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Wenqiang Dai; Qiongyao Liu; Yuemin Gao; Wenjing Liu; Shaojuan Ouyang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The traditional curriculum design methods suffer from issues like outdated content and limited instructional approaches. To address these, this article proposes an optimized curriculum design system that integrates CAD and neural network models. This system enables intelligent curriculum content generation, introduces CAD-assisted instructional…
Descriptors: Curriculum Design, Computer Assisted Design, Artificial Intelligence, Computer Uses in Education
Craig A. Chin – Advances in Engineering Education, 2025
Differentiated instruction (DI) is a teaching approach in which learning experiences are designed and adapted to meet students' diverse needs to facilitate student success. Advocates of this approach have implemented it in primarily K-12 learning environments with limited investigations into implementing it in college/engineering course…
Descriptors: Individualized Instruction, Readiness, Engineering Education, Learning Modules
Liu, Zhichun; Moon, Jewoong – Educational Technology & Society, 2023
In this study, we have proposed and implemented a sequential data analytics (SDA)-driven methodological framework to design adaptivity for digital game-based learning (DGBL). The goal of this framework is to facilitate children's personalized learning experiences for K-5 computing education. Although DGBL experiences can be beneficial, young…
Descriptors: Learning Analytics, Design, Game Based Learning, Computation
Yi Sun; Longhai Xiao – Educational Studies, 2024
Differentiated Instruction (DI) is a hot topic in educational research. Keeping abreast of its latest developments and frontiers can provide new perspectives for future study. Using CiteSpace software, 1086 publications included in the Web of Science core collection from 2000 to 2020 were analysed to create knowledge maps of DI research. The…
Descriptors: Trend Analysis, Individualized Instruction, Educational Research, Bibliometrics
Mathias Mejeh; Livia Sarbach – Technology, Knowledge and Learning, 2025
Self-regulated learning (SRL) is an important aspect of successful knowledge acquisition. Adaptive learning technology (ALT) is a form of educational technology that can improve SRL by offering learners personalized and timely support. Despite the potential of ALT to support SRL, its integration into schools' pedagogical practices remains a…
Descriptors: Educational Technology, Technology Uses in Education, Individualized Instruction, Independent Study
Mathias Mejeh; Martin Rehm – Educational Technology Research and Development, 2024
Educational technology plays an increasingly significant role in supporting Self-Regulated Learning (SRL), while the importance of Adaptive Learning Technology (ALT) grows due to its ability to provide personalized support for learners. Despite recognizing the potential of ALT to be influential in SRL, effectively addressing pedagogical concerns…
Descriptors: Educational Environment, Natural Language Processing, Educational Technology, High School Students
Timothy Gallagher; Bert Slof; Marieke van der Schaaf; Michaela Arztmann; Sofia Garcia Fracaro; Liesbeth Kester – Journal of Computer Assisted Learning, 2024
Background: Learning analytics dashboards are increasingly being used to communicate feedback to learners. However, little is known about learner preferences for dashboard designs and how they differ depending on the self-regulated learning (SRL) phases the dashboards are presented (i.e., forethought, performance, and self-reflection phases) and…
Descriptors: Learning Analytics, Experiential Learning, Individualized Instruction, Computer System Design
Xueyu Sun; Ting Wang – International Journal of Information and Communication Technology Education, 2024
This study innovates English network teaching by applying a refined Association Rule Mining (ARM) algorithm. It integrates an "interest" parameter into ARM, dynamically adapting content to individual learners' profiles, improving engagement and outcomes. Controlled experiments, spanning diverse online platforms, validate the ARM model's…
Descriptors: Models, Design, Algorithms, Individualized Instruction
Tenório, Kamilla; Dermeval, Diego; Monteiro, Mateus; Peixoto, Aristoteles; Silva, Alan Pedro da – International Journal of Artificial Intelligence in Education, 2022
There is growing interest in applying gamification to adaptive learning systems to motivate and engage students during the learning process. However, previous studies have reported unexpected results about student outcomes in these systems. One of the causes of these unfavorable effects is the lack of monitoring and adaptation of gamification…
Descriptors: Gamification, Design, Individualized Instruction, Educational Objectives
Kucirkova, Natalia; Gerard, Libby; Linn, Marcia C. – British Journal of Educational Technology, 2021
Advances in technology have increased the opportunities for designers to personalise instruction based on student actions. We conducted semi-structured interviews with an international sample of educational professionals including researchers, teachers and designers, and reviewed interdisciplinary literature on personalisation to propose a…
Descriptors: Individualized Instruction, Instructional Design, Educational Research, Problems
Laura E. Arrington; Stefanie Becerril; Leilani Iem – Teaching and Learning in Communication Sciences & Disorders, 2024
Instructors in Communication Sciences and Disorders (CSD) have used problem-based learning (PBL) for a variety of purposes across academic levels. Problem-based learning offers a framework for considering and including student strengths. In this paper, the authors describe the development of a PBL with specific utility to an introductory CSD…
Descriptors: Problem Based Learning, Speech Language Pathology, Audiology, College Faculty
Zehra Tugba Guzel – Turkish Online Journal of Distance Education, 2024
The advent of digital technology has enabled the development of alternative learning methods that enable personalized education to meet the demands of the modern era. Regardless of geographical location and time, online education facilitates the provision of personalized learning opportunities through asynchronous or synchronous recording. Thanks…
Descriptors: Individualized Instruction, Electronic Learning, Informal Education, Evaluation
Danielle Herro; Golnaz Arastoopour Irgens; Jeremiah Akhigbe; McKenzie Martin Rowland – Journal of Digital Learning in Teacher Education, 2025
Preparing elementary-aged children to practice data science literacies is important and understudied. Our research investigates how data science curricula might be effectively designed and integrated into elementary classroom instruction. We use narrative case study methodology, focusing on a single case detailing a second-grade teacher's approach…
Descriptors: Data Science, Computer Games, Handheld Devices, Grade 2
Da-Lun Chen; Kirsi Aaltonen; Hannele Lampela; Jaakko Kujala – Technology, Knowledge and Learning, 2025
The breakthrough in generative artificial intelligence (AI) has unlocked new possibilities for higher education. There are many studies on educational chatbots in the fields of science, technology, engineering, and mathematics; however, studies on designing and leveraging chatbots in a multidisciplinary field like project management have been…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Ghorashi, Bahman – Chemical Engineering Education, 2023
Due to the structured format of most engineering courses, the number of opportunities for engineering students to view matters differently from the traditional ways is limited. Therefore, a mandatory requirement was introduced into three engineering courses for students to propose an out of the ordinary solution to certain technical problems,…
Descriptors: College Students, Engineering Education, Creativity, Assignments