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TH E R I SE PR OJE C T -
PU TTI N G L E AR N I N G AN AL Y TI C S I N TH E
SE R V I C E OF TE AC H I N G AN D L E AR N I N G
G AI N S
2 3 r d J u n e 2 0 1 7
L a r a i n e d ’ A n t i n
HEFCE Catalyst Fund bid
Innovations in Learning and Teaching, addressing barriers to student success
To undertake research into how learning analytics could
be used to enhance pedagogy and foster learning gains.
2
RISE - RICH INFORMATION SETS FOR EDUCATORS
T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7
3
• Aims of the project;
• Enhance student participation in academic activities by innovative use of learner
analytics, leading to improvements in student learning, progression, self-reflection and
achievement;
• Enhancing course teams’ capabilities with Learning Analytics so that they adapt their
teaching strategies;
• Developing responsive and user-friendly analytics, which will enable staff and students
to have access to more educational benefits; and,
• Conducting research on design and use of analytics on a number of undergraduate
courses, evaluating proof of concept and ‘what works’ so that refinements may be
made, for potential scaling up at Solent.
Rich Information Sets for Educators
RISE
T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7
 Create a dashboard containing rich information set of
learning analytics
 Build capability with course teams in exemplifying
best use of learning analytics through a series of
course-level meetings and workshops.
 develop user-friendly ‘talking head’ films and
resources which demonstrate benefits of LA,
providing staff and student narratives of experience.
4
RISE - RICH INFORMATION SETS FOR EDUCATORS
T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7
T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7 5
LEARNING ANALYTICS
“learning analytics is the measurement,
collection, analysis and reporting of data
about learners and their contexts, for
purposes of understanding and optimising
learning and the environments in which it
occurs”
SoLAR – Society for Learning Analytics Research
L E A R N I N G A N A L Y T I C S
• Reduce non-continuation rates
• Early indicators for disengagement
• Support students to achieve their full potential
• Students ‘time-on-task’ in engaging with academic
tasks contributes to learning and achievement
(Chickering and Gamson 1987; Arum and Roksa
2011)
T h e 2 0 1 5 S t u d e n t A c a d e m i c E x p e r i e n c e
S u r v e y s h o w e d t h a t :
“ S t u d e n t s a l s o r e c o g n i s e t h a t t h e i r o w n
e n g a g e m e n t i s c r u c i a l t o t h e i r a c a d e m i c
s u c c e s s :
a s l a s t y e a r ,
t h e n u m b e r o n e r e a s o n g i v e n b y
s t u d e n t s a s t o w h y t h e i r e x p e r i e n c e h a s
n o t l i v e d u p t o t h e i r e x p e c t a t i o n s i s
t h a t t h e y h a v e n o t p u t i n e n o u g h e f f o r t
t h e m s e l v e s ” .
7
E A R L Y S T U D E N T
A D O P T I O N
• Important to bring students on-board
at the earliest stages.
• Partnership
• Allows students to become active
partners in managing their own
learning.
Analytics users must have an
understanding of the
pedagogical context in which
the data was generated.
8
• I d e n t i f y C o u r s e s
• S t u d e n t w o r k s h o p s
• C r e a t i o n o f d a s h b o a r d
• S t a f f w o r k s h o p s
• S e p t e m b e r s t a f f a n d s t u d e n t
i n t r o d u c t i o n s e s s i o n s
• S t u d e n t t i m e - o n - t a s k d i a r i e s
• D e v e l o p f i l m s & r e s o u r c e s
• F e e d i n g i n t o t h e m a i n
u n i v e r s i t y p r o g r a m m e
H O W W I L L T H E P R O J E C T
B E I M P L E M E N T E D ?
DATA
9
1 0
E X A M P L E O F S T U D E N T D E S I G N E D L E A R N I N G A N A L Y T I C S
D A S H B O A R D
• Staff workshop to take
place on:
• Thursday 29th June 2017
• The Spark – TS007
Staff Workshops
NEXT PHASE
SLTCC2017 The rise project: Putting learning analytics in the service of teaching and learning gains (Laraine d'Antin)

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SLTCC2017 The rise project: Putting learning analytics in the service of teaching and learning gains (Laraine d'Antin)

  • 1. TH E R I SE PR OJE C T - PU TTI N G L E AR N I N G AN AL Y TI C S I N TH E SE R V I C E OF TE AC H I N G AN D L E AR N I N G G AI N S 2 3 r d J u n e 2 0 1 7 L a r a i n e d ’ A n t i n
  • 2. HEFCE Catalyst Fund bid Innovations in Learning and Teaching, addressing barriers to student success To undertake research into how learning analytics could be used to enhance pedagogy and foster learning gains. 2 RISE - RICH INFORMATION SETS FOR EDUCATORS T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7
  • 3. 3 • Aims of the project; • Enhance student participation in academic activities by innovative use of learner analytics, leading to improvements in student learning, progression, self-reflection and achievement; • Enhancing course teams’ capabilities with Learning Analytics so that they adapt their teaching strategies; • Developing responsive and user-friendly analytics, which will enable staff and students to have access to more educational benefits; and, • Conducting research on design and use of analytics on a number of undergraduate courses, evaluating proof of concept and ‘what works’ so that refinements may be made, for potential scaling up at Solent. Rich Information Sets for Educators RISE T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7
  • 4.  Create a dashboard containing rich information set of learning analytics  Build capability with course teams in exemplifying best use of learning analytics through a series of course-level meetings and workshops.  develop user-friendly ‘talking head’ films and resources which demonstrate benefits of LA, providing staff and student narratives of experience. 4 RISE - RICH INFORMATION SETS FOR EDUCATORS T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7
  • 5. T h e R I S E P r o j e c t – S L T C C J u n e 2 3 r d 2 0 1 7 5 LEARNING ANALYTICS “learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs” SoLAR – Society for Learning Analytics Research
  • 6. L E A R N I N G A N A L Y T I C S • Reduce non-continuation rates • Early indicators for disengagement • Support students to achieve their full potential • Students ‘time-on-task’ in engaging with academic tasks contributes to learning and achievement (Chickering and Gamson 1987; Arum and Roksa 2011) T h e 2 0 1 5 S t u d e n t A c a d e m i c E x p e r i e n c e S u r v e y s h o w e d t h a t : “ S t u d e n t s a l s o r e c o g n i s e t h a t t h e i r o w n e n g a g e m e n t i s c r u c i a l t o t h e i r a c a d e m i c s u c c e s s : a s l a s t y e a r , t h e n u m b e r o n e r e a s o n g i v e n b y s t u d e n t s a s t o w h y t h e i r e x p e r i e n c e h a s n o t l i v e d u p t o t h e i r e x p e c t a t i o n s i s t h a t t h e y h a v e n o t p u t i n e n o u g h e f f o r t t h e m s e l v e s ” .
  • 7. 7 E A R L Y S T U D E N T A D O P T I O N • Important to bring students on-board at the earliest stages. • Partnership • Allows students to become active partners in managing their own learning. Analytics users must have an understanding of the pedagogical context in which the data was generated.
  • 8. 8 • I d e n t i f y C o u r s e s • S t u d e n t w o r k s h o p s • C r e a t i o n o f d a s h b o a r d • S t a f f w o r k s h o p s • S e p t e m b e r s t a f f a n d s t u d e n t i n t r o d u c t i o n s e s s i o n s • S t u d e n t t i m e - o n - t a s k d i a r i e s • D e v e l o p f i l m s & r e s o u r c e s • F e e d i n g i n t o t h e m a i n u n i v e r s i t y p r o g r a m m e H O W W I L L T H E P R O J E C T B E I M P L E M E N T E D ?
  • 10. 1 0
  • 11. E X A M P L E O F S T U D E N T D E S I G N E D L E A R N I N G A N A L Y T I C S D A S H B O A R D
  • 12. • Staff workshop to take place on: • Thursday 29th June 2017 • The Spark – TS007 Staff Workshops NEXT PHASE