…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
An, Truong-Sinh; Krauss, Christopher; Merceron, Agathe – International Educational Data Mining Society, 2017
The emergence of Massive Open Online Courses (MOOCs) has enabled new research to analyze typical behaviors of learners. In this paper, we investigate whether this research is generalizable to other courses that are backed by a learning management system (LMS) as MOOCs are. Building on methods developed by others, we characterize individual…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, College Students
Wen, Miaomiao; Maki, Keith; Wang, Xu; Dow, Steven P.; Herbsleb, James; Rose, Carolyn – International Educational Data Mining Society, 2016
To create a satisfying social learning experience, an emerging challenge in educational data mining is to automatically assign students into effective learning teams. In this paper, we utilize discourse data mining as the foundation for an online team-formation procedure. The procedure features a deliberation process prior to team assignment,…
Descriptors: Educational Research, Data Collection, Cooperative Learning, Predictor Variables
Davis, Dan; Chen, Guanliang; Hauff, Claudia; Houben, Geert-Jan – International Educational Data Mining Society, 2016
Massive Open Online Course (MOOC) platform designs, such as those of edX and Coursera, afford linear learning sequences by building scaffolded knowledge from activity to activity and from week to week. We consider those sequences to be the courses' "designed" learning paths. But do learners actually adhere to these designed paths, or do…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Mercado-Varela, Martin Alonso; Beltran, Jesus; Perez, Marisol Villegas; Vazquez, Nohemi Rivera; Ramirez-Montoya, Maria-Soledad – Turkish Online Journal of Distance Education, 2017
The role of facilitators in distance learning environments is of substantial importance in supporting the learning process. This article specifically discusses the role of the facilitator in Massive Open Online Courses (MOOC), which are characterized by their stimulation of learning connections. The study analyzes the experiences of 135…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Facilitators (Individuals)
Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Milligan, Sandra; Griffin, Patrick – Journal of Learning Analytics, 2016
The paper describes empirical investigations of how participants in a MOOC learn, and the implications for MOOC design. A learner capability to generate higher order learning in MOOCs--called crowd-sourced learning (C-SL) capability--was defined from learning science literature. The capability comprised a complex yet interrelated array of…
Descriptors: Online Courses, Large Group Instruction, Thinking Skills, Learning Processes
Jo, Yohan; Tomar, Gaurav; Ferschke, Oliver; Rosé, Carolyn P.; Gaševic, Dragan – International Educational Data Mining Society, 2016
An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For this goal in the context of social interaction in learning, we propose a three-part pipeline that includes data infrastructure, learning process…
Descriptors: Information Retrieval, Learning Processes, Interaction, Interpersonal Relationship
Milligan, Colin; Littlejohn, Allison – International Review of Research in Open and Distance Learning, 2014
Professional learning, combining formal and on the job learning, is important for the development and maintenance of expertise in the modern workplace. To integrate formal and informal learning, professionals have to have good self-regulatory ability. Formal learning opportunities are opening up through massive open online courses (MOOCs),…
Descriptors: Online Courses, Large Group Instruction, Learning Strategies, Self Management
Nakayama, Minoru; Mutsuura, Kouichi; Yamamoto, Hiroh – Electronic Journal of e-Learning, 2014
A fully online learning environment requires effective learning management in order to promote pro-active education. Since student's notes are a reflection of the progress of their education, analysis of notes taken can be used to track the learning process of students who participate in fully online courses. This paper presents the causal…
Descriptors: Foreign Countries, Electronic Learning, Notetaking, Learning Processes
Evans, Heather K.; Cordova, Victoria – Journal of Political Science Education, 2015
In a recent study regarding online lecture videos, Evans (2014) shows that lecture videos are not superior to still slides. Using two Introduction to American Government courses, taught in a 4-week summer session, she shows that students in a non-video course had higher satisfaction with the course and instructor and performed better on exams than…
Descriptors: Lecture Method, Video Technology, Online Courses, Electronic Learning
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