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Xiaomeng Huang; Xavier Ochoa – Journal of Learning Analytics, 2025
Collaboration skills are fundamental to effective collaborative learning, career success, and responsible citizenship. Collaborative learning analytics (CLA) systems hold significant potential in helping students develop these skills by automatically collecting group interaction data, analyzing skill levels, and providing actionable feedback so…
Descriptors: Learning Analytics, Cooperative Learning, Cooperation, Skill Development
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Donnette Narine; Takashi Yamashita; Runcie C. W. Chidebe; Phyllis A. Cummins; Jenna W. Kramer; Rita Karam – New Horizons in Adult Education & Human Resource Development, 2025
Job automation can undermine economic security for workers in general, and older workers, in particular. In this respect, consistently updating one's knowledge and skills is essential for being competitive in a technology-driven labor market. Older workers with lower adult literacy skills experience difficulties with continuous education and…
Descriptors: Adult Literacy, Automation, Careers, Lifelong Learning
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Donnette Narine; Takashi Yamashita; Runcie C. W. Chidebe; Phyllis A. Cummins; Jenna W. Kramer; Rita Karam – Grantee Submission, 2024
Job automation can undermine economic security for workers in general, and older workers, in particular. In this respect, consistently updating one's knowledge and skills is essential for being competitive in a technology-driven labor market. Older workers with lower adult literacy skills experience difficulties with continuous education and…
Descriptors: Automation, Careers, Lifelong Learning, Skill Development
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Rojas, Matias; Sáez, Cristian; Baier, Jorge; Nussbaum, Miguel; Guerrero, Orlando; Rodríguez, María Fernanda – International Journal of Artificial Intelligence in Education, 2023
Collaborative Problem-Solving Skills (CPS) have become increasingly important. Research into the development of CPS is still scarce, but there are several approaches that may be useful for its development. Specifically, providing feedback in collaborative contexts is key. In this paper, we study and develop a feedback system that uses Automated…
Descriptors: Feedback (Response), Cooperation, Problem Solving, Video Games
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Barczak, Andre L. C.; Mathrani, Anuradha; Han, Binglan; Reyes, Napoleon H. – Educational Technology Research and Development, 2023
An important course in the computer science discipline is 'Data Structures and Algorithms' (DSA). "The coursework" lays emphasis on experiential learning for building students' programming and algorithmic reasoning abilities. Teachers set up a repertoire of formative programming exercises to engage students with different programmatic…
Descriptors: Computer Assisted Testing, Automation, Computer Science Education, Programming
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Li, Rui – British Journal of Educational Technology, 2023
Despite the popularity of automated writing evaluation (AWE) that has provoked an increased scholarly interest, synthesized research to comprehensively understand its pedagogical effects is still in paucity. To fill the gap, this study aims to meta-analyse the overall effect of AWE on learners' writing skill development and whether the effect…
Descriptors: Writing Evaluation, Writing Tests, Automation, Writing Skills
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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
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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
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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
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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
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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)
Shah, Priten – Jossey-Bass, An Imprint of Wiley, 2023
Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. "AI and the Future of Education" is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can…
Descriptors: Artificial Intelligence, Futures (of Society), Teaching (Occupation), Ethics
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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
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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
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