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Evaluation of learners progress in an Intelligent e-Learning System

Sisteme Inteligente si Colaborative de Instruire pe Web "POLITEHNICA" University of Bucharest Department of Control & Computers 9 Decembrie, 2003. Evaluation of learners progress in an Intelligent e-Learning System. Paul Dan CRISTEA “Politehnica” University of Bucharest

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Evaluation of learners progress in an Intelligent e-Learning System

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  1. Sisteme Inteligente si Colaborative de Instruire pe Web "POLITEHNICA" University of BucharestDepartment of Control & Computers9 Decembrie, 2003 Evaluation of learners progress in an Intelligent e-Learning System Paul Dan CRISTEA “Politehnica” University of Bucharest Spl. Independentei 313, 77206 Bucharest, Romania, Phone: +40 - 21- 411 44 37, Fax: +40 - 21- 410 44 14 e-mail: pcristea@dsp.pub.ro

  2. SOCRATES - MINERVA PROJECT 87574-CP-1-2000-1-RO-MINERVA-ODL Artificial Intelligence and Neural Network Tools for Innovative ODL Coordinator : “Politehnica” University of Bucharest

  3. Partners • Vrije Universiteit Brussels, BE Prof. Jan Cornelis, Vice-RectorProf.Edgard Nyssen, Prof. Rudi Deklerck • Universität Erlangen-Nürenberg • Prof. Manfred Kessler, Director Institute für Physiologie und Kardiologie • Université de la Rochelle, FR • Prof. Michel Eboueya, Assistant Director of Information and Industrial Imaging Lab. • Universidade Nova de Lisboa, PT • Prof. Adolfo Steiger Garcao, President of UNINOVA • Prof. Jose Manuel Fonseca • University of Edinburgh, UK • Dr. Judy Hardy,Applications Consultant at EPCC • Dr. Mario Antonioletti • Patras University, GR • Prof. Nicolas Pallikarakis, Coordinator of BioMedical Engineering Scool • Res. Cristian Badea • &Equant Romania, RO • Dr. Pavel Budiu, Strategy Manager

  4. Objectives Main goal: develop and use a set of innovative ODL tools for on-line and Internet-based learning, using the methods and techniques of artificial intelligence and neural networks. - O1. Provide a model of the collaborative learning process involving human and artificial intelligent agents; O2. Provide a set of tools based on AI&NN techniques to develop innovative ODL systems; O3. Carry out pilot implementations of ODL systems; O4. Develop a methodology for intelligent ODL production and performance evaluation; O5. Evaluate and disseminate the outcomes of the project for future developments.

  5. Contractual Time Table

  6. Workpackages and Responsabilities WP0: Project Management, Monitoring and Reporting (PMMR)PUB +PMG WP1: Collaborative Learning Model (CLM)ULR + PUB + UP WP2: Learner’s Profile Eliciting Tool (LPET)EPCC+ PUB+ GOC WP3: Automatic Tutoring Tool (ATT)UNL + ULR + PUB + VUB WP4: Learner’s Personal Assistant (LPA)PUB + UNL + UEN + GOC WP5: ODL courses on Bio-Medical Data Processing and Visualisation (BMDPV) using the new AI&NN tools BMDPV – M1:Medical visualisationUEN + PUB + VUB BMDPV – M2: Cortical brain anatomyVUB + PUB + UP + UEN WP6: Elaboration of Instructions, Guidelines, and Examples of integrating the AI&NN tools with existent ODL materials (IGE) UP + UPB + EPCC + all WP7: Testing, evaluation, assessment and dissemination (TEAD) of AI&NN toolsfor innovative ODLPUB + all

  7. System Architecture

  8. Learner Profile Eliciting Tool Learner’s Profile Eliciting Tool Control Module Communication Module Student input Registration form Questionnaires Learning Modalities Student Tracking Tool Learning Objectives Knowledge Watch Content Management Self Testing • Curricular study for a diploma • Complementary study • Executive up-dating • Specialist up-dating • Problem centered • Test oriented • Preferredly / • Predominantly: • Descriptive • Demo • Analytical details • Practical aspects • Examples • Multimedia / Text ? Material to study 1 First Chapter xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 1.1 Section 1.1 xxxxxxxxxxxxxxxxxxxxxxxxxxx 1.1.1. Paragraph xxxxxxxxxxxxxxxxxxxxxX 1.1.2. Paragraph xxxxxxxxxxxxxxxxxxxxxX 1.1.3. Paragraph xxxxxxxxxxxxxxxxxxxxxX 1.2 Section 1.2 xxxxxxxxxxxxxxxxxxxxxxxxxx 1.2.1. Paragraph xxxxxxxxxxxxxxxxxxxxxx 1.2.2. Paragraph xxxxxxxxxxxxxxxxxxxxxX 1.2.3. Paragraph xxxxxxxxxxxxxxxxxxxxxX 1.3 Section 1.3 xxxxxxxxxxxxxxxxxxxxxxxxxxx 1.3.1. Paragraph xxxxxxxxxxxxxxxxxxxxxx 1.3.2. Paragraph xxxxxxxxxxxxxxxxxxxxxx 1.3.3. Paragraph xxxxxxxxxxxxxxxxxxxxxx 2 Second Chapter xxxxxxxxxxxxxxxxxxxxxxxxxxxx 2.1 Section 2.1 xxxxxxxxxxxxxxxxxxxxxxxxxxx 2.1.1. Paragraph xxxxxxxxxxxxxxxxxxxxxx 2.1.2. Paragraph xxxxxxxxxxxxxxxxxxxxxX 2.1.3. Paragraph xxxxxxxxxxxxxxxxxxxxxx ………………………………… Studied material 1 First Chapter xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 1.1 Section 1.1 xxxxxxxxxxxxxxxxxxxxxxxxxx 1.1.1. Paragraph xxxxxxxxxxxxxxxxxxxxxxxxxxxxx 1.1.2. Paragraph xxxxxxxxxxxxxxxxxxxxx 1.1.3. Paragraph xxxxxxxxxxxxxxxxxxxx 1.2 Section 1.2 xxxxxxxxxxxxxxxxxxxxxxxxxx 1.2.1. Paragraph xxxxxxxxxxxxxxxxxxxx 1.2.2. Paragraphxxxxxxxxxxxxxxxxxxxxx 1.2.3. Paragraph xxxxxxxxxxxxxxxxxxxxx 1.3 Section 1.3 xxxxxxxxxxxxxxxxxxxxxxxxxx 1.3.1. Paragraph xxxxxxxxxxxxxxxxxxxx 1.3.2. Paragraph xxxxxxxxxxxxxxxxxxxxx 1.3.3. Paragraph xxxxxxxxxxxxxxxxxxxx 2 Second Chapter xxxxxxxxxxxxxxxxxxxxxxxxxxx 2.1 Section 2.1 xxxxxxxxxxxxxxxxxxxxxxxxxx 2.1.1. Paragraph xxxxxxxxxxxxxxxxxxxxx 2.1.2. Paragraphxxxxxxxxxxxxxxxxxxxxx 2.1.3. Paragraph xxxxxxxxxxxxxxxxxxxxx ………………………………… Tutor input On-line students monitoring Validation of students proposals Mandatory Testing Contribution to Collaborative Learning Standard Path Recommended Path

  9. Platform Web server: Tomcat 4.1.29 - http://jakarta.apache.org/tomcat DB server: MySQL 3.2x - http://www.mysql.com/ Scripts tool: Apache ANT - http://ant.apache.org/ Versioning server: CVS - http://www.cvshome.org/, http://www.wincvs.org/

  10. New user – first sign in Learner Tutor Admin Actors and modules

  11. - the set of selected options at question Q. Correct choices  positive points, Wrong answers  negative points. Assigning negative points to wrong choices discourages guessing. Learning appraisal Sum of points for a question Q Points acknowledged for question Q T(Q) - the threshold for the acceptance of the reply to Q

  12. Sum of points for a learning item LI C (LI) – the children of LI. The points obtained for LI are transferred upwards Points acknowledged for a learning item LI T(LI) - threshold A(LI) - award for the successful completion of the study of LI

  13. Status of the learning item LI 0 – pending, 1 – studied, Down-propagation of the acquired knowledge confirmation

  14. Points obtained for choices C from the set of options O(Q) pertinent to a certain question Q are recorded at the LI to which the question is attached and transferred upwards.

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