A Web-Based Aircraft Maintenance Learning Media to Support Learning Process in Aerospace Engineering Education during the COVID-19 Pandemic

Ayuningtyas, Astika; Honggowibowo, Anton Setiawan; Mulyani, Sri; Priadana, Adri

doi:10.1109/econf51404.2020.9385520

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…Berdasarkan hasil pengujian perbandingan sistem dapat disimpulkan bahwa media pembelajaran identifikasi kerusakan mesin pesawat ini dapat menghasilkan solusi yang sesuai dengan kondisi yang tepat. Media ini juga mendukung pembelajaran online karena media berbasis web dapat mengakses internet kapan saja dan dimana saja [4] Forward Chaining adalah model komputasi bottom-up. Forward Chaining bekerja dengan seperangkat fakta yang diketahui dan menerapkan aturan untuk menghasilkan fakta baru yang premisnya cocok dengan fakta yang diketahui, dan berlanjut hingga mencapai tujuan yang telah ditentukan, atau sampai tidak ada fakta lebih lanjut yang dapat diturunkan yang premisnya cocok dengan fakta yang diketahui [5].…”

Section: Pendahuluanunclassified

Tingkat Pemahaman Mahasiswa antar Pembelajaran Online dan Offline dalam masa pandemi Covid-19 menggunakan metode Forward Chaining

Sitanggang

2022

jidt

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Advances in science and technology have changed this world. One of the data technologies that function in the world of learning during the COVID-19 pandemic is online education. Online education is used as a liaison between lecturers and students in an internet network that is accessed anytime. However, student learning outcomes in online and offline learning have not shown maximum results. Various obstacles arise that affect student learning outcomes online and offline during the COVID-19 pandemic. This study aims to predict the level of student understanding in online and offline learning. So that it can also help Pelita Indonesia universities to take the right policies to improve the quality of learning in the future. To solve the various problems above, an expert system is needed to predict. In the expert system used is the forward chaining method. The forward chaining method is a method that performs forward tracking, starting from a collection of facts and ending at a conclusion. So that the accuracy value is obtained. With the results of the accuracy test, it determines the level of understanding between online and offline learning.

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Section: Pendahuluanunclassified

Tingkat Pemahaman Mahasiswa antar Pembelajaran Online dan Offline dalam masa pandemi Covid-19 menggunakan metode Forward Chaining

Sitanggang

2022

jidt

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“…Far from being a problem, shifting from face-to-face activities to remote or hybrid learning contexts was perceived as an opportunity to review the course activities and begin to steer them toward skills-based tasks and assessments. This opportunity was also seen elsewhere, as done by Ayuningtyas et al (2020). Hence, the second open-response test was replaced by a written assignment that would force students to train and develop the ability to understand and apply continuing airworthiness regulations.…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Towards skill-based evaluation in a hybrid learning context: an experience in Aircraft Maintenance

Carreres

Garcia

Gómez-Soriano

et al. 2023

Mult.J.Edu.Soc.Tec.Sci.

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COVID-19 forced Higher Education to take place virtually. The evaluation process was particularly sensitive, mainly if it involved written tests. Still, it posed an opportunity to revise learning activities and evaluations. The Aircraft Maintenance course at UPV was driven from a content-based evaluation toward a skill-based one, replacing an open-answer test with a thorough assignment. Student grades and surveys motivated the perpetuation of the activity once students were back in a classroom.

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“…Even today, question and answer sites have developed into one of the components of educational resources that appear to support the student learning process [3], [4] which students can use to find and share academic information. Moreover, the question and answer sites are web-based to be accessed by students online to support the online learning process, especially during the current COVID-19 pandemic [5].…”

Section: Introductionmentioning

confidence: 99%

A Comparison of K-Means and Agglomerative Clustering for Users Segmentation based on Question Answerer Reputation in Brainly Platform

Cahyo

Sudarmana²

2022

ELINVO

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Brainly is a question and answer (QA) site that students can use as a media for questions and answers. Students can also use Brainly to find and share educational information that helps students solve their homework problems. In Brainly, users can answer questions according to their interests. However, it could be that the interest is not necessarily following the competencies possessed. It causes many answers to the questions given not to have a high rating because the answers given are of low quality to be prioritized as the main answer. This study aims to apply the K-Means and Agglomerative Clustering methods to segment users based on the reputation of the answerers by conducting clustering based on track records in answering questions on mathematics subjects. This study used the number of the brightest scores and the number of answers that did not get a rating as the basic features for clustering. The comparison between the two methods used is based on the Silhouette Score, representing the quality of the clustering results, calculated by applying the Silhouette Coefficient method. This study result indicates that the K-Means method gives better results than the Agglomerative Clustering. The Silhouette Score generated by the K-Means method is higher at 0.9081 than the Agglomerative Clustering method, which is 0.8990, which produces two clusters or two segments.

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A Web-Based Aircraft Maintenance Learning Media to Support Learning Process in Aerospace Engineering Education during the COVID-19 Pandemic

Cited by 6 publications

References 19 publications

Tingkat Pemahaman Mahasiswa antar Pembelajaran Online dan Offline dalam masa pandemi Covid-19 menggunakan metode Forward Chaining

Tingkat Pemahaman Mahasiswa antar Pembelajaran Online dan Offline dalam masa pandemi Covid-19 menggunakan metode Forward Chaining

Towards skill-based evaluation in a hybrid learning context: an experience in Aircraft Maintenance

A Comparison of K-Means and Agglomerative Clustering for Users Segmentation based on Question Answerer Reputation in Brainly Platform

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