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Will personalized e-Learning increase deep learning in higher education?

机译:个性化的电子学习将增加高等教育深入学习吗?

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PurposeRecent research in higher education has pointed out that personalized e-learning through the use of learning management systems, such as Moodle, improves the academic results of students and facilitates the detection of at-risk students.Design/methodology/approachA sample of 124 students following the Degree in Health Sciences at the University of Burgos participated in this study. The objectives were as follows: to verify whether the use of a Moodle-based personalized e-learning system will predict the learning outcomes of students and the use of effective learning behaviour patterns and to study whether it will increase student satisfaction with teaching practice.FindingsThe use of a Moodle-based personalized e-learning system that included problem-based learning (PBL) methodology predicted the learning outcomes by 42.3 per cent, especially with regard to the results of the quizzes. In addition, it predicted effective behavioural patterns by 74.2 per cent. Increased student satisfaction levels were also identified through the conceptual feedback provided by the teacher, arguably because it facilitated a deeper understanding of the subject matter.Research limitations/implicationsThe results of this work should be treated with caution, because of the sample size and the specificity of the branch of knowledge of the students, as well as the design type. Future studies will be directed at increasing the size of the sample and the diversity of the qualifications.Originality/valueLearning methodology in the twenty-first century has to be guided towards carefully structured work from the pedagogic point of view in the learning management systems allowing for process-oriented feedback and PBL both included in personalized e-learning systems.
机译:高等教育的Purposerecent研究已经指出,通过使用学习管理系统的个性化电子学习,例如Moodle,提高了学生的学术结果,并促进了风险学生的检测。124名学生的危险学生.Design/Methodology/approacha样本遵循布尔戈斯大学健康科学的学位参加了这项研究。目标如下:验证是否使用基于Moodle的个性化电子学习系统的使用将预测学生的学习结果和使用有效的学习行为模式以及研究它是否会与教学实践提高学生满意度.Findingsthe使用包括基于问题的Moodle的个性化电子学习系统(PBL)方法(PBL)方法将学习结果预测到42.3%,特别是关于测验结果的结果。此外,它预测了74.2%的有效行为模式。还通过教师提供的概念反馈来确定学生满意度水平,可以说是因为它促进了对主题的更深层次的理解。研究限制/意识到这项工作的结果应谨慎治疗,因为样本量和特异性学生的知识分支,以及设计类型。未来的研究将在增加样本的规模和资质的多样性。在学习管理系统中的教学角度来看,二十一世纪的人民程度/瓦卢米测说方法必须被引导到允许的教学管理系统面向过程的反馈和PBL都包括在个性化电子学习系统中。

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