Giora Alexandron

61 papers A 4B 13Journal 30Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessment Design in the AI Era: A Method for Identifying Items Functioning Differentially for Humans and Chatbots. CoRR Licol Zeinfeld, Alona Strugatski, Ziva Bar-Dov, Ron Blonder, Shelley Rap, Giora Alexandron
2025	A	`conf`	Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments. LAK Alona Strugatski, Giora Alexandron
2025	B	`ed.`	Proceedings of the 18th International Conference on Educational Data Mining, EDM 2025, Palermo, Italy, July 20-23, 2025 EDM Caitlin Mills, Giora Alexandron, Davide Taibi, Giosuè Lo Bosco, Luc Paquette
2025	J	`jnl`	The Impact of Explainable AI on Teachers' Trust and Acceptance of AI EdTech Recommendations: The Power of Domain-specific Explanations. Int. J. Artif. Intell. Educ. Yael Feldman-Maggor, Mutlu Cukurova, Carmel Kent, Giora Alexandron
2025	J	`jnl`	Uncovering Measurement Biases in LLM Embedding Spaces: The Anna Karenina Principle and Its Implications for Automated Feedback. Int. J. Artif. Intell. Educ. Abigail Gurin Schleifer, Beata Beigman Klebanov, Giora Alexandron
2025	J	`jnl`	What Explains Teachers' Trust in AI in Education Across Six Countries? Int. J. Artif. Intell. Educ. 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
2024	J	`jnl`	A General Purpose Anomaly-Based Method for Detecting Cheaters in Online Courses. IEEE Trans. Learn. Technol. Giora Alexandron, Aviram Berg, José A. Ruipérez-Valiente
2024	J	`jnl`	A review of main issues regarding validity, reliability, generalizability, transferability, and applicability of log-based measurement of computer-assisted learning. Res. Pract. Technol. Enhanc. Learn. Arnon Hershkovitz, Giora Alexandron
2024	J	`jnl`	An evaluation of assessment stability in a massive open online course using item response theory. Educ. Inf. Technol. Sa'ar Karp Gershon, Ella Anghel, Giora Alexandron
2024	—	`conf`	Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. BEA Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
2024	J	`jnl`	Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. CoRR Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
2024	J	`jnl`	Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments. CoRR Alona Strugatski, Giora Alexandron
2024	—	`conf`	Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. CSEDU (1) Yael Feldman-Maggor, Tanya Nazaretsky, Giora Alexandron
2024	—	`conf`	Mind the Gap: Confronting the Vast Divide Between CS Teaching and Machine Learning Pedagogy. EC-TEL (1) Shai Perach, Giora Alexandron
2024	J	`jnl`	Recommender systems for teachers: The relation between social ties and the effectiveness of socially-based features. Comput. Educ. Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
2024	—	`conf`	Recommending Is Reflecting: A Surprising Benefit of Social Recommender Systems for Teachers. EC-TEL (2) Elad Yacobson, Giora Alexandron
2024	J	`jnl`	Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. Int. J. Artif. Intell. Educ. Tanja Käser, Giora Alexandron
2024	J	`jnl`	The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning. Comput. Educ. Artif. Intell. Asaf Salman, Giora Alexandron
2023	B	`conf`	Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data. EDM Brad Din, Tanya Nazaretsky, Yael Feldman-Maggor, Giora Alexandron
2023	B	`conf`	How Do Teachers Search for Learning Resources? A Mixed Method Field Study. EC-TEL Elad Yacobson, Giora Alexandron
2023	J	`jnl`	Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology. Int. J. Artif. Intell. Educ. Moriah Ariely, Tanya Nazaretsky, Giora Alexandron
2023	J	`jnl`	Teachers' trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries. CoRR 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
2023	J	`jnl`	The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs. J. Comput. Assist. Learn. Giora Alexandron, Mary Ellen Wiltrout, Aviram Berg, Sa'ar Karp Gershon, José A. Ruipérez-Valiente
2023	B	`conf`	Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer. EDM Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron
2023	—	`conf`	Transformer-based Hebrew NLP models for Short Answer Scoring in Biology. BEA@ACL Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
2023	J	`jnl`	WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community. Int. J. Artif. Intell. Educ. Zahava Scherz, Asaf Salman, Giora Alexandron, Yael Shwartz
2022	B	`conf`	A Blended-Learning Program for Implementing a Rigorous Machine-Learning Curriculum in High-Schools. L@S Shai Perach, Giora Alexandron
2022	A	`conf`	An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology. LAK Tanya Nazaretsky, Mutlu Cukurova, Giora Alexandron
2022	—	`conf`	Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations. AIED (2) Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
2022	A	`conf`	Empowering Teachers with AI: Co-Designing a Learning Analytics Tool for Personalized Instruction in the Science Classroom. LAK Tanya Nazaretsky, Carmel Bar, Michal Walter, Giora Alexandron
2022	J	`jnl`	Evaluating a learning analytics dashboard to detect dishonest behaviours: A case study in small private online courses with academic recognition. J. Comput. Assist. Learn. Daniel Alberto Jaramillo-Morillo, José A. Ruipérez-Valiente, Claudia Patricia Burbano Astaiza, Mario Solarte, Gustavo-Adolfo Ramírez-González, Giora Alexandron
2022	J	`jnl`	Teachers' trust in AI-powered educational technology and a professional development program to improve it. Br. J. Educ. Technol. Tanya Nazaretsky, Moriah Ariely, Mutlu Cukurova, Giora Alexandron
2022	J	`jnl`	Trustworthy remote assessments: A typology of pedagogical and technological strategies. J. Comput. Assist. Learn. Isabel Hilliger, José A. Ruipérez-Valiente, Giora Alexandron, Dragan Gasevic
2021	—	`conf`	A MOOC-Based Computer Science Program for Middle School: Results, Challenges, and the Covid-19 Effect. EMOOCs Shai Perach, Giora Alexandron
2021	J	`jnl`	De-identification is Insufficient to Protect Student Privacy, or - What Can a Field Trip Reveal? J. Learn. Anal. Elad Yacobson, Orly Fuhrman, Sara Hershkovitz, Giora Alexandron
2021	B	`conf`	Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design. ITS Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
2021	—	`conf`	MOOC Monetization Changes and Completion Rates: Are Learners from Countries of Different Development Status Equally Affected? EMOOCs Sa'ar Karp Gershon, José A. Ruipérez-Valiente, Giora Alexandron
2020	A	`conf`	Assessment that matters: balancing reliability and learner-centered pedagogy in MOOC assessment. LAK Giora Alexandron, Mary Ellen Wiltrout, Aviram Berg, José A. Ruipérez-Valiente
2020	B	`conf`	First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew. EDM Moriah Ariely, Tanya Nazaretsky, Giora Alexandron
2019	J	`jnl`	Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be! Int. J. Artif. Intell. Educ. Giora Alexandron, Lisa Y. Yoo, José A. Ruipérez-Valiente, Sunbok Lee, David E. Pritchard
2019	B	`conf`	Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. EDM Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron
2019	B	`conf`	Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. EDM Giora Alexandron, José A. Ruipérez-Valiente, David E. Pritchard
2019	J	`jnl`	Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features. IEEE Trans. Learn. Technol. José A. Ruipérez-Valiente, Pedro J. Muñoz Merino, Giora Alexandron, David E. Pritchard
2018	B	`conf`	Evaluating the Robustness of Learning Analytics Results Against Fake Learners. EC-TEL Giora Alexandron, José A. Ruipérez-Valiente, Sunbok Lee, David E. Pritchard
2018	J	`jnl`	Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data. CoRR Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron
2017	J	`jnl`	Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC. Comput. Educ. Giora Alexandron, José A. Ruipérez-Valiente, Zhongzhou Chen, Pedro J. Muñoz Merino, David E. Pritchard
2017	J	`jnl`	Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 1. Comput. Sci. Eng. Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
2017	J	`jnl`	Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 2. Comput. Sci. Eng. Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
2016	—	`conf`	Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. UMAP (Extended Proceedings) Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard
2016	J	`jnl`	Researching for better instructional methods using AB experiments in MOOCs: results and challenges. Res. Pract. Technol. Enhanc. Learn. Zhongzhou Chen, Christopher Chudzicki, Daniel Palumbo, Giora Alexandron, Youn-Jeng Choi, Qian Zhou, David E. Pritchard
2016	J	`jnl`	Teaching Nondeterminism Through Programming. Informatics Educ. Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
2016	B	`conf`	Using Multiple Accounts for Harvesting Solutions in MOOCs. L@S José A. Ruipérez-Valiente, Giora Alexandron, Zhongzhou Chen, David E. Pritchard
2015	B	`conf`	Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach. EDM Giora Alexandron, Qian Zhou, David E. Pritchard
2014	J	`jnl`	Scenario-Based Programming, Usability-Oriented Perception. ACM Trans. Comput. Educ. Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
2014	—	`conf`	Scenario-based programming: reducing the cognitive load, fostering abstract thinking. ICSE Companion Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
2013	—	`conf`	On teaching programming with nondeterminism. WiPSCE Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
2012	—	`conf`	The effect of previous programming experience on the learning of scenario-based programming. Koli Calling Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
2011	—	`conf`	Programming with the user in mind. PPIG Giora Alexandron, Michal Armoni, David Harel
2009	—	`conf`	An Explanation-Based Constraint Debugger. Haifa Verification Conference Aaron Rich, Giora Alexandron, Reuven Naveh
2007	J	`jnl`	Kinetic and dynamic data structures for convex hulls and upper envelopes. Comput. Geom. Giora Alexandron, Haim Kaplan, Micha Sharir
2005	B	`conf`	Kinetic and Dynamic Data Structures for Convex Hulls and Upper Envelopes. WADS Giora Alexandron, Haim Kaplan, Micha Sharir