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Prof. Alf Inge Wang
Norwegian University of Science and Technology (NTNU)

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0 Game Technology
0 Game-based Learning
0 Learning Technology
0 Software Architecture
0 Software Engineering

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Short Biography

Alf Inge Wang is a professor in game technology at Dept. of Computer Science at the Norwegian University of Science and Technology (NTNU), where he teaches programming, game development, and software architecture. His research interests include game-based learning, exergames, game technology, serious games, software architecture, and software engineering. The research has resulted in over 120 international peer-reviewed publications. Wang is co-inventor/co-founder of the game-based learning platform Kahoot! with 70 million monthly active users across the world. Wang’s work with Kahoot! has resulted in several awards, including the Norwegian Tech Award 2014. He has also co-founded other startups, including PlayPulse developing high-intensive exergames, Maenage providing a solution for gamifying house chores, and BitPet developing games to improve physical and social health. He has also been involved in the EduApp4Syria project, where the goal is to provide high-quality literacy game apps to teach Syrian out of school children to read.

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Journal article
Published: 14 October 2020 in Sustainability
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Educational game design is a complex process demanding multi-dimensional focus in a heterogeneous team to balance multiple aspects. The existing Game-based learning (GBL) frameworks detail the required knowledge but are hard to use in design practice. Conversely, card-based design tools are a lightweight approach used to assist the early design phase. While several game design cards exist, none is specific for informing GBL knowledge. There is a lack of operationalizable approaches for designing learning games that integrate research based GBL knowledge into the actual ideation process. This paper presents a card-based GBL ideation toolkit to reduce the complexity of framework application and introduction of key GBL concepts in the design process as a tangible reference point to facilitate multi-dimensional focus, supporting idea generation, critical reflection, and creation of a shared understanding in the collaborative design process. The paper describes a ten-step process of transforming the LEAGUE framework into the LEAGUE toolkit (GBL ideation cards), an evaluation of the toolkit with design workshop participants, and design lessons detailing strengths and limitations to support GBL design practices.

ACS Style

Rabail Tahir; Alf Wang. Transforming a Theoretical Framework to Design Cards: LEAGUE Ideation Toolkit for Game-Based Learning Design. Sustainability 2020, 12, 8487 .

AMA Style

Rabail Tahir, Alf Wang. Transforming a Theoretical Framework to Design Cards: LEAGUE Ideation Toolkit for Game-Based Learning Design. Sustainability. 2020; 12 (20):8487.

Chicago/Turabian Style

Rabail Tahir; Alf Wang. 2020. "Transforming a Theoretical Framework to Design Cards: LEAGUE Ideation Toolkit for Game-Based Learning Design." Sustainability 12, no. 20: 8487.

Journal article
Published: 03 May 2018 in Information
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Domain Analysis (DA) plays an important role in Model Driven Development (MDD) and Domain-Specific Modeling (DSM). However, most formal DA methods are heavy weight and not practical sometimes. For instance, when computer games are developed, the problem domain (game design) is decided gradually within numerous iterations. It is not practical to fit a heavy-weight DA in such an agile process. In this research, we propose a light-weight DA which can be embedded in the original game development process. The DA process is based on a game ontology which serves for both game design and domain analysis. In this paper, we introduce the ontology and demonstrate how to use it in the domain analysis process. We discuss the quality and evaluate the ontology with a user acceptance survey. The test result shows that most potential users considered the ontology useful and easy to use.

ACS Style

Hong Guo; Shang Gao; Hallvard Trætteberg; Alf Inge Wang; Letizia Jaccheri. Ontology-Based Domain Analysis for Model Driven Pervasive Game Development. Information 2018, 9, 109 .

AMA Style

Hong Guo, Shang Gao, Hallvard Trætteberg, Alf Inge Wang, Letizia Jaccheri. Ontology-Based Domain Analysis for Model Driven Pervasive Game Development. Information. 2018; 9 (5):109.

Chicago/Turabian Style

Hong Guo; Shang Gao; Hallvard Trætteberg; Alf Inge Wang; Letizia Jaccheri. 2018. "Ontology-Based Domain Analysis for Model Driven Pervasive Game Development." Information 9, no. 5: 109.