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Isabel Fischer; Kerry Dobbins – Journal of Management Education, 2024
At a time when emerging technologies increasingly transform the workplace and society overall, management educators seem reluctant to fully embrace emerging transformative technologies in their teaching. In this conceptual essay, we argue that this reluctance stems from paradoxical tensions of identity of management educators and students. The…
Descriptors: Business Administration Education, Administrator Education, Technology Uses in Education, College Faculty
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Julio-César Mateus; Nohemi Lugo; Giancarlo Cappello; Mar Guerrero-Pico – Digital Education Review, 2024
This research explores university educators' perspectives on the opportunities, concerns, and considerations associated with Generative Artificial Intelligence (GenAI) in the training of professional communicators. Positioned at the early stages of ChatGPT's integration into educational settings, the study examines teachers' assignment…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Faculty, Teacher Attitudes
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Kamal Parhoon; Frederick L. Coolidge; Hamid Alizadeh; Hadi Parhoon; Apeksha Srivastava – International Journal of School & Educational Psychology, 2024
Objective: This study investigated the effect of Cognitive Rehabilitation Training (CRT) on executive functions, problem solving, and attention in students with a specific learning disorder (SLD). Method: Forty-two SLD students from the third to sixth grade (8-12 years old) were randomly assigned to 16 sessions of CRT (n = 21) or to a control (n =…
Descriptors: Foreign Countries, Intelligence Tests, Cognitive Restructuring, Grade 3
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Isabel Pont-Niclòs; Yolanda Echegoyen-Sanz; Patricia Orozco-Gómez; Antonio Martín-Expeleta – Digital Education Review, 2024
Artificial Intelligence (AI) brings enormous opportunities into learning, teaching, and assessment processes. Among them, it is convenient to explore its ability to channel students' creativity, which is described as a basic competence in the training of people with both the OECD and the recent Spanish LOMLOE law pointing to the need to foster it…
Descriptors: Artificial Intelligence, Creativity, Preservice Teachers, Elementary School Teachers
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John R. Haughery – IEEE Transactions on Education, 2024
Contribution: This study qualitatively uncovered meaning for why and what was motivating to undergraduates participating in an educational human-robot interaction (HRI) experience. A data corpus of four documents (groups) was evaluated from a quasi-experimental, nonequivalent control (n = 23) and treatment (n = 61) research design revealing three…
Descriptors: Undergraduate Students, Engineering Education, Man Machine Systems, Robotics
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Han Zhang; Yilang Peng – Sociological Methods & Research, 2024
Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…
Descriptors: Social Science Research, Visual Aids, Visual Learning, Cluster Grouping
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Jiaojiao Wang; Yan Wang; Nan Zhu; Jia Qiu – International Journal of Developmental Disabilities, 2024
Based on the Job Demands-Resources theory, this research investigated the multiple mediating role of special education teachers' social support and work engagement in the relationship between their emotional intelligence and job performance. Data of 710 Chinese mainland teachers in special education schools were analyzed. The results showed that…
Descriptors: Special Education, Special Education Teachers, Teacher Characteristics, Emotional Intelligence
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Meredith King – Research Issues in Contemporary Education, 2024
This position paper introduces the idea of cognicy, the foundational ability to think and understand in a process that decouples cognitive processes from their tangible outcomes. Generative artificial intelligence (AI) can produce output often nearly indistinguishable from a human product, which presents a problem for educational assessment.…
Descriptors: Cognitive Processes, Artificial Intelligence, Metacognition, Individual Characteristics
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Max Chen; Yichen Li; Hilson Shrestha; Noe¨lle Rakotondravony; Andrew Teixeira; Lane Harrison; Robert E. Dempski – Journal of Chemical Education, 2024
Industrial and academic laboratories are undergoing a paradigm shift in process technology from batch to modular flow. Implementation of modular flow processes can enable more efficient operation with superior throughput, scalability, and safety factors owing to superior transport and reaction kinetics. However, both fine chemical and…
Descriptors: Chemical Engineering, Chemistry, Undergraduate Students, Science Instruction
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Nicole Naibert; Suazette R. Mooring; Jack Barbera – Journal of Chemical Education, 2024
Students' view of intelligence (i.e., their mindset beliefs) has been found to be related to their self-efficacy and goal orientations as well as to influence their course outcomes. Comparisons of students' chemistry mindset between different groups found that organic chemistry I students held more of a growth mindset than general chemistry I…
Descriptors: Student Attitudes, Chemistry, Self Efficacy, Goal Orientation
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Quincy Q. Wang; Daniel Chang; Shiva Hajian; Michael Pin-Chuan Lin – AERA Online Paper Repository, 2024
An increasing number of students have been adopting AI technology for more personalized learning experiences. This exploratory study investigates the perceptions of 55 undergraduate students regarding the integration of ChatGPT into their learning. Several current perspectives on ChatGPT have focused on academic integrity and its ethical use.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Undergraduate Students
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Dunia Garrido; Gloria Carballo – Journal of Child Language, 2024
This study examines receptive-expressive language, gross-fine motor skills, and IQ abilities in 78 children, 43 children with an older sibling with autism spectrum disorder (Sibs-ASD) and 35 children with an older sibling with typical development, ranging from 4 to 11 years of age. Depending on age, both groups were divided in preschool and school…
Descriptors: Receptive Language, Expressive Language, Psychomotor Skills, Intelligence Quotient
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David Joyner, Editor; Benjamin Paaßen, Editor; Carrie Demmans Epp, Editor – International Educational Data Mining Society, 2024
The Georgia Institute of Technology is proud to host the seventeenth International Conference on Educational Data Mining (EDM) in Atlanta, Georgia, July 14-July 17, 2024. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New tools, new prospects, new risks--educational data…
Descriptors: Data Analysis, Pattern Recognition, Technology Uses in Education, Artificial Intelligence
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Fernando Martinez; Gary M. Weiss; Miguel Palma; Haoran Xue; Alexander Borelli; Yijun Zhao – International Educational Data Mining Society, 2024
Large Language Models (LLMs) have prompted widespread application across diverse domains. In some applications, human-like quality in output is essential for optimal user experience and credibility. This is particularly evident in applications such as Chatbots. Conversely, concerns arise regarding LLM use in contexts where human authenticity is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Natural Language Processing
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Owen Henkel; Zach Levoninan; Millie-Ellen Postle; Chenglu Li – International Educational Data Mining Society, 2024
For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process--including interactive QA to support conceptual discussion of mathematical…
Descriptors: Middle School Mathematics, Questioning Techniques, Algebra, Geometry
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