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Petko Stoev; Maya Stoeva; Ivan Shotlekov – International Society for Technology, Education, and Science, 2023
Career development is an important aspect of every young person's life as it helps them identify their skills, interests and goals and find the right career path for themselves. Career skills are a broad range of competencies and abilities that are necessary for success in the workplace. Developing them through education, training and experience…
Descriptors: Career Development, Computer Science Education, Computer Software, Competition
Lucas Schoppe – ProQuest LLC, 2023
The current music education paradigm may be considered an oppressive experience for both students and teachers through its historical foundation, standardized nature, and focus on Western art repertoire and its associated skill building. Realizing the oppressive nature of many aspects of music education, some scholars and practitioners have sought…
Descriptors: Music Education, Grade 5, Elementary School Students, Computer Software
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Eder José Assink Junior; Paulo Cesar de Jesus; Endler Marcel Borges – Journal of Chemical Education, 2023
Here, students determine the total protein content in whey protein samples using the Lowry assay. Quantitative analysis was carried out using absorbance measured at 750 nm (standard method) and 96-well-plate digital images obtained using smartphones (proposed method). The proposed method was carried out using two smartphones (1 and 2). Smartphone…
Descriptors: Chemistry, Science Education, Visual Aids, Handheld Devices
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Pierre-Edouard Danjou; Saâd Bouhsina; Sylvain Billet; Francine Cazier-Dennin – Journal of Chemical Education, 2023
The year 2020 will be remembered as the year of COVID-19 and its subsequent lockdowns. The time to return to face-to-face teaching has arrived, but the shadow of the disease still hangs over teachers, students, and society. Disruption in teaching can still occur for students, or even teachers, if they are either diagnosed as COVID-19 positive or…
Descriptors: Synchronous Communication, Blended Learning, COVID-19, Pandemics
Craig K. Enders – Grantee Submission, 2023
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…
Descriptors: Data, Research, Theories, Regression (Statistics)
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Anastasia Angelopoulou; Rania Hodhod; Kristin Lilly; Ann Newland – Journal of Postsecondary Education and Disability, 2023
People with disabilities rely on a range of accessible technologies to interface with the digital world. However, their needs are often not considered when developing applications in introductory computer sciences courses. These courses traditionally focus on teaching technical skills that do not include those for designing and developing…
Descriptors: Computer Science Education, Accessibility (for Disabled), Disabilities, Design
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Casas-Rosal, José Carlos; Caridad y Ocerín, José María; Núñez-Tabales, Julia M.; León-Mantero, Carmen – Teaching Statistics: An International Journal for Teachers, 2019
This paper presents the operation of the educational software, Real Estate Data Analyzer, to teachers and future teachers. It is a specific software that allows students carry out complete statistical analysis projects on the characteristics of the buildings that surround them.
Descriptors: Statistical Analysis, Computer Software, Teaching Methods, Real Estate
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Ames, Allison J.; Au, Chi Hang – Measurement: Interdisciplinary Research and Perspectives, 2018
Stan is a flexible probabilistic programming language providing full Bayesian inference through Hamiltonian Monte Carlo algorithms. The benefits of Hamiltonian Monte Carlo include improved efficiency and faster inference, when compared to other MCMC software implementations. Users can interface with Stan through a variety of computing…
Descriptors: Item Response Theory, Computer Software Evaluation, Computer Software, Programming Languages
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Cynthia Bansak; Julie K. Smith; Christine L. Storrie – Journal of Economic Education, 2025
The authors of this article describe three student-driven learning modules developed from their respective College Fed Challenge courses. These activities are ready-to-apply in a wide range of courses to facilitate adoption without a large time commitment. In the "Pick a Policy Maker" module, students gain an understanding of the…
Descriptors: Macroeconomics, Economics Education, Teamwork, Graphs
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Vladimir Román Gutiérrez-Huancayo – LEARN Journal: Language Education and Acquisition Research Network, 2025
The present study aims to investigate how social media can influence the development of oral skills in 60 students from a higher education institution in Peru. In this regard, mixed-methods research was conducted, with pre and post-tests, to evaluate the before and after of implementing a program that involved uploading videos recorded by the…
Descriptors: Social Networks, Social Media, Oral Language, Psychological Patterns
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Miroslava Petrova; Claas Kuhnen – Design and Technology Education, 2025
Integration of Artificial Intelligence (AI) in the design process is a growing area of research interest. Three years after its public launch in 2022, AI has already established itself as the most disruptive tool revolutionizing how designers conceptualize, iterate and innovate. As AI technologies continue to evolve, it is pertinent that design…
Descriptors: Artificial Intelligence, Computer Software, International Cooperation, Institutional Cooperation
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Albert Rof Bertrans; Andrea Bikfalvi; Pilar Marques – International Journal of Distance Education Technologies, 2025
Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes…
Descriptors: Preferences, Student Attitudes, Artificial Intelligence, Computer Software
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David Firth; Tyler Johnson; Shawn F. Clouse; Patricia Akello – Information Systems Education Journal, 2025
As smartphone ownership has steadily increased there has been a rise in individuals that display Problematic Smartphone Use (PSU). Through a comprehensive literature review of PSU it quickly became evident that research into PSU intervention strategies such as Cognitive Behavior Therapy (CBT) and Digital Detox are focused on "collectivist…
Descriptors: Computer Science Education, Social Media, Computer Software, Collectivism
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Kadek Adi Wibawa; I Dewa Gede Agung Pandawana; I Made Wena – Mathematics Teaching Research Journal, 2025
The integration of technology in entrepreneurship arithmetic that uses realistic mathematic education as the basis into learning processes is instrumental in creating understanding and problem-solving abilities among students. However, until recently only a few technology-based learning media have been developed to accommodate the aforementioned…
Descriptors: Mathematics Instruction, Entrepreneurship, Teaching Methods, Instructional Effectiveness
Christopher H. Clark, Editor; Cathryn van Kessel, Editor – Teachers College Press, 2025
Whether skeptical or enthusiastic about AI, every social studies educator will find something useful for their practice in this book. The introduction of widely available generative AI tools has caused a frenzy of both positive and negative reactions. Between utopian visions and apocalyptic predictions of AI's impact on education, there is a need…
Descriptors: Social Studies, Artificial Intelligence, Technology Uses in Education, Computer Software
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