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McKnight, Lucinda – Changing English: Studies in Culture and Education, 2021
With artificial intelligence (AI) now producing human-quality text in seconds via natural language generation, urgent questions arise about the nature and purpose of the teaching of writing in English. Humans have already been co-composing with digital tools for decades, in the form of spelling and grammar checkers built into word processing…
Descriptors: Robotics, Artificial Intelligence, Writing (Composition), Writing Instruction
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Yang, Albert C. M.; Chen, Irene Y. L.; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Precision education is a new challenge in leveraging artificial intelligence, machine learning, and learning analytics to enhance teaching quality and learning performance. To facilitate precision education, text marking skills can be used to determine students' learning process. Text marking is an essential learning skill in reading. In this…
Descriptors: Grading, Computer Assisted Testing, Automation, Artificial Intelligence
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Hunt, Pihel; Leijen, Äli; van der Schaaf, Marieke – Education Sciences, 2021
While there is now extensive research on feedback in the context of higher education, including pre-service teacher education, little has been reported regarding the use of feedback from teachers to other teachers. Moreover, literature on the potential advantages that the use of technology, for example electronic portfolios and learning analytics,…
Descriptors: Teacher Attitudes, Teacher Evaluation, Peer Evaluation, Feedback (Response)
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Tolppanen, Bradley P. – Journal of Access Services, 2021
This article presents the results of an online survey of access services departments at academic libraries on the responses implemented during the initial stage of COVID-19 in March-May 2020. The 33-question survey was completed by 121 respondents. The article identifies policies and procedures adopted by access services departments during the…
Descriptors: COVID-19, Pandemics, Academic Libraries, Library Services
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Frost, Raymond; Matta, Vic; Kenyo, Lauren – Journal of Information Systems Education, 2021
Student learning benefits from individual support and feedback. This type of support does not scale well especially in large classes. A system was built to automate the delivery of individual support and feedback on Excel assignments in information systems and analytics courses. The system embeds instructional scaffolding in the distributed…
Descriptors: Automation, Scaffolding (Teaching Technique), Formative Evaluation, Individualized Instruction
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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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Pérez Castillejo, Susana – Research-publishing.net, 2021
Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…
Descriptors: Automation, Assistive Technology, Educational Technology, Speech Communication
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Lynette Hazelton; Jessica Nastal; Norbert Elliot; Jill Burstein; Daniel F. McCaffrey – Journal of Response to Writing, 2021
In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…
Descriptors: Formative Evaluation, Writing Evaluation, Automation, Natural Language Processing
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Traci C. Eshelman – Turkish Online Journal of Educational Technology - TOJET, 2024
The purpose of this multiple intrinsic case study was to describe how Northeastern United States middle school teachers and students engaged with a new automated writing evaluation tool used to score and provide feedback on extended essay assignments to improve teaching and learning writing. Richard Elmore's (1993) instructional core framework is…
Descriptors: High School Teachers, Learner Engagement, Automation, Writing Evaluation
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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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Krouska, Akrivi; Virvou, Maria – IEEE Transactions on Learning Technologies, 2020
Social networking-based learning (SN-learning) is one of the most promising innovations to promote learning via a social network, and thus, providing a more interactive, student-centered, cooperative, and on-demand environment. In such an environment, group formation plays an important role to the effectiveness of learning process. Adequate groups…
Descriptors: Social Networks, Cooperative Learning, Computer Uses in Education, Grouping (Instructional Purposes)
Joseph Michael Reilly – ProQuest LLC, 2020
Guided authentic scientific inquiry activities can give students a clear picture of the nature of science and how its fields operate in practice, but such activities are difficult to do well. Too much structure negates the benefit of open-ended activities and student-led investigation, while too little can result in frustration or unproductive…
Descriptors: Feedback (Response), Automation, Scaffolding (Teaching Technique), Scientific Concepts
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Kolog, Emmanuel Awuni; Montero, Calkin Suero – Education and Information Technologies, 2018
Emotions are a core semantic component of human communication. Since counsellors are humans we assume that their own state of emotions could affect their intuitional effort when taking decisions concerning their clients. Therefore, the accuracy of detected emotions by counsellors could be doubtful. And this highlights the need for complementing…
Descriptors: Emotional Response, Counselor Characteristics, Influences, Correlation
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González, Isaías; Calderón, Antonio José – Education Sciences, 2018
New paradigms such as the Industry 4.0, the Industrial Internet of Things (IIoT), or industrial cyber-physical systems (ICPSs) have been impacting the manufacturing environment in recent years. Nevertheless, these challenging concepts are also being faced from the educational field: Engineering students must acquire knowledge and skills under the…
Descriptors: Engineering Education, Manufacturing, Student Projects, Foreign Countries
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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
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