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Christensen, Bo Allesøe – Studies in Philosophy and Education, 2023
The aim of the article is to theoretically develop a notion of digital "Bildung" that accepts the "world" of today as characterised by the entanglement of humans and technology. I draw on Adorno's critical notion of "Bildung," Luciano Floridi's and Katherine Hayles' respective understandings of the human-technology…
Descriptors: Philosophy, Social Theories, Semantics, Man Machine Systems
Jin Mao; Baiyun Chen; Juhong Christie Liu – TechTrends: Linking Research and Practice to Improve Learning, 2024
The abrupt emergence and rapid advancement of generative artificial intelligence (AI) technologies, transitioning from research labs to potentially all aspects of social life, has brought a profound impact on education, science, arts, journalism, and every facet of human life and communication. The purpose of this paper is to recapitulate the use…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Electronic Learning
Philip Slobodsky; Mariana Durcheva – International Journal of Mathematical Education in Science and Technology, 2025
AI-based bots (ChatGPT) are capable of solving mathematics problems, and students often use them for homework preparation, self-learning, etc. This raises a number of didactical and technical questions: How can students submit assignments containing complex mathematical expressions using only a keyboard? How should mathematics errors in ChatGPT's…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
Khanyisile Twabu – Discover Education, 2025
This article proposes a novel conceptual framework that integrates Artificial Intelligence (AI) with Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) to enhance Open Distance eLearning (ODeL) systems. By bridging the gap between traditional cognitive theories and cutting-edge AI technologies, this framework…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Artificial Intelligence
Nicola Robertson – Prism: Casting New Light on Learning, Theory & Practice, 2022
There is no denying that the influence and use of technology in relation to teaching and learning increased significantly during the Co-Vid-19 periods of isolation and lockdown. The screen became the classroom; the teacher (and the students), rendered as apparitions of virtuality. Nevertheless, despite the barriers of distance and screen, there…
Descriptors: Teaching (Occupation), Electronic Learning, Robotics, Computer Assisted Instruction
Smith, Donald A. – Physics Teacher, 2021
A working knowledge of Artificial Neural Networks is rapidly becoming critical for navigating the modern world. Although the last few years have seen an explosion of the use of these tools in research, and there are many do-it-yourself articles on the web, they have not yet filtered down to wide implementation in introductory courses. I report…
Descriptors: Artificial Intelligence, Man Machine Systems, Introductory Courses, Astronomy
Agrati, Laura Sara; Burgos, Daniel; Ducange, Pietro; Limone, Pierpaolo; Pecori, Riccardo; Perla, Loredana; Picerno, Pietro; Raviolo, Paolo; Stracke, Christian M. – Education Sciences, 2021
In this paper, we report the scientific experience of HELMeTO 2020, the second edition of the International Workshop on Higher Education Learning Methodologies and Technologies Online, held virtually in Bari (Italy) in September 2020 because of the COVID-19 pandemic. The call received 59 proposals from nine countries, 39 papers were accepted to…
Descriptors: Distance Education, Higher Education, Electronic Learning, Technology Uses in Education
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
Popescu, Paul Stefan – International Educational Data Mining Society, 2015
In this digital era, learning from data gathered from different software systems may have a great impact on the quality of the interaction experience. There are two main directions that come to enhance this emerging research domain, Intelligent Data Analysis (IDA) and Human Computer Interaction (HCI). HCI specific research methodologies can be…
Descriptors: Data Analysis, Electronic Learning, Interaction, Design
Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Bull, Susan; Kay, Judy – International Journal of Artificial Intelligence in Education, 2016
The SMILI? (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was for SMILI? to provide researchers with a systematic way to describe, compare and critique OLMs. We expected it to highlight those areas where there…
Descriptors: Educational Research, Data Collection, Data Analysis, Intelligent Tutoring Systems
Letting Artificial Intelligence in Education out of the Box: Educational Cobots and Smart Classrooms
Timms, Michael J. – International Journal of Artificial Intelligence in Education, 2016
This paper proposes that the field of AIED is now mature enough to break away from being delivered mainly through computers and pads so that it can engage with students in new ways and help teachers to teach more effectively. Mostly, the intelligent systems that AIED has delivered so far have used computers and other devices that were essentially…
Descriptors: Artificial Intelligence, Educational Technology, Robotics, Intelligent Tutoring Systems
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
Fleischer, Håkan – Education Inquiry, 2011
The article aims to illuminate the character of Web 2.0 based on a reading of Martin Heidegger in order to provoke new epistemological questions about Web 2.0 and knowledge formation. The article applies the ontological grounds on which Heidegger described being-in-world and worldliness to the phenomenon of Web 2.0. The article states that Web 2.0…
Descriptors: Phenomenology, Web 2.0 Technologies, Concept Formation, Epistemology
Lloyd, Margaret – Journal of Learning Design, 2010
There is a "reality" to being online which we know to be false. We are simultaneously "there" but "not there" as we talk, work and play with others in online spaces. We move between physical and virtual spaces in ways that realise the predictions made for computers in the mid-20th Century and enact scenarios from science fiction. We are left…
Descriptors: Science Fiction, Social Change, Social Environment, Electronic Learning
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