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Submitted by Christina Chavez (flach@ufba.br) on 2020-12-07T17:42:07Z No. of bitstreams: 1 preprint_CSE_2015-DeboraCoelho-journal.pdf: 846247 bytes, checksum: ceeb12b24683cb10b1345563f2b7e27e (MD5) Approved for entry into archive by Solange Rocha (soluny@gmail.com) on 2020-12-10T23:18:13Z (GMT) No. of bitstreams: 1 preprint_CSE_2015-DeboraCoelho-journal.pdf: 846247 bytes, checksum: ceeb12b24683cb10b1345563f2b7e27e (MD5) Made available in DSpace on 2020-12-10T23:18:13Z (GMT). No. of bitstreams: 1 preprint_CSE_2015-DeboraCoelho-journal.pdf: 846247 bytes, checksum: ceeb12b24683cb10b1345563f2b7e27e (MD5) Previous issue date: 2015-05-12 Context: It is common practice in academia to have students work with “toy” projects in software engineering (SE) courses. One way to make such courses more realistic and reduce the gap between academic courses and industry needs is getting students involved in open source projects (OSP) with faculty supervision. Objective: This study aims to summarize the literature on how OSP have been used to facilitate students’ learning of SE. Method: A systematic mapping study was undertaken by identifying, filtering and classifying primary studies using a predefined strategy. Results: 72 papers were selected and classified. The main results were: (a) most studies focused on comprehensive SE courses, although some dealt with specific areas; (b) the most prevalent approach was the traditional project method; (c) studies’ general goals were: learning SE concepts and principles by using OSP, learning open source software or both; (d) most studies tried out ideas in regular courses within the curriculum; (e) in general, students had to work with predefined projects; (f) there was a balance between approaches where instructors had either inside control or no control on the activities performed by students; (g) when learning was assessed, software artefacts, reports and presentations were the main instruments used by teachers, while surveys were widely used for students’ self-assessment; (h) most studies were published in the last seven years. Conclusions: The resulting map gives an overview of the existing initiatives in this context and shows gaps where further research can be pursued. London

Modern robots, like today’s smartphones, are complex devices with intricate software systems. Introductory robot programming courses must evolve to reflect this reality, by teaching students to make use of the sophisticated tools their robots provide rather than reimplementing basic algorithms. This paper focuses on teaching with Tekkotsu, an open source robot application development framework designed specifically for education. But, the curriculum described here can also be taught using ROS, the Robot Operating System that is now widely used for robotics research.

To design an effective computer science curriculum, educators require a systematic method of classifying the difficulty level of learning activities and assessment tasks. This is important for curriculum design and implementation and for communication between educators. Different educators must be able to use the method consistently, so that classified activities and assessments are comparable across the subjects of a degree, and, ideally, comparable across institutions. One widespread approach to supporting this is to write learning objects in terms of Bloom's Taxonomy. This, or other such classifications, is likely to be more effective if educators can use them consistently, in the way experts would use them. To this end, we present the design and evaluation of our online interactive web-based tutorial system, which can be configured and used to offer training in different classification schemes. We report on results from three evaluations. First, 17 computer science educators complete a tutorial on using Bloom's Taxonomy to classify programming examination questions. Second, 20 computer science educators complete a Neo-Piagetian tutorial. Third evaluation was a comparison of inter-rater reliability scores of computer science educators classifying programming questions using Bloom's Taxonomy, before and after taking our tutorial. Based on the results from these evaluations, we discuss the effectiveness of our tutorial system design for teaching computer science educators how to systematically and consistently classify programming examination questions. We also discuss the suitability of Bloom's Taxonomy and Neo-Piagetian theory for achieving this goal. The Bloom's and Neo-Piagetian tutorials are made available as a community resource. The contributions of this paper are the following: the tutorial system for learning classification schemes for the purpose of coding the difficulty of computing learning materials; its evaluation; new insights into the consistency that computing educators can achieve using Bloom; and first insights into the use of Neo-Piagetian theory by a group of classifiers. © 2013 Copyright Taylor and Francis Group, LLC.

One of the main problems faced within departments of computer science is how to encourage students to use their algorithmic and programming skills in the real-life context. This paper deals with control technologies for higher education. We define controlware as a toolkit for creating the control part of a mobile robot in interactive learning environments and educational micro-worlds. Intelligent behavior of mobile robots is created through the composition of constituent control units. The overall behavior of a mobile robot is half cooperative and half-competitive realization of the goals of the control units. To construct this composition behavior and resolve the corresponding conflicts, a partially ordering priority arbitration subsystem is defined. It is shown that the suggested approach links educational processes both in a control curriculum and an intelligent robotics curriculum. We hope that the spreadsheet-based controlware will make the mobile robots lear ning environment an accepted educational ...