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Gerardo Ibarra-Vazquez; María Soledad Ramírez-Montoya; Hugo Terashima – Education and Information Technologies, 2024
This article aims to study machine learning models to determine their performance in classifying students by gender based on their perception of complex thinking competency. Data were collected from a convenience sample of 605 students from a private university in Mexico with the eComplexity instrument. In this study, we consider the following…
Descriptors: Foreign Countries, College Students, Private Colleges, Gender Bias
Leo Van Audenhove; Lotte Vermeire; Wendy Van den Broeck; Andy Demeulenaere – Information and Learning Sciences, 2024
Purpose: The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as…
Descriptors: Data Analysis, Data Collection, Information Literacy, Foreign Countries
Wang, Yuhua – Journal of Psycholinguistic Research, 2023
This paper explores the practical prospects for using artificial intelligence technologies in professional English-speaking translator education. At the online conference 'Translation Skills in Times of Artificial Intelligence' (DingTalk platform, January 2022), the teachers of higher education institutions in China prioritized the translator's…
Descriptors: English, Translation, Professional Education, Artificial Intelligence
Huang, Xiaodong – Education and Information Technologies, 2021
Cultivating students' key competencies contributes to students' adaptation to the fast developing intelligent era. Artificial intelligence education is an important way to cultivate students' key competencies. It is increasingly important to set up appropriate artificial intelligence courses at the fundamental education stage and cultivate…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Science Education, Competence
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Technology Systems, 2023
This research presents a proposed approach that could be applied in modeling students' study strategies and performance in higher education. The research used key learning attributes, including intrinsic motivation, extrinsic motivation, autonomy, relatedness, competence, and self-esteem in the modeling. Five machine learning models were…
Descriptors: Student Motivation, Learner Engagement, Undergraduate Students, Learning Strategies
Chiu, Thomas K. F.; Meng, Helen; Chai, Ching-Sing; King, Irwin; Wong, Savio; Yam, Yeung – IEEE Transactions on Education, 2022
Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI curriculum framework. The preposttest multifactors…
Descriptors: Curriculum Development, Curriculum Evaluation, Artificial Intelligence, Foreign Countries
Manar Hazaimeh; Abdullah M. Al-Ansi – International Journal of Information and Learning Technology, 2024
Purpose: Artificial intelligence (AI) is constantly evolving and is poised to significantly transform the world, affecting nearly every sector and aspect of society. As AI continues to evolve, it is expected to create a more dynamic, efficient and personalized education system, supporting lifelong learning and adapting to the needs and pace of…
Descriptors: Artificial Intelligence, Adoption (Ideas), Teacher Attitudes, Student Attitudes
Imdadullah Hidayat-ur-Rehman – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students' engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived…
Descriptors: Artificial Intelligence, Personal Autonomy, Learner Engagement, Informal Education
Alexandra R. Costa; Natércia Lima; Clara Viegas; Amélia Caldeira – Cogent Education, 2024
The use of AI tools, particularly ChatGPT, has been widespread in recent years. Its application in education has been criticized by some and supported by others. In this article we present the case of a work carried out as part of a course unit in a computer science degree program in which the use of ChatGPT was not only encouraged but required.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Science Education
Odicar Joice Chavez; Thelma Palaoag – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This study investigates user preferences for motivational features aligned with self-determination theory (SDT), emphasizing autonomy, relatedness, and competency. The study seeks to identify the most appealing and effective motivational features in AI-driven mobile apps for fostering autonomy, promoting relatedness, and enhancing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Handheld Devices, Telecommunications
Imdadullah Hidayat-ur-Rehman; Yasser Ibrahim – Interactive Technology and Smart Education, 2024
Purpose: A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the…
Descriptors: Influences, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
Nicole Johnson; Jeff Seaman; Julia Seaman – Open Praxis, 2024
This study investigates the following research questions in the Canadian and US contexts: 1) To what extent do those working at post-secondary institutions expect the future of post-secondary education to change over the next five years? 2) Do they feel ready for the changes that the future might bring? 3) Are they feeling optimistic or…
Descriptors: Foreign Countries, Futures (of Society), Postsecondary Education, Psychological Patterns
So, Joseph Chi-ho; Wong, Adam Ka-lok; Tsang, Kia Ho-yin; Chan, Ada Pui-ling; Wong, Simon Chi-wang; Chan, Henry C. B. – Journal of Technology and Science Education, 2023
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students' particulars such as their academic background, current study and student activity records, their attended higher education institution's expectations of graduate attributes and self-assessment of their own generic…
Descriptors: Pattern Recognition, Artificial Intelligence, Higher Education, College Students
Miao, Xin; Nadaf, Ali; Zhou, Zhuotong – International Review of Education, 2023
This article investigates the importance of global competence and its incorporation in interventions from Grade 5 to Grade 12 public education in the United Arab Emirates (UAE) to prepare learners for local and global challenges, such as sustainable development, technological innovation, climate change, etc. Using data from the Programme for…
Descriptors: Foreign Countries, Artificial Intelligence, Evidence, Global Approach
OECD Publishing, 2021
Artificial intelligence (AI) and robotics are major breakthrough technologies that are transforming the economy and society. The OECD's Artificial Intelligence and the Future of Skills (AIFS) project is developing a programme to assess the capabilities of AI and robotics, and their impact on education and work. This volume reports on the first…
Descriptors: Artificial Intelligence, Skill Development, Evaluation, Competence
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