Can COVID-19 pandemic influence experience response in mobile learning?

Yuan, Yunpeng; Tan, Garry Wei–Han; Ooi, Keng‐Boon; Lim, WeiLee

doi:10.1016/j.tele.2021.101676

Cited by 84 publications

(67 citation statements)

References 74 publications

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“…The usage and effects of mobile learning have been extensively addressed, by researchers in the educational theoretical aspect, such as in a technologyacceptance model and in a mobile-technology acceptance model (Moya & Camacho, 2021;Yuan, et al, 2021). The question arises about pedagogy that has stood out in digital literacy, while the technological resources category has had the least-relevant assessment by researchers (Moya & Camacho, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…The question arises about pedagogy that has stood out in digital literacy, while the technological resources category has had the least-relevant assessment by researchers (Moya & Camacho, 2021). Indeed, interactions seem to be a major challenge experienced by students ; since they hinder the effectiveness of mobile learning (Yuan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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A Visual Pattern of Two Decades of Literature on Mobile Learning: A Bibliometric Analysis

Osman

Napeah

2021

IJLTER

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Mobile learning, or m-Learning, has grown in popularity significantly over the last few decades, as evidence of educators and students worldwide using the device as a teaching and learning tool continues to accumulate. The pattern of mobile-learning research from 2001 to 2020 is determined by bibliometric analysis. The study retrieved 3,874 documents for further analysis, based on the keywords associated with mobile learning in the article’s title. The maps depicted the connections between the researchers, countries, all keywords, titles, and abstracts. The title and abstract of this study are used to visualise the co-occurring terms of various phases or concepts associated with mobile learning that were extracted from the Scopus database. The findings indicate strong and direct connections between the concepts in e-learning, implying a significant and direct research connection. China was the leading country in mobile-learning research, and the leading journal was Computers and Education. The top author’s keywords in terms of co-occurrence were "mobile learning", "e-learning", "students", "learning systems", and "m-learning". To conduct a two-decade analysis, this study excludes any publications from the years 1984 and 2021. These critical analyses of prior work are valuable and indispensable resources for mobile-learning scholars and practitioners. It is believed that online-learning applications have increased students’ engagement; and it has eliminated the accessibility gap. Consequently, mobile learning is expected to maintain its popularity over the next few decades.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Visual Pattern of Two Decades of Literature on Mobile Learning: A Bibliometric Analysis

Osman

Napeah

2021

IJLTER

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“…As future research, it is necessary to apply parallel processing algorithms and genetic neural networks for analyzing data from the ministries of health, airports, and social networks in each country [40]. With these algorithms, the mobility of passengers can be better determined, and a passengers' status and future location could be predicted with higher precision.…”

Section: Discussionmentioning

confidence: 99%

Algorithm for Preventing the Spread of COVID-19 in Airports and Air Routes by Applying Fuzzy Logic and a Markov Chain

Guevara

Bonilla

2021

Mathematics

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Since the start of COVID-19 and its growth into an uncontrollable pandemic, the spread of diseases through airports has become a serious health problem around the world. This study presents an algorithm to determine the risk of spread in airports and air routes. Graphs are applied to model the air transport network and Dijkstra’s algorithm is used for generating routes. Fuzzy logic is applied to evaluate multiple demographics, health, and transport variables and identify the level of spread in each airport. The algorithm applies a Markov chain to determine the probability of the arrival of an infected passenger with the COVID-19 virus to an airport in any country in the world. The results show the optimal performance of the proposed algorithm. In addition, some data are presented that allow for the application of actions in health and mobility policies to prevent the spread of infectious diseases.

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“…It has been almost two years since the pandemic occurred in 2019; during that time, many parties are trying to develop an effective learning model used in these conditions. Mouratidis dan Papagiannakis (2021) and Yuan et al (2021) explain that distance learning with learning schemes integrated with traditional media and gamification is very effectively used in these situations. Other studies had shown that effective learning during pandemics could only be achieved when classroom activities can virtually be built through collaboration between students and their parents with the control and guidelines of their teachers (Aldridge & McQuagge, 2021;Whillans et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Teachers' Perception and Readiness Towards Adaptive Learning in the COVID-19 Pandemic: Thematical Content Analysis Study

Ramdani

Kembara²,

Alhapip³

et al. 2021

AIJP

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Technological advances and life dynamics that are changing so fast and so volatile become challenges for teachers to implement their best learning model at every level of education. The study aims to explore the perception and readiness of teachers in conducting adaptive learning in pandemic times. A qualitative research method with thematic content analysis models was used to answer these objectives. A total of 327 respondents who worked as teachers were involved in filling out online questionnaires, and the selection of respondents was carried out with purposive sampling techniques. The results show a diverse perception of respondents regarding changes that occurred in the learning process, and the perception of those changes must be faced with readiness and adaptive. Teachers' readiness could be seen from their strategies that were quite effective in dealing with existing changes. These results also emphasize that respondents realized that face-to-face learning was still considered adaptive learning for them to deliver the material. Meanwhile, teachers felt that an adaptive learning guide was needed to guide the learning process when the change occurred. This study provides a clear picture of the learning concepts needed now and is an early indicator informing adaptive learning guidebooks.

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Can COVID-19 pandemic influence experience response in mobile learning?

Cited by 84 publications

References 74 publications

A Visual Pattern of Two Decades of Literature on Mobile Learning: A Bibliometric Analysis

A Visual Pattern of Two Decades of Literature on Mobile Learning: A Bibliometric Analysis

Algorithm for Preventing the Spread of COVID-19 in Airports and Air Routes by Applying Fuzzy Logic and a Markov Chain

Teachers' Perception and Readiness Towards Adaptive Learning in the COVID-19 Pandemic: Thematical Content Analysis Study

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