In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…

In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo algorithm was applied to simulate the randomness of the input variables and evaluate the output distribution. It has been shown that under certain…

Rigor evaluation in mixed methods research is a growing need. Linking rigor to Hong and Pluye's (2019) concepts of methodological and reporting quality, the purpose of this article is to operationalize and expand Harrison et al.'s (2020) Rigorous Mixed Methods Framework. Drawing from a systematic methodological review of 66 inclusive education…

Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

This paper aims to characterize critical events noticed by novice mathematics teacher-educators (NMTEs) while they facilitate teacher education sessions. Twenty-four NMTEs enrolled in a university course on teaching teachers were asked to facilitate a series of three sessions with preservice teachers, identify critical events from those sessions…

Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…

Generalized structured component analysis (GSCA) is a multivariate method for specifying and examining interrelationships between observed variables and components. Despite its data-analytic flexibility honed over the decade, GSCA always defines every component as a linear function of observed variables, which can be less optimal when observed…

Teacher classroom teaching behavior indicators serve as a crucial foundation for guiding instructional evaluation. Existing indicator system suffers from limitations such as strong subjectivity and weak contextual generalization capabilities. Generalized category discovery (GCD) enables automatic data clustering to identify known categories and…

The question of integrating learning content into a serious game is a recurring one, although no clear theoretical framework has yet been provided. It is often argued that integration should occur at the core mechanic level, but this simple statement conceals the complexity of serious game design. The authors therefore propose a theoretical…

There are many important and interesting academic competitions that attract an increasing number of students. However, traditional student team building methods usually have strong randomness or involve only some first-class students. To choose more suitable students to compose a team and improve students' abilities overall, a competition-oriented…

Effective communication skills are essential for success in both academic and professional contexts. This concept paper presents a novel framework designed to operationally define and support the development of assessments of communication skills with a specific emphasis on K-12 settings. Through discussions on important considerations for the…

How can governments train thousands of teachers effectively and at scale? This implementation research shares evidence from Sierra Leone's nationwide initiative to train 12,500 Grade 1 teachers and headteachers in structured pedagogy. Drawing on test data from over 7,500 teachers, classroom observations, and feedback from more than 5,600…

Purpose: This study aims to describe the fundamentals of teaching risk management in a classroom setting, with an emphasis on the learning interface between higher education and the workplace environment for business management students. Design/methodology/approach: The study reviews literature that uses spreadsheets to visualize and model risk…

Teaching leadership in today's world requires a combination of introducing theory and best practices, as well as allowing moments that are happening in real-time, both current events and interactions from the "laboratory" of the classroom, to affect the teaching agenda. Instructors can lean into the model of Intentional Emergence (IE) to…

Fostering students' scientific literacy is a key goal of science education, with understanding the nature of scientific inquiry (NOSI) as a central component. Achieving this goal requires teachers to possess adequate knowledge in this area. However, assessments indicate that pre-service science teachers (PSTs) have not yet developed comprehensive…