Majd F. Sakr

According to our database, Majd F. Sakr authored at least 65 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerated Cloud for Artificial Intelligence (ACAI).

Dachi Chen, Weitian Ding, Chen Liang, Chang Xu, Junwei Zhang, Majd Sakr

CoRR, 2024

Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners.

Ying-Jui Tseng, Ruiwei Xiao, Christopher Bogart, Jaromír Savelka, Majd Sakr

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Programming Plagiarism Detection with Learner Data.

Yifan Song, Yuanxin Wang, Marshall An, Christopher Bogart, Majd Sakr

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education.

Aninditha Ramesh, Arav Agarwal, Jacob Arthur Doughty, Ketan Ramaneti, Jaromír Savelka, Majd Sakr

Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, 2024

What Factors Influence Persistence in Project-based Programming Courses at Community Colleges?

Christopher Bogart, Marshall An, Eric Keylor, Pawanjeet Singh, Jaromír Savelka, Majd Sakr

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Understanding the Role of Temperature in Diverse Question Generation by GPT-4.

Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Designing Modular Auto-graded Programming Projects.

Can Kültür, Jaromír Savelka, Christopher Bogart, Majd Sakr

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming.

Christopher Bogart, Can Kültür, Eric Keylor, Jaromír Savelka, Majd Sakr

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Examining the Trade-Offs Between Simplified and Realistic Coding Environments in an Introductory Python Programming Class.

Huy Anh Nguyen, Christopher Bogart, Jaromír Savelka, Adam Zhang, Majd Sakr

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Leveraging Intelligent Tutoring Systems to Enhance Project-Based Learning in Workforce Training at Community Colleges.

Marshall An, Leah Teffera, Mahboobeh Mehrvarz, Bruce Li, Christopher Bogart, Majd Sakr, Bruce M. McLaren

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning.

Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education.

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

Proceedings of the 26th Australasian Computing Education Conference, 2024

2023

From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education.

Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr

CoRR, 2023

Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?

Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses.

Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code.

Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr

Proceedings of the 15th International Conference on Computer Supported Education, 2023

Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives.

Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr

Proceedings of the Workshop on Empowering Education with LLMs, 2023

2022

Collaborative Programming for Work-Relevant Learning: Comparing Programming Practice With Example-Based Reflection for Student Learning and Transfer Task Performance.

Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher A. Bogart, R. Charles Murray, Michael Hilton, Majd F. Sakr, Carolyn P. Rosé

IEEE Trans. Learn. Technol., 2022

Cheating Detection in Online Assessments via Timeline Analysis.

Jiameng Du, Yifan Song, Mingxiao An, Marshall An, Christopher Bogart, Majd Sakr

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Towards Automated Generation and Evaluation of Questions in Educational Domains.

Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects.

Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Haokang An, Michael Hilton, Majd Sakr, Carolyn P. Rosé

CoRR, 2021

Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale.

Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course.

Huy Anh Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr, John C. Stamper

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Designing Dissemination and Validation of a Framework for Teaching Cloud Fundamentals.

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

Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education, 2021

Planning a Conceptual Framework Approach for Teaching Cloud Fundamentals.

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

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.2, Virtual Event, Germany, June 26, 2021

Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses?

Mingxiao An, Hongyi Zhang, Jaromír Savelka, Shijie Zhu, Chris Bogart, Majd Sakr

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

Mitigating the Effects of Delayed Virtual Agent Response Time Using Conversational Fillers.

Halim-Antoine Boukaram, Micheline Ziadee, Majd F. Sakr

Proceedings of the HAI '21: International Conference on Human-Agent Interaction, Virtual Event, Japan, November 9, 2021

2020

Using Peer Code Review as an Educational Tool.

Xiangyu Song, Seth Copen Goldstein, Majd Sakr

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Cloud Computing Curriculum: Developing Exemplar Modules for General Course Inclusion.

Joshua Adams, Brian Hainey, Laurie White, Derek Foster, Narine Hall, Mark Hills, Sara Hooshangi, Karthik Kuber, Sajid Nazir, Majd Sakr, Lee Stott, Carmen Taglienti

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects.

Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming.

Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Empirical Discovery of Power-Law Distribution in MapReduce Scalability.

Fan Zhang, Majd F. Sakr, Kai Hwang, Samee U. Khan

IEEE Trans. Cloud Comput., 2019

Understanding How Work Habits influence Student Performance.

Seth Copen Goldstein, Hongyi Zhang, Majd Sakr, Haokang An, Cameron Dashti

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Toward a Cloud Computing Learning Community.

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

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2019

Toward Developing a Cloud Computing Model Curriculum.

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

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration.

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

Proceedings of the 13th International Conference on Computer Supported Collaborative Learning, 2019

Online Mob Programming: Bridging the 21st Century Workplace and the Classroom.

Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Haokang An, Clarence Ngoh, Michael Hilton, Majd Sakr, Carolyn P. Rosé

Proceedings of the 13th International Conference on Computer Supported Collaborative Learning, 2019

An Intelligent-Agent Facilitated Scaffold for Fostering Reflection in a Team-Based Project Course.

Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Marshall An, Clarence Ngoh, Michael Hilton, Majd Sakr, Carolyn P. Rosé

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Cloud computing: developing contemporary computer science curriculum for a cloud-first future.

Derek Foster, Laurie White, Joshua Adams, Deger Cenk Erdil, Harvey S. Hyman, Stan Kurkovsky, Majd Sakr, Lee Stott

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course.

Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Carolyn Penstein Rosé

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Improving Domain Independent Question Parsing with Synthetic Treebanks.

Halim Boukaram, Nizar Habash, Micheline Ziadee, Majd F. Sakr

Proceedings of the Joint Workshop on Linguistic Annotation, 2018

2016

Investigating Effects of Professional Status and Ethnicity in Human-Agent Interaction.

Mohammad Obaid, Maha Salem, Micheline Ziadee, Halim Boukaram, Elena Moltchanova, Majd F. Sakr

Proceedings of the Fourth International Conference on Human Agent Interaction, 2016

2015

A Cloud Computing Course: From Systems to Services.

M. Suhail Rehman, Jason Boles, Mohammad Hammoud, Majd F. Sakr

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Effects of Culture on the Credibility of Robot Speech: A Comparison between English and Arabic.

Sean Andrist, Micheline Ziadee, Halim Boukaram, Bilge Mutlu, Majd F. Sakr

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

2014

Marhaba, how may i help you?: effects of politeness and culture on robot acceptance and anthropomorphization.

Maha Salem, Micheline Ziadee, Majd F. Sakr

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds.

Fan Zhang, Majd F. Sakr

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

Virtualizing Resources for the Cloud.

Mohammad Hammoud, Majd F. Sakr

Proceedings of the Large Scale and Big Data - Processing and Management., 2014

Distributed Programming for the Cloud: Models, Challenges, and Analytics Engines.

Mohammad Hammoud, Majd F. Sakr

Proceedings of the Large Scale and Big Data - Processing and Management., 2014

2013

Effects of Politeness and Interaction Context on Perception and Experience of HRI.

Maha Salem, Micheline Ziadee, Majd F. Sakr

Proceedings of the Social Robotics - 5th International Conference, 2013

Dataset Scaling and MapReduce Performance.

Fan Zhang, Majd F. Sakr

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Expressing ethnicity through behaviors of a robot character.

Maxim Makatchev, Reid G. Simmons, Majd F. Sakr, Micheline Ziadee

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

Cluster-Size Scaling and MapReduce Execution Times.

Fan Zhang, Majd F. Sakr

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

MC2: Map Concurrency Characterization for MapReduce on the Cloud.

Mohammad Hammoud, Majd F. Sakr

Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012

A Cross-cultural Corpus of Annotated Verbal and Nonverbal Behaviors in Receptionist Encounters

Maxim Makatchev, Reid G. Simmons, Majd F. Sakr

CoRR, 2012

Center-of-Gravity Reduce Task Scheduling to Lower MapReduce Network Traffic.

Mohammad Hammoud, M. Suhail Rehman, Majd F. Sakr

Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011

Believable Robot Characters.

Reid G. Simmons, Maxim Makatchev, Rachel Kirby, Min Kyung Lee, Imran Fanaswala, Brett Browning, Jodi Forlizzi, Majd F. Sakr

AI Mag., 2011

Interactional disparities in english and arabic native speakers with a bi-lingual robot receptionist.

Imran Fanaswala, Brett Browning, Majd F. Sakr

Proceedings of the 6th International Conference on Human Robot Interaction, 2011

Locality-Aware Reduce Task Scheduling for MapReduce.

Mohammad Hammoud, Majd F. Sakr

Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010

Dialogue patterns of an arabic robot receptionist.

Maxim Makatchev, Imran Fanaswala, Ameer Abdulsalam, Brett Browning, Wael Ghazzawi, Majd F. Sakr, Reid G. Simmons

Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

Initial Findings for Provisioning Variation in Cloud Computing.

M. Suhail Rehman, Majd F. Sakr

Proceedings of the Cloud Computing, Second International Conference, 2010

2000

BitValue Inference: Detecting and Exploiting Narrow Bitwidth Computations.

Mihai Budiu, Majd F. Sakr, Kip Walker, Seth Copen Goldstein

Proceedings of the Euro-Par 2000, Parallel Processing, 6th International Euro-Par Conference, Munich, Germany, August 29, 2000

1998

Reconfigurable Processor Architectures Exploiting High Bandwidth Optical Channels.

Majd F. Sakr, Steven P. Levitan, C. Lee Giles, Donald M. Chiarulli

Proceedings of the 6th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM '98), 1998

1997

Predicting Multiprocessor Memory Access Patterns with Learning Models.

Majd F. Sakr, Steven P. Levitan, Donald M. Chiarulli, Bill G. Horne, C. Lee Giles

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1996

Online prediction of multiprocessor memory access patterns.

Majd F. Sakr, C. Lee Giles, Steven P. Levitan, Bill G. Horne, Marco Maggini, Donald M. Chiarulli

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994

Optoelectronic buses for high-performance computing.

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

Proc. IEEE, 1994