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2020 – today
- 2023
[j6]Ben Levy, Arnon Hershkovitz
, Michal Tabach, Anat Cohen, Avi Segal, Kobi Gal:
Personalization in Graphically Rich E-Learning Environments for K-6 Mathematics. IEEE Trans. Learn. Technol. 16(3): 364-376 (2023)- [c28]Daniel Izmaylov, Avi Segal, Kobi Gal, Meytal Grimland, Yossi Levi-Belz:
Combining Psychological Theory with Language Models for Suicide Risk Detection. EACL (Findings) 2023: 2385-2393 - [c27]Amit Sultan, Avi Segal, Guy Shani, Darlene Cavalier, Kobi Gal:
Online Evaluation of Tail Project Boosting in Citizen Science. ECAI 2023: 3233-3240 - [c26]Colton Botta, Avi Segal, Kobi Gal:
Sequencing Educational Content Using Diversity Aware Bandits. EDM 2023 - [c25]Stav Tsabari, Avi Segal, Kobi Gal:
Predicting Bug Fix Time in Students' Programming with Deep Language Models. EDM 2023 - [c24]Colton Botta, Avi Segal, Kobi Gal:
Personalizing Interventions with Diversity Aware Bandits (Short Paper). HHAI Workshops 2023: 254-263 - 2022
- [j5]Janet Rafner, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Gander, Blanka Palfi, Aleksandra Berditchevskiaia, François Grey, Kobi Gal, Avi Segal, Mike Wamsley, Josh Aaron Miller, Dominik Dellermann, Mordechai Haklay, Pietro Michelucci, Jacob Friis Sherson:
Mapping Citizen Science through the Lens of Human-Centered AI. Hum. Comput. 9(1): 66-95 (2022) - [c23]Amir Bialer, Daniel Izmaylov, Avi Segal, Oren Tsur, Yossi Levi-Belz, Kobi Gal:
Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language. COLING 2022: 4241-4250 - [c22]Aqil Zainal Azhar, Avi Segal, Kobi Gal:
Optimizing Representations and Policies for Question Sequencing using Reinforcement Learning. EDM 2022 - [c21]Amit Sultan, Avi Segal, Guy Shani, Ya'akov (Kobi) Gal:
Addressing Popularity Bias in Citizen Science. GoodIT 2022: 17-23 - [c20]Ya'akov (Kobi) Gal, Avi Segal, Ece Kamar, Eric Horvitz, Chris J. Lintott, Mike Walmsley:
A new Workflow for Human-AI Collaboration in Citizen Science. GoodIT 2022: 89-95 - [c19]Daniel Ben Zaken, Avi Segal, Darlene Cavalier, Guy Shani, Kobi Gal:
Generating Recommendations with Post-Hoc Explanations for Citizen Science. UMAP 2022: 69-78 - [i7]Amir Bialer, Daniel Izmaylov, Avi Segal, Oren Tsur, Yossi Levi-Belz, Kobi Gal:
Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language. CoRR abs/2209.04830 (2022) - [i6]Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal:
Automatic Creativity Measurement in Scratch Programs Across Modalities. CoRR abs/2211.05227 (2022) - 2021
- [j4]Shay A. Geller, Kobi Gal, Avi Segal, Kamali Sripathi, Hyunsoo Gloria Kim, Marc T. Facciotti, Michele Igo, Nicholas Hoernle, David R. Karger:
New Methods for Confusion Detection in Course Forums: Student, Teacher, and Machine. IEEE Trans. Learn. Technol. 14(5): 665-679 (2021) - [j3]Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal:
Automatic Creativity Measurement in Scratch Programs Across Modalities. IEEE Trans. Learn. Technol. 14(6): 740-753 (2021) - [c18]Daniel Ben Zaken, Kobi Gal, Guy Shani, Avi Segal, Darlene Cavalier:
Intelligent Recommendations for Citizen Science. AAAI 2021: 14693-14701 - [c17]Anastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal, Niels Pinkwart:
Modeling Creativity in Visual Programming: From Theory to Practice. EDM 2021 - [c16]Einat Shusterman, Hyunsoo Gloria Kim, Marc T. Facciotti, Michele Igo, Kamali Sripathi, David R. Karger, Avi Segal, Kobi Gal:
Seeding Course Forums using the Teacher-in-the-Loop. LAK 2021: 22-31 - [i5]Janet Rafner, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Jia Gander, Blanka Palfi, Aleks Berditchevskaia, François Grey, Kobi Gal, Avi Segal, Mike Walmsley, Josh Aaron Miller, Dominik Dellerman, Muki Haklay, Pietro Michelucci, Jacob Friis Sherson:
Revisiting Citizen Science Through the Lens of Hybrid Intelligence. CoRR abs/2104.14961 (2021) - 2020
- [c15]Shay A. Geller, Nicholas Hoernle, Kobi Gal, Avi Segal, Amy X. Zhang, David R. Karger, Marc T. Facciotti, Michele Igo:
#Confused and beyond: detecting confusion in course forums using students' hashtags. LAK 2020: 589-594 - [c14]Anastasia Kovalkov, Avi Segal, Kobi Gal:
Inferring Creativity in Visual Programming Environments. L@S 2020: 269-272 - [c13]Naama Dayan, Kobi Gal, Avi Segal, Guy Shani, Darlene Cavalier:
Intelligent Recommendations for Citizen Science. ComplexRec-ImpactRS@RecSys 2020 - [c12]Laura Schelenz, Avi Segal, Kobi Gal:
Best Practices for Transparency in Machine Generated Personalization. UMAP (Adjunct Publication) 2020: 23-28 - [i4]Laura Schelenz, Avi Segal, Kobi Gal:
Best Practices for Transparency in Machine Generated Personalization. CoRR abs/2004.00935 (2020) - [i3]Anastasia Kovalkov, Avi Segal, Kobi Gal:
In the Eye of the Beholder? Detecting Creativity in Visual Programming Environments. CoRR abs/2004.05878 (2020)
2010 – 2019
- 2019
- [j2]Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira:
A difficulty ranking approach to personalization in E-learning. Int. J. Hum. Comput. Stud. 130: 261-272 (2019) - [c11]Ben Levy, Arnon Hershkovitz, Odelia Tzayada, Orit Ezra, Avi Segal, Kobi Gal, Anat Cohen, Michal Tabach:
Teacher vs. Algorithm: Double-blind experiment of content sequencing in mathematics. EDM 2019 - [i2]Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira:
A difficulty ranking approach to personalization in E-learning. CoRR abs/1907.12047 (2019) - 2018
- [j1]Baruch B. Schwarz, Naomi Prusak, Osama Swidan, Adva Livny, Kobi Gal, Avi Segal:
Orchestrating the emergence of conceptual learning: a case study in a geometry class. Int. J. Comput. Support. Collab. Learn. 13(2): 189-211 (2018) - [c10]Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller:
Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. AAAI 2018: 1536-1544 - [c9]Avi Segal, Yossi Ben David, Joseph Jay Williams, Kobi Gal, Yaar Shalom:
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content. AIED (2) 2018: 317-321 - [c8]Anouschka van Leeuwen, Nikol Rummel, Kenneth Holstein, Bruce M. McLaren, Vincent Aleven, Inge Molenaar, Carolien Knoop van Campen, Baruch B. Schwarz, Naomi Prusak, Osama Swidan, Avi Segal, Kobi Gal:
Orchestration tools for teachers in the context of individual and collaborative learning: what information do teachers need and what do they do with it? ICLS 2018 - [i1]Avi Segal, Yossi Ben David, Joseph Jay Williams, Kobi Gal, Yaar Shalom:
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content. CoRR abs/1804.05212 (2018) - 2017
- [c7]Avi Segal, Shaked Hindi, Naomi Prusak, Osama Swidan, Adva Livni, Alik Palatnic, Baruch B. Schwarz, Ya'akov (Kobi) Gal:
Keeping the Teacher in the Loop: Technologies for Monitoring Group Learning in Real-Time. AIED 2017: 64-76 - 2016
- [c6]Avi Segal, Ya'akov (Kobi) Gal, Ece Kamar, Eric Horvitz, Alex Bowyer, Grant Miller:
Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments. IJCAI 2016: 3861-3867 - [c5]Yossi Ben David, Avi Segal, Ya'akov (Kobi) Gal:
Sequencing educational content in classrooms using Bayesian knowledge tracing. LAK 2016: 354-363 - 2015
- [c4]Avi Segal:
Adaptation and Incentive Design in Large Scale Task Systems. AAMAS 2015: 2001-2002 - [c3]Avi Segal, Ya'akov (Kobi) Gal, Robert J. Simpson, Victoria Victoria Homsy, Mark Hartswood, Kevin R. Page, Marina Jirotka:
Improving Productivity in Citizen Science through Controlled Intervention. WWW (Companion Volume) 2015: 331-337 - 2014
- [c2]Avi Segal, Ziv Katzir, Kobi Gal, Guy Shani, Bracha Shapira:
EduRank: A Collaborative Filtering Approach to Personalization in E-learning. EDM 2014: 68-75 - [c1]Avi Segal:
Personalization and Incentive Design in E-Learning Systems. EDM 2014: 455-457
Coauthor Index
aka: Ya'akov (Kobi) Gal
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