On the possibility of fuzzy method and its mathematical framework in OBE measurements

Chua, Shing Chyi; Lim, Heng Siong; Oh, Tick Hui; Pang, Shen Yee

doi:10.1016/j.knosys.2012.08.012

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…Gravani et al (2007) in their study called "Professional learning: the fuzzy logic-based modeling approach" applied analysis of the relationships between the sectional quantitative, fuzzy logic-based model and a series of representative data of such variables (drawn from an in-service training program in Greece that were confronted with it. Chua et al (2013), in their study named "On the possibility of a fuzzy method and its mathematical framework of OBE Measurements" described the approach of using fuzzy logic to design a measurement system in outcome based education.…”

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Bahadir

2017

HIG

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Postgraduate education, which is regarded as necessary in the field of education in order to improve the qualifications of teachers seen as culture workers, has become more important than it used to be. In this context, the attitudes of prospective teachers toward pursuing a postgraduate education are crucial. In this study, all of the components, including grades, scores and the attitudes of prospective teachers were interpreted by a fuzzy logic-based evaluation for admission to postgraduate education. The attitudes of the underpostgraduate students towards postgraduate education were determined according to 'the Postgraduate Attitude Scale' . The students' four year college grade point averages and 'academic personnel and postgraduate education entrance exam' scores were also taken into account, and their eligibility for postgraduate education was assessed by using fuzzy logic rules. The study was conducted with 155 prospective teachers who were underpostgraduate students in the program of mathematics teaching for elementary school. During the study, after the test operation was done with one-third of the data, an 80.77% result of the general prediction rate was obtained. These results were further analyzed in detail, and 76 out of 96 students who were eligible for postgraduate education and 48 out of the 59 remaining students were predicted correctly. The data obtained from the study was assessed using fuzzy logic methods, and this approach has proven to reach more effective and accurate results. Keywords: Fuzzy logic, Postgraduate education, Attitude ÖzBir kültür çalışanı olarak değerlendirilen öğretmenlerin niteliklerini arttırmak için günümüzde diğer alanlarda olduğu gibi eğitim alanında da gereklilik gibi görülen lisansüstü eğitim, geçmiş dönemlere nazaran daha önemli hale gelmiştir. Öğretmen adayların lisansüstü eğitime dair tutumları bu bağlamda oldukça önemlidir. Lisansüstü eğitime girişte lisans mezuniyet ortalamaları ve 'akademik personel ve lisansüstü eğitimi giriş sınavı' puanları ağırlıklı olarak dikkate alınmaktadır. Araştırmamızda bu verilerin yanında öğretmen adaylarının tutumlarını da dikkate alarak, lisansüstü eğitime girişte bütün bu bileşenlerin bulanık mantık tabanlı bir değerlendirme ile yorumlanmasına yer verilmektedir. Bu çalışmada, öğrencilerin lisansüstü eğitime yönelik tutumlarının belirlenmesinde 'Lisansüstü Tutum Ölçeği' ile elde edilmiş sonuçlar yanı sıra öğretmen adaylarının lisans mezuniyet ortalamaları ve ' Akademik Personel ve Lisansüstü Eğitimi Giriş Sınavı' puanları da dikkate alınarak lisansüstü eğitime uygun öğrencilerin değerlendirmesi, bulanık mantık kurallarıyla gerçekleştirilmiştir. Çalışma 155 ilköğretim matematik öğretmenliği öğrencisi ile yürütülmüştür. %80.77'lik genel öngörü oranı ile sınıflama yapılmıştır. Öğretmen adaylarının tutum puanları ve eldeki diğer verilerin değerlendirmesi bulanık mantık yöntemi ile yapılmış ve bu yaklaşımla daha etkin ve doğru sonuçlara ulaşılabileceği gösterilmiştir.

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Section: Fuzzy Logic Methodsmentioning

confidence: 99%

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Bahadir

2017

HIG

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“…Chen and Li (2011) also presented a new method of assessing students' performance in which the values of attributes such as "accuracy rate, time rate, difficulty, complexity, answer cost, and importance" are automatically generated using fuzzy reasoning capability, and the student's ability to learn is more accurately assessed. Artificial intelligence via fuzzy logic has been used by Chua et al (2013) in the assessment and measurement of outcome-based education (OBE) on the basis of traditional OBE measurement system. This framework is further extended from Inductive Logic to Second-Order languages, and Wilmer's Principle is introduced.…”

Section: Artificial Intelligence and Assessment Evaluationmentioning

confidence: 99%

Evaluation of the Convincing Ability through Presentation Skills of Pre-Service Management Wizards Using AI via T2 Linguistic Fuzzy Logic

Dey

Jana

2022

JCCE

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Convincing ability is one of the most desirable attributes to be a successful management wizard in any field whether political, business, or domestic. They require to present various facts in such convincing style, strategically employing verbal as well as non-verbal communication, that all being persuaded, accede to their proposal, and their goal is achieved very smoothly. Till date this presentation evaluation skill has been measured in various ways without emphasizing much on various style enhancing attributes. So, in this present paper a communicative approach has been made proposing a model, devised centering Interval Type-2 Fuzzy logic for evaluating the convincing ability of the presenter/communicator through the positive response from the affected audience. And this has been done conducting the study on a group of students budding to be masters in business administration. Here it has also been shown the advantage of the present evaluation procedure over the previously suggested methods.

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Applying a fuzzy, multi-criteria decision-making method to the performance evaluation scores of industrial design courses

Liu

et al. 2019

Interactive Learning Environments

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On the possibility of fuzzy method and its mathematical framework in OBE measurements

Cited by 6 publications

References 16 publications

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Evaluating the attitudes of prospective elementary school mathematics teachers towards postgraduate education in turkey and other components with fuzzy logic

Evaluation of the Convincing Ability through Presentation Skills of Pre-Service Management Wizards Using AI via T2 Linguistic Fuzzy Logic

Applying a fuzzy, multi-criteria decision-making method to the performance evaluation scores of industrial design courses

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