Lectura musical y software de notación musical
un estudio de casos múltiples
DOI:
https://doi.org/10.35699/2317-6377.2024.48079Palabras clave:
Lectura musical, Software editor de partituras, aceptación tecnológica, Estudio de casos múltiples, Estudiantes universitariosResumen
Se realizó un estudio de casos múltiples en el contexto de la asignatura Fundamentos y Prácticas de la Música del Grado de Educación Primaria de la Universidad de Sevilla. A cinco voluntarios se les planteó una prueba oral en la que debían estudiar cuatro partituras de dos niveles de dificultad diferentes, ayudados por dos medios distintos. El objetivo principal era conocer en qué se diferenciaban las percepciones de los participantes sobre el uso de estos dos medios. Los resultados mostraron que el editor era más aceptado cuando los participantes tenían menos conocimientos y habilidades sobre el contenido musical de las partituras. En base a los resultados, se entiende que la introducción de este tipo de medios podría suponer una mejora en el rendimiento de los alumnos, consiguiendo salvar la brecha en cuanto a conocimientos y habilidades musicales previas, y también podría suponer un enriquecimiento en la metodología de fichaje.
Referencias
Bangert, Marc; Udo Haeusler and Eckart Altenmüller. 2001. “On practice: How the brain connects piano keys and piano sounds”, Annals of the New York Academy of Sciences 930: 425–428, https://doi.org/10.1111/j.1749-6632.2001.tb05760.x DOI: https://doi.org/10.1111/j.1749-6632.2001.tb05760.x
Baxter, Pamela and Susan Jack. 2008. “Qualitative case study methodology: Study design and implementation for novice researchers”, The Qualitative Report 13 (4): 544-559. https://doi.org/10.46743/2160-3715/2008.1573 DOI: https://doi.org/10.46743/2160-3715/2008.1573
Boersma, Paul and David Weenink. 2021, “PRAAT” [Software]. University of Amsterdam, https://www.fon.hum.uva.nl/praat/
Brodsky, Warren, Yoav Kessler, Bat.S. Rubinstein, Jane Ginsborg and Avishai Henik. 2008, “The mental representation of music notation: Notational audiation”. Journal of Experimental Psychology: Human Perception and Performance 34 (2): 427–445, https://doi.org/10.1037/0096-1523.34.2.427 DOI: https://doi.org/10.1037/0096-1523.34.2.427
Buenaño Logroño, Édagar R. 2016, “Análisis de herramientas de software libre orientadas al aprendizaje del lenguaje musical para mejorar el rendimiento académico en los estudiantes del primer año de bachillerato de la unidad educativa “Juan Velasco” “. Master´s thesis, Chimborazo: Escuela Superior Politécnica de Chimborazo. http://dspace.espoch.edu.ec/handle/123456789/4635
Chan, Liz, Ann C. Jones, Eileen Scanlon and Richard Joiner 2006, “The use of ITC to support the development of practical music skills through acquiring keyboard skills: a classroom-based study”, Computer and Education 46 (4): 391-406. https://doi.org/10.1016/j.compedu.2004.08.007 DOI: https://doi.org/10.1016/j.compedu.2004.08.007
Davis, Fred D. 1989, “Perceived usefulness, perceived ease of use and user acceptance of information technology”, MIS Quarterly 13 (3): 319–340. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008
Davis, Jane. 2001. “CAI: Does It Have an Effect on Aural Skills Performances?”. Paper presented at the Eighth International Technological Directions in Music Education Conference, San Antonio, Texas.
Drost, Ulrich C, Martina Rieger, Marcel Brass, Thomas C. Gunter and Wolfgang Prinz. 2005, “When hearing turns into playing: Movement induction by auditory stimuli in pianists”. Quarterly Journal of Experimental Psychology: Human Experimental Psychology 58 (8): 1376–1389. https://doi.org/10.1080/02724980443000610 DOI: https://doi.org/10.1080/02724980443000610
Galera-Núñez, Mar, Jesús Tejada and Eva Trigo. 2013. “Music notation software as a means to facilitate the study of singing musical scores”. Electronic Journal of Research in Psychology Education 29: 215-237. http://dx.doi.org/10.25115/ejrep.v11i29.1564 DOI: https://doi.org/10.25115/ejrep.v11i29.1564
Goodhue, Dale. L. and Ronald L. Thompson. 1995. “Task-technology fit and individual performance”. MIS Quarterly 19 (2): 213–236. https://doi.org/10.2307/249689 DOI: https://doi.org/10.2307/249689
Goodwin, Mary A. 1991. “The effectiveness of “Pitch Master” compared to traditional classroom methods in teaching sight singing to college music students”. Master´s Thesis, South Florida University.
Hasegawa, Takehiro, Ken-Ichi Matsuki, Takashi Ueno, Yasuhiro Maeda, Yoshihiko Matsue, Yukuo Konishi and Norihiro Sadato. 2004. “Learned audio-visual cross-modal associations in observed piano playing activate the left planum temporale: An fMRI study”. Cognitive Brain Research 20 (3): 510–518. https://doi.org/https://doi.org/10.1016/j.cogbrainres.2004.04.005 DOI: https://doi.org/10.1016/j.cogbrainres.2004.04.005
Hernández, Elena and María J. Navarro. 2017. “Percepciones de los estudiantes sobre el uso del ordenador personal y otros recursos en el aula universitaria”. Píxel-Bit 50: 123-135. https://recyt.fecyt.es/index.php/pixel/article/view/61767 DOI: https://doi.org/10.12795/pixelbit.2017.i50.08
Jeremic, Biljana, Rajko Pecanac, Emilija Stankovic and Tanja Durdevic. 2020. “Music Technology Software in Adopting Music Teaching Contents”. Croatian Journal of Education 22 (1): 263- 286. https://doi.org/10.15516/cje.v22i1.3282 DOI: https://doi.org/10.15516/cje.v22i1.3282
Lemons, Robert M. 1985. “The development and trial of micro-computer-assited techniques to supplement traditional training in musical sightreading”. PhD diss., University of Colorado. https://www.proquest.com/dissertations-theses/development-trial-microcomputer-assisted/docview/303292212/se-2
Larasati, Maria T. L. and Yudi Sukmayadi. 2021. “Mobile Learning Design for Sight Reading”. Proceedings of the 3rd International Conference on Arts and Design Education, ICADE 2020: 70–73. https://doi.org/https://doi.org/10.2991/assehr.k.210203.015 DOI: https://doi.org/10.2991/assehr.k.210203.015
Lituma, Julio A. 2015, “El Manejo de programas editores de partituras en el aprendizaje musical de los estudiantes del 6to semestre nivel técnico del conservatorio de música ¨Salvador Bustamante Celi”“. Master´s Thesis, Universidad Nacional de Loja. https://dspace.unl.edu.ec/jspui/handle/123456789/21209
Marton, Ference. 1995. “Phenomenography: A research approach to investigating different understandings of reality”, In Qualitative research in education: focus and methods, edited by Robert R. Sherman and Rodman B. Webb, 141-161. London and New York: Routledge Falmer Press.
McPherson, Gary and Alf Gabrielsson 2002. “From sound to sign”, In The science and psychology of music performance: Creatives strategies for teaching and learning, edited by Richard Parncutt and Gary McPherson, 99-115. New York: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195138108.001.0001 DOI: https://doi.org/10.1093/acprof:oso/9780195138108.001.0001
Merchán Sánchez-Jara, Javier F. 2016. “Lectura Musical en el ámbito digital: aplicaciones para tablets”, Education in the Knowledge Society 17 (1): 109-128. https://doi.org/10.14201/eks2016171109128 DOI: https://doi.org/10.14201/eks2016171109128
Miles, Matthew B. and A. Michael Huberman. 1994. Qualitative data analysis: an expanded sourcebook. Newbury Park, CA: Sage.
Mulet, Julie, Cécile van de Leemput and Frank Amadieu. 2019. “A critical literature review of perceptions of tablets for learning in primary and secondary schools”. Educational Psychology Review 31: 631–662. https://doi.org/10.1007/s10648-019-09478-0 DOI: https://doi.org/10.1007/s10648-019-09478-0
Nicholson, Jennifer, Darren B. Nicholson and Joseph Valacich. 2008. “Examining the effects of technology attributes on learning: a contingency perspective”. Journal of Information Technology Education 7: 185-204. https://doi.org/10.28945/185 DOI: https://doi.org/10.28945/185
Ozeas, Natalie L. 1991. “The effect of the use of a computer assisted drill program on the aural skill development of students in beginning solfége”. PhD diss., University of Pittsburg. https://dl.acm.org/doi/book/10.5555/145605
Palazón-Herrera, José. 2014. “Software musical y sus posibilidades didácticas: una panorámica para los estudiantes del Máster de Secundaria en la especialidad de Música”. In La era de las TT.II.CC. en la nueva docencia, coordinated by José F. Durán Medina and Susana Durán Valero, 363-372. Madrid: McGraw-Hill Interamericana de España.
Parker, Robert C. 1979. “The relative effectiveness of the TAP system in instruction in sight singing: An experimental study”. PhD diss., University of Miami. https://www.proquest.com/dissertations-theses/relative-effectiveness-tap-system-instruction/docview/302924482/se-2
Prasso, Nina M. 1997. “An examination of the effect of writing melodies using a computer-based song-writing program on high school students: Individual learning of sight-singing skills”. Ph.D. thesis, Columbia University Teachers College. https://dl.acm.org/doi/abs/10.5555/925246
Savage, Jonathan. 2010. “A survey of ICT usage across English secondary schools”. Music Education Research 12 (1): 89-104. https://doi.org/10.1080/14613800903568288 DOI: https://doi.org/10.1080/14613800903568288
Schön, Daniele and Besson, Mirelle. 2005. “Visually induced auditory expectancy in music reading: a behavioural and electrophysiological study”. Journal of Cognitive Neuroscience 17(4): 694-705. https://doi.org/10.1162/0898929053467532 DOI: https://doi.org/10.1162/0898929053467532
Sloboda, John. 1974. “The eye-hand span: an approach to the study of sight reading”. Psychology of Music 2: 4-10. https://doi.org/10.1177/030573567422001 DOI: https://doi.org/10.1177/030573567422001
Sloboda, John. 1977. “Phrase units as determinants of visual processing in music reading. British Journal of Psychology 68 (1): 117-124. https://doi.org/10.1111/j.2044-8295.1977.tb01566.x DOI: https://doi.org/10.1111/j.2044-8295.1977.tb01566.x
Sloboda, John. 2004. “Experimental studies of music reading: A review”. In Exploring the musical mind, edited by John A. Sloboda, 27-42. Oxford: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198530121.003.0002 DOI: https://doi.org/10.1093/acprof:oso/9780198530121.003.0002
Schulz, Matthias, Bernhard Ross and Christo Pantev. 2003. “Evidence for training-induced crossmodal reorganization of cortical functions in trumpet players”, Neuroreport 14 (1): 157–161. https://doi.org/10.1097/00001756-200301200-00029 DOI: https://doi.org/10.1097/00001756-200301200-00029
Venkatesh, Viswanath and Fred D. Davis. 2000. “A theoretical extension of the technology acceptance model: four longitudinal field studies”. Management Science 46 (2): 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926 DOI: https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, Viswanath, Michael Morris, Gordon B. Davis and Fred D. Davis 2003, “User acceptance of information technology: Toward a unified view”. MIS Quarterly 27 (3): 425–478. https://doi.org/10.2307/30036540 DOI: https://doi.org/10.2307/30036540
Watson, Maike. 2018. “MuseScore”. Journal of the Musical Arts in Africa 15(1-2): 143-147. https://doi.org/10.2989/18121004.2018.1534342. DOI: https://doi.org/10.2989/18121004.2018.1534342
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2024 Per Musi
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Excepto cuando se indique lo contrario, el contenido de este sitio está sujeto a una Licencia Creative Commons - Atribuição 4.0 Internacional.
