This paper presents an empirically-derived CAQDAS Postgraduate Learning Model (CPLM) that illustrates the importance of integrated learning of qualitative methodology and technology for postgraduate students. Developed from analysis of a qualitative data-set of interview transcripts, survey responses and support-session observations constructed…

Neuroscience can greatly benefit from using novel methods in computer science and informatics, which enable knowledge discovery in unexpected ways. Currently one of the biggest challenges in Neuroscience is to map the functional circuitry of the brain. The applications of this goal range from understanding structural reorganization of neurons to…

In higher education settings more and more learning is facilitated through online learning environments. To support and understand students' learning processes better, learning analytics offers a promising approach. The purpose of this study was to investigate students' expectations toward features of learning analytics systems. In a first…

In this paper, we describe a framework for data analysis that can be embedded into a base application. Since it is important to analyze the data directly inside the application where the data is entered, a tool that allows the scientists to easily work with their data, supports and motivates the execution of further analysis of their data, which…

One of the main problems faced by university students is to create and manage the semester course plan. In this paper, we present a course enrollment recommender system based on data mining techniques. The system mainly helps with students' enrollment decisions. More specifically, it provides recommendation of selective and optional courses with…

The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…

Classrooms are complex environments. Ethnography can help researchers understand these complexities as they gather information by watching and talking with people, reading available reports and records and mapping out the environment. This case adds to existing literature on ethnography as we share our own experiences of what we refer to as…

Digital game-based assessments generate student process data that is much more difficult to analyze than traditional assessments. The formative nature of game-based assessments permits students, through applying and practicing the targeted knowledge and skills during gameplay, to gain experiences, receive immediate feedback, and as a result,…

The Stanford Educational Data Archive (SEDA) is the first data set to allow comparisons of district academic achievement and growth from Grades 3 to 8 across the United States, shining a light on the distribution of educational opportunities. This study describes a convergent validity analysis of the SEDA growth estimates in mathematics and…

Legal, privacy and ethical concerns impacted data sharing among post-secondary institutions in academic collaboration in Ontario. The legal/ethical environment was embodied by FIPPA (Freedom of Information and Protection of Privacy) legislation, Research Ethics Board protocols and Institutional Acts enacted by the provincial parliament.…

Data-driven learning (DDL; Johns, 1991), involving students' hands-on use of corpora for self-guided language learning, is a methodology now increasingly used in many tertiary contexts to enhance the teaching of disciplinary postgraduate thesis writing. However, there are still few studies tracking students' actual engagement with corpora for DDL.…

The collection of data by government authorities has a complex history. In Australia, this began with the establishment of British government settlements as a way to account for fiscal viability and social prospects. As the colonies became self-governing entities, the collection of social and economic data increased in importance, and included…

The research on using event logs and item response time to study test-taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed the keystroke logs collected from 761 middle school students in the United States as they completed a persuasive writing task. Seven variables were extracted from the…

The purpose of this study is to examine the public opinion on the Common Core State Standards (CCSS) on Twitter. Using Twitter Application Program Interface (API), we collected the tweets containing the hashtags #CommonCore and #CCSS for 12 months from 2014 to 2015. A Common Core corpus was created by compiling all the collected 660,051 tweets.…

At Tamassee-Salem Elementary School in South Carolina, teacher Anna Durham likes to have data conferences with her third graders. She creates a simple graph of their MAP® Growth™ interim assessment scores with past and current scores, along with a future goal. She believes talking about goals--and how they will get there together--helps to engage…