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Assessment & Digital Media
Transcript of Assessment & Digital Media
Project & Challenge Based
Evidence Centered Design
Online data gathering +
Distributed interoperating web services
Decisions & Dilemmas
New Media Affordances
solution suite of
tools & practices
physical - emotion - cognition - history
Global - national - regional
Family - friends - colleagues - professionals
AND MORE IMPORTANT
The knowledge community with special language, concepts & practices
Explanatory - Deductive - Conceptual Analogical - Perceptual
...tests, observations, examining artifacts...
New possibilities for assessment stem from
evidence centered design theory,
traditional decisions and dilemmas of performance assessment, and
the affordances of immersive digital media learning environments.
Assessment & Digital Media Learning
Digital Media Assessment Theory
Measures and feedback for improvement of performance and evaluating learners, that are “multidimensional, integrated, and revealed in performance over time” (Walvoord & Anderson, 1998)
Complex performances can be supported and documented in network-based assessments via multimedia, multileveled, and multiply connected bases of knowledge.
Analysis of expert-novice differences can be facilitated across groups, across space and time, drawing from an evolving common knowledge store.
Emerging capabilities in metadata generation offer the potential for identifying the problem-solving strategies of learners.
The interactive potential of network-based assessment opens up new possibilities for fostering and determining metacognitive skills of the learner.
with topic maps will include pattern
recognition & judgment
assistance for humans
and computer agents
In this example, the
computer recognizes similarities between
two visual examples (e.g. "same color" & "same cone-like shape")
With many instances of the learner interacting with applications in different times, places and contexts, network-based assessments can build a long-term record of documentation, showing how learners change over time.
Network-based assessments can include statistical analysis and displays of information to assist learners and teachers in making inferences about performance.
NY TIMES (Mixing traditional and new methods, the journal posted online four essays not yet accepted for publication, and a core group of experts — what Ms. Rowe called “our crowd sourcing” — were invited to post their signed comments on the Web site MediaCommons, a scholarly digital network. Others could add their thoughts as well, after registering with their own names. In the end 41 people made more than 350 comments, many of which elicited responses from the authors. The revised essays were then reviewed by the quarterly’s editors, who made the final decision to include them in the printed journal, due out Sept. 17.
Automated Tagging & Text Mining
Feed in some documents or web pages, then...
...which leads to topic maps and other forms of semantically organized information
I fed in an 8 page conference paper
and got several terms...
...where complexity analysis is
going to be helpful in finding coherent resolutions among the layered & overlapping frames of reference
GIS Mapping of Social Characteristics
Equity Alliance & Leadscape @ ASU
An Example of Peer-to-Peer Assessment
Illustrates the need to understand...
An example of metadata generation
Structural modeling can now start with drawings and qualitative understandings...
...& be mathematically rigorous.
A design for any
digital media learning experience...with computational representations of assessment functions
Imagine teaching an online course and mapping the distribution of grades on the last assignment.
Decisions & Dilemmas of Assessment
Evidence Centered Design
New Media Affordances
Imagine these as performance levels in the skills to be acquired...
An example of metadata generation is coming next
Intersection of MIRROR, PUBLIC, MEDIA
Intersection of MAP, TRUSTED OTHER, ARTIFACT
Intersection of SONNET, PUBLIC, FOCUS
Needs human shaping...called "supervised learning" of the artificial intelligence
How do student grades relate to where they live?
Machines will learn to make their own topic maps by observing performances and artifacts - and will be able to compare their topic maps to those in order to make an assessment.
Bayesian Essay Test Scoring sYstem
Automated Essay Scoring
Software from the Computational Epistemology Laboratory
Adaptive Digital Media
See George Siemans blog re: Learning Analytics
Next stops on the path are examples of "semantic data" generation
See Paul Thagard's work
Sensors capture 128 records per second during digital media performance and learning
The sensors provide simultaneous multi-channel data
Data is transformed to represent time slices of interest via adjacency matrices
Adjacency matrices are used to create network maps of brain states