Kinetic and dynamic data structures for convex hulls and upper envelopes. - Giora Alexandron; Haim Kaplan; Micha Sharir (Comput. Geom., 2007)

An Explanation-Based Constraint Debugger. - Aaron Rich; Giora Alexandron; Reuven Naveh (Haifa Verification Conference, 2009)

Programming with the user in mind. - Giora Alexandron; Michal Armoni; David Harel (PPIG, 2011)

The effect of previous programming experience on the learning of scenario-based programming. - Giora Alexandron; Michal Armoni; Michal Gordon; David Harel (Koli Calling, 2012)

On teaching programming with nondeterminism. - Giora Alexandron; Michal Armoni; Michal Gordon; David Harel (WiPSCE, 2013)

Scenario-based programming: reducing the cognitive load, fostering abstract thinking. - Giora Alexandron; Michal Armoni; Michal Gordon; David Harel (ICSE Companion, 2014)

Scenario-Based Programming, Usability-Oriented Perception. - Giora Alexandron; Michal Armoni; Michal Gordon; David Harel (ACM Trans. Comput. Educ., 2014)

Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach. - Giora Alexandron; Qian Zhou; David E. Pritchard (EDM, 2015)

Using Multiple Accounts for Harvesting Solutions in MOOCs. - José A. Ruipérez-Valiente; Giora Alexandron; Zhongzhou Chen; David E. Pritchard (L@S, 2016)

Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. - Giora Alexandron; Sunbok Lee; Zhongzhou Chen; David E. Pritchard (UMAP (Extended Proceedings), 2016)

Teaching Nondeterminism Through Programming. - Giora Alexandron; Michal Armoni; Michal Gordon; David Harel (Informatics Educ., 2016)

Researching for better instructional methods using AB experiments in MOOCs: results and challenges. - Zhongzhou Chen; Christopher Chudzicki; Daniel Palumbo; Giora Alexandron; Youn-Jeng Choi; Qian Zhou; David E. Pritchard (Res. Pract. Technol. Enhanc. Learn., 2016)

Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC. - Giora Alexandron; José A. Ruipérez-Valiente; Zhongzhou Chen; Pedro J. Muñoz Merino; David E. Pritchard (Comput. Educ., 2017)

Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 1. - Giora Alexandron; Michal Armoni; Michal Gordon; David Harel (Comput. Sci. Eng., 2017)

Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 2. - Giora Alexandron; Michal Armoni; Michal Gordon; David Harel (Comput. Sci. Eng., 2017)

Evaluating the Robustness of Learning Analytics Results Against Fake Learners. - Giora Alexandron; José A. Ruipérez-Valiente; Sunbok Lee; David E. Pritchard (EC-TEL, 2018)

Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data. - Tanya Nazaretsky; Sara Hershkovitz; Giora Alexandron (CoRR, 2018)

Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. - Giora Alexandron; José A. Ruipérez-Valiente; David E. Pritchard (EDM, 2019)

Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. - Tanya Nazaretsky; Sara Hershkovitz; Giora Alexandron (EDM, 2019)

Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be! - Giora Alexandron; Lisa Y. Yoo; José A. Ruipérez-Valiente; Sunbok Lee; David E. Pritchard (Int. J. Artif. Intell. Educ., 2019)

Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features. - José A. Ruipérez-Valiente; Pedro J. Muñoz Merino; Giora Alexandron; David E. Pritchard (IEEE Trans. Learn. Technol., 2019)

First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew. - Moriah Ariely; Tanya Nazaretsky; Giora Alexandron (EDM, 2020)

Assessment that matters: balancing reliability and learner-centered pedagogy in MOOC assessment. - Giora Alexandron; Mary Ellen Wiltrout; Aviram Berg; José A. Ruipérez-Valiente (LAK, 2020)

MOOC Monetization Changes and Completion Rates: Are Learners from Countries of Different Development Status Equally Affected? - Sa'ar Karp Gershon; José A. Ruipérez-Valiente; Giora Alexandron (EMOOCs, 2021)

A MOOC-Based Computer Science Program for Middle School: Results, Challenges, and the Covid-19 Effect. - Shai Perach; Giora Alexandron (EMOOCs, 2021)

Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design. - Elad Yacobson; Armando M. Toda; Alexandra I. Cristea; Giora Alexandron (ITS, 2021)

De-identification is Insufficient to Protect Student Privacy, or - What Can a Field Trip Reveal? - Elad Yacobson; Orly Fuhrman; Sara Hershkovitz; Giora Alexandron (J. Learn. Anal., 2021)

Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations. - Elad Yacobson; Armando M. Toda; Alexandra I. Cristea; Giora Alexandron (AIED (2), 2022)

Empowering Teachers with AI: Co-Designing a Learning Analytics Tool for Personalized Instruction in the Science Classroom. - Tanya Nazaretsky; Carmel Bar; Michal Walter; Giora Alexandron (LAK, 2022)

An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology. - Tanya Nazaretsky; Mutlu Cukurova; Giora Alexandron (LAK, 2022)

A Blended-Learning Program for Implementing a Rigorous Machine-Learning Curriculum in High-Schools. - Shai Perach; Giora Alexandron (L@S, 2022)

Teachers' trust in AI-powered educational technology and a professional development program to improve it. - Tanya Nazaretsky; Moriah Ariely; Mutlu Cukurova; Giora Alexandron (Br. J. Educ. Technol., 2022)

Trustworthy remote assessments: A typology of pedagogical and technological strategies. - Isabel Hilliger; José A. Ruipérez-Valiente; Giora Alexandron; Dragan Gasevic (J. Comput. Assist. Learn., 2022)

Evaluating a learning analytics dashboard to detect dishonest behaviours: A case study in small private online courses with academic recognition. - Daniel Alberto Jaramillo-Morillo; José A. Ruipérez-Valiente; Claudia Patricia Burbano Astaiza; Mario Solarte; Gustavo-Adolfo Ramírez-González; Giora Alexandron (J. Comput. Assist. Learn., 2022)

Transformer-based Hebrew NLP models for Short Answer Scoring in Biology. - Abigail Gurin Schleifer; Beata Beigman Klebanov; Moriah Ariely; Giora Alexandron (BEA@ACL, 2023)

How Do Teachers Search for Learning Resources? A Mixed Method Field Study. - Elad Yacobson; Giora Alexandron (EC-TEL, 2023)

Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data. - Brad Din; Tanya Nazaretsky; Yael Feldman-Maggor; Giora Alexandron (EDM, 2023)

Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer. - Tanya Nazaretsky; Haci Hasan Yolcu; Moriah Ariely; Giora Alexandron (EDM, 2023)

Teachers' trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries. - Olga Viberg; Mutlu Cukurova; Yael Feldman-Maggor; Giora Alexandron; Shizuka Shirai; Susumu Kanemune; Barbara Wasson; Cathrine Tømte; Daniel Spikol; Marcelo Milrad; Raquel Coelho; René F. Kizilcec (CoRR, 2023)

The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs. - Giora Alexandron; Mary Ellen Wiltrout; Aviram Berg; Sa'ar Karp Gershon; José A. Ruipérez-Valiente (J. Comput. Assist. Learn., 2023)

Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology. - Moriah Ariely; Tanya Nazaretsky; Giora Alexandron (Int. J. Artif. Intell. Educ., 2023)

WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community. - Zahava Scherz; Asaf Salman; Giora Alexandron; Yael Shwartz (Int. J. Artif. Intell. Educ., 2023)

Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. - Abigail Gurin Schleifer; Beata Beigman Klebanov; Moriah Ariely; Giora Alexandron (BEA, 2024)

Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. - Yael Feldman-Maggor; Tanya Nazaretsky; Giora Alexandron (CSEDU (1), 2024)

Mind the Gap: Confronting the Vast Divide Between CS Teaching and Machine Learning Pedagogy. - Shai Perach; Giora Alexandron (EC-TEL (1), 2024)

Recommending Is Reflecting: A Surprising Benefit of Social Recommender Systems for Teachers. - Elad Yacobson; Giora Alexandron (EC-TEL (2), 2024)

The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning. - Asaf Salman; Giora Alexandron (Comput. Educ. Artif. Intell., 2024)

A review of main issues regarding validity, reliability, generalizability, transferability, and applicability of log-based measurement of computer-assisted learning. - Arnon Hershkovitz; Giora Alexandron (Res. Pract. Technol. Enhanc. Learn., 2024)

A General Purpose Anomaly-Based Method for Detecting Cheaters in Online Courses. - Giora Alexandron; Aviram Berg; José A. Ruipérez-Valiente (IEEE Trans. Learn. Technol., 2024)

An evaluation of assessment stability in a massive open online course using item response theory. - Sa'ar Karp Gershon; Ella Anghel; Giora Alexandron (Educ. Inf. Technol., 2024)

Recommender systems for teachers: The relation between social ties and the effectiveness of socially-based features. - Elad Yacobson; Armando M. Toda; Alexandra I. Cristea; Giora Alexandron (Comput. Educ., 2024)

Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. - Tanja Käser; Giora Alexandron (Int. J. Artif. Intell. Educ., 2024)

Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments. - Alona Strugatski; Giora Alexandron (LAK, 2025)