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ORCIDMajd F. Sakr
Majd Sakr
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
[c57]Jacob Doughty
, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr:
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. ACE 2024: 114-123- [c56]Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé:
Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. AIED (1) 2024: 46-59 - [c55]Marshall An, Leah Teffera, Mahboobeh Mehrvarz, Bruce Li, Christopher Bogart, Majd Sakr, Bruce M. McLaren:
Leveraging Intelligent Tutoring Systems to Enhance Project-Based Learning in Workforce Training at Community Colleges. EC-TEL (2) 2024: 57-62 - [c54]Huy Anh Nguyen, Christopher Bogart, Jaromír Savelka, Adam Zhang, Majd Sakr:
Examining the Trade-Offs Between Simplified and Realistic Coding Environments in an Introductory Python Programming Class. EC-TEL (1) 2024: 315-329 - [c53]Christopher Bogart, Can Kültür, Eric Keylor, Jaromír Savelka, Majd Sakr:
Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming. ITiCSE (2) 2024 - [c52]Can Kültür, Jaromír Savelka, Christopher Bogart, Majd Sakr:
Designing Modular Auto-graded Programming Projects. ITiCSE (2) 2024 - [c51]Christopher Bogart, Marshall An, Eric Keylor, Pawanjeet Singh, Jaromír Savelka, Majd Sakr:
What Factors Influence Persistence in Project-based Programming Courses at Community Colleges? SIGCSE (1) 2024: 116-122 - [c50]Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr:
Understanding the Role of Temperature in Diverse Question Generation by GPT-4. SIGCSE (2) 2024: 1550-1551 - [c49]Aninditha Ramesh, Arav Agarwal, Jacob Arthur Doughty, Ketan Ramaneti, Jaromír Savelka, Majd Sakr:
A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education. SIGCSE Virtual (1) 2024 - [c48]Yifan Song, Yuanxin Wang, Marshall An, Christopher Bogart, Majd Sakr:
Programming Plagiarism Detection with Learner Data. SIGCSE (2) 2024: 1826-1827 - [c47]Ying-Jui Tseng, Ruiwei Xiao, Christopher Bogart, Jaromír Savelka, Majd Sakr:
Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners. SIGCSE (2) 2024: 1842-1843 - [i12]Dachi Chen, Weitian Ding, Chen Liang, Chang Xu, Junwei Zhang, Majd Sakr:
Accelerated Cloud for Artificial Intelligence (ACAI). CoRR abs/2401.16791 (2024) - [i11]Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr:
Understanding the Role of Temperature in Diverse Question Generation by GPT-4. CoRR abs/2404.09366 (2024) - [i10]Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd F. Sakr, Carolyn P. Rosé:
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. CoRR abs/2404.18262 (2024) - 2023
- [c46]Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr:
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. LLM@AIED 2023: 139-150 - [c45]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr:
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. CSEDU (2) 2023: 47-58 - [c44]Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr:
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. ICER (1) 2023: 78-92 - [c43]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr:
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? ITiCSE (1) 2023: 117-123 - [i9]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr:
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code. CoRR abs/2303.08033 (2023) - [i8]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr:
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? CoRR abs/2303.09325 (2023) - [i7]Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr:
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. CoRR abs/2306.10073 (2023) - [i6]Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr:
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. CoRR abs/2306.17459 (2023) - [i5]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr:
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education. CoRR abs/2311.09518 (2023) - [i4]Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr:
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. CoRR abs/2312.03173 (2023) - 2022
- [j4]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher A. Bogart, R. Charles Murray, Michael Hilton, Majd F. Sakr, Carolyn P. Rosé:
Collaborative Programming for Work-Relevant Learning: Comparing Programming Practice With Example-Based Reflection for Student Learning and Transfer Task Performance. IEEE Trans. Learn. Technol. 15(5): 594-604 (2022) - [c42]Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg:
Towards Automated Generation and Evaluation of Questions in Educational Domains. EDM 2022 - [c41]Jiameng Du, Yifan Song, Mingxiao An, Marshall An, Christopher Bogart, Majd Sakr:
Cheating Detection in Online Assessments via Timeline Analysis. SIGCSE (1) 2022: 98-104 - 2021
- [c40]Halim-Antoine Boukaram, Micheline Ziadee, Majd F. Sakr:
Mitigating the Effects of Delayed Virtual Agent Response Time Using Conversational Fillers. HAI 2021: 130-138 - [c39]James H. Paterson, Joshua Adams, Laurie White, Andrew Csizmadia, Deger Cenk Erdil, Derek Foster, Mark Hills, Zain Kazmi, Karthik Kuber, Sajid Nazir, Majd Sakr, Lee Stott:
Designing Dissemination and Validation of a Framework for Teaching Cloud Fundamentals. ITiCSE-WGR 2021: 163-181 - [c38]Mingxiao An, Hongyi Zhang, Jaromír Savelka, Shijie Zhu, Chris Bogart, Majd Sakr:
Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses? ITiCSE (1) 2021: 324-330 - [c37]James H. Paterson, Joshua Adams, Laurie White, Andrew Csizmadia, Deger Cenk Erdil, Derek Foster, Mark Hills, Zain Kazmi, Karthik Kuber, Sajid Nazir, Majd Sakr, Lee Stott:
Planning a Conceptual Framework Approach for Teaching Cloud Fundamentals. ITiCSE (2) 2021: 605-606 - [c36]Huy Anh Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr, John C. Stamper:
Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course. LAK 2021: 632-638 - [c35]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale. L@S 2021: 255-258 - [i3]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Haokang An, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects. CoRR abs/2107.00218 (2021) - 2020
- [c34]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming. AIED (2) 2020: 273-278 - [c33]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects. ICLS 2020 - [c32]Joshua Adams, Brian Hainey, Laurie White, Derek Foster, Narine Hall, Mark Hills, Sara Hooshangi, Karthik Kuber, Sajid Nazir, Majd Sakr, Lee Stott, Carmen Taglienti:
Cloud Computing Curriculum: Developing Exemplar Modules for General Course Inclusion. ITiCSE-WGR 2020: 151-172 - [c31]Xiangyu Song, Seth Copen Goldstein, Majd Sakr:
Using Peer Code Review as an Educational Tool. ITiCSE 2020: 173-179 - [c30]Joshua Adams, Brian Hainey, Laurie White, Derek Foster, Narine Hall, Mark Hills, Sara Hooshangi, Karthik Kuber, Sajid Nazir, Majd Sakr, Lee Stott, Carmen Taglienti:
Cloud Computing Curriculum: Developing Exemplar Modules for General Course Inclusion. ITiCSE 2020: 510-511
2010 – 2019
- 2019
- [j3]Fan Zhang, Majd F. Sakr, Kai Hwang, Samee U. Khan:
Empirical Discovery of Power-Law Distribution in MapReduce Scalability. IEEE Trans. Cloud Comput. 7(3): 744-755 (2019) - [c29]Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Marshall An, Clarence Ngoh, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
An Intelligent-Agent Facilitated Scaffold for Fostering Reflection in a Team-Based Project Course. AIED (2) 2019: 252-256 - [c28]Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Haokang An, Clarence Ngoh, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Online Mob Programming: Bridging the 21st Century Workplace and the Classroom. CSCL 2019 - [c27]Dimitra Tsovaltzi, Armin Weinberger, Lara Johanna Schmitt, Henrik Bellhäuser, Adrienne Müller, Johannes Konert, René Röpke, Hannie Gijlers, Elise H. Eshuis, Tessa H. S. Eysink, Melanie Erkens, Sven Manske, Heinz Ulrich Hoppe, Daniel Bodemer, Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Michael Hilton, Carolyn P. Rosé:
Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration. CSCL 2019 - [c26]Derek Foster, Laurie White, Deger Cenk Erdil, Joshua Adams, Amadeo Argüelles, Brian Hainey, Harvey S. Hyman, Gareth Lewis, Sajid Nazir, Manh Van Nguyen, Majd Sakr, Lee Stott:
Toward a Cloud Computing Learning Community. ITiCSE-WGR 2019: 143-155 - [c25]Seth Copen Goldstein, Hongyi Zhang, Majd Sakr, Haokang An, Cameron Dashti:
Understanding How Work Habits influence Student Performance. ITiCSE 2019: 154-160 - [c24]Deger Cenk Erdil, Laurie White, Derek Foster, Joshua Adams, Amadeo José Argüelles-Cruz, Brian Hainey, Harvey S. Hyman, Gareth Lewis, Sajid Nazir, Manh Van Nguyen, Majd Sakr, Lee Stott:
Toward Developing a Cloud Computing Model Curriculum. ITiCSE 2019: 255-256 - 2018
- [c23]Halim Boukaram, Nizar Habash, Micheline Ziadee, Majd F. Sakr:
Improving Domain Independent Question Parsing with Synthetic Treebanks. LAW-MWE-CxG@COLING 2018: 214-221 - [c22]Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Carolyn Penstein Rosé:
When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course. AIED (1) 2018: 518-531 - [c21]Derek Foster, Laurie White, Joshua Adams, Deger Cenk Erdil, Harvey S. Hyman, Stan Kurkovsky, Majd Sakr, Lee Stott:
Cloud computing: developing contemporary computer science curriculum for a cloud-first future. ITiCSE (Companion) 2018: 130-147 - [c20]Derek Foster, Laurie White, Joshua Adams, Deger Cenk Erdil, Harvey S. Hyman, Stan Kurkovsky, Majd Sakr, Lee Stott:
Cloud computing: developing contemporary computer science curriculum for a cloud-first future. ITiCSE 2018: 346-347 - 2016
- [c19]Mohammad Obaid, Maha Salem, Micheline Ziadee, Halim Boukaram, Elena Moltchanova, Majd F. Sakr:
Investigating Effects of Professional Status and Ethnicity in Human-Agent Interaction. HAI 2016: 179-186 - 2015
- [c18]Sean Andrist, Micheline Ziadee, Halim Boukaram, Bilge Mutlu, Majd F. Sakr:
Effects of Culture on the Credibility of Robot Speech: A Comparison between English and Arabic. HRI 2015: 157-164 - [c17]M. Suhail Rehman, Jason Boles, Mohammad Hammoud, Majd F. Sakr:
A Cloud Computing Course: From Systems to Services. SIGCSE 2015: 338-343 - 2014
- [c16]Fan Zhang, Majd F. Sakr:
Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds. IEEE CLOUD 2014: 456-465 - [c15]Maha Salem, Micheline Ziadee, Majd F. Sakr:
Marhaba, how may i help you?: effects of politeness and culture on robot acceptance and anthropomorphization. HRI 2014: 74-81 - [p2]Mohammad Hammoud, Majd F. Sakr:
Distributed Programming for the Cloud: Models, Challenges, and Analytics Engines. Large Scale and Big Data 2014: 1-38 - [p1]Mohammad Hammoud, Majd F. Sakr:
Virtualizing Resources for the Cloud. Large Scale and Big Data 2014: 495-534 - 2013
- [c14]Mohammad Hammoud, Majd F. Sakr:
MC2: Map Concurrency Characterization for MapReduce on the Cloud. IEEE CLOUD 2013: 17-26 - [c13]Fan Zhang, Majd F. Sakr:
Cluster-Size Scaling and MapReduce Execution Times. CloudCom (1) 2013: 240-249 - [c12]Maxim Makatchev, Reid G. Simmons, Majd F. Sakr, Micheline Ziadee:
Expressing ethnicity through behaviors of a robot character. HRI 2013: 357-364 - [c11]Fan Zhang, Majd F. Sakr:
Dataset Scaling and MapReduce Performance. IPDPS Workshops 2013: 1683-1690 - [c10]Maha Salem, Micheline Ziadee, Majd F. Sakr:
Effects of Politeness and Interaction Context on Perception and Experience of HRI. ICSR 2013: 531-541 - [i2]Maxim Makatchev, Reid G. Simmons, Majd F. Sakr, Micheline Ziadee:
Expressing Ethnicity through Behaviors of a Robot Character. CoRR abs/1303.3592 (2013) - 2012
- [c9]Mohammad Hammoud, M. Suhail Rehman, Majd F. Sakr:
Center-of-Gravity Reduce Task Scheduling to Lower MapReduce Network Traffic. IEEE CLOUD 2012: 49-58 - [i1]Maxim Makatchev, Reid G. Simmons, Majd F. Sakr:
A Cross-cultural Corpus of Annotated Verbal and Nonverbal Behaviors in Receptionist Encounters. CoRR abs/1203.2299 (2012) - 2011
- [j2]Reid G. Simmons, Maxim Makatchev, Rachel Kirby, Min Kyung Lee, Imran Fanaswala, Brett Browning, Jodi Forlizzi, Majd F. Sakr:
Believable Robot Characters. AI Mag. 32(4): 39-52 (2011) - [c8]Mohammad Hammoud, Majd F. Sakr:
Locality-Aware Reduce Task Scheduling for MapReduce. CloudCom 2011: 570-576 - [c7]Imran Fanaswala, Brett Browning, Majd F. Sakr:
Interactional disparities in english and arabic native speakers with a bi-lingual robot receptionist. HRI 2011: 133-134 - 2010
- [c6]M. Suhail Rehman, Majd F. Sakr:
Initial Findings for Provisioning Variation in Cloud Computing. CloudCom 2010: 473-479 - [c5]Maxim Makatchev, Imran Fanaswala, Ameer Abdulsalam, Brett Browning, Wael Ghazzawi, Majd F. Sakr, Reid G. Simmons:
Dialogue patterns of an arabic robot receptionist. HRI 2010: 167-168
2000 – 2009
- 2000
- [c4]Mihai Budiu, Majd F. Sakr, Kip Walker, Seth Copen Goldstein:
BitValue Inference: Detecting and Exploiting Narrow Bitwidth Computations. Euro-Par 2000: 969-979
1990 – 1999
- 1998
- [c3]Majd F. Sakr, Steven P. Levitan, C. Lee Giles, Donald M. Chiarulli:
Reconfigurable Processor Architectures Exploiting High Bandwidth Optical Channels. FCCM 1998: 275-276 - 1997
- [c2]Majd F. Sakr, Steven P. Levitan, Donald M. Chiarulli, Bill G. Horne, C. Lee Giles:
Predicting Multiprocessor Memory Access Patterns with Learning Models. ICML 1997: 305-312 - 1996
- [c1]Majd F. Sakr, C. Lee Giles, Steven P. Levitan, Bill G. Horne, Marco Maggini, Donald M. Chiarulli:
Online prediction of multiprocessor memory access patterns. ICNN 1996: 1564-1569 - 1994
- [j1]Donald M. Chiarulli, Steven P. Levitan, Rami G. Melhem, Manoj Bidnurkar, Robert Ditmore, Gregory Gravenstreter, Zicheng Guo, Chungming Qiao, Majd F. Sakr, James P. Teza:
Optoelectronic buses for high-performance computing. Proc. IEEE 82(11): 1701-1710 (1994)
Coauthor Index
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