Learning Analytics and Digital Badges: Potential Impact on Student Retention in Higher Education

Abstract

Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30 % in Organisation for Economic Cooperation and Development member countries. This integrative review provides an overview of the theoretical literature as well as current practices and experience with learning analytics and digital badges in higher education with regard to their potential impact on student retention to enhance students' first-year experience. Learning analytics involves measuring and analyzing dynamic student data in order to gain insight into students' learning processes and optimize learning and teaching. One purpose of learning analytics is to construct predictive models to identify students who risk failing a course and thus are more likely to drop out of higher education. Personalized feedback provides students with information about academic support services, helping them to improve their skills and therefore be successful in higher education. Digital badges are symbols for certifying knowledge, skills, and competencies on web-based platforms. The intention is to encourage student persistence by motivating them, recognizing their generic skills, signaling their achievements, and capturing their learning paths. This article proposes a model that synthesizes learning analytics, digital badges, and generic skills such as academic competencies. The main idea is that generic skills can be represented as digital badges, which can be used for learning analytics algorithms to predict student success and to provide students with personalized feedback for improvement. Moreover, this model may serve as a platform for discussion and further research on learning analytics and digital badges to increase student retention in higher education.

The Influence of Virtual Learning Environments in Students' Performance

“…According to Mah [15], student retention is an important issue for higher education institutions as withdrawals from higher education prior to degree completion remain at about 30% in the member countries of the Organisation for Economic Cooperation and Development.…”

Learning Analytics in 21st century education: a review

“…Examples of the above were found in (BARMAKI; HUGHES, 2015; FULANTELLI; TAIBI; ARRIGO, 2014;KIM, 2012;MAH, 2016;RIENTIES;TOETENEL, 2016). In that sense, it is noteworthy that only a very small fraction of the literature (2%) addresses analysis of data produced by the student and his relationship with the family, except for homeschooling experiences.…”

Instilling purpose and value in the implementation of digital badges in higher education

“…The intent was to identify challenges and solutions in badge system implementation so that others can learn from the experiences of badge users from three higher education institutions. As more higher education institutions explore the adoption of digital badging in coursework (Abramovich, 2016;Berge & Muilenburg, 2016;Cheng, Watson, & Newby, 2018;Mah, 2016), it is important for educators to be aware of and able to address constraints that may impact implementation (Carey, 2018).…”

“…If a badge program is designed to support programmatic needs and has more benefits for the instructors than the students, perhaps the consideration of including metadata in order to increase external value would be beneficial to students (Casilli & Hickey, 2016;Dyjur & Lindstrom, 2017;Mah, 2016). Of course, for students to understand the value, potential use must be explained to them.…”