Modern Interfaces for Knowledge Representation and Processing Systems Based on Markup Technologies

The usage of markup technologies to specify knowledge to be processed according to a specific field of application is a common technique. Representation techniques based on markup language paradigm to describe various types of knowledge including graph based models is considered and details on using Knowledge Representation and Processing (KRP) Systems in education are presented. XML, and VoiceXML were selected to implement smart interface for KRP systems

Relation between digital gameplay and multipleintelligences profile of higher grade elementaryschool students

Дисертација пружа емпиријски утемељен иновативан и јединствен увид у везу играња дигиталних игара са профилом вишеструких интелигенција ученика виших разреда основе школе. Систематизован преглед литературе реализован у оквиру дисертације указује на чињеницу да се истраживачи слажу у ставу да су  дигиталне игре постале методички валидан образовни алат, али да постоји веома мали број емпиријских истраживања посвећених вези између играња дигиталних игара и профила вишеструких интелигенција ученика.   Истраживање је  реализовано на узорку од 1262 ученика узраста од 11 до 15 година из 22 школе у Србији. За потребе истраживања креирани су и евалуирани одговарајући психометријски инструменти. Анализирана је веза профила вишеструких интелигенција ученика виших разреда основне школе са склоностима и навикама играња дигиталних игара. Проучавана је могућност предикције префериране врсте дигиталних игара у зависности од профила вишеструких интелигенција и навика играња дигиталних игара. Утврђено је да је профил вишеструких  интелигенција валидан предиктор склоности, навика играња и идентификатор зависности од  дигиталних игара. Извршена је идентификација зависности од дигиталних игара и анализирана је њена повезаност са профилима вишеструких интелигенција. Анализирани су утицаји појединих социо- демографских фактора на склоности и навике играња дигиталних игара и зависност од дигиталних игара. У складу са циљем и задацима истраживања формиране су хипотезе, које су дискутоване и потврђене. На основу резултата утврђено је постојање везе играња дигиталних игара са профилом вишеструких интелигенција ученика виших разреда основе школе.Disertacija pruža empirijski utemeljen inovativan i jedinstven uvid u vezu igranja digitalnih igara sa profilom višestrukih inteligencija učenika viših razreda osnove škole. Sistematizovan pregled literature realizovan u okviru disertacije ukazuje na činjenicu da se istraživači slažu u stavu da su  digitalne igre postale metodički validan obrazovni alat, ali da postoji veoma mali broj empirijskih istraživanja posvećenih vezi između igranja digitalnih igara i profila višestrukih inteligencija učenika.   Istraživanje je  realizovano na uzorku od 1262 učenika uzrasta od 11 do 15 godina iz 22 škole u Srbiji. Za potrebe istraživanja kreirani su i evaluirani odgovarajući psihometrijski instrumenti. Analizirana je veza profila višestrukih inteligencija učenika viših razreda osnovne škole sa sklonostima i navikama igranja digitalnih igara. Proučavana je mogućnost predikcije preferirane vrste digitalnih igara u zavisnosti od profila višestrukih inteligencija i navika igranja digitalnih igara. Utvrđeno je da je profil višestrukih  inteligencija validan prediktor sklonosti, navika igranja i identifikator zavisnosti od  digitalnih igara. Izvršena je identifikacija zavisnosti od digitalnih igara i analizirana je njena povezanost sa profilima višestrukih inteligencija. Analizirani su uticaji pojedinih socio- demografskih faktora na sklonosti i navike igranja digitalnih igara i zavisnost od digitalnih igara. U skladu sa ciljem i zadacima istraživanja formirane su hipoteze, koje su diskutovane i potvrđene. Na osnovu rezultata utvrđeno je postojanje veze igranja digitalnih igara sa profilom višestrukih inteligencija učenika viših razreda osnove škole.Dissertation provides an empirically grounded innovative and unique insight into relations between digital gameplay and multiple intelligences profile. A systematic literature review that was realized in this dissertation points to thefact that researchers agree that digital games became methodically valid educational tool, but that there are very few empirical studies on relations between digital gameplay and multiple intelligences profile of the students. The research sample consisted of 1262 11-to-15- year-old students from 22 Serbian schools. The adequate psychometric instruments were developed and evaluated as part of the research. The relations between multiple intelligence profile of higher grade  elementary school students and their gameplay preferences and habits were analyzed. The possibility of predicting preferred digital games genre based on multiple  intelligences profile and digital gameplay was examined. It was found that the multiple intelligences profile is a valid predictor of digital gameplay preferences, habits and addiction. The digital games addiction was identified, and its relation with the structure of multiple intelligence profile was examined. The influence of socio-demographic factors on digital gameplay preferences, habits and addiction was analyzed. In accordance with the dissertation objectives and tasks the research hypotheses were formulated, and further discussed and confirmed. The results imply the existence of the relation between digital gameplay and multiple intelligences profile of higher grade elementary school students

Constructive Use of Errors in Teaching the UML Class Diagram in an IS Engineering Course

A class diagram is one of the most important diagrams of Unified Modeling Language (UML) and can be used for modeling the static structure of a software system. Learning from errors is a teaching approach based on the assumption that errors can promote learning. We applied a constructive approach of using errors in designing a UML class diagram in order to (a) categorize the students’ errors when they design a class diagram from a text scenario that describes a specific organization and (b) determine whether the learning-from-errors approach enables students to produce more accurate and correct diagrams. The research was conducted with college students (N = 45) studying for their bachelor’s degree in engineering. The approach is presented, and the learning-from-errors activity is illustrated. We present the students’ errors in designing the class diagram before and after the activity, together with the students’ opinions about applying the new approach in their course. Twenty errors in fundamental components of the class diagram design were observed. The students erred less after the activity of learning from errors. The displayed results show the relevance and potential of embedding our approach in teaching. Furthermore, the students viewed the learning-from-errors activity favorably. Thus, one of the benefits of our developed activity is increased student motivation. In light of the improved performance of the task, and the students’ responses to the learning-from-errors approach, we recommend that information systems teachers use similar activities in different fields and on various topics

Collected Papers (Neutrosophics and other topics), Volume XIV

This fourteenth volume of Collected Papers is an eclectic tome of 87 papers in Neutrosophics and other fields, such as mathematics, fuzzy sets, intuitionistic fuzzy sets, picture fuzzy sets, information fusion, robotics, statistics, or extenics, comprising 936 pages, published between 2008-2022 in different scientific journals or currently in press, by the author alone or in collaboration with the following 99 co-authors (alphabetically ordered) from 26 countries: Ahmed B. Al-Nafee, Adesina Abdul Akeem Agboola, Akbar Rezaei, Shariful Alam, Marina Alonso, Fran Andujar, Toshinori Asai, Assia Bakali, Azmat Hussain, Daniela Baran, Bijan Davvaz, Bilal Hadjadji, Carlos Díaz Bohorquez, Robert N. Boyd, M. Caldas, Cenap Özel, Pankaj Chauhan, Victor Christianto, Salvador Coll, Shyamal Dalapati, Irfan Deli, Balasubramanian Elavarasan, Fahad Alsharari, Yonfei Feng, Daniela Gîfu, Rafael Rojas Gualdrón, Haipeng Wang, Hemant Kumar Gianey, Noel Batista Hernández, Abdel-Nasser Hussein, Ibrahim M. Hezam, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Muthusamy Karthika, Nour Eldeen M. Khalifa, Madad Khan, Kifayat Ullah, Valeri Kroumov, Tapan Kumar Roy, Deepesh Kunwar, Le Thi Nhung, Pedro López, Mai Mohamed, Manh Van Vu, Miguel A. Quiroz-Martínez, Marcel Migdalovici, Kritika Mishra, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohammed Alshumrani, Mohamed Loey, Muhammad Akram, Muhammad Shabir, Mumtaz Ali, Nassim Abbas, Munazza Naz, Ngan Thi Roan, Nguyen Xuan Thao, Rishwanth Mani Parimala, Ion Pătrașcu, Surapati Pramanik, Quek Shio Gai, Qiang Guo, Rajab Ali Borzooei, Nimitha Rajesh, Jesús Estupiñan Ricardo, Juan Miguel Martínez Rubio, Saeed Mirvakili, Arsham Borumand Saeid, Saeid Jafari, Said Broumi, Ahmed A. Salama, Nirmala Sawan, Gheorghe Săvoiu, Ganeshsree Selvachandran, Seok-Zun Song, Shahzaib Ashraf, Jayant Singh, Rajesh Singh, Son Hoang Le, Tahir Mahmood, Kenta Takaya, Mirela Teodorescu, Ramalingam Udhayakumar, Maikel Y. Leyva Vázquez, V. Venkateswara Rao, Luige Vlădăreanu, Victor Vlădăreanu, Gabriela Vlădeanu, Michael Voskoglou, Yaser Saber, Yong Deng, You He, Youcef Chibani, Young Bae Jun, Wadei F. Al-Omeri, Hongbo Wang, Zayen Azzouz Omar

Computational Optimizations for Machine Learning

The present book contains the 10 articles finally accepted for publication in the Special Issue “Computational Optimizations for Machine Learning” of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence. These topics include, among others, various types of machine learning classes, such as supervised, unsupervised and reinforcement learning, deep neural networks, convolutional neural networks, GANs, decision trees, linear regression, SVM, K-means clustering, Q-learning, temporal difference, deep adversarial networks and more. It is hoped that the book will be interesting and useful to those developing mathematical algorithms and applications in the domain of artificial intelligence and machine learning as well as for those having the appropriate mathematical background and willing to become familiar with recent advances of machine learning computational optimization mathematics, which has nowadays permeated into almost all sectors of human life and activity

Factors Influencing Customer Satisfaction towards E-shopping in Malaysia

Online shopping or e-shopping has changed the world of business and quite a few people have decided to work with these features. What their primary concerns precisely and the responses from the globalisation are the competency of incorporation while doing their businesses. E-shopping has also increased substantially in Malaysia in recent years. The rapid increase in the e-commerce industry in Malaysia has created the demand to emphasize on how to increase customer satisfaction while operating in the e-retailing environment. It is very important that customers are satisfied with the website, or else, they would not return. Therefore, a crucial fact to look into is that companies must ensure that their customers are satisfied with their purchases that are really essential from the ecommerce’s point of view. With is in mind, this study aimed at investigating customer satisfaction towards e-shopping in Malaysia. A total of 400 questionnaires were distributed among students randomly selected from various public and private universities located within Klang valley area. Total 369 questionnaires were returned, out of which 341 questionnaires were found usable for further analysis. Finally, SEM was employed to test the hypotheses. This study found that customer satisfaction towards e-shopping in Malaysia is to a great extent influenced by ease of use, trust, design of the website, online security and e-service quality. Finally, recommendations and future study direction is provided. Keywords: E-shopping, Customer satisfaction, Trust, Online security, E-service quality, Malaysia

Collected Papers (on Neutrosophic Theory and Applications), Volume VI

This sixth volume of Collected Papers includes 74 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2015-2021 by the author alone or in collaboration with the following 121 co-authors from 19 countries: Mohamed Abdel-Basset, Abdel Nasser H. Zaied, Abduallah Gamal, Amir Abdullah, Firoz Ahmad, Nadeem Ahmad, Ahmad Yusuf Adhami, Ahmed Aboelfetouh, Ahmed Mostafa Khalil, Shariful Alam, W. Alharbi, Ali Hassan, Mumtaz Ali, Amira S. Ashour, Asmaa Atef, Assia Bakali, Ayoub Bahnasse, A. A. Azzam, Willem K.M. Brauers, Bui Cong Cuong, Fausto Cavallaro, Ahmet Çevik, Robby I. Chandra, Kalaivani Chandran, Victor Chang, Chang Su Kim, Jyotir Moy Chatterjee, Victor Christianto, Chunxin Bo, Mihaela Colhon, Shyamal Dalapati, Arindam Dey, Dunqian Cao, Fahad Alsharari, Faruk Karaaslan, Aleksandra Fedajev, Daniela Gîfu, Hina Gulzar, Haitham A. El-Ghareeb, Masooma Raza Hashmi, Hewayda El-Ghawalby, Hoang Viet Long, Le Hoang Son, F. Nirmala Irudayam, Branislav Ivanov, S. Jafari, Jeong Gon Lee, Milena Jevtić, Sudan Jha, Junhui Kim, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Songül Karabatak, Abdullah Kargın, M. Karthika, Ieva Meidute-Kavaliauskiene, Madad Khan, Majid Khan, Manju Khari, Kifayat Ullah, K. Kishore, Kul Hur, Santanu Kumar Patro, Prem Kumar Singh, Raghvendra Kumar, Tapan Kumar Roy, Malayalan Lathamaheswari, Luu Quoc Dat, T. Madhumathi, Tahir Mahmood, Mladjan Maksimovic, Gunasekaran Manogaran, Nivetha Martin, M. Kasi Mayan, Mai Mohamed, Mohamed Talea, Muhammad Akram, Muhammad Gulistan, Raja Muhammad Hashim, Muhammad Riaz, Muhammad Saeed, Rana Muhammad Zulqarnain, Nada A. Nabeeh, Deivanayagampillai Nagarajan, Xenia Negrea, Nguyen Xuan Thao, Jagan M. Obbineni, Angelo de Oliveira, M. Parimala, Gabrijela Popovic, Ishaani Priyadarshini, Yaser Saber, Mehmet Șahin, Said Broumi, A. A. Salama, M. Saleh, Ganeshsree Selvachandran, Dönüș Șengür, Shio Gai Quek, Songtao Shao, Dragiša Stanujkić, Surapati Pramanik, Swathi Sundari Sundaramoorthy, Mirela Teodorescu, Selçuk Topal, Muhammed Turhan, Alptekin Ulutaș, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Dan Valeriu Voinea, Volkan Duran, Navneet Yadav, Yanhui Guo, Naveed Yaqoob, Yongquan Zhou, Young Bae Jun, Xiaohong Zhang, Xiao Long Xin, Edmundas Kazimieras Zavadskas

Unapređenje sistema za e-učenje semantičkom nadgradnjom

Within this doctoral dissertation an enhancement to e-learning systems has been proposed and the evaluation of its impact in the context of real learning was performed. The proposed enhancement is based on coupling a notion-relation graph, in the RDF format, with the textual learning material, to enable semantic queries over the graph by dragging and droping the words in the text, in cases when the relation between two notions is unclear and still required for the student to continue learning, with the aim of reducing the need for notion definition searches (distractions). To evaluate the poposed enhancement efficiency an e-learning system simulation, learning text and questions were developed. 191 Faculty of Electronic Engineering students took part in the main experiment and 27 took part in the verification experiment that followed. The key results proved the basic hypotheses: the proposed enhancement significantly reduced the participants' need for searching within the text and their completion time, while it raised their preparedness to proceed with learning. Additional results gave insight into other effects of the proposed enhancement and will be used as guidelines for further development. All key results were confirmed by the verification experiment

Global information society watch 2007

This publication, the first in a series of reports covering the state of the information society on an annual basis, focuses on the theme of participation. The report has three interrelated goals: surveying the state of the field of ICT policy at the local and global levels; encouraging critical debate; and strengthening networking and advocacy for a just, inclusive information society. It discusses the WSIS process and a range of international institutions, regulatory agencies and monitoring instruments from the perspective of civil society and stakeholders in the global South. The..