Reykjavik University

06/10/2025 | Press release | Distributed by Public on 06/10/2025 10:25

29 milljónum króna úthlutað úr Kennsluþróunarsjóði HR

10. júní 2025

29 milljónum króna úthlutað úr Kennsluþróunarsjóði HR

Úthlutun úr Kennsluþróunarsjóði Háskólans í Reykjavík fór fram þann 13. maí sl. Fyrsta úthlutun sjóðsins var árið 2019, en sjóðurinn hefur það markmið að efla kennslu og gæði kennslu við skólann, ásamt því að stuðla að nýmælum í kennsluháttum. 

Það voru fjölbreytt og afar spennandi verkefni sem bárust sjóðnum, en alls voru veittar rúmlega 29 milljónir í einstök verkefni, alls 18 talsins. 

Hér fyrir neðan má sjá frekari upplýsingar um verkefnin:

  • Brynjar, Anna Sigríður Islind og Hafrún Kristjánsdóttir.  
  • Deildir: Sálfræði-, tölvunarfræði og íþróttafræði.  

Brief description of the project: The project is about developing specialised teaching materials for students and healthcare professionals to support the implementation of a new digital solution for anxiety in children within the Icelandic healthcare system. The materials will be developed in collaboration with experts from Oxford University and will be used in teaching and lifelong learning across the country. The project benefits students in their studies at RU while also strengthening RU's position as a leader in digital health solutions and interdisciplinary innovation

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  • Michael S. Moorhead, Ármann Gylfasson og Ásgeir Ásgeirsson 
  • Deildir: Verkfræði- og Tæknifræðideild 

Brief description of the project: Through this project, students will gain opportunities to expand their scope of competencies by applying their knowledge in creating and competing in a racing competition in 2026.  

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  • Yngvi Björnsson.  
  • Deild: Tölvunarfræðideild 

 Brief description of the project: This project aims to enhance the foundational second-term computer science course "Data Structures" to offer students a comprehensive learning experience in today's AI-driven landscape. The grant will allow faculty to do extensive changes for the benefit of better learning outcomes for the students. 

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  • Henning Arnór Úlfarsson og Steinunn Gróa Sigurðardóttir.  
  • Deild: Tölvunarfræðideild 

Brief description of the project: With this grant, the recipients will be able to do comprehensive changes in undergraduate courses at the computer science department by developing multiple structured assessments to increase learning outcomes. 

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  • Hlynur Arnórsson.  
  • Deild: Tæknifræðideild 

Brief description of the project: The recipient of the grant will write a book with focused teaching material to support both teaching and learning at the Department of Applied Engineering.

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  • Magnús Már Halldórsson 
  • Deild: Tölvunarfræðideild 

Brief description of the project: The project ChatTutor leverages the power of generative AI to power-up the learning experience while avoiding the pitfalls of LLM tools. The tutor provides a framework that allows the students to train themselves in course concept without the dangers of hallucinations or bogus information. During the fall 2025 semester, it will be first applied in the course Algorithms in the Computer Science department.

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  • Hafrún Kristjánsdóttir, Hjalti Rúnar Oddson, Ingi Þór Einarsson, Peter O´Donahue, Jose Saarvedra, Kristján Halldórsson, Sveinn Þorgeirsson. 
  • Deild: Íþróttafræðideild 

Brief description of the project: The project aims to improve knowledge about the specific needs of women in sports by producing ten educational lectures for sports science courses and short micro-lectures for teenage girls, coaches and parents. The material is based on research that specifically focuses on women and discusses, among other things, the impact of the menstrual cycle and puberty on performance and injury risk. The lectures will be accessible through the Abler app and within HR. The goal is to strengthen education, reduce girls' dropout from sports and promote a more equitable and evidence-based approach to training.

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  • Guðmundur Kristjánsson og Baldur Þorgilsson.  
  • Deild: Tæknifræðideild 

Brief description of the project: The LO Matrix helps teachers and administrators analyse and improve the connection between courses and learning outcomes with an automated overview that saves time and strengthens the quality of learning.

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  • Rannveig Sigurvinsdóttir, Þórhildur Halldórsdóttir og Luca Aceto 
  • Deildir: Sálfræði- og tölvunarfræðideild 

Brief description of the project: This project explores the use of artificial intelligence (AI) as a tool to support grading in university courses. A collaboration between Psychology and Computer Science, with assistance from Teaching Development, this project will test whether AI can assist teachers in grading open-ended student work accurately, fairly, and efficiently. It will also explore ethical questions around data privacy, bias, and sustainability, and include feedback from both students and faculty. The goal is to provide teachers at RU with practical tools and guidance for using AI in assessment-making grading more manageable while maintaining academic integrity. The project aligns perfectly with RU's commitment to innovative, responsible, and student-centred teaching. 

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  • Harpa Guðjónsdóttir.  
  • Deild: Tölvunarfræðideild 

Brief description of the project: The project aims to improve programming education with a focus on increased access to learning materials, more effective feedback, and alignment with industry needs. This includes the production of concise instructional videos, the development of automated grading of assignments that contributes to increased quality and effectiveness of feedback, as well as professional development of teachers to ensure that the content remains in line with the latest trends in the industry.

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  • Arnljótur Ástvaldsson.  
  • Deild: Lagadeild  

Brief description of the project: The project involves both research work and writing a textbook on Icelandic Corporate law, especially limited liability company law, for the course on Company Law taught in the first year of undergraduate law in the Department of Law. In recent years, the main teaching material of the course has been in the form of chapters from a book on limited liability Company Law. It is important, however, that the course provides basic teaching material that takes into account the structure and emphases of the course, as well as recent developments in legal practice in the field of Company Law.

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  • Szabolcs-Endre Horvát.  
  • Deild: Tölvunarfræðideild  

Brief description of the project: This project aims to develop step-by-step video guides for solving calculus problems, tailored specifically to the Calculus for Computer Science course. The videos will be complemented by written solutions that demonstrate good mathematical writing, as well as interactive GeoGebra visualizations that the students can use to gain an intuitive / visual understanding of problems. These guides are designed for long-term use and will serve as a lasting resource for students for several years to come.

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  • Sigurður Ingi Erlingsson og Andrei Manolescu 
  • Deild: Verkfræðideild 

Brief description of the project: Lab experiments and data analysis are an important part of undergraduate engineering education. Labs are conducted alongside traditional lectures and problem-solving classes in the courses Physics 1 and Physics 2. Students' experience with lab work varies greatly, and therefore traditional teaching methods (students reading the worksheet before lab sessions) have not worked as intended. By creating video material to support the traditional work-sheets and using quizzes to encourage students use the video material, the students' preparation for lab sessions should improve significantly.

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  • Sveinn Þorgeirsson og Hjalti Rúnar Oddsson.  
  • Deild: íþróttafræðideild  

Brief description of the project: The project involves developing three new, progressively structured 2 ECTS courses based on an existing research course in the undergraduate program in sport science.
The courses will be delivered in a blended format and aim to enhance students' practical skills in measurement and research. Work will include developing course descriptions, instructional videos, and assignment guidelines. The recipients will hire an assistant / student to create content production where applicable. The project supports improved utilisation of research equipment and enhanced teaching quality.

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  • Freyja Thoroddsen Sigurðardóttir 
  • Deild: Viðskipta - og hagfræðideild 

Brief description of the project: This project explores how universities abroad are using active learning and integrating AI into teaching. Through two short visits to an Estonian university and a Norwegian university, the aim is to gather ideas and inspiration that can inform teaching practices at RU. The project focuses on how teachers are supported in trying new methods, and how lessons learned elsewhere might translate into our own environment.

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  •  Marcel Kyas og Joseph T. Foley  
  • Deild: Tölvunarfræðideild    

Short description of the project: This project focuses on further development of the course Cyberphysical Systems and Mechatronics 1. With the grant, the recipents will be able to enable development in ROS2, which will expand the student's ability to design and implement cyber-physical systems faster and more structured. The envisaged software architecture and the proposed format will also allow us to add activities related to the Internet of Things, safety engineering, and cybersecurity.

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  • Gunnar Þorgilsson, Sigurður I. Erlingsson og Ingunn Gunnarsdóttir 
  • Deild: Tækni- og verkfræðideild 

Brief description of the project: Guidelines for students on the responsible and constructive use of chatbots in problem-solving. Since conversational AI is a new technology that is currently evolving very rapidly, the creation of these guidelines will involve significant work in mapping out the strengths and weaknesses of different AI models - that is, identifying which types of questions are likely to yield reliable answers for students, and which types are more likely to result in fabricated or inaccurate responses. The guidelines should also serve as an efficient guide for students on how to use conversational AI in a way that doesn't undermine their own.

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  • Grischa Liebel
  • Deild: Tölvunarfræðideild 

Brief description of the project: At RU, Computer Science students are introduced to web and mobile software in their first year. However, this often narrows their focus, leaving them with limited experience in developing complex cyber-physical systems. This restricts innovation in Iceland by confining graduates to a narrow field. To broaden their perspective, we will revise the third-term Software Engineering I course to include basic embedded systems projects, such as automated weather stations or physical games. This change aims to spark interest in interdisciplinary applications and foster stronger interdepartmental collaboration, ultimately boosting innovation in cyber-physical systems in Iceland.

Dagsetning
10. júní 2025
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