How Experimental Data Can Optimize E-learning

Camilla Nellemann; Torben Pedersen

doi:10.4337/9781839100161.00019

How Experimental Data Can Optimize E-learning

Camilla Nellemann
, Torben Pedersen

Department of Strategy and Innovation

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Original language	English
Title of host publication	Big Data in Small Business : Data-driven Growth in Small and Medium-sized Enterprises
Editors	Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter, Torsten Ringberg
Number of pages	10
Place of Publication	Cheltenham
Publisher	Edward Elgar Publishing
Publication date	2021
Pages	163-172
Chapter	9
ISBN (Print)	9781839100154
ISBN (Electronic)	9781839100161
DOIs	https://doi.org/10.4337/9781839100161.00019
Publication status	Published - 2021

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title = "How Experimental Data Can Optimize E-learning",

author = "Camilla Nellemann and Torben Pedersen",

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language = "English",

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pages = "163--172",

editor = "\{Lund Pedersen\}, \{Carsten \} and Adam Lindgreen and Ritter, \{Thomas \} and Torsten Ringberg",

booktitle = "Big Data in Small Business",

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How Experimental Data Can Optimize E-learning. / Nellemann, Camilla; Pedersen, Torben.
Big Data in Small Business: Data-driven Growth in Small and Medium-sized Enterprises. ed. / Carsten Lund Pedersen; Adam Lindgreen; Thomas Ritter; Torsten Ringberg. Cheltenham: Edward Elgar Publishing, 2021. p. 163-172.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

TY - CHAP

T1 - How Experimental Data Can Optimize E-learning

AU - Nellemann, Camilla

AU - Pedersen, Torben

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DO - 10.4337/9781839100161.00019

M3 - Book chapter

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BT - Big Data in Small Business

A2 - Lund Pedersen, Carsten

A2 - Lindgreen, Adam

A2 - Ritter, Thomas

A2 - Ringberg, Torsten

PB - Edward Elgar Publishing

CY - Cheltenham

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