The goal of this study is to model pauses extracted from writing keystroke logs as a way of characterizing the processes students use in essay composition. Low-level timing data were modeled, the interkey interval and its subtype, the intraword duration, thought to reflect processes associated with keyboarding skills and composition fluency.…

Knowledge regarding social information is commonly believed to be derived from sources such as formal relationships and interviews and can be plotted as complex networks. We explored whether social networks can also be extracted through other means by using language statistics. In three computational studies we computed first-order and…

In recent decades, conceptualizations and operationalizations of self-regulated learning (SRL) have shifted from SRL as an aptitude to SRL as an event. Alongside this shift, increased technological capability has introduced computer log files to the investigation of SRL, uncovering new research avenues. One such avenue investigates the…

This paper introduces a learning analytics policy and strategy framework developed by a cross-European research project team -- SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed adapting…

Extension faculty and staff are constantly planning, implementing, and evaluating programming efforts. Data from participants are needed for assessing changes in knowledge, attitude, and behavior through summative and formative evaluation. However, collecting these data can be time-consuming and hard to achieve. A technological tool called…

Innovations in data science like predictive analytics, data mining, and data reduction have improved a variety of fields. Innovations in data science have also enabled the growth of two data-driven movements primarily used in clinical and counseling psychology: the common factors and common elements approaches. Each of these movements contains…

Emerging careers in technology-focused fields such as data science coupled with necessary graduate outcomes mandate the need for a truly interdisciplinary pedagogical approach. However, the rapid pace of curriculum development in this field of inquiry has meant that curricula across universities has largely evolved in line with the internal…

Accreditation is a process by which programs demonstrate their academic quality; that is, they demonstrate that they are making decisions for programmatic changes based on: (1) a sound theoretical foundation; (2) clearly stated mission, goals, and objectives; (3) a comprehensive self-study and thoughtful use of best practices; and (4) consistent,…

Qualitative education research is an inherently complex landscape, presenting the qualitative researcher with constant ethical and reasoned decision-making. Presented as a narrative dialogic, this paper traces and juxtaposes the method stories of two qualitative researchers who focused their work around education phenomena, but in different…

At an elementary school in the northeastern region of the United States elementary teachers struggled with using data to make instructional decisions. The purpose of this qualitative study was to explore elementary teachers' perceptions about how their teaching experiences prepared them to use data to make lesson decisions. The…

Administrators are under the intense pressures of accountability to meet expectations in both student achievement and school improvement. To survive the intensity, administrators must exercise data informed leadership of which the epicenter is effective data use. This descriptive study was designed to examine the perceptions of administrators'…

Recent works on Intelligent Tutoring Systems have focused on more complicated knowledge domains, which pose challenges in automated assessment of student performance. In particular, while the system can log every user action and keep track of the student's solution state, it is unable to determine the hidden intermediate steps leading to such…

Academic achievement of a student in college always has a far-reaching impact on his further development. With the rise of the ubiquitous sensing technology, students' digital footprints in campus can be collected to gain insights into their daily behaviours and predict their academic achievements. In this paper, we propose a framework named…

Asking questions about your data is a constant application of all business organizations. To facilitate decision making and improve business performance, a business intelligence application must be an integral part of everyday management practices. Microsoft Excel added PowerPivot and PowerPivot officially to facilitate this process with minimum…

Determining the number of dimensions underlying many variables in the data or many items in the test is a crucial process prior to performing exploratory factor analysis. Failure to do so leads to serious consequences concerning construct validity. Parallel analysis (PA) has been found to be useful to determine the number of dimensions (i.e.,…