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Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis
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Sanchez-Gordon, Sandra; Luján-Mora, Sergio – Journal of Educational Computing Research, 2018
There are millions of people worldwide--of all ages, conditions, backgrounds, and motivations--with significant learning needs. Unfortunately, traditional education is not efficient enough to meet these needs. That is, the available educational resources are not fully exploited to help cover the demand. There is an increasing need for large-scale…
Descriptors: Technological Advancement, Large Group Instruction, Online Courses, Technology Uses in Education
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Zheng, Robert Z.; Flygare, Jill A.; Dahl, Laura B. – Journal of Educational Computing Research, 2009
The present study investigated (1) the impact of cognitive styles on learner performance in well-structured and ill-structured learning, and (2) scaffolding as a cognitive tool to improve learners' cognitive abilities, especially field dependent (FD) learners' ability to thrive in an ill-structured learning environment. Two experiments were…
Descriptors: Electronic Learning, Online Courses, Learning Strategies, Computer Assisted Instruction
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Duncan, Heather E.; Barnett, John – Journal of Educational Computing Research, 2009
While opportunities for online learning are increasing in K-12 education, few teacher education programs include courses on online teaching and learning. Using Garrison and Anderson's (2003) "Community of Inquiry" framework, this qualitative study explored the educational experiences of pre-service teachers in an experiential online course…
Descriptors: Preservice Teacher Education, Preservice Teachers, Education Courses, Experiential Learning
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Shen, Demei; Nuankhieo, Piyanan; Huang, Xinxin; Amelung, Christopher; Laffey, James – Journal of Educational Computing Research, 2008
This study uses social network analysis (SNA) in an innovative way to describe interaction and explain how interaction influences sense of community of students in online learning environments. The findings reveal differences on sense of community between two similarly structured online courses, and show unique interaction patterns for students in…
Descriptors: Network Analysis, Online Courses, Interaction, Social Networks
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Lee, Chun-Hsiung; Yeh, Dowming; Kung, Regina J.; Hsu, Chin-Shan – Journal of Educational Computing Research, 2007
This study mainly investigates the factors affecting the learning effects in a blended e-Learning course for Mathematics. The research targets of this study are 48 junior high school students. After they had received traditional lessons in class as well as the accompanied e-Learning lessons, the influences of their learning portfolios and learning…
Descriptors: Portfolios (Background Materials), Multiple Regression Analysis, Data Analysis, Gender Differences
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Pan, Cheng-Chang (Sam); Sivo, Stephen; Gunter, Glenda; Cornell, Richard – Journal of Educational Computing Research, 2005
Five factors affecting student use of an eLearning management system in two Web-enhanced hybrid undergraduate courses are investigated using the Technology Acceptance Model (TAM). This research represents a causal relationship existing between students' attitude toward WebCT and their actual use of the system. Students' perception of the WebCT…
Descriptors: Student Attitudes, Management Systems, Undergraduate Study, Computer Assisted Instruction
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Peled, Alon; Rashty, David – Journal of Educational Computing Research, 1999
Discussion of learning environments for distance education based on the World Wide Web (WWW) focuses on how academic institutions can collect and analyze data in order to determine the effectiveness of computer mediated distance learning. Describes three models that use analyses of computerized log files, and presents a case study. (Author/LRW)
Descriptors: Case Studies, Computer Assisted Instruction, Data Analysis, Distance Education
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Bangert, Arthur W. – Journal of Educational Computing Research, 2006
Traditional student evaluations of teaching do not adequately assess the essential constructivist-based practices that have been recommended for effective online instruction. There is a need for student evaluation of teaching instruments that are specifically designed to provide online instructors with valid feedback about the effectiveness of…
Descriptors: Computer Assisted Instruction, Teaching Methods, Instructional Effectiveness, Online Courses
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Malikowski, Steven R.; Thompson, Merton E.; Theis, John G. – Journal of Educational Computing Research, 2007
Course management systems (CMSs), such as Blackboard, Desire2Learn, or WebCT, have become a common resource at universities, colleges, and distance learning organizations. Research into how these systems are used for learning is in an early state. Currently, this research focuses on technical features in a CMS more than research about how people…
Descriptors: Learning Theories, Distance Education, Online Courses, Higher Education
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Reeves, Thomas C. – Journal of Educational Computing Research, 2000
Describes the need and prospects for alternative assessment approaches in online learning environments in higher education. Explains the difference between assessment and evaluation and discusses three approaches to integrating alternative assessment approaches into online learning environments: cognitive assessment, performance assessment, and…
Descriptors: Cognitive Measurement, Computer Assisted Instruction, Educational Environment, Evaluation Methods
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Schell, Robyn; Kaufman, David – Journal of Educational Computing Research, 2009
The web has the potential to offer an environment that can support standardized medical education to students dispersed in time or place and, in the process, respond to reduced availability of patients for practice. This exploratory article describes how we evaluated critical thinking in an online collaborative Problem-based Learning (PBL)…
Descriptors: Medical Education, Problem Based Learning, Patients, Critical Thinking