Work

Extracting Learning Analytics from Lightbot GameplaySessions

Year: 2024

Type: conference-paper

Abstract: This paper presents a method for extracting and visualizing learning analytics from Lightbot using computer vision. Lightbot is a serious educational game that foments computational thinking and teaches introductory programming concepts. We collect information from recorded game sessions, such as the number of commands used, the effectiveness of the player’s solution, and the number of times the player submitted their solution for assessment. We then use this data to create graphs that help education professionals understand the challenges and successes students find when using Lightbot as a teaching tool.

DOI: 10.5753/sbgames.2024.240928

Authors: Adriano Gil, Thiago Figueira, José Francisco Magalhães Netto

Institutions: Instituto de Pesquisas Eldorado, Universidade Federal do Amazonas

Language: English

Topic: Teaching and Learning Programming

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação de Amparo à Pesquisa do Estado do Amazonas

Awards: G29316538, G5578022071