Percorrer por autor "Teixeira, Cristiane"
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- Computer Learning SystemsPublication . Teixeira, Cristiane; Teixeira, Marcelo; Farias-Júnior, Ivaldir; Lima, SidneyComputational learning systems are configured as digital platforms, specialized tools, or systematized methodologies aimed at facilitating, organizing, and optimizing educational processes in virtual environments. Learning Content Management Systems (LCMS) focus on the creation, structuring, storage, and reuse of learning objects, enabling educators to develop personalized, modular, and scalable instructional materials. In turn, Learning Management Systems (LMS) are designed to operationalize the administration of the teaching and learning process, encompassing functionalities such as enrollment management, content delivery, student performance tracking, and assessment implementation. In this context, the present study qualitative in nature and based on an empirical- descriptive approach proposes a comparative analysis between LCMS and LMS, considering technical and pedagogical features, operational limitations, and contributions to the consolidation of innovative practices in higher education, specifically within the undergraduate programs in Computing Education and Software Engineering at the University of Pernambuco – Garanhuns Campus.
- Neurodivergents in Computational Systems: A Best Practices GuidePublication . Teixeira, Cristiane; Teixeira, Marcelo; Farias Júnior, Ivaldir; Lima, SidneyNeurodivergent students, especially those with Autism Spectrum Disorder (ASD), face specific challenges in the educational context, such as difficulties with concentration and the need for continuous emotional support. In light of this scenario, the present study aims to propose processes that promote inclusion and provide support for undergraduate students with ASD in Higher Education Institutions (HEIs), particularly within virtual learning environments. This is a basic research study with a qualitative approach and an exploratory-descriptive design, combining a literature review with comparative case studies as the main scientific investigation methods. The findings made it possible to identify educational practices that foster the personalization of the learning experience, taking into account the individual needs of these students in higher education. The study was conducted between october 2024 and march 2025.