This paper discusses the key findings from a qualitative case study examining the implementation of an activity-based cost management model (ABC model) at a large community college. In a climate of fiscal uncertainty, the college adopted this model with the goal of improving budgetary decision-making. The paper examines faculty and administrators'…

The aim of this paper is to identify and describe the key traits of research with life histories. Previous studies on disability and my own work conducting research with the life histories and university experiences of students with disabilities help to explain how these key characteristics manifest themselves in practice. There are six traits…

Isolated teachers in stand-alone American schools are expected to engage diverse students in the quest to facilitate their academic learning and achievement. This strategy assumes that all students will come to school ready and able to learn, and educators in stand-alone schools can meet the needs of all students. Student disengagement gets short…

Higher education (HE) research often draws on a range of qualitative research approaches. However, some methods developed in other fields are underutilised in HE research, even though they could be of great use for answering particular kinds of research questions, or for involving students more actively in the research process. In this article, we…

Increasingly learning analytics (LA) has begun utilising staff- and student-facing dashboards capturing visualisations to present data to support student success and improve learning and teaching. The use of LA is complex, multifaceted and raises many issues for consideration, including ethical and legal challenges, competing stakeholder views and…

This study describes a method for collecting data from nonliterate, non-English-speaking populations. Our audio computer-assisted self-interview instrument with color-labeled response categories was designed for use with helper assistance. The study included 30 dyads of nonliterate older Hmong respondents and family helpers answering questions…

The competition for international students has spurred higher education institutions (HEIs) to craft marketing campaigns to appeal to potential students, with social media providing an increasingly prominent platform for such interactions. We analyse the social media data trails (Facebook posts) of two Israeli HEIs to reveal how they portray…

An innovative system-building initiative known as the STEM Learning Ecosystems Community of Practice (SLECoP) is transforming U.S. STEM education through cross-sector partnerships between schools, afterschool and summer programs, libraries, museums, and businesses, among others. Although logic models exist to describe how SLEs can make positive…

Although the use of tables, graphs, and figures to summarize information has long existed, the advent of the big data era and improved computing power has brought renewed attention to the field of data visualization. As such, it is crucial that introductory statistics courses train students to become critical authors and consumers of data…

In March 2020, the National Center for Special Education Research (NCSER) virtually convened a group of experts to discuss gaps in research on eighth grade mathematics for students with disabilities (SWD) that could be addressed with the NAEP process data and data science techniques for this research. Invited experts also provided recommendations…

Bias may be introduced in survey data collection when participants answer questions differently depending on interviewer gender. This could affect the validity of collected data, especially sensitive data. Using sexual behavior data collected in a 2017-2018 cross-sectional survey of Haitian women (n = 304), we evaluated the associations between…

Although high school graduation rates are improving, many students are still not successful. Research has documented that 9th grade is a pivotal year in determining whether a student will graduate or drop out. The purpose of this randomized controlled trial was to assess the effects of a Tier 1 intervention model (freshmen success) for 9th grade…

Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…

This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…

Mixed methods-grounded theory (MM-GT) has emerged as a promising methodology that intersects the value of mixed methods with rigorous qualitative design. However, recent reviews have found that MM-GT empirical studies tend to lack procedural details. The purpose of this article is to apply the "best practices" for conducting MM-GT in a…