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Yu-Shan Chang; Yen-Yin Wang; Yu-Te Ku – Interactive Learning Environments, 2024
Given the importance of innovation, artificial intelligence (AI) education, and online learning during the COVID-19 pandemic, we explored the effects of science, technology, engineering, art, and mathematics (STEAM) hands-on learning on online AI learning and creativity. We also analyzed the effects of creative emotions on AI learning using facial…
Descriptors: Electronic Learning, STEM Education, Experiential Learning, Artificial Intelligence
Daisuke Akiba; Rebecca Garte – Journal of Interactive Learning Research, 2024
The emergence of AI-powered Large Language Models (LLMs), such as ChatGPT and Google Gemini, presents both opportunities and challenges for higher education, particularly regarding academic integrity in writing instruction. This exploratory study examines a novel pedagogical approach that integrates LLMs as required feedback tools in a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Instruction, Integrity
Nuria Chaparro-Banegas; Alicia Mas-Tur; Norat Roig-Tierno – Cogent Education, 2024
For many years, technological developments and innovations such as artificial intelligence (AI) has forced the education system to adapt and modernise. This new reality requires people to develop critical thinking (CT) skills to promote sustainable development and provide solutions to contemporary problems. However, traditional learning and…
Descriptors: Critical Thinking, Artificial Intelligence, Educational Practices, Influence of Technology
Petra Polakova; Blanka Klimova – Cogent Education, 2024
Thanks to the continuous development of artificial intelligence (AI), more and more tools are available to help students to practice their language skills. Nowadays, there are various ways of using AI-driven technology in the process of language learning, one example is the use of chatbots. This pilot study aims to investigate the impact of the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Second Language Learning
Ronghuai Huang; Dejian Liu; Asha Singh Kanwar; Tao Zhan; Junfeng Yang; Rongxia Zhuang; Mengyu Liu; Zhisheng Li; Michael Agyemang Adarkwah – Open Praxis, 2024
This research delves into the global understanding of smart education from various perspectives, including expert viewpoints, policy dimensions, public datasets, and visions of equity and inclusion. Multiple webinars have revealed that the concept of smart education with a shared vision of quality education in the age of AI is being understood by…
Descriptors: Educational Policy, Global Approach, Comparative Education, Technology Uses in Education
Elizabeth Koh; Lishan Zhang; Alwyn Vwen Yen Lee; Hongye Wang – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) has the potential to revolutionize teaching and learning applications. This article examines the word cloud, a toolkit often used to scaffold teaching and learning for reflection, critical thinking, and content learning. Addressing the issues in traditional word clouds, semantic word clouds have been…
Descriptors: Vocabulary, Visual Aids, Electronic Publishing, Word Frequency
Lucas Kohnke; Di Zou; Benjamin L. Moorhouse – Educational Technology & Society, 2024
Technostress is a phenomenon in which rapid technological advancement affects teachers' psychological well-being. It is an emerging concern in English language education, which may be exacerbated by the advent of generative artificial intelligence (GenAI) tools such as ChatGPT. This study explores the factors that influence technostress among…
Descriptors: English (Second Language), Second Language Learning, Pedagogical Content Knowledge, Technological Literacy
Jeremy Roschelle; Judi Fusco; Pati Ruiz – Digital Promise, 2024
As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states--California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia--on how to approach artificial intelligence (AI) in education. Throughout this report the authors summarize the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Employment Qualifications, Responsibility
Eric J. Conrad; Laura K. Rees – Journal of Physical Education, Recreation & Dance, 2024
Comprehensive school health education (HE), despite its link to enhancing both student health and academic achievement, often faces barriers to effective implementation. As pedagogical strategies evolve to integrate traditional methods with technological innovations like artificial intelligence (AI), the adoption of innovation in HE preparation…
Descriptors: Health Education, Teaching Methods, Artificial Intelligence, Computer Software
Abdu Al-Kadi; Jamal Kaid Mohammed Ali – Language Teaching Research Quarterly, 2024
Artificial Intelligence (AI) has penetrated English language learning and teaching, and this penetration parallels a surge of research on its potential and challenges for learners and teachers altogether. This paper provides a glimpse of the status quo of generative (Gen) AI in contexts where English is not used natively. Adopting a holistic…
Descriptors: Artificial Intelligence, Computer Software, Independent Study, Teaching Methods
Haseski, Halil Ibrahim – International Journal of Computer Science Education in Schools, 2019
The aim of the present study was to determine the views of pre-service teachers on artificial intelligence. In the present qualitative study, conducted with the phenomenology design, that data were collected from 94 pre-service teachers attending different departments at Manisa Celal Bayar University, Faculty of Education during the 2018- 2019…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Artificial Intelligence
Richards, Deborah; Dignum, Virginia – British Journal of Educational Technology, 2019
Pedagogical Agents (PAs) that would guide interactions in intelligent learning environments were envisioned two decades ago. These early animated characters had been shown to deliver learning benefits. However, little was understood regarding what aspects were beneficial for learning and what sort of learning PAs were suitable for. This article…
Descriptors: Ethics, Interaction, Animation, Technology Uses in Education
du Boulay, Benedict – British Journal of Educational Technology, 2019
Intelligent Tutoring systems (ITSs) and Intelligent Learning Environments (ILEs) have been developed and evaluated over the last 40 years. Recent meta-analyses show that they perform well enough to act as effective classroom assistants under the guidance of a human teacher. Despite this success, they have been criticised as embodying a retrograde…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Meta Analysis, Artificial Intelligence
Vinichenko, Mikhail V.; Ridho, Taridi K.; Karacsony, Peter; Li, N. P.; Narrainen, Gundeea S.; ?hulanova, O?ana L. – International Journal of Education and Practice, 2019
This study aimed to identify the feasibility and expediency of gamifying activities in higher education institutions, for which an original methodology was used. However, gamification is complex and carries a high degree of risk in achieving organizational efficiency. It is therefore advisable to adopt a fragmented approach and selectively gamify…
Descriptors: Educational Games, Higher Education, Foreign Countries, Feasibility Studies
Zanetti, Margot; Iseppi, Giulia; Cassese, Francesco Peluso – Research on Education and Media, 2019
This work analyses the use of artificial intelligence in education from an interdisciplinary point of view. New studies demonstrated that an AI can "deviate" and become potentially malicious, due to programmers' biases, corrupted feeds or purposeful actions. Knowing the pervasive use of artificial intelligence systems, including in the…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Influence of Technology

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