SACIP: An Agent-Based Constructionist Adaptive System for Programming Beginners
| Autor: | Adson Marques da Silva Esteves, Rudimar Luís Scaranto Dazzi, Aluizio Haendchen Filho, André Luís Alice Raabe |
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| Rok vydání: | 2021 |
| Předmět: |
Flexibility (engineering)
Computer science E-learning (theory) 05 social sciences 050301 education 02 engineering and technology Systems modeling Human–computer interaction Adaptive system Constructivism (philosophy of education) ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering Constructionism 020201 artificial intelligence & image processing 0503 education Architectural model Dropout (neural networks) |
| Zdroj: | Enterprise Information Systems ISBN: 9783030754174 ICEIS (Revised Selected Papers) |
| Popis: | Brazilian universities have a high dropout rate in Computing courses. We believe E-learning personalized solutions can help to reduce this problem. This paper presents an architectural model for an adaptive system called SACIP that uses learning paths to deliver personalized assistance for students learning to program. Constructivist and constructionist theories were used as guidelines for the system modeling, and a collaborative multiagent system was developed to assist students in their choice of paths. Details of the SACIP implementation on different platforms are described, as well as its benefits and advantages over similar adaptive systems that use learning paths in a distinct manner. The application of SACIP with beginners in programming is aimed to facilitate learning, allow curricular flexibility and help to reduce dropout rates in Computing courses. |
| Databáze: | OpenAIRE |
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