English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Large language models (LLMs) such as ChatGPT and Google Bard have garneredsignificant attention in the academic community. Previous research hasevaluated these LLMs for various applications such as generating programmingexercises and solutions. However, these evaluations have predominantly beenconducted by instructors and researchers, not considering the actual usage ofLLMs by students. This study adopts a student-first approach to comprehensivelyunderstand how undergraduate computer science students utilize ChatGPT, apopular LLM, released by OpenAI. We employ a combination of student surveys andinterviews to obtain valuable insights into the benefits, challenges, andsuggested improvements related to ChatGPT. Our findings suggest that a majorityof students (over 57%) have a convincingly positive outlook towards adoptingChatGPT as an aid in coursework-related tasks. However, our research alsohighlights various challenges that must be resolved for long-term acceptance ofChatGPT amongst students. The findings from this investigation have broaderimplications and may be applicable to other LLMs and their role in computingeducation.

"It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's Usage among Undergraduate Students in Computer Science