11 10 3575 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 Abdul-Hameed, Taghareed Hunaiti, Ziad Sedoyeka, Eliamani Date A point or period of time associated with an event in the lifecycle of the resource 2009-07-16 Description An account of the resource the main aim of campus network is to efficiently separate, share and access knowledge among its users. The big demand of such systems of distributed knowledge networks is to be able to handle advanced applications which are the end-user requirements. The main goal of this study is to assess the ability of WLAN campus to dealing with applications request of end users in education establishments and network achievement under different conditions of operation. The study has been conducted in two stages: the first stage was accomplished by conducting a survey, using the Student Village network at Anglia Ruskin University as a case study; the main aim was to determine end-use requirements, gather information about the nature applications running by users and get a view about the likely future applications. The second stage was achieved by conducting experiments to evaluate the WLAN campus network performance under various different scenarios: impact of handover from Access Point (AP) to another AP on end-user link performance, network performance in different usage time and network performance in different weather conditions. 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/866 10.3991/ijim.v3i4.866 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/866/1073 Rights Information about rights held in and over the resource Copyright (c) 2017 Taghareed Abdul-Hameed, Ziad Hunaiti, Eliamani Sedoyeka Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 No. 4 (2009); pp. 41-46 1865-7923 Subject The topic of the resource VoIP VPN WLAN Title A name given to the resource A Study of WLAN Campus in an Educational Establishment Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 Bargarai, Faiq A. Mohammed Abdulazeez, Adnan Mohsin Tiryaki, Volkan Müjdat Zeebaree, Diyar Qader Date A point or period of time associated with an event in the lifecycle of the resource 2020-08-14 Description An account of the resource The wireless communication system was investigated by novel methods, which produce an optimized data link, especially the software-based methods. Software-Defined Radio (SDR) is a common method for developing and implementing wireless communication protocols. In this paper, SDR and artificial intelligence (AI) are used to design a self-management communication system with variable node locations. Three affected parameters for the wireless signal are considered: channel frequency, bandwidth, and modulation type. On one hand, SDR collects and analyzes the signal components while on the other hand, AI processes the situation in real-time sequence after detecting unwanted data during the monitoring stage. The decision was integrated into the system by AI with respect to the instantaneous data read then passed to the communication nodes to take its correct location. The connectivity ratio and coverage area are optimized nearly double by the proposed method, which means the variable node location, according to the peak time, increases the attached subscriber by a while ratio 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/14211 10.3991/ijim.v14i13.14211 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/14211/7681 Rights Information about rights held in and over the resource Copyright (c) 2020 Faiq A. Mohammed Bargarai, Adnan Mohsin Abdulazeez, Volkan Müjdat Tiryaki, Diyar Qader Zeebaree Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 13 (2020); pp. 107-133 1865-7923 Subject The topic of the resource SDR artificial intelligence connectivity and coverage area Title A name given to the resource Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio 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 Abdulazeez, Adnan Mohsin Salim, Baraa Wasfi Zeebaree, Diyar Qader Doghramachi, Dana Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-10 Description An account of the resource The key point of this paper is to assess and look over the top of the line network layer-based VPN (Virtual Private Network) protocols because data link layer is hardly ever found to be in use in organizations, the reason is because of its exceedingly high charge. Virtual Private Network (VPN) is commonly used in business situations to provide secure communication channels over public infrastructure such as Internet. Virtual Private Networks (VPNs) provide a secure encrypted communication between remote networks worldwide by using Internet Protocol (IP) tunnels and a shared medium like the Internet. The paper follows and sets standards for different types of protocols and techniques, the VPN (Virtual Private Network) architectural feature is made to deliver dependable and safe network that is not in line with regular networks that provide a higher trust and a higher secure channel between user and organization. The current study took place to summaries the usage of existing VPNs protocol and to show the strength of every VPN. Through different studies that have been made by other researchers as well as an extra focus on the state of art protocol, Wire guard. It is also worthy to mention that wire guard compared with other protocols such as IPsec and GRE. The studies show the WireGuard being a better choice in terms of other well-known procedures to inaugurate a secure and trusted VPN. 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/16507 10.3991/ijim.v14i18.16507 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/16507/8139 Rights Information about rights held in and over the resource Copyright (c) 2020 Adnan Mohsin Abdulazeez, Baraa wasfi Salim, Diyar Qader Zeebaree, Dana Doghramachi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 157-177 1865-7923 Subject The topic of the resource VPN IPsec GRE WireGuard Protocol Security TUNNEL IKpsk2 VPN PERFORMANCE. Title A name given to the resource Comparison of VPN Protocols at Network Layer Focusing on Wire Guard Protocol 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 Samann, Fady Esmat Fathel Abdulazeez, Adnan Mohsin Askar, Shavan Date A point or period of time associated with an event in the lifecycle of the resource 2021-06-18 Description An account of the resource Internet of Things (IoT) systems usually produce massive amounts of data, while the number of devices connected to the internet might reach billions by now. Sending all this data over the internet will overhead the cloud and consume bandwidth. Fog computing's (FC) promising technology can solve the issue of computing and networking bottlenecks in large-scale IoT applications. This technology complements the cloud computing by providing processing power and storage to the edge of the network. However, it still suffers from performance and security issues. Thus, machine learning (ML) attracts attention for enabling FC to settle its issues. Lately, there has been a growing trend in utilizing ML to improve FC applications, like resource management, security, lessen latency and power usage. Also, intelligent FC was studied to address issues in industry 4.0, bioinformatics, blockchain and vehicular communication system. Due to the ML vital role in the FC paradigm, this work will shed light on recent studies utilized ML in a FC environment. Background knowledge about ML and FC also presented. This paper categorized the surveyed studies into three groups according to the aim of ML implementation. These studies were thoroughly reviewed and compared using sum-up tables. The results showed that not all studies used the same performance metric except those worked on security issues. In conclusion, the simulations of proposed ML models are not sufficient due to the heterogeneous nature of the FC paradigm. 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/21313 10.3991/ijim.v15i12.21313 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/21313/9415 Rights Information about rights held in and over the resource Copyright (c) 2021 Fady Esmat Fathel Samann, Adnan Mohsin Abdulazeez Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 12 (2021); pp. 21-46 1865-7923 Subject The topic of the resource Fog Computing Machine Learning IoT Optimization Title A name given to the resource Fog Computing Based on Machine Learning: A Review 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 Alghafis, Aseel Alrasheed, Atheer Abdulghany, Amal Date A point or period of time associated with an event in the lifecycle of the resource 2020-06-30 Description An account of the resource Nowadays, e-learning management systems are used in many universities around the world. In Saudi Arabia, universities use several systems such as Moodle and Blackboard. However, only little empirical research has been conducted on Saudi students’ preference for such systems. This study compared the usability of Moodle and Blackboard systems among Saudi university students. Specifically, three comparison metrics have been considered: user interface, download and upload service and materials organization. The results showed that the students preferred Moodle and believed that it is more usable than Blackboard in all studied metrics. 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/14381 10.3991/ijim.v14i10.14381 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/14381/7359 Rights Information about rights held in and over the resource Copyright (c) 2020 Dina M. Ibrahim Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 10 (2020); pp. 159-165 1865-7923 Subject The topic of the resource E-learning Learning Management Systems Usability Title A name given to the resource A Study on the Usability of Moodle and Blackboard – Saudi Students Perspectives Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Non-refereed 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 Qasim, Mustafa Moosa Abdulkareem, Ali Raad Abdulhamed, Mohamed Abdulrhman Zulkifli, Abdul Nasir Date A point or period of time associated with an event in the lifecycle of the resource 2020-10-13 Description An account of the resource Most postgraduate students intend to complete their study successfully. Yet, they might face fear of failure or fear of facing examiners during thevivasession.A viva session has been noted to be mysterious, unpredictable, and potentially frightening to somestudents, particularly to students whose English is their second language.Some of these students might consider themselves to have  low ability in expressing their words thus lacking in confidence to facean oral assessment.These students, however, can prepare well for a viva session by rereading their thesis, arranging for a mockviva, and practicing debating their work with a senior student. This paper attempts to present a new way of viva preparation by means of a virtual viva simulator (V2Sim). This V2Sim is based on a virtual reality approach that usesan avatar as an examiner. This study aims to design and developa V2Sim to providearepeatablecoaching for a viva session at no cost. The implementation ofthe V2Sim involved three phases: identification of research problem, design and development, and evaluation. The study aspires to examine the experience of postgraduate students using the new technique. For this purpose, a combination of interviews and an experimental method were adopted to evaluate the V2Sim coachingamong 30 PhD students. Interpretive outcomes from this study suggest that the V2Sim coachingis a novel tool for assessing learning outcomes for a viva voce session and for improving students’ skills. Based on these findings, implications for the adoption of V2Sim coachingas an assessment method are discussed, among which the improvement of the experience of viva-voce session in the future. 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/16637 10.3991/ijim.v14i17.16637 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/16637/8015 Rights Information about rights held in and over the resource Copyright (c) 2020 Mustafa Moosa Qasim, Ali Raad Abdulkareem, Mohamed Abdulrhman Abdulhamed, Abdul Nasir Zulkifli Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 141-154 1865-7923 Subject The topic of the resource Viva voce Virtual Reality Virtual coaching Avatar Anxiety. Title A name given to the resource Viva Voce Coaching Using a Virtual Viva Simulator for Postgraduate Students 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 Alhisnawi, Mohammad Abdulhassan, Aladdin Date A point or period of time associated with an event in the lifecycle of the resource 2021-04-09 Description An account of the resource Content Centric Networking (CCN) is a modern architecture that got wide attention in the current researches as a substitutional for the current IP-based architecture. Many studies have been investigated on this novel architecture but only little of them focused on Pending Interest Table (PIT) which is very important component in every CCN router. PIT has fundamental role in packet processing in both upstream process (Interest packets) and downstream process (Data packets). PIT must be fast enough in order to not become an obstruction in the packet processing and also it must be big enough to save a lot of incoming information. In this paper, we suggest a new PIT design and implementation named CF-PIT for CCN router. Our PIT design depends on modifying and utilizing an approximate data structure called Cuckoo filter (CF). Cuckoo filter has ideal characteristics like: high insertion/query/deletion performance, acceptable storage demands and false positive probability which make it with our modification convenient for PIT implementation. The experimental results showed that our CF-PIT design has high performance in different side of views which make it very suitable to be implemented on CCN routers. 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/21149 10.3991/ijim.v15i07.21149 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/21149/9069 Rights Information about rights held in and over the resource Copyright (c) 2021 Ahmed J. obaid Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 07 (2021); pp. 140-153 1865-7923 Title A name given to the resource Designing Cuckoo Based Pending Interest Table for CCN Networks 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 Khattab M. Ali Alheeti Ali Azawii Abdu Lateef Abdulkareem Alzahrani Azhar Imran Duaa Al_Dosary Date A point or period of time associated with an event in the lifecycle of the resource 2023-06-07 Description An account of the resource The demand for better intrusion detection and prevention solutions has elevated due to the current global uptick in hacking and computer network attacks. The Intrusion Detection System (IDS) is essential for spotting network attacks and anomalies, which have increased in size and scope. A detection system has become an effective security method that monitors and investigates security in cloud computing. However, several existing methods have faced issues such as low classification accuracy, high false positive rates, and low true positive rates. To solve these problems, a detection system based on Support Vector Machine (SVM) is proposed in this paper. In this method, the SVM classifier is utilized for network data classification into normal and abnormal behaviors. The Cloud Intrusion Detection Dataset is used to test the effectiveness of the suggested system. The experimental results show which the suggested system can detect abnormal behaviors with high accuracy. 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/39063 10.3991/ijim.v17i11.39063 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/39063/13293 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Khattab M. Ali Alheeti, Ali Azawii Abdu Lateef, Abdulkareem Alzahrani, Azhar Imran, Duaa Al_Dosary https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 11 (2023); pp. 101-114 1865-7923 Subject The topic of the resource Detection system, Machine Learning; network intrusion detection; Cloud computing, SVM, Normal and abnormal behaviors. Title A name given to the resource Cloud Intrusion Detection System Based on SVM 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 Khattab M. Ali Alheeti Abdulkareem Alzahrani Maha Alamri Aythem Khairi Kareem Duaa Al_Dosary Date A point or period of time associated with an event in the lifecycle of the resource 2023-06-07 Description An account of the resource In the past decade, traditional networks have been utilized to transfer data between more than one node. The primary problem related to formal networks is their stable essence, which makes them incapable of meeting the requirements of nodes recently inserted into the network. Thus, formal networks are substituted by a Software Defined Network (SDN). The latter can be utilized to construct a structure for intensive data applications like big data. In this paper, a comparative investigation of Deep Neural Network (DNN) and Machine Learning (ML) techniques that uses various feature selection techniques is undertaken. The ML techniques employed in this approach are decision tree (DT), Naïve Bayes (NB), Support Vector Machine (SVM). The proposed approach is tested experimentally and evaluated using an available NSL–KDD dataset. This dataset includes 41 features and 148,517 samples. To evaluate the techniques, several estimation measurements are calculated. The results prove that DT is the most accurate and effective approach. Furthermore, the evaluation measurements indicate the efficacy of the presented approach compared to earlier studies. 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/39065 10.3991/ijim.v17i11.39065 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/39065/13297 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Khattab M. Ali Alheeti, Abdulkareem Alzahrani, Maha Alamri, Aythem Khairi , Duaa Al_Dosary https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 11 (2023); pp. 131-140 1865-7923 Subject The topic of the resource Software Defined Network (SDN); Deep Neural Network (DNN); Machine Learning (ML); NSL-KDD; Title A name given to the resource A Comparative Study for SDN Security Based on Machine Learning 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 Ahmed, Abubakar Mu'azu Abdullah , Nor Athiyah Husin, Mohd Heikal Bello, Hassan Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-05 Description An account of the resource The Massive open online courses (MOOCs) have been introduced over the past few decades to account for the twenty-first-era education and recent COVID-19 pandemic trials driven by the spread of internet-based technology on the internet. This research seeks to give an extended model investigating the intention to use MOOCs based on students at public universities in north-western Nigeria. The planned extended model, which extends the TAM, was tested via PLS structural equation modelling using data collected from 451 students at public universities in northwestern Nigeria. The research findings indicated that the proposed extended model delivers around is 72.0% descriptive effect and the creative technology acceptance TAM model. establishes strong signal for the effects of PU, PR, PEOU, SN, and TA on intentions to practice MOOCs technology among students at Nigerian public universities context. The pragmatic outcomes present practical implications and theoretical can be used for MOOCs developers with justifying the reasons as to why the usage of MOOCs is not high within public universities in North-ern-western Nigeria. The findings indicate PU, PEOU, PR SN, and TA, considerably impact students’ intention to use MOOCs. The research has theoretically provided insight into extended TAM in Nigerian learning environments to discover the issues influencing students' intents. The findings could practically enlighten administrators, instructors, developers, and policymakers in making informed decisions.  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/30093 10.3991/ijim.v17i07.30093 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/30093/13015 Rights Information about rights held in and over the resource Copyright (c) 2023 Abubakar Mu'azu Ahmed, Abdullah https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 07 (2023); pp. 97-117 1865-7923 Subject The topic of the resource Intention, MOOCs, University, Nigeria, COVID-19 Pandemic Title A name given to the resource Intention to Participate in MOOCs: Case of University Students in Northwestern Nigeria During COVID-19 Pandemic Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article