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Sergey Sosnovsky, Saarland University / DFKI
WP3: Building up New
Capacities in Russian
Universities
10/03/2016, Nizhny Novgorod, Russia
WP3 Goal
• Equip	partner	universities	in	Russia	with	technical,	
methodological	and	practical	capacities	to	use	
modern	EU	ICT	for	math	education,…	
• …in	particular,	the	Intelligent	Web-based	
Platform	for	math	courses	“Math-Bridge”
WP3 Motivation:

Progress in Intelligent Adaptive e-Learning Systems
• Can	maintain	personalized	online	learning	experience	by	
• tracking	students’	progress,	
• understanding	their	strengths	and	weaknesses	
• providing	individualized	instruction	
• Can	serve	as	economically-effective	alternatives/assistants	to	a	human	teacher	in	
a	range	of	learning	scenarios	
• Can	implement	various	adaptation	techniques:	
• Intelligent	problem	solving	support	
• Adaptive	Sequencing	and	Course	Generation	
• Adaptive	Navigation	
• Adaptive	Presentation	
• Adaptive	Recommendation	
• Adaptive	Testing	
• etc.
WP3 Motivation:

Known Effects of Intelligent Adaptive e-Learning Systems
• Intelligent	Tutoring	Systems	are	known	to	increase:	
• speed	of	learning	
• test	scores	and	knowledge	retention	
• knowledge	transfer	
• Adaptive	Hypermedia	Systems	and	Open	Student	
Modeling	are	known	to	improve:	
• student	motivation	
• self-regulated	learning	
• navigation	within	learning	material
WP3 Motivation:

US/EU Investments in Modern Educational Technologies
• From	2007	to	2012,	within	FP7	invested	211	mil.	only	
directly	through	TEL-related	calls	+	programs	of	EACEA	
agency	(Tempus,	LLLP,	etc.)		+	national	funding	
• US	only	in	2012	invested	$830	mil.	in	new	technologies	
for	Education	and	Human	Resources.	Special	focus	is	paid	
to	STEM	education.	
• Joint	NSF	/	NIH	program	Cyberinfrastructure	
Framework	for	21st	Century	Science,	Engineering,	and	
Education	($155)	
• CMU’s	Simon	Initiative	on	Exploring	Human	Learning	
with	Technology
Adaptive e-Learning with Math-Bridge
WP3 Tasks
• Technical	capacity	building	
• Training	of	teachers	and	technicians	to	use	and	support	
Math-Bridge	Platform	
• Localisation	and	Installation	of	the	Math-Bridge	Platform	
• Development	of	new	and	adoption	of	existing	learning	
material	for	modernised	courses
WP3: Technical capacity building
• Each	RU	university	equipped	a	computer	class	for	
students	using	Math-Bridge	
• Installed	Math-Bridge	on	dedicated	local	severs	
• Provided	teachers	with	computers	necessary	to	create	
content	in	Math-Bridge	
• Alltogether,	about	150	computers	have	been	purchased	
or	co-financed	within	the	framework	of	MetaMath
WP3: Math-Bridge Training
• Saarbrücken,	

06.07.2015-10.07.2015	
• 4	large	groups	of	topics:	
• Learning	with	Math-Bridge	
• Teaching	with	Math-Bridge	
• Authoring	for	Math-Bridge	
• Math-Bridge	Administration
WP3: Localisation and Installation of Math-Bridge
WP3: Math-Bridge Authoring Tools
WP3: Math-Bridge Authoring Tools
• Complete	authoring	cycle:	from	individual	
learning	objects	to	their	collections,	to	course	and	
test	assembly	to	publishing	for	students	
• Static	and	Interactive	learning	objects	
• Generation	and	parameterisation	of	exercises	
• Design	of	training	exercises	with	advanced	
feedback		
• Provision	of	metadata	
• etc.
WP3 Capacity Building

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WP3 Capacity Building

  • 1. Sergey Sosnovsky, Saarland University / DFKI WP3: Building up New Capacities in Russian Universities 10/03/2016, Nizhny Novgorod, Russia
  • 3. WP3 Motivation:
 Progress in Intelligent Adaptive e-Learning Systems • Can maintain personalized online learning experience by • tracking students’ progress, • understanding their strengths and weaknesses • providing individualized instruction • Can serve as economically-effective alternatives/assistants to a human teacher in a range of learning scenarios • Can implement various adaptation techniques: • Intelligent problem solving support • Adaptive Sequencing and Course Generation • Adaptive Navigation • Adaptive Presentation • Adaptive Recommendation • Adaptive Testing • etc.
  • 4. WP3 Motivation:
 Known Effects of Intelligent Adaptive e-Learning Systems • Intelligent Tutoring Systems are known to increase: • speed of learning • test scores and knowledge retention • knowledge transfer • Adaptive Hypermedia Systems and Open Student Modeling are known to improve: • student motivation • self-regulated learning • navigation within learning material
  • 5. WP3 Motivation:
 US/EU Investments in Modern Educational Technologies • From 2007 to 2012, within FP7 invested 211 mil. only directly through TEL-related calls + programs of EACEA agency (Tempus, LLLP, etc.) + national funding • US only in 2012 invested $830 mil. in new technologies for Education and Human Resources. Special focus is paid to STEM education. • Joint NSF / NIH program Cyberinfrastructure Framework for 21st Century Science, Engineering, and Education ($155) • CMU’s Simon Initiative on Exploring Human Learning with Technology
  • 7. WP3 Tasks • Technical capacity building • Training of teachers and technicians to use and support Math-Bridge Platform • Localisation and Installation of the Math-Bridge Platform • Development of new and adoption of existing learning material for modernised courses
  • 8. WP3: Technical capacity building • Each RU university equipped a computer class for students using Math-Bridge • Installed Math-Bridge on dedicated local severs • Provided teachers with computers necessary to create content in Math-Bridge • Alltogether, about 150 computers have been purchased or co-financed within the framework of MetaMath
  • 9. WP3: Math-Bridge Training • Saarbrücken, 
 06.07.2015-10.07.2015 • 4 large groups of topics: • Learning with Math-Bridge • Teaching with Math-Bridge • Authoring for Math-Bridge • Math-Bridge Administration
  • 10. WP3: Localisation and Installation of Math-Bridge
  • 12. WP3: Math-Bridge Authoring Tools • Complete authoring cycle: from individual learning objects to their collections, to course and test assembly to publishing for students • Static and Interactive learning objects • Generation and parameterisation of exercises • Design of training exercises with advanced feedback • Provision of metadata • etc.