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Tartuk, Murat – International Journal of Education and Literacy Studies, 2023
Artificial intelligence and technologies have started to directly affect and steer humanity with the developments in science and technology in recent years. Artificial intelligence is like a living organism that thinks, decides and remembers for humans. The effects and consequences of this situation on individuals and societies are explicitly…
Descriptors: Figurative Language, Student Attitudes, Middle School Students, Artificial Intelligence
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Aydin, Sevim; Duman, Emel; Bertiz, Yasemin; Birisçi, Salih – Journal of Educational Technology and Online Learning, 2022
In this study, it was aimed to investigate the change in the conceptual understanding of "artificial intelligence". For this purpose, the determination of the metaphors related to the concept of artificial intelligence in the stages before and after watching the artificial intelligence-themed computer-aided animation developed within the…
Descriptors: Artificial Intelligence, Figurative Language, Animation, Grade 5
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Ottenbreit-Leftwich, Anne; Glazewski, Krista; Jeon, Minji; Jantaraweragul, Katie; Hmelo-Silver, Cindy E.; Scribner, Adam; Lee, Seung; Mott, Bradford; Lester, James – International Journal of Artificial Intelligence in Education, 2023
With accelerating advances in artificial intelligence, it is clear that introducing K-12 students to AI is essential for preparation to interact with and potentially develop AI technologies. To succeed as the workers, creators, and innovators of the future, we argue students should encounter core concepts of AI as early as elementary school.…
Descriptors: Elementary School Students, Grade 4, Grade 5, Artificial Intelligence
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Sonja Laine; Elina Kuusisto; Kirsi Tirri – Scandinavian Journal of Educational Research, 2024
There is a lack of research on students' conceptions of giftedness and intelligence, despite recognition of their influence on real-life factors such as achievement and motivation. This paper presents a cross-sectional mixed methods study that investigated Finnish students' (age 6-16 years; N = 1282) implicit conceptions of giftedness and…
Descriptors: Student Attitudes, Gifted, Intelligence, Foreign Countries
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Zhang, H.; Magooda, A.; Litman, D.; Correnti, R.; Wang, E.; Matsumura, L. C.; Howe, E.; Quintana, R. – Grantee Submission, 2019
Writing a good essay typically involves students revising an initial paper draft after receiving feedback. We present eRevise, a web-based writing and revising environment that uses natural language processing features generated for rubric-based essay scoring to trigger formative feedback messages regarding students' use of evidence in…
Descriptors: Formative Evaluation, Essays, Writing (Composition), Revision (Written Composition)
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Jiawei Huang; Ding Zhou – Education and Information Technologies, 2024
Technological advancements have ushered in a new era of global educational development. Artificial Intelligence (AI) holds the potential to enhance teaching effectiveness and foster educational innovation. By utilizing student posture as a proxy, computer vision technology can accurately gauge levels of student engagement. While previous efforts…
Descriptors: Human Posture, Artificial Intelligence, Educational Technology, Learner Engagement
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Relmasira, Stefanus Christian; Lai, Yiu Chi; So, Chi Fuk Henry – European Educational Researcher, 2021
The transformation of occupations in Indonesia due to digital technologies, especially in Artificial Intelligence, becomes a challenge for current educators to prepare their students for future work skills. This research study seeks to understand what students' career aspirations are and their teachers' predictions about their students' future…
Descriptors: Elementary School Students, Elementary School Teachers, Prediction, Occupational Aspiration
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Munise Seçkin Kapucu; I?brahim Özcan; Hülya Özcan; Ahmet Aypay – International Journal of Technology in Education and Science, 2024
Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…
Descriptors: Secondary School Students, Science Achievement, Artificial Intelligence, Foreign Countries
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L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
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Kang, Dae-Min – Journal of Language, Identity, and Education, 2022
The current study looked at an English as a foreign language (EFL) teacher's emotional intelligence (EI) and emotional labor (EL). A Korean elementary fifth-grade classroom was observed eight times in a non-participant way. Further, the teacher and the students were interviewed in a semi-structured way, and the teacher was asked to write…
Descriptors: Elementary School Teachers, Language Teachers, English (Second Language), Second Language Instruction
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Chen, Chih-Hung; Koong, Chorng-Shiuh; Liao, Chien – Educational Technology & Society, 2022
Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…
Descriptors: Evaluation Methods, Speech Communication, Speech Skills, Anxiety
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Nikolic, Mirjana; Cvijetic, Maja – Research in Pedagogy, 2023
Although numerous studies show that intelligence, measured by various tests, is a significant predictor of school achievement, this cognitive variable can only explain about 50% of the variance. It is also known that communicative language ability represents an important basis for learning subject content in the early period of formal education.…
Descriptors: Intelligence, Communicative Competence (Languages), Elementary School Students, Grade 5
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Deveci Topal, Arzu; Dilek Eren, Canan; Geçer, Aynur Kolburan – Education and Information Technologies, 2021
This study aims to investigate the effect of chatbots that work with artificial intelligence on the success of students and their opinions about chatbots in the 'Matter and the changing state of matter' unit in the 5th grade science course. In addition to text-based functions, the designed chatbot includes a video accessed on the web to support…
Descriptors: Science Education, Elementary School Science, Elementary School Students, Grade 5
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Yildirim, Nagihan – Education Quarterly Reviews, 2022
The aim of this study is to conduct a meta-analysis study to examine the effectiveness of the argumentation-based teaching method in terms of sample, subject, years and some variables (academic success, attitude, interest, etc.). Meta-analysis method was used in this study. In order to gather the studies included in meta-analysis, various sources…
Descriptors: Science Instruction, Teaching Methods, Persuasive Discourse, Instructional Effectiveness
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Merino-Armero, José Miguel; González-Calero, José Antonio; Cózar-Gutiérrez, Ramón – Interactive Learning Environments, 2023
In modern society technology is widely used and, with the digitization of many services, this is an upward trend. Therefore, computational thinking (CT) is an increasingly important concept; an aspect that is being reflected on educational policies and the extracurricular offer of different countries. This study aims to look at the efficacy of…
Descriptors: Foreign Countries, Extracurricular Activities, Robotics, Elementary School Students
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