{"title":"Essays in economics in ICU: Resuscitate or pull the plug?","authors":"Kamilya Suleymenova, Mary Dawood, Maria Psyllou","doi":"10.1016/j.iree.2024.100284","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the perspectives of Economics academics regarding the impact of using text-generative AI (GAI) on teaching and assessment in the UK higher education (UKHE) sector, with a specific focus on essays. The survey of academics’ perceptions encompasses considerations of academic integrity, transferrable skills, and ethical GAI use. The responses unveiled a range of significant findings regarding the present condition of essay-based assessment in Economics education. The most prominent of which is that, while GAI development has introduced a new conflict between integrity concerns and essay-writing, Economics academics confirm that the latter continues to be important to their graduates. However, there is an emphasis on reshaping the format of conventional essays and refining traditional marking criteria. Elevating assessment questions along Bloom’s taxonomy is deemed vital for critical thinking and producing future-ready graduates. Respondents also recognise the need to impart ethical awareness among students when using GAI while exploring innovative pedagogies to develop and assess the new GAI skill set. Thus, our study challenges the dichotomy of pulling the plug on conventional essays and, instead, prompts a critical re-evaluation—resuscitation through reimagination. Finally, most express interest in learning more about GAI and its educational applications, either through self-experimentation or structured events and GAI training. Overall, the study reveals a complex topography of perspectives, highlighting the need for subtle, collaborative approaches as academics carefully evaluate strategies to leverage GAI’s potential while evolving assessments and pedagogies.</p></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"45 ","pages":"Article 100284"},"PeriodicalIF":1.3000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1477388024000021/pdfft?md5=dfd26b2df4cebc72762df4c6b11be99d&pid=1-s2.0-S1477388024000021-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Economics Education","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1477388024000021","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the perspectives of Economics academics regarding the impact of using text-generative AI (GAI) on teaching and assessment in the UK higher education (UKHE) sector, with a specific focus on essays. The survey of academics’ perceptions encompasses considerations of academic integrity, transferrable skills, and ethical GAI use. The responses unveiled a range of significant findings regarding the present condition of essay-based assessment in Economics education. The most prominent of which is that, while GAI development has introduced a new conflict between integrity concerns and essay-writing, Economics academics confirm that the latter continues to be important to their graduates. However, there is an emphasis on reshaping the format of conventional essays and refining traditional marking criteria. Elevating assessment questions along Bloom’s taxonomy is deemed vital for critical thinking and producing future-ready graduates. Respondents also recognise the need to impart ethical awareness among students when using GAI while exploring innovative pedagogies to develop and assess the new GAI skill set. Thus, our study challenges the dichotomy of pulling the plug on conventional essays and, instead, prompts a critical re-evaluation—resuscitation through reimagination. Finally, most express interest in learning more about GAI and its educational applications, either through self-experimentation or structured events and GAI training. Overall, the study reveals a complex topography of perspectives, highlighting the need for subtle, collaborative approaches as academics carefully evaluate strategies to leverage GAI’s potential while evolving assessments and pedagogies.
本研究调查了经济学学者对英国高等教育(UKHE)领域使用文本生成人工智能(GAI)对教学和评估的影响的看法,尤其关注论文。对学者看法的调查包括对学术诚信、可迁移技能和 GAI 使用道德的考虑。调查结果显示了一系列有关经济学教育中以论文为基础的评估现状的重要发现。其中最突出的一点是,虽然 GAI 的发展在诚信问题和论文写作之间引入了新的冲突,但经济学学者证实,后者对他们的毕业生仍然很重要。不过,他们强调要重塑传统论文的格式,完善传统的评分标准。根据布鲁姆分类法提升评估问题被认为对批判性思维和培养未来就绪的毕业生至关重要。受访者还认识到,在使用 GAI 时,有必要向学生传授道德意识,同时探索创新教学法,以开发和评估新的 GAI 技能集。因此,我们的研究挑战了传统论文的二分法,而是通过重新构想来促使批判性的重新评估--复苏。最后,大多数人表示有兴趣通过自我实验或有组织的活动和 GAI 培训,更多地了解 GAI 及其教育应用。总之,这项研究揭示了各种观点的复杂地形,强调了学术界在评估和教学法不断发展的同时,仔细评估利用 GAI 潜力的战略时,需要采取微妙的合作方法。