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Showing 1 to 15 of 68 results Save | Export
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Emre Orhan; Isa Tuncay Batuk; Merve Ozbal Batuk – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The aim of this study was to investigate the balance performances of young adults with unilateral cochlear implants (CIs) in a dual-task condition. Method: Fifteen young adults with unilateral CIs and 15 healthy individuals were included in the study. The balance task was applied using the Sensory Organization Test via Computerized…
Descriptors: Cognitive Processes, Young Adults, Hard of Hearing, Assistive Technology
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Sophie-Marie Stasch; Wolfgang Mack; Yannik Hilla – Cognitive Research: Principles and Implications, 2025
Multitasking abilities are vital for conducting flight missions. Traditional theories of multitasking suggest that cognitive resources represent a determining factor of said performance. The current study takes a different approach by investigating how the stability-flexibility-dilemma of cognitive control influences multitasking performance in a…
Descriptors: Cooperative Learning, Flight Training, Cognitive Processes, Teamwork
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Roger Johansson; Tina Rastegar; Viveka Lyberg-Åhlander; Jana Holsanova – Applied Cognitive Psychology, 2024
Audio description (AD) plays a crucial role in making audiovisual media accessible to people with a visual impairment, enhancing their experience and understanding. This study employs an event segmentation task to examine how people without sight perceive and segment narrative events in films with AD, compared to sighted viewers without AD. Two AD…
Descriptors: Audiovisual Aids, Assistive Technology, Blindness, Visual Impairments
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Altmeyer, Kristin; Barz, Michael; Lauer, Luisa; Peschel, Markus; Sonntag, Daniel; Brünken, Roland; Malone, Sarah – British Journal of Educational Psychology, 2023
Background: New methods are constantly being developed to adapt cognitive load measurement to different contexts. However, research on middle childhood students' cognitive load measurement is rare. Research indicates that the three cognitive load dimensions (intrinsic, extraneous, and germane) can be measured well in adults and teenagers using…
Descriptors: Cognitive Processes, Difficulty Level, Cognitive Measurement, Children
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Ann Musgrove; Jillian Powers; Mohammad Azhar; Cristine Yao – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
This study examined how an online instructional module that included an unplugged robot design activity integrated computational thinking (CT), assistive technology (AT), and universal design principles into a preservice teacher education class. The research focused on how this module shaped understanding, attitudes, and comfort levels about…
Descriptors: Preservice Teacher Education, Preservice Teachers, Artificial Intelligence, Cognitive Processes
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Song, Yanjie; Cao, Jiaxin; Wu, Kaiyi; Yu, Philip Leung Ho; Lee, John Chi-Kin – IEEE Transactions on Learning Technologies, 2023
Despite the metaverse having been increasingly designed, developed, and applied to education, critical issues regarding the lack of truly immersive learning environments, custom tools, clear instructional design, and inconvenience of using the platform, and ethics and privacy concerns exist. This study aimed to design and develop a 3-D metaverse…
Descriptors: Computer Simulation, Computer Uses in Education, Cognitive Processes, Assistive Technology
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Kshitij Sharma; Serena Lee-Cultura; Sofia Papavlasopoulou; Michail Giannakos – Journal of Computer Assisted Learning, 2025
Background: Effort measurement is essential for adaptation to interactive learning technologies. Most contemporary technologies measure effort through the log data (reaction time and correctness). Some adaptive technologies use facial expressions and attention to adapt. Objectives: We present a novel, complementary, and multimodal definition of…
Descriptors: Academic Persistence, Educational Technology, Technology Uses in Education, Assistive Technology
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Erik Marsja; Emil Holmer; Victoria Stenbäck; Andreea Micula; Carlos Tirado; Henrik Danielsson; Jerker Rönnberg – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Although the existing literature has explored the link between cognitive functioning and speech recognition in noise, the specific role of fluid intelligence still needs to be studied. Given the established association between working memory capacity (WMC) and fluid intelligence and the predictive power of WMC for speech recognition in…
Descriptors: Short Term Memory, Word Recognition, Speech Communication, Auditory Perception
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Liew, Tze Wei; Tan, Su-Mae; Pang, Wei Ming; Khan, Mohammad Tariqul Islam; Kew, Si Na – Education and Information Technologies, 2023
Modern text-to-speech voices can convey social cues ideal for narrating multimedia learning materials. Amazon Alexa has a unique feature among modern text-to-speech vocalizers as she can infuse enthusiasm cues into her synthetic voice. In this first study examining modern text-to-speech voice enthusiasm effects in a multimedia learning…
Descriptors: Artificial Intelligence, Audio Equipment, Assistive Technology, Speech Communication
Elizabeth Pierotti – ProQuest LLC, 2024
The process of spoken word recognition is influenced by both bottom-up sensory information and top-down cognitive information. These cues are used to process the phonological and semantic representations of speech. Several studies have used EEG/ERPs to study the neural mechanisms of children's spoken word recognition, but less is known about the…
Descriptors: Word Recognition, Cognitive Processes, Cues, Oral Language
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Dinçer, Nazmi – Journal of Pedagogical Research, 2022
The voice effect or principle assumes that people learn better when they are exposed to multimedia instruction that includes a human voice rather than a machine voice. This investigation reconsiders the voice principle by investigating the relationship between learning outcomes and mental effort of the learners. Text-to-speech (TTS) engines have…
Descriptors: Multimedia Instruction, Assistive Technology, Oral Language, Instructional Effectiveness
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Nixon, Grace; Sarant, Julia; Tomlin, Dani; Dowell, Richard – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The purpose of this study was to explore the effects of hearing, cognition, and personal factors on hearing aid (HA) uptake, use, and benefit. Method: Eighty-five older adults aged 60-80 years (M = 70.23, SD = 5.17) participated in the study. Hearing was assessed using pure-tone audiometry and the Listening in Spatialised Noise-Sentences…
Descriptors: Hearing Impairments, Assistive Technology, Cognitive Processes, Psychomotor Skills
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Kumar, Amit; Mantri, Archana – Education and Information Technologies, 2022
Embedded system course requires the manifestation of acquired knowledge through the transfer of the relevant skill set in a hands on environment to achieve the respective course outcome. Laboratory skills provide the optimum exposure and experiential learning to obtain real time solutions for real time problems. The present embedded system course…
Descriptors: Engineering Education, Laboratories, Experiential Learning, Computer Simulation
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Lind-Combs, Holly C.; Holt, Rachael Frush – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Children who are deaf or hard of hearing (D/HH) are at increased risk for neurocognitive delays, which can have cascading effects on development. Associations between neurocognition and the content of parental language--specifically the use of mental state vocabulary--have been observed in typically hearing (TH) children. This study…
Descriptors: Deafness, Hearing Impairments, Child Development, Vocabulary
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Winn, Matthew B.; Teece, Katherine H. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Speech recognition percent correct scores fail to capture the effort of mentally repairing the perception of speech that was initially misheard. This study measured the effort of listening to stimuli specifically designed to elicit mental repair in adults who use cochlear implants (CIs). Method: CI listeners heard and repeated sentences…
Descriptors: Listening Skills, Assistive Technology, Speech Communication, Recognition (Psychology)
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