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Pedro Luis Saraiva Barbosa; Rafael Augusto Ferreira do Carmo; João P. P. Gomes; Windson Viana – Education and Information Technologies, 2024
Adaptive learning is a teaching approach aiming to personalize the learning experience for each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can provide students with customized lessons, exercises, and assessments based on their previous knowledge, strengths, and weaknesses. Some literature reviews focus on…
Descriptors: Teaching Methods, Individualized Instruction, Educational Technology, Technology Uses in Education
Emmanuel Dumbuya – Online Submission, 2025
The exponential growth of online learning has catalyzed significant pedagogical innovations and transformed the educational landscape. This paper explores the emerging trends in online learning, including the shift towards blended learning, the rise of personalized learning, and the integration of technology-enhanced pedagogical practices. The…
Descriptors: Educational Trends, Electronic Learning, Educational Innovation, Teaching Methods
Mikhail Shchevliagin; Diana Koroleva – Turkish Online Journal of Distance Education, 2024
The process of humanization, placing a person at the heart of learning and teaching, has become a key movement in education to meet the requirements of the 21st century. In this regard, designing innovations to serve the human needs first is essential. Personalized learning (PL), being an example of a human-centric innovation, is a promising…
Descriptors: Individualized Instruction, Teacher Attitudes, Foreign Countries, Grade 5
Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
Jiang Congmeng; Adjah N. Mazlan – Journal of Pedagogical Research, 2025
This study explores the interplay between educational technology adoption, online community participation, self-paced learning, and graduate students' health promotion skills in physical education programs. It investigates how these factors facilitate or hinder skill development by examining teaching techniques and interventions in graduate…
Descriptors: Graduate Students, Health Promotion, Physical Education, Educational Technology
Prihar, Ethan; Haim, Aaron; Sales, Adam; Heffernan, Neil – Grantee Submission, 2022
Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Electronic Learning
Vassoyan, Jean; Vie, Jill-Jênn – International Educational Data Mining Society, 2023
Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…
Descriptors: Reinforcement, Networks, Simulation, Educational Technology
Krishnamoorthy, Lakshmi; Merchant, Zahira – Pedagogical Research, 2023
Persuasion is inherent to the instructional process. Instructions delivered through online programs do not always generate expected and consistent learning outcomes, and hence persuasion in online instructional design is even more critical. Through this mixed-method study, we aim to identify the most widely used persuasive design techniques, the…
Descriptors: Persuasive Discourse, Instructional Design, Electronic Learning, Learner Engagement
Brod, Garvin; Kucirkova, Natalia; Shepherd, Joshua; Jolles, Dietsje; Molenaar, Inge – Educational Psychology Review, 2023
Advancing learners' agency is a key educational goal. The advent of personalized EdTech, which automatically tailor learning environments to individual learners, gives renewed relevance to the topic. EdTech researchers and practitioners are confronted with the same basic question: What is the right amount of agency to give to learners during their…
Descriptors: Educational Technology, Interdisciplinary Approach, Personal Autonomy, Individualized Instruction
Gina Paola Barrera Castro; Andres Chiappe; Diego Fernando Becerra Rodríguez; Felipe Gonzalo Sepulveda – Electronic Journal of e-Learning, 2024
Personalized learning, a pedagogical approach tailored to individual needs and capacities, has garnered considerable attention in the era of artificial intelligence (AI) and the fourth industrial revolution. This systematic literature review aims to identify key drivers of personalized learning and critically assess the role of AI in reinforcing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Role Theory
Castañeda, Linda; Tur, Gemma; Torres-Kompen, Ricardo; Attwell, Graham – International Journal of Virtual and Personal Learning Environments, 2022
Almost 15 years after the start of the debate over Personal Learning Environments (PLE), the concept would still appear to be influential and even intrinsic to discussion over the future of educational technology and education in general. This paper aims to establish a clear thematic link between the concept of PLEs and educational academic…
Descriptors: Individualized Instruction, Independent Study, Futures (of Society), Educational Technology
Sperling, Katarina; Stenliden, Linnéa; Nissen, Jörgen; Heintz, Fredrik – European Journal of Education, 2022
Machine learning and other artificial intelligence (AI) technologies are predicted to play a transformative role in primary education, where these technologies for automation and personalization are now being introduced to classroom instruction. This article explores the rationales and practices by which machine learning and AI are emerging in…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Mathematics Instruction
Zheng, Lanqin; Long, Miaolang; Zhong, Lu; Gyasi, Juliana Fosua – Education and Information Technologies, 2022
As a learner-centered approach, technology-facilitated personalized learning has received increasing attention in the field of education. However, it is not clear whether technology-facilitated personalized learning is effective for both learning achievements and learning perceptions. This study aims to close the research gaps and examine the…
Descriptors: Educational Technology, Technology Uses in Education, Individualized Instruction, Effect Size
Areej ElSayary, Editor – IGI Global, 2025
By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates…
Descriptors: Prompting, Engineering, Artificial Intelligence, Technology Uses in Education
Alva Renee Millican – ProQuest LLC, 2023
In the discipline of nursing education, it is very important that nursing students complete their didactic and clinical education skills in order to practice as a registered nurse. It is also very important that they prepare and study to successfully pass the National Council Licensure Examination (NCLEX) and become licensed as a registered nurse…
Descriptors: Clinical Experience, Undergraduate Students, Nursing Education, Success