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Amin Khalifeh; Mohammad Hamdi Al Khasawneh; Mohammad Alrousan; Ahmad Samed Al-Adwan; Firas Wahsheh; Fandi Yousef Omeish; Husam Ananzeh – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This research aims to empirically investigate and answer the following research questions: Do students' self-control and smartphone e-learning readiness influence smartphone-cyberloafing, and does gender play a role in this relationship? Background: Research indicates that many students' learning time is wasted due to cyberloafing,…
Descriptors: Foreign Countries, Student Behavior, Self Control, Telecommunications
Anna Sui; Wuyou Sui; Jennifer Irwin – Journal of American College Health, 2024
Smartphone ownership and engagement are at an all-time high. Excessive smartphone use may impart smartphone-specific anxiety; specifically, the fear of being unable to access or use one's smartphone, or nomophobia. Young adults, in particular, are at higher risk for nomophobia, given higher ownership of and engagement with smartphones. Notably,…
Descriptors: Handheld Devices, Internet, Addictive Behavior, Anxiety
Xiaotian Zhang; Mingming Zhou – Education and Information Technologies, 2024
Despite the rising awareness that mobile technologies can be used as viable options for additional support for intercultural learning, few studies have been conducted to explore the feasibility of using mobile apps to develop intercultural competence (IC) from the perspectives of learners' acceptance and user experiences. This study applied a…
Descriptors: Foreign Countries, Intercultural Communication, Cultural Pluralism, Interpersonal Competence
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
Robert R. Wright; Jordan Larson; Sarah Richards; Shaylee Larson; Christian Nienstedt – Journal of American College Health, 2024
Objective: To explore differences before and during the COVID-19 pandemic in electronic media use (i.e. TV watching, social media use, screen time), health (i.e. physical, behavioral, social, mental), and the relationship between them among college students. Participants: Nine hundred sixty-five United States college students with 367…
Descriptors: COVID-19, Pandemics, Social Media, Computer Use
Rodríguez-Torrico, Paula; San-Martín, Sonia; Jiménez, Nadia – Computers in the Schools, 2023
A major concern is how to tackle student smartphone addiction (SSA). First, however, analysis of the definition, causes, and consequences of SSA is necessary. There is a lack of consensus in this regard, and little research considers its multidisciplinary nature. This article first reviews the key literature across different disciplines. Based on…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Elementary School Students
Olasina, Gbolahan; Kheswa, Siyanda – Knowledge Management & E-Learning, 2021
There is an exponential increase of apprehension in the uptake, affordances and the excessive use of smartphones by multiple categories of users and the impact on the society. The research evaluates excessive use within a user community in a developing country landscape. It is estimated that many young people spend too much time on their phones…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Educational Technology
Sun, Yanyan; Gao, Fei – Educational Technology Research and Development, 2020
This study examines the relationships among intrinsic motivation, critical variables related to technology adoption, and students' behavioral intention in mobile-assisted language learning (MALL). To test the hypothesized model through a path analysis, 169 survey responses were collected from undergraduate students who were foreign language…
Descriptors: Student Motivation, Educational Technology, Technology Uses in Education, Intention
Eseryel, U. Yeliz; Jiang, Dan; Eseryel, Deniz – Journal of Information Technology Education: Innovations in Practice, 2021
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…
Descriptors: Time Management, Executive Function, Success, Student Satisfaction
Terry, Marion; Malik, Amjad; Chohan, Bushra – Online Submission, 2020
In an attempt to investigate concerns expressed by high school counselors, the researchers developed a quantitative Likert-scale questionnaire to assess the relationships among school experiences and video gaming and texting. Questions about video gaming and texting appeared with other questions about social relations, extra-curricular activities,…
Descriptors: Foreign Countries, Grade 9, High School Students, Adolescents
Fulya Y. Ersoy – Annenberg Institute for School Reform at Brown University, 2021
How does the perceived relationship between effort and achievement affect effort? To answer this question, I conduct a field experiment with a popular online learning platform. I exogenously manipulate students' beliefs about returns to effort by assigning them to different information treatments, each of which provides factual information.…
Descriptors: Productivity, Electronic Learning, Beliefs, Student Attitudes
Hwang, Gwo-Jen; Chang, Shao-Chen; Chen, Pei-Ying; Chen, Xiang-Ya – Educational Technology Research and Development, 2018
Engaging students in real-world learning contexts has been identified by educators as being an important way of helping them learn to apply what they have learned from textbooks to practical problems. The advancements in mobile and image-processing technologies have enabled students to access learning resources and receive learning guidance in…
Descriptors: Active Learning, Learner Engagement, Educational Technology, Technology Uses in Education
Shroff, Ronnie H.; Keyes, Christopher J. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students' behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant…
Descriptors: Student Motivation, Student Behavior, Intention, Telecommunications
Uche Amaechi – ProQuest LLC, 2016
The rise in popularity of mobile technologies, particularly with respect to youth, has created new challenges and opportunities for districts, schools, and classrooms. As more students come to own these devices they have increasingly sought to use them in their schools and classrooms, with or without their schools' official support. Districts and…
Descriptors: Handheld Devices, Telecommunications, School Policy, School Districts
Ennis, Robin Parks; Lane, Kathleen Lynne; Oakes, Wendy Peia – Preventing School Failure, 2018
Self-monitoring is a low-intensity strategy teachers can use to support instruction in classrooms across the grade span in various instructional settings and content areas. This study extended the knowledge base by examining the effectiveness of self-monitoring through a systematic replication with three students with specific learning…
Descriptors: Teacher Empowerment, Educational Strategies, Self Evaluation (Individuals), Elementary School Students
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