grand challenges for the educational data mining and learning sciences communities
TRANSCRIPT
A Pessimistic Snapshot of What’s Wrong with Formal Education Today
Impoverished / problematic understandings about
learning and increasingly diverse learners
Recalcitrant educational structures, punitive evaluation systems
Unproductive classroom cultures
Dysfunctional engagement in
formal schooling
Sea of digital information and informal (learning)
interaction opportunities
Growth of informal learning communities (e.g. maker-spaces,) -> alternative venues for learning
and demonstration of expertise
Rise of large scale learning environments -> opportunities for personalization and customized collaboration
Developments in computational discourse
and other methods -> new possibilities for tailored feedback
and assessment mechanisms
Increased data generated digitally (from physical and virtual spaces) -> opportunities for increased analytical insight
Emerging Technologies, Possibilities & Tensions
What we can build
What is worth
building
What we can
measure
What is worth
measuring
4. Adapting to increasingly diverse learner populations online and face-to-face
Grand Challenges
Measuring Things
1. Supporting community and interaction in learning spaces in the face of the current emphasis on scaling up and personalization
2. Making formal education relevant in a world where information is everywhere
3. Assessing and facilitating learning trajectories (vs. momentary states)
5. Being responsive to contextual differences bet. learning environments
Building Things
Challenge 1 – Building community in learning spaces in the face of the current emphasis on scaling up and personalization
• Productive classroom cultures and informal communities of practice foster efficacious and engaged learners
• Time for interactive refinement of mental models and knowledge practices, relationships, learners’ voices, agency and ownership key
• Focus on efficiency, economy, individualization and scale threatens the time needed for individual and collective sense-making
• Need for “slow learning”?
Challenge 2 – Keeping formal education relevant in a world where information is everywhere
• Today’s students have greater access to information than ever before (though this alone doesn’t cultivate knowledge, wisdom, understanding)
• Increasing challenges to schools as the primary venue for learning and demonstration of expertise
• Need to cultivate connections that penetrate the classroom walls , how can formal and informal learning become synergistic?
Challenge 3 – Facilitating and assessing learning trajectories (not momentary states)
• Increase in data granularity and temporal analysis techniques create possibilities to transform our paradigms of assessment to look at growth
• Opportunities to thinking about learning pathways not ‘bite sized chunks’
• Important issues of data rights and privacy - what are possibilities + dangers for “electronic learning records”?
• Role for student ownership and agency as learning occurs across contexts, expanding repertoire of ways to demonstrate / document expertise
Challenge 4 – Adapting to increasingly diverse learner populations online and face-to-face
• Immigration and global mobility are making classrooms are increasingly multi-cultural
• Online environments offer learning experiences to students coming with widely different cultural backgrounds + expectations
• Need for more robust ways to measure these differences in order to take them into account (tailored models + interventions)
Bergner, Kerr & Pritchard (2015) EDM 2015
MOOC Discussion Viewing
2 kinds of learners (whose activity needs to be modelled differently): those whose viewing was consistent over
time and those whose viewing changed
Challenge 5 – Being responsive to contextual differences between learning environments
• Online (and f2f) learning environments differ greatly in goals, practices and use of tools
Image Credit: World Map Parchment by Guy Sie via Flickr (CC BY 2.0)
Ogan, Baker, Walker, Rodrigo, Soriano, Castro (2015) IJAIED
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Brooks, Greer & Gutwin, (2014) Learning Analytics: Research to Practice
Online Discussion Social Network Diagrams
Whether a particular pattern is “good” or “bad” depends on what the purpose of using the discussion forum was
(e.g. community building, Q&A/help, knowledge building)
Challenge 5 – Being responsive to contextual differences between learning environments
• Online and f2f learning environments differ greatly in goals, practices and use of tools
• Need to identify critical features on which they are similar / different (e.g. subject matter, pedagogy..)
• Balance between desire to generalize and recognition of key distinctions that need to be attended to for models to be locally useful
Image Credit: Modified from cc licensed ( BY ) flickr photos of isole di brissago shared by mbeo and Forth Bridge at dusk shared by Hilts uk
How do we start to recognize the boundaries of what we know , identify where other needed expertise resides, and learn enough about others’ areas to converse productively?