|2014||Journal||R Raman, K Achuthan, P Nedungadi, S Diwakar, R Bose, The VLAB OER experience: Modeling potential-adopter students’ acceptance, IEEE Transactions on Education, (in press)
Virtual Labs (VLAB) is a multi-institutional OER (Open Educational Resources) initiative, exclusively focused on lab experiments for engineering education. This project envisages building a large OER repository, containing over 1650 virtual experiments mapped to the engineering curriculum. The introduction of VLAB is a paradigm shift in an educational system that is slow to change. Treating VLAB OER as an educational technology innovation, its adoption by potential-adopter engineering students (N=131) is modeled based on Roger’s theory of perceived attributes. Regression and factor analysis were used to analyze the data. Results indicate that the attributes of Compatibility, Ease of Use, Relative Advantage and Trialability significantly influence potential-adopter students’ intention to adopt an innovation like VLAB. The study also observed that using OER (such as VLAB) on desktops and low cost tablets had similar effects in student performance to using physical labs. This has interesting implications for education policy makers who are looking to reduce the digital divide.
Index Terms: Experiments, OER, simulation, tablets, virtual lab
|2014||Conference||Nedungadi P; Remya R; "Predicting Students' Performance on Intelligent Tutoring System - Personalized Clustered BKT (PC-BKT) Model" ; 44th ASEE/IEEE Frontiers in Education Conference (IEEE Xplore, accepted)|
|2014||Conference||Bhaskar J, Sruthi, Nedungadi P; "Enhanced Sentiment Analysis of Informal Textual Communication in Social Media By Considering Objective Words and Intensifiers" IEEE International Conference On Recent Advances and Innovations in Engineering, (IEEE Xplore, in press)|
|2014||Conference||Nedungadi P, Jayakumar A, Raman R; Low Cost Tablet enhanced Pedagogy for Early Grade Reading: Indian Context; IEEE Region 10 Humanitarian Technology Conference 2014(IEEE Xplore)|
|2014||Conference||Manoj P, Bharat J, Krishnashee A, Raman R; Preparing Global Engineers, Academia-Industry led approach: Indian experience; 44th ASEE/IEEE Frontiers in Education Conference (IEEE Xplore)|
|2014||Conference||Krishnashee A, Raman R, Maneesha R, Sasikumar P; Internationalizing Engineering Education With Phased Study Programs: India-European Experience; 44th ASEE/IEEE Frontiers in Education Conference (IEEE Xplore)|
|2014||Conference||Nedungadi P, Haripriya H, A high performing Hybrid Algorithm for Text Classification, Fifth International Conference on the Applications of Digital Information and Web Technologies , IEEE Xplore|
|2014||Journal||Diwakar S, Parasuram H, Medini C, Raman R, Nedungadi P et. al, Complementing Neurophysiology Education for Developing Countries via Cost-Effective Virtual Labs, Journal of Undergraduate Neuroscience Education, JUNE|
|2014||Conference||Raman R, Lal Athira, Achuthan K, Serious Games based approach to cyber security concept learning: Indian context, International Conference on Green Computing, Communication and Electrical Energy, IEEE Xplore|
|2014||Conference||Raman R, Sunny S, Pavithran V, Achuthan K, Framework for evaluating Capture The Flag (CTF) security competitions IEEE International conferences for Convergence of Technology, IEEE Xplore|
|2014||Conference||Anusha J, Smrithi V, Sivakumar P, A Machine Learning Approach to Cluster the Users of Stack Overflow Forum, International Conference on Artificial Intelligence & Evolutionary Algorithms in Engineering, IEEE Xplore|
|2014||Conference||Raman R, Vachhrajani H, Shivdas A, Nedungadi P, Low Cost Tablets as disruptive educational innovation ; Modeling its diffusion within Indian K12 system, IEEE USA Innovations in Technology Conference|
|2014||Conference||Raman R, Vachhrajani H, Modeling diffusion of programming contests, Implications for undergraduate CS education, IEEE International Technology Management Conference|
|2014||Conference||Nedungadi P, Harsha R, Unsupervised Word Sense Disambiguation for Automatic Essay Scoring, Smart Innovation, Systems and Technologies, Springer series|
|2014||Conference||Nedungadi P, Remya MS, A scalable Feature Selection Algorithm for large datasets - Quick Branch & Bound Iterative, Smart Innovation, Systems and Technologies, Springer series|
|2014||Conference||Diwakar S, Parasuram H, Medini C, Raman R, Nedungadi P, Wiertelak E, Srivastava S, Achuthan K, Nair B, Complementing Neurophysiology Education for Developing Countries via Cost-Effective Virtual Labs: Case Studies and Classroom Scenarios, The Journal of Undergraduate Neuroscience Education (JUNE), Spring 2014 (in press)|
|2014||Conference||R Raman, P Nedungadi, M Ramesh, Modeling diffusion of tabletop for collaborative learning using interactive science lab simulations”, ICDCIT 2014, Springer Lecture Notes in Computer Science (LNCS)
Within the context of Roger’s Diffusion of Innovation theory we propose a pedagogical framework for attributes that can significantly affect student adoption of collaborative learning environment like multi-user, multi-touch tabletop. We investigated the learning outcomes of secondary school students in India collaboratively using OLabs on a tabletop (EG1 = 30) vs. individually using at desktops (EG2 = 92). We analyzed the nature of communication, touch and non-touch gesture actions, position around the tabletop, focus group interviews, and pre and post test scores. Using Bass model the study also accounts for the inter influence of related group of potential adopter teachers who are likely to exert positive influence on students. The results revealed that learning outcomes on tabletop are strongly associated with innovation attributes like Relative Advantage, Compatibility, Ease of Use, Perceived Enjoyment, Perceived usefulness and Teachers support. Overall students expressed much more positive attitude to adopt tabletop technology for learning vs. desktop. We find that the mean group performance gain is significant with collaboration using tabletop and significantly greater than the group using desktops. We also find that the group interactions with the tabletop area significant factor that contributes to the group's average performance gain. However, the total time spent in while using the tabletop is surprisingly not a significant factor in the performance gain. Our findings contribute to the design of new pedagogical models for science learning that maximizes the collaborative learning potential of tabletops.
Keywords: Laboratory, Diffusion, Innovation, Simulation, Collaboration, tabletop, experiments
|2014||Conference||Achuthan K, Bose l, Francis S, Nedungadi P, Raman R, Improving Perception of Invisible Phenomena in UG Physics Education Using ICT International Conference on Information and Communication Technology (IEEE Xplore)|
|2014||Conference||Achuthan K, Kumar R, Sreekutty, Raman R, Security Vulnerabilities in Open Source Projects: An India Perspective International Conference on Information and Communication Technology (IEEE Xplore)|
|2013||Award||R Raman IEEE Education Society, Outstanding Chapter Achievement Award for 2013 [Link]|
|2013||Conference||P Nedungadi, Jyothi L, Raman, "Considering Misconceptions in Automatic Essay Scoring with A-TEST - Amrita Test Evaluation & Scoring Tool" AFRICOMM 2013, Springer Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
In large classrooms with limited teacher time, there is a need for automatic evaluation of text answers and real-time personalized feedback during the learning process. In this paper, we discuss Amrita Test Evaluation & Scoring Tool (A-TEST), a text evaluation and scoring tool that learns from course materials and from human-rater scored text answers and also directly from teacher input. We use latent semantic analysis (LSA) to identify the key concepts. While most AES systems use LSA to compare students’ responses with a set of ideal essays, this ignores learning the common misconceptions that students may have about a topic. A-TEST also uses LSA to learn misconceptions from the lowest scoring essays using this as a factor for scoring. ‘A-TEST’ was evaluated using two datasets of 1400 and 1800 pre-scored text answers that were manually scored by two teachers. The scoring accuracy and kappa scores between the derived ‘A-TEST’ model and the human raters were comparable to those between the human raters.
Keywords: Feature extraction, Essay scoring, text analysis, text mining, Latent Semantic Analysis (LSA), SVD, Natural Language Process- NLP, AES
|2013||Conference||R Raman, K Achuthan, P Nedungadi, M Ramesh, "Modeling Diffusion of Blended Labs for Science Experiments among Undergraduate Engineering Student" AFRICOMM 2013, Springer Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
While there is large body of work examining efficacy of Virtual Labs in engineering education, studies to date have lacked modeling Blended Labs (BL) – mix of Virtual Labs (VL) and Physical Labs (PL) for science experimentation at the university engineering level. Using Rogers theory of perceived attributes, this paper provides a research framework that identifies the attributes for BL adoption in a social group comprising of (N=246) potential adopter undergraduate engineering students. Using Bass model the study also accounts for the interinfluence of related group of potential adopter faculties who are likely to exert positive influence on students. The results revealed that acceptance of BL as an innovation and its learning outcomes are strongly associated with innovation attributes like Relative Advantage, Compatibility, Ease of Use, Department and Faculty support. Learning outcomes are very positive under BL when compared to PL, though within BL, ordering of PL and VL was not significant. For certain innovation attributes gender differences were significant. Overall students expressed much more positive attitude to adopt BL model for learning than using only PL.
Keywords: Virtual Labs, Blended Learning, Innovation Diffusion, Experiments, Engineering, interinfluence
|2013||Invited Panelist||Raghu Raman, National Conference on ICT for School Education, New Delhi, India, August 13-14th 2013|
|2013||Invited Panelist||Raghu Raman, 'Social Business and Academia', Annual Social Business Event, Yunus Center, Dhaka, Bangladesh, June 2013 More»|
|2013||Conference||Prema Nedungadi, Raghu Raman, Mark McGregor, "Enhanced STEM Learning with Online Labs: empirical study comparing physical labs, tablets and desktops" 43rd ASEE/IEEE Frontiers in Education Conference (FIE 2013), USA, Oct. 2013
India's educational challenge includes a large school going population, shortage of science teachers and lack of science labs in many schools. To counter this challenge, the Online Labs (OLabs) pedagogy is designed as a complete learning environment with tutorials, theory, procedure, animations, videos and simulations while the assessment includes conceptual, experimental, procedural and reporting skills.
We discuss two separate empirical studies using OLabs to study the performance gains, student attitudes and preferences while using physical labs, desktops and tablets. The first study was at a school that compared students who learnt individually with OLabs on desktops, to students who learnt with the traditional teacher led physical labs. The second study was at a science camp and compared OLabs on desktops to OLabs that were context adapted for android tablets. There were significant differences between the physical labs and the self study mode using OLabs on desktops, but no significant differences between OLabs on desktops compared to OLabs on tablets.
Keywords—Olabs; traditional labs; animation; simulation; online labs; virtual labs; elearning; cognitive learning; conceptual skills; experimental skills; procedural skills; reporting skills; assessment
|2013||Conference||Raman, R; Achuthan, K; Nedungadi, P, "Virtual Labs in Engineering Education: Modeling perceived critical mass of potential adopter teachers", 8th EC-TEL 2013, Cyprus, Springer Lecture Notes in Computer Science (LNCS) series
Virtual labs for science experiments are a multimedia technology innovation. A possible growth pattern of the perceived critical mass for virtual labs adoption is modeled using (N=240) potential-adopter teachers based on Roger’s theory of diffusion and of perceived attributes. Results indicate that perceived critical mass influences behavior intention to adopt a technology innovation like Virtual Labs and is affected by innovation characteristics like relative advantage, ease of use and compatibility. The work presented here models the potential-adopter teacher’s perceptions and identifies the relative importance of specific factors that influence critical mass attainment for an innovation such as Virtual Labs.
Keywords - virtual labs; innovation diffusion; critical mass; simulation; lab experiments
|2013||Invited Speaker||Raman, R; Nedungadi P, "Collaborative Assessment Platform for Practical Skills (CAPPS) for K-16 STEM", International Society for Technology in Education, San Antonio, Texas, June 2013|
|2013||Award||“OLabs short listed at the NASSCOM Innovation Awards 2013 as a Technology Innovation”, April 2013 [Link]|
|2012||Invited Speaker||ASEA 2012 Asia Science Educator Academy, Seoul, Korea, Dec 24 2012, More»|
|2012||Journal||Karmeshu, Raghu Raman, Prema Nedungadi, "Modelling diffusion of a Personalized Learning framework" Springer Journal Educational Technology Research and Development (ETR&D), August 2012, Volume 60, Issue 4
A new modelling approach for diffusion of personalized learning as an educational process innovation in social group comprising adopter-teachers is proposed. An empirical analysis regarding the perception of 261 adopter-teachers from 18 schools in India about a particular personalized learning framework has been made. Based on this analysis, teacher training (TT) has been identified as one of the dominant factor which can significantly influence decision by teachers to adopt the educational innovation. Different situations corresponding to fixed and time dependent dynamic carrying capacity of potential adopter-teachers at any time have been developed. New generalized models capturing the growth dynamics of the innovation diffusion process in conjunction with the evolutionary carrying capacity of potential adopters are investigated. The coupled dynamics allows forecasting the likelihood of success or failure of new educational innovation in a given context. Different scenarios for TT are considered based on constant growth rate model; proportional growth rate model; stratified growth rate model. The proposed modelling framework would be of great interest to education policy makers as it has the potential to predict the likelihood of success or failure of new educational innovation.
Keywords - Teacher training ; Personalized learning; Carrying capacity ; Innovation diffusion; Dynamic model; Educational innovation
|2012||Journal||Prema Nedungadi, Raghu Raman, A new approach to personalization - Integrating e-learning and m-learning, Springer Journal Educational Technology Research and Development (ETR&D), August 2012, Volume 60, Issue 4
Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly, coexists with the present e-learning environment. Unlike many mobile learning systems, this system provides teachers with real-time feedback about individual and group learners. Its scalable and extendable architectural framework includes the server-side pedagogical recommendation of content adaptation based on the users’ knowledge-levels and preferences. Content is also automatically adapted to the end device that is being used. This context-aware delivery allows users to switch between e-learning and m-learning, and between devices, without any loss in personalized content. Our work builds on a web-based Adaptive Learning and Assessment System (ALAS) that is built on the Knowledge Space Theory model. At present, this system is used at school computer labs and our goal was to widen this user-base by enhancing this system to support personalized learning on mobile devices. This study describes our process of developing this technology, and contains an empirical analysis of students’ performance, perceptions, and achievements when using ALAS on both personal computers and mobile devices.
Keywords - Adaptive assessment ; Mobile learning ; Personalized learning ; Adaptive learning ; Mobile device ; Mobility ; Intelligent tutoring ; m-Learning; e-Learning
|2011||Conference||Krishnashree Achuthan, Shyam Diwakar, Prema Nedungadi, Steven Humphreys, S. Sreekala, Zeena Pillai, Raghu Raman, Rathish G; The VALUE @ Amrita Virtual Labs Project: Using Web Technology to Provide Virtual Laboratory Access to Students. IEEE Global Humanitarian Technology Conference (GHTC 2011)|
|2011||Journal||Raghu Raman, Prema Nedungadi, Krishnashree Achuthan, Shyam Diwakar, Integrating Collaboration and Accessibility for Deploying Virtual Labs using VLCAP, "International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies", Vol.2 No.5 (Nov. 2011)|
|2011||Journal||Prema Nedungadi, Raghu Raman, "Learning-Enabled Computer Assessment of Science Labs with Scaffolds Methodology", The Technology Interface International Journal | Volume 11, Number 2, Fall/Winter 2011|
|2011||Conference||Prof. Raghu Raman presents two papers and chairs session at IAJC Conference, Hartford, U.S.A|
|2011||Conference||Prema Nedungadi, Raghu Raman "Computer Assessment of Practical Skills (CAPS) using Scaffolding Methodology as Enabler of Learning", in press,IAJC-ASEE Joint International Conference on Engineering and Technology, Hartford, USA|
|2011||Journal||S. Diwakar, K. Achuthan, P. Nedungadi and B. Nair,. "Enhanced Facilitation of Biotechnology Education in Developing Nations via Virtual Labs: Analysis, Implementation and Case-studies, "International Journal of Computer Theory and Engineering vol. 3, no. 1, pp. 1-8, 2011|
|2011||Conference||Prema Nedungadi, Raghu Raman, K Achuthan, S. Diwakar "Collaborative & Accessibility Platform for Distributed Virtual Labs", in press, IAJC-ASEE Joint International Conference on Engineering and Technology, Hartford, USA|
|2011||Conference||Raghu Raman, Prema Nedungadi, "Transitioning to ICT Enabled Continuous and Comprehensive evaluation – Reducing teacher workload", in press, 3rd International Conference on Machine Learning and Computing", Singapore|
|2011||Invited Speaker||Prof. Raghu Raman,The National Workshop on FOSS Adoption in Education, at CDAC-Mumbai. More»|
|2011||Invited Speaker||Amrita invited to participate in the Global Online Laboratory Consortium at MIT, Boston More»|
|2011||Invited Speaker||Prema Nedungadi, invited speaker, 17th National CBSE Sahodaya Conference, BangaloreMore»|
|2011||Invited Speaker||CREATE demos higher secondary students at DST inspire camp in the potential use of Virtual Labs and initial survey with over 150 students. More»|
|2010||Conference||Raghu Raman, Prema Nedungadi, "Performance Improvements in Schools with Adaptive Learning and Assessment" International Conference on Distance Learning and Education (ICDLE 2010) Puerto Rico, USA|
|2010||Conference||Raghu Raman, Prema Nedungadi "Adaptive Learning Methodologies to Support Reforms in Continuous Formative Evaluation" 2010 International Conference on Education and Information Technology (ICEIT 2010) Chongqing, China|
|2010||Conference||Prema Nedungadi, Session Chair and Judge for Database Track, ACM-W, Celebration of Women in Computing.|
|2010||Conference||Nikhil Sharma, Raghu Raman, "Opinion Maps for Tracking and Visualizing Feedback on Digital Video Content" International Conference on Distance Learning and Education (ICDLE 2010) Puerto Rico, USA|
|2010||Conference||Nedungadi, P.; Raman, R.; , "Effectiveness of adaptive learning with interactive animations and simulations", 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), 2010 , vol.6, no., pp.V6-40-V6-44, 20-22 Aug. 2010|
|2010||Conference||S Diwakar, K Achuthan, P. Nedungadi, "Biotechnology Virtual Labs – Integrating Wet-lab Techniques and Theoretical Learning for Enhanced Learning at Universities" , dsde, pp.10-14, 20, 10 International Conference on Data Storage and Data Engineering, 2010|
|2010||Invited Speaker||Raghu Raman, invited speaker, Amrita University Management System, Amrita UMS, "Effective Usage of Information and Communication and Technology (ICT) in Educational Institutions" . Confederation of Indian Industry (CII), Coimbatore http://www.amritatech.com/cii-amrita.html|