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Jacqueline Diaz-Mewes – ProQuest LLC, 2024
The purpose of this mixed-methods case study was to understand how current and former early childhood and elementary school teachers and administrators at a multiple intelligence (MI) school in St. Louis, Missouri, viewed the feasibility and impact of applying MI theory in lesson planning and their perceptions of the assistance of educational…
Descriptors: Early Childhood Education, Early Childhood Teachers, Elementary School Teachers, Teacher Attitudes
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Carol Johnson; Walcir Cardoso – CALICO Journal, 2024
Writing involves more than attention to form (e.g., orthography, grammar), since it requires attention to text type, content, and genre. However, most students of English as a second language (L2) tend to prioritize linguistic accuracy in their writing, to the detriment of the content of their texts. Automatic speech recognition (ASR) has the…
Descriptors: Foreign Countries, English (Second Language), Writing (Composition), Augmentative and Alternative Communication
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M. Alice Shillingsburg; Brittany Bartlett; Taylor Thompson; Courtney McCracken; Lawrence Scahill – Journal of Developmental and Physical Disabilities, 2024
Children with autism spectrum disorder (ASD) who are also minimally verbal may require specialized interventions to promote the development of vocalizations. Preliminary research supports an innovative procedure called response contingent stimulus-stimulus pairing (SSP) as a potentially effective procedure to promote vocalizations. The primary aim…
Descriptors: Autism Spectrum Disorders, Stimuli, Communication Disorders, Child Development
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David Baidoo-Anu; Daniel Asamoah; Isaac Amoako; Inuusah Mahama – Discover Education, 2024
This study examined the perspectives of Ghanaian higher education students on the use of ChatGPT. The Students' ChatGPT Experiences Scale (SCES) was developed and validated to evaluate students' perspectives of ChatGPT as a learning tool. A total of 277 students from universities and colleges participated in the study. Through exploratory factor…
Descriptors: Student Attitudes, Artificial Intelligence, Higher Education, Foreign Countries
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Tobias Alexander Bang Tretow-Fish; Bjarke Lindsø Andersen; Thilde Emilie Møller; Anne-Mette Nortvig – Journal of Learning Development in Higher Education, 2024
This article presents findings from a research project that aimed to replace physical books with an adaptive learning platform, Area9 Rhapsode™, for nursing students' class preparation. As the project expanded, it became evident that students employed diverse preparation practices, prompting an investigation into their preparation habits. This is…
Descriptors: Foreign Countries, Study Habits, Nursing Education, Student Attitudes
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Na Yuan – Journal of Computer Assisted Learning, 2024
Background: In the modern music industry, AI music generators have gained particular importance. The use of AI greatly simplifies the creation of polyphony. In addition, it can increase student motivation and interest. Aims: This study focuses on the AI-assisted creation of polyphonic music. The purpose of this study is to determine how creating…
Descriptors: Artificial Intelligence, Motivation Techniques, Music Education, Technology Uses in Education
Britni Cassidy-Rice – ProQuest LLC, 2024
The purpose of this study is to explore teachers' experiences promoting equity and building student-teacher relationships in K-12 online and virtual classrooms. Research studies exploring and addressing equity in education are ample within the body of research, but there is limited research conducted in or about the K-12 virtual learning…
Descriptors: Equal Education, Teacher Student Relationship, Elementary Secondary Education, Online Courses
Jeffrey J. Richardson – ProQuest LLC, 2024
Background: Previous research has indicated that it is difficult to maintain student motivation in gateway courses when students from multiple majors are taking the same course. Providing students with a choice in assignment is important because it creates a feeling that the students are in charge of their education, that they can tailor their…
Descriptors: Self Determination, Undergraduate Students, Undergraduate Study, Introductory Courses
West Virginia Department of Education, 2024
The purpose of this Executive Summary and the full report is to summarize the results and technical analyses performed with the Spring 2024 "Artificial Intelligence in Education: West Virginia Stakeholder Survey", which was used to collect stakeholder feedback related to perceptions of using artificial intelligence (AI) in education. The…
Descriptors: Artificial Intelligence, Technology Uses in Education, Stakeholders, Public Education
Sierra Noakes; Alison Shell; Parker Van Nostrand; Alexis M. Murillo; Pati Ruiz; Babe Liberman – Digital Promise, 2024
This report discusses findings based on responses to a request for information (RFI) led by the Bill & Melinda Gates Foundation and Digital Promise, which received nearly 200 responses that described a variety of innovative approaches to leveraging artificial intelligence (AI) for mathematics teaching and learning. As AI becomes increasingly…
Descriptors: Artificial Intelligence, Educational Innovation, Mathematics Instruction, Technology Uses in Education
Grey House Publishing, 2024
Careful research and compilation of the best data available has earned "The Complete Resource Guide for People with Disabilities" the honor of being a repeat recipient of the National Mature Media Award and the National Health Information Award, as well as being a go-to resource among educators, librarians and the disability community.…
Descriptors: Disabilities, Independent Living, Resources, Information Sources
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Anne C. Willkomm – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Artificial intelligence is a tool that has expanded exponentially since it became available to the public. It will disrupt industry and higher education. While many faculty have concerns about the impact of AI, professional staff members are using AI at a higher rate than their faculty peers. In specific administrative areas, the use of AI will…
Descriptors: Artificial Intelligence, Multiple Literacies, Ethics, Responsibility
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Hinadi Akbar; Mohammad Anas – Learning Organization, 2024
Purpose: This study aims to examine the influence of the talent management (TM) process on employee ambidexterity (EA) and the moderating role of learning organizations in Indian IT and ITes organizations. Design/methodology/approach: The study is descriptive and based on empirical data from 390 IT and ITES employees from India. Data were…
Descriptors: Foreign Countries, Organizational Learning, Indians, Employees
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Sajid Manzoor; Zamir Ahmed – Pakistan Journal of Distance and Online Learning, 2024
The study focused on understanding the different patterns of Facebook usage among university students and its impact on their academic performance. It was examined that to what extent Facebook consumption influenced the students' educational performance. "Uses and Gratifications" a theoretical framework was used to analyze consumption…
Descriptors: Social Media, Pattern Recognition, Performance, Influence of Technology
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Pejman Ghasemi Poor Sabet; Shen Zhan; Milad Baghalzadeh Shishehgarkhaneh – Education Research and Perspectives, 2024
Artificial intelligence (AI) is transforming multiple facets of the competitive business world and education. Despite this, the full potential of AI applications within education remains unclear because of the lack of a comprehensive framework on how to use AI in developing assessments across various academic disciplines. While incorporating AI…
Descriptors: Artificial Intelligence, Test Construction, Engineering Education, Technology Uses in Education
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