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Rustam Shadiev; Yingying Feng; Roza Zhussupova; Yueh-Min Huang – Journal of Computer Assisted Learning, 2024
Background: Tele-collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross-cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in…
Descriptors: Telecommunications, Feedback (Response), Assistive Technology, Verbal Communication
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Laduona Dai; Veronika Kritskaia; Evelien van der Velden; Reinder Vervoort; Marlieke Blankendaal; Merel M. Jung; Marie Šafár Postma; Max M. Louwerse – Journal of Computer Assisted Learning, 2024
Background: The integration of Text-to-Speech (TTS) and virtual reality (VR) technologies in K-12 education is an emerging trend. However, little is known about how students perceive these technologies and whether these technologies effectively facilitate learning. Objectives: This study aims to investigate the perception and effectiveness of TTS…
Descriptors: Computer Simulation, Assistive Technology, Elementary Education, Technology Uses in Education
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Fountoukidou, Sofia; Matzat, Uwe; Ham, Jaap; Midden, Cees – Journal of Computer Assisted Learning, 2022
Background: Though pedagogical artificial agents are expected to play a crucial role in the years to come, earlier studies provide inconsistent results regarding their effect on learning. This might be because their potential for exhibiting subtle nonverbal behaviours we know from human teachers has been untapped. What is more, there is little…
Descriptors: Artificial Intelligence, Assistive Technology, Technology Uses in Education, Nonverbal Communication
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Ferhan Sahin; Gizem Yildiz – Journal of Computer Assisted Learning, 2024
Background: Despite the significant emphasis on self-determination in special education and the crucial role of mobile learning, there is a notable absence of path modelling studies that explore the effect of self-determination on the usage of mobile learning by students with special needs. Objectives: This study sought to investigate the…
Descriptors: College Students, Special Needs Students, Assistive Technology, Electronic Learning
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Ran Peleg; Orly Lahav; Noha Hagab; Vadim Talis; Sharona T. Levy – Journal of Computer Assisted Learning, 2024
Background: Students who are blind are integrated into public schools in many countries, yet are often excluded from full participation in science since most learning materials are visual. To create a compensatory route, an existing model-based inquiry-learning environment was adapted by means of sonification (addition of non-speech sounds that…
Descriptors: Audiovisual Aids, Blindness, Science Education, Students with Disabilities
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Zunera Zahid; Sara Ali; Shehriyar Shariq; Yasar Ayaz; Noman Naseer; Irum Yaseen – Journal of Computer Assisted Learning, 2024
Background: This study presents a Robot-Inspired Computer-Assisted Adaptive Autism Therapy (RoboCA[supercript 3]T) focusing on improving joint attention and imitation skills of children with autism spectrum disorder (ASD). By harnessing the inherent affinity of children with ASD for robots and technology, RoboCA[superscript 3]T offers a…
Descriptors: Autism Spectrum Disorders, Children, Robotics, Assistive Technology
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Novak, Elena; Brannon, Megan; Librea-Carden, Mila Rosa; Haas, Amy L. – Journal of Computer Assisted Learning, 2021
Although 3D printing (3DP) technology has become an increasingly popular educational tool in recent years, very little is known about the learning benefits of this technology. This systematic literature review synthesized empirical research on learning with 3DP in various educational settings, focusing on publication and study participants'…
Descriptors: Computer Peripherals, Printing, Technology Uses in Education, Educational Benefits
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Bonifacci, Paola; Colombini, Elisa; Marzocchi, Michele; Tobia, Valentina; Desideri, Lorenzo – Journal of Computer Assisted Learning, 2022
Background: Mind wandering--that is, a shift in the contents of thought away from an ongoing task--can have detrimental consequences for students' reading comprehension. To date, no evidence is available on the effects of text-to-speech solutions on rates of mind wandering during reading. Objectives: The study aimed to evaluate the effects of…
Descriptors: Assistive Technology, Attention, Dyslexia, Students with Disabilities
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Hung, Cheng-Yu; Lin, Yen-Ting; Yu, Shih-Jou; Sun, Jerry Chih-Yuan – Journal of Computer Assisted Learning, 2023
Background: Previous research has examined the use of augmented reality (AR) and virtual reality (VR) in English language teaching. However, to the best of our knowledge, none of the earlier studies that investigated integrating AR and VR "wearables" into teaching and learning English based on the attention, relevance, confidence, and…
Descriptors: Computer Simulation, Simulated Environment, Assistive Technology, Second Language Learning
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de Mooij, Susanne M. M.; Raijmakers, Maartje E. J.; Dumontheil, Iroise; Kirkham, Natasha Z.; van de Maas, Han L. J. – Journal of Computer Assisted Learning, 2021
While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision-making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options.…
Descriptors: Error Patterns, Identification, Computer Peripherals, Computer Uses in Education
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Van Laere, E.; Braak, J. – Journal of Computer Assisted Learning, 2017
Text-to-speech technology can act as an important support tool in computer-based learning environments (CBLEs) as it provides auditory input, next to on-screen text. Particularly for students who use a language at home other than the language of instruction (LOI) applied at school, text-to-speech can be useful. The CBLE E-Validiv offers content in…
Descriptors: Assistive Technology, Bilingualism, Computer Assisted Instruction, Language of Instruction
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Mize, Min Kyung; Park, Yujeong; Moore, Tara – Journal of Computer Assisted Learning, 2018
The purpose of this study was to synthesize the effectiveness of computer-assisted instruction (CAI) studies aiming to increase vocabulary for students with disabilities in an effort to identify what type of CAI is promising for practice. An extensive search process with inclusion and exclusion criteria yielded a total of 13 single-subject design…
Descriptors: Computer Assisted Instruction, Vocabulary Development, Vocabulary Skills, Skill Development
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Huang, Y-M.; Liu, C-J.; Shadiev, Rustam; Shen, M-H.; Hwang, W-Y. – Journal of Computer Assisted Learning, 2015
One major drawback of previous research on speech-to-text recognition (STR) is that most findings showing the effectiveness of STR for learning were based upon subjective evidence. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR-generated text. Furthermore, not much attention was paid to…
Descriptors: Eye Movements, Assistive Technology, Visual Perception, Visual Stimuli
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Levy, S. T.; Lahav, O. – Journal of Computer Assisted Learning, 2012
This paper addresses a central need among people who are blind, access to inquiry-based science learning materials, which are addressed by few other learning environments that use assistive technologies. In this study, we investigated ways in which learning environments based on sound mediation can support science learning by blind people. We used…
Descriptors: Assistive Technology, Pretests Posttests, Acoustics, Auditory Stimuli
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Yang, H.-J.; Lay, Y.-L.; Liou, Y.-C.; Tsao, W.-Y.; Lin, C.-K. – Journal of Computer Assisted Learning, 2007
A computer-assisted music-learning system (CAMLS) has been developed to help the hearing impaired practice playing a musical melody. The music-learning performance is evaluated to test the usability of the system. This system can be a computer-supported learning tool for the hearing impaired to help them understand what pitch and tempo are, and…
Descriptors: Music Education, Music, Musical Instruments, Computer Assisted Instruction
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