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Vera Cubero – State Education Standard, 2024
Recognizing generative artificial intelligence (AI) as an "arrival technology"--one that has permeated K-12 classrooms and homes with or without schools' officially adopting it--the North Carolina Department of Public Instruction (NCDPI) developed guidelines in 2023 for responsible implementation in schools under the direction of Dr.…
Descriptors: Artificial Intelligence, Guidelines, Technology Uses in Education, Information Literacy
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Rashid, M. Parvez; Xiao, Yunkai; Gehringer, Edward F. – International Educational Data Mining Society, 2022
Peer assessment can be a more effective pedagogical method when reviewers provide quality feedback. But what makes feedback helpful to reviewees? Other studies have identified quality feedback as focusing on detecting problems, providing suggestions, or pointing out where changes need to be made. However, it is important to seek students'…
Descriptors: Peer Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
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Guth, Douglas J. – Community College Journal, 2022
Digital technologies are an integral facet of human existence, changing how humans find information, the way humans communicate and even human behavior. This transition applies to education as well, with the continued growth of artificial intelligence (AI) reshaping the higher education landscape at two- and four-year institutions alike. AI is…
Descriptors: Community Colleges, Artificial Intelligence, Computer Science Education, Labor Force Development
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Oxendine, Symphony D.; Robinson, Kerry K.; Parker, Michele A. – To Improve the Academy, 2022
This article outlines an appreciative inquiry (AI) into a departmental professional development process and describes the resulting implementation of an appreciative peer evaluation meeting as one part of the new professional development process. Using AI, a departmental faculty development committee sought to re-envision the professional…
Descriptors: Departments, Faculty Development, Teacher Evaluation, Peer Evaluation
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Mingyu Feng; Neil Heffernan; Kelly Collins; Cristina Heffernan; Robert F. Murphy – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology,…
Descriptors: Homework, Artificial Intelligence, Computer Assisted Instruction, Feedback (Response)
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Sean J. Smith; Amber Rowland; Samantha Goldman; Adam Carreon – Journal of Special Education Leadership, 2024
The purpose of this qualitative study was to understand, from the perspective of students with disabilities, what special education leaders and their respective classroom educators should consider in the integration of artificial intelligence (AI) features and tools to support individualized instruction. This study utilized an immersive and…
Descriptors: Special Education, Leaders, Artificial Intelligence, Technology Uses in Education
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Bastiaens, Theo, Ed. – Association for the Advancement of Computing in Education, 2018
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. "EdMedia + Innovate Learning: World Conference on Educational Media and…
Descriptors: Educational Technology, Technology Uses in Education, Open Educational Resources, Higher Education
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Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries