Giora Alexandron

Orcid: 0000-0003-2676-6912

According to our database1, Giora Alexandron authored at least 45 papers between 2007 and 2024.

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Bibliography

2024
Recommender systems for teachers: The relation between social ties and the effectiveness of socially-based features.
Comput. Educ., March, 2024

An evaluation of assessment stability in a massive open online course using item response theory.
Educ. Inf. Technol., February, 2024

A General Purpose Anomaly-Based Method for Detecting Cheaters in Online Courses.
IEEE Trans. Learn. Technol., 2024

2023
WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community.
Int. J. Artif. Intell. Educ., December, 2023

Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology.
Int. J. Artif. Intell. Educ., March, 2023

The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs.
J. Comput. Assist. Learn., February, 2023

Teachers' trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries.
CoRR, 2023

Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

How Do Teachers Search for Learning Resources? A Mixed Method Field Study.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

Transformer-based Hebrew NLP models for Short Answer Scoring in Biology.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022
Evaluating a learning analytics dashboard to detect dishonest behaviours: A case study in small private online courses with academic recognition.
J. Comput. Assist. Learn., 2022

Trustworthy remote assessments: A typology of pedagogical and technological strategies.
J. Comput. Assist. Learn., 2022

Teachers' trust in AI-powered educational technology and a professional development program to improve it.
Br. J. Educ. Technol., 2022

A Blended-Learning Program for Implementing a Rigorous Machine-Learning Curriculum in High-Schools.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Empowering Teachers with AI: Co-Designing a Learning Analytics Tool for Personalized Instruction in the Science Classroom.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
De-identification is Insufficient to Protect Student Privacy, or - What Can a Field Trip Reveal?
J. Learn. Anal., September, 2021

Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A MOOC-Based Computer Science Program for Middle School: Results, Challenges, and the Covid-19 Effect.
Proceedings of the 7th European MOOCs Stakeholders Summit, 2021

MOOC Monetization Changes and Completion Rates: Are Learners from Countries of Different Development Status Equally Affected?
Proceedings of the 7th European MOOCs Stakeholders Summit, 2021

2020
Assessment that matters: balancing reliability and learner-centered pedagogy in MOOC assessment.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019
Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features.
IEEE Trans. Learn. Technol., 2019

Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!
Int. J. Artif. Intell. Educ., 2019

Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data.
CoRR, 2018

Evaluating the Robustness of Learning Analytics Results Against Fake Learners.
Proceedings of the Lifelong Technology-Enhanced Learning, 2018

2017
Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 2.
Comput. Sci. Eng., 2017

Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 1.
Comput. Sci. Eng., 2017

Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC.
Comput. Educ., 2017

2016
Researching for better instructional methods using AB experiments in MOOCs: results and challenges.
Res. Pract. Technol. Enhanc. Learn., 2016

Teaching Nondeterminism Through Programming.
Informatics Educ., 2016

Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics.
Proceedings of the Late-breaking Results, 2016

Using Multiple Accounts for Harvesting Solutions in MOOCs.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

2015
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Scenario-Based Programming, Usability-Oriented Perception.
ACM Trans. Comput. Educ., 2014

Scenario-based programming: reducing the cognitive load, fostering abstract thinking.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
On teaching programming with nondeterminism.
Proceedings of the 8th Workshop in Primary and Secondary Computing Education, 2013

2012
The effect of previous programming experience on the learning of scenario-based programming.
Proceedings of the 12th Koli Calling International Conference on Computing Education Research, 2012

2011
Programming with the user in mind.
Proceedings of the 23rd Annual Workshop of the Psychology of Programming Interest Group, 2011

2009
An Explanation-Based Constraint Debugger.
Proceedings of the Hardware and Software: Verification and Testing, 2009

2007
Kinetic and dynamic data structures for convex hulls and upper envelopes.
Comput. Geom., 2007


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