Diversity in Software Design and Construction Teaching: A Systematic Literature Review

Castro, Vitor de Souza; Oliveira, Sandro Ronaldo Bezerra

doi:10.3390/educsci13030303

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…The validation results were used to measure the performance of the two research models, and a comparison was carried out to find the model that had the best performance using accuracy confusion matrix analysis (Castro & Oliveira, 2023).…”

Section: Validation With Cross Validationmentioning

confidence: 99%

Comparison Of Naïve Bayes And Decision Trees In Determining The Best Manager Of Nurul Jadid Islamic Boarding School Based On Forward Selection

Dardiri

2024

SinkrOn

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In an effort to find a solution for determining the best administrators, Islamic boarding school administrators try to determine the nominations for the best administrators using existing service data and knowledge. The process of determining nominations for the best administrators is less accurate, requiring computational methods to classify which administrators fall into the best category. In the context of data mining, classification is an important aspect. One of the classification models used is Naïve Bayes which focuses on class probability, and Decision Tree C4.5 which produces a decision tree to determine the priority of indicators that are most influential in predicting the best management. Both of these algorithms have their respective advantages. This research aims to analyze and compare the performance of the Naïve Bayes and Decision Tree classification algorithms. The comparative results of testing the Naïve Bayes and C4.5 algorithms in determining the nominations for the best administrators at the Nurul Jadid Paiton Probolinggo Islamic Boarding School on 455 administrator data tested in this study show that there is a fairly large comparison of accuracy. Naïve Bayes with Forward Selection has an accuracy rate of 91.21%, higher than Naïve Bayes itself whose accuracy results are only 87.64%. there is a difference of 3.57%. Likewise, the accuracy of C4.5 with Forward Selection has an accuracy rate of 90.99%, higher than C4.5 alone which has an accuracy rate of 90.11%. there is a difference of 0.88%. So in the comparison between 4 algorithm model trials, Naïve Bayes and Forward Selection had the most dominant accuracy with an accuracy result of 91.21%.

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Section: Validation With Cross Validationmentioning

confidence: 99%

Comparison Of Naïve Bayes And Decision Trees In Determining The Best Manager Of Nurul Jadid Islamic Boarding School Based On Forward Selection

Dardiri

2024

SinkrOn

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“…The findings showed that co-teaching can contribute to spatial inclusion in mathematics education, implying that all students can be taught in the same class. (Gardesten, 2023).…”

Section: Co-teachingmentioning

confidence: 99%

Experience of Students From Different Training Programs in Co- Teaching That Integrate Physical Activity Into Learning in Elementary School

Salfati

2023

Educational Alternatives

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This action research was conducted in the qualitative paradigm. The study examines pre-service teachers' experiences from co-teaching "movement-based learning" (MBL) programs in elementary schools. Ten students from the "Physical Education Training Program" (PETP) and thirty from the "Elementary School Teaching Training Program" (ESTP) participated in the research. The research rationale is based on the concept that Movement is a natural way for children to explore and learn. Using the natural connection between movement and learning by incorporating physical activity into lessons makes learning more fascinating and effective. The research tools included: Twenty observations of lecturers in the lessons taught by the pre-service teacher, a reflective diary that students wrote after each lesson, and semi-structured interviews with ten students. The research questions were: What are the experiences of a pre-service teacher from co-teaching "movement-based learning" in elementary school? How can integrating movement into learning improve pupils' understanding of academic materials? Analysis of the research findings raised three themes: students' satisfaction with the coteaching experience and the contribution to the pupils; a sense of success and self-realization from the benefits for children with learning disabilities and a sense of empowerment with the mentors' positive evaluation during the co-teaching MBL." It was found that the students' experience of co-teaching the MBL was mainly an experience of satisfaction, empowerment, and professional development. The research conclusions indicate that co-teaching promotes quality integrative teaching. Also, there is beyond the importance of the health aspect of physical activity; it contributes to active and effective learning for pupils in general and pupils with learning disabilities in particular. This study hopes to contribute insights to students and teachers to improve the quality of elementary education and promote movement-based teaching methodologies.

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An Experience Report on the Application of Fishbowl Active Method in Systems Analysis and Design Teaching

Castro,

Oliveira

2024

Proceedings of the XXIII Brazilian Symposium on Software Quality

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Diversity in Software Design and Construction Teaching: A Systematic Literature Review

Cited by 5 publications

References 13 publications

Comparison Of Naïve Bayes And Decision Trees In Determining The Best Manager Of Nurul Jadid Islamic Boarding School Based On Forward Selection

Comparison Of Naïve Bayes And Decision Trees In Determining The Best Manager Of Nurul Jadid Islamic Boarding School Based On Forward Selection

Experience of Students From Different Training Programs in Co- Teaching That Integrate Physical Activity Into Learning in Elementary School

An Experience Report on the Application of Fishbowl Active Method in Systems Analysis and Design Teaching

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