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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
Jewoong Moon; Unggi Lee; Junbo Koh; Yeil Jeong; Yunseo Lee; Gyuri Byun; Jieun Lim – Technology, Knowledge and Learning, 2025
This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Instructional Design
Shum, Lok Cheung; Rosunally, Yasmine; Scarle, Simon; Munir, Kamran – Education and Information Technologies, 2023
When the traditional "one size fits all" approach is used in designing educational games, the game context is usually arranged in a fixed sequence. However, the designated content may not effectively support the diversity of players. The player's ability and characteristics should be considered and supported with an appropriate learning…
Descriptors: Individualized Instruction, Educational Games, Student Centered Learning, Instructional Design
Tetzlaff, Leonard; Schmiedek, Florian; Brod, Garvin – Educational Psychology Review, 2021
Personalized education--the systematic adaptation of instruction to individual learners--has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when…
Descriptors: Individualized Instruction, Instructional Effectiveness, Instructional Design, Student Characteristics
Beese, Elizabeth Brott – Theory and Research in Education, 2019
This article proposes that educational personalization may be usefully understood from a process perspective. It defines educational personalization as that which occurs within any "planning or decision-making process" which runs for one student at a time, and uses "information from or about individual students," in order to…
Descriptors: Decision Making, Teaching Methods, Educational Planning, Instructional Design
Xu, Xiaoshu; Zhu, Xiaoshen; Chan, Fai Man – Interactive Learning Environments, 2023
Personal Learning Environment (PLE) represents a shift of learning paradigm towards learner-centered pedagogy, where users become masters of their own learning. PLEs are best used by learners with Self-Regulated Learning (SRL) abilities. Previous research showed that learners felt lost or socially isolated in PLEs due to their limited SRL…
Descriptors: Educational Environment, Individualized Instruction, Pilot Projects, College Students
Shearer, Rick L. – Journal of Open, Flexible and Distance Learning, 2021
All too often in our practice of distance education we overlook the history of the field and our theories as we embrace new technologies or, as in the past year, when we are forced to adapt to a regional or global crisis that necessitates a temporary move to a remote learning scenario. When we set our theories aside, this approach can lead us to…
Descriptors: Educational Theories, Distance Education, Student Characteristics, Individualized Instruction
Smets, Wouter; Struyven, Katrien – Frontline Learning Research, 2018
Differentiated instruction is a teaching philosophy and practice that deals with responding appropriately to student heterogeneity. In order to gain deep understanding of this complex concept, research methodology is challenged to use appropriate data collection and data analysis. The aim of this paper is to reflect on how system theory may be…
Descriptors: Teaching Methods, Individualized Instruction, Influences, Educational Research
Walkington, Candace; Hayata, Carole A. – ZDM: The International Journal on Mathematics Education, 2017
Context personalization is an instructional design principle where tasks are presented to students in the context of their interest areas like sports, music, or video games. Personalization allows for understanding of domain principles to be grounded in concrete and familiar experiences. By making connections to prior knowledge, personalization…
Descriptors: Student Interests, Mathematics Instruction, Cognitive Processes, Difficulty Level
Archambault, Leanna; Leary, Heather; Rice, Kerry – Educational Psychologist, 2022
The growing shift toward online learning has brought new expectations for teachers, including skills needed to combine content knowledge with engaging pedagogical strategies that leverage the affordances of technology. As a result, online pedagogy has become increasingly relevant in modern-day schools. The challenge is understanding the nature of…
Descriptors: Teaching Methods, Online Courses, Guidelines, Mastery Learning
Ferguson, Karen; Aitken, Renee – Online Journal of Distance Learning Administration, 2019
Traditionally, online learning has been limited to written lectures, readings, discussions, and assignments with an occasional video presentation or simulation included due to the limitations of technology (Kirkwood & Price, 2013). While this form of learning has served the online environment well, the process does not address individual…
Descriptors: Individualized Instruction, Individual Needs, Electronic Learning, Retention (Psychology)
Keppell, Mike – International Perspectives on Higher Education Research, 2014
This chapter will explore how the places of learning might look in next generation learning spaces where learners traverse physical and virtual spaces using personalised learning strategies. It will examine how learning spaces may represent ubiquitous spaces in which the learner undertakes some form of study or learning. Although there has been…
Descriptors: Learning Strategies, Higher Education, Computer Simulation, Instructional Design
O'Donnell, Eileen; Lawless, Séamus; Sharp, Mary; Wade, Vincent P. – International Journal of Distance Education Technologies, 2015
The realisation of personalised e-learning to suit an individual learner's diverse learning needs is a concept which has been explored for decades, at great expense, but is still not achievable by non-technical authors. This research reviews the area of personalised e-learning and notes some of the technological challenges which developers may…
Descriptors: Electronic Learning, Individualized Instruction, Programming, Authors
Deshler, Donald D. – Remedial and Special Education, 2015
In this article, I describe two of our field's most notable advancements for students with high-incidence disabilities. The first has been to enhance our knowledge of how to design effective instructional interactions between teachers and students (in both small and large groups) that lead to dramatic increases in student outcomes. The second area…
Descriptors: Instructional Design, Instructional Improvement, Teacher Student Relationship, Educational Environment
Kara, Nuri; Sevim, Nese – Contemporary Educational Technology, 2013
Since 1950s, teaching machines have changed a lot. Today, we have different ideas about how people learn, what instructor should do to help students during their learning process. We have adaptive learning technologies that can create much more student oriented learning environments. The purpose of this article is to present these changes and its…
Descriptors: Educational Technology, Teaching Machines, Computer Assisted Instruction, Instructional Design