Avi Segal

Orcid: 0000-0003-0915-5730

According to our database1, Avi Segal authored at least 36 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Personalization in Graphically Rich E-Learning Environments for K-6 Mathematics.
IEEE Trans. Learn. Technol., June, 2023

Personalizing Interventions with Diversity Aware Bandits (Short Paper).
Proceedings of the Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2023), 2023

Predicting Bug Fix Time in Students' Programming with Deep Language Models.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Sequencing Educational Content Using Diversity Aware Bandits.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Online Evaluation of Tail Project Boosting in Citizen Science.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Combining Psychological Theory with Language Models for Suicide Risk Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Mapping Citizen Science through the Lens of Human-Centered AI.
Hum. Comput., 2022

Generating Recommendations with Post-Hoc Explanations for Citizen Science.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Addressing Popularity Bias in Citizen Science.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

A new Workflow for Human-AI Collaboration in Citizen Science.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

Optimizing Representations and Policies for Question Sequencing using Reinforcement Learning.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Automatic Creativity Measurement in Scratch Programs Across Modalities.
IEEE Trans. Learn. Technol., 2021

New Methods for Confusion Detection in Course Forums: Student, Teacher, and Machine.
IEEE Trans. Learn. Technol., 2021

Revisiting Citizen Science Through the Lens of Hybrid Intelligence.
CoRR, 2021

Seeding Course Forums using the Teacher-in-the-Loop.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Modeling Creativity in Visual Programming: From Theory to Practice.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Intelligent Recommendations for Citizen Science.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
In the Eye of the Beholder? Detecting Creativity in Visual Programming Environments.
CoRR, 2020

Best Practices for Transparency in Machine Generated Personalization.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Intelligent Recommendations for Citizen Science.
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Inferring Creativity in Visual Programming Environments.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

#Confused and beyond: detecting confusion in course forums using students' hashtags.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

2019
A difficulty ranking approach to personalization in E-learning.
Int. J. Hum. Comput. Stud., 2019

Teacher vs. Algorithm: Double-blind experiment of content sequencing in mathematics.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Orchestrating the emergence of conceptual learning: a case study in a geometry class.
Int. J. Comput. Support. Collab. Learn., 2018

Orchestration tools for teachers in the context of individual and collaborative learning: what information do teachers need and what do they do with it?
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Keeping the Teacher in the Loop: Technologies for Monitoring Group Learning in Real-Time.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
Sequencing educational content in classrooms using Bayesian knowledge tracing.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Improving Productivity in Citizen Science through Controlled Intervention.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Adaptation and Incentive Design in Large Scale Task Systems.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
EduRank: A Collaborative Filtering Approach to Personalization in E-learning.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Personalization and Incentive Design in E-Learning Systems.
Proceedings of the 7th International Conference on Educational Data Mining, 2014


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