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Best practices for mentoring in online programs: supporting faculty and students in higher education Best practices for mentoring in online programs: supporting faculty and students in higher education , edited by Susan Ko and Olena Zhadko, New York, Routledge, 2022, 170 pp., £26.39(paperback), ISBN9781138352476 (e-book), ISBN9780429434754 在线课程指导的最佳实践:支持高等教育中的教师和学生,Susan Ko和Olena Zhadko编辑,纽约,Routledge, 2022, 170页,26.39英镑(平装),ISBN9781138352476(电子书),ISBN9780429434754
Q1 Social Sciences Pub Date : 2023-10-31 DOI: 10.1080/02680513.2023.2277161
Berli Arta, Adhan Kholis
Click to increase image sizeClick to decrease image size Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsBerli ArtaBerli Arta is a lecturer of the Department of English Education of Universitas Nahdlatul Ulama Yogyakarta, Indonesia. His research interest covers English Language Teaching, Bilingualism, and Online Learning.Adhan KholisAdhan Kholis is teaching at the Department of English Education of Universitas Nahdlatul Ulama Yogyakarta and he is also an Editor and Reviewer in various accredited journals in Indonesia. His research interests include Media and Technology in Language Teaching and Learning.
点击放大图片点击缩小图片披露声明作者未发现潜在的利益冲突。作者简介:berli ArtaBerli Arta是印尼日惹大学英语教育系的讲师。主要研究方向为英语教学、双语和在线学习。Adhan Kholis任教于日惹国立乌拉玛大学英语教育系,同时也是印尼多家知名期刊的编辑和审稿人。主要研究方向为语言教学中的媒体与技术。
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引用次数: 0
The mediating role of online learning readiness in the relationship between course satisfaction and self-efficacy to learn statistics in online classes 网络学习准备在课程满意度与网络学习统计自我效能感关系中的中介作用
Q1 Social Sciences Pub Date : 2023-10-18 DOI: 10.1080/02680513.2023.2270987
Sangah Lee, Hyeon-Jean Yoo, Chih-Hsuan Wang
ABSTRACTThe study identifies the mediating effects of online learning readiness (OLR) in the relation between course satisfaction and self-efficacy to learn online statistics. The sample comprised 121 students recruited from a large public university in a south-eastern state in the United States of America. Structural equation modelling (SEM) and correlational analysis were used to test the hypotheses. We found that self-efficacy to learn statistics is positively associated with both course satisfaction and online learning readiness in students. OLR has a significant positive association with course satisfaction. Our findings confirmed the mediational effect of OLR of students enrolled in online statistics courses in the relationships between self-efficacy to learn statistics and students’ course satisfaction. This study suggests that self-efficacy to learn statistics contributes to higher course satisfaction in online statistics learning. We suggest that educational establishments should focus on developing policies to improve the online learning readiness of students and student self-efficacy, to enhance course satisfaction.KEYWORDS: online learning readinessstatistics online courseself-efficacycourse satisfactiononilne learning Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsSangah LeeSangah Lee is a Research Scientist in the Department of Educational Leadership & Policy Studies at the University of Houston, Houston, TX, USA. She received her Ph.D. in Educational Psychology, M.S. degree in Educational Research, Measurement, and Evaluation, and M.S. degree in Probability and Statistics from Auburn University, Auburn, AL, USA. Her research is focused on multicultural aspects of higher educational systems, equity in education, and motivation in online and statistics education.Hyeon-Jean YooHyeon-Jean Yoo is an Assistant Professor in the Department of Teaching and Learning at Tennessee State University, Nashville, TN, USA. She received her Ph.D. in Adult Education and her M.S. degree in Educational Research, Measurement, and Evaluation from Auburn University, Auburn, AL, USA. Her research interests include online and distance learning, transformative learning, and student motivation.Chih-Hsuan WangChih-Hsuan Wang, PhD, is a Professor in Educational Psychology at Auburn University, Auburn, AL, USA. She is interested in research related to motivation and assessment in different learning settings, and the impact of using technology on teaching and learning processes.
摘要本研究旨在探讨在线学习准备度(OLR)在课程满意度与在线学习统计自我效能感之间的中介作用。样本包括从美国东南部一个州的一所大型公立大学招募的121名学生。采用结构方程模型(SEM)和相关分析对假设进行检验。我们发现统计学习自我效能感与学生的课程满意度和在线学习准备度呈正相关。学习效率与课程满意度有显著正相关。我们的研究结果证实了在线统计学课程学生学习统计自我效能感与学生课程满意度之间的中介作用。本研究发现统计学习的自我效能感有助于提高在线统计学习的课程满意度。我们建议教育机构应注重制定政策,以提高学生的在线学习准备和学生的自我效能感,提高课程满意度。关键词:在线学习准备情况统计在线课程自我效能感课程满意度在线学习披露声明作者未报告潜在的利益冲突。作者简介ssangah Lee是美国德克萨斯州休斯顿市休斯顿大学教育领导与政策研究系的研究科学家。她毕业于美国奥本大学,获得教育心理学博士学位、教育研究、测量与评估硕士学位和概率与统计硕士学位。她的研究主要集中在高等教育系统的多元文化方面,教育公平,以及在线和统计教育的动机。Hyeon-Jean Yoo,美国田纳西州纳什维尔市田纳西州立大学教学与学习系助理教授。她在美国奥本大学获得成人教育博士学位和教育研究、测量与评估硕士学位。她的研究兴趣包括在线和远程学习,变革学习和学生动机。王志轩,博士,美国奥本大学教育心理学教授。她对不同学习环境下的动机和评估以及使用技术对教学过程的影响感兴趣。
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引用次数: 0
Open and online learning: opportunities and challenges 开放和在线学习:机遇与挑战
Q1 Social Sciences Pub Date : 2023-10-02 DOI: 10.1080/02680513.2023.2265398
Denise Whitelock
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引用次数: 0
Interactions in an xMOOC: perspectives of learners who completed the course xMOOC中的互动:完成课程的学习者的视角
Q1 Social Sciences Pub Date : 2023-09-18 DOI: 10.1080/02680513.2023.2259922
Hengtao Tang
ABSTRACTThe low retention rate becomes a scale-efficiency tradeoff for Massive Open Online Courses (MOOCs). To resolve this tradeoff, understanding learner experience of successfully completing MOOCs is necessary. Keen completers , who complete a MOOC and meet the requirement of passing the course, tend to actively participate in course interactions; however, their voices about how interactions contribute to course completion are unheard. Therefore, this study applied a qualitative methodology to explore keen completers’ interaction experience and their perceptions of various types of interaction (e.g. learner-content, learner-learner, learner-instructor, learner-interface, learner-self, and learner-exterior interaction) in a MOOC. The findings of this study have added keen completers’ voices to existing evidence about interactions with a focus on how each type of interaction aided in the completion of a MOOC. Practical implications about maintaining learners’ effective interaction experience in MOOCs are discussed.KEYWORDS: MOOCsinteractionkeen completersretentionqualitative study Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Office of the Provost, University of South Carolina [80004720]; Office of the Vice President for Research, University of South Carolina [80003684].Notes on contributorsHengtao TangHengtao Tang is an associate professor of Learning Design and Technologies at the University of South Carolina. His research interests address the intersection of self-regulated learning, multimodal data analytics, and artificial intelligence (AI) in education. Specifically, Hengtao applies multimodal data analytics to understand how learners regulate their learning and their collaborative problem solving in technology-enhanced learning environments and thereby creating AI-driven scaffolds to facilitate learners' disposition, knowledge, skills, and action outcomes toward STEM careers.
摘要低保留率成为大规模在线开放课程(MOOCs)的规模效益权衡。为了解决这种权衡,了解学习者成功完成mooc课程的经验是必要的。完成MOOC课程并达到课程通过要求的“热心完成者”倾向于积极参与课程互动;然而,他们关于互动如何促进课程完成的声音却无人知晓。因此,本研究采用定性方法,探讨了MOOC中学习者的互动体验,以及他们对各种互动类型(如学习者-内容、学习者-学习者、学习者-讲师、学习者-界面、学习者-自我和学习者-外部互动)的看法。这项研究的发现为现有的关于互动的证据增加了敏锐的完成者的声音,重点是每种类型的互动如何帮助完成MOOC。讨论了在mooc中保持学习者有效互动体验的实际意义。关键词:慕课烧结、敏锐完成者筛选、定性研究披露声明作者未报告潜在利益冲突。这项工作得到了南卡罗来纳大学教务长办公室的支持[80004720];南卡罗来纳大学研究副校长办公室[80003684]。汤胜涛,南卡罗莱纳大学学习设计与技术系副教授。他的研究兴趣集中在自我调节学习、多模态数据分析和人工智能(AI)在教育中的交叉。具体而言,恒涛应用多模态数据分析来了解学习者如何在技术增强的学习环境中调节自己的学习和协作解决问题,从而创建人工智能驱动的支架,以促进学习者对STEM职业的性格、知识、技能和行动结果。
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引用次数: 0
The metaphors of Ed Tech 这是Ed Tech的隐喻
IF 4.8 Q1 Social Sciences Pub Date : 2023-08-14 DOI: 10.1080/02680513.2023.2248170
Elspeth Nelson
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引用次数: 1
Creating, consuming, remixing, and sharing accessible Open Educational Resources (OERs) using an authoring tool 使用创作工具创建、使用、重新组合和共享可访问的开放教育资源(OER)
IF 4.8 Q1 Social Sciences Pub Date : 2023-08-14 DOI: 10.1080/02680513.2023.2248175
Mathieu Kessler, Daniel Pérez-Berenguer
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引用次数: 0
Logging in but tuning out – the experience of online learning among Trinidadian students 登录但退出-特立尼达学生的在线学习体验
IF 4.8 Q1 Social Sciences Pub Date : 2023-07-16 DOI: 10.1080/02680513.2023.2237516
Karima Pragg
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引用次数: 0
Editorial: From Theory to Practice 社论:从理论到实践
IF 4.8 Q1 Social Sciences Pub Date : 2023-06-06 DOI: 10.1080/02680513.2023.2216711
C. Douce, Charlotte Stevens
Welcome to the third issue of Open Learning for 2023. The informal theme for this issue is the transition from theory to practice, and the role that theory plays in distance learning. Significantly, this issue has a very international feel to it. Contributors are from Ghana, Nigeria, South Africa, South Korea, the UK and the USA. The first paper by Ukwoma and Ngulube (2021) from the University of South Africa and University of Nigeria, respectively, identifies trends and patterns of theory use in open and distance learning research by examining research articles published in open and distance journals between 2009 and 2018, including Open Learning. The authors analysed more than 1300 journal articles, applying a content analysis methodology, to discover that 385 theories were used in 366 articles. The theories are from the disciplines of education, social sciences and information systems, with some of the most cited theories being transactional distance theory, social constructivism, activity theory and community of practice theory. It is interesting to note that the relationship between transactional distance theory and activity theory has also been explored within an earlier Open Learning article by Kang and Gyorke (2008). The article within this issue is worth studying since it provides useful guidance to researchers about the role of theory in the generation of knowledge, highlighting that theory is ‘one of the pillars of research’ and helps to ‘explain how things work and why’. The discussion about the differences between models, concepts and theories is thought provoking. In some respects, this first paper sets the scene for those that follow. The second paper, by Black (2020), Bissessar and Boolaky, from the University of Liverpool, UK, and the University of Lincoln, UK, shares a critical literature review of the use of the PsyCap (psychological capital) model in relation to university students’ learning. Psychological Capital is a model normally used to understand persistence in the workplace; here, the authors bring to the forefront the model’s relevance in the context of the changing landscape of online learning. The review, conducted in 2019, provides a history of online education and pedagogy, as well as the role of the PsyCap model and its application in higher education. The value and originality of this article comes from what it brings together. A broad number of theories are referenced which can, of course, be useful with facilitating further research. Moving from the theoretical to the practical, Lange’s article (2021), focused on students studying at the Open Cyber University in South Korea, explores how personalised e-learning experiences within massive online learning classes can reduce the impact of cognitive load. Lange applies a quantitative survey method and analyses responses from over 2000 students. This survey facilitates the exploration of e-learning personalisation (ELP) from different perspectives and its correlatio
欢迎阅读《2023年开放学习》第三期。这个问题的非正式主题是从理论到实践的过渡,以及理论在远程学习中所起的作用。值得注意的是,这个问题有一种非常国际化的感觉。撰稿人来自加纳、尼日利亚、南非、韩国、英国和美国。分别来自南非大学和尼日利亚大学的Ukwoma和Ngulube(2021年)的第一篇论文,通过检查2009年至2018年期间在开放和远程期刊(包括开放学习)上发表的研究文章,确定了开放和远程学习研究中理论应用的趋势和模式。作者运用内容分析方法分析了1300多篇期刊文章,发现366篇文章中使用了385个理论。这些理论来自教育、社会科学和信息系统等学科,其中被引用最多的理论是交易距离理论、社会建构主义理论、活动理论和实践共同体理论。值得注意的是,交易距离理论和活动理论之间的关系也在Kang和Gyorke(2008)的早期开放学习文章中进行了探讨。这期中的文章值得研究,因为它为研究人员提供了关于理论在知识生成中的作用的有用指导,强调理论是“研究的支柱之一”,有助于“解释事物是如何运作的以及为什么”。关于模型、概念和理论之间差异的讨论发人深省。在某些方面,这第一篇论文为后面的文章奠定了基础。第二篇论文由来自英国利物浦大学和英国林肯大学的Black(2020)、bisessar和Boolaky撰写,他们分享了一篇关于在大学生学习中使用心理资本(PsyCap)模型的重要文献综述。心理资本是一种通常用于理解职场持久性的模型;在这里,作者将该模型在不断变化的在线学习环境中的相关性带到最前沿。该审查于2019年进行,提供了在线教育和教学法的历史,以及PsyCap模型的作用及其在高等教育中的应用。这篇文章的价值和原创性来自于它所汇集的内容。参考了大量的理论,当然,这些理论对促进进一步的研究是有用的。从理论到实践,Lange的文章(2021)专注于在韩国开放网络大学学习的学生,探讨了大规模在线学习课程中的个性化电子学习体验如何减少认知负荷的影响。Lange采用定量调查方法,分析了2000多名学生的反馈。本研究有助于从不同角度探索网络学习个性化(ELP)及其与不同类型的认知负荷(相关的、内在的和外在的)的相关性。本文值得注意的是如何将理论作为一个透镜来分析结果。It开放学习:开放、远程和电子学习学报,2023年,第38卷,第3期。3, 191-193 https://doi.org/10.1080/02680513.2023.2216711
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引用次数: 0
Ethical use of information technology in higher education 高等教育中信息技术的道德使用
IF 4.8 Q1 Social Sciences Pub Date : 2023-05-14 DOI: 10.1080/02680513.2023.2213267
Wida Wulandari
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引用次数: 1
The extent to which smart wearable device data can be used in medical decision-making: a field study 智能可穿戴设备数据可用于医疗决策的程度:一项实地研究
IF 4.8 Q1 Social Sciences Pub Date : 2023-05-01 DOI: 10.21608/jdlol.2022.300807
A. Mohamed, sayed Bekhet
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引用次数: 0
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Open Learning
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