Hi!

I am rwito

Dr. Rwitajit Majumdar

Program-specific Researcher, Learning and Educational Technologies Research Unit, Kyoto University.

I am a post-doctoral researcher in Prof. Hiroaki Ogata's lab. My research focuses on Learning Analytics and Human-data interactions. In the team I design user workflow for data-informed decision making in the teaching-learning context. Given any technology enhanced learning context, I investigate the user and system interactions based on the log data generated while they operate in the technology platform to complete their set tasks. Based on that data analysis, I aim to inform technology design, evaluate effectiveness and theorize about the teaching and learning process when supported by technology. My primary stakeholders are teachers and students. I am fortunate to be working with a group of extremely motivated collaborators on the various projects!

For the teachers, I am focusing on developing Learning Evidence Analytics Framework (LEAF) to support Technology-enhanced and Evidenced-based Education and Learning (TEEL). This open source framework aims to extracts evidence of effective teaching and learning practices by harnessing the power of learning analytics. Applying co-design methodology along with instructors, developers and researchers, we are building the infrastructure that can store the evidence base of instructional practice. We aim to further analyze the gathered knowledge base of evidence and recommend them to the practitioners.

For more details please visit the site for the LEAF Framework &TEEL workshops

For the students, I am focusing on designing and developing technology support for the acquisition of skills of being self-directed in this data-driven age. It is the Goal Oriented Active Learner (GOAL) project. The project is in the interface of quantified-self and learning analytics where learner's own learning and physical activity data is automatically synchronized in the GOAL system. Their visualized data is presented to them to support analysis, planning, monitoring and reflection. I received a JSPS early career grant (#18H05746, 3M JPY for 2 years) to partially support this project.

For more details please visit the site for the GOAL project

During my graduate studies in the Inter-Disciplinary Program in Educational Technology at Indian Institute of Technology Bombay, I under the guidance of my Ph.D. supervisor Prof. Sridhar Iyer, IDP in Educational Technology & Dept. of Computer Science and Engineering, and Prof. Aniruddha Joshi, Industrial Design Center, IIT Bombay. I developed a visual analytics framework, interactive stratified attribute tracking (iSAT) to visualize transition patterns in any existing educational dataset. iSAT tool was built on that framework to assist visual cohort analysis. If you are an Educational Technology researcher, Classroom / MOOC instructor or involve in taking data-driven decisions in educational settings, you can possibly use iSAT to visualize transition patterns with your data and interpret meaning in your context.

Education

    • Ph.D. Indian Institute of Technology Bombay, Mumbai, 2018
    • Doctoral Course work, Indian Institute of Science, Bangalore, 2012
    • Masters in Engineering, Design Engineering Birla Institute of Technology and Science, Pilani, 2012
    • Masters in Science (Technology), Engineering Technology Birla Institute of Technology and Science, Pilani, 2009

International Journals (Peer reviewed)

    1. Akçapınar G., Hasnine N.M., Majumdar R., Flanagan B., Ogata H. Developing an Early-Warning System for Spotting At-Risk Students by using eBook Interaction Logs. Smart Learning Environments (2019) Vol.6, No.4, pp.1-15
    2. Majumdar R., Iyer S. iSAT: A Visual Learning Analytics Tool for Instructors Research and Practice in Technology Enhanced Learning (2016) 11:16
    3. Majumdar, R., Singh, N., Rathore, J.S. & Sharma, N.N. (2013) In Search of Materials for Artificial Flagella of Nanoswimmers Springer Journal of Materials Science (2013) 48:1 pp.240-250
    4. Rathore, J.S., Majumdar, R. & Sharma, N.N. (2012) Planar Wave Propulsion through Tapered Flagellum IEEE Transactions of Nanotechnology (2012)11:6 pp.1117 - 1121

International Conference (Peer reviewed)

    1. Majumdar R., Kuromiya H., Komura K., Flanagan B. and Ogata H. (2020) LA Platform in Junior High School: Trends of Usage and Students Performance (accepted in LAK 2020)
    2. Akçapınar G., Chen A.M., Majumdar R., Flanagan B. and Ogata H. (2020) Exploring Student Approaches to Learning through Sequence Analysis of Reading Logs (accepted in LAK 2020)
    3. Kuromiya H., Majumdar R., Warriem J.M. and Ogata H. (2019) Data-driven Validation of Pedagogical Model - A Case of Blended LCM Model, IEEE T4E 2019, Goa, India, Dec 2019
    4. Yang Y.Y., Majumdar R., Li H., Akçapınar G. , Flanagan B. and Ogata H. (2019). Measuring Analysis Skill in Data-informed Self-directed Activities. LA@ICCE2019, 27th ICCE, Kenting, Taiwan, Dec 2019.
    5. Majumdar R., Warriem J.M., Kuromiya H., Akçapınar G., Flanagan B. and Ogata H. (2019) Learning Evidence Analytics Framework (LEAF) in Practice: A2I2 based Teacher Adoption Approach (accepted in ICCE 2019)
    6. Li H., Yang Y., Majumdar R., Akçapinar G., Flanagan B. and Ogata H. (2019) Modeling Self-Planning and Promoting Planning Skills in a Data-Rich Context (accepted in ICCE 2019)
    7. Boticki I., Ogata H., Tomiek K., Akçapınar G., Flanagan B., Majumdar R. and Hasnine M.N. (2019) Identifying Reading Styles from E-book Log Data (accepted in ICCE 2019)
    8. Akçapınar G., Hasnine M.N., Majumdar R., Flanagan B. and Ogata H. (2019) Exploring the Relationships between Students' Engagement and Academic Performance in the Digital Textbook System (accepted in ICCE 2019)
    9. Flanagan B., Chen M.R.A, Lecailliez L., Majumdar R., Akçapınar G., Ocheja P. and Ogata H. (2019) Automatic Vocabulary Study Map Generation by Semantic Context and Learning Material Analysis (accepted in ICCE 2019)
    10. Majumdar R., Li H., Yang Y.Y., Akçapınar G. , Flanagan B. and Ogata H. (2019). Adaptive Support for Acquisition of Self-direction Skills using Learning and Health Data, in Proceedings of the 19th IEEE ICALT pp.54-56, Maceió, Brazil July 2019.
    11. Majumdar R., Akçapınar A., Akçapınar G., Flanagan B. and Ogata H., LAView: Learning Analytics Dashboard Towards Evidence-based Education, Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge. Tempe, USA March 2019
    12. Majumdar R., Akçapınar A., Gokhan Akçapınar, Flanagan B., Ogata H., Learning Analytics Dashboard Widgets to Author Teaching-Learning Cases for Evidence-based Education, Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge. Tempe, USA March 2019 pp.600-607
    13. Majumdar R., I Boticki., Ogata H., International Workshop on Technology-Enhanced and Evidence-Based Education and Learning , Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge. Tempe, USA March 2019, pp.595-599
    14. Li H., Majumdar R., Yang Y.Y., Akçapınar G., Flanagan B., Ogata H., Practice-Based Self Direction: A Conceptual Framework, Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge. Tempe, USA March 2019
    15. Akçapınar G., Hasnine M.N., Majumdar R., Flanagan B. and Ogata H., Using Learning Analytics to Detect Off-Task Student Behaviors in Classroom during the Reading Task, Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge. Tempe, USA March 2019
    16. Flanagan B., Majumdar R., Akçapınar G., Wang J. and Ogata H., Knowledge Map Creation for Modeling Learning Behaviors in Digital Learning Environments, Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge. Tempe, USA March 2019
    17. Majumdar R., Yuan Yuan Yang, Huiyong Li, Akçapınar G., Flanagan B., Ogata H., GOAL: A System to Support Learner’s Acquisition of Self Direction Skills, Proceedings of the 26th International Conference on Computers in Education (ICCE2018), pp. 406-415, 2018.11.29. (Paper Nominated Best Technical Design Award)
    18. Majumdar R. (2018), Supporting Data-Driven Decision Making by Learners and Teachers, In Proc. of 26th ICCE, Manila, Philippines, Nov 2018.
    19. Hasnine M.N., Akçapınar G., Flanagan B., Majumdar R., Kousuke Mouri and Ogata H., Towards Final Scores Prediction over Clickstream Using Machine Learning Methods, Proceedings of the 26th International Conference on Computers in Education (ICCE2018), pp. 392-397, 2018.11.26.
    20. Ogata H., Majumdar R., Akçapınar G., Hasnine M.N., Flanagan B., Beyond Learning Analytics: Framework for Technology-Enhanced Evidence-Based Education and Learning, Proceedings of the 26th International Conference on Computers in Education (ICCE2018), pp. 486-489, 2018.11.26.
    21. Flanagan B., Akçapınar G., Majumdar R., Ogata H., Automatic Generation of Contents Models for Digital Learning Materials, Proceedings of the 26th International Conference on Computers in Education (ICCE2018), pp. 804-806, 2018.11.29.
    22. Akçapınar G., Majumdar R., Flanagan B., Ogata H., (2018) Investigating Students’ e-Book Reading Patterns with Markov Chains, Proceedings of the 26th International Conference on Computers in Education (ICCE2018), pp. 310-315, 2018.11.28
    23. Law, M.C., Majumdar, R. and Hew, K.F. (2016) Tracing Phonological Processing Skill in Early Childhood Through iSAT IEEE Intnl Conf on Technology for Education (T4E), India, Dec 2016.
    24. Sahasrabudhe, S. , Majumdar, R.(2016) Content Creation and Pedagogic Strategies for Skill Development MOOC Intnl Conf on Computers in Education (ICCE), Mumbai, India, 2016
    25. Sahasrabudhe, S. , Majumdar, R.(2016) MOOC for skill development in 3D animation , IEEE Intnl. Conf. on Advanced Learning Technologies (ICALT), Austin, USA, 2016.
    26. Majumdar, R. and Iyer, S. (2015) Beyond Clickers: Tracing Patterns in Students' Response through iSAT. Intnl Conf on Computers in Education (ICCE), Hangzhou, China, Nov 2015.
    27. Majumdar, R. , Alse, K., Iyer, S. (2014) Interactive Stratified Attribute Tracking Diagram for Learning Analytics. IEEE Intnl Conf on Technology for Education (T4E), Amritapuri, India, 2014.
    28. Majumdar, R. and Iyer, S. (2014) Using Stratified Attribute Tracking (SAT) Diagrams for Learning Analytics. IEEE Intnl.Conf. on Advanced Learning Technologies, Greece, 2014.
    29. Majumdar, R., Kothiyal, A., Pande, P., Agarwal, H., Ranka, A., Murthy, S., & Chandrasekharan, S. (2014) The enactive equation: exploring how multiple external representations are integrated, using a fully controllable interface and eye-tracking. IEEE Intnl Conf on Technology for Education (T4E), Amritapuri, India, Dec 2014.
    30. Kothiyal, A., Majumdar, R., Pande, P., Agarwal, H., Ranka, A., & Chandrasekharan, S. (2014) How Does Representational Competence Develop? Explorations Using a Fully Controllable Interface and Eye-tracking , Intnl. Conf on Computers in Education (ICCE), Nara, Japan, 2014.
    31. Majumdar, R., Bhawar, P., Sahasrabudhe, S., Dinesan, P. (2014) HasTA: Hasta Training Application Learning Theory Based Design of Bharatanatyam Hand Gestures Tutor. IEEE Intnl. Conf. on Advanced Learning Technologies (ICALT), Athens, Greece, July 2014.
    32. Majumdar, R. and Iyer, S. (2013) LAMP: A framework for large-scale addressing of muddy points. IEEE Intnl. Conf. on Technology for Education (T4E), Kharagpur, India, Dec 2013.
    33. Majumdar, R. and Kothiyal, A. (2013) PULSE: A Framework for Protocol Based Utility to Log Student Engagement. IEEE International Conference on Technology for Education (T4E 2013), Kharagpur, India.
    34. Kothiyal, A., Majumdar, R., Murthy, S. and Iyer, S. (2013) Effect of think-pair-share in a large CS1 class: 83% sustained engagement. ACM Intl. Computing Education Research Workshop (ICER), San Diego, USA, August 2013.
    35. Majumdar, R., Dinesan, P. (2012) Framework for Teaching Bharatanatyam through Digital Medium. IEEE Intnl. Conf. on Technology for Education (T4E), Hyderabad, India, July 2012.

Domestic Conferences ( in Japan)

    1. Ogata H., Majumdar R., Akçapınar G., Flanagan B. (2019) Data-driven Infrastructure for Evidence-based Education and Learning. The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, Nigata, Japan, June 4-7, 2019.