Namrata Srivastava

According to our database, Namrata Srivastava authored at least 33 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 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, Gautam Biswas

CoRR, May, 2025

Carelessness Detection using Performance Factor Analysis: A New Operationalization with Unexpectedly Different Relationship to Learning.

Jiayi Zhang, Ryan S. Baker, Namrata Srivastava, Jaclyn Ocumpaugh, Caitlin Mills, Bruce M. McLaren

CoRR, March, 2025

Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking.

Eduardo Davalos, Jorge Alberto Salas, Yike Zhang, Namrata Srivastava, Yashvitha Thatigotla, Abbey Gonzales, Sara McFadden, Sun-Joo Cho, Gautam Biswas, Amanda Goodwin

CoRR, January, 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

Can AI support human grading? Examining machine attention and confidence in short answer scoring.

Yuheng Li, Mladen Rakovic, Namrata Srivastava, Xinyu Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen

Comput. Educ., 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

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

LLMs as Educational Analysts: Transforming Multimodal Data Traces Into Actionable Reading Assessment Reports.

Eduardo Davalos, Yike Zhang, Namrata Srivastava, Jorge Alberto Salas, Sara McFadden, Sun-Joo Cho, Gautam Biswas, Amanda Goodwin

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Curriculum Analytics of Course Choices:: Links with Academic Performance.

Namrata Srivastava, Sadia Nawaz, Yi-Shan Tsai, Dragan Gasevic

J. Learn. Anal., 2024

Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education.

Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen

Proceedings of the 14th Learning Analytics and Knowledge Conference, 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

Proceedings of the Proceeding of the 32nd International Conference on Computers in Education, 2024

GazeViz: A Web-Based Approach for Visualizing Learner Gaze Patterns in Online Educational Environment.

Eduardo Davalos, Namrata Srivastava, Yike Zhang, Amanda Goodwin, Gautam Biswas

Proceedings of the Proceeding of the 32nd International Conference on Computers in Education, 2024

Same Learning Platform, Different Types of Research: A National-Level Analysis.

Nidhi Nasiar, Ryan S. Baker, Juliana Ma. Alexandra L. Andres, Namrata Srivastava

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Open Science and Educational Data Mining: Which Practices Matter Most?

Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Generative Primes and Summaries for Reading in Distractive Environments.

Tilman Dingler, Namrata Srivastava, Shaun Wallace

Proceedings of the MuM'23 Workshops on Making a Real Connection and Interruptions and Attention Management co-located with 22nd International Conference on Mobile and Ubiquitous Media (MuM 2023), 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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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

Proceedings of the Responsive and Sustainable Educational Futures, 2023

Characteristics of Deep and Skim Reading on Smartphones vs. Desktop: A Comparative Study.

Xiuge Chen, Namrata Srivastava, Rajiv Jain, Jennifer Healey, Tilman Dingler

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Nuanced Growth Patterns of Students with Disability.

Sadia Nawaz, Toshiko Kamei, Namrata Srivastava

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

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, Ryan Shaun Baker

Int. J. Artif. Intell. Educ., 2022

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, Joep van der Graaf, Lyn Lim, Surya Surendrannair, Jonathan Kilgour, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

2021

GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking.

Anam Ahmad Khan, Joshua Newn, Ryan M. Kelly, Namrata Srivastava, James Bailey, Eduardo Velloso

ACM Trans. Comput. Hum. Interact., 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

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews.

Namrata Srivastava, Rajiv Jain, Jennifer Healey, Zoya Bylinskii, Tilman Dingler

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Towards Sensor-based Learning Analytics: A Contactless Approach.

Namrata Srivastava

PhD thesis, 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

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 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

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment.

Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Ryan S. Baker, Gregor E. Kennedy, James Bailey

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Using contactless sensors to estimate learning difficulty in digital learning environments.

Namrata Srivastava

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Cognitive Aid: Task Assistance Based On Mental Workload Estimation.

Qiushi Zhou, Joshua Newn, Namrata Srivastava, Tilman Dingler, Jorge Gonçalves, Eduardo Velloso

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report.

Namrata Srivastava, Eduardo Velloso, Jason M. Lodge, Sarah M. Erfani, James Bailey

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

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

2015

Human identification using Linear Multiclass SVM and Eye Movement biometrics.

Namrata Srivastava, Utkarsh Agrawal, Soumava Kumar Roy, Uma Shanker Tiwary

Proceedings of the Eighth International Conference on Contemporary Computing, 2015