混合课程一年级本科生在线学习的参与度和满意度

E. Gyimah
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引用次数: 1

摘要

在21世纪的今天,高等教育越来越多地采用混合式学习作为一种创新的教学方法。由于学习者的多样性和他们不同的学习方式,教师们一直在寻找在课堂内外吸引学习者的方法。与面对面学习相比,混合式学习的在线方面为学习者提供了随时随地学习的灵活性和便利性,从而提高了学习者的满意度。本文评估了在线学习如何在混合课程中提高学生的学习参与度和学习者满意度。结果表明,混合学习提高了学生的参与度,学生对混合课程感到满意。虽然有一些学生评论说,不稳定的互联网接入是一个挑战,但总体而言,混合式学习体验是积极的。
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Online Learning Engagement and Satisfaction of First Year Undergraduate Students in a Blended Course
The adoption of blended learning as an innovative approach to teaching and learning in higher education has increased in today’s 21st century classroom. And with the diversity of learners and their different learning styles, instructors are constantly looking at ways to engage learners in and outside of the classroom.The online aspect of blended learning provides learners with the flexibility and ease of learning anytime and anywhere as against face-to-face learning, thus leading to learner satisfaction.This paper assessed how online learning has enhanced students’ learning engagement and learner satisfaction in a blended course. The results showed that blended learning enhanced student engagement and that the students were satisfied with the blended course. Although a few students commented that unstable internet access was a challenge, overall, the blended learning experience was positive.
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期刊介绍: Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
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