Christoph Sonnenberg

Process mining techniques for analysing patterns and strategies in students’ self-regulated learning

P. Reimann, M. Bannert, Christoph Sonnenberg, 2013, Metacognition and Learning.

Process mining techniques for analysing patterns and strategies in students’ self-regulated learning

P. Reimann, M. Bannert, Christoph Sonnenberg, 2013, Metacognition and Learning.

Short- and long-term effects of students' self-directed metacognitive prompts on navigation behavior and learning performance

Maria Bannert, Christoph Sonnenberg, Christoph Mengelkamp, 2015, Comput. Hum. Behav..

Using Process Mining to examine the sustainability of instructional support: How stable are the effects of metacognitive prompting on self-regulatory behavior?

Maria Bannert, Christoph Sonnenberg, M. Bannert, 2019, Comput. Hum. Behav..

Evaluating the Impact of Instructional Support Using Data Mining and Process Mining: A Micro-Level Analysis of the Effectiveness of Metacognitive Prompts.

Maria Bannert, Christoph Sonnenberg, M. Bannert, 2016, EDM 2016.

Discovering the Effects of Metacognitive Prompts on the Sequential Structure of SRL-Processes Using Process Mining Techniques

Maria Bannert, Christoph Sonnenberg, M. Bannert, 2015, J. Learn. Anal..

Analyzing Technology-Enhanced Learning Processes: What Can Process Mining Techniques Contribute to the Evaluation of Instructional Support? (Eine Analyse technologieunterstützter Lernprozesse: Welchen Beitrag kann Process Mining für die Bewertung instruktionaler Hilfe leisten?)

Christoph Sonnenberg, 2017 .