In this article, Bob Woods reports that "Big data" is all the rage on college campuses, and it makes sense that administrators would use what they know to boost student outcomes. Woods points out that community colleges around the country are using the data: (1) to guide the systematic expansion of its curriculum, providing targeted…

This chapter focuses on how the climate of accountability in higher education is compelling student affairs organizations to develop comprehensive assessment programs, the challenges faced in creating those programs, and ways student affairs professionals can meet those challenges. For the purpose of this chapter, the author has defined assessment…

Guided-inquiry lab activities with bean beetles ("Callosobruchus maculatus") teach students how to develop hypotheses, design experiments, identify experimental variables, collect and interpret data, and formulate conclusions. These activities provide students with real hands-on experiences and skills that reinforce their understanding of the…

There has been much discussion about quantitative and qualitative approaches to research in different disciplines. In the behavioural and social sciences, these two paradigms are compared to reveal their relative strengths and weaknesses. But the debate about both traditions has commonly taken place in academic books. It is hard to find an article…

Two of the most important outcomes of learning analytics are predicting students' learning and providing effective feedback. Learning Management Systems (LMS), which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users' behaviors. The purpose…

Organizational effectiveness is a term without a single definition about the nonprofit community; it is difficult to define, much less measure, due to the wide disparity in that community. Inconsistency in the sector leads to an array of hypotheses in the literature addressing organizational effectiveness. Through a comprehensive examination of a…

Individual differences have an influence on a wide range of education fields. These differences can range from organizing teaching environments to the techniques and strategies that the teacher uses. This study focused on individual differences of pre-service teachers and aimed to investigate the perceptions of Education Faculty students on…

The study examined distance education as a tool for human resource development for junior secondary schools in Ebonyi State, Nigeria and it adopted a descriptive survey as the design. The population of the study consists of 2,410 secondary school teachers. Stratified simple random sampling technique was used to select 690 respondents. The…

What are the challenges faced by a mid-south liberal arts college teacher education program, in its attempt to successfully meet the new Council for the Accreditation of Educator Preparation (CAEP) accreditation requirements? The Investigator studied the Educator Program Provider (EPP) during academic year 2015-2016. The challenges faced by the…

The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, data systems alone will not improve outcomes. It is time for both DQC and states to focus on…

The goal of this study was to examine the reciprocal relationship between statistical investigation and motivation of college students in a Mathematical Reasoning course (Math 1). Unlike previous studies in which students' projects or statistical investigations have been examined as the final product that shows evidence of statistical…

This dissertation addresses the research challenge of developing efficient new methods for discovering useful patterns and knowledge in large volumes of electronically collected spatiotemporal activity data. I propose to analyze three types of such spatiotemporal activity data in a methodological framework that integrates spatial analysis, data…

Collaborative Evaluation systematically invites and engages stakeholders in program evaluation planning and implementation. Unlike "distanced" evaluation approaches, which reject stakeholder participation as evaluation team members, Collaborative Evaluation assumes that active, on-going engagement between evaluators and program staff,…

IES is the primary research, evaluation, and statistics arm of the U.S. Department of Education. Established through the Education Sciences Reform Act of 2002 (ESRA), the Institute's mission is to expand fundamental knowledge and understanding of education and to provide education leaders and practitioners, parents and students, researchers, and…

A core goal for most learning analytic projects is to move from small-scale research towards broader institutional implementation, but this introduces a new set of challenges because institutions are stable systems, resistant to change. To avoid failure and maximize success, implementation of learning analytics at scale requires explicit and…