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Omar Shere Johnson – ProQuest LLC, 2020
The experiences of a child in the foster care system rely heavily on the preparedness of the foster parent. For decades, researchers and practitioners have written about the challenges that foster children face while in the foster care system and discussed ways to assist them. This research discusses another way to improve the preparedness of a…
Descriptors: Foster Care, Parents, Emotional Intelligence, Parenting Skills
El Banna, Adel El Saied – International Journal of Psycho-Educational Sciences, 2019
This study was conducted to investigate the effectiveness of multiple intelligences training program on reading comprehension skills of reading disabled primary six students. Pre-test / Post-test / follow-up test were formed to collect data from the students. 60 students participated in the present study. Each student participant met the following…
Descriptors: Program Effectiveness, Multiple Intelligences, Reading Comprehension, Elementary School Students
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Doug Ward; Heidi G. Loshbaugh; Alison L. Gibbs; Tim Henkel; Greg Siering; Jim Williamson; Mark Kayser – Change: The Magazine of Higher Learning, 2024
In this article, the authors posit that generative artificial intelligence offers universities an opportunity to make long-needed structural changes in teaching and learning. Given the complexities of generative AI, faculty need time and resources to learn to use it effectively and to adapt classes in ways that help students approach AI ethically…
Descriptors: Artificial Intelligence, Faculty, Digital Literacy, Ethics
Region 17 Comprehensive Center, 2024
Goals and policy related to artificial intelligence (AI) will focus on improving learning for each learner. State Education Agencies (SEAs) must determine how to begin the journey to this outcome. The steps in this report outline in depth the first steps SEAs can take to begin development of an AI-related vision and strategic objectives that will…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Policy
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Oscar Yecid Aparicio-Gómez; Olga Lucia Ostos-Ortiz; Constanza Abadía-García – Journal of Technology and Science Education, 2024
In today's educational environment, the convergence of emerging technologies and active methodologies has become a fundamental driver of change in university education. Emerging technologies, such as artificial intelligence, virtual reality, machine learning, and data analytics, are redefining the dynamics of higher education. Active…
Descriptors: Technological Advancement, Technology Uses in Education, Higher Education, Problem Based Learning
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Geoff Woolcott; Robert Whannell; Margaret Marshman; Linda Galligan; Tony Yeigh; Taryn Axelsen – Asia-Pacific Journal of Teacher Education, 2024
The performance of pre-service teachers (PSTs) is generally assessed during practicum by supervising teachers or observers who may provide subjectively different evaluations known to lack reliability and validity. This article examines a way to shift the evaluative emphasis to use of affective-reflective skills through use of a protocol that also…
Descriptors: Preservice Teachers, Emotional Intelligence, Reflection, Student Evaluation
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Patric R. Spence; Renee Kaufmann; Kenneth A. Lachlan; Xialing Lin; Stephen A. Spates – Communication Education, 2024
As technologies such as artificial intelligence (AI) and other forms of machine communication become more popular and readily available, the opportunities for use in an online class increase. This replication and extension sought to understand and test the use of AI versus human communication in an online learning space--specifically the learning…
Descriptors: Online Courses, Artificial Intelligence, Technology Uses in Education, Electronic Learning
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Dan Sun; Azzeddine Boudouaia; Chengcong Zhu; Yan Li – International Journal of Educational Technology in Higher Education, 2024
ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of ChatGPT on learners' programming processes. This…
Descriptors: Computer Science Education, Computer Software, Feedback (Response), Artificial Intelligence
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S.J. Shi; J.W. Li; R. Zhang – Asia Pacific Journal of Education, 2024
The rapid advancement of Generative Artificial Intelligence Technology has increasingly drawn attention to its potential applications in the educational sector. This study aims to investigate the effects of Situational Interactive Teaching, facilitated by generative artificial intelligence, on students' learning outcomes and flow experiences. A…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Teaching Methods
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Steve Graham; Stephen Ciullo; Alyson Collins – Journal of Learning Disabilities, 2024
Seventy-five general and 65 special education teachers working in the same 65 elementary schools in 12 different U.S. school districts were surveyed about their mindsets concerning the malleability of writing and intelligence as well as their practices for teaching writing. All teachers taught writing to one or more fourth-grade students receiving…
Descriptors: Regular and Special Education Relationship, Elementary School Teachers, Writing Processes, Writing (Composition)
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Weipeng Yang; Xinyun Hu; Ibrahim H. Yeter; Jiahong Su; Yuqin Yang; John Chi-Kin Lee – Journal of Computer Assisted Learning, 2024
Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Digital Literacy
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Guan-Yu Lin; Ciao-Chun Jhang; Yi-Shun Wang – Education and Information Technologies, 2024
The use of AI-based social robots has been shown to be beneficial for learning English as a Second Language (ESL). Not much is known, however, about the drivers of parental intention to use those robots in support of their children's ESL learning. This study aims to explore the factors that drive parental intention to adopt AI-based social robots…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Taylor M. Shockey; Sharon R. Silver; Amanda Wilmot – Journal of School Health, 2024
Background: While more than 2.5 million U.S. high students worked in 2020, data to assess how work affects this group are sparse. To facilitate such research, a set of occupational safety and health questions for inclusion on the Youth Risk Behavior Surveillance System (YRBSS) and other youth-focused surveys was developed. Methods: Survey…
Descriptors: Intelligence Tests, Occupational Safety and Health, High School Students, National Surveys
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Andie Tangonan Capinding; Franklin Tubeje Dumayas – Problems of Education in the 21st Century, 2024
Artificial Intelligence (AI) has become a transformative force in education, significantly influencing students. This research explores AI's impact on learning experiences, academic performance, career guidance, motivation, self-reliance, social interaction, and AI dependency. Utilizing a descriptive-comparative design, 194 student respondents…
Descriptors: Transformative Learning, Teaching Methods, Artificial Intelligence, Influence of Technology
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Zeynep Turan; Rabia Meryem Yilmaz – Journal of Engineering Education, 2024
Background: Massive open online courses (MOOCs) have gained popularity as a form of distance education, highlighting the need for additional research. Various studies have systematically examined scholarly research on MOOCs. However, the reviewed academic publications on the use of MOOCs in engineering education are limited.…
Descriptors: MOOCs, Engineering Education, Distance Education, Program Implementation
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