Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…

Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…

Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…

Little is known about the evaluation practices of environmental educators. Questionnaires and discussion groups with a convenience sample of UK-based practitioners were used to uncover their evaluation methods. Although many report that they are evaluating regularly, this is mainly monitoring numbers of participants or an assessment of enjoyment.…

There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…

The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

The purpose of this study was to assess the role of common motor responses as the "speaker" behavior on stimulus class formation,and the emergence of functional classes. Experiment 1 examined whether training one motor response to a set of three stimuli and a second motor response to another set of three stimuli would result in correct…

Despite the recent technical and theoretical advances in the investigation of children's social relations, the inherent complexity of these methods may prevent their easy integration into the classroom. A simple and effective tool can be valuable for teachers who wish to investigate students' social realities in the classroom. Therefore, the…

The student full-time equivalent (FTE) measure has a long history in U.S. postsecondary education. Credit hours, contact hours, and their derivative FTE have been used as proxies for both student and faculty effort. FTE ultimately became a core measure for planning, evaluating and assessing human resource allocation within higher education.…

Five data collection methods are described: interviews of individuals, nominal group approaches, administration of questionnaires, inspection of records, and the Delphi decision making technique. A matrix is included and provides a brief description of each method, along with its choice criteria and its advantages and disadvantages. (BM)

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

Professionals responsible for educational research, evaluation, and statistics have sought to provide timely and useful information to decision makers. Regardless of the evaluation model, research design, or statistical methodology employed, informing the decision making process with quality, reliable data is a basic goal. The definition of…

Special emphasis is given to the kinds of control that can be exercised over initial status, including the use of proxy input data. A rationale for the classification scheme is developed, based on (1) three one-shot, one cross-sectional, and two longitudinal data types and (2) two types of referencing: criterion referencing and norm referencing.…

The methodological and practical problems that are especially common in or unique to assessment research in correctional settings are discussed. The distinctive culture of correctional institutions and the complications caused by governing bodies contribute to the particular problems encountered in collecting and analyzing data. (SLD)