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Billington, Catherine; Rivero, Gonzalo; Jannett, Andrew; Chen, Jiating – Field Methods, 2022
During data collection, field interviewers often append notes or comments to a case in open text fields to request updates to case-level data. Processing these comments can improve data quality, but many are non-actionable, and processing remains a costly manual task. This article presents a case study using a novel application of machine learning…
Descriptors: Artificial Intelligence, Interviews, Data Collection, Notetaking
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Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Smart Learning Environments, 2022
Personalized learning systems use several components in order to create courses adapted to the learners'characteristics. Current emphasis on the reduction of costs of development of new resources has motivated the reuse of the e-learning personalization components in the creation of new components. Several systems have been proposed in the…
Descriptors: Individualized Instruction, Technology Uses in Education, Electronic Learning, Mathematics
Mohammad Mahdi Amanzadeh – ProQuest LLC, 2022
The overarching theme of this research project is to build a machine-accessible and mathematically precise abstraction of human body movement through experiments in programming an articulated puppet that imitates the human body structure and mobility within a "Real-Time Interactive Computer Animation" (RTICA). Human movement has been the…
Descriptors: Motion, Human Body, Programming, Man Machine Systems
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Huvila, Isto; Liu, Ying-Hsang – Education for Information, 2023
Information behavior, one of the central topics in information science research, holds a key position as a field of study of how people interact with information. As such it has many points of connection to a large number of neighboring fields from the study of human behavior to management and technical disciplines interested in developing…
Descriptors: Information Science, Interdisciplinary Approach, Educational Research, Conferences (Gatherings)
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Gu, Peidi; Xu, Xinhao; Qian, Xueqin; Weng, Tsung-Han – IEEE Transactions on Learning Technologies, 2023
Multiple studies have examined learning and training for autistic students to improve their quality of life by using eXtended-Reality (XR) technologies, which mainly include virtual reality (VR), augmented reality (AR), and mixed reality (MR). Nevertheless, little is known about how technical features and technology affordances of the XR…
Descriptors: Computer Simulation, Simulated Environment, Affordances, Autism Spectrum Disorders
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Karakose, Turgut; Demirkol, Murat; Aslan, Nurcihan; Köse, Hüseyin; Yirci, Ramazan – Educational Process: International Journal, 2023
Background/purpose: ChatGPT, an AI-powered chatbot designed with generative pre-trained transformer architecture, have intrigued millions of people from diverse backgrounds since its first release, and generated excitement with its groundbreaking performance in numerous use cases they have been tested. Its ability to generate coherent and…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Scientific Research
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An, Tao; Oliver, Martin – Learning, Media and Technology, 2021
Technology has been an important influence on the development of education. However, very little research in Educational Technology considers this history, and even less questions it. In this paper, we argue that our understanding of educational technology should be informed by the philosophy of technology -- a field that has attempted to explore…
Descriptors: Educational Technology, Man Machine Systems, Influence of Technology, Educational Philosophy
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Cui, Zhongmin – Educational Measurement: Issues and Practice, 2021
Commonly used machine learning applications seem to relate to big data. This article provides a gentle review of machine learning and shows why machine learning can be applied to small data too. An example of applying machine learning to screen irregularity reports is presented. In the example, the support vector machine and multinomial naïve…
Descriptors: Artificial Intelligence, Man Machine Systems, Data, Bayesian Statistics
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Doewes, Afrizal; Pechenizkiy, Mykola – International Educational Data Mining Society, 2021
Scoring essays is generally an exhausting and time-consuming task for teachers. Automated Essay Scoring (AES) facilitates the scoring process to be faster and more consistent. The most logical way to assess the performance of an automated scorer is by measuring the score agreement with the human raters. However, we provide empirical evidence that…
Descriptors: Man Machine Systems, Automation, Computer Assisted Testing, Scoring
Josh Freeman – Higher Education Policy Institute, 2024
This new Policy Note by HEPI and Kortext explores students' attitudes to AI. Based on a poll of 1,250 students through UCAS, we build a picture of the way students use and view generative AI technologies like ChatGPT and Google Bard. We find that the use of generative AI has become normalised in higher education, but that universities have so far…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Hamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics
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Corey Schimpf; Brian Castellani – International Journal of Social Research Methodology, 2024
Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods -- AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in…
Descriptors: Technology Integration, Technology Uses in Education, Computer Oriented Programs, Artificial Intelligence
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Steven Beyer; Kerstin Arndt – Open Education Studies, 2024
This article focuses on the gap in research concerning the insufficient availability of information and communication technologies for teacher professional learning (TPL) and the consequent scarcity of research on technology acceptance (TA) in TPL. These research gaps are addressed through the implementation of a chatbot designed to support…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Role
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Aras Bozkurt; Ramesh C. Sharma – Asian Journal of Distance Education, 2024
This study explores the transformative potential of Generative AI (GenAI) and ChatBots in educational interaction, communication, and the broader implications of human-GenAI collaboration. By examining the related literature through data mining and analytical methods, the paper identifies three main research themes: the revolutionary role of…
Descriptors: Algorithms, Artificial Intelligence, Man Machine Systems, Technology Uses in Education
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Jinhee Kim – Education and Information Technologies, 2024
Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence (AI) system, optimizing the complementary strengths of the two has aroused great expectations and educational innovation potential. Yet, the conceptual guidance of how best to structure and implement teacher-AI collaboration (TAC) while ensuring teachers'…
Descriptors: Teacher Attitudes, Artificial Intelligence, Man Machine Systems, Curriculum Development
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