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Ismail Celik; Egle Gedrimiene; Signe Siklander; Hanni Muukkonen – Australasian Journal of Educational Technology, 2024
Twenty-first-century skills should be integrated into higher education to prepare students for complex working-life challenges. Artificial intelligence (AI)-powered tools have the potential to optimise skill development among higher education students. Therefore, it is important to conceptualise relevant affordances of AI systems for 21st-century…
Descriptors: Artificial Intelligence, 21st Century Skills, Higher Education, Educational Research
Bin Zou; Yiran Du; Zhimai Wang; Jinxian Chen; Weilei Zhang – SAGE Open, 2023
The development of artificial intelligence (AI) technology has enhanced the use of automated speech evaluation systems for language learners to practice speaking skills. This study investigated whether various automatic feedback offered by AI speech evaluation programs can help English as a foreign language (EFL) learners develop speaking skills.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Speech Skills
Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
Yang, Yuanyuan; Majumdar, Rwitajit; Li, Huiyong; Akçapinar, Gökhan; Flanagan, Brendan; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2021
Self-direction skill is considered a vital skill for twenty-first-century learners in both the learning context and physical activity context. Analysis skill for self-directed activities requires the students to analyze their own activity data for understanding their status in that activity. It is an important phase that determines whether an…
Descriptors: Data Analysis, Skill Development, Self Management, Independent Study
M. Huerta-Gomez-Merodio; M. A. Fernández-Ruiz; M. V. Requena-Garcia-Cruz – European Journal of Education, 2024
Research on improving engineering skills in students advocates for high-quality teaching practices as well as the implementation of digitally enhanced management systems, such as e-Learning. Furthermore, COVID-19 led to several changes in education, such as switching drastically from face to face to emergency remote and later hybrid teaching. This…
Descriptors: Electronic Learning, Blended Learning, Engineering Education, Skill Development
Lumina Foundation, 2020
Economists, policymakers and other experts spend a great deal of time talking about the "future of work," but in many ways, the future is already here. Profound changes are already affecting our workforce and economy, including globalization, automation, and artificial intelligence. We need to adapt to these changes by adequately…
Descriptors: Futures (of Society), Employment, Education Work Relationship, Postsecondary Education
Vargas, Santiago; Zamirpour, Siavash; Menon, Shreya; Rothman, Arielle; Häse, Florian; Tamayo-Mendoza, Teresa; Romero, Jonathan; Sim, Sukin; Menke, Tim; Aspuru-Guzik, Alán – Journal of Chemical Education, 2020
The increasing integration of software and automation in modern chemical laboratories prompts special emphasis on two important skills in the chemistry classroom. First, students need to learn the technical skills involved in modern scientific computing and automation. Second, applying these techniques in practice requires effective collaboration…
Descriptors: Teamwork, Computer Uses in Education, Cooperative Learning, Automation
Sumie Chan; Noble Lo; Alan Wong – rEFLections, 2024
This study investigates the impact of feedback generated by large language models (LLMs) on improving the essay-writing skills of first-year university students in Hong Kong. Specifically, it examines how generative AI supports students in revising their essays, enhances engagement with writing tasks, and influences their emotional responses…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Automation
Taneri, Grace Ufuk – Center for Studies in Higher Education, 2020
We are living in an era of artificial intelligence (AI). There is wide discussion about and experimentation with the impact of AI on education/higher education. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their…
Descriptors: Artificial Intelligence, Higher Education, Electronic Learning, Blended Learning
Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Marquardson, Jim – Information Systems Education Journal, 2018
Academics are responding to the call from industry for graduates armed with cybersecurity skills. A common challenge that educators face is creating effective cybersecurity curriculum that prepares students with practical skills upon graduation. While hands-on exercises are a powerful method for teaching and assessing cybersecurity skills, these…
Descriptors: Information Security, Information Science Education, Teaching Methods, Skill Development
Saucerman, Jenny; Ruis, A. R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Learning to solve "complex problems"--problems whose solutions require the application of more than basic facts and skills--is critical to meaningful participation in the economic, social, and cultural life of the digital age. In this paper, we use a theoretical understanding of how professionals use reflection-in-action to solve complex…
Descriptors: Reflection, Problem Solving, Automation, Skill Development
Rainie, Lee; Anderson, Janna – Pew Research Center, 2017
Machines are eating humans' jobs talents. And it is not just about jobs that are repetitive and low skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil…
Descriptors: Futures (of Society), Educational Trends, Trend Analysis, Job Training
Mink, Meridith Beck – Council on Library and Information Resources, 2016
In September 2015, the Institute of Museum and Library Services (IMLS) awarded the Council on Library and Information Resources (CLIR) a grant to investigate the early impacts of the National Digital Stewardship Residency (NDSR) programs, in order to inform subsequent development of similar programs by others with a vested interest in building…
Descriptors: Electronic Publishing, Library Services, Information Management, Library Automation
Lu, Zhihong; Li, Xiaowei; Li, Zhenxiao – Research-publishing.net, 2015
The effective design and use of Automated Writing Evaluation (AWE) tools in developing English as a Foreign Language (EFL) learners' writing skill and learner autonomy have remained great challenges for system designers, developers, and EFL instructors compared with that of the pencil-paper writing in the context of regular teacher-fronted…
Descriptors: Writing Evaluation, Automation, Feedback (Response), English (Second Language)
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