23 10 1981 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 Haroon Rashid Hammood Al Dallal Wijdan Noaman Marzoog Al Mukhtar Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-10 Description An account of the resource Protecting and concealing sensitive data in the modern world is challenging. Due to insufficient protection and privacy, it is feasible for critical information to be fabricated. This led to a significant financial loss for someone. The intended recipient must be trusted with sensitive information and be able to independently authenticate the accuracy of the information by independently checking the specifics. There are several driving the rise in QR codes used for information transmission. Due to their enormous capacity for storing information, QR codes are vital for dissemination. However, most currently deployed QR code solutions employ insecure data formats and never employ encryption. Secure QR Code is data protection and data concealing available technology. The Quick Response (QR) code is widely used and accessible without extensive technical training. Now, the user data stored in a QR code is effectively public knowledge and occasionally even illegally used. To address the abovementioned issues, this study's authors propose a novel QR code encryption system. Using the image's mathematical processing method, we may apply the equivalence class principle to the ordered equations of the two-dimensional code, producing the desired cryptographic result. This method exploits the unique visual properties of the QR code. Only a QR code reader can decode the code's useful information, which is too complex for standard reading methods. It will be utilised to address issues in speedy business client data protection Security, commodity anticounterfeiting, and bicycle sharing QR codes. 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/38777 10.3991/ijim.v17i09.38777 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/38777/13169 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Haroon Rashid Hammood Al Dallal , Wijdan Noaman Marzoog Al Mukhtar 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. 09 (2023); pp. 44-56 1865-7923 Subject The topic of the resource QR code, privacy protection, Multi-directional Identity Authentication, en-cryption system, Image symmetrical processing, data processing Title A name given to the resource A QR Code Used for Personal Information Based On Multi-Layer Encryption 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 Baseem G. Nsaif Adheed H. Sallomi Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-10 Description An account of the resource The importance of locating a mobile phone has increased significantly during last decade for security and commercial reasons. Locating the mobile phone leads to locating people. This is done by using the most common propagation models in the mobile phone network design to calculate the distance between the mobile phone and the base station, in addition to using positioning algorithms to predict the location of the mobile station. In this work, three telecommunication towers that provide mobile phone service for Zain Iraq were selected, located within the Mahmudiya area in Baghdad as a case study, and a test drive was conducted to measure the signal strength received from these base stations at more than 10 points located within the coverage area of these base stations. The Okumura-HATA model, and the UMTS propagation model were used to calculate the distances. The Gray-Wolf algorithm was used to improve mobile phone position prediction. 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/38773 10.3991/ijim.v17i09.38773 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/38773/13179 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Baseem G. Nsaif , Adheed H. Sallomi 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. 09 (2023); pp. 127-140 1865-7923 Subject The topic of the resource GWO, LBS, LOS, RSSI Title A name given to the resource Improving Mobile Location Prediction Using the Grey Wolf Optimization Algorithm 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 Rafeef A. Hameed Wael J. Abed Ahmed T. Sadiq Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-10 Description An account of the resource The subject of sentiment analysis through social media sites has witnessed significant development due to the increasing reliance of people on social media in advertising and marketing, especially after the Corona pandemic. There is no doubt that the prevalence of the Arabic language makes it considered one of the most important languages all over the world. Through human comments, it can know things if they are positive or negative. But in fact, the comments are many, and it takes work to evaluate the place or the product through a detailed reading of each comment. Therefore, this study applied deep learning approaches to this issue to provide final results that could be utilized to differentiate between the comments in the dataset. Arabic Sentiment Analysis was used and gave a percentage for each positive and negative commentary. This work used eight methods of deep learning techniques after using Fast Text as embedding, except Ara BERT. These techniques are the transformer (AraBERT), RNN (Long short-term memory (LSTM), Bidirectional long-short term memory (BI-LSTM), Gated recurrent units (GRUs), Bidirectional Gated recurrent units (BI-GRU)), CNN (like ALEXNET, proposed CNN), and ensemble model (CNN with BI-GRU). The Hotel Arabic Reviews Dataset was utilized to test the models. This paper obtained the following results. In the Ara BERT model, the accuracy is 96.442%. In CNN, like the Alex Net model, the accuracy is 93.78%. In the suggested CNN model, the accuracy is 94.43%. In the suggested LSTM model, the accuracy is 95%. In the suggested BI-LSTM model, the accuracy is 95.11%. The accuracy of the suggested GRU model is 95.07%. The accuracy of the suggested BI-GRU model is 95.02%. The accuracy is 94.52% in the Ensemble CNN with BI-GRU model that has been proposed. Consequently, the AraBERT outperformed the other approaches in terms of accuracy. Because the AraBERT has already been trained on some Arabic Wikipedia entries. The LSTM, BI-LSTM, GRU, and BI-GRU, on the other hand, had comparable outcomes. 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/38755 10.3991/ijim.v17i09.38755 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/38755/13173 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Rafeef A. Hameed, Wael J. Abed, Ahmed T. Sadiq 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. 09 (2023); pp. 70-87 1865-7923 Subject The topic of the resource Arabic sentiment analysis, NLP, Deep Learning, embedding, CNN, RNN, AraBERT Title A name given to the resource Evaluation of Hotel Performance with Sentiment Analysis by Deep Learning Techniques 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 Raghad Abdulaali Azeez Abeer Salim Jamil Mohammed Salih Mahdi 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 User confidentiality protection is concerning a topic in control and monitoring spaces. In image, user's faces security in concerning with compound information, abused situations, participation on global transmission media and real-world experiences are extremely significant. For minifying the counting needs for vast size of image info and for minifying the size of time needful for the image to be address computationally. consequently, partial encryption user-face is picked. This study focuses on a large technique that is designed to encrypt the user's face slightly. Primarily, dlib is utilizing for user-face detection. Susan is one of the top edge detectors with valuable localization characteristics marked edges, is used to extract features vectors from user faces. Moreover, the relevance of the suggested generating key is led to a crucial role in security improvement by producing them as difficult to intruders. According to PSNR values, the recommended encryption algorithms provided an adequate outcome in the encryption, they had a lower encrypting duration and a larger encrypting impact. 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/38753 10.3991/ijim.v17i07.38753 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/38753/13011 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Raghad Abdulaali Azeez, Abeer Salim Jamil, Mohammed Salih Mahdi 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. 69-81 1865-7923 Subject The topic of the resource — Dlib, Partial encryption, Susan, User Face Title A name given to the resource A Partial Face Encryption in Real World Experiences Based on Features Extraction from Edge Detection 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 Zainab Hazim Ibrahim Ban Hassan Majeed Lina Fouad Jawad 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 Computer literacy is an urgent necessity for university students, given the rapid development in the means of communication in which we live in this era, and the flow of abundant information. Mainly on the computer in all administrative and academic transactions, where first of all the registration for the semester is done through the computer. Computer culture has many characteristics and advantages that distinguish it from other sciences, including the concept of computer culture that cannot be defined absolutely, and it is difficult to define its levels, because the specifications of the computer-educated individual differ from one individual to another, and from time to time also, you find it a luxury in a country What, and you find it necessary in another country. In order to measure and know the level of computer culture among university students, a computerized scale of (40) items with five multiple-choice alternatives were built. In order to know that they have the skills of searching for information electronically, a computerized scale of (21) items were prepared, and a five-point Likert scale was adopted. Results showed that they have computer literacy and therefore they have skills of searching for information electronically at all. 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/38751 10.3991/ijim.v17i07.38751 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/38751/13007 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Ban Hassan Majeed , Zainab Hazim Ibrahim , Lina Fouad Jawad 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. 47-57 1865-7923 Subject The topic of the resource Computer Literacy; Skills; Seeking for Information; Electronically; University; Students Title A name given to the resource Computer Literacy with Skills of Seeking for Information Electronically among University 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 Sabah Abdulazeez Jebur Abbas Khalifa Nawar Lubna Emad Kadhim Mothefer Majeed Jahefer 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 highest way to protect data from intruder and unauthorized persons has become a major issue. This matter led to the development of many techniques for data security, such as Steganography, Cryptography, and Watermarking to disguise data. This paper proposes an image steganography method using the Least Significant Bits (LSB) technique and XOR operator and a secret key, through which the secret key is transformed into a one-dimensional bit stream array, then these bits are XORed with the bits of the secret image. Multiple experiments have been performed to embed color and grayscale images inside cover media. In this work, the LSB technique is ideal in two ways: firstly, only the least significant one-bit (1bit) of each byte will store the embedded data, this method is named (1-LSB). Secondly, the four least significant bits of the right half-byte (4 bits) of each byte will store the embedded data, this method is named (4-LSB). Subjective and objective analyzes were performed for each LSB process. The subjective analysis is responsible for both HVS and histogram, whereas the objective analysis involved both PSNR and MSE 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/38737 10.3991/ijim.v17i07.38737 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/38737/13023 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Sabah Abdulazeez Jebur , Abbas Khalifa Nawar, Lubna Emad Kadhim, Mothefer Majeed Jahefer 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. 167-178 1865-7923 Subject The topic of the resource Image Steganography, Least Significant Bits, LSB, XOR operator. Title A name given to the resource Hiding Information in Digital Images Using LSB Steganography Technique 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 Zakaria, Mohamad Ikram Abdul Hanid, Mohd Fadzil Hassan, Roslizam Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-10 Description An account of the resource This study was conducted to identify elements (teaching activities) that teachers can engage with involving a combination of M-learning methods with Problem-Based Learning methods (M-PBL). This study was conducted using the Nominal Group Technique (NGT) involving 11 experts with various fields of expertise such as mathematics education, educational technology, M-learning, pedagogy and the curriculum as well as primary school mathematics education teachers. The analysis of the findings was carried out using descriptive statistics (percentages) to determine the priority and ranking for each teaching activity. The findings show that overall, there are 30 relevant M-PBL teaching activities that can be carried out by teachers. The findings also show that teachers sharing the learning objectives that the pupils need to achieve using learning applications that are available on mobile devices (98%) ranked first while the teacher classifying the information obtained from each group according to priority through learning applications available on mobile devices (75%) ranked last. In conclusion, this study shows that both methods can be combined to form a new teaching method in the current 4.0 education era. 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/38663 10.3991/ijim.v17i09.38663 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/38663/13163 Rights Information about rights held in and over the resource Copyright (c) 2023 Mohamad Ikram Zakaria, Mohd Fadzil Abdul Hanid, Roslizam Hassan 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. 09 (2023); pp. 4-19 1865-7923 Subject The topic of the resource m-learning problem based learning nominal group technique Title A name given to the resource Combination of M-learning with Problem Based Learning: Teaching Activities for Mathematics Teachers 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 Wail Nourildean, Shayma Mohammed, Yousra Abd 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 Internet of Things (IoT) is an interconnected network of electronic objects, machines, and physical items in our environment. Wireless Sensor Network is the key component of Internet of Things. Wi-Fi is used by IoT to link home appliances to the internet so that they may be managed and controlled remotely. Sensors were used in WSN technology to sense and gather data from various smart home components, then send it to a gateway. In this paper, the performance of IoT based WSN had been examined when the Jammers interfered with the normal operation of the network and caused deficiency in network from the delay, throughput and data dropped points of view which they are important parameters to examine the performance of any network. The aim of this paper is to improve the degradation in performance caused by Jammers using three Ad Hoc routing protocols (AODV, OLSR and GRP) in number of different Riverbed Modeler Simulation scenarios for different audio and video applications. The results showed that the Ad Hoc routing protocols played a significant role in network performance. AODV had been investigated a better delay and data dropped improvement with acceptable throughput improvement while OLSR had the best throughput among other routing protocols with acceptable improvement in delay and data dropped. According to the research, an intelligent system should be used to decide whether a route is used for applications with a high throughput requirement or low delay and data loss. 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/38587 10.3991/ijim.v17i07.38587 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/38587/13019 Rights Information about rights held in and over the resource Copyright (c) 2023 Shayma Wail Nourildean, Yousra Abd Mohammed 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. 133-147 1865-7923 Subject The topic of the resource WSN, IoT, Ad-Hoc, Riverbed, QoS, Jammers Title A name given to the resource IoT based Wireless Sensor Network Improvement Against Jammers Using Ad-Hoc Routing Protocols 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 Byrne, Jason Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-22 Description An account of the resource Learner analytic driven research concerned with mobile app learner survivability. An app was developed to indicate productiveness of quiz app usage for global mobile assisted language learning (MALL). The research focused on inhibiting and optimizing effects of level length on total questions answered. How many questions per level leads to the highest total unique questions being answered? The research focused on nine-day cohort timeframes and included three phases: a small-scale pilot study to establish parameters, an exploratory stage undertaken within the parameters and finally the use of a quadratic regression predictive model. The null hypothesis (H0) was rejected. A one-way analysis of variance found a statistically significant difference in the mean productivity of the lengths.  Results of a Tukey post hoc test (p < .05) suggests question sets with less than eight questions, or more than 15 questions, appear to inhibit MALL autonomous learning. Optimal level question sets appear to be between lengths 8-14. The results visually encapsulated by a quadratic regression model broadly support H1 and H2. Set 12 is the statistically most significant optimal load. Gains of up to 107% are reported for switching from suboptimal to optimal approaches. 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/38417 10.3991/ijim.v17i10.38417 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/38417/13211 Rights Information about rights held in and over the resource Copyright (c) 2023 Jason Richard Byrne 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. 10 (2023); pp. 47-68 1865-7923 Subject The topic of the resource Facilitation of M-Learning Games Learner analytics Mobile language learning Productive learning Technology enhanced learning Title A name given to the resource A Determinant of Optimal and Inhibited Mobile Language Learning Activity: Quiz Level Length 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 Mykytiuk, Svitlana Lysytska, Olena Chastnyk, Oleksandr Mykytiuk, Serhii 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 research studied the effectiveness of the digital passion project activity for developing oral presentation skills of undergraduate students learning English as a foreign language in online education in emergencies. Considering the basic intervention principles suggested by psychologists for students affected by disasters and mass violence circumstances, the researchers conducted a quasi-experiment exploiting the recognized potential of the passion project to build a positive emotional environment and encourage more efficient learning. The findings revealed that experimental group students outperformed control group students in the four out of five aspects of the rubric applied (content, coherence and cohesion, vocabulary richness and adequacy, and grammatical correctness). The results can be attributed to the observed increased creativity, inquisitiveness, engagement in learning, and self-efficacy as well as to the project marketplace method applied at the initial stage. The passionate involvement in the project was proved by the survey administered to check student’s level of passion during the work on the passion project. 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/38397 10.3991/ijim.v17i07.38397 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/38397/13013 Rights Information about rights held in and over the resource Copyright (c) 2023 Svitlana Mykytiuk, Olena Lysytska, Oleksandr Chastnyk, Serhii Mykytiuk 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. 82-96 1865-7923 Subject The topic of the resource engagement passion project academic performance self-efficacy education in emergencies Title A name given to the resource Digital Passion Projects for Online Education in Emergencies Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article