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SeHee Jung; Hanwen Wang; Bingyi Su; Lu Lu; Liwei Qing; Xiaolei Fang; Xu Xu – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study presents a mobile application (app) that facilitates undergraduate students to learn data science using their own full-body motion data. The app captures a user's movements through the built-in camera of a mobile device and processes the images for data generation using BlazePose, an open-source computer vision model for real-time pose…
Descriptors: Undergraduate Students, Data Science, Handheld Devices, Open Source Technology
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Baird, William; Pizano, Adrian; Ruff, Jordan – Physics Teacher, 2022
The global positioning system (GPS) must be familiar to every user of a smartphone as a way to locate one's position on Earth to within several meters. The constellation of orbiting atomic clocks equipped with radio transmitters allows receivers on Earth to determine their own position by measuring the travel times of radio signals from multiple…
Descriptors: Geographic Information Systems, Data Collection, Time, Handheld Devices
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Arlene A. Russell; Jennifer R. Casey; Kristopher K. Barr – Journal of Chemical Education, 2023
We report here a successful adaptation of lab videos used during remote instruction to a kinetics experiment reported in this Journal in 2007. In the in-person lab, students now record their rate data on their cell phone cameras and then collect their data from the videos for their postlab reports; previously, they acquired the data in real time…
Descriptors: Chemistry, College Freshmen, College Science, Laboratory Experiments
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Kaps, A.; Stallmach, F. – Physics Education, 2021
A digital learning-teaching environment is introduced in which undergraduate students are challenged to connect the basic physical concepts of oscillation, buoyancy and data analysis via an authentic experiment. The damped oscillation of a cylindrical body swimming upright in water is measured via the MEMS acceleration sensor of a wireless MCU…
Descriptors: Physics, College Science, Undergraduate Students, Science Experiments
Rene David Chacon – ProQuest LLC, 2021
With the increasing data security awareness of mobile crowdsensing (MCS) participants, smartphone app developers are continually developing technical security protections, but with little consideration on human behaviors. Information technology (IT) advancements seen in the introduction of homomorphic encryption and privacy preserving…
Descriptors: Graduate Students, Student Participation, Handheld Devices, Computer Oriented Programs
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Melcher, Jennifer; Lavoie, Joel; Hays, Ryan; D'Mello, Ryan; Rauseo-Ricupero, Natali; Camacho, Erica; Rodriguez-Villa, Elena; Wisniewski, Hannah; Lagan, Sarah; Vaidyam, Aditya; Torous, John – Journal of American College Health, 2023
Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…
Descriptors: Telecommunications, Handheld Devices, College Students, COVID-19
Sanchez, Irene M. – National College Attainment Network, 2021
Text Steps was a project piloted by Ascendium Education Group in 2015 and expanded to 13 school districts in Wisconsin between 2018 and 2020. Its goal was to combat summer melt through a texting program. Summer melt, in which college-intending high school students are unable to enroll in the fall for any number of reasons, is a well-documented…
Descriptors: Summer Programs, Access to Education, High School Students, College Attendance
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Magraw-Mickelson, Zoe; Wang, Harry H.; Gollwitzer, Mario – International Journal of Testing, 2022
Much psychological research depends on participants' diligence in filling out materials such as surveys. However, not all participants are motivated to respond attentively, which leads to unintended issues with data quality, known as careless responding. Our question is: how do different modes of data collection--paper/pencil, computer/web-based,…
Descriptors: Response Style (Tests), Surveys, Data Collection, Test Format
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Kocak, Omer; Goktas, Yuksel – International Journal of Contemporary Educational Research, 2021
Smartphones, which enable us to be online everywhere and every time, are also commonly used by students today. This study aims to reveal undergraduate students' habits of using smartphones. With this purpose, the phone usage track application was installed on students' smartphones, and their 7-day use was recorded with the application and was then…
Descriptors: Telecommunications, Handheld Devices, Habit Formation, Computer Use
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Gallitto, Aurelio Agliolo; Battaglia, Onofrio Rosario; Fazio, Claudio – Physics Education, 2021
We describe an educational activity that can be done by using smartphones to collect data in physics experiments aimed to measure the oscillating period of a spring-mass system and the elastic constant of the helicoidal spring by the dynamic method. Results for the oscillating period and for the elastic constant of the spring agree very well with…
Descriptors: Science Instruction, Physics, Measurement Techniques, Telecommunications
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Willis, Malachi; Jozkowski, Kristen N. – Journal of American College Health, 2018
Objective: Our objectives were to measure reporting differences between sexual behavior data from daily diary and retrospective estimates and to assess the utility of using smartphones to collect sexual behavior data from a college student population. Participants: Eighty-six participants (68 women, 18 men) completed the study. Methods: For…
Descriptors: Handheld Devices, Telecommunications, Sexuality, Diaries
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Sant-Geronikolou, Stavroula; Kouis, Dimitris; Koulouris, Alexandros – Education and Information Technologies, 2019
Library and information science experts around the globe are currently exploring ways of capitalizing student workflow data within library walls. Within this realm, the researchers designed and pilot-tested a user-driven lightweight application that envisions library as a crucial contributor of co-curricular data to learner profiles' contextual…
Descriptors: Academic Libraries, Computer Oriented Programs, Handheld Devices, Foreign Countries
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Arnold, Karen D.; Owen, Laura; Lewis, Jonathan – Journal of College Access, 2020
Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…
Descriptors: Academic Advising, Telecommunications, Handheld Devices, College Bound Students
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Fryer, Luke K.; Nakao, Kaori – Frontline Learning Research, 2020
Self-report is a fundamental research tool for the social sciences. Despite quantitative surveys being the workhorses of the self-report stable, few researchers question their format--often blindly using some form of Labelled Categorical Scale (Likert-type). This study presents a brief review of the current literature examining the efficacy of…
Descriptors: Measurement Techniques, Research Methodology, Surveys, Online Surveys
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Mikhailova, Elena A.; Post, Christopher J.; Zurqani, Hamdi A.; Younts, Grayson L. – Education Sciences, 2022
Crowdsourcing is an important tool for collecting spatio-temporal data, which has various applications in education. The objectives of this study were to develop and test a laboratory exercise on soil erosion by water and field data crowdsourcing in an online introductory soil science course (FNR 2040: Soil Information Systems) at Clemson…
Descriptors: Social Sciences, Telecommunications, Handheld Devices, Geographic Information Systems
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