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Aliabadi, Roozbeh – ProQuest LLC, 2023
Artificial intelligence (AI) education in kindergarten through high school (K-12) is advancing in many countries, including the United States. The purpose of this research has been to better understand the impact of participation in an AI course on the sixth, seventh, and eighth-grade students' overall interest, career interest in AI, and…
Descriptors: Artificial Intelligence, Grade 6, Grade 7, Grade 8
Yamaguchi, Akiko – ProQuest LLC, 2023
The topic of emotional intelligence has garnered much attention from professionals in the business field as a crucial skill for employees to differentiate themselves in an increasingly automated environment. The ability to demonstrate leadership skills and collaborate effectively with others is essential, especially for new professionals. However,…
Descriptors: Undergraduate Students, Student Leadership, Business Administration Education, Emotional Intelligence
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Rochanavibhata, Sirada; Marian, Viorica – Journal of Cognition and Development, 2023
The present study examined how culture and gender influence the self-construal of mothers and their four-year-olds during dyadic reminiscing. Participants were 21 Thai (11 girls, 10 boys) and 21 American (10 girls, 11 boys) mother-child dyads. Thai dyads exhibited a more interdependent self-construal, whereas American dyads exhibited a more…
Descriptors: Mothers, Foreign Countries, Preschool Children, Interpersonal Communication
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Barrett, Alex; Pack, Austin – International Journal of Educational Technology in Higher Education, 2023
Generative artificial intelligence (GenAI) can be used to author academic texts at a similar level to what humans are capable of, causing concern about its misuse in education. Addressing the role of GenAI in teaching and learning has become an urgent task. This study reports the results of a survey comparing educators' (n = 68) and university…
Descriptors: Artificial Intelligence, Writing (Composition), Writing Processes, Teacher Attitudes
Jessica Adams-Grigorieff – ProQuest LLC, 2023
With recent advances in generative artificial intelligence, it may come as no surprise that AI influences our society in profound ways. This dissertation project examines how educational and social media platforms and their algorithms shape educational practices and the identity, digital literacies and views of middle school youth participants.…
Descriptors: Digital Literacy, Critical Literacy, Algorithms, Artificial Intelligence
Kristine Zlatkovic – ProQuest LLC, 2023
New forms of visualizations are transforming how people interact with data. This dissertation explored how undergraduates learn with infographics. The following questions guided this research: (i) What do we know about the factors influencing the processing of data visualizations? (ii) How do task-level and learner-level characteristics impact the…
Descriptors: Task Analysis, Student Characteristics, Visual Aids, Comprehension
Jing Liu; Megan Kuhfeld; Monica Lee – Annenberg Institute for School Reform at Brown University, 2023
Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…
Descriptors: Student Behavior, Predictor Variables, Predictive Validity, Academic Achievement
Mahboba Lyla Kohistany – ProQuest LLC, 2023
This study investigated the impact of learning about cultural intelligence (CQ) from senior U.S. Army Special Forces leaders (Group Commanders and Group Command Sergeants Major) on aspiring Special Forces Captains (students) at the Captains Career Course. Three research questions addressed the influence of senior leader interventions on students'…
Descriptors: Military Personnel, Military Training, Armed Forces, Cultural Awareness
Keri M. Madsen; Lindsey A. Peters-Sanders; Elizabeth Spencer Kelley; R. Michael Barker; Yagmur Seven; Wendy L. Olsen; Xigrid Soto-Boykin; Howard Goldstein – Journal of Early Intervention, 2023
A cluster randomized design was used to investigate the effects of the "Story Friends" vocabulary curriculum on learning of 84 preschoolers in 24 classrooms who were at risk for language difficulties. Children in the treatment condition received explicit vocabulary instruction of 36 words during small-group storybook listening centers…
Descriptors: Language Tests, Intelligence Tests, Verbal Ability, Vocabulary
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Kornwipa Poonpon; Paiboon Manorom; Wirapong Chansanam – Contemporary Educational Technology, 2023
Automated essay scoring (AES) has become a valuable tool in educational settings, providing efficient and objective evaluations of student essays. However, the majority of AES systems have primarily focused on native English speakers, leaving a critical gap in the evaluation of non-native speakers' writing skills. This research addresses this gap…
Descriptors: Automation, Essays, Scoring, English (Second Language)
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Christiane Lingås Haukedal; Ona Bø Wie; Stefan K. Schauber; Janne von Koss Torkildsen – Journal of Speech, Language, and Hearing Research, 2023
Purpose: The purpose of this study was to examine quality of life (QOL) and its relation to language skills in children with developmental language disorder (DLD). This was examined by comparing QOL to a control group of children with typical development (TD), as well as children with cochlear implants (CIs), who potentially struggle with language…
Descriptors: Quality of Life, Language Skills, Communication Disorders, Hearing Impairments
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Andrea Bruera; Yuan Tao; Andrew Anderson; Derya Çokal; Janosch Haber; Massimo Poesio – Cognitive Science, 2023
The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…
Descriptors: Neurosciences, Brain Hemisphere Functions, Artificial Intelligence, Diagnostic Tests
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Pitso, Teboho – IAFOR Journal of Education, 2023
Institutes of higher education (IHEs) have to consider benefits of remote learning post-pandemic. Retrogression to physical contact is counterproductive. The hasty implementation of remote learning during the pandemic deprived IHEs of opportunities to efficiently enact and theorise about it. Post-pandemic, IHEs have opportunities to theorise about…
Descriptors: COVID-19, Pandemics, Distance Education, Technology Uses in Education
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Samuel Taggart; Stephen Roulston; Martin Brown; Enda Donlon; Pamela Cowan; Rachel Farrell; Allison Campbell – Australasian Journal of Educational Technology, 2023
This study examined the impact of a brief immersive experience with virtual reality (VR) on pre-service teachers' self-efficacy and attitudes towards technology in education. The study found that although pre-service teachers were aware of VR and augmented reality (AR) technologies, they lacked experience using them. The intervention had a…
Descriptors: Computer Simulation, Artificial Intelligence, Preservice Teachers, Self Efficacy
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Andrew Potter; Joshua Wilson; Rod D. Roscoe; Tracy Arner; Danielle S. McNamara – Grantee Submission, 2023
This chapter provides an overview of research in computer-based writing instruction (CBWI). CBWI may entail any type of writing instruction with computers and may refer specifically to technologies that provide computer-generated feedback and instruction. The purpose of CBWI is to support students in improving their written products and writing…
Descriptors: Computer Assisted Instruction, Writing Instruction, Feedback (Response), Writing Improvement
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