Journal of Applied Research in Higher Education: Volume 12 Issue 1

Supporting higher education students through analytics systems

Dirk Ifenthaler

Dual perspectives on learning analytics in higher education

Andrea Harkins Parrish, Laila J. Richman

In higher education, the authors serve multiple stakeholders with varying perspectives on the institution’s learning analytic system. The purpose of this paper is to highlight…

Four design principles for learner dashboards that support student agency and empowerment

Liz Bennett, Sue Folley

The purpose of this paper is to take a student-centred perspective to understanding the range of ways that students respond to receiving information about their learning…

Leveraging learning analytics for student reflection and course evaluation

Devrim Ozdemir, Heather M. Opseth, Holland Taylor

The purpose of this paper is to demonstrate a process of faculty utilization of learning analytics by evaluating students’ course objective achievement results to enable student…

Engaging online students through peer-comparison progress dashboards

Paula Smith

Students studying exclusively online face the challenge of gauging their progress in relation to that of their disparate peers. The purpose of this paper is to describe the…

Framework to support personalized learning in complex systems

Aklilu Tilahun Tadesse, Pål Ingebrigt Davidsen

Numerous studies document that students struggle to comprehend complex dynamic systems (CDS). The purpose of this paper is to describe a design framework applied to the creation…

What do first-year students need? Digital badges for academic support to enhance student retention

Dana-Kristin Mah, Dirk Ifenthaler

The purpose of this paper is to analyse data on first-year students’ needs regarding academic support services and reasons for their intention to leave the institution prior to…

Enrollment patterns and students’ risk of academic difficulty

Robert Matthew DeMonbrun, Michael Brown, Stephanie D. Teasley

Experiencing academic difficulty can deter students’ academic momentum, decreasing the speed with which they complete coursework and increasing the odds that they will not persist…

Making good suggestions in analytics-based early alert systems: Shaping minds and changing behaviours

Dennis Foung

The purpose of this paper is to answer the following questions: On which early alert system suggestions are students more likely to act? What factors drive students’ decisions to…

Drop-out in programming courses – prediction and prevention

Anja Hawlitschek, Veit Köppen, André Dietrich, Sebastian Zug

An ideal learning analytics tool for programming exercises performs the role of a lecturer who monitors the code development, provides customized support and identifies students…