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Showing 1 to 15 of 32 results Save | Export
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Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
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Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
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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Li, Kam Cheong; Wong, Billy Tak-Ming – Australasian Journal of Educational Technology, 2021
This article presents a review of the literature on smart learning in order to provide a comprehensive overview of its latest developments in research and practice. The review covered 90 studies published from 2010 to 2019, which were collected from three publication databases, namely Web of Science, Scopus and ProQuest. They were analysed for the…
Descriptors: Educational Technology, Teaching Methods, Learning Processes, Databases
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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Beirne, Elaine; Mhichíl, Mairéad Nic Giolla; Cleircín, Gearóid Ó – Research-publishing.net, 2017
Many of the major Massive Open Online Course (MOOC) platforms support learning approaches which can be roughly categorised as transmission-based and asynchronous (Morris & Lambe, 2014), with limited forms of interactive elements. Language learning is viewed within this study as an active process which includes knowledge, skills, and cultural…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Wright, Mary C. – Johns Hopkins University Press, 2023
Centers for Teaching and Learning (CTLs) are important change agents on campus with strategies that are unique and impactful--but sometimes unarticulated or misaligned. In this wide-ranging book, Mary C. Wright maps the landscape of 1,200+ CTLs in the United States through a unique approach: by conducting complex web searches to identify and…
Descriptors: Change Agents, Educational Strategies, Online Searching, Classification
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Jagušt, T.; Boticki, I.; So, H. -J. – Journal of Computer Assisted Learning, 2018
This study reviews empirical research articles published in the field of technology-enhanced learning in the out-of-class contexts in primary schools between the years 2007 and 2016 and explores how the body of research has connected formal and informal learning experiences, referred to in the paper as bridging the gap. The review focuses on 43…
Descriptors: Elementary School Students, Informal Education, Student Interests, Student Motivation
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Vartiainen, Henriikka; Leinonen, Teemu; Nissinen, Saara – Educational Media International, 2019
Connected learning is claimed to support children to connect their formal learning with wider social network and media tools in an interest-driven and inquiry-oriented manner. In a formal context there are few successful implementations of connected learning. This study explores how a kindergarten community of 8 adults and 42 children, equipped…
Descriptors: Kindergarten, Social Networks, Social Media, Sociocultural Patterns
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Perez-Mateo, M.; Guitert, M. – Computers & Education, 2012
Learning is a social process. That is why it is extremely important to understand how students interact socially in online courses and how it affects the learning process. However, social aspects, understood as those expressions or comments that go beyond strictly academic interaction, i.e. the need to carry out group work, are not clearly…
Descriptors: Electronic Learning, Qualitative Research, Distance Education, Online Courses
Kolas, Line; Munkvold, Robin; Nordseth, Hugo – International Association for Development of the Information Society, 2012
The goal of the paper is to present possible use of EPE videos in different phases of a learning and teaching process. The paper is based on an evaluation of EPE (easy production educational) videos. The evaluation framework used in this study, divides the teaching and learning process into four main phases: 1) The preparation phase, 2) The…
Descriptors: Foreign Countries, Video Technology, Learning Processes, Educational Technology
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McLeod, Julie; Lin, Lin – Computers & Education, 2010
This paper is the first of its series that studies the power children have in game-play and examines its implications for teaching and learning. As a start, the paper describes a framework of power based on a synthesis of various types of power underlined in literature. The paper then looks into the power issue through observation and interviews…
Descriptors: Play, Games, Classification, Children
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Ludvigsen, Sten R. – Learning, Media and Technology, 2012
In this article, I develop a perspective on learning as multilayered phenomena. I take a socio-genetic approach in order to understand human activity and to show how categories are a fundamental part of learning in a specific type of institutional practice. In the empirical section, student dialogue is analysed in relation to a set of categories…
Descriptors: Foreign Countries, Secondary School Students, Science Education, Inquiry
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
Garcia Laborda, Jesus – Online Submission, 2011
Teaching materials in languages for specific purposes have evolved in the last few years dramatically. The Internet currently plays a significant role in such development and has permitted both a wider range of resources and its free availability almost anywhere in the World. This paper presents a selection of different types of recent materials…
Descriptors: Internet, English for Special Purposes, Instructional Materials, Second Language Learning
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