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Framing Outcomes and Programming Assessment for Digital Scholarship Services: A Logic Model Approach
Peer reviewed
Direct linkLongmeier, Meris Mandernach; Murphy, Sarah Anne – College & Research Libraries, 2021
Assessing digital scholarship services offered either through academic libraries or elsewhere on campuses is important for both program development and service refinement. Digital scholarship support is influenced by fluid campus priorities and limited resources, including staffing, service models, infrastructure, and partnership opportunities…
Descriptors: Library Services, Academic Libraries, Scholarship, Computer Use
Download full textRodríguez-Suárez, Julio; Morán-Neches, Lorena; Herrero-Olaizol, Juan-Bautista – Comunicar: Media Education Research Journal, 2021
In recent years, digital networks have given rise to new spaces for socialization, action and protest, favouring the emergence of new forms of social participation that generate their own languages and new symbolic strategies. In order to analyze online mobilization within the Spanish context and in order to explore these realities in more depth,…
Descriptors: Activism, Foreign Countries, Social Action, Ethnography
Doo, Min Young; Bonk, Curtis J.; Heo, Heeok – New Horizons in Adult Education & Human Resource Development, 2021
Problem-solving skills in a digital environment are a prerequisite to a better future for all citizens in the Fourth Industrial Revolution era. To investigate the relationship between age, gender, computer use, and adult learners' problem-solving skills in a digital environment, this study analyzed the 4,540 Korean participants' problem-solving…
Descriptors: Problem Solving, Age Differences, Gender Differences, Computer Use
Gu, Xiaoqing; Xu, Hongjin – Journal of Educational Computing Research, 2019
Advancements in learning analytics allow teachers to track student learning progress and promote learning by providing necessary intervention and support. Multiple data sources are involved in learning analytics, and the major ones are systems that students use in school. To fully comprehend the progress of student learning, out-of-school learning…
Descriptors: Learning Processes, Computer Use, Informal Education, Learning Experience
Akhmad Habibi; Mailizar Mailizar; Lalu Nurul Yaqin; Turki Mesfer Alqahtani; Mukhlash Abrar; Budianto Hamuddin; Failasofah Failasofah – Journal of Technology and Science Education, 2024
This study examines the factors affecting the intention to use and actual use of YouTube in improving English-speaking skills in Indonesia. To meet the aims, we extended the theory of technology acceptance model (TAM); two external factors, subjective norms, and perceived enjoyment, to support the TAM variables (perceived ease of use, perceived…
Descriptors: Foreign Countries, College Students, English (Second Language), Language Skills
Ali Soyoof; Barry Lee Reynolds; Michelle Neumann; Janet Scull; Ekaterina Tour; Katherine McLay – Journal of Computer Assisted Learning, 2024
Background: In today's society, a growing body of literature attests to the importance of young children's early digital literacy skills in their home environments and how acquisition of these digital literacy skills relates to their future learning and digital literacy. Objectives: Research on young children's digital literacy practices at home…
Descriptors: Children, Digital Literacy, Family Environment, Parent Participation
Alia El Naggar – International Journal of Developmental Disabilities, 2024
This study examines the parental use of social media within autism spectrum disorder (ASD) families in the United Arab Emirates (UAE), focusing on perspectives and challenges in promoting social inclusion. Through semi-structured interviews with 21 participants, including 16 females and 5 males aged between 36 and 47, insights were gained into…
Descriptors: Foreign Countries, Social Media, Autism Spectrum Disorders, Computer Use
Justin A. Haegele; Fenghua Sun; Chunxiao Li; Kwok Ng; Jihyun Lee; Stefanie Hwee Chee Ang; Maria Luiza Tanure Alves; Hannah Yang; Yandan Wu; Jernice Sing Yee Tan; Pauli Rintala; Wendy Yajun Huang; Sean Healy; Isabella dos Santos Alves; Andre Lisandro Schliemann; Hyokju Maeng; Eija Karna; Ding Ding – Journal of Autism and Developmental Disorders, 2024
This cross-sectional observational study sought to examine the environmental correlates of physical activity and screen-time among youth with autism spectrum disorder (ASD). Parents of youth with ASD (n = 1,165) from seven countries/regions provided responses to an online survey form measuring environmental correlates (i.e., physical activity…
Descriptors: Youth, Parents, Autism Spectrum Disorders, Physical Activity Level
Madison C. Chandler; Oksana K. Ellison; Amanda L. McGowan; Kimberly M. Fenn; Matthew B. Pontifex – Journal of American College Health, 2024
For undergraduate students, excessive screen time is associated with poorer mental health and greater perceived stress. Objective: The purpose of the present investigation was to determine the potential moderating influence of physical activity and sleep on the relationship between screen time and stress. Participants & Methods: A…
Descriptors: Physical Activity Level, Sleep, Anxiety, Undergraduate Students
Jingying Chen; Junlin Hu; Kun Zhang; Xiao Zeng; Yuhao Ma; Wenrui Lu; Kai Zhang; Guangshuai Wang – Interactive Learning Environments, 2024
Virtual reality (VR) technology has shown great potential on intervention of social skills for children with autism spectrum disorder (ASD). This review aimed to review the application of VR in current social skills intervention targeting autistic children and evaluate its effect. After searching and screening three databases, we found 20 papers…
Descriptors: Computer Simulation, Interpersonal Competence, Skill Development, Autism Spectrum Disorders
Sacide G. Mazman Akar; Murat Özer – Journal of Pedagogical Research, 2025
This study explores the influence of digital literacy, parental styles, and background variables on digital game addiction among elementary school students. Given the formative nature of early childhood and the significant role of parental influence, understanding these relationships is essential to promoting healthy digital habits. The sample…
Descriptors: Video Games, Computer Games, Addictive Behavior, Elementary School Students
Sarah Fakroune; Stephan Van den Broucke – Journal of American College Health, 2025
Objectives: This study investigated if unhealthy sleeping habits of university students can be explained by the Theory of Planned Behavior. Method: An online questionnaire was administered to 1006 undergraduate students at a Belgian university to measure their frequency of irregular sleeping times, daytime napping, and pre-bedtime alcohol or…
Descriptors: Foreign Countries, Sleep, Health Behavior, Undergraduate Students
Cüneyt Akar; Beyhan Can Kaya – International Electronic Journal of Elementary Education, 2025
This study investigated the levels and predictors of school happiness among primary school students, with a particular emphasis on justice disposition. The sample consisted of 1065 students from public schools in three provinces of Aegean Region in Türkiye. Data were collected using the Justice Disposition Scale and the School Happiness Scale, and…
Descriptors: Elementary School Students, Student Attitudes, Justice, Personality Traits
Murat Çinar; Dilek Dogan; Ömer Demir – Education and Information Technologies, 2025
This study aims to examine how external locus of control (eLoC) impacts students' academic procrastination behaviors in asynchronous distance education with regard to compulsive internet habits, cyberloafing, disrespect for copyright, learning goal orientation, and self-efficacy. The sample comprised a total of 916 undergraduate students.…
Descriptors: Predictor Variables, Time Management, Online Courses, Locus of Control
Kevser Hava; Aslihan Aslan; Ziya Aslan – Malaysian Online Journal of Educational Technology, 2025
This study investigates the metaphors used by primary school students (aged 7-8) to describe Artificial Intelligence (AI), aiming to clarify their conceptual understanding of the subject. The metaphor analysis method was employed to explore how students conceptualize AI and to uncover the underlying cognitive structures influencing their…
Descriptors: Elementary School Students, Student Attitudes, Artificial Intelligence, Knowledge Level
