48 10 1739 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ali, Javed Jusoh, Ahmad Idris, NorHalima Abbas, Alhamzah F. Alsharif, Ahmed H. Date A point or period of time associated with an event in the lifecycle of the resource 2021-09-20 Description An account of the resource The purpose of the study was to explore the developments in ‘e-services and e-service quality’ from 2000 to 2020. Data Source: Scopus database was used to conduct the bibliometric analysis of 404 documents. Method: VOSviewer soft-ware was used to analyse the research articles associated with ‘e-services and e-service quality’ research. Search was limited to keywords of ‘e-services OR e-service and e-service quality’. Findings: Results revealed that the field of ‘Busi-ness, Management and Accounting’ had the highest number of publications. To-tal Quality Management and Business Excellence was found at the top among the most productive journals in chosen search. Chang W.-I. and Yuan S.-T. from Taiwan were found to be the leading authors among top ten authors. United States and National Cheng Kung University of Taiwan were found to be the lead-ing country and institution in the selected search of e-service and e-service quali-ty. Originality/ Value: This study, to best of our knowledge, is the first of its kind in mapping the ‘e-services and e-service quality’ literature in Scopus. This will aid in shaping the central theme and set the future research directions for the researchers. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24519 10.3991/ijim.v15i18.24519 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24519/9965 Rights Information about rights held in and over the resource Copyright (c) 2021 Javed Ali, Ahmad Jusoh, NorHalima Idris, Alhamzah F. Abbas, Ahmed H. Alsharif Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 18 (2021); pp. 148-167 1865-7923 Subject The topic of the resource E-Services E-Service Quality Bibliometric Analysis Title A name given to the resource Everything is Going Electronic, so do Services and Service Quality: Bibliometric Analysis of E-Services and E-Service Quality Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Nurtanto, Muhammad Kholifah, Nur Ahdhianto, Erif Samsudin, Achmad Isnantyo, Fajar Danur Date A point or period of time associated with an event in the lifecycle of the resource 2021-11-09 Description An account of the resource Gamification has become a new trend in learning in the 21st century, by utilizing technology with game elements to change behavior and support learning outcomes. However, few researchers have focused on the comprehensive impact of gamification in helping researchers to better understand developments over the past few years. The ScienceDirect, Taylor and Francis, Springer, Wiley, and SAGE publisher databases were surveyed and a total of forty articles from 2016-2021, were selected for review. Data analysis using NVivo 12 Plush software, with Hierarchy Chart and Mind Map methods. The main findings indicate the positive impact of gamification on student behavior and learning outcomes, including affective, cognitive, behavioral, and performance or others. The researcher recommends the continuity of gamification on learning outcomes and behavior, that interface design and teacher cognitive abilities are strategies or successful learning. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24381 10.3991/ijim.v15i21.24381 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24381/10169 Rights Information about rights held in and over the resource Copyright (c) 2021 Muhammad Nurtanto, Nur Kholifah Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 22-36 1865-7923 Subject The topic of the resource gamification motivation engagement orientation knowledge affective outcomes Title A name given to the resource A Review of Gamification Impact on Student Behavioural and Learning Outcomes Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource M. Ali Alheeti, Khattab Alsukayti, Ibrahim Alreshoodi, Mohammed Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-23 Description An account of the resource Innovative applications are employed to enhance human-style life. The Internet of Things (IoT) is recently utilized in designing these environments. Therefore, security and privacy are considered essential parts to deploy and successful intelligent environments. In addition, most of the protection systems of IoT are vulnerable to various types of attacks. Hence, intrusion detection systems (IDS) have become crucial requirements for any modern design. In this paper, a new detection system is proposed to secure sensitive information of IoT devices. However, it is heavily based on deep learning networks. The protection system can provide a secure environment for IoT. To prove the efficiency of the proposed approach, the system was tested by using two datasets; normal and fuzzification datasets. The accuracy rate in the case of the normal testing dataset was 99.30%, while was 99.42% for the fuzzification testing dataset. The experimental results of the proposed system reflect its robustness, reliability, and efficiency. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24199 10.3991/ijim.v15i16.24199 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24199/9751 Rights Information about rights held in and over the resource Copyright (c) 2021 Khattab M. Ali Alheeti, Ibrahim Alsukayti, Mohammed Alreshoodi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 113-126 1865-7923 Subject The topic of the resource IDS IoT deep neural networks DDoS Bot-IoT. Title A name given to the resource Intelligent Botnet Detection Approach in Modern Applications Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alshahrani, Ali Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-23 Description An account of the resource SMS spam messages represent one of the most serious threats to current traditional networks. These messages have been particularly prevalent overseas and are harmful to various types of devices. The current filtering scheme employed in conventional systems is unable to expose a large number of messages. To resolve this issue, a new intelligent security system is proposed to reduce the number of spam messages. It can detect novel spam messages that have a direct and negative impact on networks. The proposed system is heavily based on machine learning to explore various types of messages. The primary achievement of our study is the increase in the accuracy ratio as well as the reduction in the number of false alarms. According to the experimental results, it is clear that our system can realize outstanding results, detecting a massive number of massages. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24197 10.3991/ijim.v15i16.24197 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24197/9749 Rights Information about rights held in and over the resource Copyright (c) 2021 Ali Alshahrani Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 52-62 1865-7923 Subject The topic of the resource security protection Internet SMS spam intrusion detection attacks. Title A name given to the resource Intelligent Security Schema for SMS Spam Message Based on Machine Learning Algorithms Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Al-zubidi, Azhar F. AL-Bakri, Nadia K. Hasoun, Rajaa Hassan Hashim, Soukaena Alrikabi, Haider Th.Salim Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-23 Description An account of the resource Various mobile applications such as Mobile Health (mHealth) have been developed and spread across the world which has played an important role in mitigating the Coronavirus pandemic (COVID-19). As the COVID-19 pandemic spreads, several people have drawn parallels to influenza. While both viruses cause respiratory infections, they propagate in very different ways. This has a major impact on the public health measures that can be used to fight each virus. These viruses are pandemic-causing in the same way. That is, they both cause respiratory disease, and can present themselves in several ways, ranging from asymptomatic to severe and deadly. A proposal is presented in this paper that uses two algorithms to define and classify these pandemics, they are: The Back Propagation (BP) classification algorithm and the Fuzzy C-Mean (FCM) clustering algorithm. Two stages are implemented in the proposed system: in the first step, the FCM algorithm is used to find out the type of virus, and this algorithm is capable of handling ambiguous features of viruses. In the second step, a BP neural network is used as a classifier to detect the pandemic class. The proposed system was trained and tested using a well-known dataset (covid-19 vs influenza). Information Gain (IG) is used to optimize the related features that affect the classification process to improve speed and accuracy.  The proposed mobile application is developed to support users easily detecting the COVID-19 infection by inputting the medical tests as significant features to the proposed system. The proposed system's accuracy is up to (89%), the framework was created using the Matlab programming environment and an Android Studio for Mobil application designing. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24195 10.3991/ijim.v15i16.24195 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24195/9753 Rights Information about rights held in and over the resource Copyright (c) 2021 Haider Th.Salim Alrikabi, Azhar Al-zubidi, Nadia F. AL-Bakri, Rajaa K. Hasoun, Soukaena Hassan Hashim Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 34-51 1865-7923 Subject The topic of the resource COVID-19 Fuzzy C-Mean (FCM) Propagation (BP) classification Information Gain (IG) Mobil Application Title A name given to the resource Mobile Application to Detect Covid-19 Pandemic by Using Classification Techniques: Proposed System Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Alzahrani, Abdulkareem M Ali Alheeti, Khattab Salah Thabit, Samer Al_Dosary, Duaa Shaban Al-Ani, Muzhir Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-23 Description An account of the resource The novel coronavirus (COVID-19) has become widespread around the world. It started in Wuhan, China, and has since spread rapidly among people living in other countries. Hence, the World Health Organization has considered COVID-19 as a pandemic that threatens millions of people’s lives. Due to the high number of infected people, many hospitals have been facing critical issues in providing the required medical services. For instance, some clinical centers have been unable to provide one of the most important medical services, namely blood tests to determine whether an individual is infected with COVID-19. Therefore, it is important to present an alternative diagnosis option to prevent the further spread of COVID-19. In this paper, a proposed intelligent detection communication system (IDCS) is configured for distributed mobile clinical centers to control the pandemic. In addition, the intelligent system is integrated with the Zigbee communication protocol to build a mobile COVID-19 detection system. The proposed system was trained on X-ray COVID-19 lung images used to identify infected people. The Zigbee protocol and decision tree algorithm were used to design the IDCS. The results of the proposed system show high accuracy 94.69% and accept results according to the performance measurements. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24193 10.3991/ijim.v15i16.24193 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24193/9741 Rights Information about rights held in and over the resource Copyright (c) 2021 Abdulkareem Alzahrani, Khattab M Ali Alheeti, Samer Salah Thabit, Duaa Al_Dosary, Muzhir Shaban Al-Ani Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 4-15 1865-7923 Subject The topic of the resource Artificial intelligence COVID-19 Decision tree algorithm Detection system. Title A name given to the resource Intelligent Mobile Coronavirus Recognition Centre Based on IEEE 802.15.4 Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Taha Ahmed, Shaymaa Malallah Kadhem, Suhad Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-23 Description An account of the resource — Chest imaging diagnostics is crucial in the medical area due to many serious lung diseases like cancers and nodules and particularly with the current pandemic of Covid-19. Machine learning approaches yield prominent results toward the task of diagnosis. Recently, deep learning methods are utilized and recommended by many studies in this domain. The research aims to critically examine the newest lung disease detection procedures using deep learning algorithms that use X-ray and CT scan datasets. Here, the most recent studies in this area (2015-2021) have been reviewed and summarized to provide an overview of the most appropriate methods that should be used or developed in future works, what limitations should be considered, and at what level these techniques help physicians in identifying the disease with better accuracy. The lack of various standard datasets, the huge training set, the high dimensionality of data, and the independence of features have been the main limitations based on the literature. However, different architectures of deep learning are used by many researchers but, Convolutional Neural Networks (CNN) are still state-of-art techniques in dealing with image datasets. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24191 10.3991/ijim.v15i16.24191 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24191/9745 Rights Information about rights held in and over the resource Copyright (c) 2021 Shaymaa Taha Ahmed, Suhad Malallah Kadhem Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 95-112 1865-7923 Subject The topic of the resource Lung Disease Machine Learning Deep Learning CT-Images CNN Covid-19 Title A name given to the resource Using Machine Learning via Deep Learning Algorithms to Diagnose the Lung Disease Based on Chest Imaging: A Survey Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Aameer Ibrahim, Isam Safa’a Mansour, Tahreer Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-23 Description An account of the resource The remarkable technology for seamless integration of wireless and optical networks is radio frequency signals over Free Space Optics (FSO). This research study and simulation examine the design and evaluation performance of Radio Frequency over FSO (RF-FSO) wireless communication technology. These systems are implemented through medium communication link ranges to overcome excessive sensitivity of atmosphere medium and meet the requirements of a wide variety of optical wireless applications. There are two ways to achieve the application of the design mentioned above. The first way is the application of the  Three modulation schemes of technology that is Amplitude shift keying (ASK), Quadrature amplitude modulation (QAM), and Quadrature phase-shift keying (QPSK) of digital modulation. The design of these modulation schemes is realized by using optiwave software to study the transmission of RF signals over the FSO channel and compare the three modulation techniques into the RF-FSO system. RF signals with the frequency range from (20 to 60) GHz is used in RF-FSO system and many carrier optical signals where the higher RF has a wider bandwidth to carrying larger information. To increase the transmission of data rates Wavelength Division Multiplexing (WDM) technology is used. The second way is based on a mathematical model which has been proposed for this study. This mathematical model calculates optimal beacon period (BI), and optimal listen interval (LI) to preventing the overlapping of time between the signals and the decrease in the required power. Using different weather conditions samples, the simulation results revealed that the best performance of the RF-FSO system is from link range, and the receiver is more sensitive. The simulation results are as follows: Two independent channels are transmitted 20 Gbps over ranges from (263 m to 6.55 km), while four channels are transmitted 40 Gbps over ranges from (257 m to 5.95 km), and eight independent channels transmit 80 Gbps over distance from (203 m to 5.2 km) Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24189 10.3991/ijim.v15i16.24189 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24189/9769 Rights Information about rights held in and over the resource Copyright (c) 2021 Isam Aameer Ibrahim, Tahreer Safa’a Mansour Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 79-94 1865-7923 Subject The topic of the resource Free Space Optics Radio Frequency Amplitude shift keying Quadrature ampli-tude modulation Quadrature phase shift keying Wavelength Division Multiplex-ing Power Management Title A name given to the resource Study and Simulation of Transporting Radio Frequency Signals over Free Space Optics for Achieving High Data Rate and Power Saving Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Malik ALattar, Ibrahim Monem S. Rahma, Abdul Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-23 Description An account of the resource This paper describes the development of encryption algorithms using the magic square of order 5 and Multi-level keys with the addition of Matrix keys to increase implementation speed and complexity. This work relied mainly on the magic sum and some equations that were added as an improvement on previous work. Multi-level keys were used for three different message sizes, and an additional key matrix with size 5×5 was used to add more complexity. The proposed work was performed using both GF(P) and GF(28). Results were compared with the MS3, they have been found good, with acceptable speed and high complexity where it was (P)9 × (256)16 in the first algorithm, (P)9 × (256)16 × 3 in the second algorithm, and (P)9 × (256)16 × 3 × (P)25 in the third algorithm, the complexity changed according to the chosen value of N randomness, in addition to speed, complexity, NIST calculations have been performed for texts and histogram calculations for different images were calculated and compared as well. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24187 10.3991/ijim.v15i16.24187 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24187/9755 Rights Information about rights held in and over the resource Copyright (c) 2021 Ibrahim Malik ALattar, Abdul Monem S. Rahma Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 63-78 1865-7923 Subject The topic of the resource Cryptography GF(28) GF(P) Magic Square Multi-level key. Title A name given to the resource A New Block Cipher Algorithm Using Magic Square of Order Five and Galois Field Arithmetic with Dynamic Size Block Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Hassan Majeed, Ban Fouad Jawad, Lina ALRikabi, Haider Th. Salim Date A point or period of time associated with an event in the lifecycle of the resource 2021-07-13 Description An account of the resource The research aims to know the impact of science, technology, engineering, and mathematics education on both creative thinking and mathematical achievement. To achieve it, the two researchers followed the quasi-experimental approach with an experimental design for two groups, one experimental and the other a control. The research sample consisted of (32) female students from the fourth scientific grade in Al-Intisar Preparatory School for Girls / Al-Rasafa, First Directorate. The sample was chosen intentionally and was divided into two groups: a control group studying by the traditional method, their number (16), and an experimental group that applied the STEM approach, their number also (16). There was parity between the two research groups in the variables (chronological age, previous achievement in mathematics, innovative thinking). The research tools consist of testing innovative thinking skills (fluency, flexibility, originality, relationships) and achievement tests. The research experiment was applied before and after. To test the validity of the hypotheses, data were collected and then statistically analyzed using appropriate statistical methods. The results of the research found that there were statistically significant differences in both the tests of innovative thinking and mathematical achievement in favor of the experimental group that studied according to the STEM approach, and in light of the results, the researchers recommended several recommendations and suggestions. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/24185 10.3991/ijim.v15i13.24185 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/24185/9553 Rights Information about rights held in and over the resource Copyright (c) 2021 Haider Th.Salim Alrikabi, Ban Hassan Majeed, Lina Fouad Jawad Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 172-188 1865-7923 Subject The topic of the resource STEM Introduction Innovative Thinking Mathematical Achievement Title A name given to the resource The Impact of Teaching by Using STEM Approach in The Development of Creative Thinking and Mathematical Achievement Among the Students of The Fourth Scientific Class Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article