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Jill E. Stefaniak; Tonia Dousay; Tutaleni I. Asino; Lauren M. Bagdy – TechTrends: Linking Research and Practice to Improve Learning, 2025
In this theoretical paper, we advocate for educational researchers to embrace co-design as a means of fostering sustainable solutions in educational settings. While co-design has been increasingly recognized for its collaborative potential, we suggest that its effectiveness can be further enhanced by drawing from three complementary perspectives:…
Descriptors: Instructional Design, Educational Research, Decision Making, Ethnography
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Jeffrey A. Greene; Helen Crompton – TechTrends: Linking Research and Practice to Improve Learning, 2025
The increasing ubiquity of digital technologies in the twenty-first century has led to calls for education reform focused on digital literacy, but what exactly does this term mean? The concept of digital literacy has evolved much since its evolution from media and new literacies scholarship, resulting in a myriad of definitions. Previous attempts…
Descriptors: Digital Literacy, Definitions, Educational Policy, Instructional Design
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Jill E. Stefaniak; Fan Yang; Stephanie Gilstrap; Liangke Yang – TechTrends: Linking Research and Practice to Improve Learning, 2025
As higher education institutions increasingly expand their online course offerings, the role of instructional designers in enhancing instructional quality and effectiveness becomes critical. This study surveyed practicing instructional designers to explore the specific tasks they perform performed in higher education and identifies factors that…
Descriptors: Instructional Design, Higher Education, Design, Online Courses
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Fan Yang; Komal Farooq; Sicheng Jin; Hyejin Hwang; Jill Stefaniak – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study explores instructional designers' perspectives on the prioritization of competencies relevant to their professional practices. The competencies examined in this study are derived from the 2012 International Board of Standards for Training, Performance, and Instruction (IBSTPI). Using Q methodology, a unique approach that combines…
Descriptors: Instructional Design, Competence, Educational Practices, Educational Development
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Rita Fennelly-Atkinson; Deblina Pakhira – TechTrends: Linking Research and Practice to Improve Learning, 2024
Intersectionality and positionality can be used to examine how various aspects of identity are analyzed in the context of learners' lived experiences. When examining how learners are recognized for their skills and competencies, there are several ways in which education and credentials can be leveraged. Autoethnographies were used to examine the…
Descriptors: Microcredentials, Intersectionality, Autobiographies, Ethnography
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Suzanne Smith; Tian Luo – TechTrends: Linking Research and Practice to Improve Learning, 2024
Instructional designers perform informal formative evaluation in design practice. An evaluation may be used to locate errors in alignment of instructional objectives or to increase the quality or effectiveness of a design. An instructional design review is similar to peer reviews in higher education which are often structured, and tools are…
Descriptors: Instructional Design, Feedback (Response), Formative Evaluation, Alignment (Education)
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Ana E. Redstone; Tian Luo – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article focuses on the practical implementation of Universal Design for Learning (UDL) in an online computer science course, articulating the collaborative efforts between the instructional designer (the first author) and the faculty member to redesign the course using UDL principles. Specific instances of redesigned learning modules and…
Descriptors: Electronic Learning, Computer Science, Student Empowerment, Higher Education
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Gi Woong Choi; Soo Hyeon Kim; Daeyeoul Lee; Jewoong Moon – TechTrends: Linking Research and Practice to Improve Learning, 2024
Recently, generative AI has been at the center of disruptive innovation in various settings, including educational sectors. This article investigates ChatGPT, which is one of the most prominent generative AI in the market, to explore its usefulness and potential for instructional design. Four researchers used a set of prompts to generate a course…
Descriptors: Artificial Intelligence, Instructional Design, Information Technology, Course Content
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Dabae Lee; Jozenia T. Colorado-Resa; Yeol Huh – TechTrends: Linking Research and Practice to Improve Learning, 2025
This developmental study explores the process and outcomes of creating an active learning classroom within a higher education setting. To support student success, institutions have increasingly redesigned their learning spaces to promote active learning. Early initiatives often aimed to facilitate collaborative learning and reduce reliance on…
Descriptors: Higher Education, Active Learning, Classroom Environment, Classroom Design
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Jill Stefaniak; Lauren Bagdy; Liangke Yang – TechTrends: Linking Research and Practice to Improve Learning, 2024
By considering the interconnectedness of various elements, such as curriculum, instruction, assessment, and school organization, systems thinking provides a framework to understand the underlying patterns, feedback loops, and leverage points that shape educational outcomes. Frick's (1993) systems view of restructuring education supports the notion…
Descriptors: Educational Environment, Teaching Methods, Instructional Design, Systems Approach
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Meimei Xu; Jill Stefaniak – TechTrends: Linking Research and Practice to Improve Learning, 2024
Instructional design problems are one of the most complicated and ill-structured types of problems due to the dynamic nature of design problems and decision-making processes. Formulating instructional design solutions thereby requires teachers to possess adequate decision-making knowledge and skills and apply them to instructional design. This…
Descriptors: Preservice Teachers, Teacher Education Programs, Instructional Design, Decision Making
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Stephanie R. Couch; Melinda Z. Kalainoff – TechTrends: Linking Research and Practice to Improve Learning, 2024
This system-level ethnographic study of a strength-based approach to transforming a national invention education program makes visible how program leadership drew on research and their own expertise to shift who and how they served. With data analysis grounded in program reports, documentation, and internal and published research, the program's…
Descriptors: Ethnography, Program Administration, Kindergarten, Elementary Secondary Education
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Alexis Danielle Bolick; Rafael Leonardo da Silva – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation…
Descriptors: Artificial Intelligence, Instructional Design, Task Analysis, Ethics
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Lauren Eutsler; Christopher Sean Long – TechTrends: Linking Research and Practice to Improve Learning, 2024
Virtual reality is a rapidly growing technological innovation that continues to garner attention for use in education. This self-study of two teacher educators spans immersive head-mounted virtual reality implementation from 2014-2023 with middle-grades students, preservice teachers, and adult learners. Empirical data sources include learner…
Descriptors: Computer Simulation, Assistive Technology, Educational Technology, Middle School Students
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Betül Czerkawski – TechTrends: Linking Research and Practice to Improve Learning, 2025
In the rapidly evolving landscape of higher education, we are witnessing an unprecedented surge in the use of Artificial Intelligence (AI). This rapid surge necessitates a thorough exploration of how faculty members, instructional designers, and researchers adopt AI, especially GenAI, using learning design practices. The present research study…
Descriptors: Convergent Thinking, Creative Thinking, Creativity, Artificial Intelligence
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