TY  - JOUR
A1  - Tillmann, Alexander
A1  - Krömker, Detlef
A1  - Horn, Florian
A1  - Gattinger, Thorsten
T1  - Analysing & Predicting Students Performance in an Introductory Computer Science Course
JF  - Commentarii informaticae didacticae
N2  - Students of computer science studies enter university education with very different competencies, experience and knowledge. 145 datasets collected of freshmen computer science students by learning management systems in relation to exam outcomes and learning dispositions data (e. g. student dispositions, previous experiences and attitudes measured through self-reported surveys) has been exploited to identify indicators as predictors of academic success and hence make effective interventions to deal with an extremely heterogeneous group of students.
KW  - Blended learning
KW  - heterogeneity
KW  - Learning analytics
KW  - Learning dispositions
KW  - Dispositional learning analytics
KW  - Formative assessment
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-416307
IS  - 12
SP  - 29
EP  - 45
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  - 
TY  - JOUR
A1  - Mah, Dana-Kristin
A1  - Ifenthaler, Dirk
T1  - What do first-year students need?
BT  - digital badges for academic support to enhance student retention
JF  - Journal of applied research in higher education
N2  - 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 degree completion. On the basis of the findings, a digital badge outline is proposed which could contribute to improved communication of academic requirements in order to help students to better adapt to higher education demands. Digital badges might also serve as an indicator for students’ needing additional academic support services.
KW  - Higher education
KW  - Retention
KW  - Learning analytics
KW  - First-year students
Y1  - 2019
U6  - https://doi.org/10.1108/JARHE-12-2018-0258
SN  - 2050-7003
SN  - 1758-1184
VL  - 12
IS  - 1
SP  - 86
EP  - 96
PB  - Emerald Group Publishing Limited
CY  - Bingley
ER  - 
TY  - JOUR
A1  - Mah, Dana-Kristin
T1  - Learning Analytics and Digital Badges: Potential Impact on Student Retention in Higher Education
JF  - Technology, Knowledge and Learning
KW  - Learning analytics
KW  - Digital badges
KW  - Student retention
KW  - Generic skills
KW  - Academic competencies
Y1  - 2016
U6  - https://doi.org/10.1007/s10758-016-9286-8
SN  - 2211-1662
SN  - 2211-1670
VL  - 21
SP  - 285
EP  - 305
PB  - Springer
CY  - Dordrecht
ER  -