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Diplomsko delo je namenjeno učiteljem naravoslovja, tehnike in tehnologije ter učiteljem fizike v primarnem in sekundarnem izobraževanju. Namenjeno je tudi študentom tehnike in fizike za načrtovanje tehniških in naravoslovnih dni, ali pa za načrtovanje drugačnih učnih ur s podporo informacijsko-komunikacijskih tehnologij. V diplomskem delu je pregled vsebin zvoka učnih načrtov naravoslovja, tehnike in tehnologije, fizike ter glasbe v primarnem in sekundarnem izobraževanju. Pregledani so pojmi, ki jih učenci spoznajo pri predmetih in pri medpredmetnih povezavah. Na kratko je opisano tudi zaznavanje zvoka in posledično relacije med toni, ki so potem urejeni v določene tonske sisteme. Prikazane so tudi razlike v zvenu. Obdelana je tudi osnova obdelave signalov s Fourierovo analizo, prikaz frekvenčnih spektrov ter algoritma Hitre Fourierove transformacije, ki ga uporabljajo mobilne aplikacije. Opisane in primerjane so mobilne aplikacije za spektralno analizo zvoka, opisana je tudi njihova uporaba na primerih. Diplomsko delo pušča odprte možnosti za nadaljnje raziskovanje poskusov z mobilnimi aplikacijami za spektralno analizo zvoka. The thesis is intended for teachers of science and technology in junior high school and high school. It is also intended for students of science and technology to plan technical and science days, or to plan different learning lessons with the support of information and communication technologies. In the thesis is an overview of the sound content in the curricula of Science, Technology and Music in Primary and Secondary Education. The concepts that students learn about courses and cross-curricular connections are reviewed. A brief description of the perception of sound is also described, and consequently relations between tones, which are then arranged in certain tone systems. Differences in timbre are also shown. The basis of signal processing with Fourier analysis, the display of frequency spectra and the Fast Fourier transformation algorithm used by mobile applications are also discussed. Three mobile applications for spectral analysis of sound are described and compared, and their use on cases is described. The diploma work leaves open possibilities for further research of experiments with mobile applications for spectral analysis of sound. |
