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2020 – today
- 2023
[c5]Jens Klenke, Till Massing, Natalie Reckmann, Janine Langerbein, Benjamin Otto, Michael Goedicke, Christoph Hanck:
Effects of Early Warning Emails on Student Performance. CSEDU (1) 2023: 225-232- [c4]Janine Langebein, Till Massing, Jens Klenke, Michael Striewe, Michael Goedicke, Christoph Hanck, Natalie Reckmann:
A Data Mining Approach for Detecting Collusion in Unproctored Online Exams. EDM 2023 - [i4]Janine Langerbein, Till Massing, Jens Klenke, Natalie Reckmann, Michael Striewe, Michael Goedicke, Christoph Hanck:
A Data Mining Approach for Detecting Collusion in Unproctored Online Exams. CoRR abs/2302.07014 (2023) - 2021
- [j2]Till Massing
:
Clustering Using Student t Mixture Copulas. SN Comput. Sci. 2(2): 97 (2021) - [i3]Till Massing, Natalie Reckmann, Jens Klenke, Benjamin Otto, Christoph Hanck, Michael Goedicke:
Effects of Early Warning Emails on Student Performance. CoRR abs/2102.08803 (2021)
2010 – 2019
- 2019
- [c3]Till Massing, Natalie Reckmann, Benjamin Otto, Alexander Blasberg, Christoph Hanck, Michael Goedicke:
Quantitative Methodenkompetenzen im Praxissemester in Lehramtsstudiengängen. DeLFI 2019: 327-328 - [i2]Till Massing, Natalie Reckmann, Alexander Blasberg, Benjamin Otto, Christoph Hanck, Michael Goedicke:
When is the best time to learn? - Evidence from an introductory statistics course. CoRR abs/1906.09864 (2019) - 2018
- [j1]Till Massing:
Simulation of Student-Lévy processes using series representations. Comput. Stat. 33(4): 1649-1685 (2018) - [c2]Till Massing, Natalie Reckmann, Benjamin Otto, Kim J. Hermann, Christoph Hanck, Michael Goedicke:
Klausurprognose mit Hilfe von E-Assessment-Nutzerdaten. DeLFI 2018: 171-176 - [i1]Nils Schwinning, Michael Striewe, Till Massing, Christoph Hanck, Michael Goedicke:
Towards digitalisation of summative and formative assessments in academic teaching of statistics. CoRR abs/1811.02391 (2018) - 2017
- [c1]Benjamin Otto, Till Massing, Nils Schwinning, Natalie Reckmann, Alexander Blasberg, Sandy Schumann, Christoph Hanck, Michael Goedicke:
Evaluation einer Statistiklehrveranstaltung mit dem JACK R-Modul. DeLFI 2017: 75-86
Coauthor Index
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