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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
81

Hur uttrycker jag det här? : En självstudie om kroppsliga uttryck vid sceniska framträdanden. / How do I express this? : A self-study of bodily expression in singing performances

Persson, Oskar January 2016 (has links)
Syftet med arbetet är att undersöka en sångares kroppsliga gestaltning av ett musikstycke vid musikaliskt framträdande. Detta har undersökts genom videofilmning av framträdanden, och analyser av dessa med fokus på kroppsliga uttryck. Till detta har loggbok förts över tankar och händelser från framträdandena. I analysen av framträdandena har som teoretiskt perspektiv ett multimodalt designteoretiskt perspektiv använts. I resultatet presenteras hur olika resurser används, hur dessa resurser samspelar och hur de påverkar varandra. Det framkommer att den kroppsliga gestiken har två huvuduppgifter vid framträdanden, dels att vara stödjande för sångtekniken samt uttrycka och gestalta ett budskap. Det framkommer också att inre visuella bilder används, dels för att gestalta och förmedla ett budskap. I diskussionen diskuteras olika förutsättningar för framträdanden utifrån det designteoretiska perspektivet och den tidigare forskning som tagits upp i bakgrundskapitlet. / The purpose of this study is to examine the singer’s physical disposition when performing a piece of music. This has been investigated by video documented performances and analysis with a focus on bodily expressions. To transfer the thoughts and events from the different performances, I have used a logbook. The multi-modal design theory perspective has been used as a theoretical perspective in the analysis of the performances. The result shows how the various resources are used and how these resources interact and how they affect each other. The bodily gestures have two main tasks during the performances: to be supportive of vocal technique and to express and portray a message. Results emerge indicating that the internal visual images are used to partly portray and convey a message. In the discussion chapter different aspects for the performance are discussed based on the design theoretical perspective and the previous research raised in the background chapter.
82

Kan jag öva utan att sjunga? : en självobservationsstudie av instudering i sång / can i practise without singing? : a selfobservation studie of studing singing.

Strömberg, Per January 2018 (has links)
Syftet med denna självobservationsstudie är att utforska tillvägagångssätt vid instudering av sång utifrån ett textfokus. I detta arbete beskrivs huvudsakligen tre metoder för sig och när de används kombinerat. Metoderna till instudering är lyssna, rösten och skriva.  Studien är baserat på sociokulturellt perspektivet samt annan relevant information om instudering. Metoden som används i arbetet är videor från övningstillfällen samt loggbok som antecknats efter varje övningstillfälle. Studien är baserad på mig själv där jag under två veckor fört 14 loggboksinlägg och två videoinspelningar när jag aktivt arbetar i 20 minuter per inlägg under hösten 2017. I resultatet visas hur jag använt de tre metoder som är min röst, skrift och hörseln som användes vid instudering av två olika sånger. Slutligen diskuteras resultatet i förhållande till bakrundskapitlet. / This self-observation purpose is to find new ways to learn song with text focus. The study presents three different methods for them self and when they are integrated in each other. The methods that been used is listening, The voice and writing. The study is based on Sociocultural perspective and other relevant research when it comes to studding songs. the method I’ve used for this study is video recording when I practise and notes from practise sessions. For two weeks, I gathered information and 14 practice sessions with two films. One session was 20 minutes each and was gather autumn 2017. Later on, in the result I will present how I used these three methods which are voice, writing and listening which I used to learn the two-different song. At the end the result will be discussed to the earlier research.
83

Kan du läsa? : En observationsstudie i en pianists metoder för att spela noterade stycken / Can you read? : An observational study of a pianist’s methods for playing pieces from sheet music

Sangsta, Jens January 2018 (has links)
Med utgångspunkt i min bristande notläsningsförmåga är syftet med föreliggande studie att undersöka vilka resurser utöver själva noterna som jag använder vid inlärningen av ett noterat musikstycke. Detta sker via videoobservation, dikterad loggbok, samt insamling av tidigare data. Tre olika övningspass á 20 minuter ligger till grund för resultatet. Dessa analyserades och bearbetades utifrån ett designteoretiskt perspektiv. I resultatet beskrivs vilka resurser jag använde, hur de användes, samt varför de användes. I diskussionsdelen belyses resultatet utifrån ett designteoretiskt perspektiv, jag resonerar kring behovet av att använda dessa resurser, samt diskuterar orsaken till min problematik och vägen framåt. / Based on my lacking ability to read sheet music, the purpose of this study is to examine what resources beyond the music notation I use in the process of learning a piano piece from sheet music. This is done through video observation, a dictated journal, and collection of previously available data. Three separate practice sessions of 20 minutes each is the basis for the result. These were analyzed and processed based on a design theoretical perspective. The result describes which resources I used, how they were used, as well as why they were used. In the concluding discussion section, I illuminate the result from the perspective of design theory, I argue regarding the need to use these resources, as well as discuss the cause of my problems and a possible way forward.
84

Sch, bänkboken talar! : En litteraturstudie om hur och varför den tysta läsningen bör bli dialogisk / Please be quiet, the book is talking! : A literature study about how and why the silent reading should become dialogical

Jennebo, Hanna January 2013 (has links)
Syftet med denna studie är att undersöka om den tysta läsningen i grundskolans tidigare år behöver ändras, varför detta behövs samt hur den kan ändras. Till grund för studien skrevs tre frågeställningar. Dessa lyder:   Behöver den tysta läsningen förändras- varför? Hur kan den tysta läsningen i skolan utvecklas? Hur kan utvecklandet av tyst läsning gynna elevernas läsande och livslånga lärande?   Studien genomfördes genom en litteraturstudie av forskning och annan litteratur. Litteraturen och stoffet analyserades genom Vygotskijs och det sociokulturella perspektivet.   Det undersökningen visat är att läsförmågan i Sverige sjunkit och att den fortsätter att sjunka. För att ändra på detta behövs mer undervisning i lässtrategier. En förändring i momentet tyst läsning är därför av vikt. Om en sådan förändring skulle medföra ökade resultat går inte att säga, det behövs det större undersökningar för att ta reda på.   En förändring från den enskilt tysta läsningen till en tyst läsning där samtalet och innehållet i texten får en större betydelse visar undersökningen är att föredra. Detta innebär inte att den tysta läsningen ska försvinna. Den enskilda läsningen behövs också, då avkodning är en viktig förmåga för att utveckla goda läsare. Däremot visar studien att genom att samtala om lässtrategier, lyfta olika tolkningar och få ett dialogiskt klassrum där elevernas frågor är av vikt, kan vi utveckla bättre läsare i skolan. / The aim of this study is to see if the silent reading in the early school years in Sweden needed to change. The purpose was also to see how this educational moment could change and what benefit the students learning could have of this change. To answer this aim some question was written. These where:   Does the silent reading need to change - why? How can the silent reading in school develop? How can the development of this educational moment benefit the students’ lifelong learning and reading skills?   The study where executed thru a literature study with both research- and other literature material. These where analyzed thru Vygotskijs and the sociocultural perspective on learning.   The study shows that the reading ability in Swedish school has dropped and continues to drop. To change this down going pattern more education in reading strategies are necessary. A change in the silent reading is therefore important. The study cannot say if a change would increase Swedish students reading ability. A larger research is needed to see this.   A change in the silent reading, from an individual work, to a moment where the conversation and content of the text get larger space, are something the study shows as an important change. This does not exclude the silent reading as an individual work. It is necessary to read much to increase the reading fluency. This is a significant part of becoming a good reader. Though the study shows that this is important, the education need more conversations and education about reading strategies. If we teachers lift different aspects of the text and create a dialogical classroom where the students’ questions matters the development of good readers will have a significant chance of growing.
85

Digital Loggbok/Portfolio : Ett sätt att nå elever som är ute på APL / Digital Logbook/Portfolio : A way to reach students in work-placed learning

Spelling, Helen January 2014 (has links)
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Spetskompetens genom breddning? : En observationsstudie med fokus på att sjunga med fyllig klang i högre tonlägen utifrån sångmetoden komplett sångteknik. / Excellence through broadening? : An observation study with focus on how to sing with full sound in higher pitches based on the vocal method Complete vocal technique.

Löfberg, Miriam January 2018 (has links)
Syftet med studien är att få en fördjupad insikt i vad lärandet av sångtekniken neutral utan luftinnebär. För att undersöka detta har jag under en fem veckors period övat neutral utan lufti 20-30 minuter, tre dagar i veckan. Under och efter övningspassen har loggbok använts för att dokumentera nya upplevelser av lärandeprocessen och utöver detta har även 5 videodokumentationer av övningspass gjorts. I denna studie utgörs den teoretiska utgångspunkten av ett designteoretiskt perspektiv med fokus på vilka semiotiska resurser som används i lärandet. Studiens frågeställningar är: Vilka teckenskapande resurser används vid inlärningen av den nya funktionen så kalladneutral utan luft? Hur används dessa resurser? Resultatet visar att de viktigaste resurserna är kroppen och de sångtekniska elementen. Dessa resurser används för att åstadkomma ett stadigt och önskvärt resultat på ett oskadligt vis. I diskussionskapitlet diskuterar jag de resurser som krävts i inlärningen av sångtekniken neutral utan luft. / The purpose of the study is to gain a deepened insight in what the learning of the singing technique neutral without aircan mean. To study this I have practiced neutral without air20-30 minutes per day, three times a week over a five weeks’ period. During and after every practice session I have written a log to document new personal experiences of the learning process. In addition to this I have documented five practice sessions with a video camera. The theoretical perspective of this study is design theory with focus on the semiotic resources used during the learning process. The study’s research questions are: Which semiotic resources are used during learning the song technique known as neutral without air? How are these resources used? The results show that the most central resources that were used were the body and the vocal elements of the technique. These resources are used to achieve a steady and desirable result in an innocuously manner. In the discussion, I describe the necessary resources for the learning process of the song techniqueneutral without air.
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Snabba glasögon : En självstudie av avistaövning för el- samt klassisk gitarr / Speed reading : A self-study of sight reading for electric and classical guitar

Rognås, Oskar January 2020 (has links)
I tid och otid har elgitarrister fått dras med stigmat att vara bristfälliga notläsare. Rimligtvis borde det gå att lösa med lite övning, men hur ska en strukturera upp sådan övning och ger det några resultat? Deras motparter i den klassiska genren åtnjuter inte samma stämpel, tack vare dess långa tradition av notläsning. Kan svaret ligga hos den klassiska gitarrens läroresurser som bara behöver översättas till elgitarr för att notläsningen ska ta fart? I denna självstudie utforskar jag min egen övning på avistaläsning för både el- och klassisk gitarr med hjälp av en videodagbok, analyserad ur ett multimodalt designteoretiskt perspektiv. / Time and again, electric guitarists have had to live with the stigma of being deficient note readers. Presumedly, this should be solvable with a little practice, but how should one structure such practice and does it produce results? Their counterparts in the classic genre do not inherit the same label, thanks to their long tradition of reading sheet music. Could the answer lie with the classical guitar's teaching methods that need only to be translated into electric guitar for the sheet music reading to take off? In this self-study, I explore my own exercise in sight reading for both electric and classical guitars with the help of a video diary, analyzed from a multimodal perspective.
88

Digital multimodal loggbok som bro mellan lärare och studenter på yrkeslärarutbildningen / Digital Multimodal Log Book as a Bridge between Teacher and Students in Vocational Teacher Education

Ådefors, Annica January 2020 (has links)
Syftet med denna studie är att undersöka vilken potential en digital multimodal loggbok kan ha som digital bro mellan studenter och lärarutbildare under den verksamhetsförlagda delen av utbildningen (VFU) för att stötta studenterna i deras profession- och kunskapsutveckling, med hjälp av sociosemiotiska resurser, såsom digitala verktyg. Jag har undersökt hur en grupp yrkeslärarstudenter använder de sociosemiotiska resurser som erbjuds i den multimodala loggboken under deras VFU, för att kommunicera kunskaps- och professionsutveckling via en digital bro till lärosätet. Genom textanalys, inspirerad av hermeneutiken – och i termer av ett vidgat textbegrepp – undersöks studenternas arbete i de digitala, multimodala loggböckerna. Resultatet redovisas och diskuteras med fokus på studenternas användning av sociosemiotiska resurser och multimodaliter. Valet av textanalys som metod föregicks av en önskan att identifiera de faktorer som påverkade kommunikationen via digitala broar i en digital multimodal loggbok.  Undersökningen omfattade 13 loggböcker som har analyserats från helhet till del vid fem tillfällen. Resultatet visar att de studenter som hade digitala förkunskaper kunde kommunicera sina förväntningar och sitt lärande i loggböckerna med hjälp av de erbjudna sociosemiotiska resurserna. De studenter som hade begränsade digitala förkunskaper har inte använt de resurser som erbjöds vilket resulterade i att det åsyftade meningsskapandet gick förlorat i denna kontext. / The purpose of this study is to investigate what potential a digital multimodal logbook can have as a digital bridge between students and teacher educator during the practice-based part of the education, to support students in their professional development as well as in their development of knowledge. Socio-semiotic resources, such as digital tools, were used for this purpose. I have studied how a group of student teachers use the semiotic resources offered in the digital multimodal logbook during the practice-based part of their education, aiming to communicate their professional development and their knowledge development by a digital bridge to the university. By using text analysis, influenced by a hermeneutic model, I have studied what can facilitate, but also prevent students' work in the logbooks and the result are discussed in relation to the concept of semiotic resources and multimodality. Through a text analysis, influenced by a hermeneutic modell – in terms of an expanded text concept – are the students work in the digital multimodal log books investigated. The results are reported and discussed with a focus on the students’ use of socio-semiotic resources and multimodalities. The reason for using text analysis as a method was a desire to identify factors that could influence communication through digital bridges in a digital multimodal logbook. The study contained 13 logbooks who have been analysed from whole to parts at four occasions. The results show that students with digital knowledge could communicate their expectations and their learning by using the socio-semiotic resources that were offered. Students with limited basic digital knowledge did not use the resources they were offered which resulted in the fact that they lost the opportunity to create meaning in this context by using the offered resources.
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Övning : Strategier, resurser och effektivitet ur ett designteoretiskt perspektiv / Practice : Strategies, resources and efficiency from a perspective of design theory

Kohring, Bajo January 2016 (has links)
Detta arbete syftar till att utforska hur övning på fiol kan designas för att den ska kännas meningsfull och effektiv. Studiens forskningsfråga är: Vilka semiotiska resurser använder jag mig av när jag övar terser på fiol? För att undersöka detta har jag under ett år gjort tekniska övningar med hjälp av olika övningsstrategier för att se progressionen i min utvecklingsprocess. Studiens metod är videoobservation och loggboksskrivande och arbetet utgår från ett designteoretiskt perspektiv. Resultatet presenteras i två teman: Semiotiska resurser för dokumentation och Semiotiska resurser för motivation och progression. I diskussionen problematiserar, belyser och jämför jag studiens slutsatser med forskning och litteratur inom området. / The purpose of this study is to explore how practice can be designed in a meaningful and effective way. The research question is: What kind of semiotic resources do I use during practice thirds on the violin? The study is based on technical exercises used over a period of one year, the used method is video observations and logbook notes and the perspective is design theoretical. Two themes are presented as result: Semiotic resources for documentation and Semiotic resources for motivation and progression. In the last chapter, I discuss, problematize and compare the result with literature and research in the field.
90

Irländsk Folkmusikwannabe : En självstudie i att appropriera irländsk ornamentik på fiol / Irish trad music wannabe : A self-study about appropriating ornamentation in irish traditional music on fiddle

Höglund, Evelina January 2018 (has links)
Syftet med denna studie är att utforska mitt egna lärande i processen med att appropriera den ornamentik som är en central del i den irländska folkmusikkulturen. Syftet stärks med följande forskningsfrågor: Med vilka redskap tillägnar jag som lärling mig ornament från den irländska folkmusiktraditionen? samt I vilken utsträckning har jag approprierat irländsk ornamentik efter en period på tio veckor? Arbetet är baserat på ett sociokulturellt perspektiv med stark betoning på mästarläran. Detta ingår i bakgrundskapitlet tillsammans med relevant litteratur med inslag av tidigare forskning på området. Exempel på vad som tas upp är förklaringar om specifika ornament samt en översiktlig beskrivning av den irländska folkmusiktraditionen. Studien baseras på videoobservation av mig själv samt genom egna loggboksanteckningar. Resultatet presenteras med hjälp av olika rubriker; exempelvis olika redskap under enskilda fiollektioner, tillägnande av yrkesidentitet samt jag och min mästare. Avslutningsvis diskuteras resultatet i förhållande till litteraturen samt tidigare forskning där bland annat min etniska tillhörighet och outtalade regler vid sessions nämns. Här diskuteras även variation och improvisation samt vilka redskap som tillfört mest till min lärandeprocess. / The purpose of this thesis is to explore my own learning in the process of appropriating the kind of ornamentation that is a central part of the Irish trad music culture. The purpose is supported with these following reserch questions: Which tools do I use as an apprentice to appropriate the ornaments from the Irish traditional music culture? and To what degree have I appropriated the Irish ornamentation after a period of ten weeks? The thesis is based on a sociocultural perspective with a strong emphasism on master – apprentice teaching. This is included in the background chapter together with relevant litterature and earlier studies on this area. Explanations about specific ornaments and a brief description about the Irish trad culture are examples of what is brought up in the background chapter. The thesis is based on video observations of myself and by a written journal. The result is presented with several themes, for example different tools during individual fiddle lessons, adopting of professional identity and me and my master. In the conclution the results are discussed compared to the litterature and earlier research where my ethnical background and unspoken rules during sessions are mentioned. The discussion also include variation and improvisation together with which tools that have contributed the most to my process of learning.

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