Cloud-Based M-Learning in a University Context: Student-Teachers’ Perspectives on the Development of their Own Reflective Thinking

Parmigiani, Davide; Benigno, Vincenza; Hidi, A.

doi:10.1007/s11528-019-00412-3

Cited by 10 publications

(15 citation statements)

References 43 publications

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“…In terms of communication tariff, major telecom operators have launched different types and ways of tariff reduction schemes. In this context, mobile learning theory and practical technology are becoming more and more mature [6,7]. Among them, Palau applies mobile learning to art education, describes and explains publications using the method of content-based analysis, and has achieved good application results, but the feedback time in the application process is long, so the use experience needs to be improved [8], in order to find out the problems in the process of biological learning, especially in teachers' understanding of the developed learning media and the use of learning media in the classroom [9].…”

Section: Introductionmentioning

confidence: 99%

Research on Mobile English Learning System Based on iOS

Zhen

2021

Security and Communication Networks

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In order to improve the use experience of mobile learning and reduce the response delay caused by the slow positioning of system resources, research on mobile English learning systems based on iOS is proposed. Firstly, the value of realizing mobile learning is objectively analyzed, and the practical significance of the research is clarified from the perspectives of social development and learning conditions. On this basis, taking the intelligent client equipped with an iOS operating system as the hardware condition of the system, the system architecture, including data access layer, business logic layer, and presentation layer, is constructed by MVC. In the model module, it is divided into ten difficulty levels by using the frequency of vocabulary, the length of words, and the number of syllables of a single word. The learning resources of the reading class are uniformly represented by the vector space model, and the improved TF-IDF is used to calculate the weight of eigenvalues in the resources. According to the calculation results, the resources are also divided into ten difficulty levels, and the divided resources correspond to their respective databases and use regular expressions to find the learning resources that match the access request. Finally, with the support of the iOS protocol, the feedback mechanism between each module is constructed by Express.js. By analyzing the access requests sent and received by the view, the timely call to the target database resources is realized to improve the response rate of the system. The test results show that the function of the designed system can be realized stably, and the module response delay time is stable within 1s; under the ideal network environment, the buffer delay is in the range of 0.4–0.6 s, and the loading delay is no more than 1.8 s when the network speed is 3 Mpbs, which has a good user experience.

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Section: Introductionmentioning

confidence: 99%

Research on Mobile English Learning System Based on iOS

Zhen

2021

Security and Communication Networks

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“…As a consequence of the sudden outbreak of COVID19 in mainland China, the traditional face-to-face or blending teaching activities in higher education have been replaced by cloud-based virtual classrooms since 2020, leading to a shift from ‘forced remote learning’ to ‘the new normal’ online learning environments [ 22 , 23 ]. The role of instructor is one of the important research branches of the learning environment, and it is a significant determinant of students’ learning outcomes.…”

Section: Introductionmentioning

confidence: 99%

Relationship between medical students’ perceived instructor role and their approaches to using online learning technologies in a cloud-based virtual classroom

et al. 2022

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Background Students can take different approaches to using online learning technologies: deep and surface. It is important to understand the relationship between instructor role and student approaches to using online learning technologies in online learning settings supported by cloud computing techniques. Methods A descriptive, cross-sectional study was conducted to analyze the relationships between medical students’ perceptions of instructor role (instructor support, instructor-student interaction, and instructor innovation) and students’ approaches to using online learning technologies in cloud-based virtual classrooms. A 25-item online questionnaire along with a sheet with basic demographic was administered to all medical students at Qilu Medical Schools of Shandong University China. Overall, 213 of 4000 medical students (5.34%) at the medical school participated in the survey. Results The results showed high levels of medical students’ perceived instructor support, instructor-student interaction and instructor innovation. Most students adopted the deep approaches to using online learning technologies. Instructor support, instructor-student interaction and innovation were positively related to students’ deep approaches to using online learning technologies. Instructor support was negatively related to students’ surface approaches to using online learning technologies. Conclusions The relationship between instructor role (instructor support, instructor-student interaction and instructor innovation) and students’ approaches to using online learning technologies highlight the importance of instructor support and innovation in facilitating students’ adoption of desirable approaches to learning from the application of technologies.

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“…As a consequence of the sudden outbreak of COVID19 in mainland China, the traditional face-to-face or blending teaching activities in higher education have been replaced by cloud-based virtual classrooms since 2020, leading to a shift from 'forced remote learning' to 'the new normal' online learning environments [23,24]. Within such a changed learning context, how medical students perceive the instructor role and what is predominant learning approach to using online learning technologies amongst medical students?…”

Section: Introductionmentioning

confidence: 99%

Relationship between medical students’ perceived instructor role and their approaches to using online learning technologies in a cloud-based virtual classroom

Wang

Han

Liu

et al. 2022

Preprint

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Background Students can take different approaches to using online learning technologies: deep and surface. It is important to understand the relationship between instructor role and student approaches to using online learning technologies in online learning settings supported by cloud computing techniques. Methods A cross-sectional quantitative research was conducted to investigate the characteristics of and relationships between medical students’ perceptions of instructor role (instructor support, instructor student interaction, and instructor innovation) and students’ approaches to using online learning technologies in cloud-based virtual classrooms (n = 192). Results The results showed high levels of medical students’ perceived instructor support, instructor-student interaction and instructor innovation. Most students adopted the deep approaches to using online learning technologies. Instructor support and innovation were positively related to students’ deep approaches to using online learning technologies. Instructor support was negatively related to students’ surface approaches to using online learning technologies. Conclusions The relationship between instructor role (instructor support, instructor-student interaction and instructor innovation) and students’ approaches to using online learning technologies highlight the importance of the instructor role in facilitating students’ adoption of desirable approaches to learning from the application of technologies rather than course knowledge, and also provide a guideline for online instructors to use effective course design, assessment and facilitation strategies.

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Cloud-Based M-Learning in a University Context: Student-Teachers’ Perspectives on the Development of their Own Reflective Thinking

Cited by 10 publications

References 43 publications

Research on Mobile English Learning System Based on iOS

Research on Mobile English Learning System Based on iOS

Relationship between medical students’ perceived instructor role and their approaches to using online learning technologies in a cloud-based virtual classroom

Relationship between medical students’ perceived instructor role and their approaches to using online learning technologies in a cloud-based virtual classroom

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