Deniz Sonmez Unal

dblp:239/7697 · DBLP profile ↗
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10ranked-venue papers
6as first author
6since 2021 · last 2025
0000-0003-3389-2466ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 7 · 5 first-author · 4 since 2021Human-computer interaction and ubiquitous computing · 6 · 3 first-author · 4 since 2021Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021
YearPublicationVenuePosition
2025 Using Self-regulated Learning Theory to Inform the Design of Educational Recommender Systems for Introductory Programming
Jordan Barria-Pineda, Deniz Sonmez Unal, Kamil Akhuseyinoglu, Peter Brusilovsky, Erin Walker
AIED (5)2
2025 Modeling the phases of rule learning during problem solving with an interactive learning environment
Deniz Sonmez Unal, Erin Treacy Solovey, Catherine M. Arrington, Erin Walker
User Model. User Adapt. Interact.1
2023 Eliciting Proactive and Reactive Control During Use of an Interactive Learning Environment
Deniz Sonmez Unal, Catherine M. Arrington, Erin Treacy Solovey, Erin Walker
AIED1
2023 Soliloquy: Fostering Poetry Comprehension Using an Interactive Think-aloud Visualization
abstract
Complex texts like poetry are distinct from informative texts, requiring additional subprocesses to decode and interpret. Approaching a poem without knowledge of these cognitive strategies can result in confusion and frustration—rather than comprehension. In this work, we explore how interfaces can surface and demonstrate these cognitive processes to novice readers. We introduce Soliloquy, an interface that visualizes the thoughts of an expert as they read and interpret a poem by using animations of text and pop-up tooltips. We evaluate the interface in a five-condition Mechanical Turk study (n=254) by varying the detail of thoughts, including audio, and substituting a static text control. Our study detected a significant difference in comprehension between the detail of thoughts, but not between the Soliloquy interface and static text control. We further investigate this finding in a think-aloud study (n=13), revealing the impact individual differences, experience, and cognitive load could have on Soliloquy’s effectiveness.
Zak Risha, Deniz Sonmez Unal, Erin Walker
CHI2
2023 Classification of Rule Learning Phases in Inductive Reasoning
Deniz Sonmez Unal, Theresa G. Mowad, Alicia Howell-Munson, Erin Walker, Erin Treacy Solovey, Catherine M. Arrington
CogSci1
2022 Eliciting Proactive and Reactive Control during Use of an Interactive Learning Environment
Deniz Sonmez Unal, Catherine M. Arrington, Erin Treacy Solovey, Erin Walker
CogSci1
2020 Using Thinkalouds to Understand Rule Learning and Cognitive Control Mechanisms Within an Intelligent Tutoring System
Deniz Sonmez Unal, Catherine M. Arrington, Erin Treacy Solovey, Erin Walker
AIED (1)1
2020 Decomposition of Response Time to Give Better Predictions of Children's Reading Comprehension
Zhila Aghajari, Deniz Sonmez Unal, Mesut Erhan Unal, Ligia Gómez, Erin Walker
EDM2
2019 MindDot: Supporting Effective Cognitive Behaviors in Concept Map-Based Learning Environments
abstract
While prior research has revealed the promising impact of concept mapping on learning, few have comprehensively modeled different cognitive behaviors during concept mapping. In addition, existing concept mapping tools lack effective feedback to support better learning behaviors. This work presents MindDot, a concept map-based learning environment that facilitates the cognitive process of comparing and integrating related concepts via two forms of support. A hyperlink support and an expert template. Study results suggested that both types of support had positive impact on the development of comparative strategies and that hyperlink support enhanced learning. We further evaluated the cognitive learning progress at a fine-grained level with two forms of visualizations. We then extracted several behavioral patterns that provided insights about the cognitive progress in learning. Lastly, we derive design recommendations that we hope will inspire future intelligent tutoring systems that automatically evaluate students' learning behaviors and foster them in developing effective learning behaviors
Shang Wang 0001, Deniz Sonmez Unal, Erin Walker
CHI2
2019 Modeling Student Performance and Disengagement Using Decomposition of Response Time Data
Deniz Sonmez Unal
EDM1