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Geringer, John M.; Bugaj, Kasia; Geringer, Katie A. – String Research Journal, 2021
This report is a summary of two studies. In the first, we compared examples of Irish fiddle performances with Western classical violin performances. Acoustical analyses showed that both classical examples produced average spectral centroids higher in frequency, higher harmonic to noise ratios, more use of vibrato, more disjunct intervals, and less…
Descriptors: Musical Instruments, Classical Music, Folk Culture, Acoustics
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Dur, Sadiye; Çevik, Sadik Görkem; Ustabas Yildiz, Nagehan – Early Child Development and Care, 2023
This study was designed as a prospective, randomized controlled trial. A total of 90 preterm infants who underwent retinopathy of prematurity (ROP) examinations were categorized into three groups, a control group, a white noise group (WN), and a classical music group (CM), each comprising 30 preterm infants. The study data were obtained using an…
Descriptors: Premature Infants, Acoustics, Classical Music, Pain
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Kiri Mealings – Journal of Speech, Language, and Hearing Research, 2023
Purpose: University is an important time for learning; therefore, it is vital that the classroom acoustic environment is conducive for all students. The aim of this scoping review was to determine what is known from the literature about the effect of classroom acoustic conditions on university students' listening, learning, and well-being and…
Descriptors: College Students, Acoustics, Classroom Environment, Listening
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Xiao, Meng; Tian, Zeyang; Xu, Wei – Education and Information Technologies, 2023
The students' classroom well-being of college students has been widely concerned in online education researches. In order to implement effectively online education in colleges and universities, based on person-context interaction theory, this study investigates a theoretical model of the impact of teacher-student interaction, sound richness, sound…
Descriptors: College Students, Teacher Student Relationship, Interaction, Well Being
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De Luca, R.; Di Mauro, M.; Naddeo, A. – Physics Teacher, 2020
Observing the bouncing of a marble on a table is a rather common experience. The tic-tac sound of the rigid ball, nevertheless, carries quite a pleasant surprise. In fact, by measuring the total time of bouncing [delta]t, the coefficient of restitution can be estimated. As is well known, in an inelastic collision the kinetic energy is not…
Descriptors: Physics, Science Instruction, Acoustics, Energy
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Shufan Yu; Qingtang Liu; Jiaxu Liu; Jingjing Ma; Yuanyuan Yang – Education and Information Technologies, 2024
While augmented reality (AR) technology has shown the potential to facilitate students' hands-on activities, few studies have explored its effectiveness in acoustic topics. This paper introduces an AR-based application for learning about the Doppler effect and investigates its educational effectiveness on students' learning achievement, interest,…
Descriptors: Computer Simulation, Educational Technology, Acoustics, Scientific Concepts
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Giulia Vettori; Laura Di Leonardo; Simone Secchi; Lucia Bigozzi – European Journal of Psychology of Education, 2024
In this study, we investigated primary school children's perspectives on their hearing and listening in classrooms with different acoustic quality levels. The sample included 213 children. The children completed a self-report questionnaire rating how well they could hear and listen in various situations in classrooms with two different acoustic…
Descriptors: Childrens Attitudes, Hearing (Physiology), Listening, Auditory Perception
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Robert F. Siegle; Scotty D. Craig – Journal of Computer Assisted Learning, 2024
Background: The voices virtual on-screen characters use has been shown to impact learning and perception outcomes. Recent replication research on these voices showed that synthetic voices were not a detriment if produced by a high-quality engine with clear articulation. The current manuscript examines previous accent research that utilized now…
Descriptors: Acoustics, Artificial Intelligence, Electronic Learning, Quality Assurance
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Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
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Eddy C. H. Wong; Min Ney Wong; Shelley L. Velleman – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Pitch variations (tone productions) have been reported as a measure to differentiate Cantonese-speaking children with and without childhood apraxia of speech (CAS). This study aims to examine fundamental frequency (F0) changes within syllables and the effects of syllable structure, lexical status, and syllable positions on F0 in…
Descriptors: Acoustics, Sino Tibetan Languages, Preschool Children, Speech Impairments
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Na Yuan – Journal of Computer Assisted Learning, 2024
Background: In the modern music industry, AI music generators have gained particular importance. The use of AI greatly simplifies the creation of polyphony. In addition, it can increase student motivation and interest. Aims: This study focuses on the AI-assisted creation of polyphonic music. The purpose of this study is to determine how creating…
Descriptors: Artificial Intelligence, Motivation Techniques, Music Education, Technology Uses in Education
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Maryellen Brunson McClain; Sarah E. Yoho; Rochelle B. Drill; Cassity R. Haverkamp; Sarah E. Schwartz; Brittan A. Barker; David N. Longhurst; Shelley R. Upton – Contemporary School Psychology, 2024
Classrooms are often noisy environments, which can result in unfavorable learning conditions for students. However, research has insufficiently addressed how noisy classrooms affect autistic students. This preliminary study examined differences in, and the impact of, background noise on reading performance for elementary-aged autistic and…
Descriptors: Students with Disabilities, Autism Spectrum Disorders, Elementary School Students, Classroom Environment
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Galeriu, Calin – Physics Teacher, 2022
The determination of the speed of sound in air is a classical experiment, usually performed with a resonance tube apparatus. The measured value can be checked against Eq. (1), which describes the temperature dependence of the speed of sound in dry air. A modern implementation of this speed of sound investigation uses an Arduino Uno microcontroller…
Descriptors: Acoustics, Physics, Measurement Equipment, Motion
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Carl, Micalle; Icht, Michal; Ben-David, Boaz M. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The Test for Rating Emotions in Speech (T-RES) has been developed in order to assess the processing of emotions in spoken language. In this tool, spoken sentences, which are composed of emotional content (anger, happiness, sadness, and neutral) in both semantics and prosody in different combinations, are rated by listeners. To date,…
Descriptors: Test Validity, Psychological Patterns, Measures (Individuals), Translation
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Oren, Liran; Kummer, Ann W.; Boyce, Suzanne – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Secretion bubbling on the superior aspect of the velopharyngeal (VP) valve typically occurs with a small VP opening during production of oral pressure consonants. The use of high-speed nasopharyngoscopy has shown correlation between the bubbling frequency and the acoustics captured with the nasal microphone of the nasometer. The purpose…
Descriptors: Speech Language Pathology, Speech Impairments, Speech Evaluation, Phonemes
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