Participation in web surveys via smartphones increased continuously in recent years. The reasons for this increase are a growing proportion of smartphone owners and an increase in mobile Internet access. However, research has shown that smartphone respondents are frequently distracted and/or multitasking, which might affect completion and response…

For a QA system it's very important to have a notion of vocabulary used in questions and for building correct answers. Especially, when a word represents a concept, one can use related lexical instances to understand it and further extend the knowledge by using the associated information. In this work, we suggest a process of building a knowledge…

One of the reported methods of cheating in online environments in the literature is CAMEO (Copying Answers using Multiple Existences Online), where harvesting accounts are used to obtain correct answers that are later submitted in the master account which gives the student credit to obtain a certificate. In previous research, we developed an…

Background: Motor vehicle crashes are the leading cause of adolescent death. Cell phone use while driving is a contributor to adolescent motor vehicle crash risk. Objective and directly observable measures of cell phone use while driving are needed to implement interventions aimed at reducing cell phone-related crash risk. Aims: To describe novel…

Articles published in the Web of Science database between 2014 and 2019 (March) were screened in this research. This is because of its respected position in the field of technology and the peer-reviewed secured structure of this database. From a total of 56 articles within the scope of the screening, 46 articles were included in the study. As a…

Response to Intervention (RTI) is a general education initiative intended to identify struggling readers and provide them with early, targeted intervention. The RTI model--which emphasized research-based instruction presented with fidelity along with the use of informed student data--was adopted by many school districts not only to provide…

To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…

The main purpose of institutional research (IR) is to provide objective, systematic, and thorough data that support an institution's enrollment goals, planning, policy formation, and decision making. Traditionally, institutions gathered data on their activities, students and staff, programs, management, and operations. University staff then…

This report is prepared in compliance with HB 1661, which requires the Washington State Department of Children, Youth, and Families (DCYF or the Department) to report to the legislature on development of and progress toward achieving outcome goals for children, youth and families. In addition, this report provides an update on other supportive…

State and school report cards provide a powerful avenue for states to reach families and the broader public as essential partners in improving student outcomes. The federal Every Student Succeeds Act (ESSA) and many state legislatures require states to publish an array of education data including measures at the state, district, and school levels.…

Clustering of educational data allows similar students to be grouped, in either crisp or fuzzy sets, based on their similarities. Standard approaches are well suited to identifying common student behaviors; however, by design, they put much less emphasis on less common behaviors or outliers. The approach presented in this paper employs fuzzing…

Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve (LGC) model (e.g., McArdle, 1988) and extended the assessment of growth to multidimensional IRT models (e.g., Hsieh, von Eye, & Maier, 2010; Huang, 2013) and higher-order IRT models…

Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…

The current Canadian higher education environment is one in which there is competition for limited resources, learning must be measured and demonstrated, and student demographics are evolving and changing on a continual basis. The field of Student Affairs in higher education, which traditionally provides support services to students and is often…

State postsecondary education data systems are vital information assets for policymakers, researchers, and the public. The Communities of Practice project (funded by the Bill & Melinda Gates Foundation) at the State Higher Education Executive Officers Association (SHEEO) builds upon SHEEO's ongoing efforts to measure the capacity and effective…