Archive for the ‘Analytics’ Category

An Instructor Learning Analytics Implementation Model

With the widespread use of learning analytics tools, there is a need to explore how these technologies can be used to enhance teaching and learning. Little research has been conducted on what human processes are necessary to facilitate meaningful adoption of learning analytics. The research problem is that there is a lack of evidence-based guidance […]

Using Learning Analytics for Preserving Academic Integrity

This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students’ patterns of language use from data, providing an accessible and non-invasive validation of student […]

An Approach to Scoring Collaboration in Online Game Environments

 With technological advances, it is now possible to use games to capture information-rich behaviours that reveal processes by which players interact and solve problems. Recent problem-based games have been designed to assess and record detailed interactions between the problem solver and the game environment, and thereby capture salient solution processes in an unobtrusive way (Zoanetti, 2010; Bennett et […]

The Spectrum of Learning Analytics

“Learning Analytics” became a buzzword during the hype surrounding the advent of “big data” MOOCs, however, the concept has been around for over two decades. When the first online courses became available it was used as a tool to increase student success in particular courses, frequently combined with the hope of conducting educational research. In […]

Educators Tap Into Data, The Simon Initiative, Carnegie Mellon University

LearnLab Director Ken Koedinger noticed his lab’s summer school was different from years past. Interests spiked in creating online courses and interpreting the data collected by digital tools to provide evidence that students are learning. Carnegie Mellon University

Dropout Rates, Student Momentum, and Course Walls: A New Tool for Distance Education Designers

This paper explores a new tool for instructional designers. By calculating and graphing the Student Momentum Indicator (M) for 196 university-level online courses and by employing the constant comparative method within the grounded theory framework, eight distinct graph shapes emerged as meaningful categories of dropout behavior. Several of the graph shapes identified Course Walls, that […]

Southern New Hampshire University Selects D2L’s Brightspace as Its New Learning Management System

SNHU will implement Brightspace to modernize and personalize learning and provide a better student experience

Oklahoma City Community College and Blackboard Partner to Drive Student Success Through Predictive Analytics

WASHINGTON, D.C., August 3, 2017 — Oklahoma City Community College (OCCC) and Blackboard Inc. today announced an expansion of their 10-year partnership. This new phase of collaboration is designed to close achievement gaps and increase the number of students who complete a certificate or degree. Beginning in Spring 2018, the college will implement Blackboard Predict, […]

Adobe Transforms Personalization With Artificial Intelligence

SAN JOSE, Calif.–(BUSINESS WIRE)–Today’s most successful brands already use data science to personalize experiences and address customer needs. Brands are increasingly building internal statistical models and algorithms to tailor experiences and yet most are not fully leveraging artificial intelligence (AI) technology. Adobe

Going All In on Personalized Learning

National University is working to create a personalized education platform that combines three of the buzziest innovations in higher education — adaptive learning, competency-based learning and predictive analytics for student retention. Inside Higher Ed