This talk brought to you by... OPen Adaptive Hypermedia group Escuela Politécnica Superior, Universidad Autónoma de Madrid {javier.bravo,

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)‏ A 2 provides a higher level of abstraction  Domain knowledge Anomalies  Heuristics Where to look for anomalies A 2 help to instructors who are not experts in Data Mining. Link: simulog-a2.pptsimulog-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.pptpres-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

Together Pedro Paredes Group formation based on learning styles  Specifically, group diversity using S-Felderman Work-in-progress More information - TOGETHER.pptTOGETHER.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 - AC v3.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

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)‏