Recommended
Recommended
More Related Content
Similar to Beyond the backchannel: Leveraging Twitter to enact learning processes
Similar to Beyond the backchannel: Leveraging Twitter to enact learning processes (20)
Recently uploaded
Recently uploaded (20)
Beyond the backchannel: Leveraging Twitter to enact learning processes
- 1. Beyond the backchannel: Leveraging Twitter to enact learning processes Drew Paulin University of British Columbia @drewpaulin Caroline Haythornthwaite University of British Columbia @hthwaite Rafa Absar Clarkson University @RafaAbsar Sarah Gilbert University of British Columbia @_sgilbert_ Anatoliy Gruzd Ryerson University @gruzd
- 3. #pLASMA Project on Learning Analytics in the Social Media Age http://tiny.cc/SMLabPlasma • PIs: Anatoliy Gruzd & Caroline Haythornthwaite • Studying learning processes in social media. • Analysis of social media texts and networks. • Is social media beneficial to teaching and learning? • How do social media networks influence educational models? 3 pLASMA Intro SNA & Learning Twitter & Learning Twitter Tools Group Activity Summary Session 2 Preview @drewpaulin @_sgilbert_ | #pLASMA #iconf15
- 4. 4 https://socialmediaandsociety.com/ CFP STILL OPEN – WIP AND POSTERS
- 5. # #iconf15 #pLASMA# 5 How do you think connections in the Twitter backchannel at conferences foster learning?
- 6. 6 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview @drewpaulin @_sgilbert_ | #pLASMA #iconf15 Session plans Why Twitter and learning at conferences? What are we doing today?
- 7. 7 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview @drewpaulin @_sgilbert_ | #pLASMA #iconf15 Learning and social networks How might learning happen in Twitter? – Social Learning (Bandura, 1977; 1986). Observing others’ behaviour, adopting/adapting. – Modelling (Haythornthwaite, Kazmer, Robins and Shoemaker, 2000). New learners look to more experienced learners to understand how to ‘be’ online in a learning context. – (…sort of a) Zone of Proximal Development (Vygotsky, 1978). Interacting with more knowledgeable others (MKOs). – Connectivism (Siemens, 2005). Access to good information sources, focus on connecting information together towards sensemaking.
- 8. 8 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview @drewpaulin @_sgilbert_ | #pLASMA #iconf15 Social network analysis Centrality measures 1. Betweenness: • how often a node falls along the shortest path between 2 other nodes. • high betweenness = information control 2. Eigenvector: • How well-connected/central a node is in terms of the overall network 3. Prestige: • The number of ties a node has. • In-degree – prestige & popularity • Out-degree – influence & activity.
- 9. # #iconf15 #pLASMA# 9 Have you used Twitter in any formal or informal learning environments? If so, how?
- 10. Data collection for Twitter SNA / text analysis 1. TAGS (Twitter Archiving Google Sheet – Martin Hawksey) – https://tags.hawksey.info/ – Collect tweets to an archive using Google Sheets. – Creates network sociograms (TAGSExplorer). – Creates searchable archive interface (TAGS Archive). 2. Netlytic (Anatoliy Gruzd) – https://netlytic.org – Web-based text and SN analysis tool suite. – Datasets: Twitter, FB, Instagram, YouTube, Text, RSS, etc. 10@drewpaulin @_sgilbert_ | #pLASMA #iconf15 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview Useful Twitter tools – getting started
- 11. Most twitter activity is live-tweeting summaries, but… • #ICYMI - (in case you missed it) sharing relevant resources/examples. • #WDYT – (what do you think?) posing questions, generating discussions/collaboration. Examples: • #LAK14 – creating a dataset, collaboration. • #hcsmca – question driven discussion. 11@drewpaulin @_sgilbert_ | #pLASMA #iconf15 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview Practical applications of Twitter for learning: Beyond the backchannel
- 12. 12 Roles Count SM health content providers 110 Unaffiliated individual users 89 Communicators - not specifically health related 74 Communicators - Health related 59 Healthcare professionals 50 Health institutions 31 Advocacy 30 Students 16 Educators, professors 13 Researchers 10 Government and health policy makers 4 #hcsmca
- 13. 13 #hcsmca
- 14. Say hello to your tablemates! 1. What are your names? Where are you from? Why are you at iConference 2015? 2. Do you follow conference hashtags when you are not attending a conference? 3. What was the most interesting hashtag you’ve followed recently? Why? 14@drewpaulin @_sgilbert_ | #pLASMA #iconf15 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview Group activity
- 15. What does this cMOOC Twitter SN diagram tell us about class participation? 15 #CCK11 Class Tweets (Node size=“Outdegree”)
- 16. What does this visualization NOT tell us? What other info is needed to make sense of it? 16 #CCK11 Class Tweets (Node size=“Outdegree”)
- 17. 17@drewpaulin @_sgilbert_ | #pLASMA #iconf15 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview #iconf15 #pLASMA# How can we leverage Twitter to facilitate learning?
- 18. 18@drewpaulin @_sgilbert_ | #pLASMA #iconf15 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview Summary What resonated most in your group discussions? What are you interested in exploring further?
- 19. 19@drewpaulin @_sgilbert_ | #pLASMA #iconf15 pLASMA Intro SNA & Learning Twitter Tools Twitter & Learning Group Activity Summary Session 2 Preview Next session (Thursday @ 4pm) Our plans 1. Previous work – Conference Twitter network research • #LAK14 • #Congress2013 2. Conference tweeter roles 3. Explore #iconf15 Twitter networks