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Keunjae Kim; Kyungbin Kwon – Education and Information Technologies, 2024
The popularity of artificial intelligence (AI) has highlighted the necessity of K-12 AI education, particularly at the elementary level. However, the lack of a comprehensive and age-appropriate AI curriculum integrated into school subjects, along with the abstract and complex nature of AI concepts, exacerbates student inequalities. Researchers…
Descriptors: Artificial Intelligence, Curriculum Development, Program Effectiveness, Elementary School Students
Jiahong Su; Weipeng Yang – Journal of Computer Assisted Learning, 2024
Background: The number of artificial intelligence (AI) literacy studies in K-12 education has recently increased, with most research focusing on primary and secondary education contexts. Little research focuses on AI literacy programs in early childhood education. Objectives: The aim of this mixed-methods study is to examine the feasibility of an…
Descriptors: Foreign Countries, Artificial Intelligence, Kindergarten, Young Children
Mujgan Firincioglulari – Turkish Online Journal of Educational Technology - TOJET, 2024
Artificial Intelligence (AI) is a highly discussed subject, and its integration into our daily lives has grown significantly. This research evaluated how dental students in North Cyprus perceive and feel about artificial intelligence, with a focus on identifying educational needs to enhance their professional skills. A self-administered…
Descriptors: Foreign Countries, Artificial Intelligence, Dentistry, Graduate Students
Krittanai Thararattanasuwan; Veena Prachagool – International Education Studies, 2024
The relevance of incorporating AI into educational settings is growing as the technology develops. This research delves into the perspective of pre-service teachers on generative AI technology. This study employed 45 pre-service teachers to raise their perspective towards AI technology and then explore its correlation about components of AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
Benicio Gonzalo Acosta-Enriquez; Marco Agustín Arbulú Ballesteros; Carmen Graciela Arbulu Perez Vargas; Milca Naara Orellana Ulloa; Cristian Raymound Gutiérrez Ulloa; Johanna Micaela Pizarro Romero; Néstor Daniel Gutiérrez Jaramillo; Héctor Ulises Cuenca Orellana; Diego Xavier Ayala Anzoátegui; Carlos López Roca – International Journal for Educational Integrity, 2024
Artificial intelligence (AI) has been integrated into higher education (HE), offering numerous benefits and transforming teaching and learning. Since its launch, ChatGPT has become the most popular learning model among Generation Z college students in HE. This study aimed to assess the knowledge, concerns, attitudes, and ethics of using ChatGPT…
Descriptors: Student Attitudes, Ethics, Knowledge Level, Age Groups
Susan Shurden; Mike Shurden – Journal of Instructional Pedagogies, 2024
Artificial Intelligence (AI) is taking the world by storm. Higher education is not immune to this phenomenon and has many challenges in embracing AI. Much has been written lately concerning the typical application of AI in higher education, as well as in the classroom itself. The purpose of this paper is to gather information from students to…
Descriptors: Artificial Intelligence, Higher Education, College Students, Student Attitudes
Jan Delcker; Joana Heil; Dirk Ifenthaler; Sabine Seufert; Lukas Spirgi – International Journal of Educational Technology in Higher Education, 2024
The influence of Artificial Intelligence on higher education is increasing. As important drivers for student retention and learning success, generative AI-tools like translators, paraphrasers and most lately chatbots can support students in their learning processes. The perceptions and expectations of first-years students related to AI-tools have…
Descriptors: Artificial Intelligence, Learning Processes, Higher Education, College Freshmen
V. U Risana; Asheekha Shirin; Rukhiya Naduvile Purayil; Sandra Rose Mathew; Sauparnika Soman; C. Sarath Chandran; S. S. Kiron – Discover Education, 2024
This study aimed to understand the knowledge, application, and perspective of B. Pharm students regarding artificial intelligence (AI) tools. This study used a quantitative cross-sectional observational design, and data were collected using a questionnaire. The questionnaire was distributed among B. Pharm students in India, and 305 participants…
Descriptors: Foreign Countries, Undergraduate Students, Pharmaceutical Education, Student Attitudes
Irem Topuz; Beyza Nur Çelik – Online Submission, 2024
This qualitative research aims to examine the artificial intelligence literacy levels of psychological counseling candidates. Within the scope of the research, semi-structured interviews were conducted with 3rd and 4th-year students of the Guidance and Psychological Counseling program, and the views of 18 participants were analyzed. The data were…
Descriptors: Artificial Intelligence, Literacy, Knowledge Level, Counselor Training
Zhao, Anping; Yu, Yu – IEEE Transactions on Learning Technologies, 2022
To provide insight into online learners' interests in various knowledge from course discussion texts, modeling learners' sentiments and interests at different granularities are of great importance. In this article, the proposed framework combines a deep convolutional neural network and a hierarchical topic model to discover the hidden structure of…
Descriptors: Online Courses, Student Attitudes, Knowledge Level, Networks
Giselly Mayra Larêdo Lima; Ludmila Beghini Viriato Sanchez; Johnatan dos Santos Pereira; Valderí de Castro Alcântara; Juliana Maria Magalhães Christino – Journal of Education and Learning, 2024
This research delves into the multifaceted aspects influencing the adoption and utilization of ChatGPT among postgraduate students. Executed as a qualitative study involving participants from a prominent federal university, the primary objective was to discern students' nuanced perceptions of ChatGPT and their inclination to embrace it as an…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Graduate Students
Aminah Saad Aldossary; Alia Abdullah Aljindi; Jamilah Mohammed Alamri – Contemporary Educational Technology, 2024
Purpose: This study aims to provide an analysis of students' perceptions of the role of generative artificial intelligence (GenAI) tools in education, through five axes: (1) level of knowledge and awareness, (2) level of acceptance and readiness, (3) the role of GenAI in education, (4) level of awareness of potential concerns and challenges, and…
Descriptors: Foreign Countries, Student Attitudes, Artificial Intelligence, Knowledge Level
Hanrui Gao; Yi Zhang; Gwo-Jen Hwang; Sunan Zhao; Ying Wang; Kang Wang – Education and Information Technologies, 2024
Artificial Intelligence (AI) education in primary schools has received a great deal of attention globally, and it is thus important to investigate primary school students' perceptions and understanding of AI learning. Therefore, in this study, 673 drawings of conceptions of AI learning by third to sixth grade students were collected. Firstly, a…
Descriptors: Elementary School Students, Student Attitudes, Artificial Intelligence, Freehand Drawing
Chen-Chen Liu; Hai-Jie Wang; Dan Wang; Yun-Fang Tu; Gwo-Jen Hwang; Youmei Wang – Interactive Learning Environments, 2024
Teachers' instructional design skills influence their teaching practices and student learning performances. However, researchers have found that the traditional one-to-many model of preservice teacher education prevents preservice teachers from receiving timely and individualized feedback, making it difficult to fill in theoretical knowledge gaps…
Descriptors: Preservice Teachers, Instructional Design, Teaching Skills, Knowledge Level
Genady Grabarnik; Luiza Kim-Tyan; Serge Yaskolko – International Association for Development of the Information Society, 2022
Any advanced class in Science, Technology, Engineering, and Mathematics fields requires prerequisite knowledge. Typically, different students will have different levels of knowledge in these prerequisite areas. A prerequisite (Linear Algebra for Machine Learning course) was implemented as an interactive online course using Jupyter Notebooks and…
Descriptors: STEM Education, Knowledge Level, Artificial Intelligence, Algebra