Current attitudes toward voice studio teaching technology: a bicoastal survey of classical singing pedagogues.
In recent years, the availability of studio teaching technology tools for the classical singing studio has developed exponentially. Nevertheless, the integration of voice analysis technology and other computer-based technology into a traditional classical singing studio can be a daunting task for many teachers, despite fine instructional texts such as those of Garyth Nair (1999) and Scott McCoy (2004). For this reason, The Texas Tech Voice Alliance developed and assessed a bicoastal online survey of classical singing pedagogues in the United States about their perceptions of, and attitudes toward, the use of studio teaching technology. The purpose of this study was to investigate the current use of this technology and to assess the readiness of these teachers to explore further its possible benefits. Subjects were asked to rank relevant factors associated with voice studio teaching technology in the classical singing studio and respond to questions using calibrated judgment scales. Discussion focuses on descriptive survey results and analyses, including agreement and disagreement between classical singing pedagogues regarding real or perceived uses and future benefits of voice studio teaching technology in their studio programs. Results of this survey provide data on which to base future studies. Building on the record of existing software and related literature, and through ongoing research, this team ultimately intends to expand the survey group and use the results to guide us in further development of user-friendly computer-based technology.
Barnes-Burroughs
Kathryn
K
Texas Tech University School of Music, Lubbock, Texas 79409, USA. kathryn.barnes-burroughs@ttu.edu
Lan
William Y
WY
Edwards
Elizabeth
E
Archambeault
Noël
N
D000328:Adult; D000368:Aged; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D001296:Audiovisual Aids; D003625:Data Collection; D005178:Faculty; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009146:Music; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D049250:Speech Recognition Software; D014481:United States; D014833:Voice Quality; D014834:Voice Training