Presentation	2014-06-14 Basic Design of Statistics Learning System for Non-Science Majors as a Complement of Large Classes Katsumi YOSHINE,
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Abstract(in English)	There is a growing tendency for taking advantage of so-called big data or open data in business. Therefore, understanding of statistics is required by many people. In New Course of Study, K-12 statistical education was enhanced. However, the goal of statistics education depends on the subject. Non-Science Majors requires the ability to read the statistical data accurately than the knowledge of the statistical theory. In this paper, we consider the requirements for the implementation of statistics learning system for non-science majors as a complement of large classes.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Statistics Education / Data Interpretation / Non-Science Majors
Paper #	ET2014-11
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Conference Information
Committee	ET
Conference Date	2014/6/7(1days)
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Paper Information
Registration To	Educational Technology (ET)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Basic Design of Statistics Learning System for Non-Science Majors as a Complement of Large Classes
Sub Title (in English)
Keyword(1)	Statistics Education
Keyword(2)	Data Interpretation
Keyword(3)	Non-Science Majors
1st Author's Name	Katsumi YOSHINE
1st Author's Affiliation	Faculty of Economics, Nanzan University()
Date	2014-06-14
Paper #	ET2014-11
Volume (vol)	vol.114
Number (no)	82
Page	pp.pp.-
#Pages	4
Date of Issue