Human identification using Linear Multiclass SVM and Eye Movement biometrics. - Namrata Srivastava; Utkarsh Agrawal; Soumava Kumar Roy; Uma Shanker Tiwary (IC3, 2015)

Combining Low and Mid-Level Gaze Features for Desktop Activity Recognition. - Namrata Srivastava; Joshua Newn; Eduardo Velloso (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. - Namrata Srivastava; Eduardo Velloso; Jason M. Lodge; Sarah M. Erfani; James Bailey 001 (CHI, 2019)

Cognitive Aid: Task Assistance Based On Mental Workload Estimation. - Qiushi Zhou; Joshua Newn; Namrata Srivastava; Tilman Dingler; Jorge Gonçalves 001; Eduardo Velloso (CHI Extended Abstracts, 2019)

Using contactless sensors to estimate learning difficulty in digital learning environments. - Namrata Srivastava (UbiComp/ISWC Adjunct, 2019)

Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment. - Sadia Nawaz; Namrata Srivastava; Ji Hyun Yu; Ryan S. Baker 001; Gregor E. Kennedy; James Bailey 001 (AIED (1), 2020)

Faces of Focus: A Study on the Facial Cues of Attentional States. - Ebrahim Babaei; Namrata Srivastava; Joshua Newn; Qiushi Zhou; Tilman Dingler; Eduardo Velloso (CHI, 2020)

Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. - Namrata Srivastava; Sadia Nawaz; Jason M. Lodge; Eduardo Velloso; Sarah M. Erfani; James Bailey 001 (LAK, 2020)

Towards Sensor-based Learning Analytics: A Contactless Approach. - Namrata Srivastava (2020)

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews. - Namrata Srivastava; Rajiv Jain; Jennifer Healey; Zoya Bylinskii; Tilman Dingler (CHI Extended Abstracts, 2021)

Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. - Namrata Srivastava; Sadia Nawaz; Joshua Newn; Jason M. Lodge; Eduardo Velloso; Sarah M. Erfani; Dragan Gasevic; James Bailey 001 (LAK, 2021)

GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking. - Anam Ahmad Khan; Joshua Newn; Ryan M. Kelly 001; Namrata Srivastava; James Bailey 001; Eduardo Velloso (ACM Trans. Comput. Hum. Interact., 2021)

Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study. - Namrata Srivastava; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Jelena Jovanovic 001; Joep van der Graaf; Lyn Lim; Surya Surendrannair; Jonathan Kilgour; Inge Molenaar; Maria Bannert; Johanna D. Moore; et al. (LAK, 2022)

How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment. - Sadia Nawaz; Namrata Srivastava; Ji Hyun Yu; Anam Ahmad Khan; Gregor E. Kennedy; James Bailey 001; Ryan Shaun Baker (Int. J. Artif. Intell. Educ., 2022)

Nuanced Growth Patterns of Students with Disability. - Sadia Nawaz; Toshiko Kamei; Namrata Srivastava (AIED (Posters/Late Breaking Results/...), 2023)

Characteristics of Deep and Skim Reading on Smartphones vs. Desktop: A Comparative Study. - Xiuge Chen; Namrata Srivastava; Rajiv Jain; Jennifer Healey; Tilman Dingler (CHI, 2023)

Single or Multi-page Learning Analytics Dashboards? Relationships Between Teachers' Cognitive Load and Visualisation Literacy. - Stanislav Pozdniakov; Roberto Martínez Maldonado; Yi-Shan Tsai; Namrata Srivastava; Yuchen Liu; Dragan Gasevic (EC-TEL, 2023)

How Do Teachers Use Dashboards Enhanced with Data Storytelling Elements According to their Data Visualisation Literacy Skills? - Stanislav Pozdniakov; Roberto Martínez Maldonado; Yi-Shan Tsai; Vanessa Echeverría; Namrata Srivastava; Dragan Gasevic (LAK, 2023)

Generative Primes and Summaries for Reading in Distractive Environments. - Tilman Dingler; Namrata Srivastava; Shaun Wallace (MUM Workshops, 2023)

Open Science and Educational Data Mining: Which Practices Matter Most? - Ryan Shaun Baker; Stephen Hutt; Christopher A. Brooks 001; Namrata Srivastava; Caitlin Mills 001 (EDM, 2024)

Same Learning Platform, Different Types of Research: A National-Level Analysis. - Nidhi Nasiar; Ryan S. Baker 001; Juliana Ma. Alexandra L. Andres; Namrata Srivastava (EDM, 2024)

GazeViz: A Web-Based Approach for Visualizing Learner Gaze Patterns in Online Educational Environment. - Eduardo Davalos; Namrata Srivastava; Yike Zhang 001; Amanda Goodwin; Gautam Biswas (ICCE, 2024)

Designing an AI-Enhanced Timeline for Monitoring Multimodal Interactions in Embodied Learning Environments. - Joyce Horn Fonteles; Namrata Srivastava; Eduardo Davalos; Ashwin T. S.; Gautam Biswas (ICCE, 2024)

Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. - Lin Li 039; Namrata Srivastava; Jia Rong; Gina Pianta; Raju Varanasi; Dragan Gasevic; Guanliang Chen (LAK, 2024)

Curriculum Analytics of Course Choices:: Links with Academic Performance. - Namrata Srivastava; Sadia Nawaz; Yi-Shan Tsai; Dragan Gasevic (J. Learn. Anal., 2024)

LLMs as Educational Analysts: Transforming Multimodal Data Traces Into Actionable Reading Assessment Reports. - Eduardo Davalos; Yike Zhang 001; Namrata Srivastava; Jorge Alberto Salas; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin (AIED (2), 2025)

Priming at Scale: An Evaluation of Using AI to Generate Primes for Mobile Readers. - Namrata Srivastava; Jennifer Healey; Rajiv Jain; Guanli Liu; Ying Ma; Borano Llana; Dragan Gasevic; Tilman Dingler; Shaun Wallace (CHI Extended Abstracts, 2025)

Can AI support human grading? Examining machine attention and confidence in short answer scoring. - Yuheng Li; Mladen Rakovic; Namrata Srivastava; Xinyu Li 004; Quanlong Guan; Dragan Gasevic; Guanliang Chen (Comput. Educ., 2025)

A learning analytics dashboard to support students' reflection on collaboration. - Vanessa Echeverría; Gloria Fernández-Nieto; Linxuan Zhao; Evelyn Palominos; Namrata Srivastava; Dragan Gasevic; Viktoria Pammer-Schindler; Roberto Martínez-Maldonado (J. Comput. Assist. Learn., 2025)

Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking. - Eduardo Davalos; Jorge Alberto Salas; Yike Zhang 001; Namrata Srivastava; Yashvitha Thatigotla; Abbey Gonzales; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin (CoRR, 2025)

Carelessness Detection using Performance Factor Analysis: A New Operationalization with Unexpectedly Different Relationship to Learning. - Jiayi Zhang 004; Ryan S. Baker 001; Namrata Srivastava; Jaclyn Ocumpaugh; Caitlin Mills 001; Bruce M. McLaren (CoRR, 2025)

Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG). - Clayton Cohn; Surya Rayala; Caitlin Snyder; Joyce Horn Fonteles; Shruti Jain; Naveeduddin Mohammed; Umesh Timalsina; Sarah K. Burriss; Ashwin T. S.; Namrata Srivastava; Menton M. Deweese; Angela Eeds; et al. (CoRR, 2025)

A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents. - Clayton Cohn; Surya Rayala; Namrata Srivastava; Joyce Horn Fonteles; Shruti Jain; Xinying Luo; Divya Mereddy; Naveeduddin Mohammed; Gautam Biswas (CoRR, 2025)