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Dai, Yun; Lin, Ziyan; Liu, Ang; Dai, Dan; Wang, Wenlan – Journal of Educational Computing Research, 2024
Artificial intelligence (AI) has emerged as a prominent topic in K-12 education recently. However, pedagogical design has remained a major challenge, especially among young learners. Guided by the Zone of Proximal Development theory and AI education research literature, this design-based study proposes an analogy-based pedagogical approach to…
Descriptors: Foreign Countries, Grade 6, Artificial Intelligence, Logical Thinking
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Cathal Doyle; Stephen Ross; Cathy Buntting; Matt Boucher; Tanya Kotzé – set: Research Information for Teachers, 2023
This article reports on a case study from a larger project exploring ways in which online citizen science projects can enhance students' learning in science and in digital technology. In this case, two teachers integrated the digital technology curriculum with the science capability "interpreting representations" using the engaging…
Descriptors: Foreign Countries, Science Education, Grade 6, Grade 7
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Chang, Jina; Park, Joonhyeong; Park, Jisun – Asia-Pacific Science Education, 2023
This study aims to explore how to use an AI chatbot pedagogically in scientific inquiry by developing a guided-inquiry activity using an AI chatbot and applying it. The developed guided-inquiry activity consisted of designing and doing inquiry activities using the transmission of sound as the topic. In this activity, a chatbot, which was given the…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Science Education, Inquiry
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Ali Rashed Ibraheam Almohesh – International Review of Research in Open and Distributed Learning, 2024
In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat…
Descriptors: Artificial Intelligence, Natural Language Processing, Foreign Countries, Elementary Schools
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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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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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Pu, Song; Ahmad, Nor Aniza; Md. Khambari, Mas Nida; Yap, Ng Keng; Ahrari, Seyedali – Asian Journal of University Education, 2021
The purpose of this study is twofold: (1) to develop a service-learning-based module training artificial intelligence (AI) subject (SLBM-TAIS); and (2) to evaluate the effect of SLBM-TAIS on preservice teachers' (PSTs') practical knowledge and motivation, as well as primary school students' attitude towards AI in China. Participants of this study…
Descriptors: Preservice Teachers, Knowledge Level, Student Motivation, Artificial Intelligence
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Chi-Jen Lin; Husni Mubarok – Interactive Learning Environments, 2024
Fostering young learners' computational thinking in AI-based robots is a crucial issue in educational settings. However, there was the complexity of technology in supporting learning activities and the gender gap issue, so an appropriate strategy is needed to guide students to achieve the learning goals. In this study, an AI (Artificial…
Descriptors: Computation, Thinking Skills, Blended Learning, Artificial Intelligence
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Okan Yeti?sensoy; Hidir Karaduman – Education and Information Technologies, 2024
The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…
Descriptors: Artificial Intelligence, Grade 6, Social Studies, Middle School Students
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Juho Kahila; Henriikka Vartiainen; Matti Tedre; Eetu Arkko; Anssi Lin; Nicolas Pope; Ilkka Jormanainen; Teemu Valtonen – Informatics in Education, 2024
The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…
Descriptors: Personal Autonomy, Data, Children, Creativity
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Açisli Çelik, Sibel; Ergin, Ismet – International Journal of Research in Education and Science, 2022
This research was supported within the scope of TÜBITAK-4004 Nature Education and Science Schools Program with Project number 121B899. In this research, it is aimed to evaluate the "Artvin gets Color with Science and Robotics 2" project, which was carried out with 30 secondary school 6th and 7th grade students between 2-8 August 2021…
Descriptors: Foreign Countries, Secondary School Students, Grade 6, Grade 7
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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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Mat Roni, Saiyidi; Merga, Margaret Kristin – Australian Journal of Education, 2019
Children's attitudes towards, and frequency of recreational reading influence their reading skill level. The aim of this study was to determine the relative influence of research-supported intrinsic and extrinsic variables that can shape this attitude and practice, and to investigate the use of artificial neural network as an adjunct approach in…
Descriptors: Children, Elementary School Students, Grade 4, Grade 6
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Yang, Chih-Wei; Kuo, Bor-Chen; Liao, Chen-Huei – Turkish Online Journal of Educational Technology - TOJET, 2011
The aim of the present study was to develop an on-line assessment system with constructed response items in the context of elementary mathematics curriculum. The system recorded the problem solving process of constructed response items and transfered the process to response codes for further analyses. An inference mechanism based on artificial…
Descriptors: Foreign Countries, Mathematics Curriculum, Test Items, Problem Solving