Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…

This study investigated the role of ChatGPT-assisted data analysis in mathematics education research within the post-modern scholarly milieu using a scoping review approach. This examined how ChatGPT contributes to ethical, reliable, rigorous, and context-sensitive data analysis in mathematics education research. The findings reveal five (5)…

While reviewing the Trends in International Mathematics and Science Study (TIMSS) data, Singapore is a leader in math and science (Mullis et al., 2016). Let's learn from the best. Education is an aspiration not a destination (Ng, 2020) which demands an internal motivation of lifelong learning and change in education with a goal to improve…

This study aims to analyze the levels of integration and the scientific, mathematical, and technological skills present in the science, technology, engineering, and mathematics (STEM) activities included in secondary education textbooks in Chile. The research addresses theoretical elements such as the conceptualization of STEM education, its…

A promising approach to support students' math learning effectively, automatically and at scale within existing learning environments is conversational artificial intelligence (ConvAI). Although previous studies have suggested ConvAI's potential to guide, facilitate and enhance learning, its effects on students' conceptual change and academic…

Mathematics teacher leaders may play an integral role in supporting change to address inequities in STEM education. To harness this potential, there is a need to identify effective professional development models that empower and motivate mathematics teacher leaders. We examine one such model focused on developing 30 K-12 mathematics teacher…

Background/purpose: This study aims to improve students' self-awareness of various study programs. Self-awareness establishes a vital supporting aspect in students' academic accomplishment, as it allows them to identify their potential and make confident decisions related to mastering course content. This research employed the combination of…

As online learning platforms become more popular and deeply integrated into education, understanding their effectiveness and what drives that effectiveness becomes increasingly important. While there is extensive prior research illustrating the benefits of intelligent tutoring systems (ITS) for student learning, there is comparatively less focus…

Educational inequality and mathematics achievement have been long-term concerns in England. However, most studies of inequalities focus on achievement across multiple-subjects, and studies of mathematics achievement gaps tend to look at a single test in a single year. This study provides an overview of mathematics achievement gaps in the last 13…

The National Learning Camp (NLC) serves as the national recovery program of the Philippine Department of Education (DepEd) using a camp-like learning experience. Hence, learning materials were distributed to the students, and teacher-student interaction was limited to forty-five minutes, insufficient to cover all required lessons. So, teacher-made…

Studies have explored the correlation between students' math interest and their academic performance in grades 4 to 6, emphasizing the role of self-control and resilience as mediators in this relationship. Drawing on interest development and self-regulation theories, we hypothesized that interest directly predicts achievement and indirectly…

Background: As highly interactive hands-on learning tools, robots can inspire new generations of mathematics students. However, to date, no comprehensive systematic reviews have been conducted on robot-assisted mathematics education from K-12 through higher education. Hence, it is important to explore the research evidence of robot-assisted…

In response to soaring developmental education enrollments in Texas, the Pioneer Prep Program at Texas Woman's University (TWU) was designed as an alternative pathways-to-placement program for students who neither passed the Texas Success Initiative Assessment (TSIA) nor met other college-readiness benchmarks needed to enroll in college-level…

We introduce the free web-app PyGgb -- the combination of the well-known programming language Python and the dynamic mathematics system GeoGebra. Motivated by the desire to provide an introduction to Python coding in the familiar context of mathematics and geometry, PyGgb allows GeoGebra constructions to be created using Python code. We outline…

Quantitative reasoning is a critical skill in biology and has been highlighted as a core competency by "Vision and Change." Despite its importance, students often struggle to apply mathematical skills in new contexts in biology, a process called transfer of knowledge. However, the supports and barriers that students perceive for this…