This research investigates the Models of eighth-grade students in Turkey pertaining to magnets and magnetic interactions, while also examining the consistency of these models within themselves. Additionally, a comparative assessment is conducted by comparing the current data with data collected from eighth-grade students a decade earlier. The…

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…

In this study, we propose an integrated hierarchical model of computational estimation strategies (IHMCES), which can be used to organize a set of computational estimation strategies, used by a group of individuals, in strategy ranges. IHMCES can be used for the description of the repertoire, profile and flexibility of individuals regarding the…

This study aims to compare two different learning environments designed online in terms of their contributions to the development of mathematical modelling competencies. In the research, which was designed with the triangulation method, among the mixed research methods in which the qualitative and quantitative research methods are used together.…

Students should be provided with more meaningful learning experiences to attract more students to STEM careers, Out-of-School learning environments can offer students exciting and motivating learning opportunities that formal environments cannot provide. Therefore, national education reforms in many countries that are working on popularizing STEM…

Our research addresses the issue of teaching and learning concepts in science education as an empirical question. We study the process of conceptualization by closely examining the unfolding of classroom lesson sequences. We situate our work within the practice turn line of research on epistemic practices in science education. We also adopt a…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

The present research examined the joint effects of social, dimensional, and temporal comparisons on students' academic self-concepts and parents' beliefs about their children's competencies during students' transition phase from elementary school to junior high school. To this end, we tested the newly developed 2I/E model using longitudinal data…

Given the significant role that academic self-concept plays in students' learning, understanding the psychological processes involved in its formation continues to be an important focus of enquiry. There is strong empirical support for two major models of academic self-concept (ASC) formation: the big-fish-little-pond (BFLP) model and the…

The goal of this study is to explore the role of model comparison, which is a key activity of young learners' informal reasoning, with statistical models and modeling in the context of informal statistical inference. We suggest a framework to describe this reasoning (the RISM framework), and offer an illustrative case study of two-sixth graders…

As students' reading proficiency gaps persist across the United States, educational leaders have turned to alternative methods to foster effective instructional literacy practices. One approach to combat this dilemma is the implementation of scripted reading programs. The purpose of the study was to investigate the impact of scripted reading…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Despite decades of research on the close link between eye movements and human cognitive processes, the exact nature of the link between eye movements and deliberative thinking in problem-solving remains unknown. Thus, this study explored the critical eye-movement indicators of deliberative thinking and investigated whether visual behaviors could…

This quantitative causal-comparative study investigated the growth performance scores of English learners in grades three through five in reading, mathematics, and science in four English language educational programs: English as Second Language (ESL), Transitional Bilingual Education (TBE), Dual-Language Immersion (DLI), and No Services. I used…

The inclusion of engineering in the Next Generation Science Standards (NGSS) as a key component of K-12 science learning has provided both opportunities and challenges for elementary teachers. One challenge is integrating the design thinking processes that undergird engineering with core science concepts and current issues facing scientists and…