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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
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
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
Yanping Pei; Adam Sales; Johann Gagnon-Bartsch – Grantee Submission, 2024
Randomized A/B tests within online learning platforms enable us to draw unbiased causal estimators. However, precise estimates of treatment effects can be challenging due to minimal participation, resulting in underpowered A/B tests. Recent advancements indicate that leveraging auxiliary information from detailed logs and employing design-based…
Descriptors: Randomized Controlled Trials, Learning Management Systems, Causal Models, Learning Analytics
Melanie M. Cooper; Michael W. Klymkowsky – Journal of Chemical Education, 2024
The use of large language model Generative AI (GenAI) systems by students and instructors is increasing rapidly, and there is little choice but to adapt to this new situation. Many, but not all, students are using GenAI for homework and assignments, which means that we need to provide equitable access for all students to AI systems that can…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Homework
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
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
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
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)
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
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)
Cherner, Todd; Fegely, Alex; Heffner, Lynsey; Gleasman, Cory – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
Corporate EdTech Certification Programs (CECPs) have the potential to disrupt the traditional ways professional development has been offered to teachers. With large companies creating CECPs to demonstrate the ways their products can be used for educational purposes, this study utilized a content analysis methodology to analyze which knowledge…
Descriptors: Corporations, Educational Technology, Certification, Technological Literacy
Sola-Guirado, Rafael R.; Guerrero-Vacas, Guillermo; Rodríguez-Alabanda, Óscar – Education and Information Technologies, 2022
Computer-aided design, manufacturing and engineering technologies (CAD/CAM/CAE) are a mainstay in today's industry and therefore they should be an important part in the current training plan of the graduate engineers. However, their implementation in the university environment presents certain barriers that make it difficult. In this work, we…
Descriptors: Computer Assisted Design, Manufacturing, Automation, Engineering
Turgut, Melih – International Journal of Science and Mathematics Education, 2022
This paper reports the multimodal resources that attached to students' reasoning in the reinvention of specific geometric linear transformations (like reflections according to the axes, projections onto axes and composition of reflections) in a dynamic geometry environment. Following the design heuristics of Realistic Mathematics Education, we…
Descriptors: Geometry, Algebra, Mathematical Concepts, Mathematics Education

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