Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking…

Although Machine Learning (ML) is found practically everywhere, few understand the technology behind it. This presents new challenges to extend computing education by including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an…

In the era of Industry 5.0, education is evolving with automation and immersive technologies like Augmented Reality (AR). This study explores the need for an AR-based e-module in Senior High School biology by assessing students' understanding, interest, confidence, and perceived usefulness of AR in learning. Using a descriptive quantitative…

The goal of the study is to create Visual Basic and MATHCAD apps to create programs that show the core force using physical forces as an example. The research subjects are high school teachers and students; the inherent context is high school STEM courses. Programs for computer visualization have been developed, and theoretical investigations have…

Vietnam today is having solid innovations in the fields of science, technology, economics, and education. In particular, the Mathematical General Education program launched in 2018 has emphasized the exploitation of information technology in teaching. GeoGebra software is taught right from the 6th grade. GeoGebra software has many advantages in…

Electric potential is one of the most challenging concepts taught in high school physics classes due to the abstract nature of the concept. When taught, electric potential is often taught using a poorly triangulated set of instructional analogies, each possessing different strengths and limitations. Within this paper we share our learning from a…

As soon as children can see, they observe that objects fall freely. From a young age, we spontaneously construct interpretative models to understand this everyday phenomenon. Over the last three decades, numerous experiments have been developed to help students understand physics concepts regarding free fall. Although there are many…

This work combines laboratory quantitative analysis of colored solutions and common devices for digital imaging (digital or web cameras or mobile phones, i.e., smartphones). ColorX software, specially designed for this study, was used for data collection and analysis in order to calculate concentrations of colored solutions from measured RGB…

This paper proposes an experiment in which students build microdevices for conveniently electrolyzing water and use image recognition and processing technology to measure the volume of gas generated during the reaction in a noncontact way. Taking advantage of three ratio relationships between (i) gas volume and the area of bubbles, (ii) the…

This research investigated how collaborative e-learning strategies affected the understanding of DNA Replication among the 9th-grade Biology CC class. The study involved 24 diverse students (ages 15-17), including regular education students, English Language Learners (ELLs), and students with IEPs selected through proportional stratified random…

Research has been conducted to develop a physics learning media in the form of an Android-based pocket book. We designed a Harmonic Oscillation Pocket Book and tested its feasibility and effectiveness in improving the cognitive learning outcomes of students. This study used the research and development method adapted from the ADDIE model. The…

Numerical simulations are playing an increasingly important role in modern science. In this work it is suggested to use a numerical study of the famous perihelion motion of the planet Mercury (one of the prime observables supporting Einsteins general relativity) as a test case to teach numerical simulations to high school students. The paper…

Skills in science, technology, engineering, and mathematics (STEM) are increasingly in demand. Theoretical knowledge and formulas alone are frequently not sufficient to understand complex phenomena. Simulations are a valuable tool to support the conceptual understanding by visualizing invisible processes. The constant interaction with the learning…

Utilizing facial recognition technology, the current study has attempted to predict the likelihood of student conceptual change with decision tree models based on the facial micro-expression states (FMES) students exhibited when they experience conceptual conflict. While conceptual change through conceptual conflicts in science education is a…

Molecular processes are highly complex, and are frequently difficult for high school and college students to comprehend. Because of the importance of visualization in learning, along with formative assessment of student understanding, utilization of 3D modeling software aids both educators and students alike. The activity described below required…