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Showing 1 to 15 of 65 results Save | Export
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Granic, Andrina; Nakic, Jelena; Marangunic, Nikola – Journal of Educational Computing Research, 2020
Although virtual reality became popular technology whose application is recognized in various domains, the field generally still lacks a widespread culture of usability. This is also evident when considering environments intended for learning, specifically virtual learning environments (VLEs). According to our findings, it is clear that there is a…
Descriptors: Usability, Virtual Classrooms, Evaluation Methods, Computer Simulation
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Peng, Tzu-Hsiang; Wang, Tzu-Hua – Journal of Educational Computing Research, 2022
Pedagogical agents (PAs) are a crucial aspect of the e-learning environment. A PA is defined as a virtual character presented on an interface, and they are designed to promote student learning. PAs have been widely discussed in academic papers. However, an appropriate analysis framework has not been proposed because of the diversity and complexity…
Descriptors: Electronic Learning, Instructional Effectiveness, Intelligent Tutoring Systems, Evaluation Methods
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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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Liu, Ruohan; Luo, Feiya; Israel, Maya – Journal of Educational Computing Research, 2023
Technology has become an integral part of teaching and learning, but there is still limited understanding of how it is utilized to support computing education in early childhood. To address this knowledge gap, this review investigated the current implementation of computing technologies in early childhood settings, the implementation of computing…
Descriptors: Technology Integration, Computer Science Education, Literature Reviews, Learning Activities
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Lee, Hsin-Yu; Cheng, Yu-Ping; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – Journal of Educational Computing Research, 2023
Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active,…
Descriptors: Learning Processes, Instructional Effectiveness, STEM Education, Student Behavior
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Pejic, Marko; Savic, Goran; Segedinac, Milan – Journal of Educational Computing Research, 2021
This study proposes a software system for determining gaze patterns in on-screen testing. The system applies machine learning techniques to eye-movement data obtained from an eye-tracking device to categorize students according to their gaze behavior pattern while solving an on-screen test. These patterns are determined by converting eye movement…
Descriptors: Eye Movements, Computer Assisted Testing, Computer Software, Evaluation Methods
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Semerci, Yusuf Can; Goularas, Dionysis – Journal of Educational Computing Research, 2021
Estimating the flow state of students in a course allows evaluating their sentimental state and the challenges they are facing. In e-learning platforms, the evaluation of flow state is a complex task because it depends on the ability to extract the parameters that better reflect the activity and effort of students. In this scope, the current study…
Descriptors: Educational Technology, Electronic Learning, Interaction, Online Courses
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Hautala, Jarkko; Heikkilä, Riikka; Nieminen, Lea; Rantanen, Vesa; Latvala, Juha-Matti; Richardson, Ulla – Journal of Educational Computing Research, 2020
Computerized game-based assessment (GBA) system for screening reading difficulties may provide substantial time and cost benefits over traditional paper-and-pencil assessment while providing means also to individually adapt learning content in educational games. To study the reliability and validity of a GBA system to identify struggling readers…
Descriptors: Reading Difficulties, Ability Identification, Evaluation Methods, Reliability
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Güler, Çetin – Journal of Educational Computing Research, 2017
The aim of this study is to investigate the use of WhatsApp application in anonymous peer assessment in higher education. The mobile phone application WhatsApp was used as both an anonymous and nonanonymous peer assessment tool in a classroom environment. The participants of the study were the students of two classes (sophomores and juniors), half…
Descriptors: Technology Uses in Education, Computer Uses in Education, Computer Oriented Programs, Higher Education
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Wu, Shu-Fen; Lu, Yu-Ling; Lien, Chi-Jui – Journal of Educational Computing Research, 2021
Previous studies measured flow states using students' self-reported experiences, resulting in issues regarding nonobjective and nonreal-time data. Thus, this study used an electroencephalogram (EEG) to measure the EEG-detected real-time flow states (EEG-Fs) of 30 students from the 4th and 5th grades. Their EEG measurements, self-reported…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Student Attitudes, Grade 4
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Fors, Uno G. H.; Gunning, William T. – Journal of Educational Computing Research, 2014
Virtual patient cases (VPs) are used for healthcare education and assessment. Most VP systems track user interactions to be used for assessment. Few studies have investigated how virtual exam cases should be scored and graded. We have applied eight different scoring models on a data set from 154 students. Issues studied included the impact of…
Descriptors: Scoring Rubrics, Health Education, Evaluation Methods, Case Method (Teaching Technique)
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Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
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Contreras-Higuera, Williams E.; Martínez-Olmo, Francesc; Rubio-Hurtado, M. José; Vilà-Baños, Ruth – Journal of Educational Computing Research, 2016
This article presents a study with a twofold research aim: (a) to ascertain university students' perceptions on two combined assessment tools (e-portfolios and formative rubrics) and (b) to identify if among students there were differing perceptions on the use of e-portfolios, and what factors favored acceptance of these. The data gathering method…
Descriptors: College Students, Portfolios (Background Materials), Internet, Student Attitudes
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Lee, Jeong-Sook; Kim, Sung-Wan – Journal of Educational Computing Research, 2015
The purpose of this study is to develop and validate an evaluation tool of educational apps for smart education. Based on literature reviews, a potential model for evaluating educational apps was suggested. An evaluation tool consisting of 57 survey items was delivered to 156 students in middle and high schools. An exploratory factor analysis was…
Descriptors: Educational Technology, Courseware, Computer Software Evaluation, Test Construction
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Wu, Bian; Hu, Yiling; Gu, Xiaoqing; Lim, Cher Ping – Journal of Educational Computing Research, 2016
As information and communication technology (ICT) continues to develop, it is essential for teachers to acquire ability for teaching with ICT. In China, new higher education (HE) teachers often lack teaching experience because there are limited teaching opportunities during their postgraduate studies. This status quo may compromise the quality of…
Descriptors: Professional Development, Higher Education, Beginning Teachers, College Faculty
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