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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
Courchaine, Tara; Jones, Lindsay E.; McCart, Amy; Skelton, Seena M.; Ward, Caryn S.; Woods, Kari – Great Lakes Equity Center, 2023
This brief explains how four important system design initiatives frequently promoted by state and local education agencies for school improvement can be implemented through an intentional systematic approach for a powerful, positive impact on student outcomes. As technical assistance providers with expertise in four specific frameworks for…
Descriptors: Educational Improvement, Equal Education, Access to Education, Multi Tiered Systems of Support
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Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
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Hiroaki Ogata; Changhao Liang; Yuko Toyokawa; Chia-Yu Hsu; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar – Technology, Knowledge and Learning, 2024
This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…
Descriptors: Educational Technology, Instructional Design, Cooperation, Data Use
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Ian Greener – International Journal of Social Research Methodology, 2024
This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…
Descriptors: Qualitative Research, Research Methodology, Comparative Analysis, Research Design
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Stephanie Moore; Amir Hedayati-Mehdiabadi; Victor Law; Sung Pil Kang – TechTrends: Linking Research and Practice to Improve Learning, 2024
Early hype cycles surrounding new technologies may promote simplistic binary options of either adoption or rejection, but socio-historical analyses of technologies illuminate how they are worked into shape by human actors. Humans enact agency through many choices that result in adaptations and contextual variations. In this piece, we argue that…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Ethics
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P. Hariharasakthisudhan; K. Logesh; K. Sathickbasha; Sathish Kannan – Discover Education, 2025
This study presents a structured hybrid framework integrating Design Thinking (DT), the Conceive-Design-Implement-Operate (CDIO) methodology, and Root Assessment (RA) to enhance project-based learning (PBL) in engineering education. The framework addresses limitations in conventional PBL by embedding iterative ideation, structured engineering…
Descriptors: Student Projects, Active Learning, Design, Decision Making
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Harpaz, Yoram – International Journal for Talent Development and Creativity, 2021
The first part of this article describes in brief the Six Steps methodology for designing educational environments--be they K-12 schools, tertiary institutions, community centers, youth movements, or the like-- as set forth in my book "Educational Design in Six Steps: A Strategic and Practical Scaffold" (Routledge 2020). The second part…
Descriptors: Educational Facilities Design, Educational Environment, Teaching Methods, Educational Objectives
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Stefaniak, Jill; Luo, Tian; Xu, Meimei – Educational Technology Research and Development, 2021
Digital learning environments are dynamic systems that require learning designers to leverage environmental conditions and the needs of their learners. While many frameworks and studies have explored pedagogical reasoning, little emphasis has been placed on the dynamic decision-making processes of learning designers. To advance the exploration of…
Descriptors: Thinking Skills, Decision Making, Teaching Methods, Instructional Design
Fingerhut, Joelle; Xunyun, Xu; Moeyaert, Mariola – Grantee Submission, 2021
A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…
Descriptors: Case Studies, Research Design, Research Tools, Decision Making
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Newton, Paul E. – Educational Measurement: Issues and Practice, 2017
The dominant narrative for assessment design seems to reflect a strong, albeit largely implicit undercurrent of purpose purism, which idealizes the principle that assessment design should be driven by a single assessment purpose. With a particular focus on achievement assessments, the present article questions the tenability of purpose purism,…
Descriptors: Evaluation Methods, Test Construction, Instructional Design, Decision Making
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Umair Ali Khan; Janne Kauttonen; Lili Aunimo; Ari Alamäki – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The purpose of this paper is to address the challenges posed by disinformation in an educational context. The paper aims to review existing information assessment techniques, highlight their limitations, and propose a conceptual design for a multimodal, explainable information assessment system for higher education. The ultimate goal…
Descriptors: Artificial Intelligence, Higher Education, Trust (Psychology), Barriers
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Danielak, Brian – Cognition and Instruction, 2022
This paper focuses on a historically understudied area in computing education: attending to students' *design thinking* in university-level introductory programming courses. I offer an account of one student--"Rebecca"--and her experiences and code from a second-semester course on programming concepts for engineers. Using data from both…
Descriptors: Design, Computer Science Education, Programming, Introductory Courses
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Suzuki, Sara; Morris, Stacy L.; Johnson, Sara K. – Journal of Adolescent Research, 2021
How researchers use statistical analyses shapes their research toward or away from an anti-racist agenda. In this article, we demonstrate how developmental scientists can use the QuantCrit framework to critically examine the process of conducting quantitative analyses. In particular, we focus on mixture modeling to clearly demonstrate how the…
Descriptors: Statistical Analysis, Critical Theory, Race, Minority Groups
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