scholarly journals Fuzzy Logic Models for Evaluating Student Understanding of Polar Coordinates

2017 ◽  
Vol 2 (2) ◽  
pp. 64-70
Author(s):  
Michael Gr. Voskoglou

In the paper at hands two assessment methods based on principles of Fuzzy Logic are applied for evaluating the student understanding of polar coordinates on the plane. The first of them utilizes triangular fuzzy numbers as assessment tools and focuses on student mean performance, while the second one adapts properly the Centre of Gravity defuzzification technique to measure the student quality performance. The connections and differences of these methods with the traditional assessment methods of calculating the mean values of the student scores and the Grade Point Average index respectively are also discussed and a classroom experiment performed in an earlier work is reused to illustrate the applicability of the above methods for the purposes of the present work.

2019 ◽  
Vol 9 (3) ◽  
pp. 204 ◽  
Author(s):  
Michael Voskoglou

According to the views of social constructivism, learning takes place when individuals engage socially to talk about and act on shared problems or interests. In recent years, this approach has been very popular for the teaching and learning of mathematics in primary and secondary education. On the contrary, in tertiary education, it seems that most teachers still prefer the traditional way of delivering explicit mathematics instruction, sometimes combined with challenging questions and mathematical discourse with the students to promote conceptual understanding and critical analysis of the mathematical context. The paper at hand presents a classroom experiment comparing those two teaching methods at university level. The outcomes of the experiment were assessed and compared with the help of the Grade Point Average index to evaluate the student quality performance and by using grey numbers to evaluate their mean performance. Further empirical research is needed to obtain definitive results on the effectiveness of those two methods for teaching mathematics at university level.


Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 230 ◽  
Author(s):  
Michael Voskoglou

The assessment of a system’s performance is a very important task, enabling its designer/user to correct its weaknesses and make it more effective. Frequently, in practice, a system’s assessment is performed under fuzzy conditions, e.g., using qualitative instead of numerical grades, incomplete information about its function, etc. The present review summarizes the author’s research on building assessment models for use in a fuzzy environment. Those models include the measurement of a fuzzy system’s uncertainty, the application of the center of gravity defuzzification technique, the use of triangular fuzzy or grey numbers as assessment tools, and the application of the fuzzy relation equations. Examples are provided of assessing human (students and athletes) and machine (case-based reasoning systems in computers) capacities, illustrating our results. The outcomes of those examples are compared to the outcomes of the traditional methods of calculating the mean value of scores assigned to the system’s components (system’s mean performance) and of the grade point average index (quality performance) and useful conclusions are obtained concerning their advantages and disadvantages. The present review forms a new basis for further research on systems’ assessment in a fuzzy environment.


2020 ◽  
Vol 89 ◽  
pp. 05003
Author(s):  
Viktoriia Kokhanova

Faced with the need to implement digital tools / processes, the company is forced to independently calculate not only costs, but also methods and mechanisms for assessing the effectiveness of these innovations. In this situation, it is necessary to choose, among other things, methods and assessment tools, and the use of the apparatus of fuzzy logic can be used as one of the tools. In this article, we give an example of using the apparatus of fuzzy logic, indicate the criteria that can be used as criteria for building a system for assessing the effectiveness of digitalization in order to achieve the strategic corporate interests of the company, and also provide an overview of the available developments. Within the framework of the article, we have also identified the directions of modification of classical assessment methods that are possible using the apparatus of fuzzy logic.


Author(s):  
Raksha Anand ◽  
John Hart ◽  
Patricia S. Moore ◽  
Sandra B. Chapman

Abstract Purpose: Frontotemporal lobar degeneration (FTLD) encompasses a group of neurodegenerative disorders characterized by gradual and progressive decline in behavior and/or language. Identifying the subtypes of FTLD can be challenging with traditional assessment tools. Growing empirical evidence suggests that language measures might be useful in differentiating FTLD subtypes. Method: In this paper, we examined the performance of five individuals with FTLD (two with frontotemporal dementia, two with semantic dementia, and one with progressive nonfluent aphasia) and 10 cognitively normal older adults on measures of semantic binding (Semantic Object Retrieval Test and semantic problem solving) and abstracted meaning (generation of interpretive statement and proverb interpretation). Results and Conclusion: A differential profile of impairment was observed in the three FTLD subtypes on these four measures. Further examination of these measures in larger groups will establish their clinical utility in differentiating the FTLD subtypes.


2017 ◽  
Vol 18 (2) ◽  
pp. 148-157 ◽  
Author(s):  
Karine Fournier ◽  
Lindsey Sikora

Purpose Though we live in a digital era, libraries offer significant hours of in-person reference services, in combination with online reference services. Nevertheless, an increase in requests for in-person, individualized research consultations (IRCs) over the last few years has been observed. IRCs between librarians and students are common practice in academic institutions. While these sessions can be deemed useful for patrons, as they are tailored to their specific needs, however, they can also be time consuming for the librarians. Therefore, it is important to evaluate this service, and assess its impact in order to ensure that the users are getting the most out of their sessions. The purpose of this paper is to gather information on the evaluation and assessment tools that Canadian institutions are using to obtain feedback, measure their impact and improve their consultation services. Design/methodology/approach A bilingual (French and English) web-based questionnaire was issued, with a generic definition of IRCs provided. The questionnaire included general demographics and background information on IRC practices among Canadian academic librarians, followed by reflective questions on the assessment process of such practices. The questionnaire was sent to Canadian academic librarians via e-mail, using professional librarian associations’ listservs, and Twitter was used for dissemination as well. Findings Major findings of the survey concluded that the disciplines of health sciences and medicine, as well as the arts and humanities are the heaviest users of the IRC service model. On average, these sessions are one hour in length, provided by librarians who often require advanced preparation time to adequately help the user, with infrequent follow-up appointments. It was not surprising that a lack of assessment methods for IRCs was identified among Canadian academic libraries. Most libraries have either no assessment in place for IRCs, or they rely heavily on informal feedback from users, comments from faculty members and so on. A small portion of libraries use usage statistics to assess their IRCs service, but other means of assessment are practically non-existent. Research limitations/implications The survey conducted was only distributed to Canadian academic libraries. Institutions across the USA and other countries that also perform IRCs may have methods for evaluating and assessing these sessions which the authors did not gather; therefore, the evidence is biased. As well, each discipline approaches IRCs very differently; therefore, it is challenging to compare the evaluation and assessment methods between each discipline. Furthermore, the study’s population is unknown, as the authors did not know the exact number of librarians or library staff providing IRCs by appointment in academic Canadian institution. While the response rate was reasonably good, it is impossible to know if the sample is representative of the population. Also, it needs to be acknowledged that the study is exploratory in nature as this is the first study solely dedicated at examining academic librarians’ IRC practices. Further research is needed. As future research is needed to evaluate and assess IRCs with an evidence-based approach, the authors will be conducting a pre-test and post-test to assess the impact of IRC on students’ search techniques. Originality/value Evidence-based practice for IRCs is limited. Very few studies have been conducted examining the evaluation and assessment methods of these sessions; therefore, it was believed that a “lay of the land,” so to speak, was needed. The study is exploratory in nature, as this is the first study solely dedicated at examining the evaluation and assessment methods of academic librarians’ IRC practices.


2017 ◽  
Vol 1 (1) ◽  
pp. 22
Author(s):  
Khairul Saleh

Abstract - In the world of education to achieve the level of success, of course, they have a benchmark for the success of students, one of them is the Grade Point Average (GPA). The purpose of this study is to determine the final GPA so that later it can be used as a reference to predict the success rate of students. The issue of decision-making systems using Fuzzy systems is very suitable for definite reasoning or estimation, especially for systems with strict mathematical models that are difficult to get a definite decision. Fuzzy logic can be used to describe a system of chaotic dynamics, and fuzzy logic can be useful for complex dynamic systems where solutions to common mathematical models cannot work well. The Mamdani method computes efficiently and works well with optimization and adaptive techniques, which makes it very good in control problems, especially for dynamic non-linear systems. Keywords - Cumulative Achievement Index (GPA), fuzzy system, decision making system, mamdani information


2021 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Takao Yamasaki ◽  
Shuzo Kumagai

Patients show subtle changes in daily behavioral patterns, revealed by traditional assessments (e.g., performance- or questionnaire-based assessments) even in the early stage of Alzheimer’s disease (AD; i.e., the mild cognitive impairment (MCI) stage). An increase in studies on the assessment of daily behavioral changes in patients with MCI and AD using digital technologies (e.g., wearable and nonwearable sensor-based assessment) has been noted in recent years. In addition, more objective, quantitative, and realistic evidence of altered daily behavioral patterns in patients with MCI and AD has been provided by digital technologies rather than traditional assessments. Therefore, this study hypothesized that the assessment of daily behavioral changes with digital technologies can replace or assist traditional assessment methods for early MCI and AD detection. In this review, we focused on research using nonwearable sensor-based in-home assessment. Previous studies on the assessment of behavioral changes in MCI and AD using traditional performance- or questionnaire-based assessments are first described. Next, an overview of previous studies on the assessment of behavioral changes in MCI and AD using nonwearable sensor-based in-home assessment is provided. Finally, the usefulness and problems of nonwearable sensor-based in-home assessment for early MCI and AD detection are discussed. In conclusion, this review stresses that subtle changes in daily behavioral patterns detected by nonwearable sensor-based in-home assessment can be early MCI and AD biomarkers.


2018 ◽  
Vol 7 (1) ◽  
pp. 129-135 ◽  
Author(s):  
Spela Verovsek ◽  
Matevz Juvancic ◽  
Tadeja Zupancic

Abstract The paper provide an insight into the research conducted by the University of Ljubljana, and the Urban institute of Slovenia committed to the assessment of the efficiency related to the management of local resources at the level of neighbourhoods. The reduction of energy consumption and energy efficient built environments are key objectives of many sustainability agendas which is followed by suitable assessment methods in urban analytics. However, there are two important hesitations occurring: first, traditional assessment methods that focus solely on the energy reduction and efficiency are often too narrow in their analysis and limited in their scope of impact. According to the recent advances in research worldwide, efforts solely related to reduction of energy consumption will unlikely lead to more responsive environments or rise the living quality. Thus, more comprehensive methodologies for assessing and monitoring the change and transformation in built environments shall be sought for to reach long-term sustainability. Second, to date, the majority of the evaluation methods - whether focusing to energy consumption or broader sustainability issues - are building- or household- oriented, thus systematically examining separate spatial and social entities, but neglecting the spaces between, the holistic aspect and the community aspect. The research develops structured evaluation model, where two main research pillars are addressed: 1) the development of the structured and modular system of indicators; and 2) the development of the methodology to interpret the resulting values. The paper presents first two stages of the research process and subjects the outcomes to the debate.


Author(s):  
Nicholas E. Husbye ◽  
Julie Rust

Technology continues to change the possibilities for text creation within the classroom, promoting student engagement in multimodal text production. Such a shift requires corresponding shifts in assessment discourses, from a justification for assigning a particular grade to a reflection of both the students’ learning and intention. This chapter presents insights from classroom researchers as they engage in multimodal text creation with both elementary and secondary students, highlighting the tensions present in attempting multimodal text creation with students while attempting to adapt print-centric assessment models. This work suggests a needed move away from traditional assessment tools, such as rubrics, and an increased awareness on behalf of teachers in regards to the intentions of students within the multimodal text creation process.


Author(s):  
Michael Voskoglou

A Fuzzy Number (FN) is a special kind of FS on the set R of real numbers. The four classical arithmetic operations can be defined on FNs, which play an important role in fuzzy mathematics analogous to the role played by the ordinary numbers in crisp mathematics (Kaufmann & Gupta, 1991). The simplest form of FNs is the Triangular FNs (TFNs), while the Trapezoidal FNs (TpFNs) are straightforward generalizations of the TFNs. In the present work a combination of the COG defuzzification technique and of the TFNs (or TpFNs) is used as an assessment tool. Examples of assessing student problem-solving abilities and basket-ball player skills are also presented illustrating in practice the results obtained. This new fuzzy assessment method is validated by comparing its outcomes in the above examples with the corresponding outcomes of two commonly used assessment methods of the traditional logic, the calculation of the mean values and of the Grade Point Average (GPA) index. Finally, the perspectives of future research on the subject are discussed.


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