Science education is crucial for fostering knowledge across academic disciplines. Past efforts to enhance science achievement at the elementary level have explored various instructional strategies. Among these, the Understanding by Design (UbD) model has shown notable potential in improving science achievement outcomes compared to traditional…

When conducting biological investigations, experts constantly integrate their conceptual and quantitative understanding of variation with the design and analysis of the investigation. This process is difficult for students, because curricula often treat these concepts as separate components. This study describes the effect of a curricular…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

The processes of mitosis and meiosis are oft-cited and long-standing examples of concepts that are difficult for students to learn and understand. While there are many examples in the literature of "how-to-do-it," innovative instructional approaches for teaching mitosis and meiosis, publications that include measurement of learning gains…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

Metacognitive ability is enormously important for improving students' learning performance. However, overconfidence bias may hinder students' metacognition abilities. Therefore, in this study, we conducted an intervention to reduce or debias overconfidence among students using the KAAR (knowledge, awareness, action, and reflection) model. Ninety…

Purpose: This study reports on the outcome of an investigative inquiry approach - Model Based Inquiry (MBI) on achievement and critical thinking of college pre-service chemistry teachers. Methodology: Anchored on Constructivism, the study employed quasi experimental (nonequivalent control group) design. A total of 174 level 200 college pre-service…

This study tests the influence of a video-based, analysis-of-practice professional development (PD) program on upper-elementary teachers' science content knowledge, pedagogical content knowledge, and teaching practice and on their students' achievement. Using a cluster-randomized experimental design, the study compares the outcomes for teachers in…

Item response theory (IRT) has so many advantages than its precedent Classical Test Theory (CTT) such as non-changing item parameters, ability parameter estimations free from the items. However, in order to get these advantages, some assumptions should be met and they are; unidimensionality, normality and local independence. However, it is not…

Background: The current study compared four differential item functioning (DIF) methods to examine their performances in terms of accounting for dual dependency (i.e., person and item clustering effects) simultaneously by a simulation study, which is not sufficiently studied under the current DIF literature. The four methods compared are logistic…

Model-based reasoning has been introduced as an authentic way of learning science, and many researchers have developed technological tools for learning with models. This paper describes how a model-based tool, "BioLogica"™, was used to facilitate genetics learning in secondary 3-level biology in Singapore. The research team co-designed…

In 2006 in England an innovative suite of science qualifications for 14-16-year-olds called Twenty-First Century Science (21CS) was introduced. These qualifications have a strong focus on developing scientific literacy in all students whilst simultaneously providing preparation for the study of post-compulsory science for a smaller proportion of…

Representational competence is a primary contributor to student learning in science, technology, engineering, and math (STEM) disciplines and an optimal target for instruction at all educational levels. We describe the design and implementation of a learning activity that uses concrete models to improve students' representational competence and…

Background: Large-scale cross-national studies designed to measure student achievement use different social, cultural, economic and other background variables to explain observed differences in that achievement. Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices. To allow…

This study investigated the learning impact of self-paced learning prototype in optimizing classroom instruction towards students' learning in Chemistry. Two sections of 64 Laboratory High School students in Chemistry were used as subjects of the study. The Quasi-Experimental and Correlation Research Design was used in the study: a pre-test was…