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Dai, Jing; Gu, Xiaoqing; Zhu, Jiawen – Journal of Educational Computing Research, 2023
Personalized recommendation plays an important role on content selection during the adaptive learning process. It is always a challenge on how to recommend effective items to improve learning performance. The aim of this study was to examine the feasibility of applying adaptive testing technology for personalized recommendation. We proposed the…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Evaluation Methods, Tests
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Song, Yi; Zhu, Mengxiao; Sparks, Jesse R. – Journal of Educational Computing Research, 2023
In this research, we use a process data analysis approach to gather additional evidence about students' argumentation skills beyond their performance scores in a computer-based assessment. This game-enhanced scenario-based assessment (named Seaball) included five activities that require students to demonstrate their argumentation skills within a…
Descriptors: Data Analysis, Academic Achievement, Interaction, Performance
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Ponce, Héctor R.; Mayer, Richard E.; Loyola, María Soledad – Journal of Educational Computing Research, 2021
One of the most common technology-enhanced items used in large-scale K-12 testing programs is the drag-and-drop response interaction. The main research questions in this study are: (a) Does adding a drag-and-drop interface to an online test affect the accuracy of student performance? (b) Does adding a drag-and-drop interface to an online test…
Descriptors: Computer Assisted Testing, Test Construction, Standardized Tests, Elementary School Students
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Thompson, Meredith Myra; Braude, Eric John – Journal of Educational Computing Research, 2016
The assessment of learning in large online courses requires tools that are valid, reliable, easy to administer, and can be automatically scored. We have evaluated an online assessment and learning tool called Knowledge Assembly, or Knowla. Knowla measures a student's knowledge in a particular subject by having the student assemble a set of…
Descriptors: Computer Assisted Testing, Teaching Methods, Online Courses, Critical Thinking
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Slee, Phillip T.; Mohyla, Jury – Journal of Educational Computing Research, 2014
School bullying is an international problem with harmful outcomes for those involved. This study describes the design and field testing of an innovative computer-based social learning tool for assessing student perceptions of bullying developed for an Australian intervention program called the P.E.A.C.E. Pack. Students rate their peer group…
Descriptors: Bullying, Peer Relationship, Social Development, Intervention
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Scheu, Ian Edward; Lawrence, Thomas – Journal of Educational Computing Research, 2013
This article details the construction of a computer program to test cognitive processing differences in adolescents engaged in a standard presentation of tests versus a fantasy-based game presentation. The article will discuss the challenges of creating a replication of traditional psychological tests into a new medium which holds comparable…
Descriptors: Psychological Testing, Computer Assisted Testing, Games, Adolescents