Enhancing academic support for students in higher education

IF 1.5 Q2 EDUCATION & EDUCATIONAL RESEARCH QUALITY ASSURANCE IN EDUCATION Pub Date : 2024-04-26 DOI:10.1108/qae-07-2023-0128
Kasun Gomis, M. Saini, C. Pathirage, Mohammed Arif
{"title":"Enhancing academic support for students in higher education","authors":"Kasun Gomis, M. Saini, C. Pathirage, Mohammed Arif","doi":"10.1108/qae-07-2023-0128","DOIUrl":null,"url":null,"abstract":"Purpose\nThe need to enhance student support is evident in higher education (HE) curricula. In addition to the complications created by the COVID-19 pandemic, the current strategies used in academia are criticised for their lack of appropriate student support in HE. The study focused on the themes under Section 4 of the National Student Survey (NSS): availability to contact tutors, receiving good advice and guidance and availability of good advice. The study aimed to provide recommendations for enhancing academic support by developing drivers that need implementation during course delivery.\n\nDesign/methodology/approach\nA documental analysis and a qualitative survey were adopted for this study. A documental analysis of 334 mid-module reviews (MMRs) from levels three to six students in the built environment (BE) discipline. Critical themes identified from the MMRs were fed forward in developing a questionnaire for academics. A sample of 23 academics, including a Head of school, a Principal lecturer, Subject leads and Lecturers, participated in the questionnaire survey. Content analysis is adopted through questionnaire data to develop drivers to enhance academic support in BE. These drivers are then modelled by interpretive structural modelling (ISM) to identify their correlation to NSS Section 4 themes. A level partition analysis establishes how influential they are in enhancing academic support.\n\nFindings\nThe study identified nine drivers, where two drivers were categorised as fundamental, two as significant, four as important, and one insignificant in enhancing academic support in HE. Module leaders’/tutors’ improving awareness and detailing how academic support is provided were identified as fundamental. Differentiating roles in giving advice and the importance of one-to-one meetings were identified as significant. A level partitioning diagram was developed from the nine drivers to illustrate how these drivers need to be implemented to promote the best practices in academic support in HE.\n\nPractical implications\nThe identified drivers and their categories can be used to set prioritised guidelines for academics and other educational institutions to improve students’ overall satisfaction.\n\nOriginality/value\nNovelty from the study will be the developed drivers and the level partitioning diagram to assist academics and academic institutions in successfully integrating academic support into HE curricula.\n","PeriodicalId":46734,"journal":{"name":"QUALITY ASSURANCE IN EDUCATION","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"QUALITY ASSURANCE IN EDUCATION","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/qae-07-2023-0128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose The need to enhance student support is evident in higher education (HE) curricula. In addition to the complications created by the COVID-19 pandemic, the current strategies used in academia are criticised for their lack of appropriate student support in HE. The study focused on the themes under Section 4 of the National Student Survey (NSS): availability to contact tutors, receiving good advice and guidance and availability of good advice. The study aimed to provide recommendations for enhancing academic support by developing drivers that need implementation during course delivery. Design/methodology/approach A documental analysis and a qualitative survey were adopted for this study. A documental analysis of 334 mid-module reviews (MMRs) from levels three to six students in the built environment (BE) discipline. Critical themes identified from the MMRs were fed forward in developing a questionnaire for academics. A sample of 23 academics, including a Head of school, a Principal lecturer, Subject leads and Lecturers, participated in the questionnaire survey. Content analysis is adopted through questionnaire data to develop drivers to enhance academic support in BE. These drivers are then modelled by interpretive structural modelling (ISM) to identify their correlation to NSS Section 4 themes. A level partition analysis establishes how influential they are in enhancing academic support. Findings The study identified nine drivers, where two drivers were categorised as fundamental, two as significant, four as important, and one insignificant in enhancing academic support in HE. Module leaders’/tutors’ improving awareness and detailing how academic support is provided were identified as fundamental. Differentiating roles in giving advice and the importance of one-to-one meetings were identified as significant. A level partitioning diagram was developed from the nine drivers to illustrate how these drivers need to be implemented to promote the best practices in academic support in HE. Practical implications The identified drivers and their categories can be used to set prioritised guidelines for academics and other educational institutions to improve students’ overall satisfaction. Originality/value Novelty from the study will be the developed drivers and the level partitioning diagram to assist academics and academic institutions in successfully integrating academic support into HE curricula.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
加强对高校学生的学术支持
目的 加强学生支持的必要性在高等教育(HE)课程中显而易见。除了 COVID-19 大流行造成的复杂情况外,学术界目前使用的策略也因缺乏适当的学生支持而受到批评。这项研究的重点是全国学生调查(NSS)第 4 部分的主题:能否联系到导师、能否获得良好的建议和指导以及能否获得良好的建议。本研究采用了文献分析和定性调查的方法,旨在通过开发课程实施过程中需要实施的驱动因素,为加强学术支持提供建议。对建筑环境(BE)学科三至六年级学生的 334 份中期模块审查(MMR)进行了文件分析。从单元中期审查中确定的关键主题被用于编制学术调查问卷。23 名学者参与了问卷调查,其中包括一名校长、一名首席讲师、学科带头人和讲师。通过对问卷数据进行内容分析,得出了加强必修课程学术支持的驱动因素。然后,通过解释性结构建模(ISM)对这些驱动因素进行建模,以确定它们与新高中第 4 部分主题的相关性。研究发现了九个驱动因素,其中两个被归类为基本驱动因素,两个被归类为重要驱动因素,四个被归类为重要驱动因素,一个被归类为不重要驱动因素。单元负责人/导师提高对如何提供学业支持的认识和详细说明被认为是根本性的。在提供建议方面的角色区分和一对一会议的重要性被认为是重要的。原创性/价值本研究的新颖之处在于其开发的驱动因素和层次划分图,可帮助学者和学术机构成功地将学术支持融入高等院校课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
QUALITY ASSURANCE IN EDUCATION
QUALITY ASSURANCE IN EDUCATION EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.10
自引率
20.00%
发文量
47
期刊介绍: QAE publishes original empirical or theoretical articles on Quality Assurance issues, including dimensions and indicators of Quality and Quality Improvement, as applicable to education at all levels, including pre-primary, primary, secondary, higher and professional education. Periodically, QAE also publishes systematic reviews, research syntheses and assessment policy articles on topics of current significance. As an international journal, QAE seeks submissions on topics that have global relevance. Article submissions could pertain to the following areas integral to QAE''s mission: -organizational or program development, change and improvement -educational testing or assessment programs -evaluation of educational innovations, programs and projects -school efficiency assessments -standards, reforms, accountability, accreditation, and audits in education -tools, criteria and methods for examining or assuring quality
期刊最新文献
The impact of gamification on meaningful learning and student performance in an undergraduate online engineering course Generative AI: hopes, controversies and the future of faculty roles in education AI-enhanced education: exploring the impact of AI literacy on generation Z’s academic performance in Northern India Stakeholders’ involvement in economics and management programs quality assurance Experimental evidence for the efficacy of generative AI in improving students’ writing skills
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1