Automated Generation of Course Improvement Plans Using Expert System

2017 ◽  
Vol 6 (1) ◽  
pp. 1-12
Author(s):  
Muhammad Hasan Imam ◽  
Imran Ali Tasadduq ◽  
Abdul-Rahim Ahmad ◽  
Fahd Aldosari ◽  
Haris Khan
Keyword(s):  
Expert System ◽  
Data Base ◽  
Continuous Improvement ◽  
Assessment Tools ◽  
Target Level ◽  
Web Based ◽  
Automated Generation ◽  
Improvement Plan ◽  
Improvement Criterion ◽  
Cloud Implementation

To satisfy ABET's continuous improvement criterion, an instructor, teaching a course suggests, at the end of the course, an improvement plan to be implemented when the same course is taught next time. Preparation of such a course improvement plan may be mandatory if a pre-specified target level of students' learning is not attained. Since, manual preparation of a course improvement plan is difficult, an idea of generating it using an expert system is presented. The objective is to make the task of improvement plan preparation easier and enjoyable. The proposed expert system has a set of remedies and a set of rules in a data base. A web-based interface queries the instructor about teaching and assessment tools used in the course. The inference engine selects the most appropriate remedy based on instructor's preferences. A cloud implementation of the expert system has been used to test it for a course.

Automated Generation of Course Improvement Plans Using Expert System

2018 ◽  
pp. 1232-1243
Author(s):  
Muhammad Hasan Imam ◽  
Imran Ali Tasadduq ◽  
Abdul-Rahim Ahmad ◽  
Fahd Aldosari ◽  
Haris Khan
Keyword(s):  
Expert System ◽  
Continuous Improvement ◽  
Inference Engine ◽  
Assessment Tools ◽  
Target Level ◽  
Web Based ◽  
Automated Generation ◽  
Improvement Plan ◽  
Improvement Criterion ◽  
Cloud Implementation

To satisfy ABET's continuous improvement criterion, an instructor, teaching a course suggests, at the end of the course, an improvement plan to be implemented when the same course is taught next time. Preparation of such a course improvement plan may be mandatory if a pre-specified target level of students' learning is not attained. Since, manual preparation of a course improvement plan is difficult, an idea of generating it using an expert system is presented. The objective is to make the task of improvement plan preparation easier and enjoyable. The proposed expert system has a set of remedies and a set of rules in a data base. A web-based interface queries the instructor about teaching and assessment tools used in the course. The inference engine selects the most appropriate remedy based on instructor's preferences. A cloud implementation of the expert system has been used to test it for a course.

scholarly journals ASSESSMENT DESIGN THROUGH AN EXPERT SYSTEM AND ITS APPLICATION TO A COURSE OF HYDRAULICS

2017 ◽  
Author(s):  
Muhammad H. Imam ◽  
Imran A. Tasadduq ◽  
Muhammad H. Khan ◽  
Abdul-Rahim Ahmad ◽  
Fahd Aldosari
Keyword(s):  
Expert System ◽  
Learning Outcomes ◽  
Sql Server ◽  
Web Based ◽  
Assessment Design ◽  
Manual Selection ◽  
Cloud Implementation ◽  
Single Question ◽  
The Web ◽  
Selection Of

An assessment consists of questions addressing the required learning outcomes of a course. If a pool of questions of various types is made available then assessment design reduces to selection of questions, one by one, from the pool. Since the number of possible questions for a course may be quite large, and several preferences have to be matched, manual selection of a suitable question is not possible. This paper presents an enhanced implementation of a previously presented idea of a methodology for assessment design with an application to a course of Hydraulics with an initial pool of 1,000 questions. Each question is tagged with a set of attributes. The rules are generated by the expert system itself. The idea of a score of relevance has been introduced. The enhanced implementation displays a set of questions with their relevance scores rather than a single question to let the instructor choose from them. An instance of MS SQL Server at Azure database is used for the web-based cloud implementation.

A web-based expert system for the planning and completion of multilateral wells

2005 ◽  
Vol 49 (3-4) ◽  
pp. 162-181 ◽  
Author(s):  
Ali A. Garrouch ◽  
Haitham M.S. Lababidi ◽  
Abdullah S. Ebrahim
Keyword(s):  
Expert System ◽  
Web Based

scholarly journals Development of a Web Based Expert System for Rubber Crop Disease Diagnosis and Management

2018 ◽  
Vol 10 (3) ◽  
pp. 239-248
Author(s):  
S. Konyeha ◽  
F. A. Imouokhome
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Field Extension ◽  
Rule Base ◽  
Destructive Effect ◽  
Web Based ◽  
Procedural Code ◽  
Base Engine ◽  
Crop Disease ◽  
User Friendly

An expert system imitates the decision–making adeptness of a human expert. They are intended to answer complicated questions characterized mainly as if–then rules instead of traditional procedural code. A major problem facing the cultivation of rubber (Hevea brasiliensis) in developing countries is the destructive effect of pathogens which result in about fifty percent (50%) loss in crop yield. This problem persists, due to a communication gap between agricultural researchers, such that field extension officers, and farmers are hampered by various operational and logistic challenges. This paper is an effort to bridge this gap, and hence features an expert system that can be accessed online by farmers.  The expert system allows farmers to select disease symptoms presented in categories from a JAVA based user friendly graphical interface. The output generated by the rule–base engine, diagnoses the diseases of the rubber crop, and suggests curative and preventive measures. The main source of information for developing the expert system’ knowledge–base was the Rubber Research Institute, Iyanomo, Edo State, Nigeria.

scholarly journals Comparison of a web-based food record tool and a food-frequency questionnaire and objective validation using the doubly labelled water technique in a Swedish middle-aged population

2016 ◽  
Vol 5 ◽  
Author(s):  
Sanna Nybacka ◽  
Heléne Bertéus Forslund ◽  
Elisabet Wirfält ◽  
Ingrid Larsson ◽  
Ulrika Ericson ◽  
...  
Keyword(s):  
Energy Intake ◽  
Large Scale ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Future Research ◽  
Food Record ◽  
Frequency Method ◽  
Doubly Labelled Water ◽  
Web Based ◽  
Food Frequency

AbstractTwo web-based dietary assessment tools have been developed for use in large-scale studies: the Riksmaten method (4-d food record) and MiniMeal-Q (food-frequency method). The aim of the present study was to examine the ability of these methods to capture energy intake against objectively measured total energy expenditure (TEE) with the doubly labelled water technique (TEEDLW), and to compare reported energy and macronutrient intake. This study was conducted within the pilot study of the Swedish CArdioPulmonary bioImage Study (SCAPIS), which included 1111 randomly selected men and women aged 50–64 years from the Gothenburg general population. Of these, 200 were enrolled in the SCAPIS diet substudy. TEEDLW was measured in a subsample (n 40). Compared with TEEDLW, both methods underestimated energy intake: −2·5 (sd  2·9) MJ with the Riksmaten method; −2·3 (sd 3·6) MJ with MiniMeal-Q. Mean reporting accuracy was 80 and 82 %, respectively. The correlation between reported energy intake and TEEDLW was r 0·4 for the Riksmaten method (P < 0·05) and r 0·28 (non-significant) for MiniMeal-Q. Women reported similar average intake of energy and macronutrients in both methods whereas men reported higher intakes with the Riksmaten method. Energy-adjusted correlations ranged from 0·14 (polyunsaturated fat) to 0·77 (alcohol). Bland–Altman plots showed acceptable agreement for energy and energy-adjusted protein and carbohydrate intake, whereas the agreement for fat intake was poorer. According to energy intake data, both methods displayed similar precision on energy intake reporting. However, MiniMeal-Q was less successful in ranking individuals than the Riksmaten method. The development of methods to achieve limited under-reporting is a major challenge for future research.

scholarly journals APLIKASI KESEHATAN MENENTUKAN JENIS PENYAKIT LAMBUNG DENGAN MENGAMBIL BEBERAPA GEJALA MENGGUNAKAN METODE FUZZY - MAMDANI

2021 ◽  
Vol 4 (1) ◽  
pp. 32
Author(s):  
Devri Suherdi Chaniago
Keyword(s):  
Expert System ◽  
Health Sector ◽  
Gastrointestinal Symptoms ◽  
Gastric Disease ◽  
Gastric Diseases ◽  
Web Based ◽  
Patient Will ◽  
Database File ◽  
Specific Symptoms

Penelitian ini dilakukan untuk mendiagnosa penyakit lambung yang lebih spesifik pada manusia yaitu grastitis, maag, kanker lambung, tumor lambung / polip lambung, dispesia, gerd, gastroparesis dan gastroenteritis,  dengan adanya gejala yang lebih spesifik maka persentase kemungkinan terjangkitnya penyakit lambung akan lebih besar. Sistem pakar untuk mendiagnosa penyakit lambung dengan menggunakan metode Fuzzy Mamdani dapat membantu meminimalisir peran dokter penyakit dalam sehingga pasien dapat lebih dini mendeteksi jenis penyakit lambung apa yang dideritanya. Sistem pakar berbasis web memungkinkan adanya peranan bidang informatika dalam bidang kesehatan dan dapat disimpan dalam file database yang besar sehingga lebih efisien, tepat sasaran dan mengikuti perkembangan dunia kedokteran. Dengan adanya gejala-gejala penyakit pecernaan yang dideteksi maka akan dapat didiagnosa jenis penyakit lambung apa yang di derita oleh pasien dengan hasil penelitian dapat mendeteksi jenis penyakit lambung, gejala-gejala dan solusi pengobatannya. This research was conducted to diagnose gastric diseases that are more specific to humans, namely grastitis, ulcers, gastric cancer, gastric tumors / gastric polyps, dyspesia, gerd, gastroparesis and gastroenteritis. With more specific symptoms, the percentage of gastric disease will be greater. An expert system for diagnosing gastric disease using the Fuzzy Mamdani method can help minimize the role of internal medicine doctors so that patients can detect what type of gastric disease they have early. The web-based expert system allows the role of informatics in the health sector and can be stored in a large database file so that it is more efficient, on target and follows developments in the medical world. With the detected gastrointestinal symptoms, the patient will be able to diagnose what type of gastric disease suffered by the patient with the results of the research being able to detect the type of gastric disease, its symptoms and treatment solutions.

scholarly journals Web-Based Expert System for Sustainable Urban Transportation [ESSUT]

2019 ◽  
Vol 15 (2) ◽  
pp. 437-443
Author(s):  
Mohammed Ali S. Wafi ◽  
Muhamad Nazri Borhan ◽  
Riza Atiq Abdullah O.K. Rahmat ◽  
Hamza Imhimmed Mohamed Irtema
Keyword(s):  
Expert System ◽  
Urban Transportation ◽  
Web Based

scholarly journals Design and Application of Detection Damage Hardware to Your Computer with Certainty Factor

2021 ◽  
Vol 5 (10) ◽  
pp. 28-31
Author(s):  
Fitri Ayu ◽  
Dwi Sapta Aryatiningsih ◽  
Ambiyar . ◽  
Fahmi Rizal ◽  
Anita Febriani
Keyword(s):  
Expert System ◽  
Research Method ◽  
Factor Models ◽  
Black Box ◽  
Computer Hardware ◽  
Computer Users ◽  
Certainty Factor ◽  
Literature Study ◽  
Web Based ◽  
Black Box Testing

In this study, an expert system is used to detect symptoms of damage to computer hardware. With the application of certainty factor models, it is expected to be able to detect symptoms of damage to computer hardware starting with the symptoms of damage from the computer along with solutions for handling the damage. This study aims to produce a fault diagnosis application on web-based computer hardware. This application is expected to make it easier for users to find solutions regarding experienced hardware problems. This expert system application is made using the certainty factor method so that the resulting diagnosis will display symptoms that have more certainty factors. This application was designed using UML and the PHP programming language with black-box testing. The study was conducted by collecting data through literature study, browsing, and interviews. The research method used is the waterfall method. The time of the research is from September 2019 to February 2020. This research is in an application to diagnose damage to computer hardware. Computer Hardware Damage Detection Application can be a guide for computer users in overcoming the damage to hardware with certainty factor methods and can help users in caring for computer hardware so it is not easily damaged.

scholarly journals IDENTIFIKASI PENYAKIT PADA TERUMBU KARANG MENGGUNAKAN RIPPLE DOWN RULES

2018 ◽  
Vol 1 (2) ◽  
pp. 165-174
Author(s):  
Agus Cahyo Nugroho
Keyword(s):  
Coral Reef ◽  
Expert System ◽  
Expert Systems ◽  
Specific Problem ◽  
Specific Knowledge ◽  
Web Based ◽  
Human Thinking ◽  
Ripple Down Rules

Along with the development of technology, people developed a system that capable of adopting processes and human thinking as an expert system that contains specific knowledge so that everyone can use it to solve a specific problem, namely the diagnosis of coral reef disease. The purpose of this study is to develop an expert system for diagnosing coral reef disease  in the form of websites using PHP with a MySQL database. Expert system for diagnosing coral reef disease problem is using Ripple Down Rules (RDR) method has a goal to discover symptoms that appear in the form of questions that can diagnose the coral reef disease based on website. Web based expert system is able to recognize types of coral reef disease after consultation by answering a few questions that are displayed by the application of expert systems and can infer some types of coral  reef disease. Data coral reef disease that already known adapt to rules which are made for matching the symptoms of coral reef disease.

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