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Showing 1 to 15 of 112 results Save | Export
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Hans Humenberger – Teaching Statistics: An International Journal for Teachers, 2025
In the last years special "ovals" appear increasingly often in diagrams and applets for discussing crucial items of statistical inference (when dealing with confidence intervals for an unknown probability p; approximation of the binomial distribution by the normal distribution; especially in German literature, see e.g. [Meyer,…
Descriptors: Computer Oriented Programs, Prediction, Intervals, Statistical Inference
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Jennifer Billinson – New Directions for Student Leadership, 2025
This article analyzes how TikTok can be situated as a space for learning and analyzing critical leadership skills in the classroom and beyond. While the platform has earned criticism from a variety of angles (including fears over media effects and the pervasiveness of the algorithm), I argue the popularity of the app positions it as one of the…
Descriptors: Leadership Training, Social Media, Leadership Qualities, Computer Oriented Programs
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Michael C. Robbins; Zhuping Li – Field Methods, 2025
The Nolan Index (NI) is a normed, quantitative measure for comparing the degree of resemblance (similarity or dissimilarity) between free listings with an Excel program for calculating it. This article enhances that effort with the addition of an R program and additional applications. Free-list resemblance measures have been used to investigate…
Descriptors: Computation, Norm Referenced Tests, Comparative Analysis, Spreadsheets
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Jack Thomas-Colwell; Ramya S. Pathuri; Aaron H. Shoemaker; Michael G. Hill; Bryan M. Hunter – Journal of Chemical Education, 2025
The study of coordination complexes in general and inorganic chemistry courses is facilitated by theoretical frameworks such as crystal field theory (CFT) and ligand field theory (LFT). The angular overlap model (AOM) is alternative approach that quantifies metal-ligand interactions based on the geometric configuration of a given complex. In this…
Descriptors: Computer Oriented Programs, Organic Chemistry, Inorganic Chemistry, Scientific Concepts
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Justin Zumwalt; Ashley Keener – Discover Education, 2025
The first two years of undergraduate medical education include foundational science and clinical training such as accurately interpreting electrocardiograms (ECGs). ECG education is traditionally delivered via lecture-based presentations in a formal classroom setting. However, students are increasingly finding mobile apps to be instructive to use…
Descriptors: Undergraduate Students, Medical Students, Medical Education, Computer Oriented Programs
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Yuting Mu; Yuqi Gao; Yanmin Zhao – International Journal on E-Learning, 2025
With the increasing use of mobile applications for educational purposes among university students, enhancing the efficiency of mobile instruction and learning is a key concern in higher education. It is, therefore, necessary to explore students' mobile learning habits and to identify the factors that influence their mobile learning to further…
Descriptors: College Students, Student Attitudes, Handheld Devices, Computer Oriented Programs
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Hyun-Bin Hwang – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
App-based language learning has gained attention for its potential to promote L2 learning beyond the classroom. However, few learners use L2 learning apps long enough to fully benefit from this learning method. Using the unified theory of acceptance and use of technology, I explored the acceptance and use of a commercially available language…
Descriptors: Computer Oriented Programs, Computer Uses in Education, Second Language Learning, Independent Study
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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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Sharon R. Mittiga; Nerelie C. Freeman; Brett E. Furlonger; Perrin Chan; Erin S. Leif – Journal of Positive Behavior Interventions, 2025
This study evaluated the quality and behavior change techniques (BCTs) included in 11 freely available mobile classroom behavior management applications (mCBM apps). We found that mCBM apps included a limited number of BCTs, with an average of 9 of 21 possible BCTs. Consequence-based BCTs like rewards and feedback were common, while…
Descriptors: Behavior Modification, Student Behavior, Computer Uses in Education, Positive Behavior Supports
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Manus Phuttawong; Pinanta Chatwattana – Higher Education Studies, 2025
The educational guidance platform via artificial intelligence chatbot to promote vocational aptitude for vocational students or the educational guidance platform via AI Chatbot is a research tool that was designed with the combination of educational guidance process, artificial intelligence technology, and chat platforms like LINE and Messenger.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Vocational Aptitude, Career and Technical Education
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Christopher Antoun; Xin Yang; Brady T. West; Ai Rene Ong – Field Methods, 2025
The objective of our project was to develop a smartphone app for administering shorter ("modular") surveys. Given the paucity of research on this topic, we decided to use "co-design" techniques to generate design solutions. To implement these techniques, we recruited respondents in the survey target population to work in small…
Descriptors: Test Construction, Surveys, Computer Oriented Programs, Design
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Soyoung Choi; Deepthi Vasudevan; Apoorva Bhole; Jaeyi Hong; Krystal Steg; Jacqueline Marquez; Inna Chong; Erica Cai – Journal of American College Health, 2025
Objectives: The purpose of this study was to understand current research on the utilization of mobile health (mHealth) technologies for college students with disabilities. Methods: We conducted a bibliometric analysis to understand the longitudinal research trends and dominant topics in mHealth research for college students. Next, we performed a…
Descriptors: College Students, Students with Disabilities, Health Services, Educational Research
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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
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Jessica Klein; Sharon Medina; Kevin M. Spath; Callie A. Hill; Christoph Li; Isabelle Hwang; Krystina E. Olson; Chih-Chin Chou – Journal of Special Education Technology, 2025
The challenges faced by transition-age youth (TAY) with level one autism spectrum disorder (L1-ASD) during the transition to adulthood can be exacerbated by disability-related hurdles, particularly in employment and post-secondary education. Existing social skills training interventions for TAY with ASD often include building social narratives and…
Descriptors: Autism Spectrum Disorders, Transitional Programs, Youth, Interpersonal Competence
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Constance A. Lightner; Carin A. Lightner-Laws; Tameka Womack – Educational Technology Research and Development, 2025
Many universities utilized a reactive, piecemeal approach to adapt and rapidly reopen schools at the onset of the COVID-19 pandemic. Although schools were able to resume classes online relatively quickly, there was limited time to explore best practices for an optimal online learning environment. The pandemic exposed significant issues in the…
Descriptors: Higher Education, Electronic Learning, Distance Education, Technology Uses in Education
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