Effective Structure Matching Algorithm for Automatic Assessment of Use-Case Diagram

2020 ◽  
Vol 18 (4) ◽  
pp. 31-50
Author(s):  
Vinay Vachharajani ◽  
Jyoti Pareek
Keyword(s):  
Edit Distance ◽  
Research Literature ◽  
Use Case ◽  
Automatic Assessment ◽  
Tree Edit Distance ◽  
Matching Algorithm ◽  
Qualified Teachers ◽  
E Learning ◽  
Use Case Diagram

The demand for higher education keeps on increasing. The invention of information technology and e-learning have, to a large extent, solved the problem of shortage of skilled and qualified teachers. But there is no guarantee that this will ensure the high quality of learning. In spite of large number of students, though the delivery of learning materials and tests to the students have become very easy by uploading the same on the web, assessment could be tedious. There is a need to develop tools and technologies for fully automated assessment. In this paper, an innovative algorithm has been proposed for matching structures of two use-case diagrams drawn by a student and an expert respectively for automatic assessment of the same. Zhang and Shasha's tree edit distance algorithm has been extended for assessing use-case diagrams. Results from 445 students' answers based on 14 different scenarios are analyzed to evaluate the performance of the proposed algorithm. No comparable study has been reported by any other diagram assessing algorithms in the research literature.

Framework To Approximate Label Matching For Automatic Assessment Of Use-Case Diagram

2019 ◽  
Vol 17 (3) ◽  
pp. 75-95 ◽  
Author(s):  
Vinay Vachharajani ◽  
Jyoti Pareek
Keyword(s):  
Software Engineering ◽  
Research Literature ◽  
Learning Material ◽  
Use Case ◽  
Automatic Assessment ◽  
Free Response ◽  
Qualitative Feedback ◽  
E Learning ◽  
Great Scope ◽  
Use Case Diagram

E-learning plays a significant role in educating large number of students. In the delivery of e-learning material, automatic e-assessment has been applied only to some extent in the case of free response answers in highly technical diagrams in domains like software engineering, electronics, etc., where there is a great scope of imagination and wide variations in answers. Therefore, the automatic assessment of diagrammatic answers is a challenging task. In this article, algorithms that compute the syntactic and semantic similarities of nodes to fulfill the objective of automatic assessment of use-case diagrams are described. To illustrate the performance of these algorithms, students' use-case diagrams are matched with model use-case diagram. Results from 13,749 labels of 445 student answers based on 14 different scenarios are analyzed to provide quantitative and qualitative feedback. No comparable study has been reported by any other label matching algorithms before in the research literature.

scholarly journals Design and Development of an e-Learning Project Management System: Modelling and Prototyping

2020 ◽  
Vol 15 (19) ◽  
pp. 95
Author(s):  
Maha Khaldi ◽  
Mohamed Erradi
Keyword(s):  
Project Management ◽  
Management System ◽  
System Modelling ◽  
Use Case ◽  
Design And Development ◽  
Activity Diagram ◽  
Project Management System ◽  
Static Modeling ◽  
E Learning ◽  
Use Case Diagram

In this work, based on the results obtained concerning the analysis and the needs of our project which concerns the design and development of an e-Learning project management system, we present the modeling stage with UML. Based on one hand, on two diagrams: class diagram and use case diagram, for static modeling and on the other hand, based on three diagrams: activity diagram, sequence diagram, diagram transition state for dynamic modeling. Finally, we offer examples of models for our project.

XML SCHEMA MATCHING

2007 ◽  
Vol 17 (05) ◽  
pp. 575-597 ◽  
Author(s):  
JIANGUO LU ◽  
JU WANG ◽  
SHENGRUI WANG
Keyword(s):  
Data Integration ◽  
Software Reuse ◽  
Edit Distance ◽  
Xml Schema ◽  
Schema Matching ◽  
Schema Evolution ◽  
Tree Edit Distance ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Unordered Trees

XML Schema matching problem can be formulated as follows: given two XML Schemas, find the best mapping between the elements and attributes of the schemas, and the overall similarity between them. XML Schema matching is an important problem in data integration, schema evolution, and software reuse. This paper describes a matching system that can find accurate matches and scales to large XML Schemas with hundreds of nodes. In our system, XML Schemas are modeled as labeled and unordered trees, and the schema matching problem is turned into a tree matching problem. We proposed Approximate Common Structures in trees, and developed a tree matching algorithm based on this concept. Compared with the traditional tree edit-distance algorithm and other schema matching systems, our algorithm is faster and more suitable for large XML Schema matching.

scholarly journals Pengembanagn Model E-Learning Adaptif untuk Materi Pembelajaran Jaringan Komputer pada Amik Almuslim

2020 ◽  
Vol 5 (2) ◽  
pp. 110-120
Author(s):  
Amat Damuri
Keyword(s):  
Use Case ◽  
Functional Testing ◽  
Modelling Language ◽  
Activity Diagram ◽  
Adaptive Style ◽  
Page Model ◽  
E Learning ◽  
Use Case Diagram

Abstrak: Perkembangan teknologi e-learning sudah sangat pesat, hal ini ditandai dengan  munculnya sejumlah perangkat lunak seperti: moodle, Atutor, LRN, Dukeos dan lain sebagainya, disisi lain adanya keterbatasan e-learning dapat menghambat kemajuan proses pembelajaran, dimana hambatan yang muncul adalah dalam mengoperasionalkan proses pembelajaran dan proses kognitif mahasiswa. Sistem e-learning adaptif dikembangkan atas asumsi bahwa model pembelajaran individual mampu memberikan hasil yang lebih baik dari pada model pembelajaran lainnya.  Digunakan Jaringan Bayesian dalam menentukan model pengguna dan dipilih Model Gaya Belajar Dunn & Dunn untuk menentukan ke-adaptif-an sebuah e-learning. Dalam pengembangan aplikasi digunakan model pengembangan perangkat lunak sequencial linear, tahap analisa digunakan Unifed Modelling Language (UML), seperti : Use Case Diagram, Activity Diagram dan Deployment Diagram, sedangkan tahap pemberian kodenya menggunakan PHP. Penentuan model pengguna dengan Jaringan Bayesian ditetapkan 4 parameter, yaitu : Persepsi kemudahan penggunaan (C1), Motivasi (C2), Sikap dalam penggunaan (C3) dan Penerimaan terhadap e-learning (C4). Hasil dari perhitungan terhadap paramater-parameter ini mengarah ke model gaya belajar Dunn & Dunn yang mendasarkan kepada kesamaan fungsionalnya. Hasil dari analisa dihasilkan 9 page dalam mendukung tercapainya e-learning adaptif ini, dimana ada 3 page utama, yaitu : page model perkuliahan berbasis teks, page model perkuliahan berbasis visual & suara dan page model perkuliahan berbasis image & teks yang dapat menjadi pilihan mahasiswa dalam belajar. Pengujian untuk sistem ini dilakukan dengan menggunakan Blackbox Testing bertipe Functional Testing.  Penelitian ini telah berhasil memodelkan e-learning adaptif dengan menentukan model pengguna menggunakan Jaringan Bayesian dan model Dunn & Dunn untuk model gaya belajar mahasiswa. Pengembangan e-learning adaptif ini perlu dilakukan penelitian lebih lanjut dengan berbagai model gaya belajar seperti : Felder Silverman atau Kolb. Kata kunci: e-learning adaptive, style learning.

scholarly journals Naturalistic Inquiry in E-Learning Research

2005 ◽  
Vol 4 (1) ◽  
pp. 13-26 ◽  
Author(s):  
Shirley Agostinho
Keyword(s):  
Qualitative Research ◽  
Research Study ◽  
Research Literature ◽  
Qualitative Inquiry ◽  
Research Approach ◽  
Naturalistic Inquiry ◽  
Rigorous Research ◽  
E Learning ◽  
Learning Research

In this article, the author explains how and why one particular qualitative research approach, the naturalistic inquiry paradigm, was implemented in an e-learning research study that investigated the use of the World Wide Web technology in higher education. A framework is presented that situates the research study within the qualitative research literature. The author then justifies how the study was compliant with naturalistic inquiry and concludes by presenting a model for judging the quality of such research. The purpose of this article is to provide an example of how naturalistic inquiry can be implemented in e-learning research that can serve as a guide for researchers undertaking this form of qualitative inquiry. As such, the focus of the article is to illustrate how methodological issues pertaining to naturalistic inquiry were addressed and justified to represent a rigorous research approach rather than presenting the results of the research study.

scholarly journals ANALISA DAN PERANCANGAN E-LEARNING PEMBELAJARAN GRAMMER UNTUK MENINGKATKAN POTENSI SISWA

2014 ◽  
Vol 5 (1) ◽  
pp. 67
Author(s):  
Diana Laily Fithri
Keyword(s):  
Sequence Diagram ◽  
Class Diagram ◽  
Use Case ◽  
E Learning ◽  
Waterfall Model ◽  
Use Case Diagram

ABSTRAK E-learning pembelajaran perangkat lunak menggunakan model Linear Sequential/ Waterfall Model digunakan untuk mempermudah dalam mempelajari grammer bahasa inggris. Model ini merupakan model klasik yang bersifat sistematis, berurutan dalam membangun software. Didalam desain sistem dan perangkat lunak terdiri dari desain use case diagram, class diagram, sequence diagram dan perancangan menggunakan desain input dan output. E-learning Bahasa Inggris yang mampu meningkatkan kemampuan kognitif siswa adalah elerning yang mempunyai tingkat interaktifitas pengguna tinggi, yang selain menyajikan materi pembelajaran dalam bentuk file baik itu dalam format words, powerpoint, html atau PDF tapi elearning tersebut juga mempunyai nilai lebih menu yang lebih bersifat interaktif. Kata kunci: E-Learning, Interaktif, Pembelajaran.

scholarly journals Aplikasi E-Learning untuk Bimbingan Belajar KUMON

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Wendy Denata ◽  
Honni Honni
Keyword(s):  
Class Diagram ◽  
Use Case ◽  
Activity Diagram ◽  
E Learning ◽  
Use Case Diagram

<p>Berdasarkan hasil analisa, ditemukan bahwa proses belajar pada PT. Mercantile Deodate saat ini masih belum terorganisir dengan baik, sehingga dirancanglah sebuah aplikasi bimbingan belajar yang dapat membantu proses pembelajaran, penyampaian informasi serta pengerjaan kuis secara <em>online</em> agar lebih membantu para murid, guru, dan orang tua dalam proses belajar mengajar. Tujuan penelitian ini adalah untuk merancang aplikasi pembelajaran, pengerjaan kuis, dan pemberian informasi perkembangan secara <em>online</em> berbasis aplikasi <em>web</em> pada PT.Mercantile Deodate agar mempermudah murid dan orang tua untuk melakukan proses belajar saat berada di bimbingan belajar serta memberikan informasi perkembangan murid. Metode penelitian yang digunakan dalam penyusunan skripsi ini adalah metode pengumpulan data melalui studi pustaka. Sedangkan metode perancangan yang digunakan adalah metode berorientasi objek yang mencakup <em>use case diagram</em>, <em>activity diagram</em> dan <em>class diagram</em>. Dengan adanya aplikasi bimbingan belajar ini dapat mempermudah proses pemberian materi pembelajaran, kuis, dan informasi perkembangan, terutama Matematika dan Bahasa Inggris lebih maksimal.<strong></strong></p>

scholarly journals PERANCANGAN ANTARMUKA ONLINE COURSE PADA PERANGKAT MOBILE MENGGUNAKAN TEORI USABILITY

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Elia Zakharia ◽  
Djoko Budiyanto Setyohadi ◽  
Y. Sigit Purnomo W. P.
Keyword(s):  
Design Process ◽  
Undergraduate Students ◽  
Mobile Device ◽  
Interface Design ◽  
Learning Model ◽  
Online Course ◽  
Use Case ◽  
Initial State ◽  
E Learning ◽  
Use Case Diagram

E-learning model can be developed into various forms according to the context of development. All of e-learning model aims to support learning process. The main objective of this study was to design online course interface that runs in mobile device using the theory of usability ISO 9241-11 in UAJY (Universitas Atma Jaya Yogyakarta). Data was collected from 55 undergraduate students of UAJY. It is used as initial state in design process. Furthermore, online course interface design created with use case diagram that adapted to activities of HTA. Nevertheless, in the design process components of interface created by the user persona and mobile device pattern, as well as guided by MGQM, which is also adapted to the limitations of this study and the conditions in UAJY. In addition, using log data collection to handle part of MGQM, which related with time, steps, resources.

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