professional learning through massive open online courses allison littlejohn, colin milligan...

Professional Learning through Massive Open Online Courses

Allison Littlejohn, Colin Milligan

Caledonian Academy, Glasgow Caledonian University Glasgow, Scotland

Obiageli Ukadike

Harvard Medical School – Harvard Catalyst, Boston MA

@allisonl @cdmilligan

Technology-enhanced Professional Learning

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Littlejohn & Margaryan, 2013

Technology-enhanced Professional Learning

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Continual

Self-regulated

Redefined relationships

Littlejohn & Margaryan, 2013

Personalised

Social

Social cognitive model of self- regulation (Zimmerman, 2000)Self-regulation is the ‘self-generated thoughts, feelings

and actions that are planned and cyclically adapted to the attainment of personal goals’

Forethought

PerformanceSelf-reflection

Forethought Performance Self-reflection

Task analysis Goal setting Strategic planningSelf-motivation belief Self-efficacy Task interest/value

Self-control Task strategies Elaboration Critical Thinking Help seeking Interest enhancement

Self-judgement Self-evaluationSelf-reaction Self-satisfaction/affect

Learner

Learning strategy Learning behaviourLearning opportunitiesLearning tools

Tensions across autonomy- diversity, openess- connectedness in MOOCsMackness, Mak & Williams (2010)

Critical/ digital literacies in MOOCsFini et al (2009), Kop et al (2011)

Self-regulated learning behaviours in a MOOCMilligan, Littlejohn & Margaryan (2013)

What’s known about Professional Learning in MOOCs

Project provides new insight into:

• Learning behaviours in MOOCs while self-regulating

• MOOC environment design recommendations to encourage the development and emergence of SRL behaviours.

Relevant for professional learning, though applicable to a range of settings.

Outputs aimed to impact future research and development

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What’s known about Professional Learning in MOOCs

Research Questions

• RQ: What self-regulated learning strategies and behaviours do professionals adopt in MOOCs?

• RQ: How are Massive Open Online Courses currently designed to support self-regulated learning?

• RQ: How can MOOCs be designed to encourage professionals to self-regulate their learning?

Context:

• MOOC for healthcare professionals (edX: HarvardX)

• Findings and outputs tested in other health MOOCs

(FutureLearn: Kings College London)

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Research Context: edX ‘Fundamentals of Clinical Trials’

• Harvard Medical School, Harvard School of Public Health, Harvard Catalyst.

• Delivered via edX Oct 2013-Feb2014 https://www.edx.org/course/harvardx/harvardx-hsph-hms214x-fundamentals-941

• 24,000 registered, 400+ participants in study, contacted by course announcement in week 5 (of 14).

• Provides an introduction to the scientific, statistical, and ethical aspects of clinical trials research.

• Participants assumed to have a background in biostatistics and epidemiology.

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https://www.edx.org/course/harvardx/harvardx-hsph-hms214x-fundamentals-941

Fundamentals of Clinical Trials

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Video, with commentary...


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Follow the textbook link to read the ebook online…


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Discussion forum, encourages in-depth discussion


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MCQ assessment items.

Limited number of attempts

Scores are recorded in the progress tab.

RQ: What self-regulated learning strategies and behaviours do professionals adopt in MOOCs?

Collect and analyse learner data form professionals learning in a MOOC.

• Survey of SRL profiles to collect data of overall population.

• Learner interviews to explore impact of course on practice.

• Data analysis and synthesis of quant. and qual. data.

(leading to)

• Use Cases of learner behaviours providing a narrative description of learner behaviour patterns observed.

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RQ: What self-regulated learning strategies and behaviours do professionals adopt?

• SRL Profile Survey Instrument: http://figshare.com/articles/SRLMQ/866774

• 42 items measuring 11 sub-processes of SRL.

• Based on a validated instrument exploring SRL behaviours in professional learning.

• Three open ended questions exploring:

• motivation,

• impact,

• interaction

• Administered via SurveyMonkey

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Sample questions (measured on 5pt Likert scale)

• My past experiences prepare me well for new learning challenges. (self-efficacy)

• I try to apply my previous experience when learning. (elaboration)

• I ask myself how what I am learning is related to what I already know. (task strategies)

• I ask others for more information when I need it. (help-seeking)

• I try to understand how what I have learned impacts my work/practice. (self-satisfaction)

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Snapshot of Sample: Demographics

Continent Number Countries

South America

25 6

North America

82 11

Europe 109 23

Africa 36 15

Asia 87 20

Oceania 8 2

Not stated 29 -

376 77

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Countries Participants

US – United States 64

IN - India 38

ES - Spain 20

EG - Egypt 13

BR - Brazil 12

UK – United Kingdom

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Snapshot of Sample: Demographics

Age profile: 60% under 35

Gender F:M 52:48

Education: 60% have at least a Masters level qualification

Intend to Gain Completion Certificate: 96%

Participated in a MOOC before: 52%

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SRL – Profile Score

Those who identified as healthcare professionals were selected and split into three groups based on SRL profile score.

SRL-L: ave. 125

SRL-M: ave. 153

SRL-H: ave .180

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42 54 66 78 90 102

114

126

138

150

162

174

186

198

210More

0

5

10

15

20

25

30

35

40

45

50

SRL-Score

Freq

uency

Snapshot of Sample: Roles

50% currently employed as a healthcare professionals

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Clinician (Physician, MD, specific titles) 62Clinical research (specialist job titles) 36Researcher/lecturer 27Pharmacist 18Corporate/ non scientific roles 16Other healthcare (Nurse, Physical Therapist etc.) 12Dentist 5Other 1Total 177

Q1 What motivated you to take this course?

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Low HighInterest (responses indicated a generic expression of interest)

3 6

Topic (referred to the topic of the course but no link to current or future role)

12 4

Career (linked participation to their future career)

5 9

Professional (linked to current practice, or what they hoped to get out of the course)

6 14

Harvard (referred explicitly to certification, or prestige of provider)

11 3

MOOCs - 1Total 37 37Low and High SRL groups seem to differ in motivation:

• Low attracted by prestige of HarvardX Brand or by topic.

• High cite links to career or professional practice

Q2 Please describe how you expect studying on this course to contribute to your work or professional practice (or other studies)?

Low

High

Interest (doing this for interest rather than to gain specific knowledge)

4 0

Knowledge(comments highlight topic focus but do not relate directly to current or future role)

8 12

Practice (focused specifically on current role)

18 16

Career (focused on future role)

6 7

Total 36 35

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Little difference between the two groups:• Only Low-SRL described participation as ‘for interest only’

Q3 Please describe your experience of interacting with other learners in the discussion forum. What went well? What was challenging?

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Low HighPositive 13 15Negative 6 5 Language /technical 4 2 Frustrated 1 3 Overwhelmed 2 0Not used 13 11 Not interested 6 8 No time 7 3

Broadly similar though:• Low-SRL may be less likely to prioritise time, • Only low-SRL learners were ‘overwhelmed’.

Semi-structured interviews (begin tomorrow).

• Minimum 30 (up to 70) participants (from two groups: low-SRL and high-SRL, all professionals) contacted for interview.

• Research participants asked to reflect on the impact that the MOOC has had/is likely to have on their professional practice.

• SS Interview script: http://figshare.com/articles/PL_MOOC_Semi_structured_interview_script/866773

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Sample questions

• Context: Do you expect to integrate what you have learned in the MOOC into your professional practice? Can you give an example? [PROBE: How?]

• Strategies: Did you share anything with anyone else either formally or informally (e.g. through informal discussions, postings on blogs, contribution to discussion forums etc.) [PROBE: Who?]

• Self-evaluation: Did you talk to anyone in your professional network to discuss the value of the MOOC?

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Semi-structured interviews

• Basis for use case narratives of learning behaviours in a MOOC

• Questions (aligned with SRL-sub-processes) explore:

• interaction with others, within and beyond course (e.g. with professional network)

• use of tools to support interaction with course content and to support learning (using 4c’s: consume, connect, create and contribute)

• explore impact on professional practice.

• First interviews scheduled for 6/12/13

• Continue throughout December

• Analysis in January 2014page 26

RQ: How are Massive Open Online Courses currently designed to support self-regulated learning?Review current research in SRL and develop a tool to allow mapping of MOOC designs and SRL behaviours.

• Desk research of SRL to inform Design Mapping Tool .

• Course Design document review.

• edX/HarvardX Design team interview.

• Data analysis and synthesis mapping design to SRL sub-processes.

(leading to)

• Design mapping tool based on current SRL literature.

• MOOC design strategy report.

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RQ: How are Massive Open Online Courses currently designed to support self-regulated learning?

• Explore learner behaviour AND MOOC design through SRL lens

• Complement the learner data with data about the design of the course (at strategic, platform and course level)

• Environments can foster the development of SRL Skills

• Learner’s ability to self-regulate impacts their performance

• Survey research evidence and map to the SRL sub-processes.

• Develop questions for MOOC providers, platform developers, course designers and teaching assistants to build picture of individual MOOCs

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Summary of research evidenceWhat interventions might you make in an environment to promote SRL.

(pre-training/presence of tutor) (Azevedo et al, 2004, 2005) F: Goal-setting tools (Chang et al 2013) (also flexible pathways through

content) F: Planning tools (experimental plans) (White and Frederiksen, 1998) F: Planning tools (cues, hints) (Manlove et al 2008) P: Scaffold interaction (Cho & Kim, 2013) P: Require interaction (Cho & Kim, 2013) P: Feedback mechanisms (Aleven et al, 2006) (Wang, 2011) P: Note-taking and Highlighting tools (Proske, Narciss, and Koerndle, 2007)

(Kauffman, 2004) P: Cues to take structured notes (Kauffman, 2004) P/SR: Diary tools (Arsal, 2010; Neber &Schommer-Atkins, 2002; Schmitz &

Weise, 2006; Winne, 2005) SR: Inline prompts to monitor/reflect on learning (Kauffman, 2004) SR Explicit meta-cognitive tasks (Delfino, Dettori & Persico, 2011 ; Kramarski &

Mizrachi, 2013) P: Tasks structures encouraging participants to take control (Dettori, Giannetti

& Persico, 2005)What SRL-related learner behaviours are expressed in online environments (and correlated with better academic performance):

F: Goal setting (Chang et al, 2013) F: Planning (Azevedo et al, 2004) F: Self-efficacy (Wang and Lin, 2007) (Yang et al, 2006) (Cho and Johanssen,

2009) F: Goal orientation (Chang, 2007) P: Monitoring (Greene and Azevedo, 2009) P: Time management: (Hu and Gramling, 2009; Song et al, 2004) P: Help-seeking (Azevedo et al, 2004; Vighnarajah et al, 2009)

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Design Mapping Tool

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Domains

EvidenceEnvironment

DesignRecommendatio

nsSRL

Sub-processes

Planning Goal-setting Self-efficacy Task-interest/value

Help-seeking Task strategies

Elaboration Self-evaluation

Self-satisfaction

RQ: How can MOOCs be designed to encourage professionals to self-regulate their learning?

Synthesise results as recommendations and scientific outputs.

• Data analysis of data collected in first two phases into a set of recommendations.

• Recommendations review with additional professional learning MOOC.

(leading to)

• Revised MOOC design recommendations for MOOC community.

• All instruments, datasets and findings from the study (eg IRRODL article)

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Current and Next steps

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• RQ2 Conduct interviews and analyse learner behaviour

• RQ1 Collect MOOC design data using mapping tool

• RQ3 Develop recommendations for MOOC design

• Refine tools and recommendations in a different MOOC

Current and Next steps

Provide new insight of use to the research & development communities:

• Learning behaviours in MOOCs

• MOOC environment design recommendations

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Professional Learning through Massive Open Online Courses

Allison Littlejohn, Colin Milligan

Caledonian Academy, Glasgow Caledonian University Glasgow, Scotland

Obiageli Ukadike

Harvard Medical School – Harvard Catalyst, Boston MA

http://gcu.ac.uk/academy/pl-mooc/

@allisonl @cdmilligan

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relationship between online course perceptions and achievements. International Review of Open and Distance Learning, 9 (2), 1-11.

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• Dettori, G.,& Persico, D. (2009) Supporting self-regulated learning with ICT, in A. Cartelli and M. Palma (eds.) Encyclopaedia of ICT, pp 735-741. IGI Global, Hershey, PA

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• Lefrere, P. (2007). “Business success - the special contribution of self-regulated learning.” In J. Beishuizen, R. Carniero & K. Steffens (Eds.) Self-regulated Learning in Technology Enhanced Learning Environments: Individual Learning and Communities of Learners. pp. 49-53. Shaker Verlag: Aachen.

• Littlejohn, A., Milligan, C., & Margaryan, A. (2011). Collective learning in the workplace: Important knowledge sharing behaviours. International Journal of Advanced Corporate Learning, 4 (4) 26-31.

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Bibliography• Littlejohn, A., Milligan, C., Margaryan, A (2012),"Charting collective knowledge: supporting• self-regulated learning in the workplace", Journal of Workplace Learning, 24(3).226-238.• Littlejohn, A., & Margaryan, A. (2013). Technology Enhanced Professional Learning: mapping out a new domain.

Chapter 1 in Littlejohn, A., & Margaryan, A. (Eds.). Technology-enhanced professional learning: Processes, practices and tools. London, Routledge.

• Liyanagunawardena, T. R., Adams, A. A., & Williams, S.A. (2013). MOOCs: A systematic study of the published literature 2008-2012, International Review of Research in Open and Distance Learning, 14 (3) 202-227.

• Mackness, J., Mak, S., & Williams, R. (2010). The ideals and reality of participating in a MOOC. In L. Dirckinck-Holmfeld, V. Hodgson, C. Jones, M. de Laat, D. McConnell, & T. Ryberg. (Eds.). Proceedings of the 7th International Conference on Networked Learning 2010. pp. 266-275. University of Lancaster, Lancaster.

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Zeidner (Eds.), Handbook of self-regulation, San Diego, Academic Press.

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Design mapping tool example questions: Help-seekingQuestions Research Evidence

- Is interaction with other learners seen as necessary/essential for course participation? (strategic)

- Are tools/structures provided to encourage interaction? (platform)

- Are tools /structures provided that encourage interaction around specific pieces of content (e.g. collaborative annotation?) (platform)

- Are learners encouraged to interact with each other, and tutors as they learn (course dev.)

- Are learners expected to make contact with other learners to discuss course content (course dev.)

- Are learners expected to make contact with tutors (teaching assistants) to discuss course content? (course dev)

- Have you observed learners making contact with each other in the course discussion fora (teaching assistant).

- Help-seeking correlates with increased academic performance (Azevedo et al, 2004; Vighnarajah et al, 2009)

- Scaffolding interaction promotes SRL (Cho & Kim, 2013)

- Requiring interaction promotes SRL (Cho & Kim, 2013)

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