Single-case experimental designs (SCEDs) have a long history in clinical and educational disciplines. One underdeveloped area in advancing SCED design and analysis is understanding the process of how internal validity threats and operational concerns are avoided or mitigated. Two strategies to ameliorate such issues in SCED involve replication and…

Background: Sound learning design should be based on the constructive alignment of intended learning outcomes (LOs), teaching and learning activities and formative and summative assessment. Assessment validity strongly relies on its alignment with LOs. Valid and reliable formative assessment can be analysed as a predictor of students' academic…

This study examines how second/foreign language (L2) word difficulty estimates derived from item response theory (IRT) and classical test theory (CTT) frameworks are virtually identical in the context of vocabulary testing. This conclusion is reached via a two-stage process: (a) psychometric assessments of both approaches and (b) L2 word…

In this paper we develop a case for introducing a new teaching tool to undergraduate mathematics. Lean is an interactive theorem prover that instantly checks the correctness of every step and provides immediate feedback. Teaching with Lean might present a challenge, in that students must write their proofs in a formal way using a specific syntax.…

The Torrance Tests of Creative Thinking Figural Forms A and B are widely used to measure creative potential. Despite their common application in research, there has been a lack of focus on the psychometric properties of the tests. Thus, the scoring of the items is based on some unexamined hypotheses. The items are hypothesized to be equally…

Background: Although the Depression Anxiety Stress Scales, Short Form (DASS-21) was developed for adults, its authors noted no compelling reasons to not use the measure with youth as young as 12 years. Despite increasingly widespread use with youth, psychometric evidence in support of its use with this population needs to be investigated to fully…

Self-regulated learning has seen a large increase in research interest due to its importance for online learning of higher education students. Several ways to measure self-regulated learning have been suggested. However, most measurements are either obtrusive, necessitating time and effort from students and potentially influencing the learning…

The learning environment (LE) includes social interactions, organizational culture, structures, and physical and virtual spaces that influence the learning experiences of students. Despite numerous studies exploring the perception of healthcare professional students (HCPS) of their LE, the validity evidence of the utilized questionnaires remains…

Objective: To develop an instrument to examine tobacco-free campus policy components. Participants: Missouri two- and four-year, specialized/technical, and religious colleges and universities (N = 76). Methods: The instrument was informed via literature review and expert interviews. Coder agreement was strong ([kappa] = 0.80). Qualitative policy…

This study aims to investigate the role of digital learning platforms (DLP) as a mediator in the relationship between the social media capability (SMC) and academic performance (AP). It explores the individual impacts of SMC and DLP on academic performance. The study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze…

As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes to adapt to the challenges it poses. This study reports the development and validation of a scale called the Artificial Intelligence Learning Intention Scale (AILIS). AILIS was designed to measure…

The cybersecurity threat landscape evolves quickly, continually, and consequentially. This means that the "transfer" of cybersecurity learning is crucial. We compared how different recognized "cognitive" transfer theories might help explain and synergize three aspects of cybersecurity education. These include "teaching and…

This dissertation presents an innovative approach to examining the keying method, wording method, and construct validity on psychometric instruments. By employing a mixed methods explanatory sequential design, the effects of keying and wording in two psychometric assessments were examined and validated. Those two self-report psychometric…

GeoGebra is a dynamic software that is frequently used and of increasing importance in mathematics teaching processes in our digital age. Accordingly, in this study a new perspective has been brought to the proofs of the "two square difference identity" expressed for the square, which is a flat polygon, made with different approaches.…

The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…