Teachers' Challenges and Needs in E-Learning Environment

Karjo, Clara Herlina; Andreani, Wiwik; Herawati, Agnes; Ying, Yao; Yasyfin, Andi Putri; Marie, Krystl

doi:10.1109/isemantic52711.2021.9573242

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…These results suggest that teachers still need to have traditional face-to-face classroom meeting. The outcome is similar to our previous research with the participants from the same university [28]. Thus, the need for blended learning model is deemed necessary as full online learning is not favourably chosen.…”

Section: Discussionsupporting

confidence: 83%

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Affordances of E-Learning in Indonesian Higher Education Institutions

Karjo¹,

Andreani²

2023

Advances in Social Science, Education and Humanities Research

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E-learning has become indispensable since the Covid-19 outbreak in March 2020. The sudden change of learning model might not have been anticipated by many educational institutions, causing a few confusions on how to conduct e-learning properly, especially in providing an e-learning management system (LMS). This study aims to examine the affordances of higher education institutions (universities) in Indonesia in conducting the e-learning during the pandemic. We conducted an online survey towards 100 university lecturers from several universities in Indonesia to ask about the implementation of e-learning in their respective institutions. The questions include the e-LMS used, the preferred learning model, and the challenges for implementation. The results revealed that 79% of the participants used a specially built LMS in their universities, while the rest still used commercially build LMS like Moodle. Then, 82% of the participants prefer blended learning model which combined face to face and e-learning models, and 46% of them wanted to have a fifty-fifty division between face to face and e-learning. As for the challenges, no interaction with students was deemed as the most disturbing challenge for the lectures. The results imply that e-learning will continue to be implemented in Indonesia, regardless of the condition of the pandemic. Thus, universities should provide an e-LMS that can cater all the elearning needs, while lecturers should also equip themselves with pedagogical as well as technological skills to face the e-learning challenges.

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Section: Discussionsupporting

confidence: 83%

“…The first one is the internet connection. In developing countries such as in Indonesia and India, internet is still major problem, since not all regions within the country can enjoy similar connectivity [18,28]. Until now, internet connection and computer facilities are still unsolved problem in many formal education institutions [33].…”

Section: Discussionmentioning

confidence: 99%

Affordances of E-Learning in Indonesian Higher Education Institutions

Karjo¹,

Andreani²

2023

Advances in Social Science, Education and Humanities Research

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“…In addition, problems in learning Mandarin also include time constraints, which in this case include the length of study and frequency (Ying et al, 2017). Other constraints include challenges in the form of internet, connectivity, teacher-student interaction, and teacher efficiency (Karjo et al, 2021). Like other language skills, speaking also has a direct relationship with the ability to understand vocabulary (Robihim, 2008), so by understanding the vocabulary learned on the FlipGrid platform, media can also be an additional vocabulary for students in developing their speaking skills.…”

Section: (Xuéhǎo Yī Mén Yǔyán Xūyào____________ Zhèyàng Cáinéng Xuéhǎo)mentioning

confidence: 99%

Using FlipGrid to Improve Memory Ability in Learning Foreign Languages

Chandra

2023

Lingua Cultura

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The research showed that online media was expected to provide a more straightforward understanding to students in learning Mandarin, one of which was FlipGrid online learning media. Learning Mandarin was quite challenging if it was only done by using textbooks. This could be shown by the lack of students’ memory of the vocabulary they had just learned. The data were analyzed with a quantitative approach involving 110 students aged 13 to 14. The data was collected of students’ vocabulary study after two months of using three test questions: filling in the blanks, guessing the meaning, and completing sentences. Thus, it can be concluded that understanding the vocabulary learned on the FlipGrid platform media can also be an additional vocabulary for students in developing speaking skills. The results reveal that the teacher’s participation in monitoring the completion of students’ assignments also plays a vital role in developing students’ speaking skills, which means that the frequency of using FlipGrid directly impacts students’ memory skills. However, when faced with critical thinking test questions, students themselves must be able to think out of the box and not only based on what they have learned from FlipGrid online. That means the research implies a need for a more innovative instructional design for language learning to improve better students’ memorization to learn Mandarin.

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“…Predicting college students' learning requirements is an important research aspect in the mobile education management field [1][2][3][4][5][6]. Because mobile learning is a personalized and continuous training method which is free from the limitations of time and space, so it's particularly important to make accurate predictions and good plans for college students' requirements for mobile learning [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Information Dissemination Prediction of College Students’ Learning Requirements Based on Mobile Social Network

Tong¹,

Chen²

2023

Int. J. Emerg. Technol. Learn.

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Starting point of this research is the information dissemination and fluctuation of the learning requirements of college students between the student individuals and the mobile learning platforms, to solve this problem, it’s of certain practical value to explore the information dissemination efficiency of college students’ learning requirements under different conditions and study the prediction accuracy optimization method. However, existing studies generally focus on the feasibility of applying existing methods to the prediction of college students’ learning requirements, but the research on such prediction is neither sufficient nor deep enough. This paper constructed a model of college students’ mobile social network based on the actual data of college students’ mobile social behaviors, and innovatively proposed a novel algorithm for predicting college students’ requirements for mobile learning. At last, experimental results verified the effectiveness of the constructed model and the proposed algorithm.

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Teachers' Challenges and Needs in E-Learning Environment

Cited by 5 publications

References 10 publications

Affordances of E-Learning in Indonesian Higher Education Institutions

Affordances of E-Learning in Indonesian Higher Education Institutions

Using FlipGrid to Improve Memory Ability in Learning Foreign Languages

Information Dissemination Prediction of College Students’ Learning Requirements Based on Mobile Social Network

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