The archive is a cultural institution that creates a framework for the social and collective memory and as such is one of the collection of knowledge institutions that not only preserves and classifies "texts" but uses them to re-create collective memory and sometimes to invent cultural histories. Like all knowledge institutions, the…

Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…

The teaching performance expectations and assignments that preservice art teachers currently address in field experiences and in their coursework are designed to help them meet the expectations of being a quality art educator in the 21st century. These assignments may be very different from the assignments that art educators had in their…

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…

Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…

The widespread adoption of online courses opens opportunities for analysing learner behaviour and optimising web-based learning adapted to observed usage. Here, we introduce a mathematical framework for the analysis of time-series of online learner engagement, which allows the identification of clusters of learners with similar online temporal…

A classroom activity is presented, which can be used in teaching students statistics with an easily generated, large, real world data set. The activity consists of analyzing a video recording of an object. The colour data of the recorded object can then be used as a data set to explore variation in the data using graphs including histograms,…

Importance: The article raises a point of visual representation of big data, recently considered to be demanded for many scientific and real-life applications, and analyzes particulars for visualization of multi-dimensional data, giving examples of the visual analytics-related problems. Objectives: The purpose of this paper is to study application…

The Oregon Department of Education (ODE) partnered with 15 elementary schools to obtain and analyze student-level daily attendance records for 6,390 students. Schools ranged in size from just over 100 students to more than 600 students. Geographic locations also varied with 4 schools located in a city, 4 in a suburb, 4 in a town, and 3 in a rural…

Online learning is one of the most important and well-established machine learning models. Generally speaking, the goal of online learning is to make a sequence of accurate predictions "on the fly," given some information of the correct answers to previous prediction tasks. Online learning has been extensively studied in recent years,…

Predicting overall student performance and monitoring progress have attracted more attention in the past five years than before. Demographic data, high school grades and test result constitute much of the data used for building prediction models. This study demonstrates how data from a peer-assessment environment can be used to build student…

Graph data such as argument diagrams has become increasingly common in EDM. Augmented Graph Grammars are a robust rule formalism for graphs. Prior research has shown that hand-authored graph grammars can be used to automatically grade student-produced argument diagrams. But hand-authored rules can be time consuming and expensive to produce, and…

Propelled by accountability policies, leaders have touted data-driven decision making as a means to improve K-12 student outcomes and drive equity, as teachers analyze data to change instruction. However, many data-driven decision-making reforms have failed to challenge inequity. Melanie Bertrand and Julie Marsh's study of six middle schools shows…

In this research, it is aimed to examine the graduate theses done about flipped classroom model in Turkey according to some variables. The data of this descriptive study which was conducted by a qualitative research approach was obtained from 105 master's and doctoral theses accessed from CoHE National Thesis Center database. The data were…

Emerging practices in both K-12 and higher education hold great promise in the establishment of equity frameworks. The use of finely disaggregated data, the effort to track additional student groups, and related work, all help to establish policies and tools to monitor the impact of reform efforts to address inequities. State programs and…