{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:51:07Z","timestamp":1775145067889,"version":"3.50.1"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T00:00:00Z","timestamp":1728777600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T00:00:00Z","timestamp":1728777600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,13]]},"DOI":"10.1109\/fie61694.2024.10893146","type":"proceedings-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T18:43:35Z","timestamp":1740595415000},"page":"1-8","source":"Crossref","is-referenced-by-count":8,"title":["Enhancing Engineering Education Through LLM-Driven Adaptive Quiz Generation: A RAG-Based Approach"],"prefix":"10.1109","author":[{"given":"Sreekanth","family":"Gopi","sequence":"first","affiliation":[{"name":"Kennesaw State University,Department of Computer Science,Kennesaw,GA"}]},{"given":"Devananda","family":"Sreekanth","sequence":"additional","affiliation":[{"name":"Kennesaw State University,Department of Computer Science,Kennesaw,GA"}]},{"given":"Nasrin","family":"Dehbozorgi","sequence":"additional","affiliation":[{"name":"Kennesaw State University,Department of Software Engineering,Kennesaw,GA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/educsci11090502"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CTS.2014.6867592"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18260\/1-2--27538"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/cae.22175"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/s41239-024-00448-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.14742\/ajet.8825"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.54675\/ewzm9535"},{"key":"ref8","article-title":"Comparing gpt-3.5 & gpt-4: A thought framework on when to use each model","author":"Nwanne","year":"2024","journal-title":"Tech Community"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3636243.3636256"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3568812.3603476"},{"key":"ref11","article-title":"Avoiding hallucinations in llm-powered applications","volume-title":"Vectara Blog","author":"Mendelevitch","year":"2023"},{"key":"ref12","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","article-title":"Retrieval-augmented generation for ai-generated content: A survey","author":"Zhao","year":"2024","journal-title":"arXiv preprint"},{"key":"ref14","article-title":"A survey on retrieval-augmented text generation for large language models","author":"Huang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s41039-021-00151-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2022.100110"},{"key":"ref17","first-page":"53","article-title":"Evalquiz-llm-based automated generation of self-assessment quizzes in software engineering education","author":"Mei\u03b2ner","year":"2024","journal-title":"Software Engineering im Unterricht der Hochschulen 2024. Gesellschaft fur Informatik eV"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18260\/1-2--47042"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3352\/jeehp.2024.21.6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4018\/979-8-3693-2728-9.ch005"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i11.21496"},{"key":"ref22","article-title":"Ai in education: The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise","author":"Bailey","year":"2022","journal-title":"Technology"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s40692-021-00199-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR62202.2024.00031"},{"key":"ref25","article-title":"Improving large language models with retrieval augmented generation","author":"Ramlochan","year":"2023","journal-title":"Redefining AI Conversations: How Retrieval Augmented Generation is supercharging Large Language Models for a smarter future"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.nllp-1.13"},{"key":"ref27","article-title":"Retrieval augmented generation: Making generative ai safe, trustworthy, and more relevant","volume-title":"Vectara Blog","author":"Hayes","year":"2023"},{"key":"ref28","volume-title":"Retrieval augmented generation (rag) done right: Retrieval","author":"Mendelevitch","year":"2023"},{"key":"ref29","volume-title":"Data ingestion","year":"2024"},{"key":"ref30","article-title":"Truchain recorder for langchain applications. build and evaluate llm apps with llamaindex and trulens","volume-title":"TruLens","author":"Sen","year":"2023"},{"key":"ref31","article-title":"Trulens documentation","volume-title":"TruLens","year":"2024"},{"key":"ref32","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei","year":"2022","journal-title":"Advances in neural information processing systems"},{"key":"ref33","article-title":"A closer look into automatic evaluation using large language models","author":"Chiang","year":"2023","journal-title":"ar Xiv preprint"},{"key":"ref34","article-title":"Zero-shot nlg evaluation through pairware comparisons with llms","author":"Liusie","year":"2023","journal-title":"arXiv preprint"},{"key":"ref35","author":"Zhang","year":"2022","journal-title":"Automatically answering and generating machine learning final exams"},{"key":"ref36","article-title":"Question difficulty ranking for multiple-choice reading comprehension","author":"Raina","year":"2024","journal-title":"arXiv preprint"}],"event":{"name":"2024 IEEE Frontiers in Education Conference (FIE)","location":"Washington, DC, USA","start":{"date-parts":[[2024,10,13]]},"end":{"date-parts":[[2024,10,16]]}},"container-title":["2024 IEEE Frontiers in Education Conference (FIE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10892093\/10892810\/10893146.pdf?arnumber=10893146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T07:36:38Z","timestamp":1740641798000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10893146\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,13]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/fie61694.2024.10893146","relation":{},"subject":[],"published":{"date-parts":[[2024,10,13]]}}}