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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
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
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
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
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
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
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
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
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
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
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
Udit Chawla; Rajesh Mohnot; Harsh Vikram Singh – Education and Information Technologies, 2024
This study aims to understand students' adoption of ChatGPT in educational settings. Students' perceptions of ChatGPT influence their intentions to adopt it. The factors that influence their adoption include "Perceived Pedagogy", "Perceived Amplification ", Perceived Ingenuity" and "Perceived Ethics " and these…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
Sibel Erduran; Olivia Levrini – International Journal of Science Education, 2024
Artificial intelligence (AI) is now a major driver of societal acceleration making a significant impact on science and science education. AI is used by scientists to generate hypotheses, design experiments, collect and interpret data in ways that were not previously possible with traditional methods alone. Science education research is…
Descriptors: Artificial Intelligence, Scientific Concepts, Influence of Technology, Science Education
Chia-Ju Lin; Wei-Sheng Wang; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2024
The rise of precision education has encouraged teachers to use intelligent diagnostic systems to understand students' learning processes and provide immediate guidance to prevent students from giving up when facing learning difficulties. However, current research on precision education rarely employs multimodal learning analytics approaches to…
Descriptors: STEM Education, Learning Analytics, Speech Communication, Auditory Perception
Liyan Liu; Shujuan Yan; Xinjie Deng; Zhonggen Yu – International Journal of Mobile and Blended Learning, 2024
With the rapid development of artificial intelligence, many applications have emerged, sparking heated discussions across various social sectors, particularly in education. This study aims to delve into the impact of pedagogical agents on learning through a combined use of VOSviewer and CitNetExplorer. Specifically, VOSviewer will facilitate a…
Descriptors: Artificial Intelligence, Blended Learning, Computer Software, Teaching Methods

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