Page 11 - R_EdQuire White Paper Nov 2017 v3.4
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EdQuire White Paper: Computer	learning	behaviour	in	K-12
                                                                                                    Nov 2017 V3.4
                                                                                                     Page 11 of 15
               Google	searches	dwarfed	that	of	competitors	with	100%	of	students	using	Google,	and	only	a	minority	ever
               using	Bing	(8%)	or	Yahoo	(5%)	(Figure	8	Left).	Of	all	searches,	Google	accounted	for	99.5	and	less	than	3%	of
               searches	utilised	any	search	tools.

                                                           Internet	     Proportion
                                                           search	engine	  of	usage

                                                           Google	       99.5%
                                                           Bing	         0.43%

                                                           Yahoo	        0.04%

                                                           wolframalpha	  0.01%

               Figure	8.	Proportion	of	students	using	a	specific	search	engine	(left),	proportion	of	searches	using	specific
               search	engine	(middle),	proportion	of	searches	using	search	tools	(right).

               The	dominance	of	Google	does	not	surprise	considering	Google	has	been	genericized	to	mean	internet
               search.	It	is	of	note,	however	that	vast	majority	of	students	have	never	used	any	other	search	engine.	Only
               2.9%	of	searches	used	search	tools,	and	even	this	may	be	an	overestimate	because	we	did	distinguish
               unintended	use	of	tools,	such	as	‘+’	in	typed	in	equations	or	‘and’	in	a	sentence.	This	minimal	use	of	search
               engine	tools	may	be	a	reflection	of	lack	of	skills,	but	could	also	be	due	to	either	intuitive	responses	from
               search	engines	not	requiring	the	use	of	such	tools	or	a	preference	for	iterative	use	of	searches	to	create	a
               trail	converging	on	the	answer	rather	than	constructing	a	single	complex	search.	There	is	a	suggestion	by
               White	&	Huang	(2010)	that	such	an	iterative	journey	of	discovery	may	itself	be	beneficial	to	learning	by
               providing	context	to	the	searched	for	information.	Much	needed	assessments	of	information	literacy	will	be
               derived	from	further	analysis	of	our	search	data	–	using	natural	language,	search	trails	and	the	quality	of
               information	finally	selected	by	students.

               2.9	Effect	of	data	on	Self-regulation

               In	order	to	assess	the	self-regulatory	effect	of	real-time	formative	feedback	of	computer	usage	to	students,
               we	gave	students	in	School	1	access	to	their	edQuire	data	for	a	period	of	10	days	and	compared	that
               computer	use	data	to	a	preceding	10	day	control	period	in	a	longitudinal	study	design.

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