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ORCIDGiora Alexandron
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2020 – today
- 2024
[j21]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): 545-585 (2024)- [j20]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: 104960 (2024) - [j19]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): 2625-2643 (2024) - [j18]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: 20 (2024) - [j17]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: 1-11 (2024) - [c29]Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron:
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. BEA 2024: 391-402 - [c28]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: 436-444 - [c27]Elad Yacobson, Giora Alexandron:
Recommending Is Reflecting: A Surprising Benefit of Social Recommender Systems for Teachers. EC-TEL (2) 2024: 195-200 - [c26]Shai Perach, Giora Alexandron:
Mind the Gap: Confronting the Vast Divide Between CS Teaching and Machine Learning Pedagogy. EC-TEL (1) 2024: 344-358 - [i3]Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron:
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. CoRR abs/2406.06599 (2024) - 2023
- [j16]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): 1-34 (2023) - [j15]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): 1120-1144 (2023) - [j14]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): 141-153 (2023) - [c25]Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron:
Transformer-based Hebrew NLP models for Short Answer Scoring in Biology. BEA@ACL 2023: 550-555 - [c24]Elad Yacobson, Giora Alexandron:
How Do Teachers Search for Learning Resources? A Mixed Method Field Study. EC-TEL 2023: 489-503 - [c23]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 - [c22]Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron:
Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer. EDM 2023 - [i2]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 abs/2312.01627 (2023) - 2022
- [j13]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): 914-931 (2022) - [j12]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): 1507-1520 (2022) - [j11]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): 1574-1588 (2022) - [c21]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: 391-395 - [c20]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: 1-12 - [c19]Tanya Nazaretsky, Mutlu Cukurova, Giora Alexandron:
An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology. LAK 2022: 56-66 - [c18]Shai Perach, Giora Alexandron:
A Blended-Learning Program for Implementing a Rigorous Machine-Learning Curriculum in High-Schools. L@S 2022: 267-270 - 2021
- [j10]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): 83-92 (2021) - [c17]Shai Perach, Giora Alexandron:
A MOOC-Based Computer Science Program for Middle School: Results, Challenges, and the Covid-19 Effect. EMOOCs 2021: 111-127 - [c16]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: 169-179 - [c15]Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron:
Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design. ITS 2021: 418-429 - 2020
- [c14]Moriah Ariely, Tanya Nazaretsky, Giora Alexandron:
First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew. EDM 2020 - [c13]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: 512-517
2010 – 2019
- 2019
- [j9]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): 484-506 (2019) - [j8]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): 112-122 (2019) - [c12]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 - [c11]Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron:
Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. EDM 2019 - 2018
- [c10]Giora Alexandron, José A. Ruipérez-Valiente, Sunbok Lee, David E. Pritchard:
Evaluating the Robustness of Learning Analytics Results Against Fake Learners. EC-TEL 2018: 74-87 - [i1]Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron:
Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data. CoRR abs/1812.08390 (2018) - 2017
- [j7]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: 96-114 (2017) - [j6]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): 58-67 (2017) - [j5]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): 64-71 (2017) - 2016
- [j4]Giora Alexandron, Michal Armoni, Michal Gordon, David Harel:
Teaching Nondeterminism Through Programming. Informatics Educ. 15(1): 1-23 (2016) - [j3]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): 9 (2016) - [c9]José A. Ruipérez-Valiente, Giora Alexandron, Zhongzhou Chen, David E. Pritchard:
Using Multiple Accounts for Harvesting Solutions in MOOCs. L@S 2016: 63-70 - [c8]Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard:
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. UMAP (Extended Proceedings) 2016 - 2015
- [c7]Giora Alexandron, Qian Zhou, David E. Pritchard:
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach. EDM 2015: 520-523 - 2014
- [j2]Giora Alexandron, Michal Armoni, Michal Gordon, David Harel:
Scenario-Based Programming, Usability-Oriented Perception. ACM Trans. Comput. Educ. 14(3): 21:1-21:23 (2014) - [c6]Giora Alexandron, Michal Armoni, Michal Gordon, David Harel:
Scenario-based programming: reducing the cognitive load, fostering abstract thinking. ICSE Companion 2014: 311-320 - 2013
- [c5]Giora Alexandron, Michal Armoni, Michal Gordon, David Harel:
On teaching programming with nondeterminism. WiPSCE 2013: 71-74 - 2012
- [c4]Giora Alexandron, Michal Armoni, Michal Gordon, David Harel:
The effect of previous programming experience on the learning of scenario-based programming. Koli Calling 2012: 151-159 - 2011
- [c3]Giora Alexandron, Michal Armoni, David Harel:
Programming with the user in mind. PPIG 2011: 10
2000 – 2009
- 2009
- [c2]Aaron Rich, Giora Alexandron, Reuven Naveh:
An Explanation-Based Constraint Debugger. Haifa Verification Conference 2009: 52-56 - 2007
- [j1]Giora Alexandron, Haim Kaplan, Micha Sharir:
Kinetic and dynamic data structures for convex hulls and upper envelopes. Comput. Geom. 36(2): 144-158 (2007) - 2005
- [c1]Giora Alexandron, Haim Kaplan, Micha Sharir:
Kinetic and Dynamic Data Structures for Convex Hulls and Upper Envelopes. WADS 2005: 269-281
Coauthor Index
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last updated on 2024-09-28 01:30 CEST by the dblp team
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