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Direct linkMonsalve-Pulido, Julian; Aguilar, Jose; Montoya, Edwin – Education and Information Technologies, 2023
The adaptation of traditional systems to service-oriented architectures is very frequent, due to the increase in technologies for this type of architecture. This has led to the construction of frameworks or methodologies for adapting computational projects to service-oriented architecture (SOA) technology. In this work, a framework for adaptation…
Descriptors: Artificial Intelligence, Information Technology, Design, Governance
Matthews, Benjamin; Shannon, Barrie; Roxburgh, Mark – International Journal of Art & Design Education, 2023
Digital automation is on the rise in a diverse range of industries. The technologies employed here often make use of artificial intelligence (AI) and its common form, machine learning (ML) to augment or replace the work completed by human agents. The recent emergence of a variety of design automation platforms inspired the authors to undertake a…
Descriptors: Artificial Intelligence, Automation, Design, Electronic Learning
Xueyu Sun; Ting Wang – International Journal of Information and Communication Technology Education, 2024
This study innovates English network teaching by applying a refined Association Rule Mining (ARM) algorithm. It integrates an "interest" parameter into ARM, dynamically adapting content to individual learners' profiles, improving engagement and outcomes. Controlled experiments, spanning diverse online platforms, validate the ARM model's…
Descriptors: Models, Design, Algorithms, Individualized Instruction
Liu, Chunhong; Zhang, Haoyang; Zhang, Jieyu; Zhang, Zhengling; Yuan, Peiyan – International Journal of Information and Communication Technology Education, 2023
Current learning platforms generally have problems such as fragmented knowledge, redundant information, and chaotic learning routes, which cannot meet learners' autonomous learning requirements. This paper designs a learning path recommendation system based on knowledge graphs by using the characteristics of knowledge graphs to structurally…
Descriptors: Educational Technology, Artificial Intelligence, Electronic Learning, Concept Mapping
Colin Madland; Valerie Irvine; Chris DeLuca; Okan Bulut – OTESSA Journal, 2024
The purpose of this paper is to describe the development of a new framework for understanding technology-integrated assessment in higher education based on a review of the literature using the assessment design in a digital world framework (Bearman et al., 2022) as a lens. Our review (Madland et al., 2024) revealed both congruities and…
Descriptors: Technology Uses in Education, Technology Integration, Educational Technology, Evaluation Methods
Zhi Liu; Huimin Duan; Shiqi Liu; Rui Mu; Sannyuya Liu; Zongkai Yang – Educational Technology & Society, 2024
Conversational agents (CAs) primarily adopt knowledge scaffolding (KS) or emotional scaffolding (ES) to intervene in learners' knowledge gain and emotional experience in online learning. However, the ill-defined design for KS and ES, as well as insufficient understanding of their interactive effects on learning outcomes, have hindered the…
Descriptors: Electronic Learning, Achievement Gains, Knowledge Level, Emotional Experience
Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
Du, Jiahui; Hew, Khe Foon Timothy – Journal of Research on Technology in Education, 2022
Self-regulated learning (SRL) plays a significant role in promoting academic success in online education. In recent years, attention has focused on using new techniques to promote SRL--one of which is the recommender system. However, there has been little discussion of the actual effects of using recommender systems to facilitate SRL skills among…
Descriptors: Independent Study, Electronic Learning, Artificial Intelligence, Information Technology
Georg Winder; Steve Bass; Dustin Schiele; Josef Buchner – International Journal on E-Learning, 2024
The rising demand for high-quality, timely content for online and blended learning environments presents significant challenges for instructional designers, particularly in managing resource-intensive tasks such as video production and image sourcing. This study investigates the impact of using artificial intelligence (AI), specifically large…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Educational Objectives
Tlili, Ahmed; Huang, Ronghuai; Shehata, Boulus; Liu, Dejian; Zhao, Jialu; Metwally, Ahmed Hosny Saleh; Wang, Huanhuan; Denden, Mouna; Bozkurt, Aras; Lee, Lik-Hang; Beyoglu, Dogus; Altinay, Fahriye; Sharma, Ramesh C.; Altinay, Zehra; Li, Zhisheng; Liu, Jiahao; Ahmad, Faizan; Hu, Ying; Salha, Soheil; Abed, Mourad; Burgos, Daniel – Smart Learning Environments, 2022
The Metaverse has been the centre of attraction for educationists for quite some time. This field got renewed interest with the announcement of social media giant Facebook as it rebranding and positioning it as Meta. While several studies conducted literature reviews to summarize the findings related to the Metaverse in general, no study to the…
Descriptors: Computer Simulation, Technology Uses in Education, Artificial Intelligence, Educational Benefits
Zhang, Xiangling; Tlili, Ahmed; Shubeck, Keith; Hu, Xiangen; Huang, Ronghuai; Zhu, Lixin – Smart Learning Environments, 2021
With the rapid development of information technology, e-books have become convenient for students to improve their learning performance, especially when learning complicated concepts. However, research showed that acceptance of e-books by teachers is fragmented, due to several factors including the e-book design. Therefore, this study combined the…
Descriptors: Open Educational Resources, Electronic Learning, Electronic Publishing, Books
Download full textTamayo, Pedro Antonio; Herrero, Ana; Martín, Javier; Navarro, Carolina; Tránchez, José Manuel – Open Praxis, 2020
Within the process of progressive digitization of materials and tools for teaching and distance learning of a subject of introduction to Microeconomics (quarterly, in year three of the Degree in Social Work), taught by the authors at the National University of Distance Education (UNED), a virtual assistant in the form of "chatbot," or…
Descriptors: Design, Computer Mediated Communication, Educational Technology, Distance Education
Holmes, Mike; Latham, Annabel; Crockett, Keeley; O'Shea, James D. – IEEE Transactions on Learning Technologies, 2018
Comprehension is an important cognitive state for learning. Human tutors recognize comprehension and non-comprehension states by interpreting learner non-verbal behavior (NVB). Experienced tutors adapt pedagogy, materials, and instruction to provide additional learning scaffold in the context of perceived learner comprehension. Near real-time…
Descriptors: Comprehension, Classification, Artificial Intelligence, Networks
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
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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