Aim/Purpose: This paper investigates the influence of university student multitasking on their learning success, defined as students’ learning satisfaction and performance. Background: Most research on student multitasking finds student multitasking problematic. However, this research is generally from 2010. Yet, today’s students are known to be digital natives and they have a different, more positive, relationship with mobile technologies. Based on the old findings, most instructors ban mobile technology use during instruction, and design their online courses without regard for the mobile technology use that happens regardless of their ban. This study investigates whether today’s instructors and learning management system interface designers should take into account multitasking with mobile technologies. Methodology: A quasi-experimental design was used in this study. Data were collected from 117 students across two sections of an introductory Management Information Systems class taught by the first author. We took multiple approaches and steps to control for confounding factors and to increase the internal validity of the study. We used a control group as a comparison group, we used a pre-test, we controlled for selection bias, and we tested for demographic differences between groups. Contribution: With this paper, we explicated the relationship between multitasking and learning success. We defined learning success as learning performance and learning satisfaction. Contrary to the literature, we found that multitasking involving IT texting does not decrease students’ learning performance. An explanation of this change is the change in the student population, and the digital nativeness between 2010s and 2020 and beyond. Findings: Our study showed that multitasking involving IT texting does not decrease students’ performance in class compared to not multitasking. Secondly, our study showed that, overall, multitasking reduced the students’ learning satisfaction despite the literature suggesting otherwise. We found that attitude towards multitasking moderated the relationship between multitasking and learning satisfaction as follows. Individuals who had a positive attitude towards multitasking had high learning satisfaction with multitasking. However, individuals who had positive attitude toward multitasking did not necessarily have higher learning performance. Recommendations for Practitioners: We would recommend both instructors and the designers of learning management systems to take mobile multitasking into consideration while designing courses and course interfaces, rather than banning multitasking, and assuming that the students do not do it. Furthermore, we recommend including multitasking into relevant courses such as Management Information Systems courses to make students aware of their own multitasking behavior and their results. Recommendation for Researchers: We recommend that future studies investigate multitasking with different instruction methods, especially studies that make students aware of their multitasking behavior and its outcomes will be useful for next generations. Impact on Society: This paper investigates the role of mobile multitasking on learning performance. Since mobile technologies are ubiquitous and their use in multitasking is common, their use in multitasking affects societal performance. Future Research: Studies that replicate our research with larger and more diverse samples are needed. Future research could explore research-based experiential teaching methods, similar to this study.

Aim/Purpose: The digital ecosystem has contributed to the acceleration of digital and mobile educational tools across institutions worldwide. The research displays educators’ perspectives on web applications on mobile devices that can be used to engage and challenge students while impacting their learning. Background: Explored are elements of technology in education and challenges and successes reported by instructors to shift learning from static to dynamic. Methodology: Insights for this study were gained through questionnaires and focus groups with university educators in the United Arab Emirates. Key questions addressed are (1) challenges/benefits, (2) types of mobile technology applications used by educators, and (3) strategies educators use to support student learning through apps. The research is assisted by focus groups and a sample of 42 completed questionnaires. Contribution: The work contributes to web/mobile strategic considerations in the classroom that can support student learning and outcomes. Findings: The results reported showcase apps that were successfully implemented in classrooms and provide a perspective for today’s learning environment that could be useful for instructors, course developers, or any educational institutions. Recommendations for Practitioners: Academics can integrate suggested tools and explore engagement and positive associations with tools and technologies. Recommendation for Researchers: Researchers can consider new learning applications, mobile devices, course design, learning strategies, and student engagement practices for future studies. Impact on Society: Digitization and global trends are changing how educators teach, and students learn; therefore, gaps need to be continually filled to keep up with the pace of ever-evolving digital technologies that can engage student learning. Future Research: Future research may focus on interactive approaches toward mobile devices in higher education learning and shorter learning activities to engage students.

This study examines diverse information media in order to identify those formats that are most suitable for consumption via handheld mobile devices, namely, smartphones and tablets. The preferences of the users are measured objectively by analyzing actual data of their relative use of handheld mobile devices and personal computing (PC) desktop devices, including laptops and notebooks, for consumption of information presented in various formats. Our findings are based on Google Analytics pageview data of five course Websites during a period of three semesters, by 11,557 undergraduate students. M-learning contexts were chosen, since in a learning environment the interests of information providers (i.e., the instructors) are in accord with those of the information consumers (i.e., the students), whereas in commercial settings there may be conflicts of interests. Our findings demonstrate that although about 90% of the pageviews were via PC devices, the rate of smartphone use for consuming learning content in diverse information media is gradually increasing as time goes by, whereas the rate of tablet use for these purposes is stagnant. The most promising direction for smartphone development, emanating from the findings, is online video content.

Anyone accessing My Catawba County will be able to choose from a selection of informational links and County applications. The application was developed for mobile devices with a web browser such as iPad, iPhone, Android phones and tablets.

A new service developed at Binghamton University, State University of New York could improve performance of mobile devices that save data to the cloud.

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The mobile training aims to shake up the notion of traditional compliance training, making it widely accessible and highly interactive, even in remote locations. 

Job safety audits can mitigate the risk of accidents. But many rely on slow processes designed with compliance.

Insight Works offers a fast and effective WMS solution to ditch outdated paper-based processes and move to a robust mobile and barcode scanning system, which allows businesses to swiftly enhance warehouse accuracy and productivity.

Framework for combating the use of stolen mobile devices

[Capital FM] Nairobi -- Passengers entering Kenya will soon be required to declare their mobile phones, including their International Mobile Equipment Identity (IMEI) numbers, as part of a new compliance measure by the Kenya Revenue Authority (KRA).

Nov. 8, 2024 — Barcelona Supercomputing Center‘s Innostroke project aims to transform the prevention and monitoring of stroke, one of the leading causes of death and disability worldwide, through artificial […]

The post BSC Develops AI Model to Predict Stroke Risk Using Mobile Devices appeared first on HPCwire.

Smartphones hold increasing amounts of sensitive personal data, so every device is now a mixed-use device. As a result, businesses must protect employee privacy as fiercely as corporate security.

Popular television streaming service adds 30A TV to subscribers choice

Earlier this week, Adobe VP and General Manager Danny Winokur disclosed that the company has concluded that HTML5 is ”the best solution for creating and deploying content in the browser across mobile platforms.” The company said it would stop building Flash to run on mobile browsers. In a blog post on the new focus of Read the rest...

Neural style transfer is a well-known branch of deep learning research, with many interesting works and two major drawbacks. Most of the works in the field are hard to use by non-expert users and substantial hardware resources are required. In this work, we present a solution to both of these problems. We have applied neural style transfer to real-time video (over 25 frames per second), which is capable of running on mobile devices. We also investigate the works on achieving temporal coherence and present the idea of fine-tuning, already trained models, to achieve stable video. What is more, we also analyze the impact of the common deep neural network architecture on the performance of mobile devices with regard to number of layers and filters present. In the experiment section we present the results of our work with respect to the iOS devices and discuss the problems present in current Android devices as well as future possibilities. At the end we present the qualitative results of stylization and quantitative results of performance tested on the iPhone 11 Pro and iPhone 6s. The presented work is incorporated in Kunster - AR Art Video Maker application available in the Apple's App Store.

Various methods, apparatuses and/or articles of manufacture are provided which may be implemented to estimate a trajectory of a mobile device within an indoor environment. In some embodiments, the trajectory may be estimated without the use of any signal-based positioning information. For example, a mobile device may estimate such a trajectory based, at least in part, on one or more sensor measurements obtained at the mobile device, and further affect the estimated trajectory based, at least in part, on one or more objects identified in an electronic map of the indoor environment.

A method and apparatus in which multiple Internet Protocol (IP) based wireless data transmissions are simultaneously provided between a wireless device and a server, including providing multiple antennas, multiple T/R units, multiple processors and multiple I/O ports on the wireless device. The method includes receiving multiple IP data packets on the I/O ports at substantially the same time, and sending multiple data packets from the wireless device to the server, whereby the transmission rate between the wireless device and the server is increased.

A method of simulating print color on mobile devices, comprising: obtaining a second group of tristimulus values by a chromaticity measuring device through a measuring method; creating a CIEXYZ color space of the mobile device by the second group of tristimulus values, and transforming the CIEXYZ color space to a sRGB color space via a 1D lookup table and a transformation matrix; obtaining a print color from a ICC profile of an output device by 3D lookup table and generating a second color calibrated profile by finding another color, similar to the print color from the ICC profile of the output device, in the sRGB color space through tone mapping; and simulating the print color on a screen of the mobile device by using the second color calibrated profile, whereby the user can directly preview the printed photo on the screen thereby achieving saving print ink and time.

SquadCast's version 2 brings new support for more browsers and even mobile devices! Plus, more accessible pricing.

Obtain, run, and extend a Node.js starter application that uses the IBM Cloud Geospatial Analytics service. With the Geospatial Analytics service, you can monitor moving devices from the Internet of Things. The service analyzes a device message stream from MQTT and tracks device locations in real time with respect to one or more geographic regions.

IBM has implemented a cloud-based enterprise mobility management and security solution at Arrow International.

  When it comes to choosing a browser for your android device, chrome is a no-brainer. Here are a few tips to make your experience even better: Preload webpages Chrome can help you render webpages f...

Yokogawa Electric Corporation (TOKYO: 6841) and MetaMoJi Corporation announce that they have jointly developed SensPlus Note, a low cost and easy to implement solution for the digitization of plant data on mobile devices. SensPlus Note, a solution in Yokogawa's OpreX Operation and Maintenance Improvement family, improves the efficiency and quality of maintenance work and the precision of post-maintenance analyses by enabling data from plant field work to be used more efficiently. This solution will be released in all markets worldwide on January 31.

The ENGO charging station uses kinetic tiles and solar panels to charge up to 14 smartphones at a time, and provides free WiFi access and an emergency phone.

Smartphones hold increasing amounts of sensitive personal data, so every device is now a mixed-use device. As a result, businesses must protect employee privacy as fiercely as corporate security.

Madonna has banned the use of mobiles and smart watches at her 14-night London Palladium (top right) residency as part of her Madame X world tour.