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ETS Research Institute, 2024
ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Educational Testing, Ethics
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Regan Mozer; Luke Miratrix – Grantee Submission, 2024
For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by trained human raters. This process, the current standard, is both time-consuming and limiting: even the largest human coding efforts are typically constrained to…
Descriptors: Artificial Intelligence, Coding, Efficiency, Statistical Inference
Andrea Lodge – ProQuest LLC, 2024
Education is becoming more integrated with technology use. As Ammanath (2023) described, the older generation of educators need to move past their fears of technological advances to find the potential to better prepare younger generations for an artificially intelligent world. This dissertation addresses how teachers perceive the use of artificial…
Descriptors: Teacher Attitudes, Artificial Intelligence, Inclusion, Technology Uses in Education
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Mohammadhiwa Abdekhoda; Afsaneh Dehnad – Interactive Technology and Smart Education, 2024
Purpose: Artificial intelligence (AI) is a growing paradigm and has made considerable changes in many fields of study, including medical education. However, more investigations are needed to successfully adopt AI in medical education. The purpose of this study was identify the determinant factors in adopting AI-driven technology in medical…
Descriptors: Artificial Intelligence, Medical Education, Technology Uses in Education, Foreign Countries
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Sophia Soomin Lee; Robert L. Moore – Online Learning, 2024
In this systematic review, we synthesize ten empirical peer-reviewed articles published between 2019 and 2023 that used generative artificial intelligence (GenAI) for automated feedback in higher education. There are significant opportunities and challenges to integrate these tools effectively into learning environments as the demand for timely…
Descriptors: Artificial Intelligence, Higher Education, Feedback (Response), Grading
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Óscar Gavín-Chocano; Lara Checa Domene; Macarena Valdivia-Casas; Inmaculada García-Martínez – Teacher Development, 2024
The way in which students can identify, regulate and manage their emotions can impact not only on their present positive attitude and increased self-esteem, but also on their subsequent professional performance. In this study, 798 pre-service teachers participated, with a mean age of 24.52 years (±5.48). The instruments used were: "Wong Law…
Descriptors: Elementary School Teachers, Preschool Teachers, Self Esteem, Psychological Patterns
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Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
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Lars König; Steffen Zitzmann; Tim Fütterer; Diego G. Campos; Ronny Scherer; Martin Hecht – Research Synthesis Methods, 2024
Several AI-aided screening tools have emerged to tackle the ever-expanding body of literature. These tools employ active learning, where algorithms sort abstracts based on human feedback. However, researchers using these tools face a crucial dilemma: When should they stop screening without knowing the proportion of relevant studies? Although…
Descriptors: Artificial Intelligence, Psychological Studies, Researchers, Screening Tests
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David Tzuriel; Tammy Weiss; Gaby Kashy-Rosenbaum – British Journal of Educational Psychology, 2024
Background and Aims: This study examined the effects of working memory training (WMT) on WM and fluid intelligence. A novel four-pronged model of mediated learning, cognitive functions, task characteristics and metacognition is presented as a conceptual basis for the Modifiability of a Working Memory Program (MWMP). Our basic assumption is that…
Descriptors: Short Term Memory, Training, Program Effectiveness, Intelligence
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Wudhijaya Philuek – Asian Journal of Education and Training, 2024
The objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in…
Descriptors: Artificial Intelligence, Stress Variables, Depression (Psychology), Academic Achievement
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Bekir Yildirim; Ahmet Tayfur Akcan – Journal of Education in Science, Environment and Health, 2024
This study aimed to propose a Professional Development Model (PDM) for chemistry teachers to enhance their professional development in Artificial Intelligence (AI). The research group consisted of 17 chemistry teachers. The study was designed using a particular case study suitable for qualitative research methods. Document review, teacher…
Descriptors: Artificial Intelligence, Faculty Development, Science Teachers, Chemistry
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Hayriye Nevin Genc; Nuriye Kocak – Journal of Education in Science, Environment and Health, 2024
Understanding the trends and developments in artificial intelligence research in science education, which has rapidly advanced in recent years, is crucial for technological innovations and applications in education. Therefore, this study examines research on artificial intelligence in science education conducted between 2019 and 2023 (the last…
Descriptors: Bibliometrics, Information Retrieval, Databases, Artificial Intelligence
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Pablo Antonio Archila; Brigithe Tatiana Ortiz; Anne-Marie Truscott de Mejía; Jorge Molina – Information and Learning Sciences, 2024
Purpose: In November 2022, the commercial company, OpenAI, launched ChatGPT. Since then, university students have rapidly become regular users of this artificial intelligence (AI) platform. One reason for this is the powerful capability of this generative AI tool to produce textual content, which in many cases, is almost indistinguishable from…
Descriptors: Foreign Countries, Bilingual Education, English, Spanish
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Paul P. Martin; David Kranz; Peter Wulff; Nicole Graulich – Journal of Research in Science Teaching, 2024
Constructing arguments is essential in science subjects like chemistry. For example, students in organic chemistry should learn to argue about the plausibility of competing chemical reactions by including various sources of evidence and justifying the derived information with reasoning. While doing so, students face significant challenges in…
Descriptors: Science Education, Chemistry, Persuasive Discourse, Writing Evaluation
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Luise Arn; Elaine M. Huang – ACM Transactions on Computing Education, 2024
In this research, we explore the use of storybooks as an educational tool for fostering a meaningful understanding of artificial intelligence (AI) technologies for children and consider how AI should be depicted in storybook narratives to achieve this. We present guidelines for the depiction of AI in narratives for four- to six-year-old children…
Descriptors: Artificial Intelligence, Story Telling, Robotics, Knowledge Level
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