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Showing 1 to 15 of 30 results Save | Export
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Kaminske, Althea; Brown, Adam; Aylward, Anna; Haller, Mckenzie – European Journal of Educational Research, 2022
Recent research has found that the presence of cell phones impairs attention during learning. The present experiment sought to better understand this phenomenon by measuring the effects of cell phone presence, cell phone notifications, and cell phone ownership (participant's or others) on attention. Attention was measured using a Stroop task in a…
Descriptors: Handheld Devices, Telecommunications, Information Dissemination, Attention Control
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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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Liu, Yan; Deng, Lisa; Lin, Lin; Gu, Xiaoqing – Interactive Learning Environments, 2023
With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students' independent study…
Descriptors: Independent Study, Student Behavior, Behavior Patterns, Time on Task
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Rikki Patton; Jessica L. Chou; Diane K. Brown; Asif Zaarur – Journal of American College Health, 2025
Objective: Better understanding how behavioral health professions students were impacted by COVID-19 can help educators inform their education practices. Participants: The present study examined the impact of COVID-19 among n = 83 students enrolled in two universities across five graduate-level behavioral health training programs -- clinical…
Descriptors: COVID-19, Pandemics, Graduate Students, Allied Health Occupations Education
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Reysen, Rebekah; Reysen, Matthew; Reysen, Stephen – College Teaching, 2021
In the present study, we examined the relationship between academic entitlement, nomophobia, and cellular phone usage during class. Students reported the amount of time spent on their phones during class, frequency of checking phones during class, academic entitlement, and dimensions of nomophobia (cell phone addiction). Academic entitlement and…
Descriptors: Handheld Devices, Telecommunications, Anxiety, College Students
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Squires, David R. – Journal of Educational Technology, 2021
The Mobile Learning Just-in-Time Cognitive Support Software Application Systems research study was conducted in three fully online graduate courses. Multiple rounds of data analytic activity includes; mobile app downloads, app visits, time in app, application time on task, and frequently used application tabs (n=78). A second round of collection…
Descriptors: Electronic Learning, Learning Strategies, Graduate Students, Handheld Devices
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Mayra Stefany Torres-Munares; Ada Cristina Hurtado-Flores; Ernesto Adolfo Carrera-Salas – Cogent Education, 2024
College students often face difficulties managing their time due to a lack of basic organizational skills. The research proposes the implementation of a mobile application to improve time management based on gamification as a solution to promote compliance with academic activities. For the correct development of these academic activities, the SOAR…
Descriptors: Foreign Countries, Undergraduate Students, Gamification, Technology Uses in Education
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Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
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Batch, Brook; Roberts, Jacqueline; Nakonechnyi, Alex; Allen, Rebecca – Journal of Educational Technology Systems, 2021
While technology offers educators many affordances to provide students with rich educational experiences, literature and empirical experience indicates that students' unstructured cell phone usage may have adverse impacts on student achievement and create a contagious climate of distraction. This research project seeks to understand students'…
Descriptors: Handheld Devices, Student Needs, Student Behavior, Teacher Student Relationship
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P. Pragha; Krantiraditya Dhalmahapatra; Murali Sambasivan; Pradeep Rathore; Esha Saha – Journal of Applied Research in Higher Education, 2025
Purpose: The study intends to evaluate students' intention to shift from cash payment to mobile payment system for academic fee payments through push, pull and mooring framework. Push factors comprise risk and service-related factors, pull factors consist of subjective and aspect-based factors and mooring factors include cost and cognitive…
Descriptors: Foreign Countries, Undergraduate Students, College Graduates, Student Attitudes
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Aziman Abdullah – International Society for Technology, Education, and Science, 2023
This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…
Descriptors: Time Factors (Learning), Handheld Devices, Computer Use, Television Viewing
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Fu, En; Gao, Qiufeng; Wei, Chuqian; Chen, Qianyi; Liu, Yijun – Journal of Computer Assisted Learning, 2021
Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One…
Descriptors: Foreign Countries, College Students, Handheld Devices, Telecommunications
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Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
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Deng, Liping; Ku, Kelly Yee Lai; Kong, Qiuyi – Interactive Technology and Smart Education, 2019
Purpose: The study aims to give a descriptive account of university students' engagement with non-learning-related activities during class time and explore the relationship between off-task multitasking and learning. The predictive factors for off-task multitasking from individual, social and class-related dimensions are also examined.…
Descriptors: Telecommunications, Handheld Devices, Time on Task, Time Management
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Deng, Liping – Australasian Journal of Educational Technology, 2020
This study examines university students' multitasking with computers and mobile phones in an authentic self-study context, with the primary focus being on off-task multitasking and interruption as precursor to multitasking. The study drew on interviews, observation, and video-stimulated recall to reveal the triggers for and processes of…
Descriptors: Laptop Computers, Telecommunications, Handheld Devices, Independent Study
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