This study examines the intellectual consequences of writing about data in relation to disciplinary concepts. We collected and studied written assignments from sixteen students in which they had to analyze data provided by the instructor in a general education linguistics course. We also surveyed them at the beginning, middle, and end of the…

Data analysis inherently requires problem solving, yet it is the most understudied mathematical skill for individuals with extensive support needs. The current study taught elementary students with extensive support needs (i.e., autism and intellectual disability) to solve math word problems requiring analysis of scaled pictographs through…

Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive policymaking, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using surveys for data-based decision-making. To better understand…

Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…

The emerging large datasets have made efficient data processing a much more difficult task for the traditional methodologies. Invariably, datasets continue to increase rapidly in size with time. The purpose of this research is to give an overview of some of the tools and techniques that can be utilized to manage and analyze large datasets. We…

This paper discusses experiences of racism and racial discrimination of seven refugee immigrants attending different courses at two Technical and Further Education (TAFE) institutes in South East Queensland, Australia. In doing so, the paper draws from two studies that focused on resettlement of refugee immigrants in Australia. A transformative…

Within many preservice teacher education programs in Australia, mentoring is used as the overarching methodology for the professional placement. The professional placement is considered to be a key component of learning to teach, and typically a dyad mentoring model is utilized. However, it is reported that many preservice teachers experience a…

The use of mobile devices is increasing rapidly as a potential tool for science teaching. In this study, five educators (three middle school teachers and two museum educators) used a mobile application that supported the development of a driving question. Previous studies have noted that teachers make little effort to connect learning experiences…

Given the shifting demographics in American education, the rising likelihood of students with special needs being taught in inclusive classrooms, and the increasing openness with which students are challenging gender and sex norms, social justice has become a prevalent research topic in music education. This survey sought to investigate the…

Few empirical studies exist to guide researchers in determining the number of focus groups necessary for a research study. The analyses described here provide foundational evidence to help researchers in this regard. We conducted a thematic analysis of 40 focus groups on health-seeking behaviors of African American men in Durham, North Carolina.…

This paper explores challenges of teaching in relation to teachers' efficacy for 49 teachers who were part of a year-long teacher development program (PD) called the UrbanSTEM program. This program took place in an urban school district that serves over 300,000 students. This research asked if there are common challenges that urban teachers face…

This study explores the link between individualized, job-embedded professional development and teacher evaluation. Moreover, the study explores and describes job-embedded strategies that principals used to facilitate teacher development while working within a state-mandated evaluation system. The theoretical frame utilized four elements of…

This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…

Current preservice teacher education practice related to data use has been deemed inadequate, in that it is unevenly distributed and often superficial. In response, this article describes a course-based classroom assessment data-literacy experience for preservice elementary teachers. Grounded in extant theory and research concerning data literacy…

In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…