People who exhibit a high degree of self-regulation use different learning strategies in MOOCs compared to those with low self-regulation. Those with high self-regulation tend to be active learners who set clear goals and adapt them as needed. They are more likely to actively participate and contribute. Those with low self-regulation tend towards more passive learning and behaviors like lurking. Prior experience, confidence, and motivation also impact engagement in MOOCs.
APM Welcome, APM North West Network Conference, Synergies Across Sectors
Learning Strategies in MOOCs
1. How people learn in
Massive Open Online
Courses
University of London, November 2013
Allison Littlejohn
Director, Caledonian Academy
Chair of Learning Technology
www.gcu.ac.uk/academy
Collaborators:
Dr Colin Milligan, Dr Anoush Margaryan, Dr Pia Fontana, Lou McGill
Glasgow Caledonian University, UK
3. Questions
1
How do people learn in a cMOOC?
2
How do they self-regulate their
learning?
3
How might MOOC tools and
environments support self
regulation?
4. Scenario defined
Learning 4
Self-regulated Learning
Self-generated
thoughts, feelings and
actions that are
planned and cyclically
adapted to the
attainment of personal
learning goals.
Zimmermann
5. Scenario 4
Hypothesis
People who exhibit a high
degree of Self-Regulation
will use different
strategies to plan,
monitor and reflect on
their learning than
individuals who
exhibit low SRL
8. SRL: questionnaire
Principal component exploratory factor analysis highlighted 8
significant factors for SRL:
F1 occupational self-efficacy – belief in one’s ability/capacity to have some
control over/cope in their role.
F2 strategic planning - purposive personal processes and actions directed
at acquiring or displaying skill.
F3 goal-setting – use of goals a mechanism for planning and achieving
F4 task interest/value – disposition to focus on the task and its wider value
rather than merely the outcome (intrinsic motivation),
P1 elaboration – ability to relate task to wider practice.
P2 help-seeking –seeking help from others or info sources.
S1 self-satisfaction - motivation does not stem from goals, but on whether
individuals feel they are achieving them.
S2 self-evaluation- comparing performance against an external goal
9. SRL: questionnaire
Multiple linear regression analysis highlighted 3 main
factors influencing SRL:
• F4 task interest/value – ability to focus on the task and its wider value rather than
merely the outcome (intrinsic motivation),
• P1 elaboration – ability to relate task to wider practice.
• S2 self-evaluation- comparing performance against an external goal
10. Q How can universities encourage SRL?
• F Task value - ability to recognise the wider value of a
task rather than merely the outcome;
• P Task elaboration - ability to relate task to wider
practice;
• S Self-evaluation - ability to compare performance
against against external benchmarks
18. Scenario 4
Sensemaking & self-regulating
•task analysis
• goal setting
• self-instruction
• help-seeking
• self-monitoring
•self-judgement
•self-evaluation
Zimmerman, B. J. (2005). Attaining self-regulation: a social cognitive perspective. In
Boekaerts, M., Zeidner, M., and Pintrich, P.R (eds) Handbook of self-regulation, pp13-39.
Academic Press, San Diego, CA.
20. SRL: forethought
Participation: low level (eg ‘ ‘experience a MOOC’)
(20/ 26)
Network: sub- goal for participation
(7/ 26)
Performance: measurable and concerned
participation eg ‘blog once per week’.
(13/ 26)
Learning: three categories: (1) learning tools (2)
learning about specific topics (3) applying knowledge
back into practice. (10/24)
21. SRL: forethought
Learning to learn in a
MOOC
15/24 changed their
goals: most were new
to MOOCs
9/24 did not change
their goals: (8/9) had
studied on a MOOC
23. SRL: performance
Active learners who set goals & structure their
learning
Passive learners who expect others to provide
structure
Lurkers….
Drop-ins… (Hill & Milligan in Maturing of the MOOC)
25. SRL: performance
Active (12/29)
“Oh there’s some people who are everywhere you turn in the
Change 11 MOOC: there’s this group of people who are
inspirational, just phenomenal the way they just keep going
and they know their way around it.” (P08).
“You can read the comments of people who are participating
from different places and they give links to things that they are
doing or they think while you hear what is happening” (P20).
“I have no idea how scattered I am across this MOOC, I have
no idea how many contributions I’ve made, 30? 50? I’ve got a
lot of replies… I usually end a reply on an open end” (P05).
26. SRL: performance
Lurkers (13/29)
“I guess I tend to be a loner and I’ve done more lurking & I'm
quite happy lurking, I think it’s an honourable profession”(P21)
“Lurking is actually hugely beneficial [knowledge is filtered by
the course organisers and has] more value than something I
randomly come across on the Internet” (P18)
“I'm going out to the MOOC and lurking and getting lots of
great interesting ideas [to my] networks” (P01).
“I’m more or less like what do you call? A lurker and not very
active … I'm always invisible and the reason is that the way
I’ve been using the MOOC is to put into things that I'm
doing… to be a network mentor” (P17).
27. SRL: performance
Passive (4/29)
“Sure, I can read other people’s blogs and that’s not a
problem and I comment occasionally, but as far as really
putting my ideas out there in the open in my own blog to be
trampled on, you know there’s a bit of fear there I think that I
have and so that has been difficult for me” (P12).
”I'm not really sure how to find a group of people online who
really want to learn about what I most want to learn about.”
(P13).
29. Scenario 4
SRL: summary
Hypothesis: People with high SRL score use different
learning strategies in MOOCs
•
•
•
Those with high SRL scores tend towards being ACTIVE
Those with low SRL scores tend towards being
PASSIVE
Lurkers interspersed
Correlation between degree of Self-Regulation and learning
BUT not statistically valid. Now following up.
www.gcu.ac.uk/academy/srl-mooc/
30. Scenario 4
SRL: summary
Forethought
Learners with high SRL scores set clear goals & can
adapt these goals as learning pathways change.
Those with low SRL set vague (or no) goals.
Performance
Learners with high SRL scores & clear goals can adapt
these goals as learning pathways change.
Reflection
Learners with high SRL scores are more likely to reflect
on and adapt goals.
32. A way forward:understand learning behaviours
Professional
Learning in
MOOCs
Funded through
Gates MRI
edX/Harvard
Futurelearn/KC
http://www.gcu.ac.uk/academy/pl-mooc
33. A way forward: professional learning
Technology-enhanced
Professional Learning
Published by
Routledge
Oct 2013
Littlejohn &
Margaryan (Ed)
http://www.routledge.com/books/details/9780415854092/
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41. How people learn in
Massive Open Online
Courses
University of London, November 2013
Allison Littlejohn
Director, Caledonian Academy
Chair of Learning Technology
www.gcu.ac.uk/academy
Collaborators:
Dr Colin Milligan, Dr Anoush Margaryan ,Dr Pia Fontana, Lou McGill
Glasgow Caledonian University, UK
Notes de l'éditeur
The instrument is divided in three main sections: 1 a scale to measure learning opportunities provided by the workplace/role (Schalk & van Woerkom, 2009). Some roles afford more opportunities to learn than others, and therefore by including a measure of the opportunities for learning afforded by the workplace/role, we can normalise for this factor.2 a scale to measure learning activities undertaken (adapted from Raemdonck, Gijbels et al, 2012). Raemdonck and Gijbels argue that the learning activities undertaken (using definition not restricted to formal learning opportunities) by an individual provides a measure of the extent to which an employee has taken advantage of the learning opportunities available to them that is dependent on their self-directedness. We have used the same scale and hypothesis that this will be dependent on their SRL score for the workplace context (or 3 a scale to measure an SRL score for the current context; Using Zimmerman’s (2005) Social cognitive theory of SRL (with its three phases of forethought, performance and self-reflection) as a starting point, we have adapted several related SRL instruments to the workplace context.
People with a high SRL scores can better exploit learning opportunities Specific sub-components of self-regulation (for example a workers ability to rationalise what they need to learn, or have learned learning into the broader context of their role) seem to be key indicators of workers who seem to learn more effectively.
Multiple linear regression analysis was used to assess the ability of SRL components to predict the extent of learning activities actually undertaken by participants and to test the mediating role of SRL (and its sub-components) between the learning opportunities afforded by an individual’s role and the learning activities they undertake. As expected, the factor ‘learning opportunities at work’ is a predictor of learning activities explaining 24% of the variance of learning activities. SRL score and its individual components were tested in order to identify which components explain the major percentage of variance. For the mediation hypothesis proposed in this research, only three factors appear to mediate between learning opportunities at work and learning activities undertaken: factor F4: task interest, value, factor P1: elaboration, and Factor S2: self-evaluation.
... self-evaluation becomes the argument for learning/networking across organisations ... this is exactly where cisi can be useful.
Many goals set were vague, either because they related to low level participation, or were abstract (take ideas and apply them in my own work). Performance goals were by their nature more specific and measurable, largely focused on weekly events. The scope of goals varied – some were set at the sub-course level (largely performance goals), while participation goals were set at the course level, and most (though not all) learning goals were set at the beyond-course level (apply knowledge in own practice). Goals which were participation-focused were by their nature easy to achieve (interviewees just had to open the course email to ‘experience the course’. Learning and networking goals were more challenging, as were most participation goals.
24 were asked about the evolution of their goals. Of these, 15 said their goals had changed, and 9 not. Within these groups were some interesting observations: Of the nine whose goals had not changed, 8 had studied on cMOOCs before . Some of those whose goals hadn’t changed indicated that they had at least monitored their goals and decided that they were content that their original goals had been appropriate.Of the 9 participants who were new to MOOCs, 7 set goals, and 6 were asked whether their goals had changed. Of these 6, 5 indicated that they had changed – often to adjust to the specific behaviours demanded by MOOCS (for instance ‘ I had intended to read every post’ was clearly an impractical goal). As people understood the format of the course they focused their efforts onto the topics that interested them, or dropped performance goals in favour of more directed goals (Its ok not to contribute every week).