Response styles introduce construct-irrelevant variance as a result of respondents systematically responding to Likert-type items regardless of content. Methods to account for response styles through data analysis as well as approaches to mitigating the effects of response styles during data collection have been well-documented. Recent approaches…

The first part of this dissertation conducts a large-scale study comparing general and usage-based indices of syntactic complexity in L2 Mandarin writing samples across a wide range of proficiency levels. To do this, the Tool for the Automated Analysis of Syntactic Sophistication and Complexity (TAASSC; Kyle, 2016) was adapted for Mandarin by…

Systems for learning and producing knowledge, such as career and technical education (CTE), often reproduce inequities unless an equity-focused lens is used when designing, implementing, and evaluating programs. This framework presents guidance for conducting CTE research with an intentional focus on equity. Developed by the CTE Research Network's…

The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…

Financial Aid Awards for first-time college students include a variety of offerings, including scholarships, grants, and loans. One award of financial assistance, Federal Work-study, is different from other types of financial aid awarded in that students must work to earn the funds. Yet, it is included as estimated financial assistance (EFA) and…

Feedback is an essential part of the educational assessment that improves student learning. As education changes with the advancement of technology, educational assessment has also adapted to the advent of Artificial Intelligence (AI). Despite the increasing use of online assessments during the last decade, a limited number of studies have…

Understanding how students with low socioeconomic status finance their tuition over time can help us comprehend the impact of students' decisions on their subsequent curricular progress, graduation, or dropout. This work presents a curricular analytics approach using process mining techniques to study educational funding trajectories as processes.…

This paper presents an innovative teaching approach that integrates photoelectric technology with analytical chemistry instruction through inquiry-based learning (IBL), using cerium as a selected analyte. With the advancement of science and technology, a strong foundation of basic knowledge and methodologies is crucial in analytical chemistry…

Business analytics has become a critical tool in today's data-driven world, enabling organizations to extract insights, optimize decisions, and gain competitive advantages. As the demand for skilled professionals in business analytics grows, higher education institutions are increasingly focused on equipping students with the necessary knowledge…

Artificial intelligence (AI) has emerged as a transformative tool in academic writing, leveraging advanced algorithms and natural language processing to significantly improve efficiency, quality and productivity. This study investigates the use of AI tools among Indonesian doctoral students, with a particular focus on ethical standards and their…

Dashboards have become a crucial element of contemporary business operation and management; therefore, it is desirable for business students to acquire knowledge of them. This article investigates the effectiveness of designing learning activities around investment dashboards in the context of introductory business analytics (IBA) courses. We…

The purpose of this resource is to help math teachers unpack, understand, and implement the current math content and practice standards. It describes the progressions of learning within each course and provides content supports that include broad ideas about effective instruction as well as practical instructional strategies. Math teachers,…

The article presents an open educational resource (OER) to introduce humanities students to data analysis with Python. The article beings with positioning the OER within wider pedagogical debates in the digital humanities. The OER is built from our research encounters and committed to computational thinking rather than technicalities. Furthermore,…

Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…

The purpose of this article is to further the methodological cross-fertilization between qualitative social science researchers and psychoanalytic theoreticians by outlining and demonstrating a method of intertextual psychoanalytic-intersubjective analysis (IPIA) in qualitative research. The authors believe that such a bridge between the…