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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
Kandemir, Ismail; Cicek, Kadir – Education and Information Technologies, 2023
Due to the inherently dangerous environment in the maritime industry, it is an essential aspect for the human resources in the industry to have a high level of knowledge, skill and competence. Therefore, maritime education and training needs to be structured as a unique instructional design model that will ensure the acquisition of the required…
Descriptors: Instructional Design, Models, Marine Education, Safety Education
Stefaniak, Jill; Xu, Meimei – TechTrends: Linking Research and Practice to Improve Learning, 2020
The majority of instructional design models have directed focus on instructional design activities such as analysis, design, development, implementation, and evaluation. Criticisms regarding instructional design models have suggested that the use of these models provides instructional designers with a limited view of the design environment. This…
Descriptors: Models, Instructional Design, Criticism, Correlation
Michele Dickey – Journal of Educational Multimedia and Hypermedia, 2025
Instructional design is a design discipline that bridges science and arts-based practices. It has a long history of borrowing from various fields of design. Experience Design (XD) is a relatively new field that holds relevance for instructional design because, as a multidisciplinary approach, XD focuses on creating meaningful user experiences and…
Descriptors: Instructional Design, Learning Experience, Educational Environment, Design
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
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
Lu, Liangyue; Sides, Meredith L. C. – Practitioner to Practitioner, 2022
In this paper, the authors will discuss the application of ADDIE, a five-step instructional design model. ADDIE prescribes the generic, systematic, dynamic, and flexible instructional design process, which offers educators a productive approach to education. The authors will illustrate how to apply the model in a college-level reading lesson.…
Descriptors: Instructional Design, Models, College Students, Reading Instruction
Grapin, Scott E.; Llosa, Lorena; Haas, Alison; Lee, Okhee – Journal of Science Education and Technology, 2022
Computational models are increasingly being used in K-12 science classrooms to engage students in developing and testing explanations of phenomena. However, research has only begun to consider whether integrating computational models into science instruction could be particularly beneficial to students from diverse backgrounds, including a…
Descriptors: Affordances, Computation, Models, Science Instruction
Minhong Wang – Knowledge Management & E-Learning, 2024
Learning is an integral part of being human. How people learn has long been discussed, revealed in many learning theories, investigated in numerous studies, and demonstrated in extensive practices. The goal of this article is to rethink how people learn from four fundamental perspectives, that is, learning by interaction with content (C), learning…
Descriptors: Learning Processes, Instructional Design, Learning Experience, Teaching Methods
Les, Tomasz; Moroz, Jacek – Journal for Critical Education Policy Studies, 2021
The article raises the problem of critical thinking from a constructivist perspective. In the course of argumentation, we justify the thesis that constructivism is a valuable basis for both a theoretical approach (as a model) to critical thinking and a didactic design of activities focused on shaping and developing appropriate skills and…
Descriptors: Critical Thinking, Teaching Methods, Constructivism (Learning), Models
Qi Wang; Shengquan Yu – Interactive Learning Environments, 2024
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…
Descriptors: Electronic Learning, Educational Resources, Automation, Models
Aiman Khamitova – Prospects, 2024
Universities across the globe are transforming or upgrading their campus infrastructure to prepare students for the work in the 21st century. Such campus transformations can be important in various ways. For example, universities can introduce innovative learning spaces that support recruitment and enrollment policies on campus. Even though the…
Descriptors: Universities, Higher Education, Educational Change, Educational Innovation
Bennett, Luke; Albrecht, Alyssa – Distance Learning, 2021
As the demand for online and blended courses in higher education continues to increase, so too has the demand for and responsibilities placed upon instructional designers (ID). Through the analysis of round table discussions and relevant literature, researchers found that role discrepancies and strained faculty/ID partnership dynamics are commonly…
Descriptors: Instructional Design, Higher Education, Role, College Faculty
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
Siew, Cynthia S. Q. – Journal of Learning Analytics, 2022
This commentary discusses how research approaches from Cognitive Network Science can be of relevance to research in the field of Learning Analytics, with a focus on modelling the knowledge representations of learners and students as a network of interrelated concepts. After providing a brief overview of research in Cognitive Network Science, I…
Descriptors: Network Analysis, Learning Analytics, Cognitive Processes, Knowledge Level
Cronje, Johannes C. – Electronic Journal of e-Learning, 2020
This paper presents a model for developing research questions that are aligned to research aims for research design in e-learning. The model is proposed as a solution to the on-going problem of heterogeneity of research problems. The model is based on Burrell and Morgan's four social paradigms, and integrates four research aims, namely, explore,…
Descriptors: Research Design, Research Methodology, Educational Research, Electronic Learning