Giora Alexandron
Giora Alexandron
Assistant Professor, Weizmann Institute of Science
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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
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
Using multiple accounts for harvesting solutions in MOOCs
JA Ruiperez-Valiente, G Alexandron, Z Chen, DE Pritchard
Proceedings of the third (2016) ACM conference on learning@ scale, 63-70, 2016
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), 1-20, 2016
Using machine learning to detect ‘multiple-account’cheating and analyze the influence of student and problem features
JA Ruiperez-Valiente, PJ Muñoz-Merino, G Alexandron, DE Pritchard
IEEE transactions on learning technologies 12 (1), 112-122, 2017
Kinetic and dynamic data structures for convex hulls and upper envelopes
G Alexandron, H Kaplan, M Sharir
Computational Geometry 36 (2), 144-158, 2007
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
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics.
G Alexandron, S Lee, Z Chen, DE Pritchard
UMAP (Extended Proceedings), 2016
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 (4), 484-506, 2019
Kinetic and dynamic data structures for convex hulls and upper envelopes
G Alexandron, H Kaplan, M Sharir
Workshop on Algorithms and Data Structures, 269-281, 2005
An explanation-based constraint debugger
A Rich, G Alexandron, R Naveh
Haifa Verification Conference, 52-56, 2009
Towards a general purpose anomaly detection method to identify cheaters in massive open online courses
G Alexandron, JA Ruipérez-Valiente, DE Pritchard
EdArXiv, 2020
Evidence of MOOC students using multiple accounts to harvest correct answers
G Alexandron, JA Ruipérez-Valiente, DE Pritchard
Discovering the Pedagogical Resources that Assist Students in Answering Questions Correctly—A Machine Learning Approach
G Alexandron, Q Zhou, D Pritchard
Proceedings of the 8th international conference on educational data mining …, 2015
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
Validating the pre/post-test in a MOOC environment
C Chudzicki, Z Chen, Q Zhou, G Alexandron, DE Pritchard
Proceedings of the 2015 Physics Education Research Conference, 83-86, 2015
Programming with the user in mind.
G Alexandron, M Armoni, D Harel
PPIG, 10, 2011
On teaching programming with nondeterminism
G Alexandron, M Armoni, M Gordon, D Harel
Proceedings of the 8th Workshop in Primary and Secondary Computing Education …, 2013
Evaluating the effectiveness of animated cartoons in an intelligent math tutoring system using educational data mining
G Alexandron, G Keinan, B Levy, S Hershkovitz
EdMedia+ Innovate Learning, 719-730, 2018
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
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