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Citation - Scopus: 5
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
(Institute of Electrical and Electronics Engineers Inc., 2018) Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent; Özel, Pınar; Akan, Aydin I.; Yilmaz, Bulent
Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach for emotional state classification by the investigation of EEG signals via multivariate synchrosqueezing transform (MSST). MSST is a post-processing technique to compose a localized time-frequency representation yielding multivariate syncyrosqueezing coefficients. After obtaining these coefficients from EEG signals for 18 subjects from DEAP dataset, coefficients and self-assessment-mannequins (SAM) labels of those subjects are used for emotional state classification by using support vector machines (SVM) nearest neighbor, decision tree, and ensemble methods. The accuracy rate is 70.6% for high valence high arousal (HVHA), 75.4% for low valence high arousal (LVHA), 77.8% for high valence low arousal (HVLA), and 77.2% for low valence low arousal (LVLA) cases using SVM. © 2019 Elsevier B.V., All rights reserved.
Sustainable Water Management and Rehabilitation in the Mining Lakes, Ilgin-Konya, Turkey
(Agro Arge Danismanlik San ve Tic As, 2016) Delibalta, M. S.; Uzal, N.; Lermi, A.
The processes during the search, production and enrichment of mining operations naturally affects the air, soil, water resources in turn the natural environment and living organisms. In general, the environmental impact of coal opencast mining operations is much more significant than that of underground mining and mineral processing. After stripping of the material filling the holes in coal opencast production, with the rise of surface water and ground water level is composed of large or small ponds. Low pH (acidic characteristic) and high metal concentrations (Al, Ca, Mn, Fe, Cu, Zn, Pb) of these ponds, containing sulfide minerals and the waste materials, for the sustainability of natural resources is one of the biggest environmental problems. This paper is to investigate geochemical characteristics of the pond waters in the Ilgm Coal deposit area. Geochemical analyses were made by ICP-MS in waters taken from ponds in each three-month periods. Highest heavy metal contents 1839 ppb Mn and 9777 ppb Fe, the average pH values 6.49-7.81, turbidity (NTU) 0.1263.6, sulphate content 0.05-2.67 mg SO4/L, chemical oxygen demand 4-136 mg O-2/L, and electrical conductivity 285 mu S/cm4.68 mS/cm have been measured during the monitoring study of five different lignite opencast mine post-production lakes of the TKI GLI Ilgm. Analyses were performed in three-month periods. The results were evaluated within the framework of relevant laws and regulations.
Beyond Moral Foundations: In it What is in it
(2023) Özkan, Türker; Yalçındağ, Bilge
Ahlak kavramının içeriği nedir? Bu soru yıllar boyu psikoloji literatüründe kısmen dar bir bakış açısı ile zarar vermemek ve adil olmak şeklinde yanıtlanmıştır. Geçtiğimiz 30 yılda yapılan araştırmalarla ahlak anlayışı oldukça genişlemiştir. Farklı alanlardaki ilerlemeler ahlaka daha kapsamlı bir bakış açısı getirilmesini sağlamıştır; özellikle ahlaki temeller kuramı (ATK), sadakat, otorite ve kutsallık gibi başka ahlaki ilkelerin de varlığını iddia etmiştir. Mevcut araştırma, iki niteliksel çalışmayla sıradan insanların ahlak anlayışını araştırmıştır. İlk çalışmada, ATK’nin ahlaki temel tanımlarını kullanarak katılımcılar tarafından nasıl algılandıklarını anlamayı amaçladık. İkinci çalışmada ise daha yapısal olmayan bir yol kullanarak ahlakı, ahlaklı insanı ve ahlaksız insanı nasıl tanımladıklarını anlamaya çalıştık. Bulgular çoğulcu ahlaki bakış açısını doğrulamıştır. Bununla beraber, ahlaki temellerde daha net işevuruk tanımların gereği ve çeşitli değişiklik önerileri dile getirilmiştir. Sonradan eklenen bir ahlaki kavram olan özgürlük, daha geniş yönleriyle birlikte ahlaki bir temel olarak da desteklenmiştir. Sonuçlar ATK’nin bakış açısını bireysel, toplumsal ve evrensel düzeydeki ahlaki ilkelerle genişletmekte ve ahlaki duygular, erdemler ve kötülükler gibi yeni araştırma alanları sunmaktadır.
Citation - Scopus: 1
Data-Driven Discovery and DFT Modeling of Fe4H on the Atomistic Level
(Elsevier B.V., 2024) Zagorac, Dejan; Zagorac, Jelena; Djukic, Milos B.; Bal, Burak; Schön, Johann Christian
Since their discovery, iron and hydrogen have been two of the most interesting elements in scientific research, with a variety of known and postulated compounds and applications. Of special interest in materials engineering is the stability of such materials, where hydrogen embrittlement has gained particular importance in recent years. Here, we present the results for the Fe-H system. In the past, most of the work on iron hydrides has been focused on hydrogen-rich compounds since they have a variety of interesting properties at extreme conditions (e.g. superconductivity). However, we present the first atomistic study of an iron-rich Fe4H compound which has been predicted using a combination of data mining and quantum mechanical calculations. Novel structures have been discovered in the Fe4H chemical system for possible experimental synthesis at the atomistic level. © 2024 Elsevier B.V., All rights reserved.
Proximity or Directional Model of Voting for the Turkish Voter?
(2024) İnan, Murat; Akdağ, Gül Arıkan
Oy verme davranışı oldukça karmaşık bir politik davranış türüdür. Bu nedenle seçmenlerin belirli bir politik parti ya da adaya neden oy verdiklerini anlamak karmaşık modeller geliştirmeyi gerektirir. 1957 yılında, Modelini Hottelings ve Smithies'in modelleri üzerine kuran Anthony Downs, siyasi partilerin ve adayların ideolojik ve meseleler üzerindeki konumlarının tek boyutlu bir alanda ifade edilebileceğini savunmuştur. Belirli bir konudaki politik fikirlerin bu şekilde ifade edilebileceğini ileri sürmek bir yandan son derece indirgemeciyken, diğer yandan ise analitik açıdan son derece pratikti. Partileri, adayları ve seçmenleri konumlarına göre tek boyutlu bir alana yerleştirmek zamanı için devrim niteliğinde bir fikirdi ve parti, aday ve seçmenlerin ideolojik ve meseleler üzerindeki konumlarının her bir ülke içinde veya ülkeler arasında karşılaştırılmasına yardımcı olmuştur. Parti rekabetinin uzamsal modelleri olarak adlandırılan bu modeller zaman içinde daha da geliştirilmiş ve oy verme davranışını anlamayı kolaylaştırmıştır. Halihazırda parti rekabetinin uzamsal modelleri seçmenlerin ideolojik konumlarını parti ideolojik konumlarıyla ilişkilendiren iki başlıca rakip modele sahiptir. Basitçe, yakınlık modeli, seçmenlerin siyasi alanda kendilerine en yakın ideolojik pozisyona sahip parti veya adaylara oy vereceklerini önerirken, yön modeli ise seçmenlerin ideolojik yelpazenin kendi tarafında fakat kendilerinden daha uç noktada ancak belirli bir kabul edilebilirlik bölgesi içerisinde bulunan parti veya adaylara oy vereceklerini önermektedir. Bu araştırma, bu iki oy verme modelinin Türk seçmeni için uygulanabilirliğini test etmeyi amaçlamaktadır. Mevcut literatürde Nispi Temsil Sistemlerinde (NTS) yakınlık modelinin oy verme davranışını açıklamak için daha uygun bir araç olduğunun önerilmesinden ötürü, Türkiye uzun süredir kullandığı NTS seçim sistemiyle ilginç bir örnek teşkil etmektedir. Bu gerekçeyle, NTS’nin geçerli seçim sistemi olarak kullanıldığı Türkiye’de seçmen davranışının yön modelinden çok yakınlık modeli ile açıklanacağını önermekteyiz. Araştırmamız Türkiye'deki dört büyük siyasi partinin, Adalet ve Kalkınma Partisi (AKP), Cumhuriyet Halk Partisi (CHP), Milliyetçi Hareket Partisi (MHP) ve Halkların Demokrasi Partisi (HDP), seçmenlerine ilişkin Karşılaştırmalı Seçim Sistemleri Araştırması (CSES) verilerini analiz etmektedir. Bağımlı ve bağımsız değişkenler arasındaki ilişkileri ortaya çıkarmak için bir dizi Çoklu Doğrusal Regresyon Analizleri yapılmıştır. Her bir seçmen için her bir siyasi partinin partiyi sevmesevmeme şeklinde ifade edilen parti kabulü, her analizde bağımlı değişken olarak ayrı ayrı kullanılmıştır. Konu mesafesi ve konu skaler çarpımı, sırasıyla yakınlık ve yön modelleri için formülleri temsil eden temel bağımsız değişkenler olarak kullanılmıştır. Ayrıca eğitim, yaş, cinsiyet ve gelir de klasik kontrol değişkenleri olarak alınmıştır. İstatistiki modellerin açıklama güçlerinin karşılaştırması, MacDonald ve meslektaşlarının bulgularının aksine, Türkiye'de oy verme davranışını açıklamada yakınlık modelinin yön modelinden daha uygun bir araç olduğunu göstermiştir. Makro-politik bir bakış açısıyla bakıldığında bu bulgu, Westholm'un (1997) NTS’lerinde yakınlık modelinin oy verme davranışını açıklamada daha uygun bir araç olduğu önerisini doğrulamaktadır. Ancak ifade edilmelidir ki, kesin sonuçlar için çok ülkeli karşılaştırmalı analizlere ihtiyaç bulunmaktadır.
Citation - Scopus: 2
Street Vendor Detection: Helping Municipalities Make Decisions With Actionable Insights
(IEEE, 2021) Agba, Hatice Nur; Tahir, Abdullah
Street vendors are quite common in countries across the world. By the prevalence of mobile surveillance systems, increasing demand for automatic detection of street vendors for further decisions and planning by the city administrators emerged. In this paper, an object detector is developed using a MobileNet SSD object detection algorithm to detect vendors on the street. For this study images were used, however, in the future this technique could be used for real time video footage from street cameras. Since this is the first study tackling this issue, a data set was created from scratch. The accuracy achieved by the algorithm is promising considering the size of the data set and the minimal computational power available. The goal of this research is to pave the way for more work to be done in this area and help municipalities improve their decision making process regarding street vendor activities in countries like Mexico, Pakistan, China, Turkey, etc.
Citation - Scopus: 12
Kinetic Rosette Patterns and Tessellations
(Wit Press, 2017) Beatini, Valentina
The paper investigates the possibility to create kinetic rosette patterns and their tessellations by means of modular linkages which rely on the same type and number of symmetry operations as the reference models. The mechanisms show a hierarchy of movements. It is found that symmetry is an effective unifying concept in the design of both the fixed models and the mechanisms. Furthermore, the resulting rosette linkages and their tessellations have peculiar kinematic characteristics if compared to other modular mechanisms which may be alternatively used to reproduce the same kind of models. © 2023 Elsevier B.V., All rights reserved.
Evaluation of Hybrid Classification Approaches: Case Studies on Credit Datasets
(Springer Verlag service@springer.de, 2018) Cetiner, Erkan; Güngör, Vehbi Çağrı; Kocak, Taskin
Hybrid classification approaches on credit domain are widely used to obtain valuable information about customer behaviours. Single classification algorithms such as neural networks, support vector machines and regression analysis have been used since years on related area. In this paper, we propose hybrid classification approaches, which try to combine several classifiers and ensemble learners to boost accuracy on classification results. We worked with two credit datasets, German dataset which is a public dataset and a Turkish Corporate Bank dataset. The goal of using such diverse datasets is to search for generalization ability of proposed model. Results show that feature selection plays a vital role on classification accuracy, hybrid approaches which shaped with ensemble learners outperform single classification techniques and hybrid approaches which consists SVM has better accuracy performance than other hybrid approaches. © 2018 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
Man-Hour Prediction for Complex Industrial Products
(Institute of Electrical and Electronics Engineers Inc., 2023) Unal, Ahmet Emin; Boyar, Halit; Kuleli Pak, Burcu Kuleli; Cem Yildiz, Mehmet; Erten, Ali Erman; Güngör, Vehbi Çağrı
Accurately predicting the cost is crucial for the success of complex industrial projects. There can be several sources contributing to the cost. Traditional methods for cost estimation may not provide the required accuracy and speed to ensure the success of the project. Recently, machine learning techniques have shown promising results in improving cost estimation in various industrial products. This study investigates the performance of gradient-boosting machine learning models and feature engineering techniques on a private dataset of metal sheet project man-hour costs. A comparison of distinct models is conducted, key aspects influencing cost are identified, and the implications of incorporating domain-specific knowledge, including its advantages and disadvantages, are assessed based on performance outcomes. Experimental results demonstrate that LightGBM and XGBoost outperform other models, and feature selection and synthetic data generation techniques improve the performance. Overall, this study highlights the potential of machine learning in metal sheet sampling projects and emphasizes the importance of feature engineering and domain expertise for better model performance. © 2024 Elsevier B.V., All rights reserved.
Citation - WoS: 2
Evolution of Production Spaces: A Historical Review for Projecting Smart Factories
(Konya Technical Univ, Fac Architecture & design, 2023) Basegmez, Merve Pekdemir; Asiliskender, Burak
Factories are transforming not only mechanically and technologically but also architecturally due to emerging developments in the industry and fabrication: This new process, called the Second Machine Age or Industry 4.0, a new model is designed in production by providing the human-machine partnership over a virtual network. It is aimed that the machines used in production and the people participating in different stages of production can work in different spaces. In time, jobs that require human power will be replaced by robots, and a new order is being considered where there will be no people in production spaces, and they can work in the virtual environment. Production for human beings is mostly from material production to digital production; labour will turn into digital labour. For this reason, it is thought that production spaces will turn into smart factories with only machines and production robots and no workers. And now the question is: what is a smart factory?The revolutions in the industry history started with the invention of the steam engine; then, new technological revolutions were experienced with the use of electricity in production, the development of automation systems and internetbased systems. While technology and production tools are constantly changing, these developments also affect production spaces. Factories are also transforming to keep up with these rapid and continuous physical and fictional innovations. This study focuses on the architectural evolution of factories by following the technological revolutions of the industry. It examines the main criteria in the process of change and transformation of factories and spatial reflections of the revolutions. It establishes a relationship between production technology and the needs of the production spaces and seeks references from past samples. The study aims to review the historical background for generating a projection to new production spaces and to be a new discussion for future factories.
Citation - Scopus: 3
Subprime Mortgages and Lending Bubbles
(Bank Indonesia Institute, 2018) Polat, Ali Yavuz
We consider a model with two types of households: the poor with no initial endowment and the rich with positive endowment, and two types of assets: properties in a poor area and properties in a rich area. In the model, poor agents need credit to buy an asset, whereas the rich can draw from their endowment. We show that credit-fueled housing bubbles sometimes may improve welfare, making the poorer individuals better off. More precisely, there exist two types of equilibria in both property markets: one is a bubble equilibrium, and the other is an equilibrium where asset prices are stable over time. While the poor always obtain a positive surplus in the bubble equilibrium, this is not necessarily true for the rich. Our results suggest that there may be scope for market interventions aimed at sustaining the value of assets held by credit-constrained agents after the burst of a credit bubble. © 2025 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
The Communication Strategies of Ideologically Polarized Civil Society Organizations on Twitter: The Case of Turkey
(Springer Nature, 2022) Akboga, Sema; Arik, Engin
We investigated how ideologically polarized civil society organizations (CSOs) in Turkey use Twitter. We analyzed tweets from 20 CSOs in Turkey for a period of 7 months by using the Information-Community-Action framework. For all types of CSOs, the number of information tweets was higher than the number of action tweets, which, in turn, was higher in number than the community tweets. Religious/conservative and anti-government CSOs posted significantly more tweets than secular and pro-government CSOs, respectively. Religious/conservative and pro-government CSOs posted more information and community tweets than secular and anti-government CSOs, respectively. The number of anti-government CSOs’ action tweets was higher than that of pro-government CSOs. We, therefore, propose that the ideological stance of a CSO is a factor affecting the content of its tweets in societies where CSOs are politically polarized. © 2024 Elsevier B.V., All rights reserved.
The Revolarization of Industrial Heritage: AGU Sumer Campus in Kayseri, Turkey
(Scuola Pitagora Editrice, 2016) Asiliskender, Burak; Baturayoglu Yoney, Nilufer
The Sumerbank Textile Factory in Kayseri (1932-1935) was one of the earliest and largest industrial complexes designed and constructed following the foundation of the Turkish Republic. This was a striking ensemble of buildings with rationalist and functionalist vocabulary, which also functioned as an urban center of social and cultural modernization, providing work and cultural/recreational activities based on a secular and westernized way of life in contrast with the existing traditional society. The factory went through a number of technological changes during its production history, and was finally closed and abandoned in 1999. The site, located along the northern development corridor of the city, and its buildings soon became derelict and were vandalized. Various projects for its regeneration as a green area were not implemented. National designation followed for the site in 2003 and for the buildings in 2007. However no conservation or adaptive re-use plans were made until the allocation of the complex to Abdullah Gul University in 2012. Today the complex is being transformed into an urban university campus. The master plan dated 2014 aims to redefine the urban and socio-cultural function of the complex. The open campus concept will welcome the citizens to an architecturally preserved and restored site with a selection of new activities focusing on culture and education at different levels where the spirit and memory of place will be sustained.
Citation - Scopus: 3
Application of Team-Based Learning at a Health Science Course: A Case Study
(Athens Institute for Education and Research, 2019) Bengu, Elif
The purpose of this study is to identify students’ reactions to the implementation of team-based learning as an instructional strategy in a pharmacology course in the context of a Turkish university. Team-based learning is defined as an active form of learning that not only encourages individual effort but also team involvement to learn in an academic setting. Team-based learning is one of the learning techniques/methods that is increasingly being used in medical education. Literature shows that in teambased learning students apply the concepts at the time they are learned in the classroom, before the exams, as opposed to traditional lecturing, in which the concepts that are learned are later tested in the exams. Furthermore, research supports that faculty are more engaged with their students in team-based learning, since it affords instructors the ability to readily identify what their students are achieving, as opposed to traditional lecturing or other group approaches. There are limited studies in Turkey that examine the applications of team-based learning in a higher education setting. Therefore, this study describes the use of the team-based learning technique in an undergraduate health science course in Turkey. The initial results indicate that this instructional strategy was beneficial for students’ learning. © 2023 Elsevier B.V., All rights reserved.
Design and Development of Functional Organic Small Molecules and Polymers for Optoelectronics
(Amer Chemical Soc, 2016) Usta, Hakan; Demirel, Gokhan; Facchetti, Antonio; Muccini, Michele
Citation - Scopus: 31
Numerical Solutions of the Kawahara Equation by the Septic B-Spline Collocation Method
(International Academic Press, 2014) Karakoç, Seydi Battal Gazi; Zeybek, Halil; Ak, Turgut
In this article, a numerical solution of the Kawahara equation is presented by septic B-spline collocation method. Applying the Von-Neumann stability analysis, the present method is shown to be unconditionally stable. The accuracy of the proposed method is checked by two test problems. L2 and L∞ error norms and conserved quantities are given at selected times. The obtained results are found in good agreement with the some recent results. © 2016 Elsevier B.V., All rights reserved.
Statistical Analysis of Vehicle Driver Behaviors
(Amer Inst Physics, 2018) Saracli, Sinan; Gazeloglu, Cengiz
Purpose of this study is to examine the drivers' attitudes and behaviors in traffic via statistical techniques. With this purpose, the reactions of the motor vehicle drivers in traffic, correlations between negative reactions and personality characteristics and how they describe themselves and how they feel while they are driving have been examined. The participants of this study are composed of 500 drivers in Afyonkarahisar Province dates between 01 April - 30 June 2016. To measure the drivers attitudes and behaviors in traffic, a Likert scale type questionnaire, which was used in Cmar 's (2007) study, ranging from 1 'strongly disagree' to 5 'strongly agree' is applied on a face-to-face basis. Because of some unfilled and wrong filled questionnaires, the statistical analyses were applied to over 440 questionnaires. Drivers attitudes and behaviors and the behavior types whether they do or they exposure, on their feelings and determinations of themselves as a driver were examined via CHAID and Multi Dimensional Scaling Analysis. SPSS Software is used to perform the statistical analysis. Some of the important results of the analysis showed that drivers who feel themselves aggressive while driving, determine themselves as drivers since they were born. Physical attack / fighting: as a behavior that they were exposed to was also found significant on the variable of determining themselves as how driver they are.
Citation - Scopus: 2
"Literally I Grew Up" Secondary-Tertiary Transition in Mathematics for Engineering Students Beyond the Purely Cognitive Aspects
(De Gruyter Open Ltd, 2023) Vinerean, Mirela C.; Liljekvist, Yvonne Elisabeth; Bengu, Elif
High dropout rates in the first year of undergraduate studies are an expression of the secondary-tertiary transition problem and they seem to be particularly high in those degree programs where specialized mathematics courses are taught in the first year of study. Research shows that students' difficulties during the transition period cannot be reduced to purely cognitive factors. In this article, we address the secondary-tertiary transition problem in mathematics for engineering students. Based on a questionnaire with focus beyond the purely cognitive aspects, a comparison of the transition problem at three European mid-sized universities is carried out, to identify common challenges and difficulties, as well as differences. The questionnaire concentrates on the four dimensions (personal, organizational, content related, and social) and corresponding critical requirements for a successful transition described in Trautwein, C., & Bosse, E. (2017). The first year in higher education - critical requirements from the student perspective. Higher Education, 73, 371-387. A group of 308 first-year engineering students partook in the study. In the presentation, we highlight students' perceptions regarding the transition, changes, and challenges they experienced under the above-mentioned four dimensions and discuss similarities and differences between countries. © 2023 Elsevier B.V., All rights reserved.
Effect of Ambient Temperature on the Flexural Behavior of 3D Printed Composite Beams
(Soc. for the Advancement of Material and Process Engineering Janie@sampe.org, 2018) Yildirim, Afsin Talha; Eroglu, Fatih; Yesilyurt, Ogulcan; Albayrak, Kubilay; Sas, Hatice Sinem; Çiftçi, Cihan
Adaptation of the additive manufacturing technology with 3D printers may lead to a new track in the manufacturing of composite materials. This additive manufacturing technology aims to mitigate manufacturing challenges and related design limitations of traditional composite manufacturing methods. The implementation of 3D printing of composite materials has the potential of decreasing the material cost by developing scientific methodologies to understand and optimize this printing process. This study focuses on understanding the flexural behavior of 3D printed composite beam elements and providing material data of both matrix and reinforcement components of composite materials. In this study, the flexural performance at different thermal conditions is experimentally investigated. This investigation involves the effect of the matrix material with and without short-fiber reinforcements for a specified fiber placement in the beam and fiber filaments placement in compression and tension sides of the composite beam elements along with the ambient temperature change. © 2018 Elsevier B.V., All rights reserved.
COVID-19 Uzaktan Eğitim Sürecinde Öne Çıkan Faktörler: Bir Devlet Üniversitesi Örneği
(2022) Lloyd, Fatma Armağan Teke; Türk, Umut; Bengu, Elif
Uzaktan eğitim uygulamaları üzerine Türkiye’nin ve diğer ülkelerin deneyimi oldukça köklüdür; fakat, COVID-19 dönemindeki uzaktan eğitim, tam hazırlık yapılamadan örgün eğitimin tamamen yerini aldığı bir süreç olmuştur. Bu çalışma, Anadolu’da acil uzaktan eğitim sürecini görece başarılı yöneten bir devlet üniversitede yürütülmüştür. Çalışmanın amacı COVID-19 uzaktan eğitim sürecinde öğrencilerin deneyimlerini etkileyen sosyo-ekonomik faktörler ile birlikte öğrencilerin uzaktan eğitim sürecine dair algılarını, zorlandıkları ve/veya olumlu buldukları yönleri tespit etmeyi amaçlamıştır. Makalenin bir diğer önemli çıktısı da uzaktan eğitim sürecinde öğrencilerin motivasyonu ve başarısında fark yaratan sosyo-ekonomik ve toplumsal cinsiyet temelli faktörler olmuştur. Araştırmada 484 öğrenci ile anket ve 3 adet odak grup çalışması yapılmış, sonuçlar tanımlayıcı şekilde makalede paylaşılmıştır. Sonuçların, acil uzaktan öğrenme dönemine görece olarak hazırlıksız yakalanan yüksek öğrenim kurumlarına, öğrenci algısını ve deneyimini anlamaları açısından bir kaynak olması beklenmektedir. Aynı zamanda, çalışma ile uzaktan eğitimde ‘hassas /kırılgan’ öğrenci gruplarının tespitinin yapılması ve uzaktan eğitim sürecinde öğrencileri etkileyen sosyo-ekonomik eşitsizliklerin ortaya konması amaçlanmaktadır

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