Tech-Enhanced Mathematics Education: Digital Literacy in Teacher Education Institutions (TEIs) |Chapter 4 |Language, Literature and Education: Research Updates Vol. 6

In today's digital age, technology plays a vital role in enhancing mathematics education, equipping educators with tools to improve teaching effectiveness and student engagement. This study examined the digital literacy of mathematics educators in Teacher Education Institutions (TEIs) and its alignment with Sustainable Development Goal 4 (SDG 4) on quality education, which emphasizes equitable access to technology-driven learning. Using descriptive research design, survey questionnaire, and universal sampling, the findings revealed that limited digital infrastructure hindered teachers’ ability to fully integrate educational software, social media, and mathematics applications into instruction. Despite these challenges, educators demonstrated a strong awareness of digital literacy, with institutional factors, such as learning management systems, information systems, and computer laboratories, significantly influencing the adoption and utilization of digital tools. To bridge digital gaps and foster innovation in mathematics instruction, the study highlighted the need for expanded technological resources, structured digital literacy training, and strengthened policy support, ultimately improving teaching practices, student engagement, and overall education quality.

 

Author (s) Details

Martin L. Nobis, Jr.
University of Eastern Philippines Laoang Campus, Laoang, Northern Samar, Philippines.

 

Please see the book here: https://doi.org/10.9734/bpi/lleru/v6/5619b

Case Studies: The Impact of Artificial Intelligence on STEM Education | Chapter 10 | An Overview of Literature, Language and Education Research Vol. 10

Artificial intelligence can improve the quality of teaching and learning in education. It can have a more positive impact by serving as a new special purpose “method of intervention” that can change our curriculum in education. Artificial intelligence refers to technology that reacts to its environment and responds to tasks in a way that optimizes the levels of success. In this chapter, we certain tasks which were carried out by educational robotics and learning management systems that could maximize the success of teaching and learning, specifically in Mathematics and computer science education, were discussed. The two types of technology discussed in this chapter are robotics and a learning management system. We These two types of technology were considered in a general setting and examples of actual usage in classroom situations were provided. The authors present for each type, an example of intervention of artificial intelligence. In the case of robotics, research was carried out with preservice computer science teachers (n =75). These teachers were asked about their experiences when utilizing robotics when learning computer programming. Kolb’s Experiential Learning Cycle guided that study. In the section that follows, we potentials of robotics in STEM Education were surveyed. In the case of using the learning management systems, a mixed-mode research study was carried out with science students in one study and then with engineering students (n =162) learning mathematics. It was found that there is ample potential for the use of artificial intelligence in education to enhance teaching to support more effective individualized learning. We in this chapter, the benefits of using educational robotics and learning management systems for teaching and learning in education with pre-service teachers and engineering students were shown.

 

Author (s) Details

 

Deonarain Brijlall
Department of Mathematics, Durban University of Technology, South Africa.

 

F Abakah
Department of Mathematics, Durban University of Technology, South Africa.

 

A Saxena
Dev Sanskriti Vishvavidyalaya University, Uttarakhand, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/aoller/v10/4389