Comparison Between Conventional and Digital Essay Writing Assessment System: Consumer Concept and User Friendly

Ayob, Adenan

doi:10.5430/rwe.v10n2p96

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…Semakin besar nilai relevansi, semakin mirip/relevan kueri dan dokumen tersebut. Ukuran similarity digunakan untuk menentukan tingkat similarity antara titik data [13]. Selain itu, ukuran ini digunakan untuk mengukur kesamaan antara himpunan berdasarkan irisan kedua himpunan tersebut.…”

Section: Cosine Similarityunclassified

Penerapan Algoritma TF-IDF dan Cosine Similarity untuk Query Pencarian Pada Dataset Destinasi Wisata

Al Rasyid,

Ningsih

2024

jtik

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This research aims to improve the search for tourist destinations in 50 datasets by using search queries to find relevant documents. By optimizing the search process, the goal is to create an accurate list of tourist destinations based on a given query. To achieve this, researchers used the TF-IDF and Cosine Similarity algorithms to retrieve and compare information, measuring similarity scores between search queries and tourist destinations in the dataset. Finally, the list of tourist destinations is ranked based on the similarity score measurement. The methods used are TF-IDF and Cosine Similarity. The fifty datasets containing text content documents were normalized through pre-processing stages, namely Case Folding, Stopword Removal, and Tokenization. Documents that have been normalized are then processed again through TF-IDF weighting. TF-IDF weighting is also applied to search queries. The similarity calculation between the TF-IDF vector from the document and the TF-IDF vector from the search query is carried out using Cosine Similarity to obtain a similarity score for each document based on the search query. Testing was carried out on 5 different queries, and precision testing results were obtained with an average value of 83%

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Section: Cosine Similarityunclassified

Penerapan Algoritma TF-IDF dan Cosine Similarity untuk Query Pencarian Pada Dataset Destinasi Wisata

Al Rasyid,

Ningsih

2024

jtik

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“…According to Patidar et al [27], size similarity (similarity measure) is the distance between various data points. Similarity measure is also used to measure the similarity between sets based on the intersection of two sets.…”

Section: Measure the Similarity Between Sentences With Cosine Similaritymentioning

confidence: 99%

Automatic Scoring Using Term Frequency Inverse Document Frequency Document Frequency and Cosine Similarity

Yulita

Untoro

Praseptiawan

et al. 2023

SJI

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Purpose: In the learning process, most of the tests to assess learning achievement have been carried out by providing questions in the form of short answers or essay questions. The variety of answers given by students makes a teacher have to focus on reading them. This scoring process is difficult to guarantee quality if done manually. In addition, each class is taught by a different teacher, which can lead to unequal grades obtained by students due to the influence of differences in teacher experience. Therefore the purpose of this study is to develop an assessment of the answers. Automated short answer scoring is designed to automatically grade and evaluate students' answers based on a series of trained answer documents.Methods: This is ‘how’ you did it. Let readers know exactly what you did to reach your results. For example, did you undertake interviews? Did you carry out an experiment in the lab? What tools, methods, protocols or datasets did you use The method used is TF-IDF-DF and Similarity and scoring computation. Theword weight used is the term Frequency-Inverse Documents Frequency -Document Frequency (TF-IDF-DF) method. The data used is 5 questions with each question answered by 30 students, while the students' answers are assessed by teachers/experts to determine the real score. The study was evaluated by Mean Absolute Error (MAE).Result: The evaluation results obtained Mean Absolute Error (MAE) with a resulting value of 0.123.Value: The word weighting method used is the Term Frequency Inverse Document Frequency DocumentFrequency (TF-IDF-DF) which is an improvement over the Term Frequency Inverse Document Frequency (TF-IDF) method. This method is a method of weighting words that will be applied before calculating the similarity of sentences between teachers and students.

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“…In this regard, teachers and students need to be skilled in applying interactive multimedia as a vehicle in mastering writing skills more flexibly and independently in accessing knowledge. Hence, computers as interactive multimedia graphics medium can assist in improving writing achievement through student-centred systematic graphic material (Ayob, 2019a;2019b).…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the most critical skill from the aspect of writing is language achievement. This skill refers to the ability of students to write meaningful words and sentences in expressing ideas through various creative and critical writing (Ayob, 2019a). Writing is related to knowledge and personal experience which can be portrayed through the correct usage of grammatical sentences, punctuation, correct spelling, clear and neat writing (Hajimia et al, 2019a;2019b;Hajimia, 2020).…”

Section: Introductionmentioning

confidence: 99%

The Measurement of Validity, Stability and Consistency in Essay Writing Structuring Techniques Based on Interactive Multimedia Graphic: A Case-Study in Malaysia

2022

JHETP

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In this modern era, the essay writing techniques are required to be aligned with the sustainability in acquiring information through digital and virtual materials. In getting research results, which are innovative, creative, and critical, this research was conducted to measure the validity, stability, and consistency of essay writing structuring techniques by using the interactive multimedia graphic materials. A quasi-experimental method is used based on the quantitative research design. The sample consists of 30 secondary school students in Shah Alam, Selangor. The data were analyzed descriptively through mean and standard deviation. The data were also tested by inference using ANCOVA statistics. The results showed a significant difference, that is, F=13.3, at the level of <0.05. The implication of this research is that the knowledge of the interactive multimedia graphic material is essential to the technical structure in essay writing especially when involving the writing skills element, namely in the Learning and Facilitation (PdPc) of Malay language.

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Comparison Between Conventional and Digital Essay Writing Assessment System: Consumer Concept and User Friendly

Cited by 4 publications

References 10 publications

Penerapan Algoritma TF-IDF dan Cosine Similarity untuk Query Pencarian Pada Dataset Destinasi Wisata

Penerapan Algoritma TF-IDF dan Cosine Similarity untuk Query Pencarian Pada Dataset Destinasi Wisata

Automatic Scoring Using Term Frequency Inverse Document Frequency Document Frequency and Cosine Similarity

The Measurement of Validity, Stability and Consistency in Essay Writing Structuring Techniques Based on Interactive Multimedia Graphic: A Case-Study in Malaysia

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