An Intelligent E-learning system for Improving TQM Performance

1. An Intelligent E-learning system for Improving TQM Performance Hsien-Jung Wu、Shih-Chieh Huang Department of Information Science and Applications Asia University, Taiwan 12-ICIT: 01-07

2. Outline Outline 1. Introduction 2. Literature review 3. The intelligent e-learning system 4. Conclusions Wu & Huang

3. 1. Introduction TQM & Learning • TQM can improve productivity and satisfy customers as themost important goal • TQM activities in the training program can assist employees in reaching higher quality work and executing relentless improvement of routine processes • Most of the learning materials do not offer adequate flexibility for real-time assistance required improving TQM performance for employees Wu & Huang

4. Dynamic learning approaches • Offer real-time knowledge configuration during routine activities • A network platform that emphasizes on collaborative learning by teams • Dynamically dispatch learning courses to employees based on their requirement of solving quality assurance and TQM-related problems. Wu & Huang

5. 2. Literature review • E-learning systems can reduce expenses of development and provide more flexible learning in terms of time and spaces compared with traditional training methods [Rosenberg, 2001]. • Learning from colleagues grouped in a knowledge community can be an informal approach of gathering potential solution of quality problems by Web 2.0 concept • The core value of Web 2.0 is user-centered and featured by participation, sharing, distribution and free Wu & Huang

6. Literature review • Integrating knowledge management with learning activity is the current trend of building e-learning systems.[ M. Weller et al, 2005] Wu & Huang

7. Literature review • [Lin, et al., 2006] uses Blog to develop thee-learning systemof an international distance course • Blog used in an e-learning system to effectivelytrain students to solve problems by teamwork [Miettinen, et al., 2005] • Through thecharacteristic of Blog, the aim of sharing experience is reached within a knowledge community Wu & Huang

8. Literature review • Not only quality issues can be embedded in an e-learning system, it also required to build an e-learning system with quality first • SCORM standard to reduce the time and cost of development through the concept of reusability, accessibility, interoperability and durability • ISO/IEC 19796-1 [ISO, 2005] provides an overall framework which can be used for introducing quality approaches in all providers and users organizations of e-learning Wu & Huang

9. 3. The intelligent e-learning system project learning Wu & Huang

10. 3.1 Employee’sroleretrieval andidentification • Retrieve and identify employee’s role based on job level and access right. Input: work level, access rights, agent’srights Output: role type Function: identify employee’s role Link: project requirement retrieval and identification Wu & Huang

11. 3.2 project requirement retrieval and identification Input: role type Output: employee’s project requirement type Function: retrieve and identify employee’s project requirement Link: employee’s learning profile ; predict learning requirement • Retrieve and identify employee’s project requirement related to quality problems Wu & Huang

12. 3.3 predict learning requirement • Automatically predict employee’s learning requirement Input: project requirement type Output: learning requirement items Function: Predicting learning requirement by project requirement type Link: Dynamically configured learning course Wu & Huang

13. 3.4 Dynamically configured learning course • Configure dynamic learning objects Input: learning requirement items. Output: automatic course generation Function: dynamic learning objects by learning requirement items Link: Required course’s source, content, format; Tutor’s advice for the course Wu & Huang

14. 3.5 Suggest learning course • Employee select learning courses Input: automatic course generation Output: Suggest learning course Function: system & tutor’s advice for the course Link: employee’s Graphical User Interface ; predict learning requirement Wu & Huang

15. project learning course Wu & Huang

16. Collaborative learning e-learning system collaborative learning Wu & Huang

17. Experience sharing Wu & Huang

18. Quality assurance activity The quality assurance activity includes the following procedures: 1. define learning goal and anticipatory quality problems 2. plan related QA activity 3. design courses in accordance with QA activity 4. control the QA activity 5. analyze feedback of QA activity 6. review and improve QA activity and workflow 7. update new learning goal and courses design 8. complete QA e-learning Wu & Huang

19. QA fish-bone Wu & Huang

20. 4. Conclusions This research aims at proposing an intelligent e-learning system (IELS) referred to the framework described in ISO/IEC 19796-1 and integrates on-job training with quality assurance and TQM activity. The contribution of this paper is: • to dynamically configure learning objects based on the employee’s requirement related to quality issues • to integrate Blog tool as a collaborative learning environment and construct a knowledge community where experiences of executing TQM activity are shared • to embed quality assurance in workflow through the e-learning system Wu & Huang

21. Advantages and suggestions of the learning Blog Wu & Huang