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…

Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…

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…

Quasi-experiments are common in studies that estimate the effect of instructional interventions on student performance outcomes. In this type of research, the nature of the experimental design, the choice in assessment, the selection of comparison groups, and the statistical methods used to analyze the comparison data dictate the validity of…

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…

Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…

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…

Rapid growth of Advanced Placement (AP) exams in the last 2 decades has been paralleled by national enthusiasm to promote availability and rigor of science, technology, engineering, and mathematics (STEM). Trends were examined in STEM AP to evaluate and compare growth and achievement. Analysis included individual STEM subjects and disaggregation…

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…

There are two mainstream curricula for international school students at the junior high level: the International Baccalaureate (IB) Middle Years Programme (MYP) and the Cambridge International General Certificate of Secondary Education (IGCSE). The former was developed in the mid-1990s and is currently being relaunched in a 21st-century approach.…