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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
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
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
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
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
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
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
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
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
Nayak, Padmalaya; Vaheed, Sk.; Gupta, Surbhi; Mohan, Neeraj – Education and Information Technologies, 2023
Students' academic performance prediction is one of the most important applications of Educational Data Mining (EDM) that helps to improve the quality of the education process. The attainment of student outcomes in an Outcome-based Education (OBE) system adds invaluable rewards to facilitate corrective measures to the learning processes.…
Descriptors: Predictor Variables, Academic Achievement, Data Collection, Information Retrieval
Fang, Xiaoxuan; Ng, Davy Tsz Kit; Leung, Jac Ka Lok; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
With the digital revolution of artificial intelligence (AI) in language education, the way how people write and create stories has been transformed in recent years. Although recent studies have started to examine the roles of AI in literacy, there is a lack of systematic review to inform how it has been applied and what has been achieved in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing (Composition), Story Telling
Bae, Haesol; Feng, Chen; Glazewski, Krista; Hmelo-Silver, Cindy E.; Chen, Yuxin; Mott, Bradford W.; Lee, Seung Y.; Lester, James C. – TechTrends: Linking Research and Practice to Improve Learning, 2023
Because implementing and orchestrating collaborative problem-based learning (PBL) in K-12 classrooms requires teachers to manage multiple activities and access various teaching resources at the same time, this is an exceptionally complex task for designers to develop tools for orchestration support as well as for teachers to coordinate. The aim of…
Descriptors: Cooperative Learning, Problem Based Learning, Elementary Secondary Education, Teacher Attitudes
Moravec, John W.; Martínez-Bravo, María Cristina – On the Horizon, 2023
Purpose: The purpose of this study is to identify global trends in disruptive technological change and map the social and policy implications, particularly as they relate to the educational ecosystem and main stakeholders across all levels of education. Design/methodology/approach: The authors conducted a two-stage meta-analysis of 1,155…
Descriptors: Educational Trends, Global Approach, Educational Policy, Influence of Technology
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Technology Systems, 2023
This research presents a proposed approach that could be applied in modeling students' study strategies and performance in higher education. The research used key learning attributes, including intrinsic motivation, extrinsic motivation, autonomy, relatedness, competence, and self-esteem in the modeling. Five machine learning models were…
Descriptors: Student Motivation, Learner Engagement, Undergraduate Students, Learning Strategies
Ziyi Zhang – ProQuest LLC, 2023
As artificial intelligence (AI) plays a more prominent role in our everyday lives, it becomes increasingly important to introduce basic AI concepts to K-12 students. Currently, most K-12 AI research focuses on introducing fundamental AI concepts using pure virtual platforms like webpages or software. However, robots, as helpful and popular tools…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Educational Technology, Robotics