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Tanya Honerman – ProQuest LLC, 2023
The ability to identify errors by sight and sound--commonly referred to as "error detection"--is a musical ability needed in a variety of music professions. Instructors of undergraduate aural-skills courses often agree that strong error-detection skills are an essential outcome of these courses; however, error-detection activities are…
Descriptors: Error Patterns, Undergraduate Students, Music, Aural Learning
Carlos Andres Rojas – ProQuest LLC, 2022
The present study explored perceptual and articulatory techniques addressing the pronunciation of Spanish rhotics by means of a week-long computerized training. Through a quasi-experimental design approach, the study tested the utility of the online training and its effects on the phonetic production of taps [voiced alveolar tap or flap] and…
Descriptors: Computer Assisted Instruction, Spanish, Second Language Learning, Second Language Instruction
James M. Stratton – ProQuest LLC, 2022
The question of whether second languages (L2s) are best learned implicitly or explicitly has been a topic of much empirical discourse, with the majority of studies pointing to the benefits of explicit instruction when learning L2 grammar rules. However, given the focus on grammar, it is unclear how generalizable these findings are to other…
Descriptors: Second Language Learning, Second Language Instruction, Task Analysis, Auditory Perception
Daniel Bates – ProQuest LLC, 2022
This dissertation research examines the acquisition of second language vowels. For second language learners, learning a new languages' sound inventory, particularly its vowels, presents a challenge perceptually and in terms of production. Incorrectly perceiving and producing sounds in a second language results in a foreign accent in many adult…
Descriptors: Spanish, Second Language Instruction, Second Language Learning, Vowels
Gorlewicz, Jenna Lynn – ProQuest LLC, 2013
This dissertation bridges the fields of haptics, engineering, and education to realize some of the potential benefits haptic devices may have in Science, Technology, Engineering, and Math (STEM) education. Specifically, this dissertation demonstrates the development, implementation, and assessment of two haptic devices in engineering and math…
Descriptors: STEM Education, Handheld Devices, Feedback (Response), Engineering Education