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OPen Adaptive Hypermedia groupEscuela Politécnica Superior,
Universidad Autónoma de Madrid
{javier.bravo, manuel.freire}@uam.es http://tangow.ii.uam.es/opah
http://www.ii.uam.es
Outline Adaptive Hypermedia
Course framework, Authoring – Wotan / WotEd Testing & Evaluation – Simulog / ASquare Free-text / NLP - Willow, Willed Collaboration – Col-Tangow, CoMoLe
Other projects Group formation - Together Plagiarism deterrence – Ac Peer-reviewed Grading – Pacs
Collaboration with PAWS group Proposal to integrate Wotan & Cumulate
Adaptive Hypermedia
Wotan provides Course & user administration, UM monitoring Exercise creation interface Adaptation and course delivery / monitoring
Course adaptation currently mimics Tangow Default 'AdaptationEngine'; can use others
WOTAN
Access roles: admin, author, student Course structure:
tasks, rules (& seq), fragments, versions UMs: namespaces, values Adaptation: engines, expressions Session offshoring: Atenea / Willow Wotan services: programatic interfaces
WOTED
Authoring tool for Wotan/Tangow courses Information overload & (clustered) graphs Direct manipulation of structure Based on Clover – MVC for free Talks to Wotan services
Course + UM + events => monitoring
SimuLog
Allow authors to test the evaluation tool Are anomalous patterns being detected?
Generates logs imitating student behavior Uses an internal copy of Wotan No need for an actual server Author can parametrize log “randomness”
Asquare (Author Assistant)
A2 provides a higher level of abstraction Domain knowledge
Anomalies Heuristics
Where to look for anomalies A2 help to instructors who are not experts in
Data Mining. Link: simulog-a2.ppt
Willow (adaptive Atenea)
Diana Pérez, Enrique Alfonseca Teacher supplies free-text questions, and
several different correct answers for each. System extracts and generates concept
map Student answers questions,
Textual feedback, Can examine own concept map overlay
Multiple UM views; similar to Mabbot&Bull More info: pres-diana.ppt
ColTangow, CoMoLe
Rosa Carro, Estefanía Martín ColTangow
Collaborative tasks Choice of tools for tasks depending on profile Extension to rule system to support it Work-in-progress
CoMoLe Generalization for mobile devices Profile incorporates context information
Other Tools - rationale
EPS/UAM computer science; typical course
As a TA, would like to improve Group creation Plagiarism prevention Feedback, Grading, Motivation
Theory Programming assignments
Classroom time 60% 40%
Work time (est.) 20% 80%
Grade weight 70% 30%
Together
Pedro Paredes Group formation based on learning styles
Specifically, group diversity using S-Felderman Work-in-progress More information - TOGETHER.ppt
AC – Plagiarism Prevention
Similarity between two submissions Default: tokenize + compression distance Other metrics / metric combinations available
Analysis with List / Filtered graph / Individual Histograms
Submission acquisition – apples to apples Virtual filesystems, sophisticated boolean filters
http://tangow.ii.uam.es/ac - AC-0703136v3.pdf
PACS – Assignment Grading Groups in Subjects; Assignments in Subjects Teacher defines, for each assignment
Grading criteria (reviews) & Review grading criteria Formal Judge, Functional Judge Deadlines
Initial flow
Feedback: multiple [peer] reviews, clear criteria, comments and more comments
Mechanism ‘almost there’; Questions on policy
Student Teacher
Sub. open
Sub. closed reviews all assignments
Rev. closed can access reviews reviews all reviews
submits / resubmits until
rulings ok
receives 2 assignments
to review
Platforms Wotan as an activity for the KT ecosystem
(or as a portal to enable access to KT activities)
Future UM testing / datamining (Javier) Technology
Graph representation, Pdf to text, Plagiarism detection, Similarity
visualization, Java plugin mechanism, Java parsers, Java session
persistance, Jail environment, Free-text question grading (Diana)
Content Interested in C, Java, SQL content for local KT installation
Collaboration with PAWS group
The End
Questions Comments Suggestions Feedback on the sweets
(& Thanks to all interviewees)