In physics education research, instructors and researchers often use research-based assessments (RBAs) to assess students' skills and knowledge. In this paper, we support the development of a mechanics cognitive diagnostic to test and implement effective and equitable pedagogies for physics instruction. Adaptive assessments using cognitive…

Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…

The integration of technology into learning assessment activities makes it easy for educators to carry out online assessments which provide convenience for students and an effective assessment. The purpose of this research is to find out the response of students in the Biology Education Study Program towards online assessment platforms for Biology…

The aim of the present study is to reconcile previous findings (a) that testing mode has no effect on test outcomes or cognitive load (Comput Hum Behav 77:1-10, 2017) and (b) that younger learners' working memory processes are more sensitive to computer-based test formats (J Psychoeduc Assess 37(3):382-394, 2019). We addressed key methodological…

The purpose of this study is to examine the views of the course teacher, students' and participant researcher's field notes about traditional (smart board, pen and paper, oral) and Web 2.0 supported (A Sample of Kahoot) formative assessment in 5th grade science course. The study employed case study design. The participants of the study were a…

The current investigation reflects on the insufficient performance of students in virtual exams in the era of transformation of the physical mode of education to digital one due to the passive adaptation to the technical drive of the virtual environment, the tenuous command of platform's technical language, especially in mathematics and physics…

Students' problem-solving strategies and the differences among strategy groups were explored by analyzing the process data collected during student interactions with computer-based science items. Data were gathered from 1516 eleventh-grade students from 4 schools in China. Analyses of the sequences of students' response actions revealed that the…

The study implements and investigates an innovative learning approach that incorporates Flipped Classroom (FC) methodologies and electronic assessment (e-assessment) in Context-Based Learning (CBL) in chemistry among middle school students. The study incorporated mixed methods strategies and (a) examined learners' attitudes toward and perceptions…

Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…

Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…

The COVID-19 pandemic has inspired the implementation of a number of online educational activities designed to promote appropriate measures, such as social distancing, in order to avoid spread of the disease. In these circumstances, ensuring that extracurricular activities in science education adapt to the changing situation is of crucial…

This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…

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,…

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing the 2019 coronavirus disease (COVID-19) pandemic is tragic, yet we can still learn a great deal about the virus and its effects. The biochemistry of the virus is rather interesting despite its ill effects, and it is important to know how it works to understand how to defeat…

This dissertation focuses on three manuscripts all related to bolstering science achievement through recommendations from the National Research Council (NRC) regarding the teaching and learning of science. The manuscripts address meeting the NRC's call to incorporate curriculum and assessment that lead to more in-depth knowledge that can be…