Field of work
Tine Grieg Viig is an associate professor of music education at the Department of Fine Arts, Faculty of Teacher Education, Culture and Sport at Western Norway University of Applied Sciences. She has a PhD in music education from the Grieg Academy, Faculty of Fine Art, Music and Design at the University of Bergen, and has an office at Kronstad.
Background
My education is mainly related to music education, where I have immersed myself in composing and creative practices in music. I work with graphic notation and contemporary music, and have written for, among others, one of Norway's best vocal ensembles for female voices: Volve Vokal. In recent years, I have also explored different approaches to co-creation with generative artificial intelligence, both as a composer and in the course Co-creativity with Artificial Intelligence.
Right now I'm working on...
As a researcher and teacher (which for me are two sides of the same coin), I am particularly interested in creative work and creativity, post-critical pedagogy, and how generative artificial intelligence and technology can contribute to new approaches to, and critical reflection on, education, research and learning. In recent years, I have worked on developing new topics and teaching methods related to these topics. Together with students and colleagues, I focus on questions related to, among other things, ethical issues, critical reflection, philosophical and practical approaches to technology/GenAI in the learning situation, creativity as sustainability, and what learning, teaching and research are and can be in an accelerating post-digital education system.
Three key themes I always bring with me into learning situations are sharing cultures, professional integrity and learning communities. As a rule, I therefore often choose interactive learning tools both in online teaching, on-site classroom teaching, and hybrid learning communities. You are welcome to participate in the joint development of competence in artificial intelligence and education on the modules Artificial Intelligence in Everyday Work: Reflection, Practice and Professional Development and The Supervisor, the Student and Generative Artificial Intelligence. In addition, I work in primary and lower secondary teacher education, master's in fine arts, and teacher education in practical and aesthetic subjects, and am a supervisor for PhD candidates.
Network
At Western Norway University of Applied Sciences, I am, among other things, the Faculty of Education, Culture and Sports' representative to the AI coordination group. There I am also active in the subgroups AI in learning and teaching, as well as AI in research and external funding.
One of my tasks is also related to MishMash: Centre for AI and Creativity, where I am a board member and researcher involved in work package 4 (Creative use of AI in education), and lead a group of committed MishMash'ers internally at HVL.
Research groups
- KUN812, Creative collaborations with AI, 25/26
- MGBMU101, Music 1, module 1 - Basic music teacher competence, 25/26
- MGBMU201, Music 1, module 2 - The pupil and musical cultural contexts, 25/26
- MGBMU502, Music 3, module 2 - Artistic research, 25/26
- MGBMU503, Music 3, module 3 - Music education: Foundations and emerging trends, 25/26
- MGBMU550, Music 3, module 4 - Master's thesis, 25/26
- MGUMU301, Music 2, module 1 - Musical encounters in and outside the classroom, 25/26
- MGUMU550, Music 3, module 4 - Master's thesis, 25/26
- MKUF501D, Musical identities and profession knowledge, 25/26, subject responsible
- MKUF504, Philosophy of science and methodology, 25/26
- MKUF550, Master's thesis, 25/26
- PHD901, Bildung and pedagogical practices, 25/26
- UPED852, Subject didactics specialization in university pedagogy, 25/26, subject responsible
Publications
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AI + human collaborations in creativity and music education
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KI som musikalsk partner
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Kan vi snakke om læring — på nytt?
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MineMixMusics: Exploring co-creative learning processes in postdigital music education
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Becoming post-researchers in a Nordic music education context