The Role of Mobile Devices to Improve Student Learning Motivation on Distance Learning

Kusumastuti, Dwi Listriana; Tjhin, Viany Utami; Soraya, Kiky

doi:10.1145/3176653.3176729

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…Aside from that, some students don't have laptops or computers at home. They expressed dislike for using mobile devices to attend classes due to their small screens, which can affect the students' learning experience (Al-Mawee et al,2021;Boling et al, 2012;Kusumastuti et al,2017;Martinez et al,2020;Phahlane & Kekwaletswe, 2013;Zainuddin et al,2012).…”

Section: Technological Factormentioning

confidence: 99%

“…Students with slow internet could watch the recording after class, but this will limit any questions asked by students. In the case of presentations, this could also affect the student's marks (Al-Harbi,2011;Kusumastuti et al, 2017;Martinez et al,2020;Saidi et al,2021;Son et al,2020;Van Der Merwe & Van Heerden,2013;Zainuddin et al, 2012).…”

Section: Environmental Factormentioning

confidence: 99%

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Factors that Contribute to Students’ Attrition in Open and Distance Learning (ODL) Environment: A systematic review

Izham

Uzir

Anuar

et al. 2022

E-BPJ

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This paper presents a systematic literature review of open distance learning (ODL) research that reports empirical findings on the factors that contribute to students' attrition in the ODL setting. Several prior literature reviews identified self-regulated learning as one of the critical factors that may lead to students dropping out. However, there has been much less understanding of the factors and challenges faced by the students in ODL learning and delivery, particularly during the COVID-19 pandemic years. To address this limitation, this study provides a step toward a better understanding of the critical factors contributing to dropout risk, particularly in the ODL environment. Keywords: Open distance learning; Student attrition; COVID-19. eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of AMER (Association of Malaysian Environment-Behavior Researchers), ABRA (Association of Behavioral Researchers on Asians), and cE-Bs (Centre for Environment-Behavior Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI10%20(Special%20Issue).4136

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Section: Technological Factormentioning

confidence: 99%

Section: Environmental Factormentioning

confidence: 99%

Factors that Contribute to Students’ Attrition in Open and Distance Learning (ODL) Environment: A systematic review

Izham

Uzir

Anuar

et al. 2022

E-BPJ

View full text Add to dashboard Cite

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“…Many researchers have explored the use of social media in distance learning (Fourie, 2016;Kalita et al, 2015;van Wyk, 2014). One of the challenges in distance learning is increasing motivation, which has become an important focus of research (Aristeidou, 2021;Kusumastuti et al, 2017;Zaikin et al, 2016). The trend of research in the past three years (2020-2022) has been greatly influenced by the Covid-19 pandemic.…”

Section: Figure 6 Trend Topicsmentioning

confidence: 99%

Research Trends in the Last 3 years Related to Distance Education : A Bibliometric Study

Andriyani

Puspitasari

Chandrawati

et al. 2023

j. paedagog. penelit. pengemb. pendidik.

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This study aims to analyze the research trends related to distance education over the past three years by examining the publication patterns and key topics within the field. This study used a quantitative descriptive research approach with a bibliometric method. Data was collected through the Scopus database with the keyword "Distance learning" by searching for journals based on keywords, article titles, and abstracts with the condition of publications in 2020-2022. The software used in data analysis in this study was the Bibliometrix R-Package, which was part of R-Studio. A total of 1936 articles were found and analyzed. The study results showed that the number of articles related to distance education has been increasing each year, with a growing trend from 2020 to 2022. The study analyzed the top journals, affiliations, and countries publishing articles and identified the most productive authors and relevant affiliations. The trend topics discussed were social media, distance learning, and learning analytics, with new topics emerging in 2021, such as university students, motivation, and Covid-19. Theme classifications were divided into two, connected by blue and red lines. The study also identified future research opportunities using a thematic map.

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“…The development of Internet technology led to the many choices of approaches to learning methods on education [5], one of which is called e-learning. E-learning is a network-based learning model using internet or intranet and its implementation is supported by technologies such as telephone, audio, videotape, satellite transmission or computer peripheral [6]. According to the European Commission, e-learning is a method of learning based on Internet and multimedia technologies to improve the quality of teaching through the provision of access to educational resources and services and enable remote evaluation, information exchange and collaboration between students and lecturers [7].…”

Section: E-learningmentioning

confidence: 99%

Model Artificial Intelligent in E-Learning using Fuzzy Logic (Case Study Sasmoko.Com)

Yossy¹,

Sasmoko²,

Kusumastuti³

et al. 2018

IJET

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The advancement of information technology has been maximally utilized in the world of education, especially in the learning process. One form is e-learning. In its development, e-learning has several problems when faced with the background and needs of students who take part in learning. These differences affect the effectiveness of learning because not all students have the same learning style. To overcome these problems, researchers tried to use fuzzy logic methods. Fuzzy logic is chosen to answer the uncertainty that occurs in learning subjective student characters. Therefore, the study was conducted on one e-learning website called sasmoko.com. The e-learning website is a research method course where students from various backgrounds and needs are used. In this study a model was proposed in assessing student characters on the sasmoko.com website.

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The Role of Mobile Devices to Improve Student Learning Motivation on Distance Learning

Cited by 10 publications

References 10 publications

Factors that Contribute to Students’ Attrition in Open and Distance Learning (ODL) Environment: A systematic review

Factors that Contribute to Students’ Attrition in Open and Distance Learning (ODL) Environment: A systematic review

Research Trends in the Last 3 years Related to Distance Education : A Bibliometric Study

Model Artificial Intelligent in E-Learning using Fuzzy Logic (Case Study Sasmoko.Com)

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