Giora Alexandron

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 41

Top Topics

Item Response Theory

Educational Technology

Learning Resources

Top Venues

Int. J. Artif. Intell. Educ.

J. Comput. Assist. Learn.

Publications

Sa'ar Karp Gershon, Ella Anghel, Giora Alexandron
An evaluation of assessment stability in a massive open online course using item response theory. Educ. Inf. Technol. 29 (3) (2024)
Giora Alexandron, Aviram Berg, José A. Ruipérez Valiente
A General Purpose Anomaly-Based Method for Detecting Cheaters in Online Courses. IEEE Trans. Learn. Technol. 17 (2024)
Arnon Hershkovitz, Giora Alexandron
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. 20 (2024)
Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. CoRR (2024)
Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
Recommender systems for teachers: The relation between social ties and the effectiveness of socially-based features. Comput. Educ. 210 (2024)
Yael Feldman-Maggor, Tanya Nazaretsky, Giora Alexandron
Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. CSEDU (1) (2024)
Tanja Käser, Giora Alexandron
Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. Int. J. Artif. Intell. Educ. 34 (2) (2024)
Zahava Scherz, Asaf Salman, Giora Alexandron, Yael Shwartz
WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community. Int. J. Artif. Intell. Educ. 33 (4) (2023)
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
Teachers' trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries. CoRR (2023)
Giora Alexandron, Mary Ellen Wiltrout, Aviram Berg, Sa'ar Karp Gershon, José A. Ruipérez Valiente
The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs. J. Comput. Assist. Learn. 39 (1) (2023)
Elad Yacobson, Giora Alexandron
How Do Teachers Search for Learning Resources? A Mixed Method Field Study. EC-TEL (2023)
Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
Transformer-based Hebrew NLP models for Short Answer Scoring in Biology. BEA@ACL (2023)
Brad Din, Tanya Nazaretsky, Yael Feldman-Maggor, Giora Alexandron
Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data. EDM (2023)
Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron
Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer. EDM (2023)
Moriah Ariely, Tanya Nazaretsky, Giora Alexandron
Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology. Int. J. Artif. Intell. Educ. 33 (1) (2023)
Daniel Alberto Jaramillo-Morillo, José A. Ruipérez Valiente, Claudia Patricia Burbano Astaiza, Mario Solarte, Gustavo-Adolfo Ramírez-González, Giora Alexandron
Evaluating a learning analytics dashboard to detect dishonest behaviours: A case study in small private online courses with academic recognition. J. Comput. Assist. Learn. 38 (6) (2022)
Isabel Hilliger, José A. Ruipérez Valiente, Giora Alexandron, Dragan Gasevic
Trustworthy remote assessments: A typology of pedagogical and technological strategies. J. Comput. Assist. Learn. 38 (6) (2022)
Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations. AIED (2) (2022)
Tanya Nazaretsky, Carmel Bar, Michal Walter, Giora Alexandron
Empowering Teachers with AI: Co-Designing a Learning Analytics Tool for Personalized Instruction in the Science Classroom. LAK (2022)
Tanya Nazaretsky, Moriah Ariely, Mutlu Cukurova, Giora Alexandron
Teachers' trust in AI-powered educational technology and a professional development program to improve it. Br. J. Educ. Technol. 53 (4) (2022)
Shai Perach, Giora Alexandron
A Blended-Learning Program for Implementing a Rigorous Machine-Learning Curriculum in High-Schools. L@S (2022)
Tanya Nazaretsky, Mutlu Cukurova, Giora Alexandron
An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology. LAK (2022)
Shai Perach, Giora Alexandron
A MOOC-Based Computer Science Program for Middle School: Results, Challenges, and the Covid-19 Effect. EMOOCs (2021)
Sa'ar Karp Gershon, José A. Ruipérez Valiente, Giora Alexandron
MOOC Monetization Changes and Completion Rates: Are Learners from Countries of Different Development Status Equally Affected? EMOOCs (2021)
Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design. ITS (2021)
Elad Yacobson, Orly Fuhrman, Sara Hershkovitz, Giora Alexandron
De-identification is Insufficient to Protect Student Privacy, or - What Can a Field Trip Reveal? J. Learn. Anal. 8 (2) (2021)
Moriah Ariely, Tanya Nazaretsky, Giora Alexandron
First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew. EDM (2020)
Giora Alexandron, Mary Ellen Wiltrout, Aviram Berg, José A. Ruipérez Valiente
Assessment that matters: balancing reliability and learner-centered pedagogy in MOOC assessment. LAK (2020)
José A. Ruipérez Valiente, Pedro J. Muñoz Merino, Giora Alexandron, David E. Pritchard
Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features. IEEE Trans. Learn. Technol. 12 (1) (2019)
Giora Alexandron, José A. Ruipérez Valiente, David E. Pritchard
Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. EDM (2019)
Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron
Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. EDM (2019)
Giora Alexandron, Lisa Y. Yoo, José A. Ruipérez Valiente, Sunbok Lee, David E. Pritchard
Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be! Int. J. Artif. Intell. Educ. 29 (4) (2019)
Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron
Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data. CoRR (2018)
Giora Alexandron, José A. Ruipérez Valiente, Sunbok Lee, David E. Pritchard
Evaluating the Robustness of Learning Analytics Results Against Fake Learners. EC-TEL (2018)
Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 1. Comput. Sci. Eng. 19 (5) (2017)
Giora Alexandron, José A. Ruipérez Valiente, Zhongzhou Chen, Pedro J. Muñoz Merino, David E. Pritchard
Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC. Comput. Educ. 108 (2017)
Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
Teaching Scenario-Based Programming: An Additional Paradigm for the High School Computer Science Curriculum, Part 2. Comput. Sci. Eng. 19 (6) (2017)
Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. UMAP (Extended Proceedings) (2016)
Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
Teaching Nondeterminism Through Programming. Informatics Educ. 15 (1) (2016)
José A. Ruipérez Valiente, Giora Alexandron, Zhongzhou Chen, David E. Pritchard
Using Multiple Accounts for Harvesting Solutions in MOOCs. L@S (2016)
Zhongzhou Chen, Christopher Chudzicki, Daniel Palumbo, Giora Alexandron, Youn-Jeng Choi, Qian Zhou, David E. Pritchard
Researching for better instructional methods using AB experiments in MOOCs: results and challenges. Res. Pract. Technol. Enhanc. Learn. 11 (1) (2016)
Giora Alexandron, Qian Zhou, David E. Pritchard
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach. EDM (2015)
Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
Scenario-based programming: reducing the cognitive load, fostering abstract thinking. ICSE Companion (2014)
Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
Scenario-Based Programming, Usability-Oriented Perception. ACM Trans. Comput. Educ. 14 (3) (2014)
Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
On teaching programming with nondeterminism. WiPSCE (2013)
Giora Alexandron, Michal Armoni, Michal Gordon, David Harel
The effect of previous programming experience on the learning of scenario-based programming. Koli Calling (2012)
Giora Alexandron, Michal Armoni, David Harel
Programming with the user in mind. PPIG (2011)
Aaron Rich, Giora Alexandron, Reuven Naveh
An Explanation-Based Constraint Debugger. Haifa Verification Conference (2009)
Giora Alexandron, Haim Kaplan, Micha Sharir
Kinetic and dynamic data structures for convex hulls and upper envelopes. Comput. Geom. 36 (2) (2007)
Giora Alexandron, Haim Kaplan, Micha Sharir
Kinetic and Dynamic Data Structures for Convex Hulls and Upper Envelopes. WADS (2005)