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No Child Left Behind Act 20011
Showing 1 to 15 of 159 results Save | Export
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Geetika Ail; Frances Freer; Chui Shan Chan; Melissa Jones; John Broad; Gian Paulo Canale; Pedro Elston; Jessica Leeney; Paula Vickerton – Anatomical Sciences Education, 2024
Immersive virtual reality (i-VR) is a powerful tool that can be used to explore virtual models in three dimensions. It could therefore be a valuable tool to supplement anatomical teaching by providing opportunities to explore spatial anatomical relationships in a virtual environment. However, there is a lack of consensus in the literature as to…
Descriptors: Computer Simulation, Models, Anatomy, Premedical Students
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Beach, Isidora R.; D'Agostino, Erin N.; Thakrar, Raj; Lunardini, David J. – Anatomical Sciences Education, 2023
Ongoing research has attempted to discern the optimal way to teach surgical anatomy. This study investigated the relative effectiveness of drawing and clay modeling on learning spinal anatomy among medical students. Participants were recruited from a first-year medical school class to participate in an optional educational session in their regular…
Descriptors: Anatomy, Medical Education, Surgery, Teaching Methods
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Rui Guo – International Journal of Web-Based Learning and Teaching Technologies, 2024
To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and…
Descriptors: Artificial Intelligence, Information Technology, Physical Education, Teaching Methods
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Kun Dou; Huzaina Abdul Halim; Mohd Rashid Mohd Saad – European Journal of Education, 2025
Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Teaching Methods
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Xin, Yan Ping; Kim, Soo Jung; Lei, Qingli; Liu, Bing Yu; Wei, Shuang; Kastberg, Signe E.; Chen, Yingjie Victor – Journal of Special Education, 2023
The U.S. Nation's Report Card reveals that lower performing students exhibited greater achievement decline than their average/high performing peers based on 2022 long-term trend mathematics assessments for age 9 students. Technology, including computer-assisted instruction, plays an important role in today's dynamic learning environments.…
Descriptors: Problem Solving, Models, Teaching Methods, Mathematics Achievement
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Made Aryawan Adijaya; I. Ketut Armawan; Maria Goreti Rini Kristiantari – International Journal of Language Education, 2023
Learning activities need to facilitate vocational students in learning independently. It certainly has an impact on students' low understanding and skills. This research aims to develop Mobile-Assisted Language Learning (MALL) for Vocational Education. This type of research is development research. The development model used is the ADDIE model.…
Descriptors: Vocational Education, Computer Assisted Instruction, Telecommunications, Handheld Devices
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Chen, Fei; Xia, Quansheng; Feng, Yan; Wang, Lan; Peng, Gang – Journal of Computer Assisted Learning, 2023
Background: Teaching Mandarin as a second language (L2) has become an important profession and an important research area. The acquisition of unaspirated and aspirated consonants in Mandarin has been reported to be rather challenging for L2 learners. Objectives: In the current study, a 3-D airflow model was integrated into the virtual talking head…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Mandarin Chinese, Models
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Jiang, Bo; Wu, Simin; Yin, Chengjiu; Zhang, Haifeng – IEEE Transactions on Learning Technologies, 2020
Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing…
Descriptors: Programming, Computer Assisted Instruction, Problem Solving, Task Analysis
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Wen-Lung Huang; Liang-Yi Li; Jyh-Chong Liang – Educational Technology & Society, 2024
The purposes of this study were to explore students' learning performance, knowledge construction, and behavioral patterns in computer-supported collaborative learning (CSCL) online discussions with/without using Form+Theme+Context (FTC) model guidance scaffolding in visual imagery education. In the online learning activities, the control group…
Descriptors: Asynchronous Communication, Online Courses, Behavior Patterns, Discussion (Teaching Technique)
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Chimmalee, Benjamas; Anupan, Anuchit – International Journal of Instruction, 2022
Problem-solving is considered as an important skill for learning Mathematics. Integration of cloud technology into Model-Eliciting Activities (MEAs) has been considered as an instructional approach to study students' mathematical problem-solving abilities. The purposes of this study were to evaluate the suitability of the MEAs using cloud…
Descriptors: Models, Computer Software, Mathematics Instruction, Problem Solving
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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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Chun, Dorothy M.; Karimi, Honeiah; Sañosa, David Joshua – CALICO Journal, 2022
In line with the 2021 CALICO Conference theme "Global realities," we presented a plenary on how immersive virtual reality (IVR) could be used for second language learning by allowing learners to virtually travel around the globe via headset. The main affordances of virtual reality (VR) technology include immersing learners in an…
Descriptors: Second Language Learning, Second Language Instruction, Computer Software, Computer Assisted Instruction
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Shijiao Jia; Zhaoxia Lu – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study examines the effects of the mobile-assisted task-based language teaching (M-TBLT) approach on EFL learners' oral production. It evaluates three key second language acquisition measures: complexity (syntactic and lexical), accuracy (error-free clauses and correct verb forms), and fluency (unpruned and pruned speech rates).…
Descriptors: Oral Language, Task Analysis, Second Language Learning, Second Language Instruction
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Wilde, Natalie; Hsu, Anne – Research on Education and Media, 2019
Previous researchers have emphasised the need for more student-centred approaches to online learning. This study presents and assesses the feasibility of a tailoring system, which adapts vicarious experience information to best benefit the learners' self-efficacy (SE), based upon the model-observer similarity hypothesis. This hypothesis states…
Descriptors: Student Centered Learning, Electronic Learning, Self Efficacy, Instructional Effectiveness
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Marek, Michael W. – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This article proposes a Standard Model of CALL, i.e., a compilation of fundamental theories and practices that should always be considered when creating an instructional design for the Computer Assisted Language Learning (CALL). This proposed model is inspired by the standard model of physics which is the widely accepted understanding about how…
Descriptors: Instructional Design, Second Language Instruction, English (Second Language), Second Language Learning
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