Academic Profile : Faculty

Dr S Supraja
Lecturer, School of Electrical & Electronic Engineering
Email
External Links
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
S. Supraja and A. W. H. Khong, “Quad-faceted Feature-based Graph Network for Domain-agnostic Text Classification to Enhance Learning Effectiveness,” IEEE Transactions on Computational Social Systems, vol. 11, no. 6, pp. 7500-7515, 2024.
W. Qiu, A. W. H. Khong, S. Supraja, and W. Tang, “A Dual-Mode Grade Prediction Architecture for Identifying At-Risk Students,” IEEE Transactions on Learning Technologies, vol. 17, pp. 803—814, 2023.
S. Supraja, A. W. H. Khong, and S. Tatinati, “Regularized Phrase-based Topic Model for Automatic Question Classification with Domain-agnostic Class Labels,” IEEE/ACM Transactions on Audio Speech and Language Processing, vol. 29, pp. 3604–3616, 2021.
W. Qiu, A. W. H. Khong, S. Supraja, and W. Tang, “A Dual-Mode Grade Prediction Architecture for Identifying At-Risk Students,” IEEE Transactions on Learning Technologies, vol. 17, pp. 803—814, 2023.
S. Supraja, A. W. H. Khong, and S. Tatinati, “Regularized Phrase-based Topic Model for Automatic Question Classification with Domain-agnostic Class Labels,” IEEE/ACM Transactions on Audio Speech and Language Processing, vol. 29, pp. 3604–3616, 2021.
Conference Papers
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
S. Supraja, S. Tan, F. S. Lim, B. K. Ng, S. Y. Ho, and A. W. H. Khong, “Role of instructors to enhance student experience in undergraduate makerspaces,” IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), pp. 179-184, Hong Kong, December 2022.
S. Supraja, F. S. Lim, S. Tan, S. Y. Ho, B. K. Ng, and A. W. H. Khong, “Examining student innovative behavior in undergraduate makerspace-based courses via industry-based entrepreneurial framework,” International Conference of Education, Research and Innovation (ICERI), pp. 1995-2000, Spain, November 2022.
S. Supraja, S. Tan, F. S. Lim, B. K. Ng, S. Y. Ho, and A. W. H. Khong, “Freshmen orientation program using Minecraft: Designed by students for students during the Covid-19 pandemic,” IEEE Frontiers in Education (FIE) Conference, pp. 1-9, Sweden, October 2022.
J. Li, S. Supraja, W. Qiu, and A. W. H. Khong, “Grade prediction via prior grades and text mining on course descriptions: Course outlines and intended learning outcomes,” International Conference on Educational Data Mining (EDM), pp. 446-453, United Kingdom, July 2022.
W. Qiu, S. Supraja, and A. W. H. Khong, “Toward better grade prediction via A2GP - An academic achievement inspired predictive model,” International Conference on Educational Data Mining (EDM), pp. 195-205, United Kingdom, July 2022.
S. Supraja, F. S. Lim, S. Tan, S. Y. Ho, B. K. Ng, and A. W. H. Khong, “Factors impacting students’ creativity-related self-efficacy in an undergraduate makerspace-based course,” IEEE Global Engineering Education Conference (EDUCON), pp. 514-523, Tunisia, March 2022.
S. Supraja, S. Tatinati, K. Hartman, and A. W. H. Khong, “Automatically linking digital signal processing assessment questions to key engineering learning outcomes,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 6996–7000, Canada, April 2018.
S. Supraja, K. Hartman, S. Tatinati, and A. W. H. Khong, “Toward the automatic labeling of course questions for ensuring their alignment with learning outcomes International Conference on Educational Data Mining (EDM), pp. 56–63, China, June 2017.
S. Supraja, F. S. Lim, S. Tan, S. Y. Ho, B. K. Ng, and A. W. H. Khong, “Examining student innovative behavior in undergraduate makerspace-based courses via industry-based entrepreneurial framework,” International Conference of Education, Research and Innovation (ICERI), pp. 1995-2000, Spain, November 2022.
S. Supraja, S. Tan, F. S. Lim, B. K. Ng, S. Y. Ho, and A. W. H. Khong, “Freshmen orientation program using Minecraft: Designed by students for students during the Covid-19 pandemic,” IEEE Frontiers in Education (FIE) Conference, pp. 1-9, Sweden, October 2022.
J. Li, S. Supraja, W. Qiu, and A. W. H. Khong, “Grade prediction via prior grades and text mining on course descriptions: Course outlines and intended learning outcomes,” International Conference on Educational Data Mining (EDM), pp. 446-453, United Kingdom, July 2022.
W. Qiu, S. Supraja, and A. W. H. Khong, “Toward better grade prediction via A2GP - An academic achievement inspired predictive model,” International Conference on Educational Data Mining (EDM), pp. 195-205, United Kingdom, July 2022.
S. Supraja, F. S. Lim, S. Tan, S. Y. Ho, B. K. Ng, and A. W. H. Khong, “Factors impacting students’ creativity-related self-efficacy in an undergraduate makerspace-based course,” IEEE Global Engineering Education Conference (EDUCON), pp. 514-523, Tunisia, March 2022.
S. Supraja, S. Tatinati, K. Hartman, and A. W. H. Khong, “Automatically linking digital signal processing assessment questions to key engineering learning outcomes,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 6996–7000, Canada, April 2018.
S. Supraja, K. Hartman, S. Tatinati, and A. W. H. Khong, “Toward the automatic labeling of course questions for ensuring their alignment with learning outcomes International Conference on Educational Data Mining (EDM), pp. 56–63, China, June 2017.
Opinions & Commentaries
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Teaching and Learning Webinar by Centre for Teaching, Learning and Pedagogy (CTLP): Co-Existing With AI Tools: Experiences and Reflections from the Sciences, Technology, Engineering, and Mathematics (STEM) held on 23 November 2023 --link starting from 28 minutes 12 seconds: https://entuedu.sharepoint.com/teams/TLPDWebinarSeries/_layouts/15/stream.aspx?id=%2Fteams%2FTLPDWebinarSeries%2FShared%20Documents%2F23%20Nov%202023%20%2D%20Experiences%20and%20Reflections%20from%20the%20Sciences%2C%20Technology%2C%20Engineering%2C%20and%20Mathematics%20%28STEM%29%2Emp4&nav=eyJwbGF5YmFja09wdGlvbnMiOnsic3RhcnRUaW1lSW5TZWNvbmRzIjoyOTQ5LjkwOTA1Nn19&referrer=StreamWebApp%2EWeb&referrerScenario=AddressBarCopied%2Eview
Other Research Outputs/Projects
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(UWO) Analyze NTU Student Experience Survey (SES) results
(ARISE – SSG & IAL) Skillsets Mapping for Future-Ready Seniors: Comparative Investigations within Precision Engineering Sector
(MOE-TRF) Assessing the Learning Outcomes of Makerspaces in Terms of Creativity and Innovation of Undergraduates
(CAO & CTLP) Aligning NTU courses to industry-relevant skillsets via mapping against job roles for graduating students, ontology of NTU courses
(Delta-NTU Corp Lab) SLE-RP9 - Tracing Learner's Mastery for Adaptive Learning Path Recommendation via Learning Analytics and Natural Language Processing
(Delta-NTU Corp Lab) SLE-RP2 - Assessing Learners' Competencies in Online E4E Systems via data analytics to Achieve Effectiveness in Learning
(ARISE – SSG & IAL) Skillsets Mapping for Future-Ready Seniors: Comparative Investigations within Precision Engineering Sector
(MOE-TRF) Assessing the Learning Outcomes of Makerspaces in Terms of Creativity and Innovation of Undergraduates
(CAO & CTLP) Aligning NTU courses to industry-relevant skillsets via mapping against job roles for graduating students, ontology of NTU courses
(Delta-NTU Corp Lab) SLE-RP9 - Tracing Learner's Mastery for Adaptive Learning Path Recommendation via Learning Analytics and Natural Language Processing
(Delta-NTU Corp Lab) SLE-RP2 - Assessing Learners' Competencies in Online E4E Systems via data analytics to Achieve Effectiveness in Learning
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