Taban, Joseph Gacusan

Abstract:This study explored the learning progression in Algebra of students from a cohort perspective and individual perspective. Utilizing the cross-sectional and longitudinal research methods and employing the Rasch measurement modeling, the progress in the Algebraic performance of the 592 students (Grade 8, Grade 9 and Grade 10) in a school division in the Philippines was examined four times in around one academic year. Analyses revealed that the students only have a low level of performance in Algebra. Through the Rasch analysis, there was a progress in students' Algebraic performance from a cross-sectional perspective. Their ability estimates increased with the grade level. The performance of the students also developed from the individuals' perspective. More students displayed progress while some retrogressed in their performance in the algebraic test. Moreover, from an individual perspective, the algebraic students' performance developed over the period in all grade levels. There is also an increase in the mastery of the students in the different tasks in the test. The answers of the students are dependent on their ability, as predicted from the Rasch model.

Keywords:Algebra, Cross-Sectional, Learning Progression, Rasch Analysis

Abstract:Learning resources are crucial to boosting students' academic performance. This study aimed to develop and validate a worktext for Mathematics in the Modern World (MMW). Specifically, it sought to determine the availability and adequacy of instructional materials in the said mathematics course; describe the components of the worktext; evaluate the worktext in terms of objectives, content, format, organization, language, and usability; and determine the readability of the worktext. Findings showed a need to develop a worktext in MMW to address the inadequacy of teaching and learning resources in MMW in the university. The worktext in MMW is simple yet rich in content and contains varied activities. It is highly valid and can be used as instructional material in the teaching and learning of MMW. The contents of the worktext are written so that it is clear to the target readers can read it.

Keywords:Worktext Development, Learning Material, Validation, Mathematics in the Modern World

Abstract:Crime such as robbery has been identified as one of the socioeconomic problems across the world, which adverse social, economic, and family conditions have caused. Using discriminant analysis, this study proposed a model for classifying and predicting countries with low and high robbery rates. Robbery rates in 2018 of 42 countries across the world have been extracted from United Nations Office on Drugs and Crime as the dependent variable. Meanwhile, the independent variables included the unemployment rate, average household size, and poverty index. The study originally classified 32 countries with low and 10 with high robbery rates. Pretesting was employed, and the results showed that all the assumptions for discriminant analysis were fulfilled. Using standardized beta and Wilk's Lambda, the average household size is the best predictor variable, while the unemployment rate is the least predictor variable. The overall prediction function model is significant. The classification results by discriminant analysis algorithm for groups with low and high robbery rates show that the proposed model correctly predicts 78.6% of the robbery rates of countries based on the three characteristics, such as their unemployment rate, average household size, and poverty index

Keywords:Robbery rates, discriminant analysis, unemployment rate, average household size, poverty index

Abstract:There are significant limitations in the current study on CT+STEM addressing the gaps noted in the existing literature. The study is driven by the lack of research on underrepresented students in college STEM courses, the inclusion of CT in STEM education at the entry level, and the insufficiency of teacher training programs that concentrate on integrating computational thinking into STEM classrooms. It aims to fill the knowledge gap about how CTs' professional experience influences their attitudes and practices. The study acknowledges the necessity of empirical research to explore the balance between the widespread use of critical thinking and the distinct characteristics of scientific representations, a significant obstacle in educational planning. The research utilizes bibliometric analysis to cover the period from 1978 to 2023, showing a steady yearly growth rate of 7.22% in the CT+STEM sector. The collection consists of 241 documents from 127 scholarly sources, highlighting collaboration trends and worldwide relationships in CT+STEM research. The study highlights important publications, authors, affiliations, and highly cited papers while also recognizing potential bias and the quantitative character of the investigation. The study has important implications for education, industry, and problem-solving in the digital era. The article suggests further research to investigate qualitative aspects, methodologies, and teaching strategies to enhance the development and influence of CT+STEM in the evolving field of education and technology.

Keywords:Computational ThinkingScopusSTEM