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Showing 1 to 15 of 44 results Save | Export
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Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
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Fernando Castelló-Sirvent; Vanessa Roger-Monzó; Ricardo Gouveia-Rodrigues – Electronic Journal of e-Learning, 2024
In recent years, academic interest in new developments in Artificial Intelligence (AI) and its ethical challenges in higher education has increased. The new emerging technologies that have become popular among the university community in recent times require an exhaustive study to evaluate their impact on academic integrity and plagiarism. The…
Descriptors: Ethics, Higher Education, Artificial Intelligence, Computer Software
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Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
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Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
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Smolinski, Pawel Robert; Szostakowski, Marcin; Winiarski, Jacek – Electronic Journal of e-Learning, 2023
The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these…
Descriptors: Electronic Learning, Computer Software, Use Studies, Teacher Behavior
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Asnawi Muslem; Faisal Mustafa; Ruhul Reffina Rahayu; Eridafithri – Electronic Journal of e-Learning, 2024
Google Classroom has been frequently used as an e-learning platform to substitute for Learning Management System (LMS), and the use of its features (Classwork, Stream, People, etc.) varies among teachers with different goals, focuses, and familiarity. However, research has not addressed how the selection of Google Classroom features affects…
Descriptors: Computer Software, Virtual Classrooms, Teaching Methods, English (Second Language)
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Peled, Yehuda; Kurtz, Gila; Avidov-Ungar, Orit – Electronic Journal of e-Learning, 2021
This paper presents the results of an empirical study on validation of performance statements for an inventory of the digital literacy skills required for learning. These skills are used to determine digital readiness of pre-service teachers. The paper reports on validation of an adjusted set of 54 performance statements which were categorized…
Descriptors: Technological Literacy, Preservice Teachers, Foreign Countries, Validity
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Arnold, Ross D.; Wade, Jon P. – Electronic Journal of e-Learning, 2017
The U.S. defense industry spends billions of dollars each year developing defense systems to keep the nation and allies secure. However, the failure rate of system development is notoriously high. Even when development efforts do succeed, they often do so with cost overruns and compromises in system performance. As a result, large amounts of money…
Descriptors: Robotics, Computer Simulation, Computer Software, Systems Approach
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Ferdiánová, Vera – Electronic Journal of e-Learning, 2017
"The use of e-learning and modern technologies is an integral part of teaching descriptive geometry" (Rankowski and Minaruth, 1979). Teachers often create Flash animations, websites and other interactive materials for their students using special tools and software; e.g. Cabri, GeoGebra or Construct 3D (García et al, 2007). There is an…
Descriptors: Integrated Learning Systems, Geometry, Educational Technology, Technology Uses in Education
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Luef, Eva Maria; Ghebru, Bethel; Ilon, Lynn – Electronic Journal of e-Learning, 2019
Use and development of applications for smartphones (so-called 'apps') continue to rise, and it comes as no surprise that language learning apps (such as Google Translate) are immensely popular among the younger generation. But, do these apps actual help students learn a language and, if so, how is apps usage influenced by the proficiency of the…
Descriptors: Second Language Learning, Second Language Instruction, Computer Software, Telecommunications
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Adelabu, Folake Modupe; Makgato, Moses; Ramaligela, Manto Sylvia – Electronic Journal of e-Learning, 2019
The use of dynamic geometry computer software (DGCS) is important in educational environment, and it is more advantageous for learning mathematics comprehensively. This study examined the importance of dynamic geometry computer software on learners' performance in geometry. A quasi experimental, non-equivalent control group was used. The…
Descriptors: Geometry, Computer Software, Academic Achievement, Foreign Countries
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Tan, Qing; Chang, William; Kinshuk – Electronic Journal of e-Learning, 2015
AR technology can be considered as mainly consisting of two aspects: identification of real-world object and display of computer-generated digital contents related the identified real-world object. The technical challenge of mobile AR is to identify the real-world object that mobile device's camera aim at. In this paper, we will present a…
Descriptors: Educational Technology, Telecommunications, Simulated Environment, Computer Simulation
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Pløhn, Trygve; Louchart, Sandy; Aalberg, Trond – Electronic Journal of e-Learning, 2015
Pervasive gaming is a reality-based gaming genre originating from alternative theatrical forms in which the performance becomes a part of the players' everyday life. In recent years much research has been done on pervasive gaming and its potential applications towards specific domains. Pervasive games have been effective with regards to…
Descriptors: Story Telling, Foreign Countries, Video Games, Computer Software
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Jakab, Imrich; Ševcík, Michal; Grežo, Henrich – Electronic Journal of e-Learning, 2017
The methods of geospatial data processing are being continually innovated, and universities that are focused on educating experts in Environmental Science should reflect this reality with an elaborate and purpose-built modernization of the education process, education content, as well as learning conditions. Geographic Information Systems (GIS)…
Descriptors: Models, Higher Education, Geographic Information Systems, Environmental Education
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Corbi, Alberto; Burgos, Daniel – Electronic Journal of e-Learning, 2017
This paper presents how virtual containers enhance the implementation of STEAM (science, technology, engineering, arts, and math) subjects as Open Educational Resources (OER). The publication initially summarizes the limitations of delivering open rich learning contents and corresponding assignments to students in college level STEAM areas. The…
Descriptors: STEM Education, Art Education, Resource Units, Computer Uses in Education
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