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Andika Putranta Utama; Ery Tri Djatmika Rudijanto Wahju Wardhana; Imam Mukhlis; Farida Rahmawati; Paul Arjanto – Educational Process: International Journal, 2025
Background/purpose: High school students' decisions to pursue higher education are influenced by financial stability, social environment, technological access, and available opportunities. While prior studies examined these factors separately, this study explores their combined effects in Lumajang Regency, Indonesia. Materials/methods: Using a…
Descriptors: Foreign Countries, High School Students, Decision Making, Higher Education
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Minna Peltopuro – European Journal of Education, 2025
This study explores the perspectives of professionals working with children on the impact of digital device use in schools on health and learning. A survey was conducted among 62 experts, including doctors, psychologists, and opticians, to determine safe daily limits for time spent on digital devices for different age groups. The results suggest…
Descriptors: Technology, Handheld Devices, Children, Young Children
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Nazmul Hasan; Manisha J. Nene – Journal of Educational Computing Research, 2024
Children with Autism face several significant challenges, including deficits in both verbal and nonverbal communication, difficulties with concentration, limited interest in their surroundings, non-responsiveness, and struggles with adapting to new situations. It is imperative to consider and address these challenges when implementing…
Descriptors: Autism Spectrum Disorders, Children, Skill Development, Caregiver Role
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Jona Lilienthal; Sibylle Sturtz; Christoph Schürmann; Matthias Maiworm; Christian Röver; Tim Friede; Ralf Bender – Research Synthesis Methods, 2024
In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…
Descriptors: Bayesian Statistics, Meta Analysis, Health Sciences, Technology
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J. Schillings; R. Bennett; D. C. Rose – Journal of Agricultural Education and Extension, 2024
Purpose: End-user participation is often encouraged to promote the uptake of Digital Livestock Technologies (DLTs). However, managing participation during DLT development can be challenging. We explore how participation decisions can impact end-users' engagement and attitudes towards the process, before suggesting strategies for improved…
Descriptors: Agricultural Occupations, Animals, Animal Husbandry, Agricultural Production
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C. Beaver – PRIMUS, 2024
In this paper, several research topics are presented that provide productive avenues of exploration for students in an undergraduate cryptography course. The topics are intended for a variety of skill levels and interests. In some cases, a student might be inspired to try to solve the proposed problem or write computer code. Other topics might…
Descriptors: Technology, Coding, Undergraduate Students, Student Projects
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Melissa N. Savage; Tina A. Clark; Edward Baffoe; Alexandra E. Candelaria; Lola Aneke; Renee Gonzalez; Ali Al Enizi; Marisol Anguita-Otero; Keita Edwards-Adams; Lilliesha Grandberry; Stella Reed – Journal of Developmental and Physical Disabilities, 2024
Physical health habits including physical activity and nutrition are essential for numerous health benefits. However, beginning in childhood, individuals with intellectual disability engage in lower levels of physical activity and healthy nutrition habits compared to individuals without intellectual disability, a trend that carries on into…
Descriptors: Physical Health, Intervention, Technology, Intellectual Disability
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Ziren Jiang; Joseph C. Cappelleri; Margaret Gamalo; Yong Chen; Neal Thomas; Haitao Chu – Research Synthesis Methods, 2024
Population-adjusted indirect comparison (PAIC) is an increasingly used technique for estimating the comparative effectiveness of different treatments for the health technology assessments when head-to-head trials are unavailable. Three commonly used PAIC methods include matching-adjusted indirect comparison (MAIC), simulated treatment comparison…
Descriptors: Comparative Analysis, Decision Making, Health Services, Computer Oriented Programs
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Sultan Hammad Alshammari; Muna Eid Alrashidi – International Journal of Information and Communication Technology Education, 2024
The metaverse is a mixed blend of digital and tangible worlds, indicating the future directions of Internet sector development. This study aimed to assess the factors affecting students' intentions to use a metaverse platform. The unified theory of acceptance and use of technology was applied as the research model. Data were collected using a…
Descriptors: Intention, Computer Simulation, Student Attitudes, Foreign Countries
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Lyn Denend; Ross Venook; Ravinder D. Pamnani; Kunj Sheth; Joseph Towles – Biomedical Engineering Education, 2024
In design-oriented biomedical engineering courses, some instructors teach need-driven methods for health technology innovation that use a "need statement" to reflect a student team's hypothesis about the most fruitful direction for their project. While need statements are of the utmost importance to the projects, we were not aware of any…
Descriptors: Scoring Rubrics, Biomedicine, Engineering Education, Student Projects
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Sam von Gillern; Chad Rose; Amy Hutchison – British Journal of Educational Technology, 2024
As teachers are purveyors of digital citizenship and their perspectives influence classroom practice, it is important to understand teachers' views on digital citizenship. This study establishes the Teachers' Perceptions of Digital Citizenship Scale (T-PODS) as a survey instrument for scholars to investigate educators' views on digital citizenship…
Descriptors: Citizenship, Digital Literacy, Teacher Attitudes, Test Items
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Mehmet Ali Yilik; Yasar Kondakçi – Higher Education Policy, 2024
University-industry relationship has always been disputable in higher education. The affiliated Technology Development Zones (TDZs) of universities are proposed as the most viable form of university-industry relationship, and countries have invested extensive public monies in TDZs. However, concerns have been raised regarding the structures of…
Descriptors: Partnerships in Education, Industry, Higher Education, Technology
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Baumsteiger, Rachel; Hoffmann, Jessica D.; Seibyl, Jennifer; Rose, Becca; Brackett, Marc A. – Educational Psychology Review, 2023
A systematic review was conducted to identify emergent trends in the assessment of secondary school climate. Comparisons of assessments published in the past 6 years (2016-2021) and those published prior to 2016 (total N = 46) revealed recent shifts related to conceptualization, validity, accessibility, and recommendations for improving school…
Descriptors: Secondary Schools, Educational Environment, Evaluation, Trend Analysis
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Zhao, Teng-Yu; Pei, Ruimin; Yang, Guo-Liang – Research Evaluation, 2023
The ex-post assessment of institutional performance has been applied to allocate scientific and technological (S&T) resource to universities and public research institutes. However, over-emphasis on particular types of performance could lead to unintended results and harm the science system. This research assesses the performance of these…
Descriptors: Resource Allocation, Research Universities, Sciences, Technology
Sharon Kay Stout – ProQuest LLC, 2023
With a plethora of digital tools at their disposal and knowledge at their fingertips, Generation Z students must be engaged in ways that differ from previous generations of students. Using Ryan and Deci's (2000, 2020) self-determination theory and the Student Engagement Core model proposed by Bundick et al. (2014), this qualitative research study…
Descriptors: Secondary School Students, Generational Differences, Learner Engagement, Student Attitudes
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