most citedExploring Teacher-Chatbot Interaction and Affect in Block-Based Programming

2 citations · 3 across the 7 of their papers we have counts for

collaborators

8 papers

cs.HC2026

From Instructional Intent to Classroom-Ready Lessons: Investigating Teacher-AI Collaboration in Lesson Authoring for Secondary Computing Education

Tahreem Yasir, Wenbo Li, Deniz Ozturk +4

Generative AI is increasingly studied as a tool for supporting lesson authoring; the creation and adaptation of classroom materials, yet little is known about how it should fit int…

cs.CL2026

Correct Diagnosis, Better Feedback: A Symbolic-Verifier for Faithful LLM Tutoring Feedback in Logic Proofs

Tahreem Yasir, Arnav Mody, Xioayi Tian +1

Effective LLM tutoring depends on correctly identifying the specific error in a student's reasoning before generating feedback. We study this problem in propositional-logic proof t…

cs.AI2026

Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most

Tahreem Yasir, Wenbo Li, Sam Gilson +3

Effective tutoring requires distinguishing optimal, valid but suboptimal, and incorrect student solutions, a distinction central to intelligent tutoring systems (ITS) but untested…

cs.AI2026

When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring

Tahreem Yasir, Sutapa Dey Tithi, Benyamin Tabarsi +7

Large language models (LLMs) are increasingly used for automated tutoring, but their reliability in structured symbolic domains remains unclear. We study step-level feedback for pr…

cs.AI2026

Data-Driven Hints in Intelligent Tutoring Systems

Sutapa Dey Tithi, Kimia Fazeli, Dmitri Droujkov +3

This chapter explores the evolution of data-driven hint generation for intelligent tutoring systems (ITS). The Hint Factory and Interaction Networks have enabled the generation of…

cs.CY2026★ 2 cited

Exploring Teacher-Chatbot Interaction and Affect in Block-Based Programming

Bahare Riahi, Ally Limke, Xiaoyi Tian +8

AI-based chatbots have the potential to accelerate learning and teaching, but may also have counterproductive consequences without thoughtful design and scaffolding. To better unde…

cs.AI2026★ 1 cited

Adaptive Scaffolding for Cognitive Engagement in an Intelligent Tutoring System

Sutapa Dey Tithi, Nazia Alam, Tahreem Yasir +4

The ICAP framework defines four cognitive engagement levels: Passive, Active, Constructive, and Interactive, where increased cognitive engagement can yield improved learning. Howev…

cs.CL2026

SafeTalkCoach: Diversity-Driven Multi-Agent Simulation for Parent-Teen Health Conversations

Benyamin Tabarsi, Wenbo Li, Tahreem Yasir +4

The importance of effective parent-child communication about sexual health is widely acknowledged, but real-world data on these conversations is scarce and challenging to collect,…