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Insung Jung – Open Praxis, 2024
This paper charts a forward-looking roadmap for open universities, drawing upon their historical evolution and current practices. It advocates a shift toward a universally accessible, personalized education system. At the heart of this proposed advancement lies the customization of learning paths and experiences, where individualized advising and…
Descriptors: Open Universities, Individualized Instruction, Access to Education, Artificial Intelligence
Jaclyn Ocumpaugh; Rod D. Roscoe; Ryan S. Baker; Stephen Hutt; Stephen J. Aguilar – International Journal of Artificial Intelligence in Education, 2024
The artificial intelligence in education (AIED) community has produced technologies that are widely used to support learning, teaching, assessment, and administration. This work has successfully enhanced test scores, course grades, skill acquisition, comprehension, engagement, and related outcomes. However, the prevailing approach to adaptive and…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Individualized Instruction
Emmanuel Dumbuya – Online Submission, 2025
The exponential growth of online learning has catalyzed significant pedagogical innovations and transformed the educational landscape. This paper explores the emerging trends in online learning, including the shift towards blended learning, the rise of personalized learning, and the integration of technology-enhanced pedagogical practices. The…
Descriptors: Educational Trends, Electronic Learning, Educational Innovation, Teaching Methods
Mengqian Wang; Wenge Guo – ECNU Review of Education, 2025
This review compares generative artificial intelligence with five representative educational technologies in history and concludes that AI technology can become a knowledge producer and thus can be utilized as educative AI to enhance teaching and learning outcomes. From a historical perspective, each technological breakthrough has affected…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, History
Jian-Jun Chen-Edmund; Marc Harroo; Dylan Reed-Fuglestad – Music Educators Journal, 2024
Online learning has become one of the most important new trends in the past few years, and there is increasing demand for music teachers to adapt. Current research regarding online music-learning (OML) environments reveals accessibility issues, lack of engagement, and limited social interaction. In this article, accessibility refers to the ease…
Descriptors: Online Courses, Music Education, Access to Education, Learner Engagement
Jessie S. Barrot – Technology, Knowledge and Learning, 2024
This emerging technology report delves into the role of ChatGPT, an OpenAI conversational AI, in language learning. The initial section introduces ChatGPT's nature and highlights its features, including accessibility, personalization, immersive learning, and instant feedback, which render it a valuable asset for language learners and educators…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Language Acquisition
Emmanuel Dumbuya – Online Submission, 2025
The integration of artificial intelligence (AI) into educational ecosystems represents a paradigm shift in pedagogical practices and educational governance. While AI offers unprecedented opportunities to personalize learning, optimize administrative processes, and provide intelligent tutoring, it poses significant challenges to maintaining human…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Technology Integration
McKoy, Stefanie; Merry, Krystle E. – Gifted Child Today, 2023
With the growth of online, virtual, and blended learning, there has been an increase in the demand for access to differentiated, quality online resources that are both student- and teacher-friendly for advanced or gifted and talented learners. The included resources have one or more combinations of exploratory, meaningful, and relevant content,…
Descriptors: Online Courses, Educational Technology, Individualized Instruction, Student Needs
Elizabeth B. Harkey; Angela T. Barlow; Victoria Groves-Scott – Mathematics Teacher: Learning and Teaching PK-12, 2023
Many teachers reported improved skills in using technology as a direct result of teaching virtually during the pandemic (Bushweller, 2020). The authors wondered which uses of technology would continue as teachers transitioned back into face-to-face classrooms. Recognizing that mere incorporation of technology into instruction does not guarantee…
Descriptors: Educational Technology, Mathematics Instruction, Technology Uses in Education, Models
Louhab, Fatima Ezzahraa; Bahnasse, Ayoub; Bensalah, Faycal; Khiat, Azeddine; Khiat, Yousaf; Talea, Mohamed – Education and Information Technologies, 2020
Today with the technology development, the learning activity takes some different methods and approaches. Among these approaches, we can talk about virtual learning using the learning management systems and the flipped classroom concept. Moodle platform represents one of these systems. The limitation of this Platform is the lack of an integrated…
Descriptors: Blended Learning, Integrated Learning Systems, Online Courses, Individualized Instruction
Rice, Mary Frances; Cun, Aijuan – British Journal of Educational Technology, 2021
Children learn literacies as social practices in context. Increasingly, these contexts include technological tools. Moreover, children engage with psychosocial identity tasks that involve more than cognitive growth. With the rapid rise in digital personalisation, there is a need to consider ways to ensure that digital technologies attend to…
Descriptors: Individualized Instruction, Instructional Materials, Educational Technology, Electronic Learning
El-Attar, Noha Ezzat; El-Ela, Niveen Abo; Awad, Wael A. – International Journal of Web-Based Learning and Teaching Technologies, 2019
Improving the performance of e-learning services to provide a scalable and effective e-learning system is a big challenge for the educational organizations. The e-learning system faces many challenges in pedagogical services (e.g. learning design and learning content problems), and technical services (e.g. resource provisioning and financial…
Descriptors: Electronic Learning, Individualized Instruction, Virtual Classrooms, Computer System Design
Panayiota Kendeou; Ellen Orcutt; Tracy Arner; Tong Li; Renu Balyan; Reese Butterfuss; Micah Watanabe; Danielle McNamara – Grantee Submission, 2022
In this paper, we present iSTART-Early, an intelligent tutoring system that provides automated instruction and practice on higher-order reading comprehension strategies to 3rd and 4th grade students. iSTART-Early provides personalized, interactive, game-based strategy instruction and practice on comprehension strategies (i.e., Ask It, Reword It,…
Descriptors: Intelligent Tutoring Systems, Reading Instruction, Reading Comprehension, Reading Strategies
Cavanagh, Thomas; Chen, Baiyun; Lahcen, Rachid Ait Maalem; Paradiso, James R. – International Review of Research in Open and Distributed Learning, 2020
While adaptive learning is emerging as a promising technology to promote access and quality at a large scale in higher education (Becker et al., 2018), the implementation of adaptive learning in teaching and learning is still sporadic, and it is unclear how to best design and teach an adaptive learning course in a higher education context. As…
Descriptors: Instructional Design, College Instruction, Individualized Instruction, Educational Technology
Early Learning Network - University of Nebraska-Lincoln, 2023
The Optimizing Learning Opportunities for Students (OLOS) Observation System was developed by the Early Learning Network's assessment team at the University of California, Irvine. OLOS is a user-friendly, web-based tool designed to help teachers understand what is happening in their classrooms and uncover ways to meet the unique learning needs of…
Descriptors: Outcomes of Education, Individualized Instruction, Universities, Student Needs