Evaluating the impact of instructional support using data mining and process mining: A micro-level analysis of the effectiveness of metacognitive prompts

Christoph Sonnenberg; Maria Bannert

Evaluating the impact of instructional support using data mining and process mining: A micro-level analysis of the effectiveness of metacognitive prompts

Christoph Sonnenberg
, Maria Bannert

Technical University of Munich

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Pages (from-to)	S. 51-83
Journal	Journal of Educational Data Mining
Volume	8
Issue number	2
State	Published - 2016

Cite this

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title = "Evaluating the impact of instructional support using data mining and process mining: A micro-level analysis of the effectiveness of metacognitive prompts",

author = "Christoph Sonnenberg and Maria Bannert",

year = "2016",

language = "Undefined/Unknown",

volume = "8",

pages = "S. 51--83",

journal = "Journal of Educational Data Mining",

issn = "2157-2100",

publisher = "International Educational Data Mining Society",

number = "2",

}

TY - JOUR

T1 - Evaluating the impact of instructional support using data mining and process mining: A micro-level analysis of the effectiveness of metacognitive prompts

AU - Sonnenberg, Christoph

AU - Bannert, Maria

PY - 2016

Y1 - 2016

M3 - Article

SN - 2157-2100

VL - 8

SP - S. 51-83

JO - Journal of Educational Data Mining

JF - Journal of Educational Data Mining

IS - 2

ER -