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Showing 1 to 15 of 41 results Save | Export
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Betty Exintaris; Nilushi Karunaratne; Elizabeth Yuriev – Journal of Chemical Education, 2023
Successful problem solving is a complex process that requires content knowledge, process skills, developed critical thinking, metacognitive awareness, and deep conceptual reasoning. Teaching approaches to support students developing problem-solving skills include worked examples, metacognitive and instructional scaffolding, and variations of these…
Descriptors: College Bound Students, Problem Solving, Metacognition, Scaffolding (Teaching Technique)
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Tristan Kumor; Lida Uribe-Flórez; Jesús Trespalacios; Dazhi Yang – TechTrends: Linking Research and Practice to Improve Learning, 2024
There has been a limited amount of research that has attempted to determine teaching strategies using adaptive learning systems. Most studies have attempted to measure success of the use of these technologies based on improvements in students' test scores but have lacked to provide any information regarding the pedagogy implemented while using the…
Descriptors: High School Teachers, Mathematics Teachers, Teacher Attitudes, Teaching Methods
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Sintha Wahjusaputri; Tashia Indah Nastiti; Bunyamin; Wati Sukmawati – Journal of Education and Learning (EduLearn), 2024
The objective of this study is to examine and assess the progress of utilizing artificial intelligence (AI) in teaching factory learning to enhance the digital skills of vocational high school (SMK) students in the province of Central Java. This study employed a qualitative approach utilizing meta-ethnography, as well as a quantitative approach…
Descriptors: Artificial Intelligence, Vocational High Schools, Foreign Countries, Digital Literacy
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Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
Zachary Opps – ProQuest LLC, 2024
As the use of artificial intelligence (AI), especially machine learning (ML), has dramatically increased, K-12 schools have begun to deliver AI education; however, little is known about teachers' views on the field. This qualitative study investigated how U.S. high school computer science (CS) teachers conceptualize AI, the role of AI in their CS…
Descriptors: Artificial Intelligence, High School Teachers, Computer Science Education, Teacher Education
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Muhamad Taufik Hidayat – Journal of Learning for Development, 2024
The ability to comprehend reading material is a crucial skill for academic and professional success, yet many students struggle with it, negatively impacting their academic performance. This study aimed to assess the effectiveness of AI-based personalised reading platforms in improving reading comprehension among senior high school students. The…
Descriptors: Artificial Intelligence, Reading Comprehension, Academic Achievement, High School Students
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Xiaodong Huang; Chengche Qiao – Science & Education, 2024
Artificial intelligence is the unification of philosophy, cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, and uncertainty theory. Therefore, it is feasible and necessary to utilize STEAM (Science, Technology, Engineering, Liberal Arts, and Mathematics) education to learn artificial…
Descriptors: Thinking Skills, Artificial Intelligence, STEM Education, Art Education
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Georgios A. Bazoukis; Spyros T. Halkidis; Evangelos Pepes; Pantelis Venardos – European Journal of Science and Mathematics Education, 2024
The problem behind our research that was investigated was the evaluation of an artificial intelligence in education tool, namely ASSISTments by seventy one science and technology students in a small city. The objective was to find to what extent the students assimilate this tool. The data collection and instrumentation were done by the tool…
Descriptors: Ethics, Mathematics Instruction, Science Education, Technology Education
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Seow Yongzhi – IAFOR Journal of Education, 2024
Humanities education in Singapore at the secondary level emphasises the inquiry-based learning pedagogical approach to engage students, inculcate critical thinking skills, and achieve the necessary knowledge and skills outcomes stipulated by the national curriculum. Inquiry-based learning is structured by a Humanities inquiry cycle involving four…
Descriptors: Debate, Teaching Methods, Artificial Intelligence, Humanities Instruction
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Ramon Mayor Martins; Christiane Gresse Von Wangenheim; Marcelo Fernando Rauber; Jean Carlo Rossa Hauck; Melissa Figueiredo Silvestre – Informatics in Education, 2024
Knowledge about Machine Learning (ML) is becoming essential, yet it remains a restricted privilege that may not be available to students from a low socio-economic status background. Thus, in order to provide equal opportunities, we taught ML concepts and applications to 158 middle and high school students from a low socio-economic background in…
Descriptors: Middle School Students, High School Students, Low Income Students, Socioeconomic Status
Santi Pratiwi Tri Utami; Andayani; Retno Winarni; Sumarwati – Contemporary Educational Technology, 2023
Research shows that artificial intelligence (AI) technology positively influences students' writing skills, but this area has yet to be touched by Indonesian researchers. This study aims to map perception, obstacles, and recommendations for optimizing use of AI in teaching academic writing in Indonesian. This article focuses on a case study of…
Descriptors: Foreign Countries, Writing Instruction, Artificial Intelligence, Writing Skills
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Saif Alneyadi; Yousef Wardat – Contemporary Educational Technology, 2023
The study aimed to examine the influence of ChatGPT on the academic performance and learning perception of eleventh-grade students in a United Arab Emirates school in the field of electronic magnetism. The participants were randomly divided into two groups: an experimental group granted access to ChatGPT and a control group without access to…
Descriptors: Academic Achievement, Grade 11, Foreign Countries, Artificial Intelligence
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Li Cheng; Ethan Croteau; Sami Baral; Cristina Heffernan; Neil Heffernan – Journal of Educational Computing Research, 2024
Chatbots represent a promising technology for engaging students in math learning. Guided by Jerome Bruner's constructivism and Lev Vygotsky's Zone of Proximal Development, we designed and developed a chatbot that incorporates scaffolding strategies and social-emotional considerations, and we integrated it into ASSISTments, an online math learning…
Descriptors: Artificial Intelligence, Learning Management Systems, Teaching Methods, Mathematics Instruction
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Areej ElSayary – Journal of Computer Assisted Learning, 2024
Background: The widespread use of information and communication technology (ICT) has led to significant changes in societal aspects, resulting in the emergence of a "knowledge society." However, students and teachers have faced challenges in adapting to this digitalization. In the United Arab Emirates (UAE), transitioning to a…
Descriptors: Teacher Attitudes, Artificial Intelligence, Information Technology, Barriers
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Christopher H. Clark; Cathryn van Kessel – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Due to the introduction and rapid ubiquity of artificial intelligence (AI) and AI-integrated programs that can be used by students and teachers, educational scholarship evaluating the capabilities of AI is needed. This study evaluates the abilities of three prominent AI programs--ChatGPT, Microsoft's Bing, and Google's Bard--to create high school…
Descriptors: Social Studies, High School Teachers, Lesson Plans, Artificial Intelligence
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