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Conference Object Citation - WoS: 4A Comparison of Team Performance Measures for Global Software Development Student Teams(Ieee Computer Soc, 2009) Swigger, Kathleen; Serce, Fatma Cemile; Alpaslan, Ferda Nur; Brazile, Robert; Dafoulas, George; Lopez, VictorOne of the most difficult tasks for global software development researchers is quantifying the performance of groups and students who participate in these distributed projects [30]. There has been much debate about which factors better correlate with team performance and which best describe a successful team. The purpose of this paper is to compare the different approaches that have been used to evaluate the performance of global software learners and show how these techniques can affect research results. Using data from student groups engaged in global software development projects for the past year, the authors apply a number of different assessment methods and show their effects on different performance indicators. Our study suggests that the selection of appropriate measures to evaluate team performance can dramatically affect how one identifies successful teams.Book Part Citation - WoS: 3Adaptive Intelligent Learning System for Online Learning Environments(World Scientific Publ Co Pte Ltd, 2013) Serce, Fatma Cemile; Alpaslan, Ferda Nur; Jain, Lakhmi C.The present chapter deals with an Adaptive Intelligent Learning System (AILS) which is designed to be used with any Learning Management System (LMS). The adaptiveness provides unique method of identifying and monitoring the learner's learning processes according to their respective learning 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 to a dummy LMS is also presented.
