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Alberto Grájeda; Pamela Córdova; Juan Pablo Córdova; Andrés Laguna-Tapia; Johnny Burgos; Luis Rodríguez; Martín Arandia; Alberto Sanjinés – Cogent Education, 2024
This study investigates the integration of Artificial Intelligence (AI) tools within the School of Arts at a private university in Latin America, focusing on student perceptions and emotional reactions. The research addresses two primary questions: how students perceive the integration of AI tools in their educational experience, and how…
Descriptors: Art Education, Artificial Intelligence, Computer Software, Technology Uses in Education
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Dongpeng Huang; Yixuan Huang; James J. Cummings – Australasian Journal of Educational Technology, 2024
The integration of generative artificial intelligence (GenAI) into web-based individual formative e-assessments in higher education is a nascent field that warrants further exploration. This study investigated the use of GenAI within an 8-week undergraduate-level research methods course at a university in the United States of America, aiming to…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Formative Evaluation
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Fikru Gurmu; Chernet Tuge; Adula Bekele Hunde – Cogent Education, 2024
Learning geometry with conceptual understanding requires the implementation of appropriate methods that actively engage students and support them in becoming autonomous, critical thinkers, and self-directed learners. The purpose of the study was to investigate the effect of GeoGebra-supported learning on grade ten students' conceptual…
Descriptors: Geometry, Mathematics Instruction, Geometric Concepts, Concept Formation
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Ngatoiatu Rohmani; Deby Zulkarnaen; Puji Winar Cahyo – International Review of Research in Open and Distributed Learning, 2024
Nursing care is the most critical element in nursing services, which aims to improve the patient's health status. Ineffective and inefficient care documentation can impact the quality of nursing services. However, the increasingly advanced development of technology provides freedom for the health world to improve the quality of patient-centered…
Descriptors: Nursing Education, Nursing Students, Health Services, Documentation
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Wenli Tsou; Angel M. Y. Lin; Fay Chen – Language, Culture and Curriculum, 2024
This paper responds to the prevalent discourse on the 'lack of English proficiency' among EMI teachers in contexts where English is used as an additional language. It explores how AI-powered tools, particularly ChatGPT, enable EMI teachers in Taiwan to leverage their expertise and teach in English with more confidence. This study first describes…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
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A. K. Somasekhar; Arunita Tushar Jagzape; Meenakshi Sinha; Ramanjan Sinha – Advances in Physiology Education, 2024
The significance of assessment in driving learning is undeniable, particularly in oral assessments like viva voce where students express themselves verbally. However, traditional viva voce examinations' challenges include reliability, objectivity, content validity, time constraints, varying question difficulty levels, inconsistency in questioning…
Descriptors: Computer Oriented Programs, Computer Software, Formative Evaluation, Medical Students
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Sherina Dimo; Harly Israel Bandojo; Kristia Estilo; Joeven Abalayan; Michael Achas; Joseph Lobo – Journal of Educators Online, 2024
The present study intends to investigate the determinants influencing students' behavioral intention and use of Google Classroom as an instrument for enhancing the learning experience in the domain of physical education. This investigation employed the Technology Acceptance Model (TAM) as a conceptual framework. The results revealed that perceived…
Descriptors: Student Behavior, Intention, Computer Software, Physical Education
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Yishen Song; Qianta Zhu; Huaibo Wang; Qinhua Zheng – IEEE Transactions on Learning Technologies, 2024
Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…
Descriptors: Scoring, Essays, Writing Evaluation, Computer Software
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Nurdayana Mohamad Noor – Asian Association of Open Universities Journal, 2024
Purpose: The purpose of this paper is to articulate how the user experience (UX) approach was initiated and integrated into the centre's scope of operations with the objective of improving the e-learning layout on the D2L learning management system (LMS). One of the most effective ways to collect user feedback has historically been to evaluate…
Descriptors: Learning Management Systems, Usability, Computer Interfaces, Electronic Learning
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Jonathan Serfaty; Raquel Serrano – Language Learning & Technology, 2024
Digital flashcard apps allow students to learn and practice foreign language vocabulary independently and efficiently, leaving more classroom time for communicative activities. However, words learned this way may be forgotten. Previous lab studies have shown that vocabulary retrieval practice can be optimized for long-term memory by employing…
Descriptors: Computer Assisted Testing, Computer Software, Vocabulary Development, Secondary School Students
Mike Morris – ProQuest LLC, 2024
To meet the employment demands in the information technology industry, it is crucial for higher education institutions to design sustainable curricula to prepare students with the knowledge and skills needed to enter and stay competitive in an ever-changing workforce. A review of one Mid-Atlantic University's information technology programs…
Descriptors: Graduate Students, Information Technology, Computer Science Education, Computer Software
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
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Blanka Klimova; Jui Hua Chen – Language Teaching Research Quarterly, 2024
This systematic review explores the transformative role of Artificial Intelligence (AI) and Information and Communication Technologies (ICT) in enhancing intercultural communication competence (ICC) at the university level. As AI increasingly integrates into educational settings, its potential to revolutionize student learning and cultural…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Communicative Competence (Languages)
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James Davis – Journal of Teaching and Learning with Technology, 2024
This article explores an inventive approach to teaching physiology that blends the use of the Notability app on the iPad with video-based learning to visually explain intricate physiological concepts in real time. The core idea is to offer students a more dynamic and interactive way to comprehend complex physiological concepts during review…
Descriptors: Physiology, Teaching Methods, Video Technology, Computer Software
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Anastasia Tzirides; Gabriela Zapata; Patrick Bolger; Bill Cope; Mary Kalantzis; Duane Searsmith – International Journal on E-Learning, 2024
This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their…
Descriptors: Artificial Intelligence, Computer Software, Learning Experience, Feedback (Response)
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