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William J. Fassbender – Learning, Media and Technology, 2025
Recent advancements in generative Artificial Intelligence (GenAI) were accompanied by both hype and fear regarding the ways in which such technologies of automation would replace human labor in various fields, including education. Rather than focusing on the replacement of humans in teaching, this piece uses new materialist thought [Barad, Karen.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Educational Change
Kate Powell – Montessori Life: A Publication of the American Montessori Society, 2024
In a span of about three days in the spring of 2023, the author's Instagram feed became inundated with mentions of artificial intelligence (AI), including Chat GPT, text-to-image models, and much more. She would turn on the radio and hear about the controversy surrounding AI, or look at her cousin's social media posts about the injustices of her…
Descriptors: Artificial Intelligence, Teaching Methods, Elementary School Teachers, Montessori Schools
Kristin Dutcher Mann – History Teacher, 2025
Historians sometimes view teaching and community engagement as peripheral to research. Self-reflection on the design of assignments, pedagogy techniques, and students' work aids teachers as they refine their teaching, and it can also inform research questions and methods. Teaching, research, and community engagement do not have to be separate…
Descriptors: Community Involvement, Authentic Learning, History Instruction, Teaching Methods
Jones, Joshua – Mathematics Teacher: Learning and Teaching PK-12, 2021
Aside from being culturally relevant, artificial intelligence is also supporting companies in making business decisions. Consequently, "workforce needs have shifted rapidly," resulting in a demand for applicants who are skilled in "data, analytics, machine learning, and artificial intelligence" (Miller and Hughes 2017). This…
Descriptors: Man Machine Systems, Artificial Intelligence, Educational Technology, Technology Uses in Education
Sarah Prestridge; Seng Chee Tan; Michele Jacobsen; H. Ulrich Hoppe; Charoula Angeli; Marcelo Milrad; Shesha Kanta Pangeni; Eugenia Kovatcheva; Ayoub Kafyulilo; Brendan Flanagan; Ferial Khaddage – Technology, Knowledge and Learning, 2024
This article originated from a working group on "Learning beyond formal schooling through human--computer--human interaction (HCHI)" convened at the UNESCO EDUSummIT 2023 in Kyoto (Japan). A polylogue approach was adopted by engaging eight co-authors whose diverse perspectives culminated in propositions that addressed the pivotal…
Descriptors: Foreign Countries, Informal Education, Nonformal Education, Computer Mediated Communication
Scialdone, Michael J.; Connolly, Amy J. – Journal of Information Systems Education, 2020
Given the ubiquity of interfaces on computing devices, it is essential for future Information Systems (IS) professionals to understand the ramifications of good user interface (UI) design. This article provides instructions on how to efficiently and effectively teach IS students about "fit," a Human-Computer Interaction (HCI) concept,…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Interfaces
Zorislav Šojat; Gordana Gredicak Šojat – International Society for Technology, Education, and Science, 2023
The sudden, unexpected breakthrough in the intelligence shown by machines, as a wished for, but very disruptive element, will shape the future of our civilisation and Humans as individuals and collectives. The extreme drive towards commercialisation of newest developments already led to an extremely wide spread of Machine Intelligence Assistants…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Morale
Heys, Jeffrey J. – Chemical Engineering Education, 2018
The application of Machine Learning (ML) tools to a wide range of problems from image recognition to movie recommendations is increasing rapidly. After a brief overview of ML, select ML tools are demonstrated through the analysis of student grades in various chemical engineering courses. ML tools are shown to help in the identification of…
Descriptors: Artificial Intelligence, Man Machine Systems, Teaching Methods, Grades (Scholastic)
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
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
Thompson, John – Innovate: Journal of Online Education, 2007
According to John Thompson, Web 2.0 is here. Having moved away from its roots in a read-only medium, the Internet is now a place where any and all users can create, upload, and transform information. A crucial consideration for Thompson is how this technological transformation will affect the pedagogical practices of institutions of higher…
Descriptors: Higher Education, Internet, Social Networks, Creativity
Gabay, T. V. – Programmed Learning and Educational Technology, 1982
This discussion of the current use and development of computer based, automated teaching systems (AOS) in the USSR includes a description of the pedagogical and technical aspects of a new unified AOS currently under development. A bibliography of 11 items is included. (CHC)
Descriptors: Autoinstructional Aids, Computer Assisted Instruction, Educational Media, Foreign Countries
Cole, Michael; And Others – 1983
A group of American and Japanese psychologists, anthropologists, linguists, and computer scientists gathered at the University of California, San Diego, to exchange ideas on models of joint problem solving and their special relevance to the design and implementation of computer-based systems of instruction. Much of the discussion focused on…
Descriptors: Artificial Intelligence, Cognitive Processes, Cooperation, Design Requirements
Peer reviewedBerven, Norman L.; Scofield, Michael E. – Journal of Counseling Psychology, 1980
Computerized case simulations have considerable potential application in counseling psychology. Methods have been demonstrated in the present study for quantifying and evaluating performance of both individuals and groups of subjects; these methods appear promising. (Author)
Descriptors: Clinical Psychology, Computer Assisted Instruction, Counselors, Man Machine Systems
Barker, Philip – Aspects of Educational and Training Technology Series, 1992
Discusses the application of computer based training (CBT) to human-computer interface design. Describes course considerations; courseware; and software environment for practice, and presents a case study outlining small group production of interactive guidebooks. Concludes that CBT can reduce instructional time and is an effective method for…
Descriptors: Case Studies, Competence, Computer Assisted Instruction, Computer Interfaces
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