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Kim, Keunjae; Kwon, Kyungbin; Ottenbreit-Leftwich, Anne; Bae, Haesol; Glazewski, Krista – Education and Information Technologies, 2023
This study aims to explore the middle schoolers' common naive conceptions of AI and the evolution of these conceptions during an AI summer camp. Data were collected from 14 middle school students (12 boys and 2 girls) from video observations and learning artifacts. The findings revealed 6 naive conceptions about AI concepts: (1) AI was the same as…
Descriptors: Middle School Students, Misconceptions, Artificial Intelligence, Summer Programs
Ayse Alkan; Ezgi Pelin Yildiz – International Journal of Research in Education and Science, 2024
The main goal of this study is to reveal special talented primary school students' perceptions of artificial intelligence, one of the popular concepts of recent times, through metaphors. In this study, the phenomenological design, which is within the scope of qualitative research, was used. In this study, Türkiye Science and Art Center included…
Descriptors: Foreign Countries, Gifted, Elementary School Students, Middle School Students
Kimin Chung; Soohwan Kim; Yeonju Jang; Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
As artificial intelligence(AI) is utilised throughout society, the need to improve AI literacy as an essential competency, not only for specific experts but also for general citizens, is increasing. Therefore, several studies are being conducted on AI education, and attempts are being made to introduce it into the regular education curriculum.…
Descriptors: Artificial Intelligence, Technological Literacy, Diagnostic Tests, Elementary School Students
Lu Cai – International Journal of Technology and Design Education, 2024
Based on Folk theory, Media Equation, and AI literacy research, the study constructed an interview outline and selected 72 students in 4th and 5th grade in three primary schools located in the Minhang and Putuo districts of Shanghai (two in the Minhang district and one in the Putuo district) as the study participants for focus group interviews.…
Descriptors: Foreign Countries, Grade 4, Grade 5, Artificial Intelligence
Yannik Fleischer; Susanne Podworny; Rolf Biehler – Statistics Education Research Journal, 2024
This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…
Descriptors: Decision Making, Data Use, Cognitive Processes, Artificial Intelligence
Karumbaiah, Shamya; Zhang, Jiayi; Baker, Ryan S.; Scruggs, Richard; Cade, Whitney; Clements, Margaret; Lin, Shuqiong – International Educational Data Mining Society, 2022
Considerable amount of research in educational data mining has focused on developing efficient algorithms for Knowledge Tracing (KT). However, in practice, many real-world learning systems used at scale struggle to implement KT capabilities, especially if they weren't originally designed for it. One key challenge is to accurately label existing…
Descriptors: Artificial Intelligence, Middle School Students, Models, Concept Mapping
Okan Bulut; Tarid Wongvorachan; Surina He; Soo Lee – Discover Education, 2024
Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…
Descriptors: High School Students, Dropouts, Identification, Man Machine Systems
Feng, Dalei – International Journal of Web-Based Learning and Teaching Technologies, 2023
Applying multimedia technology to college music teaching can directly present some abstract knowledge to students. This not only breaks the limitation of traditional teaching time and space, but also enriches the teaching content and improves the teaching quality. Therefore, it is very important to change the teaching concept, actively practice…
Descriptors: Multimedia Instruction, Educational Technology, Music Education, Higher Education
Seda Göktepe Körpeoglu; Sevda Göktepe Yildiz – International Journal of Science Education, 2024
Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…
Descriptors: Foreign Countries, Middle School Students, STEM Education, Student Attitudes
John Ross – Region 8 Comprehensive Center, 2024
Artificial intelligence (AI) has been making considerable inroads into everyday lives, and AI applications and resources can be found in homes, businesses, entertainment venues, and--of course--in schools. The rapid rate at which AI is being integrated into education and placed in the hands of students, teachers, and other staff has prompted a…
Descriptors: Artificial Intelligence, Elementary Schools, Middle Schools, High Schools
Woongbin Park; Hyuksoo Kwon – International Journal of Technology and Design Education, 2024
The purpose of this study is multifold: First, to develop an educational program using artificial intelligence (AI) in middle school free semester system of South Korea. Second, to verify the program's effectiveness, the study clarified the definition of AI and AI education and considered their meaning in technology education. This study used…
Descriptors: Foreign Countries, Middle Schools, Artificial Intelligence, Program Effectiveness
Zhang, Helen; Lee, Irene; Ali, Safinah; DiPaola, Daniella; Cheng, Yihong; Breazeal, Cynthia – International Journal of Artificial Intelligence in Education, 2023
The rapid expansion of artificial intelligence (AI) necessitates promoting AI education at the K-12 level. However, educating young learners to become AI literate citizens poses several challenges. The components of AI literacy are ill-defined and it is unclear to what extent middle school students can engage in learning about AI as a…
Descriptors: Artificial Intelligence, Digital Literacy, Ethics, Middle School Students
Elif Ece Er; Muhammet Demirbilek – International Society for Technology, Education, and Science, 2023
In today's technology, there are rapid advances in the field of artificial intelligence. With the increasing involvement of artificial intelligence in daily activities, great changes are taking place in our habits. At this point, the necessity of educating students in accordance with the age of artificial intelligence emerges. Students'…
Descriptors: Middle School Students, Artificial Intelligence, Ethics, Student Attitudes
Saha, Sujan Kumar; Rao C. H., Dhawaleswar – Interactive Learning Environments, 2022
Assessment plays an important role in education. Recently proposed machine learning-based systems for answer grading demand a large training data which is not available in many application areas. Creation of sufficient training data is costly and time-consuming. As a result, automatic long answer grading is still a challenge. In this paper, we…
Descriptors: Middle School Students, Grading, Artificial Intelligence, Automation
Scott Cameron; Carmel Mesiti – Mathematics Education Research Group of Australasia, 2024
In their daily work teachers are responsible for several complex tasks; might AI be harnessed to support teachers in the challenging work of planning lessons? In this paper we investigate the use of an AI tool, namely ChatGPT, to generate a lesson plan that may be of use to teachers in their planning. A carefully worded prompt, informed by…
Descriptors: Artificial Intelligence, Mathematics Education, Lesson Plans, Computer Assisted Instruction