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Showing 1 to 15 of 125 results Save | Export
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Dagmar Mercedes Heeg; Lucy Avraamidou – Education and Information Technologies, 2025
AI has become integral to daily life. Teaching, learning, and research are no exception. However, most studies on education have approached AI as a technology and focused mostly on learning outcomes rather than understanding student engagement and sense-making of AI as a socio-cultural tool with impact on their daily lives. To address this gap in…
Descriptors: Young Children, Childrens Attitudes, Artificial Intelligence, Knowledge Level
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Marian Thiel de Gafenco; Tim Weinert; Andreas Janson; Jens Klusmeyer; Jan Marco Leimeister – Education and Information Technologies, 2024
Continuing vocational training benefits from the employees' ability to share individual experience and expertise with their co-workers, as these assets constitute competitive advantages for companies. IT-supported systems can facilitate processes of knowledge elicitation (e. g. as part of collaborative co-creation) to ensure retainment of…
Descriptors: Digital Literacy, Cooperation, Microcredentials, Information Technology
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Chrispus Zacharia Oroni; Fu Xianping; Daniela Daniel Ndunguru; Arsenyan Ani – Education and Information Technologies, 2025
In recent times, the rapid growth of e-learning has brought about increased concerns regarding cybersecurity risks within digital learning environments. Despite the growing importance of cybersecurity awareness among e-learning students, there is limited research on the factors that influence students' understanding and adherence to cyber safety…
Descriptors: Educational Technology, Electronic Learning, Information Security, Knowledge Level
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Weikang Lu; Chenghua Lin – Education and Information Technologies, 2025
Artificial intelligence is increasingly integrated into daily life, and modern educated individuals should have the ability to use AI tools correctly to improve work, study, and life efficiency. In this context, artificial intelligence literacy has been proposed. Due to the lack of consensus on the constructs of artificial intelligence literacy,…
Descriptors: Artificial Intelligence, Digital Literacy, Student Attitudes, College Students
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Christina Löfving – Education and Information Technologies, 2024
In a digital society, teachers are required to carry out policy directives on both core knowledge and more vaguely described cross-curricular competences, one being digital competence. This paper reports on the findings of a study in which 41 teachers from three lower secondary schools in Sweden engaged in focus group interviews where they…
Descriptors: Educational Technology, Technological Literacy, Secondary School Teachers, Secondary School Students
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Mücahit Öztürk; Pinar Mihci Türker; Gökhan Kerse – Education and Information Technologies, 2024
This study explored pre-service teachers' technological pedagogical content knowledge levels and their blended teaching readiness. In this context, the study employed the cross-sectional survey design, and the variables were analyzed descriptively and correlationally. The study was carried out with the participation of 477 pre-service teachers.…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Blended Learning
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Chen, Min; Zhou, Chi; Man, Shuo; Li, Yating – Education and Information Technologies, 2023
It is necessary to carry out large-scale evaluations to accurately diagnose the current situation and differences in teachers' information literacy at the individual and school levels to provide a reference for information literacy education. Through a large-scale online evaluation of 152,885 participants, the current situation and its differences…
Descriptors: Foreign Countries, Teachers, Information Literacy, Outcomes of Education
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Joshpine, T.; Albina, A. Pio – Education and Information Technologies, 2023
This study aims to assess the impact of metacognitive awareness of the Technological Pedagogical and Content Knowledge (TPACK) among preservice teachers. The investigation was carried out as descriptive research, involving a normative survey method. The sample consists of 200 preservice teachers in Karaikudi, drawn through a simple random sampling…
Descriptors: Preservice Teachers, Metacognition, Knowledge Level, Pedagogical Content Knowledge
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Huafeng Wu; Dantong Li; Xiaolan Mo – Education and Information Technologies, 2025
The risks posed by artificial intelligence (AI) in the education sector have been widely acknowledged in existing research. However, the factors influencing generative artificial intelligence (GAI) risk awareness among higher vocational education students remain unclear. Therefore, this study explores the impact of AI literacy--comprising AI…
Descriptors: Artificial Intelligence, Risk, Knowledge Level, Career and Technical Education
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Sotiroula Theodosi; Iolie Nicolaidou – Education and Information Technologies, 2025
The preventability of skin cancer stresses the need for primary prevention interventions early in life to help children realize how dangerous ultraviolet radiation (UVR) exposure can be. Internet of Things (IoT) devices can be used to measure UVR intensity in real-time to help children visualize it and understand the need for sun protection from…
Descriptors: Cancer, Prevention, Health Promotion, Health Behavior
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Khaleel Al-Said; Nidal Amarin; Lyubov Krasnova – Education and Information Technologies, 2024
This study aims to determine how the use of virtual reality impacts physics students, their knowledge, and the quality of training. The study involved 116 students aged 17-19. The main purpose is to explore the effect that VR technology has on students' knowledge and motivation. As per usual, the students were divided into two research groups:…
Descriptors: Physics, Science Instruction, Computer Simulation, Student Motivation
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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
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Areej ElSayary; Laila Mohebi – Education and Information Technologies, 2025
Preservice teachers often face challenges in developing Socio-emotional, Technological, and Metacognitive Knowledge (STM-K) due to a lack of effective integration of digital tools in their training. Developing STM-K is crucial for preservice teachers as it equips them with essential skills for effective teaching, such as emotional intelligence,…
Descriptors: Social Emotional Learning, Technological Literacy, Metacognition, Knowledge Level
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Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
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Xiao-Fan Lin; Yue Zhou; Weipeng Shen; Guoyu Luo; Xiaoqing Xian; Bo Pang – Education and Information Technologies, 2024
K-12 artificial intelligence (AI) education requires cultivating students' computational thinking in the school curriculum so as to transfer their computational thinking to diverse problems and authentic contexts. However, students may be limited by traditional computational thinking development activities because they may have a lower degree of…
Descriptors: Secondary School Students, Artificial Intelligence, Foreign Countries, Computation
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