The purpose of the current study was to determine the effect of teaching astronomy through augmented reality (AR) on the achievement and interest level of gifted students and their opinions about AR applications. The current study was conducted in line with the explanatory sequential mixed-methods design. The study group of the current research…

Cognitive diagnostic models can uncover students' mastery of multiple fine-grained skill attributes or problem-solving processes. A number of studies have applied cognitive diagnostic models to detect students' knowledge mastery in mathematics and language testing. However, few studies focus on cognitive diagnostic assessment in K-12 science…

Quality Teaching (QT) is a sought-after professional goal for educators and schools alike. It is easy to observe, harder to define, and hardest to understand how to achieve. This study attempted to identify QT amongst a select group (N = 6) of Boston-area award-winning high school chemistry teachers. Participants were selected based on having…

STEM is a well-known acronym describing the intersections of science, technology, engineering, and math. Emerging from this paradigm is a relatively new interdisciplinary model entitled STEAM. STEAM endeavors to intersperse "the arts" into the sciences with the expectation of increasing student engagement and skills within the sciences.…

Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…

Science teachers' beliefs about teaching and learning are a vital component of teachers' professional competence and are often assumed to impact classroom practice. To date, these beliefs have been predominantly investigated regarding teaching and learning in general or for a particular science subject (e.g., physics). It remains to be determined…

Aim/Purpose: This study aims to explore the innovative integration of machine learning techniques into project-based learning rooted in Malay ethnoscience in Jambi, Indonesia. The research introduces a novel framework that utilizes educational data mining to personalize culturally responsive STEM education in under-resourced public schools.…

In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…

The aim of this study was to investigate the comparability of feedback across culturally diverse countries by assessing the measurement invariance in PISA 2015 data. A multi-group confirmatory factor analysis showed that the feedback scale implemented in PISA 2015 was not invariant across countries. The intercepts and residuals of the factor model…

PISA (Programme for International Student Assessment) is one of two large scale international comparative projects of student assessment that now exert considerable influence upon school science education policy, the other being TIMSS (Trends in International Mathematics and Science Study). This paper focuses on PISA, now the most influential…

To test the hypothesis that students who complete remote online tests experience an 'online grade penalty', we compared performance outcomes of second-year students who elected to complete exams online to those who completed face-to-face, paper-based tests in an organic chemistry course. We pursued the following research questions: (RQ1) Are there…

A sequential exploratory mixed methods approach guided research on the science program infrastructures (SPI) of a sample of 28 high schools representing 1,370 high schools in a large southwestern state. Comparisons of SPI were made between and among schools representing highly successful schools of low (n=9) and high diversity (n=10) with less…

Using IEA's Trends in International Mathematics and Science Study (TIMSS) 2019 data, this brief explores the relationship between students' gender, their confidence and achievement in mathematics and science, and their aspirations to pursue careers in these fields. We find that more boys than girls at grade 8 want to have a mathematics- or…

Background: Researchers have acknowledged that examining ICT in relation to disciplinary learning outcomes could offer a promising, synergistic research path forward. A number of empirical studies have been done to determine the relationship between ICT-related variables and students' science achievement. However, the mechanism of the…

Context-Based Learning (CBL) and learning through developing and using models are two important teaching approaches for chemistry conceptual understanding. We aimed to examine the influence of a CBL approach on students' understanding of Multiple Models of Knowledge Representations ("MMKRs") and "multiple molecular…