Utilizing Game Mechanics to Increase Motivation in an Interactive Mediated Guitar Learning Environment
Author
Clark, Ty
Term
4. term
Education
Publication year
2011
Submitted on
2011-05-27
Pages
105
Abstract
Specialet undersøger, hvordan spilmekanikker kan bruges til at øge motivationen i et interaktivt, medieret læringsmiljø for guitar (fx en digital platform). Det forklarer centrale mekanikker, såsom tydelige mål, niveauer, udfordringer, hurtig feedback og belønninger, og hvordan de kan strukturere øvning i små, opnåelige trin. Arbejdet drøfter designhensyn ved at integrere disse elementer uden at fjerne fokus fra den musikalske læring: balancen mellem kortsigtede belønninger og langsigtet kompetence, støtte til autonomi og mestring samt fremme af kontinuerlig øvning frem for engangsleg. Det peger også på mulige faldgruber, herunder overdreven fokus på point eller mærker (badges) og risikoen for at begrænse kreativiteten. Specialet giver praktiske retningslinjer til undervisere og udviklere om at bruge spil-inspireret design til at gøre guitarøvning mere engagerende, samtidig med at kvaliteten i undervisningen bevares.
This thesis examines how game mechanics can be used to increase motivation in an interactive, mediated guitar learning environment (for example, a digital platform). It explains key mechanics—such as clear goals, levels, challenges, timely feedback, and rewards—and how they can shape practice into small, achievable steps. The work discusses design considerations for integrating these elements without distracting from musical learning: balancing short-term rewards with long-term skill development, supporting autonomy and mastery, and encouraging consistent practice rather than one-off play. It also reflects on potential downsides, including an overemphasis on points or badges and the risk of limiting creativity. The thesis offers practical guidance for educators and developers on using game-inspired design to make guitar practice more engaging while preserving the quality of instruction.
[This abstract was generated with the help of AI]
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