1 Universidad Tecnica de Manabi UTM (ECUADOR)
2 Escuela Politecnica Nacional (ECUADOR)
3 Universidad Politecnica de Catalunya (SPAIN)
About this paper:
Appears in: ICERI2017 Proceedings
Publication year: 2017
Pages: 6849-6860
ISBN: 978-84-697-6957-7
ISSN: 2340-1095
doi: 10.21125/iceri.2017.1797
Conference name: 10th annual International Conference of Education, Research and Innovation
Dates: 16-18 November, 2017
Location: Seville, Spain
The accelerated growth of the Internet and Software industry has given rise to emerging businesses. Google, Wikipedia, and Facebook are the best examples of businesses where collective intelligence is in action. The production and management of ideas has become the core of creativity and problem solving. However, educational environments have been quite slow in integrating emerging paradigms and have many limitations in their contribution to the development of key skills related to collective intelligence (CI).

This paper describes a methodological framework that is informed by teamwork methodology, focusing on the elements of collective intelligence and Problem-Based Learning (PBL). In addition, as a complementary support, a computational internet tool has been employed to establish a participative software engineering course.

The study took an exploratory research approach. A process of incrementally refining ideas allowed students and experts to improve the collaborative learning outcomes of students at every stage. The experimental results identified a set of indicators that can be used to evaluate the collaborative performance of students. Moreover, the tool that was employed facilitated open management of ideas in real time collective assessment of completed work, and it also increased the students’ motivation and engagement in the learning process.

The authors conclude that the proposed approach is a useful tool to facilitate the investigation of students’ learning processes in collaborative learning environments through the use of internet tools and the collective intelligence elements in software engineering courses
Software engineering, Collaboration, Collective intelligence, Learning, ICT tools.