Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…

Teachers form expectations that can influence their students' performance, and there are a variety of ways these expectations can be communicated. In the current study, we tested a novel method for communicating expectations via examples of student work--examples that contain basic, entry-level work and communicate low, but manageable expectations…

This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…

Aim/Purpose: Business analytics is a cross-functional field that is important to implement for a college and has emerged as a critically important core component of the business curriculum. It is a difficult task due to scheduling concerns and limits to faculty and student resources. This paper describes the process of creating a central video…

This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…

Research on teacher stability typically focuses on the extent to which teachers remain in the same school, district, or the teaching profession from one year to the next. I investigate another facet of stability--whether teachers remain in the grade they teach. Drawing on administrative data from a large district in California, I find that high…

The authors intend to describe the experience of developing and teaching an online marketing research class for master of business administration students. The class has been taught for four fall semesters. Each time, the class also completed an online survey, analyzed the resulting data, and wrote a detailed report for a real client. The course…

Embedded librarians in online courses provide a wealth of service and information to students. Though students indicate that these services are valuable, the librarians providing embedded services frequently note that these projects are very time consuming. This study examines the provision of a less time-intensive model of embedded librarianship…

New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…

Developed as a concept in the science of choice, subtle interactions--or "nudges"--can influence people's actions without infringing on their freedom of choice. This article makes the case that not only can the wealth of digital data in higher education nudge students to better achievement and persistence but also that the knowledge embedded in…

A key component to the new wave of performance-based pay initiatives is the use of student achievement data to evaluate teacher performance. As greater amounts of student achievement data are being collected, researchers have been developing and applying innovative statistical and econometric models to longitudinal data to develop measures of an…

The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…

Amendments to the Selective Service Act passed in 1967 resulted in a substantial increase in Air Force accession of non-prior-service college graduate airmen. The study was conducted to determine if the assignments given this group related to their academic specialties. Data from a sample group of these airmen revealed that a majority had received…

A study was undertaken among 595 students in a college psychology course to determine the relationship of test performance to competing academic assignments. Findings indicate that, in spite of a high anxiety level, college students are able to deal with the usual variations in workload that characterize academia. (Author/DB)