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Showing 1 to 15 of 61 results Save | Export
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Vaiopoulou, Julie; Papadakis, Stamatios; Sifaki, Eirini; Kalogiannakis, Michail; Stamovlasis, Dimitrios – Education and Information Technologies, 2023
This study explored certain popular educational apps' vital characteristics and potential profiles (n1 = 50) for kindergarten kids. The profile analysis involved a categorization ascended from an evaluation process conducted by pre-service early childhood teachers' (n2 = 295) at the University of Crete, Greece, using a new instrument, validated in…
Descriptors: Foreign Countries, Young Children, Kindergarten, Educational Technology
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
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Motejlek, Jiri; Alpay, Esat – IEEE Transactions on Learning Technologies, 2021
This article presents and analyzes existing taxonomies of virtual and augmented reality and demonstrates knowledge gaps and mixed terminology, which may cause confusion among educators, researchers, and developers. Several such occasions of confusion are presented. A methodology is then presented to construct a taxonomy of virtual reality and…
Descriptors: Taxonomy, Teaching Methods, Artificial Intelligence, Educational Objectives
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Valaski, Joselaine; Reinehr, Sheila; Malucelli, Andreia – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this research was to evaluate whether ontology integrated in an organizational learning environment may support the automatic learning material classification in a specific knowledge area. Design/methodology/approach: An ontology for recommending learning material was integrated in the organizational learning environment…
Descriptors: Classification, Instructional Materials, Automation, Taxonomy
Steven Moore; John Stamper; Norman Bier; Mary Jean Blink – Grantee Submission, 2020
In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…
Descriptors: Learning Analytics, Educational Improvement, Classification, Learning Processes
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Badem, Nihat Yigitcan; Akbulut, Fatma Demiray – Education Reform Journal, 2019
Since the 1960s-1970s, the implementation of Computer-Assisted Language Learning concept has contributed to the progress made on Foreign Language Learning (FLL) in numerous ways. It has enabled the teachers and language learners to enrich the language learning process with improved interactivity with certain learning materials and gave rise to…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, English (Second Language)
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Shroff, Ronnie Homi; Ting, Fridolin Sze Thou; Lam, Wai Hung – Australasian Journal of Educational Technology, 2019
This article reports on the design, development, and validation of a new instrument, the Technology-Enabled Active Learning Inventory (TEAL), to measure students' perceptions of active learning in a technology-enabled learning context. By laying the theoretical foundation, a conceptual framework for technology-enabled active learning was…
Descriptors: Student Attitudes, Active Learning, Validity, Measures (Individuals)
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Troussas, Christos; Espinosa, Kurt Junshean; Virvou, Maria – Informatics in Education, 2016
Social networks are progressively being considered as an intense thought for learning. Particularly in the research area of Intelligent Tutoring Systems, they can create intuitive, versatile and customized e-learning systems which can advance the learning process by revealing the capacities and shortcomings of every learner and by customizing the…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Computer Software
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Cherner, Todd; Dix , Judy; Lee, Corey – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2014
As tablet technologies continue to evolve, the emergence of educational applications (apps) is impacting the work of teacher educators. Beyond online lists of best apps for education and recommendations from colleagues, teacher educators have few resources available to support their teaching of how to select educational apps. In response, this…
Descriptors: Handheld Devices, Educational Technology, Computer Oriented Programs, Teacher Educators
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Cotos, Elena; Pendar, Nick – CALICO Journal, 2016
This paper reports on the development of an analysis engine for the Research Writing Tutor (RWT), an AWE program designed to provide genre and discipline-specific feedback on the functional units of research article discourse. Unlike traditional NLP-based applications that categorize complete documents, the analyzer categorizes every sentence in…
Descriptors: Discourse Analysis, Classification, Rhetoric, Writing Evaluation
Twu, Ming-Lii – ProQuest LLC, 2017
The purpose of this mixed methods study was to employ the International Society for Technology in Education (ISTE) Standards for Students as taxonomy to classify educational mobile application (app) software into seven categories and empirically examine the influence on students' technology literacy. A purposeful sample of fifth grade core subject…
Descriptors: Educational Technology, Handheld Devices, Technological Literacy, Influence of Technology
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White, David C. – International Journal of Virtual and Personal Learning Environments, 2013
This paper discusses, in the context of personal learning environments, the need for Personal Knowledge Integrators--PKI's or Knowers. It first illustrates and establishes the need for Knowers with usage scenarios and people's requirements. It then describes the elements required to make a Knower which can exchange information with other Knowers,…
Descriptors: Integrated Learning Systems, Computer Software, Design, Educational Technology
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Aleksic-Hajdukovic, Irena; Sinadinovic, Danka; Mijomanovic, Stevan – Research-publishing.net, 2019
This research aims to explore how English for Specific Purposes (ESP) teachers and practitioners utilise new technologies, e.g. Massive Open Online Courses (MOOCs), webinars, online platforms, etc. as a means of self-scaffolding in order to exceed their threshold in pedagogical, linguistic, and discoursal competencies in various ESP domains. The…
Descriptors: English for Special Purposes, Second Language Learning, Second Language Instruction, Language Teachers
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Lama, Manuel; Vidal, Juan C.; Otero-Garcia, Estefania; Bugarin, Alberto; Barro, Senen – Educational Technology & Society, 2012
Large-sized repositories of learning objects (LOs) are difficult to create and also to maintain. In this paper we propose a way to reduce this drawback by improving the classification mechanisms of the LO repositories. Specifically, we present a solution to automate the LO classification of the Universia repository, a collection of more than 15…
Descriptors: Foreign Countries, Electronic Libraries, Metadata, Programming
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Lavoue, Elise; George, Sebastien; Prevot, Patrick – Behaviour & Information Technology, 2012
In this article, we present a co-adaptive design approach named TE-Cap (Tutoring Experience Capitalisation) that we applied for the development of an assistance environment for tutors. Since tasks assigned to tutors in educational contexts are not well defined, we are developing an environment which responds to needs which are not precisely…
Descriptors: Foreign Countries, Tutors, Tutoring, College Faculty
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