共查询到19条相似文献，搜索用时 843 毫秒
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为全面系统分析在线学习投入度影响因素,提升学习者在线学习质量,从学习生态观视角出发,使用系统动力学方法,构建学习者在线学习投入度影响因素系统动力学模型。采用层次分析法对模型进行仿真分析,结果显示：教学环境、社会交互环境、情感心理环境对学习者在线学习投入影响较强,物理环境和制度规范环境影响较弱。进一步分析表明,教学活动设计、与教师交互和情感体验是影响在线学习投入的高杠杆因素。从精心设计教学活动,优化教学环境;发挥教师主导作用,构造多边良性循环的社会交互环境;增强学习者情感体验,构建各子系统协同共建的情感心理环境等方面着手,致力于提升学习者在线学习质量,能促进在线学习系统平衡、协调和可持续发展。 相似文献
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研究表明,在线学习投入是影响学习绩效的关键要素,开展在线学习投入研究可以为学习者提供针对性的教学干预和过程性的学习支持.研究通过对不同维度进行分析,构建了在线学习投入分析模型,并以中国大学MOOC"教育传播学"为例探究在线学习投入与学习绩效之间的关系.研究结果显示,在线学习投入中的认知投入、情感投入和社交投入与学习绩效呈显著正相关关系;在线学习普遍存在浅层的认知投入和无效的行为投入;积极的情感投入和社交投入能够有效提升学习绩效. 相似文献
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《华东师范大学学报(教育科学版)》2021,(7):38-49
教学交互是实现在线教与学再度整合的关键,也是影响学生在线学习投入的重要因素。作为同步课堂特殊交互方式之一的视频交互亦对教学交互和学生在线学习投入的关系产生重要影响。基于30所高校15441名研究生的调查数据,通过结构方程模型与分层回归模型,围绕在线课程教学交互与学习投入的关系展开分析。结果发现,在线课程生生交互、生师交互和内容交互能分别正向预测学生的在线学习行为投入、认知投入和情感投入;生生视频交互正向调节了教学交互与行为投入、认知投入以及情感投入的关系;而生师视频交互对教学交互与在线学习投入的关系无显著影响。在未来的在线教育过程中,可通过营造社会性交互环境、丰富交互内容、关注"触发性"交互事件、保障视频交互质量等方式促进学生在线课程的学习投入。 相似文献
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在线学习投入是保证"停课不停学"期间在线教学质量的重要条件。对大学生开展调查,运用描述统计和回归分析法对疫情期间大学生在线学习准备度的现状、大学生在线学习投入度的现状进行分析,可以发现在线学习准备度对大学生在线学习投入度的影响以及在线学习自我效能感、感知教师支持、在线学习平台体验在其中的中介作用。结果表明:大学生在线学习准备不足;大学生在线学习投入整体不高;大学生在线学习准备度对大学生在线学习投入度具有显著影响;在线学习自我效能感、感知教师支持、在线学习平台体验在在线学习准备度和在线学习投入度之间存在中介效应。因此,可以从技术支持维度、在线学习资源设计维度、教师支持维度着手提升学生的在线学习投入度。 相似文献
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在线学习已经成为重要的学习方式之一,与之相对应的在线学习力成为一个热点问题。通过收集S校7位大学生的在线讲座信息、对Y校8位优秀网络教育学生进行访谈获取的资料,以自我决定理论为指导,基于扎根理论的三级编码方法,利用NVivo12.0质性分析软件构建了动机—行为—绩效的在线学习力模型,具体包括学习动机、学习投入、学习技能、学习情绪和学习绩效5个维度。其中,学习动机由目标倾向和价值意义组成;学习投入由意识认知、行为努力和社交支撑构成;学习技能落实在学习策略、信息能力和综合能力3个方面;学习情绪具有积极心态和负面情绪2个类别;学习绩效则体现在学习业绩和学习满意度2个层面。从教育视角来看,提高在线学习力必须强化在线学习体验,加强教师的教学设计和教学干预,完善在线学习绩效评价等。 相似文献
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在线学习环境下学生的全景式行为表现反映着学生的真实学习投入状况,进而折射出线上教学的质量。研究中以混合学习环境下的SPOC实践为例,从在线学习行为的内隐性和外显性特征两个维度构建学习行为分析的象限图,试图对学习者的在线学习投入表现、学习效果以及内隐性和外显性交互影响作用的异同进行较全面的分析。研究发现：（1）在学习投入水平上,作业类学习任务达到较高的行为投入,而自主选择类的行为投入较低。（2）在线学习投入的学习效果上,全面投入类行为的学习效果要优于主动投入类行为和被动投入类行为的学习效果;而主动投入类行为和自我管理类行为的学习效果又要优于规律投入类行为和绩效投入类行为。（3）从学习行为内隐性与外显性交互影响的作用来看,当行为内隐性和外显性都呈现为高投入时,学习效果与行为投入趋于一致;当行为内隐性和外显性高低投入不一致时,学习效果并不理想。 相似文献
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伴随在线学习的需要和对在线学习效果的研究,本研究基于预备—过程—结果的3P分析框架,对10所高校1496名大学生展开问卷调查,探索在线学习中大学生数字化学习能力、学习投入与学习效果之间的关系。研究发现,数字化学习能力和在线学习效果呈显著正相关;在不同学校类型和年级等个体特征上,大学生的数字化学习能力和学习效果存在显著性差异;数字化学习能力既能直接预测在线学习效果,还能通过学习投入间接影响在线学习效果。其中,在线学习投入的中介作用能够解释数字化学习能力和学习效果二者关系的57.18%。为此,建议从以下3方面采取措施提升在线学习效果:因材施教,培养学生的数字化学习能力;打造线上“金课”,促进优质资源融通共享;激发动机,提高学生在线学习投入。 相似文献
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在线学习已成为教师专业发展的主要途径,参加学习的人员规模大、行为表现复杂。为了探析教师在线学习行为的群体特征,该文以Y市四期教师在线培训为例,应用统计分析、序列分析、关联规则、社会网络分析等方法,从学习活跃、学习投入时间、学习行为序列、社会交互四个方面分析了教师在线学习行为的群体特征。研究发现:教师在线学习活跃性较高;在线学习时间投入充足;在线学习目的性较强且行为活动方式简单;社会交互情况不够理想。因此,建议实施在线学习与线下集中研讨相结合的混合式教师培训,培训安排与支持服务、学习内容与活动设计应符合教师在线学习规律,并提供有效的技术脚手架和干预机制,以期提高教师培训效益。 相似文献
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混合式学习以其能够促进主动和深度学习的优势,在国内外高等教育教学中得到广泛应用。本研究的目的是,在把握学生学习投入现状的基础上,进一步探讨影响混合式学习环境下学生学习投入的内外部因素。研究采用问卷的方式进行调查与系统分析,结果发现:混合式学习背景下,学生整体学习投入为中等偏上水平,相对而言,学生行为投入较高,情感投入表现中等,认知投入最低。影响学习投入的关键因素从高到低依次为教师教学、学生学习动机、平台资源等,同时学生的性格、班级角色、师生关系等也是影响学生学习投入的重要因素。在此基础上,研究提出改进建议:提高教师混合式教学素养,提高学生满意度与学习投入水平;优化线上、线下学习活动设计,持续激发学生学习动机;丰富在线学习资源形式,提升质量,激发并维持学生在线学习兴趣;融合线上、线下多元互动,促进主动学习;构建易用、有用的在线教学平台,改善线上学习体验。 相似文献
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交互是在线学习的灵魂,在线学习交互程度包含交互频度和交互深度两个方面。学习风格的差异是否会影响学习者的在线学习交互程度及其学习结果,已经成为在线学习交互研究领域的热点问题。本研究首先通过理论分析提出假设:学习风格会影响在线学习交互程度及学习效果,然后通过实验研究验证假设。研究根据Kolb的学习风格分类模型对被试对象进行分类,并使用QQ群作为交互工具,对一段时间内的教学实验数据进行分析。参与交互的频度以学习者在QQ群中的发言数量(条数)来考察,并使用内容分析法将学习者的发言内容划分为简单分析类、分享资源类、探讨问题类以及情感交流类等四种类型;以学习者发布探讨问题类发言的数量来衡量其参与交互的深度,并运用方差分析法对实验结果进行验证。本研究得出以下结论:学习风格直接影响在线学习交互的频度和深度;学习风格对学习绩效并没有造成直接的影响;交互的频度对学习绩效的影响也不显著,交互深度对学习绩效的影响非常明显。基于此结论,参与在线学习的教师应该关注学习者的学习风格差异,改变交互方式和交互策略,从而改进在线学习者的交互绩效。 相似文献
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Susan Y. H. Sun 《Distance Education》2014,35(1):18-42
This study builds on this author’s 2011 article in which the author reflects on the pedagogical challenges and resultant changes made while teaching two fully online foreign language papers over a four-year period (Y. H. S. Sun (2011). Online language teaching: The pedagogical challenges. Knowledge Management &; E-Learning: An International Journal, 3, 428–447). Drawing on current literature, the present study surveyed learners (n?=?46) in an attempt to investigate the difficulties that confronted them and the ways they had adapted to fully online learning. The quantitative and qualitative data obtained from a questionnaire were integrated and analyzed with an inductive method. Results identified six major difficulties: (1) following the schedule and studying regularly, (2) getting hold of classmates and finding suitable time to work together, (3) pairing/teaming up and working collaboratively, (4) ensuring constant engagement with the class, (5) keeping self-motivated and being a self-directed learner, and (6) socializing. 相似文献
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Jill W. Fresen 《Distance Education》2018,39(2):224-240
AbstractDistance education reaches out to non-traditional students in geographically dispersed locations, who are unable to attend face-to-face classes. Contact institutions have been quick to realise the many advantages of distance (online) learning, such as easy access to learning materials, interactive activities, assessment and communication tools. However, the path to anything approaching dual-mode provision has not been without obstacles. In South Africa in the early 2000s, the Council on Higher Education reinforced the mandate of distance education universities and decreed that contact institutions should not encroach on this territory. Subsequently, various frameworks and guidelines emerged which can inform current consideration of dual-mode provision. This practitioner report presents two case studies (University of Pretoria, South Africa; and University of Oxford, United Kingdom) which explore the implications for contact institutions in expanding their provision to include distance education. 相似文献
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Lisa C. Yamagata-Lynch Jaewoo Do Anne L. Skutnik Duren J. Thompson Adam F. Stephens Cheryl A. Tays 《Open Learning》2013,28(2):178-189
This article reports on a case of participatory self-directed online learning within the context of a graduate-level instructional technology course. The course was about online learning environments and relied on both asynchronous and synchronous technologies. In this case, the instructor and students engaged in collaborative course design through one of the assignments where student teams and the instructor led one week’s worth of course activities and discussions. This article begins with a discussion of the literature on participatory self-directed online learning. Then, the article presents an overview of the course design, detailed discussion of the assignment that framed student participatory self-directed learning and two examples of student assignments. The framing question for organising this case was as follows: What lessons can a team of graduate students and the instructor learn about self-directed participatory online learning from a collaborative design project? The article ends with the overall lessons learned from the case and implications to future design of online activities. 相似文献
14.
Chia-Wen Tsai 《Interactive Learning Environments》2016,24(4):665-680
As more and more educational institutions are providing online courses, it is necessary to design effective teaching methods integrated with technologies to benefit both teachers and students. The researcher in this study designed innovative online teaching methods of team-based learning (TBL) and co-regulated learning (CRL) to improve students' computing skills. The participants in this study were 124 undergraduates from three classes taking a compulsory course titled “Applied Information Technology: Data Processing.” There were three blended classes involved in this empirical study. The first group (EG1), which received the treatment of online TBL and CRL, and the second group (EG2), which received the treatment of online TBL only, were the experimental groups. The last group, which received the traditional teaching method, served as the control group. Before the experiment started, the author conducted a pretest to confirm that the differences of students' computing skills among the three groups were not significant at the beginning of the course. Based on the analysis of the post-test, the results indicate that students who received the intervention of online CRL had significantly better computing skills for using Excel by semester-end than those without. However, the intervention of online TBL did not contribute to better learning effects in this study. Based on the findings in this study, the author points out implications for teachers, schools, and educators, particularly for those responsible for courses focusing on solving ill-structured problems and those students who have typically received traditional didactic pedagogy for many years. 相似文献
15.
This paper reconceptualised the interrelated learning constructs in higher education based on the Dynamic Systems Theory (DST). The university students' learning experience before, during and post the Emergency Online Learning (EOL) was investigated to explore the dynamic changes among the learning constructs in higher education. A case study of a Chinese university was conducted, and one hundred and ninety-three university students participated in the questionnaire. The data collected from this empirical research identify different hierarchical constructs of the conceptualised learning environment and reconceptualise the period of system reformation influenced by the EOL. The key findings include the identifications of the attractors and repellors framed by the DST and the impact on the changes in the learning constructs. The results of this paper contribute to further understanding of the university constructs' changes to better plan and support students' active learning in higher education. 相似文献
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Thomas Chandler Yoon Soo Park Karen L. Levin Stephen S. Morse 《Interactive Learning Environments》2013,21(5):456-468
This article describes the design and evaluation of a blended online/face-to-face course completed by more than 6000 learners throughout the United States of America and internationally. The educational impact was monitored using a variety of evaluation strategies. The results, in terms of achieved knowledge and overall satisfaction, indicate that a focus on online instruction combined with face-to-face, hands-on activities showed statistically significant improvement in the learners' understanding of the course material, while also validating the impact of the curriculum in their workplace. As illustrated through the blended course design, this study further showed that online learners with greater improvement in their pre- and posttest scores also exhibited significantly greater likelihood in demonstrating competency in several areas during the hands-on portion of the course. In particular, participants working in the information systems field exhibited the highest mean difference score (21.49) on the pre- and the posttests, while those working in the laboratory had the lowest (12.17). Likewise, the odds that participants who reviewed the course contents sought to further understand their job roles was 58.2 times greater for those in information systems, while it was only 19.0 times greater for laboratory staff, than those who did not review their job roles. 相似文献
18.
金盈盈 《佳木斯教育学院学报》2015,(3)
随着教育信息化的发展,混合式学习模式开始广泛应用教育教学中。混合式模式作为新型学习模式,对教师的素质和能力提出了更高的要求。教师需要在教学组织过程中发挥引导,启发,监督教学过程的主导作用。本文将通过对混合式学习模式理论的探讨,对教师在大学英语混合式学习模式的主导作用进行分析。 相似文献
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Emtinan Alqurashi 《Distance Education》2019,40(1):133-148
Student satisfaction is used as one of the key elements to evaluate online courses, while perceived learning is considered as an indicator of learning. This study aimed to explore how online learning self-efficacy (OLSE), learner–content interaction (LCI), learner–instructor interaction (LII), and learner–learner interaction (LLI) can predict student satisfaction and perceived learning. A total of 167 students participated in this study. Regression results revealed that the overall model with all four predictor variables (OLSE, LCI, LII, and LLI) was significantly predictive of satisfaction and perceived learning. The study found that LCI was the strongest and most significant predictor of student satisfaction, while OLSE was the strongest and most significant predictor of perceived learning. However, LLI was not predictive of student satisfaction and perceived learning. This study suggests that instructors employ strategies that enhance students’ OLSE, LCI, and LII. Research is needed to understand how LLI fosters student learning and satisfaction. 相似文献