Competitive Challenge on Adapting Activities Modeled by CSCL Scripts Workshop at CSCL'2009 Monday, June 8th, 2009 WorkshopCSCL'2009 aDeNu Research Group, UNED Proposal for the competition: The IMS-LD player of dotLRN + other developments

Overview 16:00 – 16:15 –Presentation of the proposal (Olga C. Santos) workshop/applyingforcompetitorrols/ workshop/applyingforcompetitorrols/ 16:15 – 16:30 –Demo (Alberto Bayon, Jorge Couchet, Olga C. Santos)

People involved in the proposal Definition of the approach –Olga C. Santos, Alberto Bayon, Jesus G. Boticario, Jorge Couchet Developments: –Emanuelle Raffenne (dotLRN framework, ILS, UM client, RS client), Alberto Bayon (CLF), Jorge Couchet (TAM), Olga C. Santos (RS server), Jorge Granado (UM server) Integration and Technical support: –Hector Romojaro, Emmanuelle Raffenne

Proposal

Demo

Components involved OpenACS/dotLRN open source Learning Management System extended with additional developments OpenACS/dotLRN core features dotLRN extrasaDeNu developments available User managementGrail (IMS-LD player)Learning Styles Inventory File storageAssessment (IMS-QTI)Collaborative Logical Framework Learning Object RepositoryRatingsTracking and Audit Module CalendarRecommender System ForumsUser Model ChatIMS-QTI + S&O SurveysLD Planner Others under development

Adaptation along the eLearning Life Cycle Authoring/Design UsageAuditing/Feedback Publication IMS-LD Definition of the script by the teacher (with predefined adaptations) Translation of the script into an eLearning platform Offering predefined and on the fly adaptations Observations of users interactions Observations of users interactions Feedback to modify the script

Adaptation along the eLearning Life Cycle Authoring/Design UsageAuditing/Feedback Teacher Create course contents Stand-alone: PDF, HTML, TXT, AVI, … Packaged: SCORM, IMS-CP, LAMS, … Define and configure activities Individual, Collaboration (free, CSCL), Evaluation Manage predefined adaptation User features Control information for adaptation Control tracking information Replaning (in terms of IMS-LD level B properties & conditions) Publication

Define and Configure activities Activity on the CLF: General information: –Name of the CLF –Description of the CLF –If active for all users –Name of each phase –Starting date for the phase –Days to work to provide the user solution –Days to work to provide the consensus solution –Name of the task –Parent phase for task –If agreement solution should consider all the individual solutions –If automatic change between providing a solution and building the agreement –Number of phases –Number of tasks per each phase –Type of task –Task question –Advices to students Groups –Automatic group reorganization after each phase based on the collaboration –Maximum number of members in a group –Number of groups

User features Learning styles Interest level regarding competences in course Interaction indicators Collaboration indicators Accessibility preferences Course progress (competence level acquired)

Control information for adaptation General information: –If behaviour indicators are automatically computed, Rule to define potential moderators, Tutor can provide hints for phases and/or tasks Metrics to compute the collaboration indicators per user: –Number of the metric, Description of the metric, Type (active/pasive), Scope, Query Indicators –Name, Description, Type, Machine learning model obtained, Metrics used, Rule for training examples, Recommendations –Name, Description, Type, Indicators used to select them

Adaptation along the eLearning Life Cycle Usage Auditing/Feedback Publication System admin Assigns users (professors, learners, …) to a course space Teacher Imports an IMS-LD unit of learning (UoL) Complements the UoL Additional material (documents and links in the file storage) Review configuration of the platform services (e.g. file storage, forums, chat, …) Review the features of the CLF created (and create new ones) Review recommendations for the learners (and define new ones) Review tracking information required Can receive recommendations (manually generated or computed by the system) to improve the course Authoring/Design

Adaptation along the eLearning Life Cycle UsageAuditing/Feedback Publication Authoring/Design Teacher Follows-up learners User features: learning styles, collaboration level, accessibility preferences, … Progress information Supports learners Participates in forums Provides additional information Manages collaboration Reviews the composition of groups and the selection of the moderator Adds advices to students Receive recommendations on learners who require attention or materials that may be suitable Learner Provides information User preferences Carry out course activities Receives recommendations on what to do Predefined by the instructional designed Added by the teacher Computed by the system with artificial intelligence techniques Performs evaluation tasks Watches progress and indicators computed by the system

Adaptation along the eLearning Life Cycle Usage Auditing/Feedback Publication Teacher Watches the indicator computed (active and passive) Watches the learning paths followed by learners Thinks of better ways to improve the design Authoring/Design

Snapshots Management of information for the adaptation

Providing user info: Control Panel Demographic information Learning Styles information Accessibility Preferences

Course space

Recommendations – to browse the course

Unit of Learning in IMS-LD

Activity – Choosing the theme

Activity - CSCL Captura del CLF  Jorge C./Alberto

Recommendation - Low student

Recommendation – New student

Recommendation – Discussion with expert

Observing - Collaboration indicators Captura del CLF  Jorge C./Alberto

Observing – Activity indicators

Tracking management Captura del log del TAM  Jorge C./Alberto

Demo

Previous experience May 24-25, 2009 Week of Science in Madrid We run a Gymkhana on the CLF+TAM on dotLRN –14 teams of 4 people each participated –Activity consisted on writing collaboratively a ministory –the experience was satisfactory For us: the system run smoothly For the participants: they enjoyed!

Some photos Olga C. Santos Alberto Bayón Jorge Couchet Gymkhana participants

Demo Available at: – denu/adenu.demos/csclchallengehttp://devel.adenu.ia.uned.es/dotlrn/classes/a denu/adenu.demos/csclchallenge Includes: –dotLRN CLF + TAM + RS + UM + ILS Documents: – /file-storage/index?folder_id=60278  subir aquí /file-storage/index?folder_id=60278 Mini manual Activity description

Constrains The CLF is thought as an activity for several days (not for several minutes as in the demo) Jorge C. /Alberto COMPLETAR

Activity description –Jorge C. /Alberto  Actualizar esta info The case study presented at kshop_Challenge_on_Adaptation#The_proposed_case_ study can be translated into a Collaborative Logical Framework course as follows: kshop_Challenge_on_Adaptation#The_proposed_case_ study –Individual phase of the case study  individual and collaborative phase in the CLF –Collaborative phase in the case study  agreement phase in the CLF –The selection of the theme to work will be modeled as an independent activity from the CLF  IMS QTI –As a result of the activity, we propose to provide a consensus solution

Thank you! Contact Author Olga C. Santos