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Showing 1 to 15 of 47 results Save | Export
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E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
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Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
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Bowers, Jonathan; Eidin, Emanuel; Stephens, Lynn; Brennan, Linsey – Journal of Science Education and Technology, 2023
Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…
Descriptors: Computer Science Education, Systems Approach, Thinking Skills, Science Education
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Kuang, Huan; Sahin, Fusun – Large-scale Assessments in Education, 2023
Background: Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter estimates. However, the amount of bias, and whether this bias is similar across administrations, is…
Descriptors: Test Items, Comparative Analysis, Mathematics Tests, Reaction Time
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Liu, Min; Li, Chenglu; Pan, Zilong; Pan, Xin – Interactive Learning Environments, 2023
More research is needed on how to best use analytics to support educational decisions and design effective learning environments. This study was to explore and mine the data captured by a digital educational game designed for middle school science to understand learners' behavioral patterns in using the game, and to use evidence-based findings to…
Descriptors: Computer Games, Educational Games, Instructional Design, Instructional Effectiveness
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Jennie K. Grammer; Keye Xu; Agatha Lenartowicz – npj Science of Learning, 2021
Activities that are effective in supporting attention have the potential to increase opportunities for student learning. However, little is known about the impact of instructional contexts on student attention, in part due to limitations in our ability to measure attention in the classroom, typically based on behavioral observation and…
Descriptors: Correlation, Classroom Environment, Attention Control, Diagnostic Tests
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Rovers, Sanne F. E.; Clarebout, Geraldine; Savelberg, Hans H. C. M.; de Bruin, Anique B. H.; van Merriënboer, Jeroen J. G. – Metacognition and Learning, 2019
Although self-regulated learning (SRL) is becoming increasingly important in modern educational contexts, disagreements exist regarding its measurement. One particularly important issue is whether self-reports represent valid ways to measure this process. Several researchers have advocated the use of behavioral indicators of SRL instead. An…
Descriptors: Metacognition, Measurement, Learning Strategies, Comparative Analysis
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Yildirim, Denizer; Usluel, Yasemin – Australasian Journal of Educational Technology, 2022
This study aimed to examine the behaviour of learners across a whole system and in various courses to reveal the interrelation between learners' system interaction, age, programme features and course design. We obtained data from the system logs of 1,634 learners enrolled in distance learning programmes. We performed hierarchical clustering…
Descriptors: Interaction Process Analysis, Academic Achievement, Online Courses, Student Behavior
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Teichert, Melonie A.; Schroeder, Maria J.; Lin, Shirley; Dillner, Debra K.; Komperda, Regis; Bunce, Diane M. – Journal of Chemical Education, 2020
On the basis of the results of two prior studies at the US Naval Academy (USNA), which described the choice of study resources and the self-reported learning approaches of students of differing achievement levels, the current investigation examines how students of differing achievement levels in general chemistry actually solve multiple-choice…
Descriptors: Problem Solving, Chemistry, Science Instruction, Science Tests
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Liu, Zhi; Zhang, Wenjing; Cheng, Hercy N. H.; Sun, Jianwen; Liu, Sannyuya – International Journal of Distance Education Technologies, 2018
As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online…
Descriptors: Discourse Analysis, Correlation, Academic Achievement, Learner Engagement
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Jo, I.; Park, Y.; Lee, H. – Journal of Computer Assisted Learning, 2017
An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis…
Descriptors: Computer Mediated Communication, Interaction Process Analysis, Undergraduate Students, Predictor Variables
Adamson, Reesha M.; Lewis, Timothy J. – Behavioral Disorders, 2017
A single subject alternating treatment design across three student-teacher dyads was used to investigate the comparative impact on student academic engaged time of three opportunity-to-respond (OTR) strategies: guided notes, class-wide peer tutoring, and response cards. Participants were three high school students with disabilities with noted…
Descriptors: Student Behavior, Behavior Problems, High School Students, Comparative Analysis
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Papadopoulos, P. M.; Demetriadis, S. N.; Weinberger, A. – Journal of Computer Assisted Learning, 2013
This paper investigates the impact of the proposed "Make It Explicit!" technique on students' learning when participating in scripted collaborative activities. The method posits that when asking students to proactively articulate their own positions explicitly, then improved peer interaction is triggered in a subsequent…
Descriptors: Cooperative Learning, Peer Evaluation, Computer Uses in Education, Scaffolding (Teaching Technique)
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Aspiranti, K. B.; McCleary, D. F.; McCleary, L. N.; Ga-lyon, C. E.; Blondin, C. A.; Yaw, J. S.; Williams, R. L. – Journal on Excellence in College Teaching, 2013
The authors examined the effects of randomized and delayed credit on the percentage of college students participating at four pre-defined levels on each class discussion day: non-participation, credit-level participation, frequent participation, and dominant participation. Although the same amount of participation credit was available to students…
Descriptors: College Students, Student Participation, College Credits, Reinforcement
Lee, Woon Jee – ProQuest LLC, 2012
The purpose of this study was to explore the nature of students' mapping and discourse behaviors while constructing causal maps to articulate their understanding of a complex, ill-structured problem. In this study, six graduate-level students were assigned to one of three pair groups, and each pair used the causal mapping software program,…
Descriptors: Student Behavior, Graduate Students, Maps, Computer Uses in Education
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