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Feon M. Smith; Sherron B. McKendall; Ann Chester; Bethany Hornbeck; Alan R. McKendall – Journal of STEM Outreach, 2018
To combat educational and health disparities, out-of-school-time (OST) STEM enrichment programs provide services to underserved youth to encourage them to pursue college and health careers. This article describes a study conducted to determine if the Health Sciences and Technology Academy (HSTA) program participants who receive year-round…
Descriptors: Middle School Students, Grade 8, Underserved Students, STEM Education
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Rissanen, Antti; Saastamoinen, Kalle – International Baltic Symposium on Science and Technology Education, 2021
The National Defense University (NDU) trains officers to develop their academic and professional skills. To accomplish this, the university offers two mandatory courses on methodological training for military technology students for master level education. The first course was theoretically oriented, and the second course was practically oriented.…
Descriptors: Universities, Armed Forces, Military Personnel, Mathematics Skills
European Union, 2021
The Education and Training (ET) 2020 Working Groups (WGs), involving over 400 experts from Member States' administrations and other stakeholders, are one of the main instruments in the toolbox of the Strategic Framework for European cooperation in education and training (ET 2020). Through mutual learning and the identification of good practices,…
Descriptors: Foreign Countries, Educational Practices, COVID-19, Pandemics
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Best, Marnie – Australian Journal of Teacher Education, 2017
Design and Technologies challenges students to think differently: to think critically and creatively. Yet, how, when and why students are exposed to Design and Technologies curriculum in school classrooms is at the prerogative of their teacher. For this reason, it is imperative that pre-service teachers are inspired by and engaged through…
Descriptors: Preservice Teachers, Beliefs, Student Teacher Attitudes, Scientific Attitudes
Office of Educational Technology, US Department of Education, 2017
Stephenville Independent School District serves a rural township in central Texas between Fort Worth and Abilene. The district enrolls students in grades Prekindergarten through 12. The student population is predominantly White (68%), with about 26% Hispanic. Nearly half (46%) of students qualify for free or reduced-price lunch, and 8% are…
Descriptors: Rural Schools, Rural Education, School Districts, Technology Uses in Education
Kristina Stalter – Online Submission, 2026
This action research, qualitative case study examined how nontraditional student teachers experience virtual supervision. The bounded case included three adult candidates in an Illinois alternative certification program. Data were collected through four semi-structured Zoom interviews per participant across the semester, supplemented by lesson…
Descriptors: Student Teaching, Nontraditional Students, Student Experience, Student Teachers
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Buzzetto-Hollywood, Nicole A.; Alade, Ayodele Julius – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This paper presents the preliminary findings of a pilot survey that sought to examine the technology uses, backgrounds, needs, interests, career goals, and professional expectations of Generation Z students enrolled at a minority serving institution in the United States Mid-Atlantic region. Background: Students entering college today…
Descriptors: Minority Group Students, Technology Uses in Education, Student Characteristics, Student Needs
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María Agustina Tuzinkievicz; Nadia Soledad Peralta; Mariano Andrés Castellaro – European Journal of Psychology of Education, 2025
The present study examined the influence of the technological environment and the technological mediation on argumentative interactions among university students. Eighty-two students, paired in dyads, participated in discussions on an academic task in different settings (face-to-face, chat, video call), and with or without technological mediation…
Descriptors: Influence of Technology, Persuasive Discourse, Environmental Influences, College Students
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Anja Amundrud; Ingvill Rasmussen; Paul Warwick – Teacher Development, 2025
Collaboratively established talk rules, combined with teacher scaffolding, can help students talk together in ways that support learning. Most classrooms today utilise digital technology, and talk rules have proven beneficial for learning in this context. However, research on the strategies teachers use to make talk rules relevant in activities…
Descriptors: Faculty Development, Teacher Collaboration, Classroom Communication, Technology Uses in Education
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Nurassyl Kerimbayev; Karlygash Adamova; Rustam Shadiev; Zehra Altinay – Smart Learning Environments, 2025
This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 ?articles on the topic. Materials were checked for compliance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Databases
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Jana Duckett; Nicole M. Westrick – Communication Teacher, 2025
The integration of generative artificial intelligence (genAI) into public relations and communication education presents new challenges and ethical considerations for educators. This paper presents a series of activities to explore implications of genAI adoption in public relations and communication professions, focusing on the need to equip…
Descriptors: Artificial Intelligence, Communications, Public Relations, Ethics
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Harry Barton Essel; Dimitrios Vlachopoulos; Henry Nunoo-Mensah; John Opuni Amankwa – British Journal of Educational Technology, 2025
Conversational user interfaces (CUI), including voice interfaces, which allow users to converse with computers via voice, are gaining wide popularity. VoiceBots allow users to receive a response in real-time, regardless of the communication device. VoiceBots have been explored in fields such as customer service to automate repetitive queries and…
Descriptors: Foreign Countries, Artificial Intelligence, Program Effectiveness, Undergraduate Students
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Habeeb Yusuf; Arthur Money; Damon Daylamani-Zad – Educational Technology Research and Development, 2025
The ever-changing global educational landscape, coupled with the advancement of Web3, is seeing rapid changes in the ways pedagogical artificially intelligent conversational agents are being developed and used to advance teaching and learning in higher education. Given the rapidly evolving research landscape, there is a need to establish what the…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
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Sarah T. Zipf; Tehniyet Azam; Chuaho Wu – Journal on Excellence in College Teaching, 2025
Technostress--or the constant connection, disruption, distraction, and need to learn caused by new technology--can make instructors feel overwhelmed, tired, or disengaged, impacting their ability to teach. As institutions continue to invest resources for growing their technology portfolios, the authors investigated how instructor technostress…
Descriptors: Technology Uses in Education, Anxiety, Educational Technology, College Faculty
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Rani Van Schoors; Jan Elen; Annelies Raes; Stefanie Vanbecelaere; Kamakshi Rajagopal; Fien Depaepe – Technology, Knowledge and Learning, 2025
The ever-evolving landscape of education is constantly intersecting with rapid advances in technology. Digital personalized learning (DPL)--learning which occurs in a digital learning environment that adapts to the individual learner--is believed to benefit both students and teachers. While DPL is believed to benefit students and teachers, there…
Descriptors: Teacher Attitudes, Electronic Learning, Individualized Instruction, Theory Practice Relationship
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