IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Geo@NET in the context of the Platform of Assisted Learning from Aveiro University, Portugal

Geo@NET in the context of the Platform of Assisted Learning from Aveiro University, Portugal
View Sample PDF
Author(s): Elisabete Peixoto (University of Aveiro, Campus Universitário de Santiago, Portugal), Estela Martins (University of Aveiro, Campus Universitário de Santiago, Portugal), António Batel Anjo (University of Aveiro, Campus Universitário de Santiago, Portugal)and Alexandre Silva (University of Aveiro, Campus Universitário de Santiago, Portugal)
Copyright: 2012
Pages: 20
Source title: Handbook of Research on Serious Games as Educational, Business and Research Tools
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal)
DOI: 10.4018/978-1-4666-0149-9.ch033

Purchase

View Geo@NET in the context of the Platform of Assisted Learning from Aveiro University, Portugal on the publisher's website for pricing and purchasing information.

Abstract

Geo@NET is a computer game, played online, whose main purpose is to motivate students to the study of Geosciences. This is the most recent game included in the Platform of Assisted Learning of “Projecto Matemática Ensino” (PmatE), and the first geosciences online game that was developed in Portugal. Geo@NET project involves the conception, planning, and development of several Question Generator Models, for online games and competitions between students of the 3rd cycle of Portuguese Basic Instruction. The main challenge of the game is to find the correct answers (true/false) in a set of affirmations. Only solving the questions of each level of the game allows the player to go to the next level. Since 2009, the number of games played in geo@NET has increased, which encourages for further developments of this project. Thus, this chapter aims to describe QGMs, the development of the game, and the results obtained so far.

Related Content

Johnny L. Williams. © 2026. 26 pages.
Anthony Mark Gray, James E. Bartlett. © 2026. 32 pages.
Christopher H. Slotboom. © 2026. 72 pages.
Ameera Law, Sebastian Gutierrez, Keren Asgodom, Mahrukh Khan. © 2026. 32 pages.
Kashish Ali, Autumn Garcia, Alina Vadsariya. © 2026. 20 pages.
Michelle Bartlett. © 2026. 22 pages.
Tarana Afrin Chandel. © 2026. 32 pages.
Body Bottom