Research Papers - Dept of Software Engineering

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Author: search.filters.author.Gamage, AHas files: Yes

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    Using active learning integrated with pedagogical aspects to enhance student’s learning experience in programming and related concepts
    (Springer, Cham, 2019-09-25) Imbulpitiya, A; Kodagoda, N; Gamage, A; Suriyawansa, K
    Teaching programming concepts and skills to beginners is a challenging and daunting task. As undergraduates, students struggle with understanding the fundamental concepts of programming and learning the syntaxes to build up a solution to an existing problem. The main challenges in delivering an introductory programming module are to get the students actively engaged within and outside the classroom and to increase the level of interest towards programming. Many researchers have tried out using different active learning tools and techniques to engage students in the learning process interactively. Even though lot of different techniques and tools have been introduced with time there is still a reluctancy among the learners and academics to move from the traditional teacher centric learning environment to a more interactive student centric environment. This research is focusing on how active learning integrated with pedagogical aspects can be used in an introductory programming module and the effectiveness of it when compared with a traditional approach.
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    Integrating industrial technologies, tools and practices to the IT curriculum: an innovative course with .NET and java platforms
    (acm.org, 2005-10-20) Athauda, R; Kodagoda, N; Wickramaratne, J; Sumathipala, P; Rupasinghe, L; Edirisighe, A; Gamage, A; De Silva, D
    Exposure to state-of-art industry technologies, tools and practices by students provide CS/IT graduates highly desirable skills and marketability. A key expectation of the industry from their new cadre is a speedy integration into the business environment resulting in productive work. This usually requires having a sound technological background, a maturity to assess the environment and adapt quickly, and highly-developed soft skills to be productive in a team environment. Incorporating such experience and skills into a CS/IT curriculum is challenging and is still in its infancy stages. We undertook such as an endeavor in integrating .NET into the IT curriculum. Microsoft's .NET platform is becoming increasingly popular in the industry. Incorporating .NET into the undergraduate IT curriculum provides a plethora of skills and increases the employability of our graduates. We integrated .NET without a major revision to the existing curriculum by introducing an optional course in the final year (senior-level) of the IT undergraduate program. In addition to the .NET platform, the course covered the Java platform, which is similar in architecture to .NET. The course emulated an industry-based environment with real-world based assignments, focused on deliverables, used state-of-art IDEs and documentation, and pair programming to create a highly productive environment. The “soft skills” were integrated into the course with a project that implemented a virtual marketplace. Students in groups played different entities in the virtual marketplace and communicated with each other via Web Services. The project provided a virtual business environment and exposure to teamwork, collaboration, competition, negotiating, and creativity skills. Our first offering of the course in semester 1, 2005, attracted 128 students. The course created a highly productive environment throughout the semester. Students completed 7 assignments and the project within the 14-week semester. The initial results are encouraging and provide many insights to CS/IT departments planning to incorporate such courses.
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    PublicationOpen Access
    Agro-Genius: Crop Prediction Using Machine Learning
    (2019-10) Gamage, A; Kasthurirathna, D
    This paper present a way to aid farmers focusing on profitable vegetable cultivation in Sri Lanka. As agriculture creates an economic future for developing countries, the demand of modern technologies in this sector is higher. Key technologies used for this problem are Deep Learning, Machine Learning and Visualization. As the product, an android mobile application is developed. In this application the users should input their location to start the prediction process. Data preprocessing is started when the location is received to the system. The collected dataset divided into 3 parts. 80 percent for training, 10 percent for testing and 10 percent for validation. After that the model is created using LSTM RNN for vegetable prediction and ARIMA for price prediction. Finally, for given location profitable crop and predicted future price of vegetables are shown in the application. Other than the prediction, optimizing for multiple crop sowing according to the user requirements and visualizing cultivation and production data on map and graphs are also given in the application. This paper elaborates the procedure of model development, model training and model testing.