Computational thinking is a problem-solving skill and is considered to be an important part of today’s digital literacy. As it is an evolving research field and an emerging subject within the K-12 educational systems there’s a need to develop methods and environments for teaching and assessing computational thinking as well as establishing a cohesive view of its definition. A concern with computational thinking is it's neigh synonymity with programming and computer science in a classroom environment as they share several concepts and because programming is an effective way to teach it.  Acknowledging this need for this separation as well as the need for developing educational environments this study explored the aspects of problem-solving and perception of computational problems in different environment.  This was explored through a quantitative study on late-stage K-12 students and how perceived and performed in different types of problem posing environments. These environments included the challenge of using programming concepts through gamification as a way of exploring methods of teaching and assessing computational thinking in a metaphorical and real-life simulated situation.  It wound up measuring the effects that different problems had on the confidence and expertise of computational thinking capabilities within this exploratory experiment. The findings suggest an indication that too much given context can confuse students and that alleviating mental workload is crucial when presenting computational thinking problems if the correct solution should be reached.

Many people face difficulties in remembering knowledge, which is complex and abstract. This is especially important when the descriptions of knowledge are to be stored in searchable knowledge bases. But if complex knowledge can be transferred through real life stories, it is more understandable and easier to retrieve for the knowledge acceptor. Moreover, if the stories follow a certain pattern like ‘intentional suspense’ it may be more useful. This study investigates how far a story with intentional interruption is helpful in transferring complex computer science knowledge through processing of information that compares similarities between new and well-understood concepts. The data collection was done by applying framework analysis approach through the interview of 40 students of Stockholm University. Results of this study is assumed to help organizations to design, store and retrieve complex knowledge structures in knowledge bases by using a specific pattern of the stories used in the narrative pedagogy known as 'Zeigarnik effect' which is a form of creating suspense. Interviews with managers showed that they are positive to using the type of knowledge transfer as is proposed in the results of this thesis. Transcribed interviews with students show that the students appreciate and understand the use of analogies in combination with the ‘Zeigarnik effect’ as is described in the result of this thesis. After analysis of the data collected from the experiments, it was confirmed that ‘Zeigarnik effect’ has a small positive effect for a group of people as better results have been found in most of the time when ‘Zeigarnik effect’ was used as compared to when the ‘Zeigarnik effect’ was not used. The participants that experienced the ‘Zeigarnik effect’ answered in a better way which proved that their understanding and memory regarding the subject have been enhanced using it.