Results 181 to 190 of about 135,232 (227)

Investigating the Capabilities of Generative AI in Solving Data Structures, Algorithms, and Computability Problems

Technical Symposium on Computer Science Education
There is both great hope and concern about the future of Computer Science practice and education concerning the recent advent of large language models (LLMs).
Nero Li, Shahar Broner, Yubin Kim, Katrina Mizuo, Elijah Sauder, Claire To, Albert Wang, Ofek Gila, Michael Shindler   +8 more
semanticscholar   +1 more source

Improving Understanding of Data Structures for the Blind with Tactile Media and a User-Centered Iterative Approach

Frontiers in Education Conference, 2020
This Innovative Practice Full Paper addresses the challenges of teaching data structures and algorithms to blind students using tactile media and a user-centered approach.
April R. Crockett, G. Gannod
semanticscholar   +1 more source

Comparing Feedback from Large Language Models and Instructors: Teaching Computer Science at Scale

ACM Conference on Learning @ Scale
Large language models (LLMs) can provide formative feedback in programming to help students improve the code they have written. We investigate the use of LLMs (GPT-4) to provide formative code feedback in a sophomore-level computer science (CS) course on
Ha Nguyen, Nate Stott, Vicki Allan
semanticscholar   +1 more source

LLM Performance Assessment in Computer Science Graduate Entrance Exams

International Symposium on Telecommunications
Large Language Models (LLMs) are increasingly utilized in educational settings, raising questions about their efficacy in standardized testing contexts. This study evaluates the performance of popular LLMs, including GPT-4o, Claude 3.5 Sonnet, Gemini 1.5
Arya Varastehnezhad, Reza Tavasoli, Mostafa Masumi, F. Taghiyareh   +3 more
semanticscholar   +1 more source

Quantum Computing Education for Computer Science Students: Bridging the Gap with Layered Learning and Intuitive Analogies

International Conference on Quantum Computing and Engineering
Quantum computing presents a transformative potential for the world of computing. However, integrating this technology into the curriculum for computer science students who lack prior exposure to quantum mechanics and advanced mathematics remains a ...
Anila Mjeda, Hazel Murray
semanticscholar   +1 more source

Demystifying blockchain by teaching it in computer science: adventures in essence, accidents, and data structures

Journal of Computing Sciences in Colleges (JCSC; Formerly: Journal of Computing in Small Colleges), 2019
Alan G. Labouseur, Matthew Johnson, T. Magnusson   +2 more
semanticscholar   +1 more source

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel, Kimberly D Miller, Nikita Sandeep Wagle   +2 more
exaly  

Algorithms and data structures: the science of computing

Choice Reviews Online, 2004
openaire   +1 more source