[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117195-en":3,"doc-seo-117195-105":30,"detail-sidebar-cat-0-en-105":83},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117195,4398048950312,"Violet","https://ap-avatar.wpscdn.com/avatar/400002538284de19e3c?_k=1778320343897328908",8,"Research & Report","MLDG-Machine Learning Dataset Generator (Pilot Findings) - For Final Year Open-Book Machine Learning Summative Assessment","Following the COVID-19 pandemic, institutions increasingly consider open-book assessments for both proctored and remote settings, but educators face academic integrity, fairness, and equality challenges. The paper presents the development of MLDG, a machine-learning dataset generator that creates student-centred, unique yet fair datasets for a final-year Machine Learning summative course delivered in class and remotely. A two-year pilot study evaluates student views, integrity outcomes, and instructor workload, with encouraging evidence and potential transfer to other computing subjects.","Technological University Dublin  \nARROW@TU Dublin  \n\n| Conference papers | Directorate of Academic Affairs |\n| --- | --- |\n| 2023-12-14\u003Cbr>MLDG-Machine Learning Dataset Generator (Pilot Findings): For Final Year Open-Book Machine Learning Summative Assessment\u003Cbr>Keith Quille\u003Cbr>Technological University Dublin, [keith.quille@tudublin.ie](keith.quille@tudublin.ie)\u003Cbr>Keith Nolan\u003Cbr>TU Dublin, [keith.nolan@tudublin.ie](keith.nolan@tudublin.ie)\u003Cbr>Lidia Vidal-Meliá\u003Cbr>, UniversitatJaumeI Castelló,Spain, [lvidal@uji.es](lvidal@uji.es)[ ](lvidal@uji.es)See next page for additional authors\u003Cbr>Follow this and additional works at: [https://arrow.tudublin.ie/diraacon](https://arrow.tudublin.ie/diraacon)\u003Cbr> Part of the Education Commons |  |\n\nRecommended Citation  \nQuille, K., Nolan, K., Vidal-Meliá, L., & Becker, B. A. (2023) . MLDG-Machine Learning Dataset Generator (Pilot Findings) -For Final Year Open-Book Machine Learning Summative Assessment. HCAI Education and Practice Conference. DOI: 10.21427/AZEE-BZ43  \nThis Conference Paper is brought to you for free and open access by the Directorate of Academic Affairs at ARROW@TU Dublin. It has been accepted for inclusion in Conference papers by an authorized administrator of ARROW@TU Dublin. For more information, please contact [arrow.admin@tudublin.ie](arrow.admin@tudublin.ie), [aisling.coyne@tudublin.ie](aisling.coyne@tudublin.ie),  \n[gerard.connolly@tudublin.ie](gerard.connolly@tudublin.ie), [vera.ki](vera.ki)[lshaw@tudublin.ie](lshaw@tudublin.ie).  \nThis work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.  \nAuthors  \nKeith Quille, Keith Nolan, Lidia Vidal-Meliá, and Brett A. Becker  \nThis conference paper is available at ARROW@TU Dublin: [https://arrow.tudublin.ie/diraacon/17](https://arrow.tudublin.ie/diraacon/17)  \nMLDG-Machine Learning Dataset Generator (Pilot Findings)  \nFor Final Year Open-Book Machine Learning Summative Assessment  \nKeith Quille  \nSchool of Enterprise Computing and Digital Transformation, TU Dublin Tallaght, Dublin, Ireland  \n[Keith.Quille@TUDublin.ie](Keith.Quille@TUDublin.ie)  \nKeith Nolan  \nSchool of Enterprise Computing and Digital Transformation, TU Dublin Tallaght, Dublin, Ireland  \n[Keith.Nolan@TUDublin.ie](Keith.Nolan@TUDublin.ie)  \nLidia Vidal-Meliá  \nDept. of Business Administration and Marketing, Universitat Jaume I Castelló, Spain  \n[lvidal@uji.es](lvidal@uji.es)  \nABSTRACT  \nFollowing the COVID-19 pandemic, many institutions are considering the continuation of open-book assessments. Students cite many reasons for preferences for open-book assessments, both held in proctored environments and assessments that can be held remotely. Despite the numerous benefits, open-book assessments impose a number of challenges for educators, which is compoundedif the assessment has the option to be taken in class (proctored) and remotely simultaneously. The challenges not only exist around academic integrity but also exist from a student-centred viewpoint of fairness and the equality of the assessment.  \nThis paper first presents the development of a tool for generating student-centred datasets (using the MLDG-Machine Learning Dataset Generator) which are unique but fair to allow for both in-class and remote summative assessment for a final-year Machine Learning course, simultaneously. Second, a study was conducted over a two-year period to trail the tool and assessment environment, where it reported positive findings from a student’s viewpoint, academic integrity viewpoint and the workload from course instructors (as the tool also generates an information file to reduce grading time). The results are encouraging and provide evidence that MLDG and the assessment approach used to promote a fair assessment with academic integrity for Machine Learning students. This tooland assessment approach could also be applied in other subjects such as databases thus having value outside of Machine Learning courses for the Com","cbCairk6MaBlHTOS","https://ap.wps.com/l/cbCairk6MaBlHTOS","pdf",1046330,1,6,"English","en",105,"# Abstract\n# Introduction\n# MLDG Development\n# Pilot Study and Findings\n# Implications and Future Applications","[{\"question\":\"What outcomes were evaluated in the two-year pilot study?\",\"answer\":\"The study reports findings from students, academic integrity perspectives, and instructor workload, including reduced grading time due to an accompanying information file.\"}]","MLDG-Machine Learning Dataset Generator (Pilot Findings) - For Final Year Open-Book Machine Learning Summative Assessment | PDF",1785674367,15,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":78,"head_meta":80,"extra_data":82,"updated_unix":28},"mldg-machine-learning-dataset-generator-pilot-findings-for-final-year-open-book-machine-learning-summative-assessment","",{"@graph":36,"@context":77},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/mldg-machine-learning-dataset-generator-pilot-findings-for-final-year-open-book-machine-learning-summative-assessment/117195/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71],{"name":72,"@type":73,"acceptedAnswer":74},"What outcomes were evaluated in the two-year pilot study?","Question",{"text":75,"@type":76},"The study reports findings from students, academic integrity perspectives, and instructor workload, including reduced grading time due to an accompanying information file.","Answer","https://schema.org",{"og:url":52,"og:type":79,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":81,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":84},[85,89,93,97,102,106,111,114,119,122,126],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":86,"show_sort_weight":87,"slug":88},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":90,"show_sort_weight":91,"slug":92},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Exam",70,"exam",{"id":98,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},5,"Comic",60,"comic",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":112,"slug":113},30,"research-report",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":98,"slug":129},19,"General","general"]