{"title":"运用信息处理理论支持自适应电子学习系统:可行性研究","authors":"Othmar Othmar Mwambe","doi":"10.1016/j.chbr.2024.100420","DOIUrl":null,"url":null,"abstract":"<div><p>Digital transformation has led to the exponential advancement of e-learning platforms. Multimedia content plays a vital role in supporting knowledge dissemination for adaptive e-learning systems. However, online learners' cognitive preferences towards such multimedia contents have been less explored, and most of the e-learning adaptive systems models have not yet enrolled learners' cognitive processes. Thus, the digital divide between millennials and generation Z has evolved due to the lack of dynamic personalization of e-learning multimedia content with respect to learners' metacognitive styles. In order to address that challenge, this feasibility study approach is aimed at exploring the possibility of deploying information processing theory on adaptive e-learning platforms to support the enrolment of learners' metacognitive styles for e-learning multimedia content personalization, which in turn eradicates the existing digital divide. This study survey results suggest that the deployment of information processing theory on adaptive e-learning systems is feasible and optimal learning can be obtained when multimedia content personalization meets generation Z preferences.</p></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451958824000538/pdfft?md5=eed86264d58be250b3de5f08b867935e&pid=1-s2.0-S2451958824000538-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Deployment of information processing theory to support adaptive e-learning systems: Feasibility study\",\"authors\":\"Othmar Othmar Mwambe\",\"doi\":\"10.1016/j.chbr.2024.100420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Digital transformation has led to the exponential advancement of e-learning platforms. Multimedia content plays a vital role in supporting knowledge dissemination for adaptive e-learning systems. However, online learners' cognitive preferences towards such multimedia contents have been less explored, and most of the e-learning adaptive systems models have not yet enrolled learners' cognitive processes. Thus, the digital divide between millennials and generation Z has evolved due to the lack of dynamic personalization of e-learning multimedia content with respect to learners' metacognitive styles. In order to address that challenge, this feasibility study approach is aimed at exploring the possibility of deploying information processing theory on adaptive e-learning platforms to support the enrolment of learners' metacognitive styles for e-learning multimedia content personalization, which in turn eradicates the existing digital divide. This study survey results suggest that the deployment of information processing theory on adaptive e-learning systems is feasible and optimal learning can be obtained when multimedia content personalization meets generation Z preferences.</p></div>\",\"PeriodicalId\":72681,\"journal\":{\"name\":\"Computers in human behavior reports\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2451958824000538/pdfft?md5=eed86264d58be250b3de5f08b867935e&pid=1-s2.0-S2451958824000538-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in human behavior reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451958824000538\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in human behavior reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451958824000538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
摘要
数字化转型促使电子学习平台飞速发展。多媒体内容在支持自适应网络学习系统的知识传播方面发挥着重要作用。然而,人们对在线学习者对这些多媒体内容的认知偏好探索较少,而且大多数网络学习自适应系统模型尚未纳入学习者的认知过程。因此,由于缺乏针对学习者元认知风格的动态个性化网络学习多媒体内容,千禧一代和 Z 世代之间的数字鸿沟已经形成。为了应对这一挑战,本可行性研究方法旨在探索在自适应网络学习平台上部署信息加工理论的可能性,以支持将学习者的元认知风格纳入网络学习多媒体内容个性化,进而消除现有的数字鸿沟。本研究的调查结果表明,在自适应网络学习系统中部署信息加工理论是可行的,当多媒体内容个性化满足Z世代的偏好时,可以获得最佳学习效果。
Deployment of information processing theory to support adaptive e-learning systems: Feasibility study
Digital transformation has led to the exponential advancement of e-learning platforms. Multimedia content plays a vital role in supporting knowledge dissemination for adaptive e-learning systems. However, online learners' cognitive preferences towards such multimedia contents have been less explored, and most of the e-learning adaptive systems models have not yet enrolled learners' cognitive processes. Thus, the digital divide between millennials and generation Z has evolved due to the lack of dynamic personalization of e-learning multimedia content with respect to learners' metacognitive styles. In order to address that challenge, this feasibility study approach is aimed at exploring the possibility of deploying information processing theory on adaptive e-learning platforms to support the enrolment of learners' metacognitive styles for e-learning multimedia content personalization, which in turn eradicates the existing digital divide. This study survey results suggest that the deployment of information processing theory on adaptive e-learning systems is feasible and optimal learning can be obtained when multimedia content personalization meets generation Z preferences.