Statistics in the Mathematics Curricula in Bulgaria

Living in the 21st century brings new challenges for the educational system, especially that which concerns education in mathematics, statistics, and technologies. In this chapter, recent problems of teaching statistics in schools in Bulgaria are discussed. The present state of the mathematics curriculum is presented, namely in the section “Probabilities and statistics”; some existing problems are discussed, and recommendations are made for further improvement of the teaching material. The objective of the study is to provide ground for increasing the statistical literacy of the younger generation through a more comprehensive and more up-to-date education in school.

Proposal Intervention Based on the Classroom Project

The objective of the chapter is the elaboration of an intervention proposal based on the STEAM Integrator Project that from mathematics addresses the issues related to the 2030 Agenda proposed by the United Nations. The central element of the proposal is to consider the context and interest of the student for the selection of a topic related to science to explain it, argue it, and describe it in order to model it from different disciplines of the physical-mathematical area in the Upper Middle Level of the Instituto Politécnico Nacional.

The Methodology of Project-Oriented Learning at the Postgraduate Level for the Training of Student Competencies

The objective of the chapter is the elaboration of a methodological proposal for project-oriented learning at the postgraduate level in order to develop students' mathematical competencies. The methodology of project-oriented learning has as its central element the elaboration of a project based on a problem to propose a solution through a research process. Thus, it recognizes the importance of integrating both participation and collaborative work in the training practices of graduate students to achieve quality training in their learning, which allows a transfer of skills in their work performance. In the same way, the integration of the digital competence, communication, interpersonal, and critical thinking is incorporated.

Machine Learning Algorithms for Solving Linear Systems of Equations

Moving into the fourth industrial revolution and the rapid digital transformation, there is a huge volume of data to be managed in each industry. Industrial simulations commonly produce data including the inputs and outputs of linear systems with several million unknowns. Solving linear systems is one of the fundamental problems in scientific computing, and it requires significant system resources. Determining a suitable method to solve linear systems can be a challenging task, since there is not a certain knowledge about which method is the most suitable for different numerical problems. In this study, the authors demonstrate how machine learning (ML) approach can be used in selecting solvers for linear systems. The chapter includes frequently used ML methods from literature and explain the usage of them to select optimal solvers and preconditioners.

Effective Training of the Teachers in Teaching of Mathematics

This chapter aims to provide an in-service teaching model, which is named as a “reflective teachers-as-designers professional development model” based on the literature, designed to give teachers an understanding of teaching that focuses on developing real-life contexts and developing global competencies. First, the conceptual framework for the learning of teachers and their capacity as designers are discussed. Then, content components and process components of the model are presented by providing the rationale behind each element.

Professional Development of Mathematics Teachers in the Age of I4.0

The 21st century has witnessed the development of the fourth industrial revolution that means cutting-edge technologies including artificial intelligence and the internet of things. The special quality of this epochal revolution lies in a rapid acceleration of the speed of change, never seen before. This is happening at the most challenging time ever faced by our species, due to existential threats. This scenario begs big questions to professionals in the field of mathematics education. Can mathematics education contribute to build a better world? The chapter reports on a participatory research conducted by a researcher in mathematics education together with 11 mathematics teachers. Therefore, the research benefits from a double point of view, coming from different cultures so gaining a double verisimilitude, which makes the results acceptable for all the professionals involved.

The Incorporation of Big Data in Mathematical Training for the Fourth Industrial Revolution

The context of Industry 4.0 is changing the training of mathematical students, new and old generations, in such a way that educational institutions implement strategies and actions to adapt study plans according to the requirements of the new industrial revolution. On the other hand, big data is a cybernetic system that functions as a tool that incorporates mathematical training and implementation and that has recently been included in the educational sphere in order to collaborate with the development of specific competencies based on information technologies and communication, with the purpose of interacting in the intelligent environments proposed by Industry 4.0.

Teaching and Learning of Mathematics in Lower Primary in Schools in Ghana

Mathematics is a fundamental human activity – a way of making sense of the world. Children possess a natural curiosity and interest in mathematics and come to school with an understanding of mathematical concepts and problem-solving strategies that they have discovered through explorations of the world around them. The purpose of this study is to find out how mathematics is being taught and learnt among primary one pupils in basic schools in Ghana. A qualitative approach was employed to provide answers to the research questions raised. It was found that teachers employed variety of procedures for teaching mathematics. However, there were some problems encountered in the teaching and learning of mathematics.

Student Attitude in Mathematics and Science-Related Courses for Digitally Based Society

One of the principal objectives of teaching and learning mathematics, science, and technology (MST) is to produce a digitally-based society, and students are pillars to achieve this fundamental objective in this information age. The study investigated students' attitude in MST education for digitally-based society in the South-West region, Nigeria. A sample of 1,080 from the population of 2,700 was used from six private and six public tertiary institutions in the six states that made up the region. A questionnaire with a reliability coefficient of 0.813 was used to gather research data for analysis. Findings revealed that the students in the South-West geopolitical region had a poor attitude in mathematics, chemistry, physics, and computer science, and there was a poor academic performance in MST education. There was a significant difference between public and private tertiary institutions students' attitude towards MST-related courses. Recommendations on periodical workshops and training of teachers on the innovativeness in the teaching of science-based subjects were made.