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Tsai, Chih-Cheng; Cheng, Yuh-Min; Tsai, Yu-Shan; Lou, Shi-Jer – Education Sciences, 2021
In this study, experimental teaching was conducted through the artificial intelligence of things (AIOT) practical course, and the 4D (discover, define, develop, deliver) double diamond shape was used to design the course and plan the teaching content to observe the students' self-efficacy and learning anxiety. The technology acceptance model (TAM)…
Descriptors: High School Students, Student Satisfaction, Value Judgment, Usability
Lin, Vivien; Liu, Gi-Zen; Chen, Nian-Shing – Computer Assisted Language Learning, 2022
The use of technology such as online software has been examined in English as a foreign language (EFL) writing contexts. However, few studies have incorporated context-aware ubiquitous technology into EFL writing instruction. To develop multimodal and digital literacy of target EFL undergraduates in this pilot project, the researchers designed and…
Descriptors: Writing Instruction, Teaching Methods, Schemata (Cognition), Second Language Learning
Çelik, Ferdi; Yangin Ersanli, Ceylan – Smart Learning Environments, 2022
The advancement of technology has provided new avenues for English language teachers to assist students in improving their language learning processes. Augmented reality is an emerging technology that can implement virtual objects into the physical learning environment. This quantitative study aimed to determine the impact of employing augmented…
Descriptors: Content and Language Integrated Learning, Teaching Methods, English (Second Language), Second Language Learning
Lawrence, A. S. Arul, Ed.; Manivannan, M., Ed. – Online Submission, 2022
The epidemic of COVID-19 has disrupted education in over 150 nations and harmed 1.6 billion children. As a result, a number of nations have introduced some type of remote learning employing technology and students were encouraged to engage in self-determined learning. Many Educational Institutions that previously resisted changing their…
Descriptors: Distance Education, COVID-19, Pandemics, Technology Uses in Education
Gadanidis, George – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to examine the intersection of artificial intelligence (AI), computational thinking (CT), and mathematics education (ME) for young students (K-8). Specifically, it focuses on three key elements that are common to AI, CT and ME: agency, modeling of phenomena and abstracting concepts beyond specific instances.…
Descriptors: Artificial Intelligence, Computation, Mathematics Education, Elementary School Mathematics
Page, Lindsay C.; Gehlbach, Hunter – AERA Open, 2017
Deep reinforcement learning using convolutional neural networks is the technology behind autonomous vehicles. Could this same technology facilitate the road to college? During the summer between high school and college, college-related tasks that students must navigate can hinder successful matriculation. We employ conversational artificial…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, College Bound Students
Moussalli, Souheila; Cardoso, Walcir – Computer Assisted Language Learning, 2020
Second/foreign language (L2) classrooms do not always provide opportunities for input and output practice [Lightbown, P. M. (2000). Classroom SLA research and second language teaching. Applied Linguistics, 21(4), 431-462]. The use of smart speakers such as Amazon Echo and its associated voice-controlled intelligent personal assistant (IPA) Alexa…
Descriptors: Artificial Intelligence, Pronunciation, Native Language, Listening Comprehension
Brown, Phillip – Journal of Education and Work, 2020
A fundamental shift is taking place in the way we think about the future of work and its relationship to education, training and the labour market. Until recently, expanding higher education was widely believed to result in higher earnings, reflecting an insatiable demand for knowledge workers. In the United Kingdom, this race to higher education…
Descriptors: Higher Education, Foreign Countries, Outcomes of Education, Job Training
Welch, Vivian; Mathew, Christine; Marins, Luciana M.; Ghogomu, Elizabeth T.; Dowling, Sierra; Abdisalam, Salman; Madani, Mohamad T.; Murphy, Emma; Kebedom, Kisanet; Ogborogu, Jennifer; Gallagher-Mackay, Kelly – Campbell Systematic Reviews, 2020
The Organization for Economic Co-operation and Development (OECD) estimated that approximately 9% of current jobs within OECD member states are threatened with automation and digitalization--all significant successes and advances in artificial intelligence, robotics, and computer science. With such global changes and forecasts, in the labor…
Descriptors: Skill Development, International Organizations, Automation, Unemployment
Koc-Januchta, Marta M.; Schönborn, Konrad J.; Tibell, Lena A. E.; Chaudhri, Vinay K.; Heller, H. Craig – Journal of Educational Computing Research, 2020
Applying artificial intelligence (AI) to support science learning is a prominent aspect of the digital education revolution. This study investigates students' interaction and learning with an AI book, which enables the inputting of questions and receiving of suggested questions to understand biology, in comparison with a traditional E-book.…
Descriptors: Artificial Intelligence, Textbook Content, Science Materials, Biology
Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
European Commission, 2023
A foresight study on school education (ISCED levels 1-3) in the EU, which aimed at developing four scenarios, describing potential alternative futures of the school education in the EU by 2040, identifying the preferred scenario developments and providing recommendations on the policy measures that could be introduced, or strengthened, to help…
Descriptors: Educational Trends, Educational Change, Trend Analysis, Futures (of Society)
Francesca Gottschalk; Crystal Weise – OECD Publishing, 2023
Digital technologies can be used to support the inclusion of diverse student groups in education in a number of ways including enhancing accessibility of educational content, increasing personalisation and providing distance learning opportunities, as was the case during the COVID-19 pandemic. However, persistent digital inequalities can undermine…
Descriptors: Access to Computers, Educational Technology, Inclusion, Equal Education
Mack Shelley, Editor; Valarie Akerson, Editor; Mevlut Unal, Editor – International Society for Technology, Education, and Science, 2023
"Proceedings of International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES), which took place on October 19-22, 2023, in Las Vegas, Nevada. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and…
Descriptors: Conference Papers, Social Sciences, Educational Research, Education
Olive, David Monllao; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – IEEE Transactions on Learning Technologies, 2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…
Descriptors: Prediction, Identification, At Risk Students, Online Courses