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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
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
Kaili Lu; Jianrong Zhu; Feng Pang; Rustam Shadiev – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) has brought about significant changes in our lives, making AI literacy a crucial endeavor for the future. Despite its growing importance in academia, there is limited empirical research on its impact on college students' higher order thinking skills (HOTS). The present study systematically and comprehensively explores…
Descriptors: College Students, Artificial Intelligence, Digital Literacy, Thinking Skills
Aylward, Ronald C.; Cronjé, Johannes C. – Educational Technology Research and Development, 2022
The pedagogical paradigms of Direct instruction (behaviorism/objectivism) and Constructivism are often seen as opposing paradigms at the ends of an instructional design continuum. Unfortunately, this view makes the two approaches mutually exclusive. Designers must use the one at the expense of the other. A previous study proposed that the two…
Descriptors: Instructional Design, Behaviorism, Constructivism (Learning), Mastery Learning
Swan, Richard H.; Plummer, Kenneth J.; West, Richard E. – Educational Technology Research and Development, 2020
In this paper, we synthesize research on the nature and development of expertise to propose a developmental model that describes four main areas of expert knowledge: procedural, conditional, and conceptual knowledge, along with knowledge generation. We propose that these types of expert knowledge map onto and promote the development of four types…
Descriptors: Expertise, Higher Education, Models, Knowledge Level
Elwood, Kristin; Jordan, Michelle E. – Educational Technology Research and Development, 2022
The educational landscape continues to become increasingly complex, which suggests a need for a teacher-driven creative approach to developing instructional lessons. This article introduces the Design Thinking and Instructional Lessons (DTAIL) model and describes its three-phase development. In Phase I, the Design Thinking literature and the first…
Descriptors: Models, Instructional Design, Instructional Development, STEM Education
Rosenberg-Kima, Rinat B.; Merrill, M. David; Baylor, Amy L.; Johnson, Tristan E. – Educational Technology Research and Development, 2022
Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…
Descriptors: Computer Science Education, Instructional Effectiveness, Novices, Programming
Nathan Mentzer; Elnara Mammadova; Adrie Koehler; Lakshmy Mohandas; Shawn Farrington – Educational Technology Research and Development, 2025
During COVID, HyFlex gained popularity and became a "new normal" that educators need to consider as an effective instructional approach. Previous research offers conflicting findings related to the impact of HyFlex instruction on students' basic psychological needs and academic performance. Our investigation provides insight into a…
Descriptors: Psychological Needs, Academic Achievement, Pandemics, COVID-19
Gyeong-Geon Lee; Hun-Gi Hong – Educational Technology Research and Development, 2024
The COVID-19 pandemic has compelled innovations in science teaching and learning, such as blending online sessions with conventional face-to-face classes. We developed and validated the Blended Laboratory and E-learning iNstructional Design (BLEND) model for university-level remote laboratory sessions (RLS) to respond to the fluctuating…
Descriptors: COVID-19, Pandemics, Educational Innovation, Blended Learning
Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2022
National and state science learning standards urge K-12 educators to offer authentic Science, Technology, Engineering, and Mathematics learning experiences. One way to fulfill this goal is to prepare preservice science teachers to integrate computer science skills, such as coding, into science education learning contexts that can benefit from it.…
Descriptors: Preservice Teachers, Science Teachers, Coding, Simulation
Lai, Chin-Feng; Zhong, Hua-Xu; Chang, Jui-Hung; Chiu, Po-Sheng – Educational Technology Research and Development, 2022
A web design course has complex and diverse skills, which may attract students with an interest in technology and art fields to learn to program. It makes a need to have a flexible learning framework to develop all students to learn in a programming course. This study was designed to develop students' learning achievement and computational…
Descriptors: Models, Flipped Classroom, Programming, Academic Achievement
Park, Soyoung – Educational Technology Research and Development, 2019
This paper explores another format for mobile learning (mLearning) content consisting of Still Pictures, Audio, and Text (SPAT; Rha, Instructional contents delivery through SPAT format in mobile environment: introduction to gglearn system, Global Knowledge Alliance International Forum, 2015) by considering a variety of mLearning needs. SPAT-based…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Illustrations
Shah, Veenita; Murthy, Sahana; Warriem, Jayakrishnan; Sahasrabudhe, Sameer; Banerjee, Gargi; Iyer, Sridhar – Educational Technology Research and Development, 2022
MOOCs support the global need of learning resources with large impact through online access and no geographical boundaries. However, pedagogical design limitations in MOOCs are known to result in passive role of the learner, lack of learner connect and engagement, limited interactivity with course content and peers, all of which result in low…
Descriptors: Student Centered Learning, Online Courses, Instructional Design, Models
Bennett, Sue; Agostinho, Shirley; Lockyer, Lori – Educational Technology Research and Development, 2017
Interest in how to support the design work of university teachers has led to research and development initiatives that include technology-based design-support tools, online repositories, and technical specifications. Despite these initiatives, remarkably little is known about the design work that university teachers actually do. This paper…
Descriptors: College Faculty, Instructional Design, Foreign Countries, Qualitative Research
Lee, Kyungmee – Educational Technology Research and Development, 2018
A constructivist learning paradigm emphasises authenticity as a required condition for learning. However, the design of an online learning environment is ultimately separate from learners' real-life environments, it is inevitably challenging to make online learning authentic. In this article, the author aims to propose an alternative way of…
Descriptors: Electronic Learning, Constructivism (Learning), Communities of Practice, Online Courses