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Hiroaki Ogata; Changhao Liang; Yuko Toyokawa; Chia-Yu Hsu; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar – Technology, Knowledge and Learning, 2024
This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…
Descriptors: Educational Technology, Instructional Design, Cooperation, Data Use
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Jasmin Breitwieser; Andreas B. Neubauer; Florian Schmiedek; Garvin Brod – npj Science of Learning, 2024
Mobile devices are ubiquitous, but their potential for adaptive educational interventions remains largely untapped. We identify three key promises of mobile interventions for educational research and practice: 1) intervening when it is most beneficial (i.e., "just-in-time adaptivity"), 2) estimating causal effects of interventions in…
Descriptors: Students, Handheld Devices, Computer Assisted Instruction, Educational Technology
Barpi, Fabrizio; Dalmazzo, Davide; De Blasio, Antonella; Vinci, Fiorella – Education Sciences, 2021
The paper presents a report that discusses the experience of participation of the authors in the EduHack, an online course designed to train university teachers in the use of digital techniques and learning strategies. This study highlights two issues of great interest in pandemic times. The first one is the structure and the organization of the…
Descriptors: Foreign Countries, College Faculty, Faculty Development, Training
Roman, Tiffany A.; Callison, Matthew; Myers, Rodney D.; Berry, Anne H. – TechTrends: Linking Research and Practice to Improve Learning, 2020
Authentic learning in online education is feasible with intentional instructional strategies and appropriate educational technologies, yet as a learning approach, barriers to implementation still exist. We argue that authentic learning in online education can be successfully supported when the characteristics of authentic learning are (a)…
Descriptors: Authentic Learning, Distance Education, Evidence Based Practice, Peer Evaluation
Hu, Zhirong; Yang, Qiujing – Universal Journal of Educational Research, 2018
Autonomous learning ability is the ability of students to learn voluntarily. The book "The Learning Revolution" points out that one of the goals of education in the 21st century is to require students to understand learning strategies and learning methods and to put them into study practice. However, now the situation is that quite a…
Descriptors: Personal Autonomy, Learning Strategies, Vocational Education, Higher Education
Samsudin, Mat Redhuan; Guan, Tan Tse; Yusof, Anuar Mohd; Yaacob, Mohd Firdaus Che – International Journal of Technology in Education and Science, 2017
Technology in education has been changed the culture of teaching and learning strategies. Teaching and learning theory is the primary basis for reference in carrying out teaching and learning activities. Learning using mobile apps is still new and has not been recognized by the education ministry as an effective learning aid. However, there are…
Descriptors: Computer Oriented Programs, Handheld Devices, Assistive Technology, Educational Technology
Santos, Maria Isabel; Breda, Ana; Almeida, Ana Margarida – Educational Technology Research and Development, 2017
Learning environment on mathematics for autistic children is a prototype of a digital environment with dynamic adaptation features designed to offer activities towards the development of mathematical reasoning in children aged 6-12 years, diagnosed with autism spectrum disorders (ASD), a neurodevelopmental disorder characterized by deficits in…
Descriptors: Autism, Pervasive Developmental Disorders, Mathematics Instruction, Learning Activities
Aparicio, Manuela; Bacao, Fernando; Oliveira, Tiago – Educational Technology & Society, 2016
E-learning systems have witnessed a usage and research increase in the past decade. This article presents the e-learning concepts ecosystem. It summarizes the various scopes on e-learning studies. Here we propose an e-learning theoretical framework. This theory framework is based upon three principal dimensions: users, technology, and services…
Descriptors: Electronic Learning, Ecology, Computer Uses in Education, Educational Trends
Squire, Kurt – Independent School, 2015
Games for learning are poised to enter mainstream education. Several factors driving this movement are the following: (1) Digital distribution through cloud computing services and ubiquitous connectivity which will make digital learning tools--such as games--affordable and easily accessible; (2) The proliferation of digital devices; (3) Digital…
Descriptors: Educational Games, Educational Technology, Technology Uses in Education, Electronic Learning
Developing a School Culture of Meaningful Feedback Deepens Everyone's Learning. Field Facing Memo #3
Jaquith, Ann; Stosich, Elizabeth Leisy – Stanford Center for Opportunity Policy in Education, 2019
This memo, which is the third in the series, highlights the work of Summit View Elementary School in Tucson, Arizona and its use of ideas and practices from a blended online course, Student Agency in Assessment and Learning (SAAL) developed by researchers at WestEd, also an ALP grantee. This memo describes how the school's participation in the…
Descriptors: Elementary Schools, Online Courses, Blended Learning, Educational Technology
Xu, Xinhao; Ke, Fengfeng – Educational Technology Research and Development, 2014
As information and communication technology continues to evolve, body sensory technologies, like the Microsoft Kinect, provide learning designers new approaches to facilitating learning in an innovative way. With the advent of body sensory technology like the Kinect, it is important to use motor activities for learning in good and effective ways.…
Descriptors: Nonverbal Communication, Sensory Experience, Perceptual Motor Learning, Educational Technology
Linder-VanBerschot, Jennifer A.; Summers, Laura L. – Quarterly Review of Distance Education, 2015
As we strive to provide quality and sustainable online learning experiences, we must frame instructional design decisions around learners' current needs and interaction with technology. This article explores the implications of technology transience on instructional design. We provide numerous examples of programs assuming a purposeful approach to…
Descriptors: Instructional Design, Technological Advancement, Influence of Technology, Learning Experience
Roscoe, Rod D.; Segedy, James R.; Sulcer, Brian; Jeong, Hogyeong; Biswas, Gautam – Computers & Education, 2013
To support self-regulated learning (SRL), computer-based learning environments (CBLEs) are often designed to be open-ended and multidimensional. These systems incorporate diverse features that allow students to enact and reveal their SRL strategies via the choices they make. However, research shows that students' use of such features is limited;…
Descriptors: Computer Assisted Instruction, Middle School Students, Pretests Posttests, Outcomes of Education
Restrepo Ramos, Falcon Dario – PROFILE: Issues in Teachers' Professional Development, 2015
This literature review aims to analyze previous studies that address the incidental learning of vocabulary in second language acquisition. The articles included in this literature review look into the understanding of vocabulary learning through incidental means, the relationship of reading and incidental vocabulary learning, and the strategies…
Descriptors: Vocabulary Development, Second Language Learning, Phrase Structure, Incidental Learning