Educational Video Game for Learning Binary Search Tree
Citation:
Alberto Rojas-Salazar and Mads Haahr, Educational Video Game for Learning Binary Search Tree, Lecture Notes in Computer Science (LNCS), Joint Conference on Serious Games (JCSG), Trinity College Dublin, Ireland, 26-27 October 2023, Mads Haahr, Alberto Rojas-Salazar and Stefan Goebel, 14309, Springer Verlag, 2023, 426 - 432Download Item:
Abstract:
This demo paper presents two prototypes of an educational video game for learning Binary Search Tree data structure in higher education environments. The prototypes were used to evaluate the effectiveness of video games to teach abstract non-intuitive conceptual knowledge and the effect of educational video games’ perceptual realism on learning gains and motivation. The paper provides a detailed description of the game, focusing on the game’s learning aspects, such as the learning theory, pedagogical approach, learning objectives, and learning activities. It also emphasizes how the game elements reflect the learning aspects to facilitate learning complex conceptual knowledge.
Author's Homepage:
http://people.tcd.ie/haahrm
Author: Haahr, Mads
Other Titles:
Lecture Notes in Computer Science (LNCS)Joint Conference on Serious Games (JCSG)
Publisher:
Springer VerlagType of material:
Conference PaperCollections
Series/Report no:
14309;Availability:
Full text availableKeywords:
Analogies, Educational Video Game, Binary Search TreeDOI:
https://doi.org/10.1007/978-3-031-44751-8_38Metadata
Show full item recordLicences: