| Combining low and mid-level gaze features for desktop activity recognition N Srivastava, J Newn, E Velloso Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 45 | 2018 |
| Effects of internal and external conditions on strategies of self-regulated learning: A learning analytics study N Srivastava, Y Fan, M Rakovic, S Singh, J Jovanovic, J Van Der Graaf, ... LAK22: 12th international learning analytics and knowledge conference, 392-403, 2022 | 35 | 2022 |
| Are you with me? Measurement of learners’ video-watching attention with eye tracking N Srivastava, S Nawaz, J Newn, J Lodge, E Velloso, S M. Erfani, ... LAK21: 11th international learning analytics and knowledge conference, 88-98, 2021 | 26 | 2021 |
| Continuous evaluation of video lectures from real-time difficulty self-report N Srivastava, E Velloso, JM Lodge, S Erfani, J Bailey Proceedings of the 2019 CHI conference on Human factors in computing systems …, 2019 | 26 | 2019 |
| How do teachers use dashboards enhanced with data storytelling elements according to their data visualisation literacy skills? S Pozdniakov, R Martinez-Maldonado, YS Tsai, V Echeverria, ... LAK23: 13th international learning analytics and knowledge conference, 89-99, 2023 | 24 | 2023 |
| Faces of focus: A study on the facial cues of attentional states E Babaei, N Srivastava, J Newn, Q Zhou, T Dingler, E Velloso Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 23 | 2020 |
| Human identification using linear multiclass SVM and eye movement biometrics N Srivastava, U Agrawal, SK Roy, US Tiwary 2015 Eighth International Conference on Contemporary Computing (IC3), 365-369, 2015 | 18 | 2015 |
| Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences N Srivastava, S Nawaz, JM Lodge, E Velloso, S Erfani, J Bailey Proceedings of the tenth international conference on learning analytics …, 2020 | 16 | 2020 |
| How difficult is the task for you? Modelling and analysis of students' task difficulty sequences in a simulation-based POE environment S Nawaz, N Srivastava, JH Yu, AA Khan, G Kennedy, J Bailey, RS Baker International Journal of Artificial Intelligence in Education 32 (2), 233-262, 2022 | 14 | 2022 |
| Analysis of task difficulty sequences in a simulation-based POE environment S Nawaz, N Srivastava, JH Yu, RS Baker, G Kennedy, J Bailey Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 12 | 2020 |
| Single or multi-page learning analytics dashboards? Relationships between teachers’ cognitive load and visualisation literacy S Pozdniakov, R Martinez-Maldonado, YS Tsai, N Srivastava, Y Liu, ... European conference on technology enhanced learning, 339-355, 2023 | 10 | 2023 |
| Mitigating the effects of reading interruptions by providing reviews and previews N Srivastava, R Jain, J Healey, Z Bylinskii, T Dingler Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021 | 10 | 2021 |
| GAVIN: Gaze-assisted voice-based implicit note-taking AA Khan, J Newn, RM Kelly, N Srivastava, J Bailey, E Velloso ACM Transactions on Computer-Human Interaction (TOCHI) 28 (4), 1-32, 2021 | 9 | 2021 |
| Characteristics of deep and skim reading on smartphones vs. desktop: A comparative study X Chen, N Srivastava, R Jain, J Healey, T Dingler Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 8 | 2023 |
| VIVID: a web application for variant interpretation and visualization in multi-dimensional analyses S Tichkule, Y Myung, MT Naung, BRE Ansell, AJ Guy, N Srivastava, ... Molecular biology and evolution 39 (9), msac196, 2022 | 8 | 2022 |
| Using contactless sensors to estimate learning difficulty in digital learning environments N Srivastava Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 8 | 2019 |
| Cognitive aid: task assistance based on mental workload estimation Q Zhou, J Newn, N Srivastava, T Dingler, J Goncalves, E Velloso Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019 | 8 | 2019 |
| Analytics of planning behaviours in self-regulated learning: Links with strategy use and prior knowledge T Li, Y Fan, N Srivastava, Z Zeng, X Li, H Khosravi, YS Tsai, Z Swiecki, ... Proceedings of the 14th learning analytics and knowledge conference, 438-449, 2024 | 4 | 2024 |
| Curriculum Analytics of Course Choices: Links with Academic Performance. N Srivastava, S Nawaz, YS Tsai, D Gaševic Journal of Learning Analytics 11 (1), 116-131, 2024 | 4 | 2024 |
| Understanding the role of AI and learning analytics techniques in addressing task difficulties in STEM education S Nawaz, EA Alghamdi, N Srivastava, J Lodge, L Corrin Artificial intelligence in STEM education, 241-258, 2022 | 4 | 2022 |
Dragan GasevicProfessor of Learning Analytics, Monash UniversityПідтверджена електронна адреса в monash.edu
