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1.
在线学习作为一种学习者建构性且自主的学习,其中学习动机是指引与驱动学习者学习的动力,也是影响在线学习效果的关键因素。在已有研究基础上,对93名学习者的在线学习动机及其影响因素进行调查研究,从学习者、教学者、课程和平台4个维度及其隶属的13个因素分析其对在线学习动机的影响。研究结果显示,学习需求、自我效能感、教师个人魅力、授课水平、课程内容、课程考核、技术支持、学习交互及奖励措施对在线学习动机可发挥显著正向影响作用。因此,依据数据分析结果,提出激发在线学习者学习动机的建议。  相似文献   

2.
文章基于深度学习理论、三元交互理论,通过对234位高校在校生的问卷调查来探究大学生混合式课堂中深度学习的影响因素,调查发现:学习者的自我效能感、教师和线上平台环境都对学习者深度学习行为存在显著正向影响,其中自我效能感的影响最为显著;学习动机、团队氛围、线下课堂环境对深度学习行为并未产生显著的影响.研究结果有利于未来混合式课堂的建设.  相似文献   

3.
利用在线学习者画像模型,从一般特征、心理特征、行为特征和习得表现四个维度对高职院校在线学习者给予精准画像分析。研究发现,高职院校在线学习者的学习动机、自我效能感、学习策略、资源访问、交互协作等要素是影响课程综合成绩的重要因素。因此,高职院校需要正确疏导学习者的学习心理,激发学习者自我效能感,引导学习者综合应用多种学习策略,加强线上学习行为调控,提高线上教学资源质量等,以提升高职院校学生的线上学习效果。  相似文献   

4.
文章基于深度学习理论、三元交互理论,通过对234位高校在校生的问卷调查来探究大学生混合式课堂中深度学习的影响因素,调查发现:学习者的自我效能感、教师和线上平台环境都对学习者深度学习行为存在显著正向影响,其中自我效能感的影响最为显著;学习动机、团队氛围、线下课堂环境对深度学习行为并未产生显著的影响.研究结果有利于未来混合式课堂的建设.  相似文献   

5.
本研究通过对参加四川广播电视大学专兼职教师教育技术能力培训中的教师进行调查,利用ISM法构建了包括学习准备、自我效能感、有恒性、学习动机、辅导教师特点、网络课程特点、硬件环境特点七个因素的解释结构模型,并使用AMOS软件进行了分析,结果显示:网络课程特点直接正向影响辅导教师特点,进而影响学习者的自我效能感、有恒性、学习动机、学习准备;辅导教师特点直接正向影响学习者的自我效能感、有恒性、学习动机、学习准备;硬件环境特点与其他六个因素没有显著的影响关系。最后根据研究结果提出了相应建议和对策。  相似文献   

6.
为探讨网络学习空间中教师支持、大学生学习投入及学业自我效能感三变量之间的关系,采用自编问卷对488名大学生进行调查.结果表明:大学生学业自我效能感、教师支持水平均较高;网络空间中教师支持越高,大学生学业自我效能感、学习投入也越高;网络学习空间教师支持通过学业自我效能感对大学生学习投入产生影响,学业自我效能感起到部分中介作用.网络学习空间下,应进一步加强教师情感支持,关注低效能感学生群体,鼓励教师采用多样化教学策略,提升学生的情感投入与交互投入.  相似文献   

7.
黄庆双 《教育技术导刊》2021,19(12):247-251
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   

8.
本研究以207名远程学习者为被试,研究了远程学习者学习动机、自我效能感、归因与学习策略的关系。结果表明:(1)远程学习者的学习效能感对学习策略水平有直接的正向预测作用;学习动机对学习策略有间接正向预测作用;(2)不同归因方式对学习策略的影响不同,内部归因方式通过自我效能感对学习策略产生间接正向预测作用,外部归因方式则既可以通过自我效能感对学习策略产生间接负向,也可以直接负向预测学习策略水平;(3)远程学习效能感对学习策略的影响效应值最大,其次是归因方式,最后是学习动机。本文作者根据以上结果对远程教学的学习支持提出了一些建议。  相似文献   

9.
在疫情防控的关键时期,规模化在线学习是落实“停课不停学”的重要方式。与以往的在线学习相比,规模化在线学习在学习场所、学习任务、学习同伴、思维方式、评价方式等多个方面发生了转变。它是教育信息化实践的一次特殊尝试,同时,其也在重塑在线学习的价值,形成了一种全新的学习生态。为了了解我国规模化在线学习的现状、准备度等情况,运用问卷调查法,对全国3148名学生进行调查研究,调查结果显示:一是在线学习满意度较低,感知教师支持较高,在线学习准备度一般。其中,在线交互效能感最高,计算机自我效能感准备不足;二是人口学因素对规模化在线学习准备度有不同程度的影响,年级、所在区域、每天在线学习时长所带来的差异影响显著;三是在线学习态度、教师支持、计算机自我效能感、自我导向学习、学习动机、学习控制力、在线交互效能感等,正向影响学生的在线学习满意度。因此,要提高规模化在线学习效果,可以从提升师生信息素养、加强培养自主学习能力、改善家校互动模式、增强教师支持、关注农村和留守儿童的在线学习等方面着手。在后疫情时期,还应进一步思考“教师如何迎接在线学习”“学生如何学习”“如何设计在线课程和实现优质教育资源共享”“在线学习如何与线下学习有机融合”等问题。  相似文献   

10.
雷丹 《教育学术月刊》2012,(12):72-74,77
人格特质是影响成人自我导向学习的内在要素,成人的内在学习倾向与需求有利于其形成较高的学习动机与自我效能感;自主学习意识与能力可促进成人开展主动学习、独立学习和效率学习;而积极的学习态度与信念则有助于成人顺利完成学习任务。通过成人学习者自我支持策略、教师的分类支持策略和学习环境设计的支持策略,尝试帮助成人提升自我导向学习者所具备的相关人格特质。  相似文献   

11.
饶爱京  万昆 《教育科学》2020,36(2):31-38
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   

12.
This study investigated middle school students’ engagement in science in relation to students’ perceptions of the classroom learning environment (teacher support, student cohesiveness, and equity) and motivation (self-efficacy beliefs and achievement goals). The participants were 315 Turkish sixth and seventh grade students. Four hierarchical multiple regression analyses were conducted on the dependent variables of cognitive, behavioral, emotional, and agentic engagement. The results indicated that engagement components were positively predicted by most of the perceived learning environment variables, while motivational factors had some differential predictive effects on engagement components. The predictor variables explained 26, 28, 33, and 30 % of the variance in the cognitive, behavioral, emotional, and agentic engagement components, respectively.  相似文献   

13.
As hypermedia, online teacher professional development (TPD) should ideally support diverse learners to work with online content effectively because it involves multiple representations and a nonlinear format. Differences among participants in motivation and learning provide challenges for design. The present study is a use-inspired, mixed-method study of 164 teachers’ motivation and learning in an unmoderated online workshop. It addresses participants’ demographic and motivational profiles, participation in this type of workshop (e.g., the frequency, duration, and focus, as well as their work with technology-enhanced, nonroutine challenge problems and journal assignments), the predictive value of the initial questionnaire, and implications for design. Findings indicate that while three clusters of motivational profiles could be identified (low interest, low self-efficacy, and less math; low interest, high self-efficacy, and more math; high interest, high self-efficacy, and more math), whether the teachers continue to participate appears to be related to the structure and content of the workshop, not just these profiles. Findings are interpreted as suggesting that the potential of hypermedia lies in its designers’ abilities to support participant stake by providing for multiple ways into thinking and working with disciplinary content—design that both accommodates and supports those with differing strengths and needs. Implications for studying motivation and learning online are also discussed.  相似文献   

14.
ABSTRACT

Learning outcomes is mediated by multi-channel learning environment and social engagement. Both factors may play a significant role in understanding motivation to learn in massive open online courses (MOOCs). The goal of this study was twofold: a. to compare behavior intention patterns of traditional e-learning platform and MOOCs participants; b. to examine relationships between behavior intention and perceived social support. Therefore, this study applies the concepts of technology acceptance model and social support theory to examine the underlying the determinants of learners’ continuance intention factors for MOOCs in Taiwan. In addition, this study adopts perceived convenience, computer self-efficacy, sense of community, and perceived gains as the constructs of social support perspective. Our examination reveals that sense of community, and perceived gains influence learners’ behavior intention of both general e-learning platform and MOOCs. However, perceived convenience and computer self-efficacy did not influence learners’ behavior intention for traditional e-learning platform, but still have efforts for MOOCs. In summary, our results show that the social support theory and technology acceptance model could be the suitable examination model to investigate the behavioral intentions for MOOCs. These findings have significant theoretical and managerial implications.  相似文献   

15.
Engagement as an essential factor for active and meaningful learning of English-as-a-Foreign-Language (EFL) is affected by both learner external (e.g., teacher support) and internal (e.g., growth language mindset and L2 grit) factors. This study examined the relationship between perceived teacher support, growth language mindset, and academic engagement by considering the mediating role of L2 grit. The participants were 295 Iranian EFL learners selected via multi-stage cluster sampling. The SEM results indicated that perceived teacher support and growth language mindset directly and positively predicted academic engagement. Additionally, L2 grit mediated the relationships ‘between perceived teacher support and academic engagement’ and ‘between growth language mindset and academic engagement’. EFL learners receiving more teacher support and endorsing higher levels of growth language mindset can successfully overcome failures and difficulties in their learning process by showing more persistence in dealing with challenges and sustaining their interest, which could considerably enhance their engagement in learning.  相似文献   

16.
With the affordances of mobile devices and experience-sampling method, this study took a person-in-context research orientation and examined the interactive relationship between self-efficacy, contextual features, and behavioral and cognitive engagement in authentic mobile learning contexts. Participants include 52 college students in teacher education programs. They responded to experience-sampling surveys based on the study events that they planned for the two weeks prior to exams during the semester. Regression analysis revealed that students’ course-specific self-efficacy and characteristics of planned study events were significantly associated with students’ behavioral engagement related to how well students implemented their study plans. Hierarchical regression analysis also showed that contextual features of the study environment, including study location and reasons for studying, moderated the relationship between task-specific self-efficacy and cognitive engagement. The results highlight the critical roles of self-efficacy and contextual features in influencing engagement in authentic anywhere and anytime mobile learning. The affordances and hinderances of experience-sampling method and mobile technologies in supporting engagement research were discussed.  相似文献   

17.
Despite the rapid growth of online learning in higher education, the dropout rates for online courses has reached 50 percent. Lack of student engagement rank as a critical reason for frequent online course dropout. This article discusses autonomy support as a strategy to enhance online students’ intrinsic motivation and engagement. Drawing from current theories and research, three guidelines are offered to provide choices, rationale behind why assignments are designed in particular ways, and flexibility in completing more personally meaningful assignments. Each guideline is accompanied with examples from existing higher education courses. This article is intended for educators and designers of online learning to employ autonomy support strategies to engage students in active participation and successful completion of the course.  相似文献   

18.
探究在线学习体验影响因素及其构成关系,有助于提高学习者的在线学习效果.本研究在文献调研的基础上,以Blackboard远程教学平台实用英语在线课程为例,采用调查问卷、解释结构模型及结构方程模型等方法,确定了影响学习者在线学习体验的6个关键因素(师生互动、同伴交互协作、课程任务、教师教学能力、在线资源特性、课程活动设计)...  相似文献   

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