Education Commons^™

How Should Institutions Of Higher Education Define And Measure Student Success? Student Success As Liberal Education Escapes Definition And Measurement, Laura E. Smithers, Peter M. Magolda (Ed.), Marcia B. Baxter Magolda (Ed.), Rozana Carducci (Ed.)

Educational Foundations & Leadership Faculty Publications

[First paragraph]

The question structuring this chapter begins with the presumption that we should define and measure student success. The perspective missing from this question is: What possibilities exist for versions of student success in excess of its definition and measurement? Measurements ask us to standardize definitions of success—say, four-year graduation—and work to produce all students in this image. As a former academic adviser, I can read a university catalog and tell you the quickest pathways to graduation a university has to offer. This makes me an asset to institutions that place a value on student success as measured by …

Factors Contributing To Student Retention In Online Learning And Recommended Strategies For Improvement: A Systematic Literature Review, Pauline S. Muljana, Tian Luo

STEMPS Faculty Publications

Aim/Purpose

This systematic literature review investigates the underlying factors that influence the gap between the popularity of online learning and its completion rate. The review scope within this paper includes an observation of possible causal aspects within the non-ideal completion rates in online learning environments and an identification of recommended strategies to increase retention rates.

Background

While online learning is increasingly popular, and the number of online students is steadily growing, student retention rates are significantly lower than those in the traditional environment. Despite the multitude of studies, many institutions are still searching for solutions for this matter.

Methodology

A …

Setting The Pace: Examining Cognitive Processing In Mooc Discussion Forums With Automatic Text Analysis, Robert L. Moore, Kevin M. Oliver, Chuang Wang

STEMPS Faculty Publications

Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can create challenges for understanding and adequately describing student behaviors. Utilizing automatic text analysis, this study built a hierarchical linear model that examines the influence of the pacing condition of a massive open online course (MOOC), whether it is self-paced or instructor-paced, on the demonstration of cognitive processing in a …

The Role Of Data Analytics In Education: Possibilities & Limitations, Robert L. Moore

STEMPS Faculty Publications

In the last decade, we have seen dramatic increases in the integration of technology within education. It has now become commonplace for K-5 educators to apply learning management systems (LMS) in ways that were previously only seen in higher education contexts. Similarly, on the higher education side, we are seeing a significant increase in online learning evidenced by the growing number of for-profit online colleges and universities (Picciano, 2012). This chapter utilizes Khan’s Learning Framework (Khan, 2001, 2005) to explore the role data analytics can play in education by looking at the possibilities and limitations of analytics.