Centre for Learning, Teaching and Technology (LTTC)

Research output

Research output per year 1998 2022 2023 2024 2025

• 127 Chapters
• 105 Articles
• 60 Papers
• 24 Other contributions
• 10 More
  • 5 Books
  • 5 Teaching Development Grants (TDG)

Research output per year

Research output per year

Search results

• 2025

  Efficient shortest time query in public transportation networks

  ZHAO, Y., XU, S., LI, J., YANG, Y., ZHANG, J. & CHEN, C., 2025, Advanced data mining and applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part III. Singapore: Springer, p. 338-353

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Public Transportation Network 100%
  • Departure Time 75%
  • Query Efficiency 50%
  • Efficient Query 25%
  • Minimum Travel Time 25%

• Enhancing spatiotemporal prediction with intra- and inter-granularity contrastive learning

  HAN, Q., SUI, S., LU, D., WU, S. & XU, G., 2025, Database systems for advanced applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part II. ONIZUKA, M., LEE, J.-G., TONG, Y., XIAO, C., ISHIKAWA, Y., AMER-YAHIA, S., JAGADISH, H. V. & LU, K. (eds.). Singapore: Springer, p. 195-210

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Spatio-temporal Prediction 100%
  • Semantic Hypergraph 12%
  • Dual Hypergraph 12%
  • Order Dependency 9%

• Graph Neural Patching for Cold-Start Recommendations

  CHEN, H., YANG, Y., BEI, Y., WANG, Z., XU, Y. & HUANG, F., 2025, Databases theory and applications: 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, and Tokyo, Japan, December 16–18, 2024, Proceedings. CHEN, T., CAO, Y., NGUYEN, Q. V. H. & NGUYEN, T. T. (eds.). Singapore: Springer, p. 334-346

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Cold-start Recommendation 100%
  • Signal Modeling 33%
  • Hybrid Model 16%
  1 Citation (Scopus)

• ResGAT: Embedding adjacent connectivity of brain regions from fMRI for accurate Parkinson’s Disease recognition

  LI, S., YANG, Y., LV, Y., XIA, J. & WANG, X., 2025, Advanced data mining and applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part IV. Singapore: Springer, p. 94-108

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Functional Magnetic Resonance Imaging 100%
  • Parkinson's Disease 100%
  • Brain Areas 20%
  • Neural Network 20%
  • Brain Network 20%

• Tri-modality collaborative learning for person re-identification

  DENG, S., YANG, Q., YANG, Z., CHEN, D., YANG, Y. & WANG, H., 2025, Databases theory and applications: 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, and Tokyo, Japan, December 16–18, 2024, Proceedings. CHEN, T., CAO, Y., NGUYEN, Q. V. H. & NGUYEN, T. T. (eds.). Singapore: Springer, p. 322-333

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Person Re-identification 100%
  • Trimodality 100%
  • Person Re-Identification 100%
  • Collaborative Learning Model 60%
  • Grayscale Image 40%
• 2024

  Affective-NLI: Towards accurate and interpretable personality recognition in conversation

  WEN, Z., CAO, J., YANG, Y., YANG, R. & LIU, S., 2024, Proceedings of 2024 IEEE International Conference on Pervasive Computing and Communications, PerCom 2024. USA: IEEE, p. 184-193

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Personality Recognition 100%
  • Natural Language Inference 100%
  • Dialog Content 100%
  • Interpretability 100%
  • Recognition Result 50%
  3 Citations (Scopus)

• Cascading hypergraph convolution networks for multi-behavior sequential recommendation

  LU, D., ZHANG, H., LI, L., WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

• CrimeAlarm: Towards intensive intent dynamics in fine-grained crime prediction

  HU, K., LI, L., XIE, Q., TAO, X. & XU, G., 2024, Proceedings of Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024. ONIZUKA, M., LEE, J.-G., TONG, Y., XIAO, C., ISHIKAWA, Y., AMER-YAHIA, S., JAGADISH, H. V. & LU, K. (eds.). Singapore: Springer, p. 104-120

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Crime Prediction 100%
  • Criminal Act 100%
  • Output Probability 100%
  • Confidence Sequence 50%
  • Prediction Network 25%

• Does label smoothing help deep partial label learning?

  GONG, X., BISHT, N. & XU, G., 2024, Proceedings of the 41st International Conference on Machine Learning. ML Research Press, Vol. 235. p. 15823-15838

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Label Smoothing 100%
  • Phase Locked Loop 50%
  • Classification Learning 50%
  • Optimal Smoothing 28%
  • Label Ambiguity 14%

• Enhancing traffic prediction via spatial multi-granularity co-evolving mechanism

  SUI, S., HAN, Q., LU, D., WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Evolving Mechanism 100%
  • Traffic Prediction 100%
  • Data Granularity 25%
  • Planning Scenarios 25%
  • Traffic Dynamics 25%

• Exclusion Vis: A visual interactive system for exclusion analysis in life insurance using machine learning techniques

  ISLAM, M. R., THAO, L. N. T., PROME, S. A., SAKIB, M. K. H., SANIN, C., XU, G. & HUANG, W., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Machine Learning Technique 100%
  • Interactive System 100%
  • Random Decision Forest 16%
  • Information Disclosure 16%
  • Support Vector 16%

• Fairness-aware mutual information for multimodal recommendation

  LU, D., CHEN, X., CHEN, R., WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Mutual Information 100%
  • Sensitive Informations 100%
  • Multimodal Recommendation 100%
  • Multimodal Embedding 66%
  • Non-sensitive 66%

• Graph neural networks for vulnerability detection: A counterfactual explanation

  CHU, Z., WAN, Y., LI, Q., WU, Y., ZHANG, H., SUI, Y., XU, G. & JIN, H., 2024, Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024. New York: Association for Computing Machinery, p. 389-401

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Vulnerability Detection 100%
  • Codes on Graphs 33%
  • Minimal Perturbation 16%
  • Code Embedding 16%
  4 Citations (Scopus)

• Graph reasoning transformers for knowledge-aware question answering

  ZHAO, R., ZHAO, F., HU, L. & XU, G., 2024, Proceedings of The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24). USA: AAAI press, p. 19652-19660

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Level Diagrams 100%
  • Modality Discrepancy 100%
  • Cross-modal Information Fusion 100%
  • State-of-the-art Knowledge 50%
  • Graph Features 50%
  3 Citations (Scopus)

• Investigating learning behaviors and intervention effectiveness of students with special educational needs

  LI, X., YANG, Y., CAO, J., YANG, Z.-Q., WANG, K. & NG, V. T. Y., 2024, Blended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings. MA, W. W. K., LI, C., FAN, C. W., U, L. H. & LU, A. (eds.). Singapore: Springer, p. 262-272

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Learning Behavior 100%
  • Learning Intervention 100%
  • Students with Special Educational Needs 100%
  • Intervention Effectiveness 100%
  • Special Educational Needs 100%

• KG-CoT: Chain-of-thought prompting of large language models over knowledge graphs for knowledge-aware question answering

  ZHAO, R., ZHAO, F., WANG, L., WANG, X. & XU, G., 2024, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24). International Joint Conferences on Artificial Intelligence, p. 6642-6650

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Chain-of-Thought 100%
  • Reasoning Model 14%
  • Reasoning LLM 14%
  • Model-based Reasoning 12%
  • Graph Reasoning 12%

• Learning influential relationships for implicit influence maximization in unknown networks

  WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Influence Maximization 100%
  • Influence Maximization Problem 100%
  • Unknown Network 100%
  • Influence Probability 75%
  • Probability Estimator 50%

• Leveraging artificial intelligence for affordable and clean energy: Advancing UN Sustainable Development Goal 7

  HANNA, B., XU, G., WANG, X. & HOSSAIN, J., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Artificial Intelligence 100%
  • Optimization Model 100%
  • Grid Stability 33%
  • Transport Electrification 33%
  • Renewable Energy Forecasting 33%

• Modeling behavior change for multi-model at-risk students early prediction

  CHENG, J., YANG, Z.-Q., CAO, J., YANG, Y., POON, K. C. F. & LAI, D., 2024, Proceedings of 2024 International Symposium on Educational Technology, ISET 2024. USA: IEEE, p. 54-58

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Behavior Change 100%
  • Multi-model 100%
  • Students At-risk 100%
  • Early Prediction 100%
  • Modeling Behavior 100%
  1 Citation (Scopus)

• Speech emotion recognition using Mel spectrogram HPCA and variational mode decomposition

  RUDD, D. H., GAO, X., ISLAM, M. R., HUO, H. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Variational Mode Decomposition 100%
  • Harmonics 100%
  • Acoustic Feature 50%
  • Robust Classification 25%
  • Acoustic Feature Extraction 25%

• STS2ANet: Spatio-temporal synchronized sliding attention network for accurate cross-day origin-destination prediction

  WANG, H., XIA, J., YANG, Y., WANG, S. & CAO, J., 2024, Database systems for advanced applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part I. ONIZUKA, M., LEE, J.-G., TONG, Y., XIAO, C., ISHIKAWA, Y., AMER-YAHIA, S., JAGADISH, H. V. & LU, K. (eds.). Singapore: Springer, p. 186-202

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Divergence 100%
  • Spatiotemporal 100%
  • Traffic Flow 100%
  • Attention Network 100%
  • Origin-destination Estimation 100%

• Toward structure fairness in dynamic graph embedding: A trend-aware dual debiasing approach

  LI, Y., YANG, Y., CAO, J., LIU, S., TANG, H. & XU, G., 25 Aug 2024, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024. New York, United States: Association for Computing Machinery, p. 1701-1712

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  Open Access

  • Dynamic Graph Embedding 100%
  • Evolution 100%
  • Power Law 100%
  • Evolutionary Term 100%
  • Embedding Performance 66%

• Understanding impacts of electromagnetic signal injection attacks on object detection

  ZHANG, Y., YANG, C., FU, Y. E., JIANG, Q., YAN, C., CHAU, S.-Y., NGAI, G., LEONG, H.-V., LUO, X. & XU, W., 2024, (E-pub ahead of print) Proceeding of 2024 IEEE International Conference on Multimedia and Expo, ICME 2024. New York, USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Signal Injection Attack 100%
  • Electromagnetic Signal 100%
  • Image Sensor 50%
  • Noisy-OR 50%
  • Electromagnetic Interference 50%
• 2023

  Birds of a feather purchase together: Accurate social network inference using transaction data

  SHEN, J., HE, Y., LONG, Y., WEN, J., WANG, Y. & YANG, Y., 2023, Proceedings of 23rd IEEE International Conference on Data Mining Workshops, ICDMW 2023. USA: IEEE, p. 1380-1389

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Social Networks 100%
  • Transaction Data 100%
  • Network Inference 100%
  • Social Network 100%
  • Domain Knowledge 100%

• Churn prediction via multimodal fusion learning: Integrating customer financial literacy, voice, and behavioral data

  RUDD, D. H., HUO, H., ISLAM, M. R. & XU, G., 2023, Proceedings of The 10th International Conference on Behavioural and Social Computing (BESC-2023). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Financial Literacy 100%
  • Behavioral Data 100%
  • Multimodal Fusion 100%
  • Prediction Model 40%
  • Financial Data 40%

• DiffUFlow: Robust fine-grained urban flow inference with denoising diffusion model

  ZHENG, Y., ZHONG, L., WANG, S., YANG, Y., GU, W., ZHANG, J. & WANG, J., 2023, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023. New York: Association for Computing Machinery, p. 3505-3513

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Urban Flow 100%
  • Denoising Diffusion Models 100%
  • Urban Flow Inference 100%
  • Diffusion Model 100%
  • Semantic Feature 100%
  5 Citations (Scopus)

• Domain adaptive pre-trained model for mushroom image classification

  SHEN, Y., LI, Z., YANG, Y. & SHEN, J., 2023, Advanced data mining and applications: 19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part IV. YANG, X., SUHARTANTO, H., WANG, G., WANG, B., JIANG, J., LI, B., ZHU, H. & CUI, N. (eds.). Cham: Springer, p. 284-296

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Training Model 100%
  • Image Classification 100%
  • Domain Adaptive 100%
  • Image Recognition 100%
  • Pre-Trained Model 100%

• Heterogeneity-aware cross-school electives recommendation: A hybrid federated approach

  JU, C., CAO, J., YANG, Y., YANG, Z.-Q. & LEE, H. M., 2023, Proceedings of 23rd IEEE International Conference on Data Mining Workshops, ICDMW 2023. USA: IEEE, p. 1500-1508

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Federated Approach 100%
  • Heterogeneity-aware 100%
  • Recommender Systems 100%
  • Elective Courses 100%
  • Elective Course 66%
  1 Citation (Scopus)

• MultiMediate 2023: Engagement level detection using audio and video features

  YANG, C., WANG, K., CHEN, P. Q., CHEUNG, M. M., ZHANG, Y., FU, Y. E. & NGAI, G., 2023, Proceedings of the 31st ACM International Conference on Multimedia, MM '23. USA: Association for Computing Machinery, p. 9601-9605

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Concordance Correlation Coefficient 100%
  • Engagement Detection 100%
  • Effective Modeling 100%
  • User Engagement 100%
  • Grand Challenge 100%
  7 Citations (Scopus)

• Nurturing artificial intelligence literacy in students with diverse cultural backgrounds

  KONG, S. C., KORTE, S.-M. & CHEUNG, M. Y. W., 2023, Innovative technologies and learning: 6th International Conference, ICITL 2023, Porto, Portugal, August 28–30, 2023, proceedings. HUANG, Y.-M. & ROCHA, T. (eds.). Cham: Springer, p. 13-21

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Nurture 100%
  • Diverse Cultural Backgrounds 100%
  • Artificial Intelligence Literacy 100%
  • Cultural Background 100%
  • Artificial Intelligence 100%
  1 Citation (Scopus)

• Unveiling subtle cues: Backchannel detection using temporal multimodal attention networks

  WANG, K., CHEUNG, M. M., ZHANG, Y., YANG, C., CHEN, P. Q., FU, Y. E. & NGAI, G., 2023, Proceedings of the 31st ACM International Conference on Multimedia, MM '23. USA: Association for Computing Machinery, p. 9586-9590

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Attention (Machine Learning) 100%
  • Automatic Detection 100%
  • Backchannel Detection 100%
  • Backchannel 33%
  1 Citation (Scopus)

• Using self-regulated digital storytelling in primary students’ English learning: An exploratory factor analysis

  MA, Y. T., KONG, S. C. & SUN, D., 2023, Proceedings of 31st International Conference on Computers in Education, ICCE 2023. Taiwan: Asia-Pacific Society for Computers in Education, Vol. I. p. 779-788

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Primary Students 100%
  • English Learning 100%
  • Exploratory Factor Analysis 100%
  • Digital Storytelling 100%
  • Language Instruction 100%

• Weakly-supervised multi-action offline reinforcement learning for intelligent dosing of epilepsy in children

  LI, Z., SHEN, Y., XU, R., YANG, Y., CAO, J., WU, L. & WU, Q., 2023, Database systems for advanced applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part IV. WANG, X., SAPINO, M. L., HAN, W.-S., EL ABBADI, A., DOBBIE, G., FENG, Z., SHAO, Y. & YIN, H. (eds.). Cham: Springer, p. 208-223

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Unsupervised Learning 100%
  • Offline Reinforcement Learning 100%
  • Epilepsy in children 100%
  • Multi-action 100%
  • Learning Model 100%
• 2022

  A pedagogy in STEM classrooms for primary students to develop knowledge of electric circuits and problem-solving skills

  KONG, S. C. & KWOK, W. Y., 2022, Proceedings of the 30th International Conference on Computers in Education, ICCE 2022. Taiwan: Asia-Pacific Society for Computers in Education, Vol. 1. p. 666-674

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Primary Students 100%
  • Pedagogy 100%
  • Problem-solving Skills 100%
  • Electric Circuit 100%
  • STEM Classroom 100%
  1 Citation (Scopus)

• Blockchain-based solutions for humanitarian supply chain management

  HANNA, B., XU, G., WANG, X. & HOSSAIN, J., 2022, Proceedings of 28th Americas Conference on Information Systems, AMCIS 2022. USA: Association for Information Systems

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

• Computational thinking development: Validating an instrument for self-regulated learning using animation

  KONG, S. C., HU, Y. & LAI, M., 2022, Proceedings of the 30th International Conference on Computers in Education, ICCE 2022. Taiwan: Asia-Pacific Society for Computers in Education, Vol. 1. p. 675-680

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Thinking Development 100%
  • Self-regulated Learning 100%
  • Computational Thinking 100%
  • Factor Analysis 100%
  • Self-Reflection 100%
  2 Citations (Scopus)

• e-Learning in teacher education in Hong Kong and Beijing in the digital era

  KONG, S. C., HUANG, R. & KWOK, W. Y., 2022, Quality in teacher education and professional development: Chinese and German perspectives. LEE, J.C.-K. & EHMKE, T. (eds.). Abingdon, Oxon: Routledge, p. 94-106

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Hong Kong 100%
  • Teacher Education 100%
  • Electronic Learning 100%
  • Digital Age 100%
  • e-Learning 100%
  1 Citation (Scopus)

• Identifying key learning factors in service-leaning programs using machine learning

  WANG, K., FU, Y. E., NGAI, G. & LEONG, H. V., 2022, Proceedings of 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022. USA: IEEE, p. 1312-1317

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Learning Factor 100%
  • Machine Learning 100%
  • Learning System 100%
  • Learning Outcome 100%
  • Learning Experiences 66%

• Introduction to computational thinking education in K-12

  KONG, S. C., ABELSON, H. & KWOK, W. Y., 2022, Computational thinking education in K–12: Artificial intelligence literacy and physical computing. KONG, S.-C. & ABELSON, H. (eds.). Cambridge, Massachusetts: The MIT Press, p. 1-12

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  Open Access

• The effectiveness of a teacher development course on artificial intelligence teaching empowerment

  KONG, S. C., LAI, M. & CHEUNG, H. T. D., Aug 2022, Conference Proceedings (English Paper) of the 26th Global Chinese Conference on Computers in Education (GCCCE 2022). LIN, C.-P., WANG, Y.-H., JIANG, B., SHIH, J.-L., KONG, S. C. & GU, X. (eds.). Taiwan: Global Chinese Conference on Computers in Education, p. 45-52

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Teacher Development 100%
  • Development Course 100%
  • Artificial Intelligence 100%
  • Artificial Intelligence Teaching 100%
  • Teacher Professional Development 100%
  1 Citation (Scopus)

• Using digital storytelling on scratch to support primary school EFL/ESL students’ writing: A self-regulated learning approach

  MA, Y. T., KONG, S. C. & SUN, D., 2022, Proceedings of the 30th International Conference on Computers in Education, ICCE 2022. Taiwan: Asia-Pacific Society for Computers in Education, Vol. 2. p. 714-718

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Primary School 100%
  • ESL Students 100%
  • Student Writing 100%
  • Learning Approaches 100%
  • Self-regulated Learning 100%
  1 Citation (Scopus)

• Who are the leaders? A discussion on distributed leadership to promote interdisciplinary STEM education in primary schools

  MA, Y. T. & SUN, D., Aug 2022, Conference Proceedings (English Paper) of the 26th Global Chinese Conference on Computers in Education (GCCCE 2022). LIN, C.-P., WANG, Y.-H., JIANG, B., SHIH, J.-L., KONG, S. C. & GU, X. (eds.). Taiwan: Global Chinese Conference on Computers in Education, p. 17-20

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Primary School 100%
  • Distributed Leadership 100%
  • Interdisciplinary STEM Education 100%
  • Primary Schools 100%
  • Science, Technology, Engineering and Mathematics 100%
• 2021

  A conceptual framework for designing artificial intelligence literacy programmes for educated citizens

  KONG, S. C. & ZHANG, G., 2021, Conference proceedings (English paper) of the 25th Global Chinese Conference on Computers in Education (GCCCE 2021). KONG, S. C., WANG, Q., HUANG, R., LI, Y. & HSU, T.-C. (eds.). Hong Kong: Centre for Learning, Teaching and Technology, The Education University of Hong Kong, p. 11-15

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Literacy Programmes 100%
  • Artificial Intelligence Literacy 100%
  • Conceptual Framework 100%
  • Artificial Intelligence 100%
  • Digital Age 40%
  16 Citations (Scopus)

• Analysing reachable and unreachable codes in app inventor programs for supporting the assessment of computational thinking concepts

  KONG, S. C., POON, C. W. & LIU, B., Nov 2021, Proceedings of 29th International Conference on Computers in Education Conference. RODRIGO, M. M. T., IYER, S. & MITROVIC, A. (eds.). Taiwan: Asia-Pacific Society for Computers in Education, Vol. I. p. 285-290

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Computational Concepts 100%
  • App Inventor 100%
  • Unreachable Code 100%
  • Computational Thinking 100%
  • Asia-Pacific 100%

• Predicting flashover occurrence using surrogate temperature data

  FU, Y. E., TAM, W. C., WANG, J., PEACOCK, R., RENEKE, P. A., NGAI, G., LEONG, H. V. & CLEARY, T., 2021, Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). AAAI press, p. 14785-14794

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Temperature Data 100%
  • Flashover 100%
  • Fire Fighters 100%
  • Simulation Program 66%
  • Fighter Aircraft 57%
  7 Citations (Scopus)

• Using motion histories for eye contact detection in multiperson group conversations

  FU, Y. E. & NGAI, M. W., 2021, Proceedings of the 29th ACM International Conference on Multimedia, MM '21. USA: Association for Computing Machinery, p. 4873-4877

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Motion History 100%
  • Eye Detection 100%
  • Multi-person 100%
  • Conversation Group 100%
  • Motion History Image 20%
  12 Citations (Scopus)
• 2020

  BigARM: A big-data-driven airport resource management engine and application tools

  WONG, K. H., CAO, J., YANG, Y., LI, W., WANG, J., YAO, Z., XU, S., KU, E. A. C., WONG, C. O. & LEUNG, D., 2020, Database systems for advanced applications: 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part III. NAH, Y., CUI, B., LEE, S.-W., YU, J. X., MOON, Y.-S. & WHANG, S. E. (eds.). Cham: Springer, p. 741-744

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Airport Management 100%
  • Big Data-driven 100%
  • Big Data 100%
  • Application Tool 100%
  • Baggage 42%
  1 Citation (Scopus)

• Development of computational thinking concepts in scratch programming

  KONG, S. C., LAI, M. & SIU, K. Y. C., 23 Nov 2020, ICCE 2020 - 28th International Conference on Computers in Education Conference proceedings. SO, H.-J., RODRIGO, M. M., MASON, J. & MITROVIC, A. (eds.). Taoyuan County: Asia-Pacific Society for Computers in Education, Vol. I. p. 652-657

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Computational Concepts 100%
  • Scratch Programming 100%
  • Story-Telling 100%
  • Mixed Methods 100%
  • Concept Development 100%
  1 Citation (Scopus)

• Development of mathematical concepts on linear functions using a technology-supported platform: With potential for flipped classroom strategy implementation

  KONG, S. C. & KWOK, W. Y., Sept 2020, Proceedings of The 24th Global Chinese Conference on Computers in Education (GCCCE 2020). WONG, L. H., CHENG, H., LIN, C.-P., HUANG, R., GUO, S. & GUO, J. (eds.). Taiwan: Global Chinese Society for Computers in Education, p. 690-697

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Technology Support 100%
  • Mathematical Concepts 100%
  • Flipped Classroom Strategy 100%
  • Strategy Implementation 100%
  • Linear Function 100%

• EPARS: Early prediction of at-risk students with online and offline learning behaviors

  YANG, Y., WEN, Z., CAO, J., SHEN, J., YIN, H. & ZHOU, X., 2020, Database systems for advanced applications: 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part II. NAH, Y., CUI, B., LEE, S.-W., YU, J. X., MOON, Y.-S. & WHANG, S. E. (eds.). Cham: Springer, p. 3-19

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Learning Behavior 100%
  • Online Learning 100%
  • Students At-risk 100%
  • Early Prediction 100%
  • Offline Learning 100%
  5 Citations (Scopus)