2 citations · 3 across the 4 of their papers we have counts for
5 papers
Will It Teach as Intended? How Teachers Configure Educational AI Chatbots
Bahare Riahi, Deniz Ozturk, Alice Guth +7
Teachers are increasingly using generative AI to support instruction, yet it remains unclear how pedagogical intentions are translated into chatbot configurations and reflected in…
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…
SnapClass: An AI-Enhanced Classroom Management System for Block-Based Programming
Bahare Riahi, Xiaoyi Tian, Ally Limke +5
Block-Based Programming (BBP) platforms, such as Snap!, have become increasingly prominent in K-12 computer science education due to their ability to simplify programming concepts…
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor
Christa Cody, Mehak Maniktala, Nicholas Lytle +2
Research has shown assistance can provide many benefits to novices lacking the mental models needed for problem solving in a new domain. However, varying approaches to assistance,…
Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help
Mehak Maniktala, Christa Cody, Amy Isvik +3
Determining when and whether to provide personalized support is a well-known challenge called the assistance dilemma. A core problem in solving the assistance dilemma is the need t…