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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Chengming Zhang; Florian Hofmann; Lea Plößl; Michaela Gläser-Zikuda – Education and Information Technologies, 2024
Reflective practice holds critical importance, for example, in higher education and teacher education, yet promoting students' reflective skills has been a persistent challenge. The emergence of revolutionary artificial intelligence technologies, notably in machine learning and large language models, heralds potential breakthroughs in this domain.…
Descriptors: Foreign Countries, Higher Education, Reflection, Student Writing Models
Jakob Schwerter; Taiga Brahm – Technology, Knowledge and Learning, 2024
University students often learn statistics in large classes, and in such learning environments, students face an exceptionally high risk of failure. One reason for this is students' frequent statistics anxiety. This study shows how students can be supported using e-learning exercises with automated knowledge of correct response feedback,…
Descriptors: Statistics Education, College Students, Mathematics Anxiety, Electronic Learning
Risk of Job Automation and Participation in Adult Education and Training: Do Welfare Regimes Matter?
Ioannidou, Alexandra; Parma, Andrea – Adult Education Quarterly: A Journal of Research and Theory, 2022
This study explores the relation between risk of job automation and participation in adult education and training (AET) and examines variation in that relation across welfare regimes distinguishing between situational and institutional barriers. Using microdata of PIAAC, we analyze participation in formal or nonformal AET for job-related reasons…
Descriptors: Automation, Risk, Adult Education, Participation
Tom Bleckmann; Gunnar Friege – Knowledge Management & E-Learning, 2023
Formative assessment is about providing and using feedback and diagnostic information. On this basis, further learning or further teaching should be adaptive and, in the best case, optimized. However, this aspect is difficult to implement in reality, as teachers work with a large number of students and the whole process of formative assessment,…
Descriptors: Concept Mapping, Formative Evaluation, Automation, Feedback (Response)
Smythe, Suzanne; Grotlüschen, Anke; Buddeberg, Klaus – Studies in the Education of Adults, 2021
Online technologies have entered almost all spheres of life, introducing new challenges to how literacies are theorised, defined and taken up in adult literacy education settings. This process has accelerated during the COVID-19 pandemic and on a global scale, as more services, resources and information move online. An important, if under-studied…
Descriptors: Recruitment, Adults, Job Applicants, Computer Use
Spöttl, Georg; Windelband, Lars – Journal of Education and Work, 2021
Within the context of 'Industry 4.0', work organisation and work processes will change, along with ongoing automation and real-time oriented control of production. The same is true for work contents and the interaction and communication between humans and technology, which entail many consequences for users and providers throughout the entire…
Descriptors: Job Skills, Industrialization, Vocational Education, Automation
Hahnel, Carolin; Goldhammer, Frank; Kroehne, Ulf; Mahlow, Nina; Artelt, Cordula; Schoor, Cornelia – Studies in Higher Education, 2021
The study investigates automated and controlled cognitive processes that occur when university students read multiple documents (MDs). We examined data of 401 students dealing with two MD sets in a digital environment. Performance was assessed through several comprehension questions. Recorded log data gave indications about students' time…
Descriptors: Automation, Reading Comprehension, Cognitive Processes, College Students
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
Pfeiffer, Sabine – International Journal for Research in Vocational Education and Training, 2018
Context: Germany is seen as one of the major players in developing what is known as "Industry 4.0". Especially in the manufacturing and the automotive sector, the vocational training system is seen as a precondition and consequence alike for the global success of these sectors. Current research though characterizes production work,…
Descriptors: Foreign Countries, Vocational Education, Manufacturing, Automation
Rezat, Sebastian – ZDM: Mathematics Education, 2021
One of the most prevalent features of digital mathematics textbooks, compared to traditional ones, is the provision of automated feedback on students' solutions. Since feedback is regarded as an important factor that influences learning, this is often seen as an affordance of digital mathematics textbooks. While there is a large body of mainly…
Descriptors: Automation, Feedback (Response), Electronic Publishing, Textbooks
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Cummins, Phyllis A.; Yamashita, Takashi; Millar, Roberto J.; Sahoo, Shalini – Adult Learning, 2019
Automation and advanced technologies have increased the need for a better understanding of the skills necessary to have a globally competitive workforce. This study used data from the Program for the International Assessment of Adult Competencies to compare problem-solving skills in technology-rich environments among adults in South Korea,…
Descriptors: Foreign Countries, Global Approach, Employment Qualifications, Problem Solving
Cummins, Phyllis A.; Yamashita, Takashi; Millar, Roberto J.; Sahoo, Shalini – Grantee Submission, 2019
Automation and advanced technologies have increased the need for a better understanding of the skills necessary to have a globally competitive workforce. This study used data from the Program for the International Assessment of Adult Competencies to compare problem solving skills in technology rich environments among adults in South Korea,…
Descriptors: Foreign Countries, Global Approach, Employment Qualifications, Problem Solving
Newman, Mark; Kwan, Irene; Schucan Bird, Karen; Hoo, Hui-Teng – Education Endowment Foundation, 2021
Meta-syntheses have reported positive impacts of feedback for student achievement at different stages of education and have been influential in establishing feedback as an effective strategy to support student learning. However, these syntheses combine studies of a variety of different feedback approaches, combine studies where feedback is one of…
Descriptors: Feedback (Response), Academic Achievement, Elementary School Students, Secondary School Students