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Supporting the identification and retrieval of open educational resources for the programming education

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Author(s):
William Simão de Deus
Total Authors: 1
Document type: Doctoral Thesis
Press: São Carlos.
Institution: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB)
Defense date:
Examining board members:
Ellen Francine Barbosa; Rosana Teresinha Vaccare Braga; Rodrigo Silva Duran; Andreia Inamorato dos Santos
Advisor: Ellen Francine Barbosa
Abstract

The growth of platforms for Open Educational Resources (OER) is helping to democratize teaching and access to education. Factors such as cost reduction and resource availability are contributing to the development and dissemination of large digital collections. Many of these collections contain resources that can support the teaching of introductory programming, including exercises, presentations, supplementary materials, and even software that can be used, customized, and shared at no cost. However, identifying and retrieving these materials remains challenging due to various issues such as the size of the collections, lack of user support, lack of standardization of terms, and limitations of search engines on open platforms. Following this scenario, this thesis investigated the following Research Question (RQ): How is it possible to assist in the identification and retrieval of OER for teaching and learning of introductory programming? To address this RQ, Design Science Research (DSR) was adopted as the methodological approach. Initially, current approaches were investigated by an Systematic Mapping (SM) and an Exploratory Study. Next, a focus group with professors of introductory programming was conducted to identify the main challenges in searching for OER. As a result, two mechanisms were proposed to reduce the identified problems: the first is a vocabulary of terms designed to facilitate the identification of resources with introductory programming content. The second mechanism uses tags and weights to simplify the OER retrieval process. To evaluate the efficiency of both mechanisms, a multiple Case Study was conducted involving three distinct scenarios. The results demonstrated that the proposed mechanisms effectively reduced the problems, supporting the identification and retrieval of OER using the content and structure of resources rather than relying on metadata, which is the most common practice of current approaches. Furthermore, it became evident that identification and retrieval challenges occur before, during, and after a user accesses an open initiative. To mitigate these challenges, it is necessary to establish a connection between three fundamental actors: the platforms for OER, those responsible for their infrastructure, and the users who search for OER. (AU)

FAPESP's process: 19/26871-4 - Supporting the Retrieval of Open Educational Resources for the Programming Education
Grantee:William Simão de Deus
Support Opportunities: Scholarships in Brazil - Doctorate