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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
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
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
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
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
Analysis and Prediction of Students' Performance in a Computer-Based Course through Real-Time Events
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
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Maryam Barkati; Zhila Kiyanfar; Mostafa Azari Noughabi; Fatemeh Ershadi – British Journal of Educational Technology, 2025
Despite the proliferation of studies on computer-assisted language learning, scant research attention has been paid to informal digital learning of English (IDLE) and its antecedents. Therefore, the current study aimed to investigate whether Iranian EFL learners' L2 grit, digital literacy and self-efficacy contributed to their IDLE. A total of 313…
Descriptors: Self Efficacy, Academic Persistence, English (Second Language), Digital Literacy
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
The Relationship between Mentoring Program Types and Turnover Intentions among Early Career Teachers
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
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
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
Choice of Pedagogical Agents as Virtual Math Tutors: Perspectives from Children and College Students
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
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Haseski, Halil Ibrahim – International Journal of Research in Education and Science, 2020
The present study aimed to determine the effect of individual cyber security skills of pre-service teachers on their attitudes towards computer-assisted education. Thus, the present research was designed as a correlational study. The study participants included 241 senior pre-service teachers in different departments at Manisa Celal Bayar…
Descriptors: Computer Security, Computer Literacy, Preservice Teachers, Computer Assisted Instruction

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