85 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 Zanuddin, Hasmah Shaid, Nursyamira Date A point or period of time associated with an event in the lifecycle of the resource 2021-02-26 Description An account of the resource Online news media and social media applications recorded an unprecedented success in just few of the recent years. However, online news media and social media domain are still little understood in term of usage among aborigines or Orang Asli in Malaysia. Thus, this research is to see the social perceived value on social media and online news portal among Orang Asli. A quantitative research design is used based on data will be collected via questionnaire from Orang Asli at Kampung Batu 12, Gombak, Selangor, at the outskirt of Kuala Lumpur. Questionnaires were distributed to 50 Orang Asli aged 15 and above. Factor analysis was used to examined the data. Exploratory factor analysis was used to extracts new factor, Online media usage impact. The social values perceived (16 items) factor was examined. After identifying the component based on an examination of eigenvalues and scree plot, rotation was done by varimax method. The items with 0.5 loadings or greater are considered practically significant.  The findings showed that most of the Orang Asli gathered current information and news from the social media and social media is the gateway to online news portal. Furthermore, despite of financial circumstances, they willing to spend in order to have the internet access as it gave positive social values in their life, plus the applications internet access were all user friendly. 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/20189 10.3991/ijim.v15i04.20189 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/20189/8751 Rights Information about rights held in and over the resource Copyright (c) 2021 Hasmah Zanuddin, Nursyamira Shaid Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 04 (2021); pp. 61-72 1865-7923 Subject The topic of the resource Perceived Value Social Media Orang Asli Title A name given to the resource Social Perceived Value on Social Media and Online News Portal: Benefits to The Aborigines Women in Malaysia 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 Ali Hussien, Naseer Daleh Al-Magsoosi, Alaa Abdulhussein AlRikabi, Haider Th. Salim Theyab Abed, Faisal 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 One of the instrumental functional overheads in many commercial edifices and industrial plants is the electricity bill. The design and development of a Smart Power monitoring device used to make monitoring on the electrical parameters represented as voltage, current, and power of Wasit university buildings. The system has a unit with smart sensing to detect and control the electrical devices employed for daily activities by following different tariff rates. It has the capability to decrease consumer costs improving grid stability. A developed model was broadly examined and experimental results comparing these results with devices of conventional measuring. The Arduino based wireless powering meter is a non-invasive existing meter for domiciliary power with a WI-FI Connection. A split-core is used to measure the current transformers. 802.11b connection is a means for transmitting data through the home’s wireless router to the base station and monitoring web portal based on wireless sensor network. A clear projection for domestic data use is one of the aims of this project. By these data, it can supply estimation to consuming power. Optimizing and reducing power usage are the objectives of providing such data. 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/20183 10.3991/ijim.v15i07.20183 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/20183/9053 Rights Information about rights held in and over the resource Copyright (c) 2021 Haider Th.Salim Alrikabi, Naseer Ali Hussien, Alaa Abdulhussein Daleh Al-magsoosi, Faisal Theyab Abed Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 07 (2021); pp. 17-29 1865-7923 Subject The topic of the resource Monitoring device Power Consumption Internet of Things. Title A name given to the resource Monitoring the Consumption of Electrical Energy Based on the Internet of Things Applications Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Prasetyo, Mochammad Langgeng Wibowo, Achmad Teguh Ridwan, Mujib Milad, Mohammad Khusnu Arifin, Sirajul Izzuddin, Muhammad Andik Setyowati, Rr Diah Nugraheni Ernawan, Ferda Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-25 Description An account of the resource The implementation of face recognition technique using CCTV is able to prevent unauthorized person enter the gate. Face recognition can be used for authentication, which can be implemented for preventing of criminal incidents. This re-search proposed a face recognition system using convolutional neural network to open and close the real-time barrier gate. The process consists of a convolutional layer, pooling layer, max pooling, flattening, and fully connected layer for detecting a face. The information was sent to the microcontroller using Internet of Thing (IoT) for controlling the barrier gate. The face recognition results are used to open or close the gate in the real time. The experimental results obtained average error rate of 0.320 and the accuracy of success rate is about 93.3%. The average response time required by microcontroller is about 0.562ms. The simulation result show that the face recognition technique using CNN is highly recommended to be implemented in barrier gate system. 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/20175 10.3991/ijim.v15i10.20175 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/20175/9261 Rights Information about rights held in and over the resource Copyright (c) 2021 Mochammad Langgeng Prasetyo, Achmad Teguh Wibowo, Ferda Ernawan, Mujib Ridwan Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 10 (2021); pp. 138-153 1865-7923 Subject The topic of the resource barrier gate system convolutional neural network face recognition IoT Title A name given to the resource Face Recognition Using the Convolutional Neural Network for Barrier Gate 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 Abozeid, Amr AlHabshy, AbdAllah Adel ElDahshan, Kamal Date A point or period of time associated with an event in the lifecycle of the resource 2021-06-04 Description An account of the resource Security attacks become daily news due to an exposure of a security threat in a widely used software. Taking software security into consideration during the analysis, design, and implementation phases is a must. A software application should be protected against any security threat such as unauthorized distribution or code retrieval. Due to the lack of applying a software security standard architecture, developers may create software that may be vulnerable to many types of security threats. This paper begins by reviewing different types of known software security threats and their countermeasure mechanisms. Then, it proposes a new security optimization architecture for software applications. This architecture is a step towards establishing a standard to guarantee the software's security. Furthermore, it proposes an adapted software security optimization architecture for mobile applications. Besides, it presents an algorithmic implementation of the newly proposed architecture, then it proves its security. Moreover, it builds a secure mobile application based on the newly proposed architecture. 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/20133 10.3991/ijim.v15i11.20133 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/20133/9329 Rights Information about rights held in and over the resource Copyright (c) 2021 Amr Abozeid, AbdAllah Adel AlHabshy, Kamal ElDahshan Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 11 (2021); pp. 148-165 1865-7923 Subject The topic of the resource Reverse engineering Security architecture Security optimization Software protection Source code protection Title A name given to the resource A Software Security Optimization Architecture (SoSOA) and its Adaptation for Mobile Applications Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Lagstedt, Altti Dirin, Amir Williams, Päivi Date A point or period of time associated with an event in the lifecycle of the resource 2021-12-21 Description An account of the resource Constant changes in a business context and software development make it important to understand how software quality assurance (SQA) should respond. Examining SQA from supplier and client perspectives, this study explores how different groups of SQA practitioners perceive future needs. A survey (n = 93) conducted in fall 2017 explored the views of SQA organizations on future trends. The results indicate that SQA organizations differ slightly in their attitudes to quality categories, as do different groups of SQA practitioners. It is argued that these differences should be taken into account when developing and implementing future SQA strategy. It is further argued that the found basic enables SQA management, evaluation of new practices, and allocation of resources to ensure that all quality categories remain balanced 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/20123 10.3991/ijim.v15i24.20123 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/20123/10495 Rights Information about rights held in and over the resource Copyright (c) 2021 Altti Lagstedt, Amir Dirin, Päivi Williams 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. 15 No. 24 (2021); pp. 134-154 1865-7923 Subject The topic of the resource Software Quality Assurance Software Quality Strategy Software quality classifications Title A name given to the resource Quality Practitioners’ Differing Perspectives on Future Software Quality Assurance Practices 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 Dirin, Amir Saballe, Charlese Adriana Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-18 Description An account of the resource Selecting a proper study path in higher education is a difficult task for many students. They either have a lack of knowledge on the study path offered or are unsure of their interest in the various options. The current educational setups enable us to collect valid and reliable data on student success and learning behaviour. This study explores and solves the problem of what path to select by proposing possible study paths with the help of machine learning algorithms.  Learning analytics (LA) and educational data mining (EDM) are technologies that aid in the analysis of educational data. In this quantitative study, we applied a questionnaire to collect data from students at the Business Information Technology Department (Bite) at the Haaga-Helia University of Applied Science. We managed to collect 101 samples from students during 2017–2018. We used various machine learning algorithms and prediction models to assess the best approach for study path selection.  We applied three performance scores of accuracy, Cohen’s Kappa, and ROC curve to measure the accuracy of the algorithm results. KNIME analytics was selected as a proper tool to pre-process, prepare, analyse, and model the data. The results indicate that Random Forest (94% accuracy) and Decision Tree (93% accuracy) are the best classification models for students’ study path selection. The contribution of this study is for educational data mining research to assess the comparison of various algorithms. Furthermore, this is a novel approach to predict students’ study path selection, which educational institutes should develop to assist students in their study path selection. 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/20121 10.3991/ijim.v16i01.20121 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/20121/10563 Rights Information about rights held in and over the resource Copyright (c) 2021 Amir Dirin, Charlese Adriana Saballe 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. 01 (2022); pp. 158-183 1865-7923 Subject The topic of the resource educational data mining decision trees random forest and logistic regressions Title A name given to the resource Machine Learning Models to Predict Students’ Study Path Selection 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 Arifin, Moch. Bahak Udin By Sholeh, Makherus Hafiz, Abdul Agustin, Ririn Dwi Wardana, Mahardika Darmawan Kusuma Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-12 Description An account of the resource The research aimed to develop interactive multimedia based on scientific inquiry to improve student mathematics problem-solving as a provision for the era of Society 5.0. The research method used is the Agile Method, which is a software development method. This study involved 120 students from the first, second, to third years who were programming mathematics-related subjects at the Madrasah Ibtidaiyah Teacher Education department, Universitas Muhammadiyah Sidoarjo. The results of the development of Interactive Mobile Mathematics Inquiry (IMMI) were valid and proven to improve student problem-solving abilities. In particular, this increase is significant in planning and implementing student plans for a problem. The significance is due to the training in the inquiry aspects during the use of IMMI. The implication of this research in the field of educational technology is that IMMI can be a preliminary study and a pioneer for lecturers, experts, and practitioners to use and further develop IMMI to improve students' mathematical problem-solving skills at the tertiary level more broadly as preparation for media availability following the values of technological advances in the future Society 5.0 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/20067 10.3991/ijim.v15i01.20067 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/20067/8525 Rights Information about rights held in and over the resource Copyright (c) 2021 Moch. Bahak Udin By Arifin, Makherus Sholeh, Abdul Hafiz, Ririn Dwi Agustin, Mahardika Darmawan Kusuma Wardana Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 01 (2021); pp. 24-38 1865-7923 Subject The topic of the resource Interactive mobile mathematics problem solving Society 5.0 era Title A name given to the resource Developing Interactive Mobile Mathematics Inquiry to Enhance Students' Problem-solving Skill 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 Ayyal Awwad, Aiman Mamdouh Date A point or period of time associated with an event in the lifecycle of the resource 2021-07-28 Description An account of the resource Recently, the study of emotional recognition models has increased in the human-computer interaction field. With high recognition accuracy of emotions’ data, we could get immediate feedback from mobile users, get a better perception of human behavior while interacting with mobile apps, and thus make the user experience design more adaptable and intelligent. The harnessing of emotional recognition in mobile apps can dramatically enhance users’ experience. Therefore, in this paper, we propose a visual emotion-aware cloud localization user experience framework based on mobile location services. An important feature of our proposed framework is to provide a personalized mobile app based on the user’s visual emotional changes. The framework captures the emotion-aware data, process them in the cloud server, and analyze them for an immediate localization process. The first stage in the framework builds a correlation between the application’s default language and the user’s visual emotional feedback. In the second stage, the localization model loads the appropriate application’s resources and adjusts the screen features based on the real-time user’s emotion obtained in the first stage and according to the location data that the app collected from the mobile device. Our experiments demonstrate the effectiveness of the proposed framework. The results show that our proposed framework can provide a high-quality application experience in terms of a user’s emotional levels and deliver an excellent level of usability that was before not possible. 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/20061 10.3991/ijim.v15i14.20061 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/20061/9609 Rights Information about rights held in and over the resource Copyright (c) 2021 Aiman Mamdouh Ayyal Awwad Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 140-156 1865-7923 Subject The topic of the resource Emotion Recognition User Experience Cloud Localization Mobile Application Location-Based Services. Title A name given to the resource Visual Emotion-Aware Cloud Localization User Experience Framework Based on Mobile Location Services 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 Gan, Kok Beng Mohd, Syahril Amir Ng, Tze Yee Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-04 Description An account of the resource Traditional temperature monitoring system for blood delivery requires a USB cable to extract data after delivery has been completed. Without real-time temperature data during delivery, the quality of the products cannot be monitored efficiently. In this paper, we have designed and developed a mobile application-based temperature monitoring system for medical needs delivery. It has a mobile application to display temperature data in real-time. The system includes Arduino Uno, DHT22, DS3231, microSD card adapter and ESP8266 Wi-Fi module. The temperature and humidity data were stored in the microSD card and ThingSpeak server for further analysis. A mobile application allowed users to visualized and monitor the temperature of the payload during delivery. For the system test and evaluation purpose, the developed temperature monitoring system was placed inside a polystyrene box. The temperature and humidity data were acquired using DHT22 and Fluke t3000 fc in cold and ambient temperature for 30 minutes with a sampling time of 2 seconds in the polystyrene box. The results showed that the correlations error 0.96 and 1.00, respectively. Finally, we showed that the developed temperature monitoring system can capture and record temperature data in real-time. It is reliable and comparable to a high-end temperature monitor. 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/20039 10.3991/ijim.v15i09.20039 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/20039/9155 Rights Information about rights held in and over the resource Copyright (c) 2021 Kok Beng Beng Gan, Syahril Amir Mohd, Tze Yee Ng Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 09 (2021); pp. 103-117 1865-7923 Subject The topic of the resource temperature monitoring system location service blood delivery internet of things mobile application Title A name given to the resource Apps-Based Temperature Monitoring System with Location Services for Medical Needs Delivery Using Drone 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 Khan, Ijaz Muhammad Ahmad, Abdul Rahim Jabeur, Nafaa Mahdi, Mohammed Najah Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-11 Description An account of the resource One of the important key applications of learning analytics is offering an opportunity to the institutions to track the student’s academic activities and provide them with real-time adaptive consultations if the student academic performance diverts towards the inadequate outcome. Still, numerous barriers exist while developing and implementing such kind of learning analytics applications. Machine learning algorithms emerge as useful tools to endorse learning analytics by building models capable of forecasting the final outcome of students based on their available attributes. The machine learning algorithm’s performance demotes with using the entire attributes and thus a vigilant selection of predicting attributes boosts the performance of the produced model. Though, several constructive techniques facilitate to identify the subset of productive attributes, however, the challenging task is to evaluate if the prediction attributes are meaningful, explicit, and controllable by the students. This paper reviews the existing literature to come up with the student’s attributes used in developing prediction models. We propose a conceptual framework which demonstrates the classification of attributes as either latent or dynamic. The latent attributes may appear significant but the student is not able to control these attribute, on the other hand, the student has command to restrain the dynamic attributes. Each of the major class is further categorized to present an opportunity to the researchers to pick constructive attributes for model development. 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/20019 10.3991/ijim.v15i15.20019 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/20019/9655 Rights Information about rights held in and over the resource Copyright (c) 2021 Ijaz Muhammad Khan, Abdul Rahim Ahmad, Nafaa Jabeur, Mohammed Najah Mahdi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 4-19 1865-7923 Subject The topic of the resource Learning analytics Student performance prediction Academic analytics Machine learning Title A name given to the resource A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article