[ Learning Analytics for Collaborative Writing ][ A Prototype and Case Study ]    Brian McNely, Paul Gestwicki, J. Holden ...
[ Motivation ]— Writing + Collaborative Knowledge— Formative Assessment  ∆ - Zone of Proximal Development in networked  en...
[ Analytics ]   Project questions:         — Do learning analytics related to collaborative writingfoster         greater ...
[ Analytics & Collaborative Writing ]Affordances of Google Docs:    — Surfacing real-time collaborative writing activity  ...
[ Uatu Prototype | System Design ]
[ Uatu Prototype | Visualizations ]
[ Methods ]Systematic qualitative case study over 15 weeks, usingethnographic methods of fieldwork, including:   — classro...
[ Data ]   Total data collected includes:      — 8 participants      — 20 classroom observations      — 24 semi-structured...
[ Findings | Overview ]
[ Theme 1 | Collocation ]
[ Theme 2 | Ephemera ]
[ Theme 3 | What “Counts” as Writing? ]    — What kinds of practices meaningfully contribute to finalwritten deliverables?...
[ Implications & Opportunities ]   — Our prototype worked well, but it didn’t reveal much about   novice software develope...
[ Questions & Discussion ]      brian.mcnely@gmail.com | paul.gestwicki@gmail.com
Upcoming SlideShare
Loading in...5
×

Learning Analytics for Collaborative Writing: A Prototype and Case Study

231

Published on

Published in: Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
231
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Learning Analytics for Collaborative Writing: A Prototype and Case Study

  1. 1. [ Learning Analytics for Collaborative Writing ][ A Prototype and Case Study ] Brian McNely, Paul Gestwicki, J. Holden Hill, Phillip Parli-Horne, and Erika Johnson Ball State University
  2. 2. [ Motivation ]— Writing + Collaborative Knowledge— Formative Assessment ∆ - Zone of Proximal Development in networked environments
  3. 3. [ Analytics ] Project questions: — Do learning analytics related to collaborative writingfoster greater metacognition among participants? — Does such analytic data promote both instructor andpeer opportunities for real time interventions as formative assessment?
  4. 4. [ Analytics & Collaborative Writing ]Affordances of Google Docs: — Surfacing real-time collaborative writing activity — Ample opportunities for interventions and meta-talk — Suite of publicly available APIs + Docs Gdata API + Google Visualization API
  5. 5. [ Uatu Prototype | System Design ]
  6. 6. [ Uatu Prototype | Visualizations ]
  7. 7. [ Methods ]Systematic qualitative case study over 15 weeks, usingethnographic methods of fieldwork, including: — classroom observations — semi-structured and stimulated recall interviews — out of class observations of collaborative activity + pair programming + collaborative writing — documentary photography — collection of participant artifacts — triangulation across data types and instances
  8. 8. [ Data ] Total data collected includes: — 8 participants — 20 classroom observations — 24 semi-structured and stimulated recall interviews — 14 out of class observations — 70+ photographs — 19 participant-produced written artifacts + including granular composition/revision historycaptured by Uatu — 42,000+ words of fieldnotes and analytic memos
  9. 9. [ Findings | Overview ]
  10. 10. [ Theme 1 | Collocation ]
  11. 11. [ Theme 2 | Ephemera ]
  12. 12. [ Theme 3 | What “Counts” as Writing? ] — What kinds of practices meaningfully contribute to finalwritten deliverables? — How do we measure who “writes” in collocatedcollaborations? — What role do other forms of writing work play in theconstruction of final deliverables? — How can such contributions be measured?
  13. 13. [ Implications & Opportunities ] — Our prototype worked well, but it didn’t reveal much about novice software developer’s writing-in-practice. — The real utility of a system like Uatu is in: + Fully online learning environments + Distributed collaborative teams + Complex, ongoing, multi-contributor deliverables
  14. 14. [ Questions & Discussion ] brian.mcnely@gmail.com | paul.gestwicki@gmail.com
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×