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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
Birgit Zeyer-Gliozzo – Journal of Education and Work, 2024
The automation of job tasks due to technological change increases the pressure on workers whose jobs consist largely of such activities. In this context, politics and science attach great importance to further training, although the benefits for affected workers have hardly been investigated. Drawing on human capital theory and the task-based…
Descriptors: Foreign Countries, Automation, Job Security, Skill Obsolescence
Yoonkyeong Bae; YeonJoo Jung – English Teaching, 2024
With technological advancements, Automated Writing Evaluation (AWE) has garnered increasing interest in L2 writing research, significantly enhancing our understanding of AWE tools' practices and efficacy in L2 writing instruction. However, the relationships between feedback types (teacher vs. AWE) and different dimensions of engagement (cognitive…
Descriptors: Feedback (Response), Learner Engagement, Second Language Learning, Writing (Composition)
Felder, Alexandra; Duemmler, Kerstin; Caprani, Isabelle – Journal of Education and Work, 2021
Based on qualitative research on and automation technology apprentices in Switzerland, this paper examines apprentices' experiences of participating in their company's production activities and becoming members of their community of practice, and the influence of these experiences on the development of their occupational identity. Participation in…
Descriptors: Foreign Countries, Masonry, Building Trades, Automation
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
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
Thayer, Yvonne; Carliner, Saul; Driscoll, Margaret – COABE Journal: The Resource for Adult Education, 2021
In 2017, the authors began research for a book that would suggest training needs for the U.S. and Canadian workforce in the coming decades. Early in the research process they realized there was much more to understand in an evolving workplace than the call for reskilling workers. Workers would face many decisions influencing their careers while…
Descriptors: Foreign Countries, Job Search Methods, Job Skills, Automation
Taylor, Amanda; Nelson, Julie; O'Donnell, Sharon; Davies, Elizabeth; Hillary, Jude – National Foundation for Educational Research, 2022
Calls are intensifying for workforce reskilling and a re-engineering of education and training to meet the demands of the future. Current policy in England focuses on technical, digital and green economy skills, underpinned by strong literacy and numeracy and a knowledge-rich school curriculum. National Foundation for Educational Research's…
Descriptors: Job Skills, Labor Market, Foreign Countries, Futures (of Society)
Ibrahim Aydin; Vahide Bulut – Journal of Educational Technology and Online Learning, 2024
The purpose of this study is to provide students with a 21st century training that can be easily applied to industrial automation training, both online and in person, and that goes beyond traditional learning methods. It involves creating and programming a training package that is compatible with the Ministry of National Education (MEB)…
Descriptors: Active Learning, Student Projects, Industrial Education, Manufacturing Industry
Azevedo, Américo; Almeida, António Henrique – Education Sciences, 2021
Small and medium-sized enterprises (SMEs) in Europe risk their competitiveness if they fail to embrace digitalization. Indeed, SMEs are aware of the need to digitalize--more than one in two SMEs are concerned that they may lose competitiveness if they do not adopt new digital technologies. However, a key obstacle is related with decision-makers'…
Descriptors: Foreign Countries, Technology Integration, Barriers, Small Businesses
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
Byrne, Jake Rowan; O'Sullivan, Katriona; Sullivan, Kevin – IEEE Transactions on Education, 2017
This paper explores the use of a constructivist 21st-century learning model to implement a week-long workshop, delivered as a "hackathon," to encourage preuniversity teenagers to pursue careers in STEM, with a particular emphasis on computer science. For Irish preuniversity students, their experience of computing can vary from word…
Descriptors: Teaching Methods, Workshops, Models, Adolescents
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)
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis