Publications
Research published at venues in AI, human-computer interaction, and learning analytics, including AAAI, CHI, LAK, AIED, and EDM.
820+citations
18h-index
28i10-index
37papers listed here
2026
- The role of LLM-powered conversational agents in supporting inquiry in a narrative-centered learning environment: A learning analytics studyN. Srivastava, M. Humburg, S. Burriss, S. Jain, C. Cohn, Y. Kim, U. Timalsina, J. Danish, C. E. Hmelo-Silver, K. Glazewski, J. Lester, G. BiswasLAK 2026
- SciStory: An AI-powered narrative-centered learning environment for scientific inquiryN. Srivastava, M. Humburg, S. Guo, U. Timalsina, M. Vickery, S. Jain, S. Burriss, J. Danish, Y. J. Kim, C. Hmelo-Silver, K. Glazewski, J. Lester, G. BiswasAIED 2026, demo
2025
- A theory of adaptive scaffolding for LLM-based pedagogical agentsC. Cohn, S. Rayala, N. Srivastava, J. H. Fonteles, S. Jain, X. Luo, D. Mereddy, N. Mohammed, G. BiswasAAAI 2025
- LLMs as educational analysts: Transforming multimodal data traces into actionable reading assessment reportsE. Davalos, Y. Zhang, N. Srivastava, J. A. Salas, S. McFadden, S.-J. Cho, G. Biswas, A. GoodwinAIED 2025
- Priming at scale: An evaluation of using AI to generate primes for mobile readersN. Srivastava, J. Healey, R. Jain, G. Liu, Y. Ma, B. Llana, D. Gašević, T. Dingler, S. WallaceCHI 2025 Extended Abstracts
- Can AI support human grading? Examining machine attention and confidence in short answer scoringY. Li, M. Raković, N. Srivastava, X. Li, Q. Guan, D. Gašević, G. ChenComputers & Education
- When and how biases seep in: Enhancing debiasing approaches for fair educational predictive analyticsL. Li, N. Srivastava, J. Rong, Q. Guan, D. Gašević, G. ChenBritish Journal of Educational Technology
- Analytics of self-regulated learning strategies and scaffolding: Associations with learning performanceT. Li, L. Yan, S. Iqbal, N. Srivastava, S. Singh, M. Raković, Z. Swiecki, Y.-S. Tsai, D. Gašević, Y. Fan, et al.Computers and Education: Artificial Intelligence
- LearnLens: An AI-enhanced dashboard to support teachers in open-ended classroomsN. Srivastava, S. Jain, C. Cohn, N. Mohammed, U. Timalsina, G. BiswasarXiv preprint
- Personalizing student-agent interactions using log-contextualized retrieval augmented generation (RAG)C. Cohn, S. Rayala, C. Snyder, J. Fonteles, S. Jain, N. Mohammed, U. Timalsina, S. K. Burriss, N. Srivastava, M. Deweese, et al.arXiv preprint
- Beyond instructed tasks: Recognizing in-the-wild reading behaviors in the classroom using eye trackingE. Davalos, J. A. Salas, Y. Zhang, N. Srivastava, Y. Thatigotla, A. Gonzales, S. McFadden, S.-J. Cho, G. Biswas, A. GoodwinarXiv preprint
- Carelessness detection using performance factor analysis: A new operationalization with unexpectedly different relationship to learningJ. Zhang, R. S. Baker, N. Srivastava, J. Ocumpaugh, C. Mills, B. M. McLarenarXiv preprint
2024
- Curriculum analytics of course choices: Links with academic performanceN. Srivastava, S. Nawaz, Y.-S. Tsai, D. GaševićJournal of Learning Analytics
- Open science and educational data mining: Which practices matter most?R. S. Baker, S. Hutt, C. A. Brooks, N. Srivastava, C. MillsEDM 2024
- Analytics of planning behaviours in self-regulated learning: Links with strategy use and prior knowledgeT. Li, Y. Fan, N. Srivastava, Z. Zeng, X. Li, H. Khosravi, Y.-S. Tsai, Z. Swiecki, D. GaševićLAK 2024
- Unveiling goods and bads: A critical analysis of machine learning predictions of standardized test performance in early childhood educationL. Li, N. Srivastava, J. Rong, G. Pianta, R. Varanasi, D. Gašević, G. ChenLAK 2024
2023
- Characteristics of deep and skim reading on smartphones vs. desktop: A comparative studyX. Chen, N. Srivastava, R. Jain, J. Healey, T. DinglerCHI 2023
- How do teachers use dashboards enhanced with data storytelling elements according to their data visualisation literacy skills?S. Pozdniakov, R. Martinez-Maldonado, Y.-S. Tsai, V. Echeverria, N. Srivastava, D. GaševićLAK 2023
- Single or multi-page learning analytics dashboards? Relationships between teachers' cognitive load and visualisation literacyS. Pozdniakov, R. Martinez-Maldonado, Y.-S. Tsai, N. Srivastava, Y. Liu, D. GaševićEC-TEL 2023
- Nuanced growth patterns of students with disabilityS. Nawaz, T. Kamei, N. SrivastavaAIED 2023, Late Breaking Results
2022
- Effects of internal and external conditions on strategies of self-regulated learning: A learning analytics studyN. Srivastava, Y. Fan, M. Raković, S. Singh, J. Jovanović, J. van der Graaf, L. Lim, S. Surendrannair, J. Kilgour, I. Molenaar, et al.LAK 2022
- How difficult is the task for you? Modelling and analysis of students' task difficulty sequences in a simulation-based POE environmentS. Nawaz, N. Srivastava, J. H. Yu, A. A. Khan, G. Kennedy, J. Bailey, R. S. BakerInternational Journal of AI in Education
- Understanding the role of AI and learning analytics techniques in addressing task difficulties in STEM educationS. Nawaz, E. A. Alghamdi, N. Srivastava, J. Lodge, L. CorrinBook chapter, Artificial Intelligence in STEM Education (CRC Press)
- VIVID: A web application for variant interpretation and visualization in multi-dimensional analysesS. Tichkule, Y. Myung, M. T. Naung, B. R. Ansell, A. J. Guy, N. Srivastava, et al.Molecular Biology and Evolution
2021
- Are you with me? Measurement of learners' video-watching attention with eye trackingN. Srivastava, S. Nawaz, J. Newn, J. Lodge, E. Velloso, S. M. Erfani, D. Gašević, J. BaileyLAK 2021
- Mitigating the effects of reading interruptions by providing reviews and previewsN. Srivastava, R. Jain, J. Healey, Z. Bylinskii, T. DinglerCHI 2021 Extended Abstracts
- GAVIN: Gaze-assisted voice-based implicit note-takingA. A. Khan, J. Newn, R. M. Kelly, N. Srivastava, J. Bailey, E. VellosoACM Transactions on Computer-Human Interaction
- Towards sensor-based learning analytics: A contactless approachN. SrivastavaPhD thesis, University of Melbourne
2020
- Exploring the usage of thermal imaging for understanding video lecture designs and students' experiencesN. Srivastava, S. Nawaz, J. M. Lodge, E. Velloso, S. Erfani, J. BaileyLAK 2020
- Faces of focus: A study on the facial cues of attentional statesE. Babaei, N. Srivastava, J. Newn, Q. Zhou, T. Dingler, E. VellosoCHI 2020
- Analysis of task difficulty sequences in a simulation-based POE environmentS. Nawaz, N. Srivastava, J. H. Yu, R. S. Baker, G. Kennedy, J. BaileyAIED 2020
2019
- Continuous evaluation of video lectures from real-time difficulty self-reportN. Srivastava, E. Velloso, J. M. Lodge, S. Erfani, J. BaileyCHI 2019
- Using contactless sensors to estimate learning difficulty in digital learning environmentsN. SrivastavaUbiComp/ISWC 2019 Adjunct
- Cognitive aid: Task assistance based on mental workload estimationQ. Zhou, J. Newn, N. Srivastava, T. Dingler, J. Goncalves, E. VellosoCHI 2019 Extended Abstracts
2018
- Combining low and mid-level gaze features for desktop activity recognitionN. Srivastava, J. Newn, E. VellosoProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
2015
- Human identification using linear multiclass SVM and eye movement biometricsN. Srivastava, U. Agrawal, S. K. Roy, U. S. TiwaryIC3 2015
2013
- Effective searching methodology for finding relevant paths between nodes using qualified bi-directional BFS algorithm on graph databaseR. Goel, N. Srivastava, H. Chandola, B. Rohilla, S. Srivastava, R. GoudarIEEE IACC 2013
For citation counts and full texts, see my Google Scholar profile.