PhD Candidate, Macao Polytechnic University, Macau
Ka Ian Chan is an emerging researcher in Educational Technology and Educational Data Mining. Currently pursuing a Ph.D. in Computer Applied Technology at Macao Polytechnic University, Ka Ian is passionate about improving learning experiences through innovative technological applications. His research focuses on student performance visualization, gamification in language learning, and privacy-respecting educational systems. He has actively contributed to academic conferences such as TALE, ICETT, and ICEMT, earning recognition for his presentations. Ka Ian also engages in student leadership and international academic exchanges, which have enriched his cross-disciplinary insights. His collaborative projects reflect his dedication to enhancing education through data-driven approaches. With a strong background in big data, the Internet of Things, and computer education, Ka Ian continues to explore practical, scalable solutions to modern educational challenges. His commitment to education, research excellence, and technological innovation positions him as a rising scholar in the field.
Professional profile
š Education
Ka Ian Chan has pursued his entire higher education journey at Macao Polytechnic University. Currently, he is enrolled in a Doctor of Philosophy program in Computer Applied Technology (2022āPresent), where his research emphasizes educational data mining and student performance analytics. Prior to this, he completed his Master of Science in Big Data and Internet of Things (2020ā2022), equipping him with advanced skills in large-scale data processing and IoT integration in education. His undergraduate degree, Bachelor of Science in Computing with a specialization in Computer Education (2016ā2020), laid the foundation for his interests in educational technology and digital learning platforms. Through his diverse academic training, Ka Ian developed a multi-dimensional expertise that bridges educational systems with cutting-edge computational techniques. His educational path has consistently aligned with his research focus, demonstrating a long-standing commitment to leveraging technology to improve learning environments and outcomes.
š¼ Experience
Ka Ian Chan has accumulated valuable academic and professional experience centered on education and technology. Since 2022, he has been working as a Part-time Teacher, Teaching Assistant, and Public Exam Student Helper at Macao Polytechnic University, where he supports both teaching and assessment activities. His earlier roles include serving as an IT Assistant at ColĆ©gio de Santa Rosa de Lima ā SecĆ§Ć£o Chinesa (2020ā2021), where he provided technical support and educational IT services. During his undergraduate studies, he completed an internship as a Computer Teacher at Macau Kung Luen Vocational & Technical Middle School (2019ā2020), contributing to the delivery of computing courses. Beyond formal roles, Ka Ian has been actively involved in student organizations, including serving as a Management Member of the FCA Student Union. His experience reflects a strong blend of teaching, technical expertise, and leadership within educational settings, all closely tied to his research interests.
š Awards and Honors
Ka Ian Chan has been recognized with multiple prestigious awards throughout his academic journey. In 2022, he received the Best Oral Presentation Award at the International Conference on Education and Multimedia Technology (ICEMT), acknowledging the quality and impact of his research on student learning performance. He won the Gold Award at the 24th Moscow International Salon of Inventions and Innovative Technologies Ā«ARCHIMEDESĀ» in 2021 for his inventive contributions. His innovative mindset was also rewarded with a Third Prize in the 6th China International College Studentsā āInternet+ā Innovation and Entrepreneurship Competition in 2020. Furthermore, between 2018 and 2020, he consistently secured First Prize and Practical Value Awards at the Pan-Pearl River Delta Region Universities IT Project Competition. These accolades demonstrate his ability to deliver high-quality, applicable research and showcase his leadership and excellence in educational technology innovation on both regional and international platforms.
š Research Focus
Ka Ian Chanās research is primarily focused on Educational Technology and Educational Data Mining. He investigates how data-driven approaches can enhance educational environments, with particular interest in student performance visualization, gamification in language learning, and the application of Bayesian methods to track multi-skill learning progress. His studies aim to improve parent-teacher communication through innovative tools like radar visualization and to develop privacy-respecting systems that safeguard student identities in educational settings. Ka Ian also explores how gamification strategies can motivate students, particularly in the context of language acquisition. His research bridges big data, IoT, and educational psychology, seeking practical applications that can be seamlessly integrated into schools. His interdisciplinary approach not only advances academic understanding but also offers tangible solutions for educators, learners, and policymakers. Through his work, Ka Ian is contributing to a more personalized, engaging, and efficient educational experience powered by technology and intelligent data analysis.
š Publication Top Notes
1.Title: Exploring the Factors and Moderators Influencing the Use of Radar Visualisation of Student Performance from Parents’ Perspective
Authors: Ka Ian Chan, Patrick Cheong-Iao Pang, Wei Wei
Conference: TALE 2023
Summary: This study examines the factors that influence how parents perceive and utilize radar visualization tools to monitor their children’s academic performance. The research highlights key moderators affecting user acceptance and offers insights for designing parent-friendly educational dashboards.
2.Title: A Literature Review on Educational Data Mining with Secondary School Data
Authors: Ka Ian Chan, Philip I.S. Lei, Patrick Cheong-Iao Pang
Conference: ICETT 2023
Summary: This review consolidates existing research on educational data mining focusing on secondary school datasets. It identifies trends, challenges, and gaps in current methodologies, offering a roadmap for future research in this niche domain.
3.Title: Tracing Studentsā Learning Performance on Multiple Skills using Bayesian Methods
Authors: Ka Ian Chan, Rita Tse, Philip I.S. Lei
Conference: ICEMT 2022
Summary: This award-winning paper presents a Bayesian-based approach to track and predict student learning progress across multiple skill areas. The model provides real-time feedback, improving the adaptability of learning systems to individual student needs.
4.Title: Applying Gamification in Portuguese Learning
Authors: Ka Ian Chan, Ngai Seng Chan, Su-Kit Tang, Rita Tse
Conference: ICIET 2021
Summary: This research explores the integration of gamification techniques into Portuguese language learning, demonstrating that game-based elements significantly increase student engagement and motivation.
5.Title: ReSPEcT: Privacy Respecting Thermal Based Specific Person Recognition
Authors: Ngai Seng Chan, Ka Ian Chan, Rita Tse, Su-Kit Tang, Giovanni Pau
Conference: ICDIP 2021
Summary: This study introduces a thermal-based recognition system that preserves privacy while accurately identifying specific individuals in educational and public settings.
Conclusion
Ka Ian Chan presents a strong candidacy for a Best Researcher Award at an early-career level. His consistent research output, interdisciplinary focus, recognized presentations, and emerging citation record demonstrate high potential. While building further on journal publications, international partnerships, and research funding would elevate his profile even more, his current achievements make him a competitive nominee, particularly for awards focused on promising young researchers or contributions to educational technology.