Application of Deep Learning on Student Engagement in e-learning environments

Academic attention to educational podcasts has grown significantly in recent years. However, to date, the concept of genres in podcasting is yet to gain scholarly attention. By examining genres emergent from a corpus of educational podcasts available online, this paper introduces the value of genre analysis to educational podcast research. It proposes three genres, named ‘The Quick Burst’, ‘The Narrative’ and ‘The Chat Show’. The three genres show both the versatility of podcasting for education and how genre analysis could introduce new ideas to the educational podcasting literature, including ideas about supporting deep learning in e-learning environments.

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Adaptive e-learning environment based on learning styles and its impact on development students' engagement

International Journal of Educational Technology in Higher Education ◽

10.1186/s41239-021-00289-4 ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Hassan A. El-Sabagh

Keyword(s):

Student Engagement ◽

Learning Environment ◽

Learning Styles ◽

Learning Environments ◽

Control Group ◽

Learning Approach ◽

Quasi Experimental ◽

E Learning ◽

Research Experiment ◽

The Impact

AbstractAdaptive e-learning is viewed as stimulation to support learning and improve student engagement, so designing appropriate adaptive e-learning environments contributes to personalizing instruction to reinforce learning outcomes. The purpose of this paper is to design an adaptive e-learning environment based on students' learning styles and study the impact of the adaptive e-learning environment on students’ engagement. This research attempts as well to outline and compare the proposed adaptive e-learning environment with a conventional e-learning approach. The paper is based on mixed research methods that were used to study the impact as follows: Development method is used in designing the adaptive e-learning environment, a quasi-experimental research design for conducting the research experiment. The student engagement scale is used to measure the following affective and behavioral factors of engagement (skills, participation/interaction, performance, emotional). The results revealed that the experimental group is statistically significantly higher than those in the control group. These experimental results imply the potential of an adaptive e-learning environment to engage students towards learning. Several practical recommendations forward from this paper: how to design a base for adaptive e-learning based on the learning styles and their implementation; how to increase the impact of adaptive e-learning in education; how to raise cost efficiency of education. The proposed adaptive e-learning approach and the results can help e-learning institutes in designing and developing more customized and adaptive e-learning environments to reinforce student engagement.

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Exploring Factors, and Indicators for Measuring Students’ Sustainable Engagement in e-Learning

Sustainability ◽

10.3390/su11040985 ◽

2019 ◽

Vol 11 (4) ◽

pp. 985 ◽

Cited By ~ 16

Author(s):

Jeongju Lee ◽

Hae-Deok Song ◽

Ah Hong

Keyword(s):

Student Engagement ◽

Learning Environments ◽

Online Courses ◽

Community Support ◽

Dropping Out ◽

Validity And Reliability ◽

Confirmatory Factor Analyses ◽

Cognitive Problem ◽

E Learning ◽

Online University Students

The topic of engagement has been attracting increasing amounts of attention in the field of e-learning. Research shows that multifarious benefits occur when students are engaged in their own learning, including increased motivation and achievement. Previous studies have proposed many scales for measuring student engagement. However, very few have been developed to measure engagement in e-learning environments. Thus, developing an instrument for measuring student engagement in e-learning environments is the purpose of this study. The participants of this study were 737 Korean online university students. Initial items were designed based on the literature. The instrument items were reduced from an initial 48 to 24 items after obtaining expert opinion and then validity and reliability analysis. Exploratory and confirmatory factor analyses were also conducted. Six factors, including psychological motivation, peer collaboration, cognitive problem solving, interaction with instructors, community support, and learning management emerged in the 24-item scale. This scale is expected to help instructors and curriculum designers to find conditions to improve student engagement in e-learning environments, and ultimately prevent students from dropping out of online courses.

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Culturally-Sensitive E-Learning Practices for Library Education

Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI ◽

10.29173/cais361 ◽

2013 ◽

Author(s):

Leslie Farmer

Keyword(s):

Online Learning ◽

Learning Environments ◽

Culturally Sensitive ◽

Cultural Dimensions ◽

Educational Model ◽

Cultural Impact ◽

Online Learning Environments ◽

Library Education ◽

Learning Practices ◽

E Learning

With globalization, library educators should address culturally-sensitive instruction design and curriculum, particularly in online learning environments. Hofstede’s cultural dimensions and Bigg’s educational model provide frameworks for addressing cultural impact on library education. Specific techniques are suggested for handling language and online learning issues.Avec la mondialisation, les professeurs de bibliothéconomie devraient incorporer les différences culturelles dans leurs cours ainsi que dans le cursus, notamment en milieu d'apprentissage en ligne. Les dimensions culturelles de Hofstede et le modèle éducatif de Bigg offrent un cadre permettant de traiter de l'impact culturel sur l'éducation. Seront présentées différentes techniques pour aborder les questions de langue et d'apprentissage en ligne.

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Are e-learning Webinars the future of medical education? An exploratory study of a disruptive innovation in the COVID-19 era

Cardiology in the Young ◽

10.1017/s1047951120004503 ◽

2020 ◽

pp. 1-10

Author(s):

Colin J. McMahon ◽

Justin T. Tretter ◽

Theresa Faulkner ◽

R. Krishna Kumar ◽

Andrew N. Redington ◽

...

Keyword(s):

Deep Learning ◽

Carbon Footprint ◽

Quantitative Research ◽

Survey Design ◽

Hybrid Approach ◽

Disruptive Innovation ◽

Cross Sectional Survey ◽

Cross Sectional ◽

E Learning ◽

The Impact

Abstract Objective: This study investigated the impact of the Webinar on deep human learning of CHD. Materials and methods: This cross-sectional survey design study used an open and closed-ended questionnaire to assess the impact of the Webinar on deep learning of topical areas within the management of the post-operative tetralogy of Fallot patients. This was a quantitative research methodology using descriptive statistical analyses with a sequential explanatory design. Results: One thousand-three-hundred and seventy-four participants from 100 countries on 6 continents joined the Webinar, 557 (40%) of whom completed the questionnaire. Over 70% of participants reported that they “agreed” or “strongly agreed” that the Webinar format promoted deep learning for each of the topics compared to other standard learning methods (textbook and journal learning). Two-thirds expressed a preference for attending a Webinar rather than an international conference. Over 80% of participants highlighted significant barriers to attending conferences including cost (79%), distance to travel (49%), time commitment (51%), and family commitments (35%). Strengths of the Webinar included expertise, concise high-quality presentations often discussing contentious issues, and the platform quality. The main weakness was a limited time for questions. Just over 53% expressed a concern for the carbon footprint involved in attending conferences and preferred to attend a Webinar. Conclusion: E-learning Webinars represent a disruptive innovation, which promotes deep learning, greater multidisciplinary participation, and greater attendee satisfaction with fewer barriers to participation. Although Webinars will never fully replace conferences, a hybrid approach may reduce the need for conferencing, reduce carbon footprint. and promote a “sustainable academia”.

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