Alternative analytics

Sleeper's lag: motion and attention

Raca, Tormey, Dillenbourg

  • Classroom activities - are they being followed
    • “with-me-ness”
  • Signals in the classroom
    • attention - following the lecture
  • Signal-oriented view of the classroom (signal-theory)
  • “Sleep-FL”, FB pictures of students sleeping.
  • Motion analysis. Intensitivity of movement.

Filters

  • annotated region
  • feature tracking (Lucas-Kanade)
  • motion tracks (heuristics)
  • gaussian probability to assign source of motion to a specific student

Study

  • 4 cameras
  • questionnaires at 4 different points of time (attention, activities in that period)
  • want to capture
    • attention of student (normally distributed)
    • activities: 3 productive and 3 counter-productive

Questions

  • teacher-centered positioning (further away from teacher)
  • student-centered positioning (proximics theory of E. T. Hall)
    • immediate neighboor
    • visible neighborhood
    • other

Synchronization

  • borrowed from eye tracking
  • dyadic analysis of classroom - chronological correspondence of movement
    • immediate neighbor has higher probability of synchronization

Lag between synchronized movements in dyads higher for low-attention students.

Clustering of classroom visual displays

Almeda and Baker

No empirical evidence that large amounts of visual design supports learning - but can be described as “visual bombardment”. May increase off-task behaviour among young children.

“Classroom Wall Coding System”

Human data interpreters to close the feedback loop

Doug Clow

OU.UK: 3 million Moodle transactions per day.

Innovating Pedagogy Report 2013

Institutional capacity building, 8 wranglers. Each working with specific faculty - kind of like faculty librarians.

Data

  • student feedback
  • activity data (Moodle)
  • delivery data (what kind of course it is, which components that are used, how the incentives are structured for students)
  • completion, pass rates, demographic information

Report process

  • briefing discussion
  • data analysis and report writing
  • draft discussion
  • final report

Quality assurance

  • scrutiny in draft (internal peer-review, statistics etc)
  • standard document template
  • executive summary
  • recommendations (“more research required”)
  • sometimes responsive quick reports, or doing extra in-depth work

Overwhelming finding: not much to see here. How can we streamline to things that are worth to look at regularly?

Only through detailed process of engagement and dialogue between analysts, stakeholders and the data, that insight and organisational change are developed.

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