Ramkumar Rajendran

ORCID: 0000-0002-0411-1782
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About
Contact & Profiles
Research Areas
  • Online Learning and Analytics
  • Innovative Teaching and Learning Methods
  • Intelligent Tutoring Systems and Adaptive Learning
  • Teaching and Learning Programming
  • Virtual Reality Applications and Impacts
  • Visual and Cognitive Learning Processes
  • Online and Blended Learning
  • Educational Games and Gamification
  • Educational and Psychological Assessments
  • Topic Modeling
  • Network Security and Intrusion Detection
  • Gaze Tracking and Assistive Technology
  • Experimental Learning in Engineering
  • Music and Audio Processing
  • AI in Service Interactions
  • Smart Grid Security and Resilience
  • Speech and Audio Processing
  • Time Series Analysis and Forecasting
  • Mobile Learning in Education
  • Neural Networks and Applications
  • Educational Environments and Student Outcomes
  • Hand Gesture Recognition Systems
  • Biometric Identification and Security
  • Data Stream Mining Techniques
  • FinTech, Crowdfunding, Digital Finance

Indian Institute of Technology Bombay
2011-2025

SRM Institute of Science and Technology
2025

Vanderbilt University
2018-2019

National University of Singapore
2018-2019

Integrated Software (United States)
2019

Athabasca University
2019

Goa University
2019

University of North Texas
2019

Indian Institute of Technology Indore
2013

Monash University
2012

The importance of affective states in learning has led many Intelligent Tutoring Systems (ITS) to include students' their learner models. adaptation and hence the benefits an ITS can be improved by detecting responding states. In prior work, we have created validated a theory-driven model for frustration, as well identifying its causes students interact with ITS. this paper, present strategy respond frustration offering motivational messages that address different frustration. Based on...

10.1109/tlt.2018.2807447 article EN IEEE Transactions on Learning Technologies 2018-02-19

The integration of immersive Virtual Reality (I-VR) technology in education has emerged as a promising approach for enhancing learning experiences. There is handful research done to study the impact I-VR on outcomes, comparison using and other traditional methods, values such haptic sensation, verbal non-verbal cues outcomes. However, there dearth understanding how happening from perspective behavior learners Learning Environment (VRLE). To address this gap, we developed an Interaction...

10.1109/tvcg.2025.3549899 article EN IEEE Transactions on Visualization and Computer Graphics 2025-01-01

ABSTRACT The present day economic scenario and market conditions has necessitated the importance of Science, Technology, Engineering Mathematics (STEM) education to be industry oriented interdisciplinary. This requires a rigorous curriculum coupled with pro active engagement student learners. engineering adopted modelling simulation technique for many apparent benefits including less time reduced product development costs. In such state affairs, STEM courses pertaining are quintessential....

10.1002/cae.70013 article EN Computer Applications in Engineering Education 2025-03-01

Temporality in Self-Regulated Learning (SRL) has two perspectives: one as a passage of time and the other an ordered sequence events. Each these conceptions is distinct requires independent considerations. Only single analytic method not sufficient adequately capturing both facets temporality. Yet, most research uses temporally-focused SRL research, those that use multiple methods do address aspects We propose CTAM4SRL, consolidated temporal which combines advanced data visualisation,...

10.1145/3636555.3636926 article EN other-oa 2024-03-05

The relationship between learners' cognitive and affective states has become a topic of increased interest, especially because it is an important component self-regulated learning (SRL) processes. This paper studies sixth grade students' SRL processes as they work in Betty's Brain, agent-based open-ended environment (OELE). In this environment, students learn science topics by building causal models. Our analyses combine observational data on student affect to log files interactions within...

10.1145/3209219.3209241 article EN 2018-07-03

The importance of affect in learning has led many intelligent tutoring systems (ITS) to include learners' affective states their student models. approaches used identify human observation, self-reporting, data from physical sensors, modeling states, and mining students' log files. Among these, offer the most feasible approach real-world settings, which may involve a huge number students. Systems using predict frustration have reported high accuracy, while that by not only student's state but...

10.1109/tlt.2013.31 article EN IEEE Transactions on Learning Technologies 2013-09-06

Abstract Virtual Reality (VR) is a multi-sensory technology that stimulates learning and has the potential for pedagogical applications. While researchers in VR have demonstrated several applications to support understanding STEM education, research regarding which features of leverage its infancy. The existing studies exploring how learners interact with are based on human observations or learners’ perceptions. This paper describes novel mechanism capture learner’s interaction behavior,...

10.1186/s40561-020-00143-6 article EN cc-by Smart Learning Environments 2020-10-27

There are increasing concerns that cyber attackers may inject malicious remote control commands into smart grid systems, as witnessed in the Ukraine incidents 2015 and 2016 recent <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CrashOverride</i> malware campaign. To counter such risks, command authentication mechanisms, which evaluate legitimacy validity of each based on up-to-date power status context, can be deployed near edge infrastructure...

10.1109/smartgridcomm.2018.8587604 article EN 2018-10-01

Intelligent learning environments can be designed to support the development of learners' cognitive skills, strategies, and metacognitive processes as they work on complex decision-making problem-solving tasks. However, complexity tasks may impede progress novice learners. Providing adaptive feedback learners who face difficulties requires learner modeling approaches that identify proficiencies in executing required processes. This paper discusses a multilevel hierarchical scheme analyzes...

10.1109/tlt.2019.2923352 article EN IEEE Transactions on Learning Technologies 2019-06-17

Researchers have long recognized the importance of using technology to support students' collaboration in learning and problem solving tasks. Recently, there has been a lot research capturing characterizing student discourse how they regulate each other when perform tasks pairs or small groups. In this paper, our goal is dive little deeper into students collaborate, behaviors exhibit working on by modeling task, while also teaching virtual agent Betty's Brain system. We report results...

10.1145/3274318 article EN Proceedings of the ACM on Human-Computer Interaction 2018-11-01

Mind spark is a math Intelligent Tutoring System (ITS), which provides personalized learning content, to students of grade 3 8, based on their response and performance in the topic. used more than 100 schools India as part school curriculum. In this paper, we study impact adaptive logic students' learning. We focus our research remedial module presented by when they are unable understand units have misconceptions The was conducted evaluate 199 5 from school, where use learn fractions. paper...

10.1109/t4e.2013.36 article EN 2013-12-01

Attacks from the control center or intermediate devices in SCADA communication infrastructure was outside of scope traditional power grid operation. To counter such emerging threats, which were actually witnessed Ukraine incidents 2015 and 2016, command authentication mechanisms are considered as an effective security measure. Command performs context-aware checking validity legitimacy incoming remote commands near edge cyber smart systems (e.g., at substations). While effective, order to...

10.1109/isgt-asia.2019.8881793 article EN 2019-05-01

Virtual Reality (VR) has the potential to improve learning in education domain due its characteristics such as multi-sensory stimuli, immersion, interaction, first-person perspectives, etc. In spite of these advantages, literature analysis carried out revealed that there is no explored processes happening a VR environment. The can be analyzed using data collected from interaction behavior environment (VRLE). existing collection mechanisms questionnaires, surveys, physiological sensors, and...

10.1109/icalt55010.2022.00105 article EN 2022 International Conference on Advanced Learning Technologies (ICALT) 2022-07-01
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