Federal law requires states and school districts to institute accountability systems that report disaggregated student data to ensure that all children make academic progress. However, one of the mandated categories for disaggregation -- English Learner (EL) -- is reported as a single group despite representing students who are beginning,…

Because primary education is often conceptualized as a pro-poor redistributive policy, a common argument is that democratization increases its provision. But primary education can also serve the goals of autocrats, including redistribution, promoting loyalty, nation-building, and/or industrialization. To examine the relationship between…

Within multitiered behavioral frameworks such as schoolwide positive behavior interventions and supports (SWPBIS), it is recommended that schools use multiple sources of data to identify students at risk who may benefit from additional intervention. To date, much of the research in this area has focused on examining either systematic screening…

This study analyses "Al-?i?laal" phenomenon which takes place in Modern Standard Arabic (henceforth, MSA) derivational processes. Based on the description of Arab traditionalists such as Al-Raagihi (1984: 155) and AlGalaayiini (1991), "Al-?i?laal" is defined as "a change that occurs with vowel letters where they can be…

"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…

Q methodology is a method to systematically study subjective matters such as thoughts and beliefs on any given topic. Q methodology can be used for both theory building and theory testing. The purpose of this paper was to give a brief overview of Q methodology to readers with various backgrounds. This paper discussed several advantages of Q…

Purpose: The purpose of this study is to demonstrate an adaptation of the SERVQUAL survey method for measuring the quality of higher educational services in a Russian university context. We use a new analysis and a graphical technique for presentation of results. Design/methodology/approach: The methodology of this research follows the classic…

Educational research literature on mathematical modelling is extensive. However, not much attention has been paid to empirical investigations of its scholarly knowledge from the perspective of didactic transposition processes. This paper reports from an interview study of mathematical modelling activities involving nine professional model…

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…