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Anabela Anabela Malpique; Mustafa Asil; Deborah Pino-Pasternak; Susan Ledger; Timothy Teo – Reading and Writing: An Interdisciplinary Journal, 2025
Digital tools are an integral part of most writing communities across the globe, enhancing the criticality of gaining a comprehensive understanding of both paper and computer-based writing acquisition and development. The relationships between transcription skills and children's paper-based writing performance are well documented. Less is known…
Descriptors: Handwriting, Writing Skills, Keyboarding (Data Entry), Spelling
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Dubey, Pushkar; Sahu, Kailash Kumar – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: Students' perception towards learning technologies in the disruptive times like coronavirus disease (2019) COVID-19 is what the educational institutes are striving to know so that the educational institutes could provide the best learning experiences to students. The present study attempts to identify the technology-enhanced learning…
Descriptors: Technology Uses in Education, Student Satisfaction, Educational Benefits, College Students
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Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
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Casey J. Metoyer; Katherine Sullivan; Lee J. Winchester; Mark T. Richardson; Michael R. Esco; Michael V. Fedewa – Measurement in Physical Education and Exercise Science, 2025
Relative adiposity (%Fat) was measured using a smartphone-based application in a convenience sample of adults aged 20-52 years (n = 32, 68.7% female, 84.3% White/Caucasian, 26.7 ± 3.5 kg/m2) across different body positions (Anterior versus Posterior) on consecutive days (Day 1 versus Day 2). A reference photo was obtained from the posterior view…
Descriptors: Adults, Body Composition, Handheld Devices, Computer Assisted Instruction
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Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
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Yesilyurt, Etem; Vezne, Rabia – Education and Information Technologies, 2023
Even though there is an abundance of research on computer supported education (CSE), digital literacy (DL), technological literacy (TL), and internet literacy (IL), the correlation between them and their effect on each other have not been analyzed in the literature. However, no study has been conducted on the correlation between and effect of CSE,…
Descriptors: Preservice Teachers, Digital Literacy, Technological Literacy, Internet
Jasmien Lewis – ProQuest LLC, 2021
In the past the turnover rate among teachers had been relatively high, the attention of researchers shifted to factors culminating the high turnover rate among teachers. It was not known to what extent, if any, the predictor variables of mentoring modality and length of employment explained the variance in the criterion variable, teacher turnover…
Descriptors: Mentors, Teacher Persistence, Labor Turnover, Predictor Variables
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Hsu, Liwei – Computer Assisted Language Learning, 2023
The Language Massive Open Online Courses (LMOOCs) is a new platform of computer assisted language learning (CALL); since most LMOOCs witness high dropout rates, empirical evidence on English as a Foreign Language (EFL) learners' motivation to accept and utilize LMOOCs for English language learning is warranted. This study recruited 237 Taiwanese…
Descriptors: English (Second Language), Second Language Learning, Self Determination, MOOCs
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Huang, Xiaoxia; Mathews, Justin L.; Hsiao, E-Ling – Journal of Educators Online, 2022
The central research question of this empirical study was: How do student demographics, math self-efficacy, and math anxiety relate to and predict their choice of pedagogical agents serving as virtual math tutors? A total of 152 middle school students and 135 college students were surveyed on their perceived math self-efficacy, math anxiety, and…
Descriptors: Tutoring, Mathematics Instruction, Middle School Students, College Students
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Kelsey E. Schenck; Doy Kim; Fangli Xia; Michael I. Swart; Candace Walkington; Mitchell J. Nathan – Grantee Submission, 2024
Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…
Descriptors: Geometric Concepts, Task Analysis, Thinking Skills, Validity
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Lee, Jang Ho; Lee, Hansol – Language Awareness, 2023
As digital technology is becoming an increasingly critical component of education, learners' socioeconomic status (SES) and technology use are becoming more important in their learning. In the context of English learning, the present study modeled how learners' SES and their perception of technology use for language learning are linked to their…
Descriptors: Socioeconomic Status, English (Second Language), Second Language Learning, Second Language Instruction
Zwart, Diana P.; Goei, Sui Lin; Noroozi, Omid; Van Luit, Johannes E. H. – Research and Practice in Technology Enhanced Learning, 2021
Computer-based virtual learning environments (CBVLEs) are potentially useful teaching tools for training nursing students in professional duties such as the mathematical tasks associated with medication processes. In this study, a CBVLE was designed with well-structured instructional activities such as interleaved practice and feedback.…
Descriptors: Virtual Classrooms, Computer Assisted Instruction, Nursing Students, Nursing Education
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Vaizman, Tal; Harpaz, Gal – Research Studies in Music Education, 2023
Music self-efficacy has been acknowledged as a strong predictor of successful performance among musicians and music students, but is less researched among amateur musicians. The purpose of this study is to examine the connection between music self-efficacy and learning and playing habits of amateur musicians who had preferences for online music…
Descriptors: Musicians, Music Education, Self Esteem, Self Efficacy
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Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
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Yüksel, H. Gülru; Mercanoglu, H. Güldem; Yilmaz, M. Betül – Computer Assisted Language Learning, 2022
Growing research suggests that digital flashcards may facilitate students' technical vocabulary learning efforts. The primary purpose of this quasi-experimental study was to compare the effect of digital flashcards (DFs) and wordlists on learning technical vocabulary as well as to explore students' perceptions regarding the use of DFs. Using…
Descriptors: Educational Technology, Language Tests, Vocabulary Development, Comparative Analysis
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