I'm an assistant professor at NTNU Ålesund, Norway where my main topics of teaching is modern software development. With more than 20 years of industry experience, I have specialized in team management of software teams, project management, systems architecture and systems engineering methodologies (RUP, eXtreem Programming, SCRUM, KANBAN etc.). My research interests are mainly within teaching methodologies especially within ICT courses, and digital assessment. Phone: 70161287
In recent years, Flipped Classroom has been a well described approach to organizing a learning en... more In recent years, Flipped Classroom has been a well described approach to organizing a learning environment. The approach is, and has been, in use at many levels of educational systems in many parts of the world and within different subject areas. In this study, we narrow the scope and focus on the use of Flipped Classroom within higher Information Technology (IT) education in Norway. We want to investigate if Flipped Classroom is in use, and if so, to what degree? What are the stories from educators who have tried Flipped Classroom when teaching IT related courses in higher education? Through semi structured interviews we want to investigate the motivation behind choosing this pedagogical method, and the results of course deliveries in a Flipped Classroom setting. The findings suggest that the use of Flipped Classroom in higher Norwegian IT education is limited. The experiences of using the approach, conveyed through the interviews, are positive. Most students are satisfied. The tea...
It is easy to find motivation for flipping a classroom within existing research. Most importantly... more It is easy to find motivation for flipping a classroom within existing research. Most importantly the students will reportedly learn more. But there is a cost involved. The educator will need new course material likely videos. Without dedicated resources to handle the extra cost involved when flipping the classroom, the incentive to stay with the traditional lectures may be dominant. But does the transition need to be a 100% flip? In this experience report we look at a gradual flip. In an introductory database course, 9 out of 12 session were flipped. The course resources were a mix of earlier material combined with a limited set of new videos. The exercises were modified, but they were still heavily based on the exercises given the year before. How do the students experience a gradually flipped course? We interviewed students who did participate in the gradual flip and we conducted a survey. In this study we investigate student satisfaction with different parts of the course delive...
The Offshore Simulator Centre AS (OSC) is the world's most advanced provider of simulators for de... more The Offshore Simulator Centre AS (OSC) is the world's most advanced provider of simulators for demanding offshore operations. However, even though the OSC provides very powerful simulation tools, it is mainly designed for training purposes and it does not inherently offer any flexible methods concerning the control methodology. In fact, each crane model is controlled with a dedicated control algorithm that cannot be modified, accessed, or replaced at runtime. As a result, it is not possible to dynamically switch between different control methods, nor is it possible to easily investigate alternative control approaches. To overcome these problems, a flexible and general control system architecture that allows for modelling flexible control algorithms of maritime cranes and more generally, robotic arms, was previously presented by our research group. However, in the previous work, a generic game engine was used to visualise the different models. In this work, the flexible and general control system architecture is integrated with a crane simulator developed by the OSC taking full advantage of the provided domain-consistent simulation tools. The Google Protocol Buffers protocol is adopted to realise the communication protocol. This integration establishes the base for the research of alternative control algorithms, which can be efficiently tested in a realistic maritime simulation environment. As a validating case study, an alternative control method based on particle swarm optimisation (PSO) is also presented. Related simulations are carried out to validate the efficiency of the proposed integration.
This paper presents an analyzing and modeling scheme that can dig into the ship sensor data to ge... more This paper presents an analyzing and modeling scheme that can dig into the ship sensor data to generate models for ship motion prediction. As the raw sensor data contains information that is noisy and discontinuous, three data cleaning methods used for noise reduction, data continuing and resampling are developed. According to specific ship applications, various ship motion constraints are designed to filter and establish meaningful data sets which will be used in the modeling step. Correlation analysis within the data sets is performed to figure out how significant the sensor data contributes to the predictive target. An flexible neural network based modeling mechanism is implemented, in which the user can design the model based on the correlation analysis. By training and testing the neural network using the generated data sets, the ship motion predictive model is obtained. Through a case study of fine maneuvering, the scheme is verified efficient in analyzing and modeling sensor data for ship motion prediction.
In recent years, Flipped Classroom has been a well described approach to organizing a learning en... more In recent years, Flipped Classroom has been a well described approach to organizing a learning environment. The approach is, and has been, in use at many levels of educational systems in many parts of the world and within different subject areas. In this study, we narrow the scope and focus on the use of Flipped Classroom within higher Information Technology (IT) education in Norway. We want to investigate if Flipped Classroom is in use, and if so, to what degree? What are the stories from educators who have tried Flipped Classroom when teaching IT related courses in higher education? Through semi structured interviews we want to investigate the motivation behind choosing this pedagogical method, and the results of course deliveries in a Flipped Classroom setting. The findings suggest that the use of Flipped Classroom in higher Norwegian IT education is limited. The experiences of using the approach, conveyed through the interviews, are positive. Most students are satisfied. The tea...
It is easy to find motivation for flipping a classroom within existing research. Most importantly... more It is easy to find motivation for flipping a classroom within existing research. Most importantly the students will reportedly learn more. But there is a cost involved. The educator will need new course material likely videos. Without dedicated resources to handle the extra cost involved when flipping the classroom, the incentive to stay with the traditional lectures may be dominant. But does the transition need to be a 100% flip? In this experience report we look at a gradual flip. In an introductory database course, 9 out of 12 session were flipped. The course resources were a mix of earlier material combined with a limited set of new videos. The exercises were modified, but they were still heavily based on the exercises given the year before. How do the students experience a gradually flipped course? We interviewed students who did participate in the gradual flip and we conducted a survey. In this study we investigate student satisfaction with different parts of the course delive...
The Offshore Simulator Centre AS (OSC) is the world's most advanced provider of simulators for de... more The Offshore Simulator Centre AS (OSC) is the world's most advanced provider of simulators for demanding offshore operations. However, even though the OSC provides very powerful simulation tools, it is mainly designed for training purposes and it does not inherently offer any flexible methods concerning the control methodology. In fact, each crane model is controlled with a dedicated control algorithm that cannot be modified, accessed, or replaced at runtime. As a result, it is not possible to dynamically switch between different control methods, nor is it possible to easily investigate alternative control approaches. To overcome these problems, a flexible and general control system architecture that allows for modelling flexible control algorithms of maritime cranes and more generally, robotic arms, was previously presented by our research group. However, in the previous work, a generic game engine was used to visualise the different models. In this work, the flexible and general control system architecture is integrated with a crane simulator developed by the OSC taking full advantage of the provided domain-consistent simulation tools. The Google Protocol Buffers protocol is adopted to realise the communication protocol. This integration establishes the base for the research of alternative control algorithms, which can be efficiently tested in a realistic maritime simulation environment. As a validating case study, an alternative control method based on particle swarm optimisation (PSO) is also presented. Related simulations are carried out to validate the efficiency of the proposed integration.
This paper presents an analyzing and modeling scheme that can dig into the ship sensor data to ge... more This paper presents an analyzing and modeling scheme that can dig into the ship sensor data to generate models for ship motion prediction. As the raw sensor data contains information that is noisy and discontinuous, three data cleaning methods used for noise reduction, data continuing and resampling are developed. According to specific ship applications, various ship motion constraints are designed to filter and establish meaningful data sets which will be used in the modeling step. Correlation analysis within the data sets is performed to figure out how significant the sensor data contributes to the predictive target. An flexible neural network based modeling mechanism is implemented, in which the user can design the model based on the correlation analysis. By training and testing the neural network using the generated data sets, the ship motion predictive model is obtained. Through a case study of fine maneuvering, the scheme is verified efficient in analyzing and modeling sensor data for ship motion prediction.
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Papers by Arne G Styve
Conference Paper by Arne G Styve
contains information that is noisy and discontinuous, three data cleaning methods used for noise reduction, data continuing and resampling are developed. According to specific ship applications, various ship motion constraints are designed to
filter and establish meaningful data sets which will be used in the modeling step. Correlation analysis within the data sets is performed to figure out how significant the sensor data contributes to the predictive target. An flexible neural network
based modeling mechanism is implemented, in which the user can design the model based on the correlation analysis. By training and testing the neural network using the generated data sets, the ship motion predictive model is obtained. Through a
case study of fine maneuvering, the scheme is verified efficient in analyzing and modeling sensor data for ship motion prediction.
contains information that is noisy and discontinuous, three data cleaning methods used for noise reduction, data continuing and resampling are developed. According to specific ship applications, various ship motion constraints are designed to
filter and establish meaningful data sets which will be used in the modeling step. Correlation analysis within the data sets is performed to figure out how significant the sensor data contributes to the predictive target. An flexible neural network
based modeling mechanism is implemented, in which the user can design the model based on the correlation analysis. By training and testing the neural network using the generated data sets, the ship motion predictive model is obtained. Through a
case study of fine maneuvering, the scheme is verified efficient in analyzing and modeling sensor data for ship motion prediction.