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Author

Avi Segal

Observed name: Segal, Avi
ORCID: 0000-0003-0915-5730
Observed ORCID: 0000-0003-0915-5730
OpenAlex ID: A5089712688
Orchestrating the emergence of conceptual learning: a case study in a geometry class
2018 · Baruch B. Schwarz, Naomi Prusak, et al. · International Journal of Computer-Supported Collaborative Learning · 58
Sequencing educational content in classrooms using Bayesian knowledge tracing
2016 · Yossi Ben David, Avi Segal, et al. · International Conference on Learning Analytics and Knowledge (LAK) · 54
EduRank: A Collaborative Filtering Approach to Personalization in E-learning.
2014 · Avi Segal, Ziv Katzir, et al. · 49
Suicide-related calls to a national crisis chat hotline service during the COVID-19 pandemic and lockdown
2021 · Gil Zalsman, Yael Levy, et al. · Journal of Psychiatric Research · 44
A difficulty ranking approach to personalization in E-learning
2019 · Avi Segal, Kobi Gal, et al. · International Journal of Human-Computer Studies · 42
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Mapping Citizen Science through the Lens of Human-Centered AI
2022 · Janet Rafner, Miroslav Gajdacz, et al. · Human Computation · 33
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Improving Productivity in Citizen Science through Controlled Intervention
2015 · Avi Segal, Ya'akov (Kobi) Gal, et al. · International World Wide Web Conference (WWW) · 33
Automatic Creativity Measurement in Scratch Programs Across Modalities
2021 · Anastasia Kovalkov, Benjamin Paasen, et al. · IEEE Transactions on Learning Technologies · 31
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Keeping the Teacher in the Loop: Technologies for Monitoring Group Learning in Real-Time
2017 · Avi Segal, Shaked Hindi, et al. · Lecture notes in computer science · 31
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content
2018 · Avi Segal, Yossi Ben David, et al. · Lecture notes in computer science · 28
Transparency-Check: An Instrument for the Study and Design of Transparency in AI-based Personalization Systems
2023 · Laura Schelenz, Avi Segal, et al. · ACM Journal on Responsible Computing · 24
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Predicting suicide risk in real‐time crisis hotline chats integrating machine learning with psychological factors: Exploring the black box
2024 · Meytal Grimland, Joy Benatov, et al. · Suicide and Life-Threatening Behavior · 23
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Intervention strategies for increasing engagement in crowdsourcing: platform, predictions, and experiments
2016 · Avi Segal, Kobi Gal, et al. · International Joint Conference on Artificial Intelligence · 20
Best Practices for Transparency in Machine Generated Personalization
2020 · Laura Schelenz, Avi Segal, et al. · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · 17
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Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science
2018 · Avi Segal, Kobi Gal, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 16
Revisiting Citizen Science Through the Lens of Hybrid Intelligence
2021 · Rafner, Janet, Gajdacz, Miroslav, et al. · arXiv (Cornell University) · 15
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#Confused and beyond
2020 · Shay A. Geller, Nicholas Hoernle, et al. · International Conference on Learning Analytics and Knowledge (LAK) · 14
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content
2018 · Segal, Avi, David, Yossi Ben, et al. · arXiv (Cornell University) · 13
Inferring Creativity in Visual Programming Environments
2020 · Anastasia Kovalkov, Avi Segal, et al. · ACM Conference on Learning @ Scale (L@S) · 12
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Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language
2022 · Bialer, Amir, Izmaylov, Daniel, et al. · arXiv (Cornell University) · 11
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New Methods for Confusion Detection in Course Forums: Student, Teacher, and Machine
2021 · Shay A. Geller, Kobi Gal, et al. · IEEE Transactions on Learning Technologies · 11
Intelligent Recommendations for Citizen Science
2021 · Daniel Ben Zaken, Kobi Gal, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 11
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Combining Psychological Theory with Language Models for Suicide Risk Detection
2023 · Daniel Izmaylov, Avi Segal, et al. · Findings of the Association for Computational Linguistics: EACL · 10
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Generating Recommendations with Post-Hoc Explanations for Citizen Science
2022 · Daniel Ben Zaken, Avi Segal, et al. · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · 10
Personalization in Graphically Rich E-Learning Environments for K-6 Mathematics
2023 · Ben Levy, Arnon Hershkovitz, et al. · IEEE Transactions on Learning Technologies · 9
Works count: 56
Citation count: 683
H-index: 15
I10-index: 24
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