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Salinas, Patricia; Pulido, Ricardo – EURASIA Journal of Mathematics, Science & Technology Education, 2017
This paper discusses the production of a digital environment to foster the learning of conics through augmented reality. The name conic refers to curves obtained by the intersection of a plane with a right circular conical surface. The environment gives students the opportunity to interact with the cone and the plane as virtual objects in real…
Descriptors: Computer Simulation, Geometric Concepts, Mathematics Instruction, Computer Assisted Instruction
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Peach, Richard K.; Beck, Katherine M.; Gorman, Michelle; Fisher, Christine – Journal of Speech, Language, and Hearing Research, 2017
Purpose: This study was conducted to examine the comparative effectiveness of 2 different approaches, 1 domain-specific and the other domain-general, to language and attention rehabilitation in participants with stroke-induced aphasia. The domain-specific treatment consisted of language-specific attention treatment (L-SAT), and the domain-general…
Descriptors: Aphasia, Speech Therapy, Outcomes of Treatment, Comparative Analysis
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Choi, Sung-Kwon; Kwon, Oh-Woog; Kim, Young-Kil – Research-publishing.net, 2017
This paper aims to describe a computer-assisted English learning system using chatbots and dialogue systems, which allow free conversation outside the topic without limiting the learner's flow of conversation. The evaluation was conducted by 20 experimenters. The performance of the system based on a free conversation by topic was measured by the…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Second Language Instruction
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Ó Doinn, Oisín – Research-publishing.net, 2017
In recent years, Computer Assisted Language Learning (CALL) has become more accessible than ever before. This is largely due to the proliferation of mobile computing devices and the growth of open online language-learning resources. Additionally, since the beginning of the millennium there has been massive growth in the number of students studying…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Blended Learning
Spino-Seijas, Le Anne L. – ProQuest LLC, 2017
A pervasive question in second language (L2) research is whether L2 learners can acquire parameterized functional features that are not instantiated in their first language (L1). While some researchers have argued for a representational deficit (e.g., Clahsen & Muysken, 1989; Hawkins & Chan, 1997), claiming that L2 learners' competence is…
Descriptors: Spanish, Second Language Learning, Native Language, Grammar
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Marquis Grant – Journal of Research Initiatives, 2017
Reading was one of the areas targeted by most states for assessment because it not only is a critical area in academics, but also an area where most students were not showing gains. The National Education Association (NEA, 2004) prescribed reading as the catalyst for both learning and achievement. Reading difficulties typically being in the…
Descriptors: Reading Instruction, Direct Instruction, Reading Achievement, Students with Disabilities
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Baker, Joseph M.; Martin, Taylor; Aghababyan, Ani; Armaghanyan, Armen; Gillam, Ronald – Technology, Knowledge and Learning, 2015
Advances in educational neuroscience have made it possible for researchers to conduct studies that observe concurrent behavioral (i.e., task performance) and neural (i.e., brain activation) responses to naturalistic educational activities. Such studies are important because they help educators, clinicians, and researchers to better understand the…
Descriptors: Computer Games, Mathematics, Neurosciences, Brain
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Schwonke, Rolf – Educational Technology & Society, 2015
Instructional design theories such as the "cognitive load theory" (CLT) or the "cognitive theory of multimedia learning" (CTML) explain learning difficulties in (computer-based) learning usually as a result of design deficiencies that hinder effective schema construction. However, learners often struggle even in well-designed…
Descriptors: Cognitive Processes, Difficulty Level, Metacognition, Self Control
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Wu, ChienHsing; Liu, Chia-Fang – Education and Information Technologies, 2015
Literature has paid limited attention to the preference of instructors to adopt e-teaching/learning system (ET/LS) by considering the cognitive styles. The current study proposes a research model to describe the effects of technology acceptance behavior and innovation diffusion behavior on ET/LS adoption for elementary school instructors. A…
Descriptors: Elementary School Teachers, Computer Assisted Instruction, Cognitive Style, Teacher Behavior
Eagle, Michael; Hicks, Drew; Barnes, Tiffany – International Educational Data Mining Society, 2015
Intelligent tutoring systems and computer aided learning environments aimed at developing problem solving produce large amounts of transactional data which make it a challenge for both researchers and educators to understand how students work within the environment. Researchers have modeled student-tutor interactions using complex networks in…
Descriptors: Problem Solving, Prediction, Intelligent Tutoring Systems, Computer Assisted Instruction
Deb, Suman; Saha, Subir; Bhattacharya, Paritosh – International Association for Development of the Information Society, 2015
The fundamental right of education and employment for cognitive disable person is recognized in very recent times. With the advent of technology there have been many interactive way to combat with the challenges of disability and provide supplement training for enabling the challenged person with the skill of employability, so that they can…
Descriptors: Intellectual Disability, Computer Assisted Instruction, Assistive Technology, Play
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Landa-Jiménez, M. A.; González-Gaspar, P.; Pérez-Estudillo, C.; López-Meraz, M. L.; Morgado-Valle, C.; Beltran-Parrazal, L. – Advances in Physiology Education, 2016
A Muscle-Computer Interface (muCI) is a human-machine system that uses electromyographic (EMG) signals to communicate with a computer. Surface EMG (sEMG) signals are currently used to command robotic devices, such as robotic arms and hands, and mobile robots, such as wheelchairs. These signals reflect the motor intention of a user before the…
Descriptors: Physiology, Neurosciences, Robotics, Muscular Strength
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Liao, Ying; Lin, Wen-He – EURASIA Journal of Mathematics, Science & Technology Education, 2016
In the era when digitalization is pursued, numbers are the major medium of information performance and statistics is the primary instrument to interpret and analyze numerical information. For this reason, the cultivation of fundamental statistical literacy should be a key in the learning area of mathematics at the stage of compulsory education.…
Descriptors: Academic Achievement, Memory, Computer Assisted Instruction, Statistics
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Mohsen, Mohammed Ali – British Journal of Educational Technology, 2016
This paper provides a comprehensive review on the use of help options (HOs) in the multimedia listening context to aid listening comprehension (LC) and improve incidental vocabulary learning. The paper also aims to synthesize the research findings obtained from the use of HOs in Computer-Assisted Language Learning (CALL) literature and reveals the…
Descriptors: Multimedia Materials, Listening Comprehension, Vocabulary Development, Help Seeking
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Foroughi, Cyrus K.; Werner, Nicole E.; McKendrick, Ryan; Cades, David M.; Boehm-Davis, Deborah A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Previous research has shown that there is a time cost (i.e., a resumption lag) associated with resuming a task following an interruption and that the longer the duration of the interruption, the greater the time cost (i.e., resumption lag increases as interruption duration increases). The memory-for-goals model (Altmann & Trafton, 2002)…
Descriptors: Individual Differences, Short Term Memory, Task Analysis, Attention Control
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