A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

İnce, Murat; Yi̇ği̇t, Tuncay; Işık, Ali Hakan

doi:10.1142/s0219622020500054

Cited by 14 publications

(8 citation statements)

References 49 publications

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“…Both studies agree on the idea that they are systems that prove to be efficient in making decisions similarly to what a human would do. The AI techniques used in the studies are diverse, although the most widely used is the fuzzy-logic system [22,37,49], often in combination with other methods.…”

Section: Understanding Of Aimentioning

confidence: 99%

“…Some of them explicitly mention this type of evaluation, while others can be extrapolated from what is described in the work. Three of the papers that do not use formative assessment focus on the use of AI in English language teaching [27,44,50], another two used AI in secondary education [43,47] and the other two in mathematics, but at university level [48,49].…”

Section: Formative Evaluation As the Reason For The Use Of Aimentioning

confidence: 99%

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Artificial Intelligence for Student Assessment: A Systematic Review

2021

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Artificial Intelligence (AI) is being implemented in more and more fields, including education. The main uses of AI in education are related to tutoring and assessment. This paper analyzes the use of AI for student assessment based on a systematic review. For this purpose, a search was carried out in two databases: Scopus and Web of Science. A total of 454 papers were found and, after analyzing them according to the PRISMA Statement, a total of 22 papers were selected. It is clear from the studies analyzed that, in most of them, the pedagogy underlying the educational action is not reflected. Similarly, formative evaluation seems to be the main use of AI. Another of the main functionalities of AI in assessment is for the automatic grading of students. Several studies analyze the differences between the use of AI and its non-use. We discuss the results and conclude the need for teacher training and further research to understand the possibilities of AI in educational assessment, mainly in other educational levels than higher education. Moreover, it is necessary to increase the wealth of research which focuses on educational aspects more than technical development around AI.

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Section: Understanding Of Aimentioning

confidence: 99%

Section: Formative Evaluation As the Reason For The Use Of Aimentioning

confidence: 99%

Artificial Intelligence for Student Assessment: A Systematic Review

2021

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“…AHP is based on perception, so the FAHP is more expressive for user decisions as compared to AHP [ 55 ]. Thus, FAHP can effectively be used for many different areas such as supplier selection [ 56 ] and test sheet preparation problems [ 57 ]. Traditional FAHP was modified with Extent Analysis Method by Chang [ 58 ] to be used easily in among other MDCM methods.…”

Section: Methodsmentioning

confidence: 99%

“…In many studies, the AHP method includes GA as a tool [ 63 – 65 ]. Conversely, in some studies, the weights of each criterion for the fitness evaluation of chromosomes in the GA are calculated with AHP [ 57 , 66 – 68 ]. In this proposed study, different from the aforementioned studies, hybrid FAHP-GA model was used for procedural game level generation, but criteria and sub-criteria values are changed dynamically in an automatic and intelligent way by using BiLSTM method.…”

Section: Methodsmentioning

confidence: 99%

BiLSTM and dynamic fuzzy AHP-GA method for procedural game level generation

İnce

2021

Neural Comput & Applic

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The use of games in daily life, especially in education, has been in an incline during the COVID-2019 pandemic. Thus, game-based learning environments have caused an increase in the need of game contents, but generation of the game contents and levels is a time-consuming and costly process. Generated game contents and levels should be balanced, dense, aesthetic and reachable. Also, the time as well as the costs spent should be decreased. In order to overcome this problem, automatic and intelligent game content and level generation methods have emerged, and procedural content generation (PCG) is the most popular one of these methods. Artificial intelligence techniques are used for procedural game level generation instead of traditional methods. In this study, bidirectional long short-term memory (BiLSTM) and fuzzy analytic hierarchy process-genetic algorithm (FAHP-GA) methods were used to generate procedural game levels. This proposed hybrid system was used in a developed educational game as a case study to create game levels. The performance of the proposed study was compared to the other multi-criteria decision-making (MCDM) methods, and also further statistical analyses were investigated. The results showed that the BiLSTM-based FAHP-GA method can be used for procedural game level generation effectively.

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“…AHP focuses on perception, so the FAHP is more indicative for user decisions when compared to AHP [51]. Thus, FAHP can effectively be deployed for various fields such as supplier selection [52], test sheet preparation problems [53] and performance evaluation of government websites [50]. Traditional FAHP was modified with Extent Analysis Method by Chang [54] so as to be used in a simpler way among other MCDM methods.…”

Section: Ahp and Fahpmentioning

confidence: 99%

Automatic e-content sequencing system for personalised learning environments by using fuzzy AHP based on multiple intelligences

İnce

2021

Journal of Information Science

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The use of personalised learning environments (PLEs) and adaptive learning environments (ALEs) in education has increased during the COVID-2019 pandemic. Thus, the need of effective and high-quality PLEs and ALEs has emerged but developing such learning environments has some difficulties such as the need for a huge number of qualified e-contents. Generation of e-contents for these systems is a time-consuming and costly process. Moreover, presenting the same e-content for each student is not effective because each student can have different intelligence type. To overcome these problems, low cost, reusable and dynamic e-contents can be used for PLE and ALE systems. For this purpose, fuzzy analytic hierarchy process (FAHP) was used to provide sequenced e-contents for PLE and ALE systems. This proposed system was used in a case study to investigate its impact on learning process. The performance of the proposed study was compared with analytical hierarchy process (AHP), which is another multi-criteria decision-making (MCDM) method, also further statistical analyses were investigated. The results showed that 84.6% of students showed interest in the proposed system, so the FAHP method can be used for presenting personalised e-content effectively.

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A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

Cited by 14 publications

References 49 publications

Artificial Intelligence for Student Assessment: A Systematic Review

Artificial Intelligence for Student Assessment: A Systematic Review

BiLSTM and dynamic fuzzy AHP-GA method for procedural game level generation

Automatic e-content sequencing system for personalised learning environments by using fuzzy AHP based on multiple intelligences

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