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Wessam Tarek Refat – ProQuest LLC, 2023
Effective teachers continue to be in demand in the workforce. Schools and universities need professional teachers who show passion for their jobs and high work performance. This research will investigate the association among teachers' age, gender, tenure, emotional intelligence (EI) scores, perception of emotional intelligence application in…
Descriptors: Foreign Countries, Teacher Characteristics, Emotional Intelligence, Age Differences
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
Brenna Griffen – ProQuest LLC, 2023
Identifying preferred stimuli is an initial step in many evidence-based educational programs for young children. Preference assessments, such as the Multiple Stimulus Without Replacement (MSWO), provide an empirically validated way of identifying and ranking these stimuli. Traditional methods of training professionals to implement MSWO often…
Descriptors: Artificial Intelligence, Educational Technology, College Students, Speech Language Pathology
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Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
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Khamisi Kalegele – International Journal of Education and Development using Information and Communication Technology, 2023
Pragmatically, machine learning techniques can improve educators' capacity to monitor students' learning progress when applied to quality data. For developing countries, the major obstacle has been the unavailability of quality data that fits the purpose. This is partly because the in-use information systems are either not properly managed or not…
Descriptors: Artificial Intelligence, Learning Management Systems, Progress Monitoring, Data Use
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Terzian, Sevan G.; Wright, Sage – American Educational History Journal, 2023
Histories of creativity have often included discussions of its origins and examined pivotal moments in their societal contexts (Nelson 2010; Simonton 2001; Still & d'Inverno 2016; Wasserman 2012). Some have considered creativity's compromised status among academics and in schools that resulted from divergent notions of what it means to create…
Descriptors: Educational History, Modern History, Educational Objectives, Social Values
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William Cain – Journal of Interactive Learning Research, 2023
As education, technology, and society become ever more intertwined with emerging forms of artificial intelligence (AI), the need to comprehend the potential consequences of its integration has reached a critical juncture. This study seeks to address this need by exploring emerging, formative tensions in the integration of AI in educational…
Descriptors: Artificial Intelligence, Technology Integration, Ethics, Data
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Antony, Soniya; Ramnath, R. – IAFOR Journal of Education, 2023
This study examines the impact of AI chatbots as a communication medium on student engagement and support in higher education. The qualitative method and Interpretative Phenomenological Analysis (IPA) were employed as the research approach, utilizing in-depth semi-structured interviews. Purposive sampling was used to select 11 participants from…
Descriptors: Artificial Intelligence, Technology Uses in Education, Databases, Learner Engagement
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Stephanie A. Borrie; Taylor J. Hepworth; Camille J. Wynn; Katherine C. Hustad; Tyson S. Barrett; Kaitlin L. Lansford – Journal of Speech, Language, and Hearing Research, 2023
Purpose: As evidenced by perceptual learning studies involving adult listeners and speakers with dysarthria, adaptation to dysarthric speech is driven by signal predictability (speaker property) and a flexible speech perception system (listener property). Here, we extend adaptation investigations to adolescent populations and examine whether adult…
Descriptors: Perceptual Motor Learning, Learning Processes, Articulation Impairments, Adolescents
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Belle Li; Curtis J. Bonk; Xiaojing Kou – International Journal of Computer-Assisted Language Learning and Teaching, 2023
ChatGPT's ability to realistically mimic human conversation and its high level of ability to handle linguistic ambiguity opens new and exciting avenues in language learning. Building upon the technical affordances of ChatGPT, this study explores the perceptions of educational affordances when incorporating ChatGPT across languages discussed by…
Descriptors: Language Acquisition, Second Language Learning, Artificial Intelligence, Audiovisual Aids
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Neil Kramm; Sioux McKenna – Teaching in Higher Education, 2023
The dominant response within higher education to the emergence of free online text- and graphic-generating software has been a concern with identifying AI usage in students' work. We argue that this is both a waste of time and neglects our educational responsibilities. A police-catch-punish approach to AI, as with the use of this process in…
Descriptors: Artificial Intelligence, Higher Education, Plagiarism, Learning Experience
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Eman A. Alasadi; Carlos R. Baiz – Journal of Chemical Education, 2023
In this article, we discuss the role of generative artificial intelligence (AI) in education. The integration of AI in education has sparked a paradigm shift in teaching and learning, presenting both unparalleled opportunities and complex challenges. This paper explores critical aspects of implementing AI in education to advance educational goals,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Goal Orientation, Ethics
Michael Martin; Katherine Hartmann; Shannon Archibeque-Engle – Journal of Agricultural Education, 2023
The "FFA for All" campaign from the National FFA Organization represents an important step for diversity, equity, and inclusivity in the youth organization. The challenge of making the FFA more inclusive for diverse students presents question for investigation. What elements within the FFA represented barriers to people of color from…
Descriptors: Inclusion, Youth, Barriers, Whites
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Shim, Kyong Jin; Menkhoff, Thomas; Teo, Lydia Ying Qian; Ong, Clement Shi Qi – Education and Information Technologies, 2023
In this paper, we empirically examine and assess the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students enrolled in an elective course "Doing Business with A.I." in the Lee Kong Chian School of Business (LKCSB) at Singapore Management University. The chatbot workshop provides…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Workshops, Experiential Learning
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