Learning analytics is an emerging field in which educators and researchers are using data to improve their students' educational experiences. One of the most common courses offered by higher academic institutions in the US is data science. This paper examines the data science syllabi found in today's academic sector and compares the results to…

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…

Peer-review software is often used to allow authors to evaluate their code and its technical text content. In education, peer review is a common practice used not only to evaluate the quality of academic research but also to measure students' engagement in the classroom. In visualization education, numerous researchers have addressed techniques of…

The current case study explores the journey that the University of Utah's Office of Admissions embarked upon over the past several years in order to strengthen campus partnerships as a means of meeting institutional enrollment goals. The study describes different approaches the Office of Admissions took to enhance its support of campus partners…

A steward of the discipline was originally defined as "someone who will creatively generate new knowledge, critically conserve valuable and useful ideas, and responsibly transform those understandings through writing, teaching, and application". This construct was articulated to support and strengthen doctoral education. The purpose of…

This mixed-methods observational study analyzes Advanced Placement (AP) Biology teachers' engagement in microblogging for professional learning. Data from three hashtag-based Twitter communities--#apbiochat, #apbioleaderacad, and #apbioleaderacademy (121 users; 2,253 tweets)--are analyzed using educational data mining, qualitative two-cycle…

In peer nomination research, individuals who do not provide nominations (nonparticipants) are often included on rosters as potential nominees. This can present ethical questions regarding informed consent, but psychometric consequences of excluding nonparticipants from rosters are unknown. In this investigation, Study 1 simulated both random and…

Research reliably demonstrates that teachers are the most important in-school factor affecting students' learning and lives. Yet on myriad measures of teacher quality, students from low-income families and students of color are less likely to have equitable access to excellent teachers. States set forth their plans to address any existing…

Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet…

Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…

In 1974, Congress passed legislation known as the "Family Educational Rights and Privacy Act" or FERPA, in response to "the growing evidence of the abuse of student records across the nation." The law was written to protect the confidentiality of information held in a student's records. With the introduction of technology in…

The population of Spanish-speaking preschoolers in the United States continues to increase and there is a significant need to develop psychometrically sound early language and literacy screening measures to accurately capture children's ability in Spanish. In this paper, we describe the innovative design and calibration process of the new…

A curriculum map is a visualisation of relationships within and between a curriculum or curricula. Curriculum mapping refers to the method for creating and using the curriculum map, however this term is used broadly and encompasses a variety of methodological approaches. Often, researchers in the field of curriculum studies conduct curriculum…

This report sets out the results of work undertaken by Learning and Work Institute (L&W) in 2017/18 to develop and test the use of social metrics in Adult Community Learning provision to capture a range of wider outcomes of learning. The report highlights lessons learned, examples of effective practice and suggests ways in which the use of…

This First Look report presents data on public elementary and secondary education revenues and expenditures at the local education agency (LEA) or school district level for fiscal year (FY) 2016. Specifically, this report includes findings for the following types of school district finance data: (1) Current expenditure totals and current…