Assoc. Prof. Koen Smit

HU University of Applied Sciences Utrecht, Netherlands

Koen Smit is an associate professor at the HU University of Applied Sciences Utrecht, in the Netherlands. He obtained his PhD in Computer Science in 2018 at the Open Universiteit. He is responsible for the bachelor software development and supervises a research group focused on Digital Innovations for Public Organizations, part of the Digital Ethics research chair. His research primarily focuses on the combination of Business Process Management, Business Rules Management, Decision Management, Process Mining, Decision Mining, Digital Twin technology, and Social Robotics. His interest also leans towards how said technological innovations can be designed and implemented in such a way that human and public values are explicitly and adequately considered. He regularly reviews and/or publishes and presents his research contributions at conferences and journals (e.g., HICSS, ICIS, PACIS, AMCIS, PJAIS, JITTA, and BPM).

Senior Lecturer YIP, Kim-fung (Frankie)

The Chinese University of Hong Kong, China

YIP, Kim-fung (Frankie) received his M.Phil. and B.Eng. degrees from The Chinese University of Hong Kong, where he currently serves as a senior lecturer. Over the years, he has been recognized with six consecutive Departmental Teaching Awards from the Electronic Engineering Department, as well as two Dean's Exemplary Teaching Awards from the Faculty of Engineering at CUHK.
As a co-founder of two startups, Frankie has successfully secured funding from the Hong Kong Science & Technology Parks Corporation and the Pi Centre at CUHK. His research interests focus on leveraging regenerative AI to enhance teaching quality for both educators and students. Additionally, he aims to improve customer service efficiency through innovative software solutions and develop e-business strategies that streamline workflows across various sectors and industries.

Title: Cost-Effective Knowledge Delivery Strategies: Leveraging the Topic Guidance Enquiry Framework for Organizational Success in Paid Course Offerings and Training

Abstract: In the competitive landscape of offering paid courses or training programs, optimizing knowledge delivery systems is crucial for enhancing user engagement and operational efficiency. This research introduces the Topic Guidance Enquiry Framework (TGEF), which utilizes Natural Language Processing (NLP) to autonomously generate relevant questions from both public and internal knowledge sources.

By continuously engaging users with targeted inquiries, our framework not only assesses understanding but also corrects misconceptions in real time. This adaptive framework ensures that learners receive personalized feedback after their answers are evaluated, providing them with a knowledge level score that reflects their comprehension of the course content. For business centers offering paid courses, implementing the TGEF can significantly increase the value provided to users, leading to improved satisfaction and retention rates.

Moreover, the system's efficiency in delivering tailored training content allows organizations to reduce costs associated with traditional in-house training methods. By minimizing the need for extensive instructional resources and enabling self-directed learning, organizations can allocate financial resources more effectively. This not only enhances the quality of training but also generates potential revenue growth through expanded course offerings and improved learner outcomes.
We will present the design and implementation of the TGEF, supported by case studies that demonstrate its effectiveness in increasing user value and driving cost-saving measures in internal training programs. This research aims to elevate the standards of knowledge delivery in the paid course and training sector, ultimately fostering a more skilled and adaptable workforce.