Browsing by Author "Alpaslan,F.N."
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Book Part Citation Count: 3Adaptive intelligent learning system for online learning environments(World Scientific Publishing Co., 2013) Serçe, Fatma Cemile; Alpaslan,F.N.; Jain,L.C.; Information Systems EngineeringThe present chapter deals with an Adaptive Intelligent Learning System (AILS) which is designed to be used withany Learning Management System (LMS). The adaptiveness provides unique method of identifying and monitoring the learner’s learning processes according to their respectivelearning ability. AILS is a multi-agent system. This was developed in the form of JADE agents. The chapter presents the learning model, the system components, agent behavior in learner scenarios, the ontologies used in agent communications, and adaptive strategies. A sample application of AILS toa dummy LMS is also presented. © 2013 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.Conference Object Citation Count: 11Global teams: Futuristic models of collaborative work for today's software development industry(2009) Serçe, Fatma Cemile; Swigger,K.; Brazile,R.; Alpaslan,F.N.; Cabrera,V.L.; Serce,F.C.; Information Systems EngineeringThis paper emphasises the importance of global teams in the field of software development. The paper presents an approach for setting up pilot studies simulating those key features that make global software development teams particularly attractive to exploit and challenging to manage. The underlying research is supported by a research project funded by the US National Science Foundation with the participation of universities from US, Turkey, Panama and the UK. The paper provides detailed guidelines for setting up simulations resembling globally dispersed software development teams and discusses preliminary data of two pilot studies with involving collaboration between teams residing in the US and the UK. Key concerns of this research are those factors affecting collaborative work when global teams are involved. Such factors include differences caused by distance, culture, time zones and technology. © 2009 IEEE.Conference Object Citation Count: 2Supporting collaboration in global software development through e-learning(2009) Dafoulas,G.A.; Swigger,K.; Brazile,R.; Alpaslan,F.N.; Serce,F.C.; Cabrera,V.L.The paper provides an overview of a research study conducted over a period of one year as part of a three year project on supporting global software development learning teams. Emphasis is given on the role of e-learning in supporting the coordination, communication and collaboration in geographically dispersed learning teams. The paper describes how e-learning was used to facilitate teams from five different universities residing in US, UK, Turkey and Panama to work towards a number of global software development pilot studies. The paper focuses on instructional design issues by discussing the e-learning setting provided. Furthermore, the paper discusses key considerations relating to the project's strategy towards collaborative learning and the design of e-learning tasks. © 2009 IADIS.Conference Object Citation Count: 0When do distributed student teams work?(2012) Serçe, Fatma Cemile; Dafoulas,G.; Serce,F.C.; Alpaslan,F.N.; Lopez,V.; Information Systems EngineeringThe authors analyzed 2500 communication activities of student teams engaged in global software development projects during an 18 month period to determine the temporal behavior of students engaged in distributed group activities. The data revealed a number of daily, weekly, and project regularities, which provide insights into how distributed teams use their time. The results from this study show that students often work outside of the normal workday. Students' work habits are sometimes determined by where they live and what tasks they are performing. Moreover, students tend to work on group projects in cycles, which follow a start-middle-end pattern. Knowledge obtained from this study should provide insight into current empirical research on computer-supported collaborative learning by defining the different time variables that can be used to compare temporal patterns of online teams. © 2012 IEEE.