Search Results for author: Tanmay Sinha

Found 11 papers, 3 papers with code

Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning

no code implementations13 Nov 2023 Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal, Tanmay Sinha

We present a general framework for designing efficient algorithms for unsupervised learning problems, such as mixtures of Gaussians and subspace clustering.

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems

1 code implementation23 May 2023 Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

While automatic dialogue tutors hold great potential in making education personalized and more accessible, research on such systems has been hampered by a lack of sufficiently large and high-quality datasets.

Language Modelling Large Language Model +1

Opportunities and Challenges in Neural Dialog Tutoring

1 code implementation24 Jan 2023 Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

Designing dialog tutors has been challenging as it involves modeling the diverse and complex pedagogical strategies employed by human tutors.

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

1 code implementation23 Nov 2022 Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan

On both automatic and human quality evaluations, we find that LMs constrained with desirable question properties generate superior questions and improve the overall performance of a math word problem solver.

Math Math Word Problem Solving +2

A Novel Multimodal Approach for Studying the Dynamics of Curiosity in Small Group Learning

no code implementations1 Apr 2022 Tanmay Sinha, Zhen Bai, Justine Cassell

We make a bipartite distinction between individual and interpersonal functions that contribute to curiosity, and multimodal behaviors that fulfill these functions.

Capturing "attrition intensifying" structural traits from didactic interaction sequences of MOOC learners

no code implementations WS 2014 Tanmay Sinha, Nan Li, Patrick Jermann, Pierre Dillenbourg

This work is an attempt to discover hidden structural configurations in learning activity sequences of students in Massive Open Online Courses (MOOCs).

Leveraging user profile attributes for improving pedagogical accuracy of learning pathways

no code implementations27 Jul 2014 Tanmay Sinha, Ankit Banka, Dae Ki Kang

In recent years, with the enormous explosion of web based learning resources, personalization has become a critical factor for the success of services that wish to leverage the power of Web 2. 0.

TAG

Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions

no code implementations WS 2014 Tanmay Sinha, Patrick Jermann, Nan Li, Pierre Dillenbourg

In this work, we explore video lecture interaction in Massive Open Online Courses (MOOCs), which is central to student learning experience on these educational platforms.

Together we stand, Together we fall, Together we win: Dynamic Team Formation in Massive Open Online Courses

no code implementations22 Apr 2014 Tanmay Sinha

Massive Open Online Courses (MOOCs) offer a new scalable paradigm for e-learning by providing students with global exposure and opportunities for connecting and interacting with millions of people all around the world.

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