| 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 | 117 | 2022 |
| 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 | 78 | 2017 |
| 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 | 70 | 2022 |
| 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 | 67 | 2017 |
| 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 | 53 | 2019 |
| 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 | 51 | 2014 |
| 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 | 43 | 2016 |
| 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 | 36 | 2023 |
| 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 | 33 | 2016 |
| 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 | 31 | 2021 |
| 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 | 27 | 2022 |
| Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. G Alexandron, S Lee, Z Chen, DE Pritchard UMAP (Extended Proceedings), 2016 | 27 | 2016 |
| 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 | 26 | 2020 |
| 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 | 24 | 2012 |
| Kinetic and dynamic data structures for convex hulls and upper envelopes G Alexandron, H Kaplan, M Sharir Computational Geometry 36 (2), 144-158, 2007 | 21 | 2007 |
| 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 | 17 | 2019 |
| Towards a general purpose anomaly detection method to identify cheaters in massive open online courses G Alexandron, JA Ruipérez-Valiente, DE Pritchard OSF, 2019 | 17 | 2019 |
| 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 | 16 | 2021 |
| 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 | 10 | 2017 |
| 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 | 9 | 2021 |
José A. Ruipérez-ValienteAssociate Professor, University of Murcia在 um.es 的电子邮件经过验证
