final hicss vmc
TRANSCRIPT
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Building Multimedia Artifacts using a Cyber-
enabled Video Repository:
The VMCAnalytic
Cindy E. Hmelo-Silver, Carolyn A. Maher, Marjory
F . Palius, Robert Sigley, Alice Alston, Grace
Agnew, and Chad Mills
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videomosaic.org
Overview
• Video for teaching and learning
• Building on a major video collection
• VideoMosaic Repository
• Learning through constructing multimedia artifacts
• The VMC Analytic
• Exploring the use of VMC Analytics
– Emerging themes
– Contrasting cases
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Video for Teaching and Learning
• Helping teachers learn about student learning and classroom
practice (e.g., Borko et al., 2008; Derry et al.; 2006; Maher et
al; 2010)
– Shows how learning unfolds in rich contexts (
• Need support for dealing with complexity of video
– Range of learning cycles include:
• Lesson study (Lewis, 2002; Maher et al; 2010
• Video clubs (Van Es, 2009)
• Problem-based learning (Hmelo-Silver et al; 2009)
• Although much research focuses on teacher’s own video, can
be good reasons to use video from other sources
– Allow selection of telling cases for instructional use
– Preservice teachers may not have access to their own
– Can support comparative reflection
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Video Mosaic Collaborative (VMC)
• Preserves a major video data collection on student reasoning– Robert B. Davis Institute collection
– Videos following the same student cohort from elementary school through high school and beyond (Maher, 2005)
– From longitudinal/cross sectional studies spanning 25 years
– Over 4500 hours of video
– From diverse schools settings
– To be available as open source
– From 40 doctoral dissertations
• Makes available new tools for– Teachers
– Educators
– Researchers
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Learning through Artifact Design
• Allows showing multiple perspectives
• Forces focus on function—purpose of VMC analytic
• Collaborative design with computer tools can foster productive
collaborative learning processes (e.g, Zahn et al., 2010)
• Using editing tools with video can create ―representational
guidance‖(Suthers & Hundhausen, 2003)
– Specific editing features in video tools afford particular kinds of
epistemic and collaborative practices in working with video
– E.g., being able to select and annotate video clips, users may initiate
discussions about what is important as well as what might enable
comparisons among different segments, or even different videos
• While editing, new ideas constructed through critical reflection
(Zahn et al., 2010)
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Video Mosaic Collaborative (VMC)
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Bringing New Tools
on Board: The
VMCAnalytic
• Create multimedia artifacts
using the VMC repository
• Narrative with video for
purpose
• Variety of uses by
instructors, researchers
• Goal to classify and identify
what differentiates high
quality and low quality
―analytics‖
• Data sources: 27
VMCanalytics from several
different classes and
researchers
• Work very much in progress
Agnew et al, 2010
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VMC Analytic by Hmelo-Silver (2011)
VMC Analytic by Horwitz (2011)
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Brandon Analytic
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How are VMC Analytics being used in different
contexts?
Class Math Depth
LS Depth Clarity Coherence
Design-based Research 0.78 1.00 1.22 1.33
Intro to
Math Ed 1.96 1.80 2.36 2.20 Critical
Thinking 2.00 2.40 2.30 2.00
Practicum 3.00 2.25 2.63 2.63
No Class 1.17 1.67 3.00 3.00
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Contrasting Cases
Example 1: Analytic illustrating
how student can move from
particular to general
• Concepts from both
learning sciences and
mathematics clearly
articulated
• Indicative of designer's
understanding of
students’ learning
trajectory
Example 2: Analytic illustrates
teacher questioning during
early algebra exploration
• Students claims not
supported by video
segments selected
• Textual descriptions of
events were vague
• Video not well chosen for
intended purpose of
relationship of teacher
questioning and student
engagement
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Example 1
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Example 2
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Word Clouds
• VMCAnalytics coded for
emergent themes
• Explored use of word
clouds as a learning
analytic
– Mathematics Education
ideas
– Learning Sciences ideas
• Allow us to see
dominant themes within
the two areas of interest
Word Cloud of coded Mathematics themes
Word Cloud of coded Learning Sciences themes
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Discussion
• Variety of themes and users
– Clustered around course goals
– Engaged with issues of complexity of learning content
• Users bring various lenses for creative insights to ss learning
• Show how users support claims with video data
– Descriptions make context and content visible
– Offers opportunity to illustrate connections to earlier ideas
– Can trace building of ideas and cognitive obstacles that arise
• Aid to instruction
– Require backing of ideas by users
– Make central themes transparant
– Window into Ss thinking to guide future instruction
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Moving Forward
• Automated tools for rapid formative assessment
– Word Cloud
– Learning Analytics
• Course based experiments
– VMC Analytic guided by clearly defined purposes related to L & T
– Tool for demonstrating learning trajectories in a variety of settings
• Network technology
– Can empower teacher leaders to be creators of multi-media artifacts
– Tool for professional development, collaboration
– Creation of new social tools
• Researchers
– Opportunities for immediate feedback, collaboration, exchange of
knowledge