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Jin, Hao-Yue; Cutumisu, Maria – Education and Information Technologies, 2023
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed results in previous studies. Thus, it is necessary to identify patterns in the relationships between predictors of CT and CT skills to further support CT development. This study developed an online CT…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Predictor Variables
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Sreemathy, R.; Turuk, Mousami; Kulkarni, Isha; Khurana, Soumya – Education and Information Technologies, 2023
Sign language is the natural way of communication of speech and hearing-impaired people. Using Indian Sign Language (ISL) interpretation system, hearing impaired people may interact with normal people with the help of Human Computer Interaction (HCI). This paper presents a method for automatic recognition of two-handed signs of Indian Sign…
Descriptors: Sign Language, Artificial Intelligence, Communication (Thought Transfer), Deafness
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Silbaugh, Michael W.; Barker, David B.; Arghode, Vishal – Leadership and Policy in Schools, 2023
We tested an emotional labor (EL) model, in the form of surface acting and deep acting, as a mediator in the relationship between emotional intelligence (EI) and burnout as experienced by public school principals. A questionnaire survey of public-school principals in a Pennsylvania County was used to collect data. Data was analyzed using…
Descriptors: Emotional Intelligence, Psychological Patterns, Burnout, Principals
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Yetisensoy, Okan; Rapoport, Anatoli – Journal of Pedagogical Research, 2023
The increasing role of artificial intelligence (AI) in daily life has led to the emergence of numerous skill sets associated with AI. AI literacy, which is becoming an important citizenship competence, has become a skill that has gained importance in recent years. It is thought that the aim of social studies to prepare students as active citizens…
Descriptors: Artificial Intelligence, Multiple Literacies, Social Studies, Relationship
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Zayet, Tasnim M. A.; Ismail, Maizatul Akmar; Almadi, Sara H. S.; Zawia, Jamallah Mohammed Hussein; Mohamad Nor, Azmawaty – Education and Information Technologies, 2023
Online learning has significantly expanded along with the spread of the coronavirus disease (COVID-19). Personalization becomes an essential component of learning systems due to students' different learning styles and abilities. Recommending materials that meet the needs and are tailored to learners' styles and abilities is necessary to ensure a…
Descriptors: Electronic Learning, Individualized Instruction, Artificial Intelligence, Cognitive Style
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Gurbuzoglu-Yalmanci, Sibel; Aydin-Beytur, Solmaz – Journal of Education in Science, Environment and Health, 2023
The purpose of this study is to compare the attitudes of Turkmenistanian and Turkish university students towards environmental ethics approaches and their naturalistic intelligence (NI) field. In addition, it was investigated whether there is a gender difference in environmental ethics levels in both countries students'. Environmental Ethics…
Descriptors: Foreign Countries, Student Attitudes, College Students, Ethics
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Micheal M. van Wyk; Michael Agyemang Adarkwah; Samuel Amponsah – Open Praxis, 2023
The launch of ChatGPT has been revolutionary. This AI chatbot can produce conversations which are indistinguishable from that of humans. This exploratory qualitative study is foregrounded in a constructivist-interpretative perspective. The principal objective of this paper is to explore the views of academics on ChatGPT as an AI-based learning…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, Learning Strategies
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Jacqueline Dietzel; Jan Philipp Röer; Sarah Vetterlein; Axel Schölmerich; Dominik T. Schneider; Nina Gawehn – SAGE Open, 2023
Prematurity is a particular challenge for parents that severely affects the interaction and relationship dynamics between children and their caregivers. Previous studies mostly focused on the infancy of preterms but did not examine the development process. This study highlights whether preterm children and their main caregivers still differ in…
Descriptors: Preschool Children, Emotional Intelligence, Caregiver Child Relationship, Transitional Programs
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Deniz Arslan; Ömer Faruk Tamul; Murat Dogan Sahin; Ugur Sak – Journal of Pedagogical Research, 2023
An examination of gender-related differential item functioning was conducted on the verbal subtests of the Anadolu-Sak Intelligence Scale. Analyses were conducted using the scale standardization data (N = 4641). A Mantel-Haenszel statistic was used to detect differential item functioning (DIF). A total of 58 verbal analogical reasoning items, 20…
Descriptors: Foreign Countries, Intelligence Tests, Gender Bias, Gender Differences
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Gerd Kortemeyer – Physical Review Physics Education Research, 2023
Solving problems is crucial for learning physics, and not only final solutions but also their derivations are important. Grading these derivations is labor intensive, as it generally involves human evaluation of handwritten work. AI tools have not been an alternative, since even for short answers, they needed specific training for each problem or…
Descriptors: Artificial Intelligence, Problem Solving, Physics, Introductory Courses
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Nomsa Zindela – International Journal of Education and Development using Information and Communication Technology, 2023
This study explores syntactic and lexical complexity in argumentative essays written by Artificial Intelligence (AI) and Humans (HS). First year Tswana second language (L2) learners of English in a South African University wrote the HS argumentative essays. The AI essays have been generated by ChatGPT-3.5 on the same topics. Using a…
Descriptors: Difficulty Level, Syntax, Vocabulary, Artificial Intelligence
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Yaw Marfo Missah; Fuseini Inusah; Ussiph Najim; Frimpong Twum – SAGE Open, 2023
The major challenge of most basic schools is inadequate educational resources despite a conscious effort to constantly provide. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy.…
Descriptors: Mathematical Models, Information Management, Educational Resources, Artificial Intelligence
Iwao, Kimberly Koide – ProQuest LLC, 2023
Gamification in the corporate world is a multi-billion-dollar industry and is being applied to employee training with the intention of increasing learner performance, engagement, and motivation. There is no set formula for incorporating gamification elements into the corporate environment, as the success of utilizing them depends on the context…
Descriptors: Corporate Education, Employees, Motivation, Gamification
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Alberto Giretti; Dilan Durmus; Massimo Vaccarini; Matteo Zambelli; Andrea Guidi; Franco Ripa di Meana – International Association for Development of the Information Society, 2023
This paper provides a possible strategy for integrating large language artificial intelligence models (LLMs) in supporting students' education in artistic or design activities. We outline the methodological foundations concerning the integration of CHATGPT LLM in the educational approach aimed at enhancing artistic conception and design ideation.…
Descriptors: Art Education, Design, Artificial Intelligence, Computer Software
Johns-Smith, Dollette – ProQuest LLC, 2023
Management of a classroom setting requires multiple techniques and strategies to be effective. The purpose of this quantitative correlational-predictive study is to examine the relationship between emotional intelligence, age, employee engagement, and classroom discipline management of K-12 teachers in Northeastern Pennsylvania. This study's…
Descriptors: Correlation, Classroom Techniques, Emotional Intelligence, Teacher Student Relationship
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