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Showing 1 to 15 of 107 results Save | Export
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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
Lauren Harter – ProQuest LLC, 2024
This study explores the development and implementation of a five-day curriculum designed to enhance students' understanding of algebraic concepts through the integration of educational robotics and growth mindset principles. The study is structured around three research questions that investigate influences on decision-making in curriculum design,…
Descriptors: Mathematics Curriculum, Curriculum Design, Educational Technology, Robotics
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Durall Gazulla, Eva; Martins, Ludmila; Fernández-Ferrer, Maite – Education and Information Technologies, 2023
Collaborative design approaches have been increasingly adopted in the design of learning technologies since they contribute to develop pedagogically inclusive and appropriate learning designs. Despite the positive reception of collaborative design strategies in technology-enhanced learning, little attention has been dedicated to analyzing the…
Descriptors: Instructional Design, Cooperation, Educational Technology, Artificial Intelligence
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Oihane Unciti; Ramon Palau – Journal of Technology and Science Education, 2023
Teaching is a complex activity that requires a combination of different knowledges, attitudes, skills and values. Teachers are continuously making decisions in the classroom to promote the teaching-learning process. This paper presents the development of a prototype that aims to facilitate teachers' decision making in the classroom in real time,…
Descriptors: Decision Making, Design, Educational Technology, Foreign Countries
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Flávio Marques; Leonardo Lignani; João Quadros; Myrna Amorim; Windson Viana; Eduardo Ogasawara; Joel dos Santos – Technology, Knowledge and Learning, 2025
Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…
Descriptors: Design, Educational Games, Reinforcement, Game Based Learning
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Erin Anderson; Brendan Calandra – International Journal of Designs for Learning, 2025
Mixed-reality simulations (MRS) are utilized in teacher preparation programs worldwide. While much of the literature concentrates on the effectiveness of interventions designed to train teachers, this design case outlines the various decisions involved in developing the intervention, including the selection of mixed-reality technology, employing…
Descriptors: Design, Computer Simulation, Educational Technology, Decision Making
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Dexter, Sara – Educational Technology Research and Development, 2023
Future success for online teaching can be described in terms of competencies, the knowledge, skills, and affect and motivation that as component parts undergird successful performance, or in terms of competence, the behaviors that demonstrate ability to perform in an online setting. Either framing could aid higher education to consider how to…
Descriptors: College Faculty, Teacher Competencies, Technological Literacy, Pedagogical Content Knowledge
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Alina Hase; Poldi Kuhl – Educational Technology Research and Development, 2024
Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…
Descriptors: Instructional Design, Technology Uses in Education, Journal Articles, Decision Making
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Yi Jin – International Journal of Designs for Learning, 2021
This design case shows a course designed for teaching preservice teachers about how to design literacy-infused STEAM learning experiences that involve both making and the use of educational technology at a large Midwestern land-grant university in the U.S. This course emphasizes the high-tech making activities in PK-12 formal education that offers…
Descriptors: Preservice Teacher Education, STEM Education, Art Education, Design
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Lockee, Barbara B.; Bond, M. Aaron; McGowin, Brooke Marton; Blevins, Samantha J. – Distance Education, 2022
Factors that drive delivery mode decisions are multifaceted and often necessarily go beyond instructional design needs. Additional influencing factors include logistical, technical, and policy considerations. The COVID-19 pandemic illuminated the many opportunities and challenges that accompany the chosen distance delivery mode, prompting the need…
Descriptors: Distance Education, Delivery Systems, COVID-19, Pandemics
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Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
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Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
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Ma, Boxuan; Lu, Min; Taniguchi, Yuta; Konomi, Shin'ichi – Smart Learning Environments, 2021
Recommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. However, although many studies on the course recommendation…
Descriptors: College Students, Course Selection (Students), Decision Making, Student Attitudes
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Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
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Hassanpour, Badiossadat; Sahin, Nil Pasaoglulari – Technology, Pedagogy and Education, 2021
Technology in architectural education is usually discussed as a 'method', optimising course systems and determining instructional materials, while as a 'tool' it is discussed as a medium within students' design decision-making processes. This article explores the development of technology use in a teaching context, encompassing relationships…
Descriptors: Technology Integration, Architectural Education, Design, Decision Making
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