In some studies, participants are assigned ethnographic or communicative tasks, such as field-work observation, life-story interviews, and photography. These studies usually involve in-person interaction, both for the participants doing the task and for the researchers in engaging with participants throughout the research process. Our study was…

The equity-efficiency tradeoff and cumulative return theories predict larger returns to school spending in areas with higher previous investment in children. Equity -- not efficiency -- is therefore used to justify progressive school funding: spending more in communities with fewer financial resources. Yet it remains unclear how returns to school…

From its earliest days, practitioners of computer-assisted language learning (CALL) have collected data from computer-mediated learning environments. Indeed, that has been a central aspect of the field from the beginning. Usage logs provided valuable insights into how systems were used and how effective they were for language learning. That…

Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…

Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…

Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…

We describe a method for analyzing student data from online programming exercises. Our approach uses contingency tables that combine whether or not a student answered an online exercise correctly with the number of attempts that the student made on that exercise. We use this method to explore the relationship between student performance on online…

A new lecture supporting system based on real-time learning analytics is proposed. Our target is on-site classrooms where teachers give their lectures, and a lot of students listen to teachers' explanation, conduct exercises etc. We utilize not only an e-Learning system, but also an e-Book system to collect real-time learning activities during the…

Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff and the general public. State coordinating and governing boards use these data systems for…

The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the provisional data for…

The challenges of conducting lengthy fieldwork in today's busy academic world have impacted the types of research that are able to be carried out. In particular, traditional educational ethnography has become problematic for research beyond initial doctoral research programs. This article analyzes data collected during a return to the field of a…

Digital technologies in combination with "big" data and predictive analytics are having a significant impact upon professional practices at individual, organisational, national and international levels. The interplay of code, algorithms and big data are increasingly pervasive in the governing, leadership and practices of different…

Insensitive research approaches have resulted in damaged relationships between non-Indigenous researchers and Indigenous communities, prompting scholars and funding agencies to call for more culturally compatible research methods. This paper addresses the qualities, skills and knowledge developed by six non-Indigenous researchers as they…

This paper presents best practices for conducting survey research using Amazon Mechanical Turk (MTurk). Readers will learn the benefits, limitations, and trade-offs of using MTurk as compared to other recruitment services, including SurveyMonkey and Qualtrics. A synthesis of survey design guidelines along with a sample survey are presented to help…

Collective impact is an increasingly popular approach to addressing persistent social problems. It takes a place-based systems approach to social change and compared with other forms of collaboration is meant to be more structured and strategic. Such an approach is intuitively appealing, and it has the support of stakeholders at the local level,…