| In recent years,with the rapid development of information technology,how to use the paradigm of integration of education and technology to promote deep learning of learners has become a research hotspot in the field of education.Massive Open Online Courses(referred to as "MOOC")are favored by global higher education as a new type of education with better integration of education and technology.While MOOCs are developing in full swing,a series of "high dropout rates,low participation,and superficial learning" issues have caused many scholars to think.There is no lack of analysis and research on such problems in the existing research,but most of its research focuses on revealing the influencing factors of high dropout rate,the theoretical reorganization of the Blended Learning Models,and the research object is basically formal learners.The Horizon Report: 2016 Higher Education Edition regards the shift to deep learning as a medium-term impact trend to promote the adoption of higher education technology,and classifies the integration of formal and informal learning as an important challenge that hinders the adoption of higher education technology and encourages students to use Interested in participating in informal learning activities.Therefore,how to encourage students to participate in informal MOOC learning activities,reduce dropout rate,improve learning participation,and accelerate the transition from superficial learning to deep learning has become a problem that academics have to study.This research is based on the MOOC learning community’s practical learning perspective,taking informal learners as the research object,introducing constructivist learning theory,deep learning theory,hybrid learning theory,learning community concept and deep learning theory,referring to existing deep learning models,from Based on the ecological chain of three cores,four stages,and three community learning strategies,the MOOC Deep Learning Community Ecological Model is designed.Design the MOOC depth with the three deep learning abilities of mastering core knowledge,critical thinking,complex problem solving in the cognitive domain,collaborative learning in the interpersonal domain,effective learning and learning inthe domain of self-development,and learning beliefs.Learning ability evaluation indicators and questionnaires.Then,taking the “ Multimedia Technology and Application” MOOC course as an example,three rounds of action research were carried out based on the three community learning strategies of Jigsaw incorporating puzzle concepts,O-CDIO incorporating educational engineering concepts,and EDIPT incorporating design thinking,and Each round of research is formed in the process of continuous spiral iteration of problems,plans,actions,observations,and reflections.Finally,the author collects video,quiz,discussion,check-in,total score and other learning behavior data of UOOC platform learners,and effectively retrieves 106 questionnaire data about "MOOC deep learning ability".The author uses factorial exploratory analysis(such as Bartlett test,Varimax factor rotation,and Cronbach αcoefficient test)to test the reliability and validity of the questionnaire and the correlation between 20 items and three kinds of deep learning capabilities.Then use the data non-parametric rank sum test(such as multiple comparison Kruskal-Wallis test and paired Mann-Whitney U test)to measure whether there is a significant difference between the control group and the action group and the three-round action group.The results of the study show that: there are no significant differences in the discussion scores between the control group and the action group,and there are significant differences in other dimensions;the video scores and core knowledge of the three rounds of action group learners There are no statistical differences in mastery,and there are significant differences in other dimensions.Among the four groups of research samples,the third round of action groups has more obvious effects on learning effectiveness and deep learning ability than the other three groups.This shows that the MOOC Deep Learning Community Ecological Model has a significant promotion effect on the learner’s learning effect and the training of deep learning ability,and can give the learner a good emotional experience and can effectively promote the learner’s deep learning. |
