Educational Data Mining Studies in Turkey: A Systematic Review

Aydoğdu, Şeyhmus

doi:10.17718/tojde.762046

Cited by 9 publications

(4 citation statements)

References 33 publications

(55 reference statements)

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“…Deep Learning Libraries: TensorFlow (Fok et al, 2018), Caffe (Cabada et al, 2018), Theano (B. Guo et al, 2015), Torch (Pandey & Bhardwaj, 2012), DeepLearning4j (Lang et al, 2019), Keras (Aydoğdu, 2020), Cognitive Network Toolkit-CNTK (Jiang & Li, 2020), Lasagne (Notten, 2014).…”

Section: Figure 3 Educational Data Mining Methodsmentioning

confidence: 99%

Data Mining Studies in Education: Literature Review For The Years 2014-2020

BİLİCİ

ÖZDEMİR

2022

Bayburt Eğitim Fakültesi Dergisi

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Data mining is one of the important and beneficial technological developments in education and its usage area is becoming widespread day by day as it includes applications that contribute positively to teaching activities. By making raw data in the field of education meaningful using data mining techniques, teaching activities can be made more effective and efficient. Studies carried out in the field of education between 2014-2020 with data mining methods were scanned from the "Science Direct" database. As a result of scanning studies, 60 papers were found to be directly related to data mining in education. The studies include issues such as the development of e-learning systems, pedagogical support, clustering of educational data, and student performance predictions. These selected articles were analyzed in terms of purpose, application area, method, and contribution to the literature. This study aims to group the studies conducted in the field of education using the data mining method under certain headings, evaluate the methods and goals and present the need in this field to the researchers who will work in this field.

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Section: Figure 3 Educational Data Mining Methodsmentioning

confidence: 99%

Data Mining Studies in Education: Literature Review For The Years 2014-2020

BİLİCİ

ÖZDEMİR

2022

Bayburt Eğitim Fakültesi Dergisi

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“…To achieve this objective, we performed a systematic mapping of the literature based on the proposed methodology by Petersen, Robert, Shahid and Mattson (2008) and adjusted by García and Ramírez (2019) and García-Holgado, Marcos-Pablos and García-Peñalvo (2020). Many authors have used this methodology (López et al, 2015;Pérez & Vladimirovna, 2017;Van Eck & Waltman 2017;Howard, Wood & Stonebraker, 2018;Aydoğdu, 2020;Whalley & Barbour, 2020) and agree that the following stages must be carried out: 1) definition of the guidance questions, 2) location of scientific production, 3) refinement of identified scientific production, 4) design of the bibliographic database, and 5) analysis of the bibliographic information.…”

Section: Methodsmentioning

confidence: 99%

Research Competencies Mediated by Technologies: A Systematic Mapping of the Literature

Reyes

Morales

2021

Education in the Knowledge Society

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This study starts from the need to identify which are the research competencies mediated by technologies, required to support the acquisition of knowledge in higher education institutions. The work developed here aims to analyze the scientific production related to the subject with the intention of identifying current research trends. To achieve this, the method of systematic review of literature adjusted to social sciences was used, taking as a source of information the Scopus database. The results indicate that most of the scientific texts have been produced in English, and that the treatment of the topic has been constantly developed since 2016, mostly from the approach of the relationship between research strategies with digital literacy, information literacy, access to digital library databases and the development of critical thinking.

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“…With the rapid development of information technology in recent years, the rapid accumulation of various data has also promoted the progress of data mining technology, making it widely used in medicine [ 20 ], education [ 21 , 22 ], management, and manufacturing [ 23 , 24 ]. In particular, the artificial neural network algorithm in data mining technology is a type of data mining technology inspired by biology, has strong nonlinear expression ability, and is mainly used for prediction research [ 25 , 26 ] and regression analysis [ 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

A study on optimization of delayed production mode of iron and steel enterprises based on data mining

Shi

2023

PLoS ONE

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Delayed production mode has been adopted by an increasing number of process production enterprises as a method to realize mass customization of multi-products. This paper used the convolutional neural network-long short-term memory artificial neural network algorithm (C-LSTM) in data mining technology to analyze and determine factors that have an impact on delayed production mode in the internal and external production and operation of enterprises. Combined with the actual production situation of iron and steel enterprises, a quantitative model of the delayed production was constructed. Lastly, data from a large iron and steel enterprise with good operation was used to verify the validity of the proposed model and analyze key influencing factors. According to the research, in scenarios of considering PDP alone, considering CODP alone, considering both PDP and CODP, considering PDP and CODP and using data mining technology to model, the matching degree of these methods with the actual situation of the enterprise is 31.8%, 61.4%, 71.6% and 86.6%, respectively. The numerical analysis results of the model based on data mining technology show that in delayed production, when customer service level improves or the delay penalty coefficient increases, the optimal locations of the product differentiation point (PDP) and customer order decoupling point (CODP) move toward the end of production, and the total cost increases gradually. When the difference in production cost or benefit of early delivery between the candidate locations of PDP and CODP is small, optimal locations of PDP and CODP are close to the beginning of the general and dedicated production processes. With an increase of cost difference or early delivery benefit, the optimal locations of PDP and CODP jumped to the end stage of the general and dedicated production processes, and the total cost begins to decrease.

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Educational Data Mining Studies in Turkey: A Systematic Review

Cited by 9 publications

References 33 publications

Data Mining Studies in Education: Literature Review For The Years 2014-2020

Data Mining Studies in Education: Literature Review For The Years 2014-2020

Research Competencies Mediated by Technologies: A Systematic Mapping of the Literature

A study on optimization of delayed production mode of iron and steel enterprises based on data mining

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