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Charlotte N. Gunawardena; Yan Chen; Nick Flor; Damien Sánchez – Online Learning, 2023
Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…
Descriptors: Models, Learning Processes, Knowledge Level, Online Courses
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Crowe, Dale; LaPierre, Martin; Kebritchi, Mansureh – TechTrends: Linking Research and Practice to Improve Learning, 2017
With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era.…
Descriptors: Artificial Intelligence, Information Technology, Distance Education, Instructional Design
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Wang, Lisa; Sy, Angela; Liu, Larry; Piech, Chris – International Educational Data Mining Society, 2017
Modeling student knowledge while students are acquiring new concepts is a crucial stepping stone towards providing personalized automated feedback at scale. We believe that rich information about a student's learning is captured within her responses to open-ended problems with unbounded solution spaces, such as programming exercises. In addition,…
Descriptors: Online Courses, Knowledge Level, Pedagogical Content Knowledge, Scaffolding (Teaching Technique)
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Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems
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Bastiaens, Theo J., Ed. – Association for the Advancement of Computing in Education, 2021
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place online July…
Descriptors: Educational Media, Conferences (Gatherings), Electronic Learning, Distance Education
Joosten, Tanya; Lee-McCarthy, Kate; Harness, Lindsey; Paulus, Ryan – Online Learning Consortium, 2020
Underrepresented students enrolled in postsecondary educational institutions in the U.S. are faced with key barriers and challenges that have created an equity gap. By considering the needs of underrepresented students, faculty and institutions are able to implement digital course ware solutions to take a step towards closing the equity gap and…
Descriptors: Electronic Learning, Educational Innovation, Educational Trends, Technology Uses in Education
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Ouherrou, Nihal; Elhammoumi, Oussama; Benmarrakchi, Fatimaezzahra; El Kafi, Jamal – Education and Information Technologies, 2019
Children with Learning Disabilities (LDs) show some emotional difficulties and behavioral problems in classroom compared with their peers without LDs. Emotions constitute an important part of the learning process. Recent evidence suggests that the use of Information and Communication Technology (ICT) in special education permits to remove barriers…
Descriptors: Children, Learning Disabilities, Emotional Response, Nonverbal Communication
Francesca Gottschalk; Crystal Weise – OECD Publishing, 2023
Digital technologies can be used to support the inclusion of diverse student groups in education in a number of ways including enhancing accessibility of educational content, increasing personalisation and providing distance learning opportunities, as was the case during the COVID-19 pandemic. However, persistent digital inequalities can undermine…
Descriptors: Access to Computers, Educational Technology, Inclusion, Equal Education
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Mack Shelley, Editor; Valarie Akerson, Editor; Mevlut Unal, Editor – International Society for Technology, Education, and Science, 2023
"Proceedings of International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES), which took place on October 19-22, 2023, in Las Vegas, Nevada. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and…
Descriptors: Conference Papers, Social Sciences, Educational Research, Education
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McManus, Margaret M.; Aiken, Robert M. – International Journal of Artificial Intelligence in Education, 2016
Our original research, to design and develop an Intelligent Collaborative Learning System (ICLS), yielded the creation of a Group Leader Tutor software system which utilizes a Collaborative Skills Network to monitor students working collaboratively in a networked environment. The Collaborative Skills Network was a conceptualization of…
Descriptors: Cooperative Learning, Artificial Intelligence, Intelligent Tutoring Systems, Sentences
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Utecht, Jeff; Keller, Doreen – Critical Questions in Education, 2019
This paper will examine the eight principles of Connectivism Learning Theory and provide examples of how institutions of learning--K-12 and higher education--may think about applying them. Engaging in such work will allow institutions to take advantage of technological platforms as they exist today and into the future. While the Internet has…
Descriptors: Learning Theories, Elementary Schools, Secondary Schools, Critical Thinking
AlDahdouh, Alaa A. – Online Submission, 2017
Connectivism was presented as a learning theory for the digital age and connectivists claim that recent developments in Artificial Intelligence (AI) and, more specifically, Artificial Neural Network (ANN) support their assumptions of knowledge connectivity. Yet, very little has been done to investigate this brave allegation. Does the advancement…
Descriptors: Learning Theories, Social Networks, Artificial Intelligence, Qualitative Research
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Rasheed, Fareeha; Wahid, Abdul – International Journal of Information and Learning Technology, 2019
Purpose: The purpose of this paper is to identify the different sequence generation techniques for learning, which are applied to a broad category of personalized learning experiences. The papers have been classified using different attributes, such as the techniques used for sequence generation, attributes used for sequence generation; whether…
Descriptors: Sequential Approach, Electronic Learning, Futures (of Society), Student Characteristics
Online Learning Consortium, 2022
The purpose of this report is to explore global trends, emerging research, innovative models, and expert insights regarding the future of learning by detailing the present context of a rapidly changing and hyper-connected world. Our innovation framework for describing the future of digital learning, which emerged during the research process,…
Descriptors: Foreign Countries, Educational Technology, Online Courses, Electronic Learning
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Berrada, Khalid, Ed.; Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2022
This book presents an overview on ten years of rich experience and innovative development of scientific research around pedagogy, didactics and educative technologies at Cadi Ayyad University. From active learning in traditional teaching to technology enhanced learning, many efforts have been done so far by both researchers and PhD students making…
Descriptors: Foreign Countries, Educational Technology, Universities, Technology Uses in Education
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