This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…

E-business, e-education, e-government, social media, and mobile services generate and capture trillions of bytes of data every second about customers, suppliers, employees, and other types of data. The growing quantity of big data is an important part of every sector in the global economy. However, there is a significant shortage of business data…

Learner categorization has a pivotal role in making e-learning systems a success. However, learner characteristics exploited at abstract level of granularity by contemporary techniques cannot categorize the learners effectively. In this paper, an architecture of e-learning framework has been presented that exploits the machine learning based…

The advent of information technology has enabled firms to collect significant amounts of data about individuals and mine the data for developing their strategies. Profiling of individuals is one common use of data collected about them. It refers to using known or inferred information to categorize the type of an individual and to tailor specific…

The efficacy of online learning programs is tied to the suitability of the program in relation to the target audience. Based on the dataset that provides information on student enrollment, academic performance, and demographics extracted from a data warehouse of a large Southwest institution, this study explored the factors that could distinguish…

Anomaly detection is an important and indispensable aspect of any computer security mechanism. Ad hoc and mobile networks consist of a number of peer mobile nodes that are capable of communicating with each other absent a fixed infrastructure. Arbitrary node movements and lack of centralized control make them vulnerable to a wide variety of…

The necessity of evaluating research methodology is discussed, and a profiling approach is proposed. Explanatory statements about the research process, directions for doing the actual profiling of the research report, a research profiling flow chart, a research profile sheet, and two additional graphic aids to understanding are included. The…

This profile presents and summarizes available information about the quality of data from the five surveys that comprise the SASS, along with background material on the survey design and procedures for the following: (1) School Survey; (2) School Administrator Survey; (3) Teacher Demand and Shortage Survey; (4) Teacher Survey; and (5) Teacher…

Describes a monitoring project by the New York Board of Regents and State Education Department to provide insights into financial problems of independent institutions. Identifies institutions that need assistance and the kinds of assistance needed and provides a basis for protecting sensitive data involving institutions where closure is…

This study, which examined the demographic and educational characteristics of students who leave school before completing the twelfth grade, aimed to identify descriptive and predictive data on the potential school dropout in the Pasco School District of Washington State. The project was conducted as an initial step toward developing a data…

The papers given at the May 17-19, 1971 forum on Management of Information Analysis Centers held at the National Bureau of Standards in Gaithersburg, Md. are presented in four sessions separated by topic. Besides the welcoming remarks and the keynote address, session 1 contains three general papers on information analysis centers and automatic…

This paper explores ways in which technology (especially microcomputers) can improve the access to and utility of educational data for school improvement efforts. The paper focuses on the product and project options available to the Northwest Regional Educational Laboratory's Database and School Profiling program, which offers technical and…

Distributive Information Systems for Campuses (DISC) is a project to increase the data access and information generating capabilities of schools of the Austin (Texas) Independent School District by decentralizing data manipulation functions, while maintaining centralized data processing of major applications. The project means that campuses will…

The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…