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Gu, Xiaoqing; Xu, Hongjin – Journal of Educational Computing Research, 2019
Advancements in learning analytics allow teachers to track student learning progress and promote learning by providing necessary intervention and support. Multiple data sources are involved in learning analytics, and the major ones are systems that students use in school. To fully comprehend the progress of student learning, out-of-school learning…
Descriptors: Learning Processes, Computer Use, Informal Education, Learning Experience
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Mphahlele, Amanda; McKenna, Sioux – Assessment & Evaluation in Higher Education, 2019
Plagiarism needs to be addressed to maintain academic standards and to safeguard the integrity of the academic project. With the evolving digital world, conventional methods of addressing plagiarism are gradually being dismissed in favour of new technologies. Unfortunately, there is a general misunderstanding about what such technologies do. This…
Descriptors: Plagiarism, Misconceptions, Higher Education, Public Colleges
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Cansu, Sibel Kiliçarslan; Cansu, Fatih Kürsat – International Journal of Computer Science Education in Schools, 2019
Computers and smart devices have become ubiquitous staples of our lives. Computers and computer-controlled devices are used in all industries from medicine to engineering, and textile production. One field where computers have inevitably spread into is education, and one pre-requisite of controlling computers, or increasing the level and…
Descriptors: Computation, Thinking Skills, Problem Solving, Computer Science Education
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Pakdaman-Savoji, Azar; Nesbit, John Cale; Gajdamaschko, Natalia – Australasian Journal of Educational Technology, 2019
The term "cognitive tool" has been used in many areas of academic specialisation, where it has taken on multiple connotations. In this historical and systematic review, we investigate the conceptualisation of cognitive tools in the learning sciences and educational technology. First, the theory of cognitive tools vis-à-vis learning and…
Descriptors: Educational Technology, Cognitive Development, Psychology, Computer Uses in Education
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Aydogdu, Seyhmus; Güyer, Tolga – Malaysian Online Journal of Educational Technology, 2019
Concept and knowledge maps are used often in learning process as two dimensional learning materials. These maps are important in comprehending concepts of a subject and relationships between these concepts. Nowadays, concept maps can be used beyond student drawings as digital navigation tools in real life. The aim of this study is to investigate…
Descriptors: Concept Mapping, Computer Uses in Education, Navigation (Information Systems), Electronic Learning
Yang, Somang – ProQuest LLC, 2019
This exploratory study provides a foundation to measure students' level of learning based on education theory for digital technology and meaningful technology theory for digital literacy. There has yet to exist an effective assessment tool that can evaluate students' digital literacy. To provide initial insight into the digital technology…
Descriptors: Interior Design, Computer Literacy, Undergraduate Students, Freehand Drawing
European Commission, 2019
The second objective of the '2nd Survey of Schools: ICT in Education' designs a conceptual model for a 'highly equipped and connected classroom' (HECC), defines three scenarios of a HECC and estimates the costs to equip and connect an average EU classroom with advanced components of the HECC model. The entry level scenario outlines the minimum and…
Descriptors: Computer Uses in Education, Technology Integration, Costs, Faculty Development
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Tavis D. Jules – International Perspectives on Education and Society, 2019
With the advent of the fourth industrial revolution and the intelligent economy, this conceptual chapter explores the evolution of educational governance from one based on governing by numbers and evidence-based governance to one constituted around governance by data or data-based educational governance. With the rise of markets and networks in…
Descriptors: Educational Administration, Governance, Knowledge Economy, Data Analysis
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de Mooij, Susanne M. M.; Raijmakers, Maartje E. J.; Dumontheil, Iroise; Kirkham, Natasha Z.; van de Maas, Han L. J. – Journal of Computer Assisted Learning, 2021
While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision-making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options.…
Descriptors: Error Patterns, Identification, Computer Peripherals, Computer Uses in Education
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Liaqat, Amna; Munteanu, Cosmin; Demmans Epp, Carrie – International Journal of Artificial Intelligence in Education, 2021
300,000 immigrants move to Canada each year in search of better economic opportunities, and many have limited English language skills. Improving written literacy of newcomers can enhance education, employment, or social integration opportunities. However, frequent, timely, and personalized feedback is not always possible for immigrants. Online…
Descriptors: Adult Students, English Language Learners, Feedback (Response), Automation
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Chen, Ching-Huei; Hung, Hsiu-Ting; Yeh, Hui-Chin – Journal of Computer Assisted Learning, 2021
Learning a foreign language requires interaction with language input while involved in a task. Given that problem-based learning (PBL) offers hands-on application in realistic contexts, and that virtual reality (VR) enables learners to interact with multiple modalities of information, this study examines how the integration of VR technology into…
Descriptors: Problem Based Learning, English for Special Purposes, Second Language Learning, Computer Simulation
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Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
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Pastore, A.; Romero, A. M.; Diget, C.; Rios, A.; Leech, K.; Stokoe, P. – Physics Education, 2021
We present a simple activity based on the liquid-drop model which allows secondary school students to explore the uses of mathematical models and gain an intuitive understanding of the concept of binding energy, and in particular the significance of positive binding energy. Using spreadsheets provided as supplementary material, students can…
Descriptors: Science Instruction, Energy, Computer Uses in Education, Teaching Methods
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Leung, Promail K. Y.; Cheng, Maurice M. W. – Journal of Educational Technology Systems, 2021
Students nowadays grow up with electronic devices and are adept at navigating the virtual world. Practical activities may be more of a novelty for them than simulations. Using the topic of electric circuits as a context, we examined the ways in which Grade 11 students perceived and learned from practical work and simulations, respectively. In this…
Descriptors: Grade 11, Experiential Learning, Computer Simulation, Electronic Equipment
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Lajoie, Susanne P. – International Journal of Artificial Intelligence in Education, 2021
I first met Jim Greer at the NATO Advanced Study Institute on Syntheses of Instructional Sciences and Computing Science for Effective Instructional Computing Systems in 1990 in Calgary, Canada. It was during this meeting that I came to realize that Jim was one of those rare individuals that could help "translate" computer science…
Descriptors: Models, Student Characteristics, Artificial Intelligence, Computer Uses in Education
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