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Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
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Blayone, Todd J. B. – Technology, Pedagogy and Education, 2019
Effective uses of digital technologies are vital to full inclusion in a network society. Digital-abilities researchers have produced several major frameworks, but these have generally not incorporated socio-contextual perspectives. To explore this lacuna, and engage in a reflective act of theorisation, activity theory is used to conceptualise four…
Descriptors: Educational Technology, Technology Uses in Education, Social Theories, Information Technology
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Ure, Odd Bjørn; Skauge, Tom – International Journal for Research in Vocational Education and Training, 2019
Context: The article contributes to a discussion of how patterns of employment and qualifications are modified by the ongoing industrial transformation, called Industry 4.0. Although this transformation is said to be a global phenomenon, scholars increasingly discuss the national differences in the wake of Industry 4.0. Our article aims to…
Descriptors: Foreign Countries, Vocational Education, Job Skills, Employment
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Ghani, Erlane K.; Muhammad, Kamaruzzaman – International Journal of Education and Practice, 2019
This study aims to examine employers' expectations of knowledge and skills in accounting graduates before hiring them. Using a qualitative approach on accounting practitioners and academics, this study shows that the expectations employers place on accounting students in the Industry 4.0 environment is set to change significantly, particularly in…
Descriptors: Employer Attitudes, Expectation, Accounting, Business Administration Education
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C. Sean Burns; Jennifer Pusateri; Daniela K. DiGiacomo – Journal of Education for Library and Information Science, 2025
This paper presents a novel approach to designing an online, open-source course in systems librarianship, an area of librarianship that may be perceived as complex and intimidating because of the technologies involved. The course design focuses on making systems librarianship more approachable for library and information science students who may…
Descriptors: Library Science, Online Courses, Open Education, Instructional Design
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…
Descriptors: Artificial Intelligence, Models, Tutors, Learning Theories
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Coelho, Heitor – Education Policy Analysis Archives, 2018
With education technology pointing to an ever-increasing automation of educational activities, a few enthusiasts go so far as to predict the replacement of teachers by robots. The present paper intends to take such declarations as a provocation, encouraging us to question our understanding of educational practices. That this possibility is even…
Descriptors: Robotics, Technology Uses in Education, Automation, Educational Practices
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Tomlinson, Joel; Johnson, Etahe; Chesser, Cole; Moore, Jonathan – Technology and Engineering Teacher, 2020
The automated water filtration design challenge integrates computer programming and basic electronics concepts through the SIMILAR systems engineering design process. The SIMILAR systems design process is to state the problem, investigate alternatives, model the system, integrate the system, launch the system, assess performance, and reevaluate…
Descriptors: Automation, Water, Water Quality, Design
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Afrin, Tazin; Wang, Elaine; Litman, Diane; Matsumura, Lindsay C.; Correnti, Richard – Grantee Submission, 2020
Automated writing evaluation systems can improve students' writing insofar as students attend to the feedback provided and revise their essay drafts in ways aligned with such feedback. Existing research on revision of argumentative writing in such systems, however, has focused on the types of revisions students make (e.g., surface vs. content)…
Descriptors: Writing (Composition), Persuasive Discourse, Revision (Written Composition), Documentation
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Breines, Markus Roos; Gallagher, Michael – Teaching in Higher Education, 2023
In the market discourses of technological disruption, higher education institutions have routinely been positioned in deficit models and of anachronistic approaches to teaching at odds with the types of educational futures being presented by commercial organisations. Predominantly, automation technologies in the form of artificial intelligence are…
Descriptors: Universities, Foreign Countries, Teaching Methods, College Faculty
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Lämsä, Joni; Uribe, Pablo; Jiménez, Abelino; Caballero, Daniela; Hämäläinen, Raija; Araya, Roberto – Journal of Learning Analytics, 2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Synchronous Communication, Learning Analytics
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Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
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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
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Evers, Katerina; Chen, Sufen – Computer Assisted Language Learning, 2022
This study examined the difference in adults' pronunciation performance with peer feedback and individual practice when using an automatic speech recognition (ASR) system. The same ASR software was used in both the comparison (n = 31) and the experimental group (n = 33) for 12 weeks. The participants were working adults in Taiwan. During the…
Descriptors: Automation, Computer Assisted Instruction, Speech Communication, Peer Evaluation
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Lewis, Taylor; Gorsak, Mark; Yount, Naomi – Field Methods, 2019
This article presents results from an experiment conducted during the web-based 2017 Federal Employee Viewpoint Survey (FEVS) to evaluate an automated refusal conversion strategy whereby a sample of individuals was given the opportunity to opt out from the survey and stop receiving additional e-mail reminders. Before being added to the unsubscribe…
Descriptors: Online Surveys, Government Employees, Federal Government, Automation
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