Dr LAM, Wai Man Winnie   林惠民
Senior Lecturer II
Department of Mathematics and Information Technology
Phone No: (852) 2948 8521
Email: winnielam@eduhk.hk
Contact
ORCiD
0000-0002-2613-0175
Phone
(852) 2948 8521
Email
winnielam@eduhk.hk
Scopus ID
57205196506
Research Interest

Her research interests focus on bioinformatics, data mining, e-learning, and information retrieval. She has published several journals including IEEE Transactions on NanoBioscience, IEEE Transactions on Biomedical Engineering, Journal of Bioinformatics and Computational Biology, etc. and conferences including IEEE BIBM, IEEE BIBE, IEEE GrC, BIOTECHNO, ICEL, ICEEL, etc.

Teaching Interest

Data mining, Programming, Software Engineering, Computer Organization, Digital Citizenship, STEM education, etc.

Professional Profile

Dr Winnie LAM is a dedicated information technology (IT) educator and data scientist who has demonstrated a strong passion for teaching and exemplary performance. Her research interests are machine learning, AI, and robotics in education. Her teaching philosophy – CITA (Collaboration, Innovation, Technology and Authenticity) – constitutes the basic building blocks of effective teamwork, active learning, technological needs, and real-life practice. Her enthusiastic teaching practices have helped nurture students with different backgrounds and facilitate effective learning, especially during the pandemic.
Building on her background as an educator and researcher, she has supported her students’ needs by developing a personalized online evidence-based learning and assessment platform, called GMoodle (https://gmoodle.eduhk.hk), which embodies the features of CITA to promote collaborative learning and extend teaching capacity with AI. She has received positive feedback from her students regarding her enthusiastic and innovative teaching methods, and the outcomes have been disseminated in publications and recognised by overseas scholars.
Dr Lam has treasured the opportunities to contribute to the university and has collaborated with various teaching teams and educational organizations to maximize the benefits to foster student learning. She is the Principal Investigator of two Teaching Development Grant (TDG) projects and three Small Grant for Teaching Staff (SGT) projects, which aim to promote collaborative learning, enhance learning support, and incorporate tech tools at the higher education, secondary and primary levels. She also joined the Early Childhood STEM & Maker Education project and a Central Reserve Allocation Committee (CRAC) project promoting AI literacy and AI in education in early childhood and higher education. Her persistent efforts in education have been recognized with awards (a Silver Medal and a Special Inventor Award) in the International Invention Innovation Competition in Canada (iCAN) in 2019 and the FLASS Teaching Award in 2020.
Dr Lam is also the Subject Coordinator of the BEd (Secondary) – Information and Communication Technology programme. She is responsible for the programme and curriculum design, and for including up-to-date knowledge and promoting social awareness in an authentic context. She always welcomes students to discuss their learning difficulties and future development. She provides quality teaching to foster student success and provide personalised self-directed learning recommendations in her area of expertise.
Dr Winnie LAM is a dedicated information technology (IT) educator and data scientist who has demonstrated a strong passion for teaching and exemplary performance. Her research interests are machine learning, AI, and robotics in education. Her teaching philosophy – CITA (Collaboration, Innovation, Technology and Authenticity) – constitutes the basic building blocks of effective teamwork, active learning, technological needs, and real-life practice. Her enthusiastic teaching practices have helped nurture students with different backgrounds and facilitate effective learning, especially during the pandemic.
Building on her background as an educator and researcher, she has supported her students’ needs by developing a personalized online evidence-based learning and assessment platform, called GMoodle (https://gmoodle.eduhk.hk), which embodies the features of CITA to promote collaborative learning and extend teaching capacity with AI. She has received positive feedback from her students regarding her enthusiastic and innovative teaching methods, and the outcomes have been disseminated in publications and recognised by overseas scholars.

Dr Lam has treasured the opportunities to contribute to the university and has collaborated with various teaching teams and educational organizations to maximize the benefits to foster student learning. She is the Principal Investigator of two Teaching Development Grant (TDG) projects and three Small Grant for Teaching Staff (SGT) projects, which aim to promote collaborative learning, enhance learning support, and incorporate tech tools at the higher education, secondary and primary levels. She also joined the Early Childhood STEM & Maker Education project and a Central Reserve Allocation Committee (CRAC) project promoting AI literacy and AI in education in early childhood and higher education. Her persistent efforts in education have been recognized with awards (a Silver Medal and a Special Inventor Award) in the International Invention Innovation Competition in Canada (iCAN) in 2019 and the FLASS Teaching Award in 2020.

Dr Lam is also the Subject Coordinator of the BEd (Secondary) – Information and Communication Technology programme. She is responsible for the programme and curriculum design, and for including up-to-date knowledge and promoting social awareness in an authentic context. She always welcomes students to discuss their learning difficulties and future development. She provides quality teaching to foster student success and provide personalised self-directed learning recommendations in her area of expertise.

Research Interest

Her research interests focus on bioinformatics, data mining, e-learning, and information retrieval. She has published several journals including IEEE Transactions on NanoBioscience, IEEE Transactions on Biomedical Engineering, Journal of Bioinformatics and Computational Biology, etc. and conferences including IEEE BIBM, IEEE BIBE, IEEE GrC, BIOTECHNO, ICEL, ICEEL, etc.

Teaching Interest

Data mining, Programming, Software Engineering, Computer Organization, Digital Citizenship, STEM education, etc.

Selected Output

Conference Papers
Winnie W. M. Lam, Dennis Y. W. Liu and Kevin W. H. Yung (2020, November). Providing Personalized Learning Support with AI Chatbot. International Conference on Education and Artificial Intelligence 2020, Hong Kong.
Dennis Y. W. Liu, Alven C. Y. Leung, Man Ho Au, Xiapu Luo, Pit Ho Patrio Chiu, Siu Wo Tarloff Im & Winnie W. M. Lam (2019, December). Virtual Laboratory: Facilitating Teaching and Learning in Cybersecurity for Students with Diverse Disciplines. 2019 IEEE International Conference on Engineering, Technology and Education (TALE 2019), Yogyakarta, Indonesia.
Naomi H. L. Lee & Winnie W. M. Lam (2019, December). Autonomous Transport System Explained with Lego Mindstorms EV3. 2019 International Conference on Advances in STEM Education, Hong Kong.
Winnie W. M. Lam, Haoran Xie, Dennis Y. W. Liu & Kevin W. H. Yung (2019, November). Investigating Online Collaborative Learning on Students’ Learning Outcomes in Higher Education. The 3rd International Conference on Education and E-Learning (ICEEL 2019), Barcelona, Spain.
Winnie W. M. Lam, Dennis Y. W. Liu & Issac K. H. Lo (2019, August). An Online Evidence-based Assessment System to Promote Collaborative Learning in Tertiary Education. Paper presented at 2019 International Conference on Education and Learning (ICEL), Osaka, Japan.
Winnie W. M. Lam, Rebecca W. Y. Lee & Regina W. S. Sit (2019, June). Using Data Mining to Investigate Correlation between Traditional Chinese Medicine Body Constitution and Postnatal Problems. The Eleventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies (BIOTECHNO 2019), Athens, Greece.
Dennis Y. W. Liu, Chi Tsiu Tong & Winnie W. M. Lam (2018, August). Performance Analysis of Searchable Symmetric Encryption Schemes on Mobile Devices. 12th International Conference on Network and System Security, Hong Kong.

Project

Early Childhood Education STEM and Maker Education
This pilot project aims at promoting age-appropriate and authentic STEM learning experiences in early childhood settings through co-developing 24 sets of STEM teaching packages with early childhood teachers. This project aim at building up children’s STEM awareness, knowledge and skills through STEM-rich maker learning experience. 12 pilot project schools will be invited to join this project, including kindergartens and child care centres (both half-day & whole-day service). Children in the proj . . .
Project Start Year: 2020, Principal Investigator(s): LEE, Chi Kin John 李子建 (LAM, Wai Man Winnie 林惠民 as Co-Investigator)
 
Using AI Chatbot as Intelligent Tutor to provide Personalized Feedback and Enhance Learning Support
To provide an adaptive learning environment, we proposed to use Artificial Intelligence (AI) chatbot to provide personalized feedback to students to meet their diverse needs. One-on-one individualized tutoring can help to provide specific study tips to enhance students’ learning performance and experience if timely feedback can be received, but it is difficult to be employed in large class size or intensive courses. Using chatbots to create intelligent tutors is a potential solution. Students ca . . .
Project Start Year: 2020, Principal Investigator(s): LAM, Wai Man Winnie 林惠民
 
Application of Multi-Functional Robotics and Autonomous Technology in STEM Education
Technology-driven design of autonomous robotics has become more popular in STEM education recent years. Students can design, build and program robots to improve self-optimization, self-configuration and intelligent support to bring real-world scenarios to life. In this project, students can experience the implementation of two scenarios with multi-functional robotics and learn simple programming to accomplish practical tasks with digital technologies.
Project Start Year: 2019, Principal Investigator(s): LAM, Wai Man Winnie 林惠民
 
Designing and Developing Artificial Intelligence (AI) Teaching Packages for Junior Secondary Students
This project covers joint efforts to bring up the new generation of AI talent in our society. By designing and developing AI teaching packages for secondary students, we will actively engage in future educational activities by encouraging the young generation to explore AI and improve their literacy level, which includes the positive and ethical use of AI, as well as the limitations and risks.
Project Start Year: 2019, Principal Investigator(s): SO, Chi Fuk Henry 蘇賜福 (LAM, Wai Man Winnie 林惠民 as Co-Investigator)
 
A Study of Online Evidence-based Assessment System to Promote Collaborative and Cooperative Learning in Group Activities
Many courses involve group projects and/or activities to let students to collaborate and work together to solve problems. However, it is not easy to ensure all students are actively contributed and collaborate with each other to complete the project. As teachers usually collect the final outcome and mark it as a whole, it is difficult to assess the group project fairly within a group if the workload is unevenly distributed. In this project, we proposed to use “An Online Evidence-based Assessment . . .
Project Start Year: 2018, Principal Investigator(s): LAM, Wai Man Winnie 林惠民
 
Coding As Learning with Robots in Hong Kong Primary Schools
QEF Project: This project aims to explore how to develop pupils’ coding knowledge and skills as well as learning through coding activities in Hong Kong primary schools. Objectives: (i) to develop primary school pupils’ coding knowledge and skills through coding activities; (ii) to explore the pedagogy and assessment strategies in coding activities in Hong Kong primary schools; (iii) to provide exemplars of good experience of coding education in Hong Kong primary school environments.
Project Start Year: 2018, Principal Investigator(s): LAI, Yiu Chi 黎耀志 (LAM, Wai Man Winnie 林惠民 as Co-Investigator)
 
Integrate interactive learning into Primary Mathematics Curriculum with Micro:bit
The main focus of this project is to develop three interactive teaching packs with Micro:bit for Primary Mathematics Curriculum on 1) Number Strand, 2) Measures Strand and 3) Shape and Space Strand. Teachers can use the teaching packs to provide an interactive and innovative learning experience to students. We are going to train pre-service teachers how to use our teaching packs to strengthen different Mathematics concepts, write basic blockly coding and connect different computer hardware compo . . .
Project Start Year: 2018, Principal Investigator(s): LAM, Wai Man Winnie 林惠民