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Showing 1 to 15 of 120 results Save | Export
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Ahmed Lachheb; Elizabeth Boling – Educational Technology Research and Development, 2024
In this paper, we report findings from a larger study that investigated design failure, as a phenomenon, in instructional design (ID) practice from the perspective of ID practitioners. Following an interpretive phenomenological study design, we interviewed 17 ID practitioners working in diverse settings, seeking their stories of design failure.…
Descriptors: Instructional Design, Failure, Definitions, Phenomenology
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Megan E. Welsh; Kayce L. Mastrup – Educational Technology Research and Development, 2025
This paper explores the potential of new, technology enriched teaching simulations (Simulations) to support learning. Using the principles of evidence-centered design (ECD; Mislevy et al., Measurement: Interdisciplinary Research and Perspectives. 1:3-62, 2003), we provide a roadmap for the design of: (a) simulation-based assessments (SBAs) and (b)…
Descriptors: Computer Simulation, Technology Uses in Education, Student Evaluation, Instructional Effectiveness
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Soonri Choi; Dongsik Kim; Jihoon Song – Educational Technology Research and Development, 2025
Despite the efforts of instructional design (ID) to solve real-life problems, it remains challenging to adapt and be flexible in such situations. In particular, problems that require simultaneous knowledge of multiple domains and contexts are more challenging to solve because real-life problems do not reconstruct the learned experience. This is…
Descriptors: Expertise, Instructional Design, Problem Solving, Cognitive Processes
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Palmer, Russ; Choi, Ikseon – Educational Technology Research and Development, 2023
The goal of this article is to propose a framework for understanding the nature of "how people construct problems" by interacting with situations and subsequently to offer implications for instructional design and future research. We propose that people must interactively frame the components of a situation in order to establish the…
Descriptors: Problem Solving, Epistemology, Models, Cognitive Processes
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Xiaoman Wang; Matthew Schmidt; Albert Ritzhaupt; Jie Lu; Rui Tammy Huang; Minyoung Lee – Educational Technology Research and Development, 2024
The purpose of this study was to explore the competencies of those professionals working in the nascent area of Learning Experience Design (LXD). Following systematic procedures and inspiration from our conceptual framework of LXD that emphasizes knowledge, skill, and ability statements (KSA), we collected and coded N = 388 unique LXD job…
Descriptors: Learning Experience, Occupational Information, Job Analysis, Factor Analysis
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Yunjo An – Educational Technology Research and Development, 2024
Professional organizations and researchers in the field of instructional design and technology (IDT) have attempted to identify the competencies that IDT professionals should possess using a variety of methods, including a job announcement analysis, surveys, and interviews. While most of the previous studies identified the IDT competences based on…
Descriptors: Instructional Design, Information Technology, Competence, Curriculum Development
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Taotao Long; Zhixia Zheng; Yu Shi; MingWen Tong; Zhi Liu – Educational Technology Research and Development, 2024
Inquiry-based instruction has played an important role in science education, and been recognized as a critical approach to improve students' scientific learning effectiveness. However, current research revealed that it is a challenge for teacher education programs to improve pre-service science teachers' inquiry-based instructional activity design…
Descriptors: Preservice Teachers, Instructional Design, Teaching Methods, Inquiry
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Tian Luo; Pauline S. Muljana; Xinyue Ren; Dara Young – Educational Technology Research and Development, 2025
The emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)'…
Descriptors: Artificial Intelligence, Familiarity, Instructional Design, Brainstorming
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Vishesh Kumar; Peter Wardrip; Rebecca Millerjohn – Educational Technology Research and Development, 2024
Makerspaces, especially in their diverse proliferating forms, support a broad variety of learning outcomes. There is rich work in attempting to understand and describe these learning goals. Yet, there is a lack of support for practitioners and educators to assess the learning in events and programming at makerspaces (and similar environments)…
Descriptors: Shared Resources and Services, Observation, Evaluation Methods, Program Evaluation
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Stefaniak, Jill; Baaki, John; Stapleton, Laura – Educational Technology Research and Development, 2022
When instructional designers talk about what they do, they often discuss their outcomes rather than their process. Conjecturing during decision-making requires the instructional designer to build upon their prior knowledge of the situation and experiences and make assumptions based on available information to design an appropriate solution. This…
Descriptors: Instructional Design, Teaching Methods, Decision Making, Protocol Analysis
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Amine Hatun Atas; Zahide Yildirim – Educational Technology Research and Development, 2025
This study advances the emerging research on shared metacognition through the lens of the community of inquiry framework. It seeks components and utterances of the community of inquiry and shared metacognition in online collaborative learning environments to bring an instructional design model to the fore. A three-cycle design-based research…
Descriptors: Metacognition, Instructional Design, Models, Electronic Learning
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Fan Yang; Jill E. Stefaniak – Educational Technology Research and Development, 2025
In this study, Q methodology was employed to explore instructional designers' perceptions of integrating ChatGPT in their design practices. Compared with traditional survey-based instruments that rely heavily on Likert-scale items, open-ended questions, interviews, or focus groups, Q methodology has the potential to systematically reveal and study…
Descriptors: Instructional Design, Technology Integration, Artificial Intelligence, Teacher Attitudes
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Charles M. Reigeluth; Peter C. Honebein – Educational Technology Research and Development, 2024
Since 1983, the Instructional Theory Framework (ITF) (and its subsequent improvements) has guided instructional designers and researchers in designing and developing useful learner experiences (LX). For the past 40 years, the ITF was laser-focused on the selection of instructional methods, downplaying delivery methods (media) and management…
Descriptors: Teaching Methods, Media Literacy, Improvement, Validity
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Jill E. Stefaniak; Eunkyoung Elaine Cha; Fan Yang; Stephanie Gilstrap; Liangke Yang – Educational Technology Research and Development, 2025
The current systematic review study explores instructional designer practices to develop a comprehensive understanding of strategies employed by instructional designers and the expectations of the field. Using the PRISMA protocol, a total of 98 articles were included in the review consisting of 65 qualitative, 15 quantitative, and 18 mixed-methods…
Descriptors: Instructional Design, Educational Research, Teacher Attitudes, Decision Making
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Muruvvet Demiral-Uzan; Elizabeth Boling – Educational Technology Research and Development, 2024
This qualitative multi-case study explores the exercise and development of the design judgment of eight instructional design (ID) students working on design projects over one semester in graduate programs at four different institutions in the USA. Their design processes were explored through interviews and their design documents using the concepts…
Descriptors: Instructional Design, Decision Making, Graduate Students, Student Attitudes
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