39 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 Anwar, Muhammad Hidayat, Hendra Yulistiowarno, Ika Puspa Budayawan, Khairi Zulwisli Osumah, Obaze Agbonluae Ardi, Zadrian Date A point or period of time associated with an event in the lifecycle of the resource 2022-07-26 Description An account of the resource Engineering education is an important part of preparing quality graduates for the challenges of the Covid-19 and post-pandemic conditions, and electronics engineering education is no exception. Blended learning-based projects as an alternative to innovative learning at this time. This study aims to explore and explain the application of blended learning-based projects in electronics engineering education courses. The research method used is a project-based product design and development carried out by blended learning. We conduct our project activities in higher education special students from Electronic Engineering Education that take part in the learning of this project. Students who participate are only limited to small groups to avoid the impact of the Covid-19 pandemic, in 1 small group consisting of 3-5 people and there is 1 group leader who manages the work, while other members are supportive and help complete joint projects. The results of this study show the ability of students to work by implementing project-based learning in producing products, namely Exhaust Fan products based on Electrostatic Precipitator (ESP) as a form of a mini prototype that can be used for small household scale industries. The ability of students to work on product manufacturing by applying the principles of project-based learning in the category already has the ability to, skilled and thoroughly working on the project that was planned until it succeeded in becoming a product prototype which was carried out in project-based blended 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/33307 10.3991/ijim.v16i14.33307 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/33307/11763 Rights Information about rights held in and over the resource Copyright (c) 2022 Muhammad Anwar, Hendra Hidayat, Ika Puspa Yulistiowarno, Khairi Budayawan, Zulwisli, Obaze Agbonluae Osumah, Zadrian Ardi 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. 16 No. 14 (2022); pp. 107-122 1865-7923 Subject The topic of the resource Blended Learning Project Electrostatic Precipitator Electronics Engineering Education Learning Innovation Title A name given to the resource Blended Learning Based Project In Electronics Engineering Education Courses: A Learning Innovation after the Covid-19 Pandemic 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 Mifrah, Sara Benlahmar, El Habib Date A point or period of time associated with an event in the lifecycle of the resource 2022-09-08 Description An account of the resource A Topic Model is a class of generative probabilistic models which has gained widespread use in computer science in recent years, especially in the field of text mining and information retrieval. Since it was first proposed, it has received a large amount of attention and general interest among scientists in many research areas. It allows us to discover the mix of hidden or "latent" subjects that differs from one document to another in a given corpus. But since topic modeling usually requires the prior definition of some parameters - above all the number of topics k to be discovered -, model evaluation is decisive to identify an "optimal" set of parameters for the specific data.  Latent Dirichlet allocation (LDA) and Bidirectional Encoder Representations from Transformers Topic (BerTopic) are the two most popular topic modeling techniques. LDA uses a probabilistic approach whereas BerTopic uses transformers (BERT embeddings) and class-based TF-IDF to create dense clusters. 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/33281 10.3991/ijim.v16i17.33281 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/33281/11953 Rights Information about rights held in and over the resource Copyright (c) 2022 Sara Mifrah 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. 16 No. 17 (2022); pp. 50-59 1865-7923 Subject The topic of the resource Topic Model Sentence-Level Machine Learning LDA BERT BERTopic Title A name given to the resource Topic Modeling with Transformers for Sentence-Level Using Coronavirus Corpus 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 Allam, Yousra Kaoud, Hebatalla Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-17 Description An account of the resource Social marketing would improve overall health, boost awareness, and cause be-havioral changes. Web 2.0 technologies have revolutionized the way people con-nect and communicate all around the world. This paper is the first paper to pre-sent the effect of a social marketing campaign, undertaken by the Egyptian gov-ernment, in addressing parental behavior. The nature of this work is exploratory, following a qualitative approach. This study adopted the case study research method. The authors collected data in two consecutive phases: 1) In-depth inter-views were held with social marketing experts who are in charge of this cam-paign 2) In-depth interviews were conducted with parents that marketers consider to be from their target audience because they have children who fall in the target’s age range. The study assesses the response of parents to this social marketing campaign and serves as a foundation for further research and discussion on social marketing discipline. 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/33275 10.3991/ijim.v16i15.33275 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/33275/11827 Rights Information about rights held in and over the resource Copyright (c) 2022 Yousra Allam, Hebatalla Kaoud 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. 16 No. 15 (2022); pp. 125-139 1865-7923 Subject The topic of the resource behavioral change positive parenting social impact web 2.0 technologies Title A name given to the resource Social Marketing for Social Change: The Case of Egyptian Social Marketing Campaign in Educating Positive Parental Behavior 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 Khalil, Z.H. Abbas, Amel H. Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-17 Description An account of the resource Different models had been developed to predict crop yields based on remotely sensed data. Most approaches were based on developing empirical relationships between the Satellite based Normalized difference vegetation index NDVI data and the crop yield. This article proposes to introduce methodological framework for constructing an object-oriented yield prediction model using satellite data based on the two-level regression models; with taken into consideration the trend caused by the influence of technological improvements. Regression models for the wheat and barley crop yield predictions have been developed for twenty-seven typical districts in the Voronezh region. The two-level regression model, including FSR technique firstly to select the set of features that reflect the spatial variations in crops, soil, agriculture management within districts, after carry out the steps of exploratory data analysis EDA, objects creation and zonal average of each object. Whereas the second level consist of yield prediction with multiple linear regression MLR, Least Absolute Shrinkage and Selection Operator Lasso, Support vector machines SVM techniques. The absolute error between the predicted and observed yields of 2011-2014 years was not exceed 19(16) centner/ha for wheat(barley) at worst case. In spite of that the SVM technique outperforms rest techniques by average RMSE of 5.59(4.51) for wheat(barley). 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/33269 10.3991/ijim.v16i15.33269 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/33269/11829 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi; Z.H. Khalil, Amel H. Abbas 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. 16 No. 15 (2022); pp. 140-156 1865-7923 Subject The topic of the resource Voronezh, Remote sensing, NDVI, Machine learning, Feature selection. Title A name given to the resource Object-oriented Model to Predict Crop Yield Using Satellite-based Vegetation Index 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 Abdulsattar Jaber , Tanya Date A point or period of time associated with an event in the lifecycle of the resource 2022-07-11 Description An account of the resource An interesting paradigm is a metaverse which represents the next generation of using the internet to improve human lives and provide a new way to communicate by building a system that let the user represented by their avatar to work, socialize and play virtually by integrating multiple technologies such as blockchain, artificial intelligence as well as virtual and augmented reality. However, this may preserve many problems related to the security and privacy of the system user starting from data breaches to identity theft, in this paper an overview of the metaverse world and the architecture that connects the virtual to the real world and discuss the main security and privacy risks within the Metaverse world 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/33187 10.3991/ijim.v16i13.33187 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/33187/11581 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider Th.Salim Alrikabi; Tanya Abdulsattar Jaber 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. 16 No. 13 (2022); pp. 4-14 1865-7923 Subject The topic of the resource metaverse, Meta, security of metaverse, the privacy of metaverse, metaverse is-sues Title A name given to the resource Security Risks of the Metaverse World 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 Salman, Saba Abdul-Baqi Sufyan Al-Janabi Sagheer, Ali Makki Date A point or period of time associated with an event in the lifecycle of the resource 2022-10-31 Description An account of the resource Improving the voting system has become a widely discussed issue. Paper-based elections are not safe because of the possibility of changing and adding ballots. Consequently, many countries use e-voting systems to ensure security, authenticity and time efficiency. Blockchain e-voting systems can be adopted to reduce fraud and increase voting access from home, especially in pandemics. This paper suggests a blockchain e-voting system that tackles two security and authentication issues. The security has been ensured using hybrid public-key cryptography; the voter information is encrypted using the regional election office elliptic public key, while the homomorphic public supreme election authority encrypts the vote. Using homomorphic encryption for voice enables the calculations of results as the authority encrypts it without revealing the vote itself. Authentication has been improved for home voting by a robust login system. This login system consists of two steps. In the first step, the voter enters the site using his unique QR code number scanned by webcam; in the second step, the system checks the voter's face using a face recognition system by web camera to be routed to the voting page. Voting public keys are also authenticated using a digital certificate schema. The system has been tested to show its efficiency and suitability in block establishment time and the encryption and key generator randomness using NIST tests.  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/33173 10.3991/ijim.v16i20.33173 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/33173/12163 Rights Information about rights held in and over the resource Copyright (c) 2022 Saba Abdul, Sufyan Al-Janabi 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. 16 No. 20 (2022); pp. 79-97 1865-7923 Subject The topic of the resource security, blockchain, e-voting system, blockchain e-voting Title A name given to the resource Valid Blockchain-Based E-Voting Using Elliptic Curve and Homomorphic Encryption 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 Batubara, Hamdan Husein Sumantri, Mohamad Syarif Marini, Arita Date A point or period of time associated with an event in the lifecycle of the resource 2022-09-08 Description An account of the resource This research aims to develop an Android-based e-textbook for a learning media course to enhance student learning outcomes. The learning media course was selected because students require an e-textbook to improve their comprehension of the criteria and creation techniques of learning media during online learning. This study utilized the research and development method with the 4D model created by Thiagarajan and Semmels. Six learning media expert validators tested the product’s feasibility, and the product’s effectiveness was tested on students through experiment research. Descriptive statistics and an eligibility criteria table were used to determine the product’s feasibility and usability. In addition, an independent sample t-test was used to determine the product’s effectiveness. According to the expert evaluation results, the product validity falls into the "very good" category (4.50 out of 5, or 90%) in aspects of language, presentation, appearance, and usefulness. The effectiveness test results indicated that the Android-based e-textbook significantly affects student learning outcomes. In addition, students’ perceptions of the usefulness, ease of use, and satisfaction of the Android-based e-textbook are also in the "very good" category (4.27 out of 5, or 85%). According to a qualitative data survey, students mentioned that the most useful aspects of the product were the tutorial videos, quizzes, menus, and page markers. Nevertheless, a few students experienced difficulties with their internet connection and reading limitations. 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/33137 10.3991/ijim.v16i17.33137 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/33137/11947 Rights Information about rights held in and over the resource Copyright (c) 2022 Hamdan Husein Batubara, Mohamad Syarif Sumantri, Arita Marini 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. 16 No. 17 (2022); pp. 4-19 1865-7923 Subject The topic of the resource Android based-textbook e-textbook digital textbook interactive textbook learning media textbook textbook development interactive e-book media course Title A name given to the resource Developing an Android-Based E-Textbook to Improve Learning Media Course 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 Ajallouda, Lahbib Fagroud, Fatima Zahra Zellou, Ahmed Benlahmar, El habib Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-31 Description An account of the resource The keyphrases of a document are the textual units that characterize its content such as the topics it addresses, its ideas, their field, etc. Thousands of books, articles and web pages are published every day. Manually extracting keyphrases is a tedious task and takes a lot of time. Automatic keyphrases extraction is an area of text mining that aims to identify the most useful and important phrases that give meaning to the content of a document. Keyphrases can be used in many Natural Language Processing (NLP) applications, such as text summarization, text clustering and text classification. This article provides a Systematic Literature Review (SLR) to investigate, analyze, and discuss existing relevant contributions and efforts that use new concepts and tools to improve keyphrase extraction. We have studied the supervised and unsupervised approaches to extracting keyphrases published in the period 2015-2022. We have also identified the steps most commonly used by the different approaches. Additionally, we looked at the criteria that should be evaluated to improve the accuracy of keyphrases extraction. Each selected approach was evaluated for its ability to extract keyphrases. Our findings highlight the importance of keyphrase extraction, and provide researchers and practitioners with information about proposed solutions and their limitations, which contributes to extract keyphrases in a powerful and meaningful way effective. 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/33081 10.3991/ijim.v16i16.33081 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/33081/11871 Rights Information about rights held in and over the resource Copyright (c) 2022 Lahbib AJALLOUDA, Phd Student Fatima Zahra Fagroud, Dr. Ahmed Zellou, Dr. El habib Benlahmar 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. 16 No. 16 (2022); pp. 31-58 1865-7923 Subject The topic of the resource Keyphrases extraction Systematic literature review Text mining Natural language processing Title A name given to the resource A Systematic Literature Review of Keyphrases Extraction Approaches 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 Soultana, Abdelfettah Benabbou, Faouzia Sael, Nawal Ouahabi, Sara Date A point or period of time associated with an event in the lifecycle of the resource 2022-08-31 Description An account of the resource In recent years, a significant increase in road accidents worldwide has been observed. This can partly be due to either driver distraction or fatigue. Therefore, a reliable alerting system that can detect the driver's inattention including fatigue, sleep, and distraction is necessarily required to prevent any potential accidents. The aim of this paper is to conduct a systematic review of literature (SLR) on monitoring driver inattention. In particular, the present study deals with different aspects of prior studies such as the sensors used; the types of data, the feature engineering techniques, the machine-learning techniques applied and their performance along with, the dataset used, etc. anotherFour approaches can be depicted from literature according to indicators they are based on: physiological, physical, driver performance and hybrid approach. We will focus on these different approaches in order to answer different questions, starting with the type of indicators used in the case of distraction or fatigue detection, the different datasets employed, the feature extraction techniques and the machine learning models applied. Furthermore, the study examines the practicality and reliability of each of the four approaches, as well as possible future prospects in the area, and highlights new challenges in the field of driver inattention detection with both forms of fatigue and distraction. 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/33075 10.3991/ijim.v16i16.33075 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/33075/11883 Rights Information about rights held in and over the resource Copyright (c) 2022 Abdelfettah SOULTANA, Faouzia BENABBOU , Nawal SAEL , Sara OUAHABI 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. 16 No. 16 (2022); pp. 160-189 1865-7923 Subject The topic of the resource driver inattention driver distraction driver fatigue driver drowsiness machine-learning deep-learning Systematic Literature Review Title A name given to the resource A Systematic Literature Review of Driver Inattention Monitoring Systems for Smart Car 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 Ismail Date A point or period of time associated with an event in the lifecycle of the resource 2022-09-08 Description An account of the resource This study aims to implement e-learning supported by social reality videos in a mobile application and explore its impact on improving student learning outcomes. This study used an experimental design (pretest-posttest control group design), two sample groups were used, they were the experimental and control groups. The experimental group was treated with e-learning supported by social reality videos in a mobile application, while the control group was given face-to-face learning and relied on the expository method. The number of research samples in each of the two groups was 28 students, they were students who took basic natural science courses at the Mandalika Education University. Pre-test and post-test were given with the same task in both groups. This study focuses on measuring student cognitive learning outcomes which are considered as the impact of induced learning in both treatment groups. Each learning outcome data was analyzed descriptively (analysis of average learning outcomes and n-gain), and statistical analysis (testing the hypothesis of differences in student learning outcomes between treatment groups), statistical analysis at a significance level of 0.05. In general, the results of the study shows that e-learning supported by social reality videos in a mobile application has a significant impact on improving student learning outcomes, and is found to be better than the expository method. We recommend its simultaneous use in regular lectures in the classroom. 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/33041 10.3991/ijim.v16i17.33041 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/33041/11951 Rights Information about rights held in and over the resource Copyright (c) 2022 Ismail 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. 16 No. 17 (2022); pp. 37-49 1865-7923 Subject The topic of the resource e-learning social reality video mobile application learning outcomes Title A name given to the resource The Implementation of E-Learning Supported by Social Reality Videos in Mobile Applications: Its Impact on Student’s Learning Outcomes Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article