P Venkataram, ECE, IISc. M. Vasanthakumar, Multitech Software. Sunil Kumar Manvi, EC Dept, Basaveshwar Engg College, Bagalkot. Basavaraj Talwar, SJCE, Mysore. Technical Educational Institution Assessment System: A Web Based Approach
Outline ● Introduction ● Standards for Qualitative Technical Education ● Technical Education Institution Website Model ● TEIA System ● Definition ● TEIA System Procedures ● RARM ● Experiments & Results ● Conclusions
Introduction ● Technical Education ● Need for Improvement ● Need for Assessment ● Purpose of the Technical Institution Website ● Methods of Technical Education Assessment – Assessment by Expert Teams – Periodic Progress Report Submission
Objectives of TEIA ● To understand the infrastructure, faculty profiles, students background, performance and management of a technical education institution. ● To deduct the strength and weaknesses of the technical education institution. ● To provide advice to management, faculty and students of the technical education institution for improvement. ● To periodically check the performance of technical education institution.
Standards for Qualitative Technical Education ● Mission ● Planning & Assessment ● Governance ● Finance ● Faculty & Students ● Programs of Study ● Physical Resources ● Library & Information Resources ● Research/ Sponsored Projects/ Collaborations ● Institute-Institute Interaction
Technical Education Institution Model
TEIA System ● Facts Database (FDB) ● Quality Measurement Parameters Database (QMPD) ● Standard Measurements Parameters Database (SMPD)
TEIA System ● Strength of an Institution
TEIA System ● Weakness of an Institution
TEIA System ● Advice to the Management
TEIA System Procedures ● Web page Analyzer ● Mobile agents based facts collection ● Components of TEIA-System
TEIA System Procedures ● Web page Analyzer
TEIA System Procedures ● Mobile Agent based facts
TEIA System Procedures ● RARM - Realistic Abductive Reasoning Model ● Abductive inference or Abduction means “inferring the best or most plausible explanations for a given set of facts”. ● “common sense” reasoning and in expert-level problem- solving. ● making hypotheses, discriminating among them based on their plausibility. ● Hypothesis generation, updating, testing ● Hypothesize and Test Process: – Fault Evocation – Hypothesis Formation – Question Generation
TEIA System Procedures ● Deduction of Strength/ Weaknesses by RARM
Conclusions ● The importance of Assessment and Improvement in a Technical Institute cannot be overstated. ● Individual parameters such as mission, infrastructure, faculty etc. are crucial in a periodic assessment scheme. ● Strengths and Weaknesses of an Institute can be deduced from such parameters. ● Use of a trusted automated system to obtain advice in such a manner is convenient. ● TEIA-System provides a comparison standard rating of each institute and it also enables technical education in the state and country and also the major institutes in the world.