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Giora Alexandron
Giora Alexandron
Assistant Professor, Weizmann Institute of Science
Dirección de correo verificada de weizmann.ac.il - Página principal
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Teachers' trust in AI‐powered educational technology and a professional development program to improve it
T Nazaretsky, M Ariely, M Cukurova, G Alexandron
British journal of educational technology 53 (4), 914-931, 2022
882022
Copying@ Scale: Using harvesting accounts for collecting correct answers in a MOOC
G Alexandron, JA Ruipérez-Valiente, Z Chen, PJ Muñoz-Merino, ...
Computers & Education 108, 96-114, 2017
752017
Using machine learning to detect ‘multiple-account’cheating and analyze the influence of student and problem features
JA Ruiperez-Valiente, PJ Munoz-Merino, G Alexandron, DE Pritchard
IEEE transactions on learning technologies 12 (1), 112-122, 2017
682017
An instrument for measuring teachers’ trust in AI-based educational technology
T Nazaretsky, M Cukurova, G Alexandron
LAK22: 12th international learning analytics and knowledge conference, 56-66, 2022
582022
Scenario-based programming: Reducing the cognitive load, fostering abstract thinking
G Alexandron, M Armoni, M Gordon, D Harel
Companion Proceedings of the 36th International Conference on Software …, 2014
512014
Are MOOC learning analytics results trustworthy? With fake learners, they might not be!
G Alexandron, LY Yoo, JA Ruipérez-Valiente, S Lee, DE Pritchard
International journal of artificial intelligence in education 29, 484-506, 2019
502019
Using multiple accounts for harvesting solutions in MOOCs
JA Ruipérez-Valiente, G Alexandron, Z Chen, DE Pritchard
Proceedings of the third (2016) ACM conference on learning@ scale, 63-70, 2016
422016
Researching for better instructional methods using AB experiments in MOOCs: results and challenges
Z Chen, C Chudzicki, D Palumbo, G Alexandron, YJ Choi, Q Zhou, ...
Research and Practice in Technology Enhanced Learning 11, 1-20, 2016
322016
Machine learning and Hebrew NLP for automated assessment of open-ended questions in biology
M Ariely, T Nazaretsky, G Alexandron
International journal of artificial intelligence in education 33 (1), 1-34, 2023
312023
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics.
G Alexandron, S Lee, Z Chen, DE Pritchard
UMAP (Extended Proceedings), 2016
262016
Assessment that matters: Balancing reliability and learner-centered pedagogy in MOOC assessment
G Alexandron, ME Wiltrout, A Berg, JA Ruipérez-Valiente
Proceedings of the tenth international conference on learning analytics …, 2020
252020
The effect of previous programming experience on the learning of scenario-based programming
G Alexandron, M Armoni, M Gordon, D Harel
Proceedings of the 12th Koli Calling International Conference on Computing …, 2012
252012
Empowering teachers with AI: Co-designing a learning analytics tool for personalized instruction in the science classroom
T Nazaretsky, C Bar, M Walter, G Alexandron
LAK22: 12th International Learning Analytics and Knowledge Conference, 1-12, 2022
222022
Confirmation bias and trust: human factors that influence teachers' attitudes towards AI-based educational technology
T Nazaretsky, M Cukurova, M Ariely, G Alexandron
CEUR Workshop Proceedings 3042, 2021
212021
Kinetic and dynamic data structures for convex hulls and upper envelopes
G Alexandron, H Kaplan, M Sharir
Computational Geometry 36 (2), 144-158, 2007
212007
Towards a general purpose anomaly detection method to identify cheaters in massive open online courses
G Alexandron, JA Ruipérez-Valiente, DE Pritchard
OSF, 2019
172019
Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data.
T Nazaretsky, S Hershkovitz, G Alexandron
International Educational Data Mining Society, 2019
162019
De-identification is Insufficient to Protect Student Privacy, or–What Can a Field Trip Reveal?
E Yacobson, O Fuhrman, S Hershkovitz, G Alexandron
Journal of Learning Analytics 8 (2), 83-92, 2021
132021
Teaching scenario-based programming: An additional paradigm for the high school computer science curriculum, Part 1
G Alexandron, M Armoni, M Gordon, D Harel
Computing in Science & Engineering 19 (5), 58-67, 2017
102017
Defining and measuring completion and assessment biases with respect to English language and development status: Not all MOOCs are equal
S Karp Gershon, JA Ruipérez-Valiente, G Alexandron
International Journal of Educational Technology in Higher Education 18, 1-21, 2021
92021
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Artículos 1–20