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Showing 1 to 15 of 52 results Save | Export
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Letty Rising – Montessori Life: A Publication of the American Montessori Society, 2024
In the ever-evolving landscape of education, you have most likely experienced a significant expansion in your teaching responsibilities. Your role may have stretched to encompass being proficient in various technology platforms, nurturing the social and emotional learning of your students, and adjusting to amplified documentation requirements.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Schmidt, Matthew; Huang, Rui – TechTrends: Linking Research and Practice to Improve Learning, 2022
Increasing interest in user experience design (UXD) in the field of learning design and technology (LDT) signals a growing recognition of the importance of the individual experience of using learning technologies to learning--the learner experience (LX). However, a need exists to better define and conceptualize the phenomenon of learning…
Descriptors: Instructional Design, Educational Technology, Learning Experience, Student Educational Objectives
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Lay Kee Ch'ng – Asian Journal of Distance Education, 2023
Artificial Intelligence (AI) has revolutionized various aspects of human activities, profoundly impacting the landscape of higher education, particularly in the domain of teaching and learning. This paper aims to discuss the topic of instructional design from both a human and technological perspective. A comparison between current learning methods…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Man Machine Systems
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Lee McCallum – Journal for Multicultural Education, 2024
Purpose: This paper aims to present a lesson that showcases how artificial intelligence (AI) tools may be chiefly used in L2 language classrooms to design culture-focussed telecollaboration tasks and aid their completion by students. Design/methodology/approach: The paper begins by reviewing traditional approaches and guidance for developing…
Descriptors: Artificial Intelligence, Intercultural Communication, Second Language Learning, Telecommunications
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Crowston, Kevin; Østerlund, Carsten; Lee, Tae Kyoung; Jackson, Corey; Harandi, Mahboobeh; Allen, Sarah; Bahaadini, Sara; Coughlin, Scott; Katsaggelos, Aggelos K.; Larson, Shane L.; Rohani, Neda; Smith, Joshua R.; Trouille, Laura; Zevin, Michael – IEEE Transactions on Learning Technologies, 2020
We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning for training with tasks with uncertain outcomes is…
Descriptors: Citizen Participation, Scientific Research, Man Machine Systems, Training
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Rosé, Carolyn P.; McLaughlin, Elizabeth A.; Liu, Ran; Koedinger, Kenneth R. – British Journal of Educational Technology, 2019
Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…
Descriptors: Discovery Learning, Man Machine Systems, Artificial Intelligence, Models
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Haymes, Tom – Current Issues in Education, 2020
Productive "Third Spaces" are often an afterthought when designing learning environments, both in a physical sense and online. These areas, properly mediated by technology and designed around humans, can often be a key facilitator for student success. The STAC Model is designed to provide a framework for understanding what makes these…
Descriptors: Models, Informal Education, Instructional Design, Technology Uses in Education
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Aravind, Vasudeva Rao; McConnell, Marcella Kay – World Journal on Educational Technology: Current Issues, 2018
Educating our future citizens in science and engineering is vitally important to ensure future advancement. Presently, in the light of environmental sustainability, it is critical that students learn concepts relating to energy, its consumption and future demands. In this article, we harness the state of the educational technology, namely…
Descriptors: Intelligent Tutoring Systems, Science Instruction, Energy, Instructional Design
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Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
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Wang, Minjuan; Shen, Ruimin – British Journal of Educational Technology, 2012
The demands of an increasingly knowledge-based society and the dramatic advances in mobile phone technology are combining to spur the growth of mobile learning (mLearning). However, for mLearning to attain its full potential, it is essential to develop pedagogy and instructional design tailored to the needs of this new learning environment. At…
Descriptors: Electronic Learning, Learning Theories, Instructional Design, Guidelines
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Pettersson, Rune – Journal of Visual Literacy, 2014
Information design has practical and theoretical components. As an academic discipline we may view information design as a combined discipline, a practical theory, or as a theoretical practice. So far information design has incorporated facts, influences, methods, practices, principles, processes, strategies, and tools from a large number of…
Descriptors: Design, Information Services, Theories, Interdisciplinary Approach
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Creger, Don W.; Payne, Brent A. – Tech Directions, 2010
Advances in technology have yielded computer numerical control (CNC) machines and computer-aided manufacturing (CAM) software that saves time and increases productivity in today's industrial world. Training students to understand and use these technologies has become a key ingredient in preparing them for work in industry. Teachers of machining…
Descriptors: Manufacturing, Educational Technology, Programming, Man Machine Systems
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Page, Tom; Thorsteinsson, Gisli; Uden, Lorna; Lehtonen, Miika – Journal of Educational Technology, 2008
Novel and innovative modes of interacting with website information, which necessitate methods and tools for their evaluation have arisen. However, it is essential to develop such methods from contexts of use at a macro (i.e. cultural) and micro (individual use contexts) level. Activity theory has been used extensively in systems evaluation as it…
Descriptors: Evaluation Methods, Usability, Web Sites, Instructional Design
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Curilem, S. Gloria; Barbosa, Andrea R.; de Azevedo, Fernando M. – Computers & Education, 2007
This article proposes a mathematical model of Intelligent Tutoring Systems (ITS), based on observations of the behaviour of these systems. One of the most important problems of pedagogical software is to establish a common language between the knowledge areas involved in their development, basically pedagogical, computing and domain areas. A…
Descriptors: Student Characteristics, Mathematical Models, Intelligent Tutoring Systems, Computer Software
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Hirumi, Atsusi – Quarterly Review of Distance Education, 2002
Proposes a three-level framework for classifying elearning (electronic learning) interactions in distance education. Illustrates how the framework may be used to design and sequence electronic learning interactions, analyze planned interactions to reduce the need for costly revisions, and organize research to help interpret findings and guide…
Descriptors: Classification, Instructional Design, Interaction, Man Machine Systems
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