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On the Utility of E‐Learning in Statistics
Author(s) -
Härdle Wolfgang,
Klinke Sigbert,
Ziegenhagen Uwe
Publication year - 2007
Publication title -
international statistical review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.051
H-Index - 54
eISSN - 1751-5823
pISSN - 0306-7734
DOI - 10.1111/j.1751-5823.2007.00026.x
Subject(s) - computer science , animation , value (mathematics) , work (physics) , data science , mathematics education , machine learning , mathematics , engineering , mechanical engineering , computer graphics (images)
Summary Students of introductory courses consider statistics as particularly difficult, as the understanding of the underlying concepts may require more time and energy than for other disciplines. For decades statisticians have tried to enhance understanding with the help of technical solutions such as animation, video or interactive tools. However, it is not clear if the added value generated by these e‐learning tools justifies the work invested. In this paper the experience with various e‐learning solutions in terms of utility and the impact on teaching is discussed.