In this study, in line with TIMSS 2019 data, 8th grade students' school engagement in the Turkish education system and various variables in the field of science and mathematics, which are thought to be related to school engagement, were examined with the Random Forest method, a method amongst data mining methods. This research focuses on student…

The biology education literature includes compelling assertions that unfamiliar problems are especially useful for revealing students' true understanding of biology. However, there is only limited evidence that such novel problems have different cognitive requirements than more familiar problems. Here, we sought additional evidence by using…

Background: Research on chemistry education has found that students have commonly some difficulties in understanding chemical changes. These difficulties in the learning process have negatively affected students' success. For this reason, it is very important to overcome students' learning difficulties with new materials that prevent the…

Written examinations for laboratory courses fall short in testing students' technical skills, problem-solving abilities, and execution of experimental design. This has led to practical examinations growing in popularity, but examples for senior-level students remain scarce. Senior organic chemistry students are gearing toward independence to…

Ludic-didactic material has systematically been proven to be a useful tool that enhances teaching and learning processes, at practically any educational level by reducing the stress level of students and creating a feeling of team spirit and trust. In chemistry courses, significant efforts have been made to improve the learning of intermolecular…

Organic chemistry is a class well known to be difficult and necessary for many careers in the sciences, and as a result, has garnered interest in researching ways to improve student learning and comprehension. One potential way involves using eye tracking techniques to understand how students visually examine questions. Organic chemistry involves…

We add to a growing literature suggesting that demographic grade gaps should be attributed to biases embedded in the courses themselves. Changes in the structure of two different introductory physics classes were made while leaving the topics covered and the level of coverage unchanged. First, a class where conceptual issues were studied before…

In this study, we aim to analyze the effects of discovery-based learning through film viewing on students' knowledge about a specific animal species and its habitat. The following hypothesis is tested: students' knowledge about animals and their environment is greater as a result of discovering information through watching videos. The study…

Using data from the Trends in International Mathematics and Science Study (TIMSS), this study examines the student and school characteristics that contribute to students' mathematics performance in early elementary school in Chile. Previous research has separately analyzed the association of student and school factors with mathematics performance.…

This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…

Online quizzes and learning platforms provided by textbook publishers have become common components of undergraduate education. Here, I examine how participation in these formative assessments related to student course performance. Over multiple semesters, students completed either free online unlimited attempt quizzes or assignments from a…

The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…

The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…

Nature of science (NOS) has become one of the major emphases in curriculum and assessment. This study explores "what" NOS is included and how this is achieved in the Hong Kong biology curriculum and 7-year high-stakes assessments. While conceptualizations of the official definition of NOS differ, this study employs the family resemblance…

Machine learning (ML) is an emergent computerised technology that relies on algorithms built by 'learning' from training data rather than 'instruction', which holds great potential to revolutionise science assessment. This study systematically reviewed 49 articles regarding ML-based science assessment through a triangle framework with technical,…