The Role of Technology in Monitoring Inter-institutional Lecturers’ Teaching Workload in Kenya

Evans M. Ombati, Simon M. Karume, M. Thiga
{"title":"The Role of Technology in Monitoring Inter-institutional Lecturers’ Teaching Workload in Kenya","authors":"Evans M. Ombati, Simon M. Karume, M. Thiga","doi":"10.23919/ISTAFRICA.2019.8764885","DOIUrl":null,"url":null,"abstract":"The teaching profession has one of the highest numbers of workforce grappling with unmanageable workload. Excessive lecturers’ workload causes adverse effects to both employer and employee. Lecturers are assigned lectures in multiple independent learning institutions and there is no platform to foster interuniversity communication regarding the shared lecturers’ employment state, tenure and lecturing obligations. The Commission for University Education has guidelines set to limit the maximum lecturer workload and yet there is no way to monitor inter institution lecturers’ teaching workload. There’s the need to employ technology to address this problem. Existing models have no capability to monitor cross-campus lecturers’ workload, they rather concentrate on the business aspect of automating scheduling of lectures, tutor recruitment. Triangulation methodology was used to conduct this study while proof of concept methodology was applied to develop the model. Research questions were answered through engaging industry experts in a validation exercise. Feedback received indicated that the model would be an efficient tool in safeguarding lecturers against burnout arising from unmanageable workload. Management, human and technical challenges are anticipated during the adoption phase of the model. Further research should be undertaken to develop models to monitor a lecturer’s inter-institution teaching workload using identified alternative quantifiable attributes.","PeriodicalId":420572,"journal":{"name":"2019 IST-Africa Week Conference (IST-Africa)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IST-Africa Week Conference (IST-Africa)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ISTAFRICA.2019.8764885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The teaching profession has one of the highest numbers of workforce grappling with unmanageable workload. Excessive lecturers’ workload causes adverse effects to both employer and employee. Lecturers are assigned lectures in multiple independent learning institutions and there is no platform to foster interuniversity communication regarding the shared lecturers’ employment state, tenure and lecturing obligations. The Commission for University Education has guidelines set to limit the maximum lecturer workload and yet there is no way to monitor inter institution lecturers’ teaching workload. There’s the need to employ technology to address this problem. Existing models have no capability to monitor cross-campus lecturers’ workload, they rather concentrate on the business aspect of automating scheduling of lectures, tutor recruitment. Triangulation methodology was used to conduct this study while proof of concept methodology was applied to develop the model. Research questions were answered through engaging industry experts in a validation exercise. Feedback received indicated that the model would be an efficient tool in safeguarding lecturers against burnout arising from unmanageable workload. Management, human and technical challenges are anticipated during the adoption phase of the model. Further research should be undertaken to develop models to monitor a lecturer’s inter-institution teaching workload using identified alternative quantifiable attributes.
技术在监测肯尼亚跨机构讲师教学工作量中的作用
教师职业是与难以管理的工作量作斗争的人数最多的职业之一。讲师过多的工作量对雇主和员工都产生了不利影响。讲师被分配到多个独立的学习机构讲课,没有平台来促进大学之间关于共享讲师的就业状态,任期和讲课义务的交流。大学教育委员会制定了指导方针,以限制讲师的最大工作量,但没有办法监测机构间讲师的教学工作量。有必要利用技术来解决这个问题。现有的模型没有能力监控跨校园讲师的工作量,它们更专注于自动调度讲座、导师招聘等业务方面。三角测量方法被用于进行这项研究,而概念验证方法被用于开发模型。通过与行业专家进行验证练习来回答研究问题。收到的反馈表明,该模式将是一个有效的工具,可防止讲师因无法管理的工作量而倦怠。在模型的采用阶段,预计会遇到管理、人力和技术方面的挑战。应开展进一步的研究,开发模型,利用确定的可量化属性来监测讲师的机构间教学工作量。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信