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Showing 1 to 15 of 23 results Save | Export
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Zheng, Juan; Li, Shan; Lajoie, Susanne P. – Education and Information Technologies, 2022
This study examined the relationships between clinical reasoning behaviors and diagnostic efficiency in the context of diagnosing a virtual patient in BioWorld, a technology-rich environment designed for medical students to practice clinical reasoning skills. Eighty-two medical students who correctly solved a patient case with Diabetes Mellitus…
Descriptors: Clinical Diagnosis, Patients, Medical Students, Technology Uses in Education
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Kendra E. Guinness; Philip N. Chase; Kylan S. Turner; Judah B. Axe – Journal of Behavioral Education, 2024
Graphing is a complex and critical skill for behavior analysts. We evaluated the effects of conceptual training modules and feedback checklists on verbal behavior about graphing conventions and adherence to graphing conventions with graduate students in behavior analysis. In Experiment 1, conceptual training increased the accuracy of verbal…
Descriptors: Feedback (Response), Check Lists, Sequential Approach, Concept Formation
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Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach
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Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
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Machado, João Cláudio; Barreira, Daniel; Teoldo, Israel; Travassos, Bruno; Júnior, João Bosco; Santos, João Otacílio Libardoni Dos; Scaglia, Alcides José – Research Quarterly for Exercise and Sport, 2019
Purpose: This study aimed to investigate if player tactical skill level and age category influence team performance and player exploratory behavior in tasks with different difficulty levels. Method: In total, 48 youth male soccer players participated in the study (U15, n = 24, mean age = 13.06 [plus or minus] 1.53 years; U17, n = 24, mean age =…
Descriptors: Team Sports, Difficulty Level, Efficiency, Athletes
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Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
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Zhu, Mengxiao; Zhang, Mo; Deane, Paul – ETS Research Report Series, 2019
The research on using event logs and item response time to study test-taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed the keystroke logs collected from 761 middle school students in the United States as they completed a persuasive writing task. Seven variables were extracted from the…
Descriptors: Keyboarding (Data Entry), Data Collection, Data Analysis, Writing Processes
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Shen, Shitian; Chi, Min – International Educational Data Mining Society, 2017
One of the most challenging tasks in the field of Educational Data Mining (EDM) is to cluster students directly based on system-student sequential moment-to-moment interactive trajectories. The objective of this study is to build a general temporal clustering framework that captures the distinct characteristics of students' sequential behaviors…
Descriptors: Sequential Approach, Cluster Grouping, Interaction, Student Behavior
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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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Hwang, Gwo-Jen; Chen, Chih-Hung – British Journal of Educational Technology, 2017
In this paper, an inquiry-based ubiquitous gaming approach was proposed. The objective of the study was to enhance students' performances in in-field learning activities. To show the advantages of the approach, an experiment was carried out to assess the effects of it on students' learning achievement, motivation, critical thinking, and problem…
Descriptors: Active Learning, Inquiry, Educational Games, Design
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Hu, Yiling; Wu, Bian; Gu, Xiaoqing – Interactive Learning Environments, 2017
Problem solving is considered a fundamental human skill. However, large-scale assessment of problem solving in K-12 education remains a challenging task. Researchers have argued for the development of an enhanced assessment approach through joint effort from multiple disciplines. In this study, a three-stage approach based on an evidence-centered…
Descriptors: Problem Solving, Online Courses, Elementary Secondary Education, Evidence Based Practice
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Damen, Saskia; Janssen, Marleen J.; Ruijssenaars, Wied A. J. J. M.; Schuengel, Carlo – American Annals of the Deaf, 2017
The High Quality Communication intervention aims to stimulate interpersonal communication between individuals with congenital deaf-blindness (CDB) and their social partners. Found effective in multiple-case experiments, the intervention is based on Trevarthen's theory of intersubjective development (Bråten & Trevarthen, 2007), which describes…
Descriptors: Congenital Impairments, Deaf Blind, Scaffolding (Teaching Technique), Intervention
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Wu, Sheng-Yi; Hou, Huei-Tse – Asia-Pacific Education Researcher, 2014
Project-based learning may enhance students' cognitive skills and knowledge construction. Online discussion stimulates the social interactions of project-based learning, and appropriate cognitive tools (such as concept maps) facilitate the coordination, planning, and implementation of projects. Currently, related studies on project-based learning…
Descriptors: Student Projects, Active Learning, Teaching Methods, Concept Mapping
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Cheng, Kun-Hung; Hou, Huei-Tse – Technology, Pedagogy and Education, 2015
Previous research regarding peer assessment has investigated the relationships between peer feedback and learners' performance. However, few studies investigate in-depth learning processes during technology-assisted peer assessment activities, particularly from affective, cognitive, and metacognitive perspectives. This study conducts a series of…
Descriptors: Behavior Patterns, Student Behavior, Metacognition, Peer Evaluation
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