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David W. Jackson; Helen Zhang; Fahd Abdus-Sabur – TechTrends: Linking Research and Practice to Improve Learning, 2025
During young adolescence, many youth develop strong identities in relation to science, technology, engineering and mathematics with computing (STEM + C). One way to design for student engagement in STEM + C is to create project-based units that leverage students' interests. We created one such unit, called the "smart greenhouse project".…
Descriptors: Instructional Design, Computer Uses in Education, STEM Education, Student Projects
Ngocvan Bui; Jessica Collier; Yunus Emre Ozturk; Donggil Song – TechTrends: Linking Research and Practice to Improve Learning, 2025
The popularity of generative AI chatbots, such as ChatGPT, has sparked numerous studies investigating their use in educational contexts. However, it is important to note that chatbots are not a new phenomenon; researchers have explored conversational agents across diverse fields for decades. Conversational agents engage users in natural language…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education, Technology Integration
Yu-Hui Ching; Sasha Wang; Min Long – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study explored pre-service teachers' perceptions of a 3D printing integrated science, technology, engineering, and mathematics (STEM) module within a college-level mathematics content course. Data from surveys and reflections collected from nineteen participants were analyzed. Results indicated that the pre-service teachers perceived…
Descriptors: Printing, Computer Peripherals, STEM Education, College Mathematics
Sami Tlais; Ali Alkhatib; Rasha Hamdan; Hassan HajjHussein; Kassem Hallal; Wassim El Malti – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study examines the integration of artificial intelligence (AI) chatbots within higher education, focusing on the early feedback from STEM faculty members in Lebanon, particularly in the context of their widespread use among students. As AI intersects with traditional scientific inquiry, its incorporation into educational frameworks introduces…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, STEM Education
Helen Benson; Keith Heggart; Kylie A. Williams; Chloé Smit; Patrick Abela – TechTrends: Linking Research and Practice to Improve Learning, 2025
This article investigates the effectiveness of a newly developed online tool for assessing and improving the design and accessibility of Learning Management System (LMS) sites in Higher Education. The study employs a mixed-methods approach, incorporating both quantitative and qualitative data. Results from 25 subject coordinators and 3 peer…
Descriptors: Blended Learning, Learning Management Systems, Higher Education, Usability
Weijian Yan; Victoria L. Lowell – TechTrends: Linking Research and Practice to Improve Learning, 2025
Virtual Reality (VR) has been utilized in foreign language education for over 50 years, and it has gone through four distinct stages in foreign language education: Two-dimensional (2D) text-based VR, three-dimensional (3D) desktop-based VR, 3D HMD-based VR, and AI-enhanced 3D HMD-based VR. Drawing on relevant studies and examples, this article…
Descriptors: Computer Simulation, Second Language Instruction, Second Language Learning, Artificial Intelligence
Jeromie Whalen; William Grube; Chenyang Xu; Torrey Trust – TechTrends: Linking Research and Practice to Improve Learning, 2025
Launched in November of 2022, the generative artificial intelligence tool ChatGPT garnered immediate societal interest and adoption as its advanced large language modeling proved capable of producing sophisticated, human-like responses to user-generated prompts. In this preliminary study, K-12 teachers in the United States were surveyed on their…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Teacher Response
Boulus Shehata; Ahmed Tlili; Ronghuai Huang; Charles B. Hodges; Asha Kanwar – TechTrends: Linking Research and Practice to Improve Learning, 2025
There is a knowledge gap in tracing and analyzing historical records (e.g., annual or bi-annual) of educational technology, particularly, exploring emerging technology trends and their uptake in education. This study addresses this gap by reviewing technology adoption in education, based on bibliometric and content analyses of EDUCAUSE Horizon…
Descriptors: Technology Uses in Education, Technology Integration, Technological Advancement, Educational Trends
Jennifer Jihae Park; Patricia Milner – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite continuous discussions on Generative Artificial Intelligence (Gen AI) ethics in academia, limited studies examine the perceptions of students or the application of ChatGPT with non-traditional students. We report an exploratory single case of a two-week orientation offered to non-traditional students entering online bachelor's degree…
Descriptors: Artificial Intelligence, Undergraduate Students, Nontraditional Students, Virtual Universities
Elisa Nadire Caeli; Francesco Caviglia; Jeppe Bundsgaard – TechTrends: Linking Research and Practice to Improve Learning, 2025
In this study, we have examined gender differences in the way students relate to information and communication technologies (ICT), to learn more about their perceptions of gender-based stereotypes in this area. This study is based on the results of the 2018 International Computer and Information Literacy Study (ICILS), specifically regarding…
Descriptors: Foreign Countries, Grade 8, Information Technology, Technology Integration
A. Devisakti; M. I. Rohayati – TechTrends: Linking Research and Practice to Improve Learning, 2025
Students from diverse backgrounds often face challenges that are not in parallel with the evolution of equitable assessments in higher education. Thus, this study employed the UTAUT model with the inclusion of additional constructs, namely self-efficacy and technology awareness, to examine the intention to use online assessments among diverse…
Descriptors: Computer Assisted Testing, Student Diversity, Self Efficacy, Technological Literacy
Merve Basdogan; Ceren Gokmen; Ibrahim Akdilek – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study examines the pedagogical decision-making of teacher candidates in virtual reality (VR) environments, focusing on instructional strategies, spatial interactions, and associated challenges. Using a descriptive phenomenological approach, class recordings and debriefing interviews with five U.S.-based teacher candidates were analyzed, and…
Descriptors: Decision Making, Spatial Ability, Computer Simulation, Phenomenology
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Yalun Zhou; Rahul Divekar – TechTrends: Linking Research and Practice to Improve Learning, 2025
The integration of design thinking with extended reality (XR) and artificial intelligence (AI) offers transformative potential for second language (L2) learning by providing immersive, interactive, and personalized experiences. Despite significant advancements in XR and AI technologies, their practical integration within formal language education…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Simulation
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
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