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Ilana Ram; Sara Harris; Ido Roll – International Journal of Artificial Intelligence in Education, 2024
Personalization in education describes instruction that is tailored to learners' interests, attributes, or background and can be applied in various ways, one of which is through choice. In choice-based personalization, learners choose topics or resources that fit them the most. Personalization may be especially important (and under-used) with…
Descriptors: MOOCs, Individualized Instruction, Student Interests, Active Learning
Fatema Al Nabhani; Mahizer Bin Hamzah; Hassan Abuhassna – Contemporary Educational Technology, 2025
This study sought to investigate the effects of employing artificial intelligence (AI) on the customization of educational content and the enhancement of academic performance and engagement among students and teachers. The research involved a sample of ninth-grade students and their educators from diverse subjects, utilizing questionnaires to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Learning Experience
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Hon Keung Yau; Ka Fai Tung – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Computer Software, Technology Integration
Fatima Rahioui; Mohammed Ali Tahri Jouti; Mohammed El Ghzaoui – Journal of Educators Online, 2024
Artificial intelligence (AI) is now affecting all aspects of our social lives. Without always knowing it, we interact daily with intelligent systems. They serve us invisibly. At least that is the goal we assign to them: to make our lives better, task by task. Artificial intelligence has the potential to make biology education more engaging,…
Descriptors: Artificial Intelligence, Biological Sciences, Scientific Concepts, Technology Integration
Sonia J. Ferns; Karsten E. Zegwaard; T. Judene Pretti; Anna D. Rowe – Higher Education Research and Development, 2025
The scope of work-integrated learning (WIL) has expanded and evolved globally and is a recognised pedagogy that enhances graduate employability, strengthens students' personal attributes, and affords a personalised learning experience. Despite abundant research and discourse on WIL, misconceptions about what WIL is and how WIL educative…
Descriptors: Curriculum Design, Work Based Learning, Stakeholders, Global Approach
XiaoShu Xu; Zhiyou Li; Wilson Cheong Hin Hong; Xinyu Xu; YunFeng Zhang – Education and Information Technologies, 2024
This review provides a critical assessment of Personal Learning Environments (PLEs) and personalized learning within formal education by juxtaposing their beneficial effects against the potential issues that could impede their effective use. Through meticulous screening and reviewing procedures, 53 articles were thematically analyzed and the main…
Descriptors: Individualized Instruction, Independent Study, Definitions, Barriers
Hajar Majjate; Youssra Bellarhmouch; Adil Jeghal; Ali Yahyaouy; Hamid Tairi; Khalid Alaoui Zidani – Education and Information Technologies, 2025
In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Haruna Abe; Kay Colthorpe; Pedro Isaias – Discover Education, 2025
To improve the online learning experience, adaptive learning technologies are being used to personalise learning content to suit individual learning needs, with learning analytics being integrated to collect data about the student usage behaviour on the platform. Research indicates that the adaptive learning platforms promote a supportive learning…
Descriptors: Physiology, Science Instruction, Instructional Design, Learning Management Systems
Adrienne M. Martino-Ortiz – ProQuest LLC, 2024
Urban middle school students in the United States have shown a declining interest in science and poorer science learning outcomes compared to the past. Museum learning experiences can potentially improve these students' interest and learning in science through interactive, personalized exhibits. This qualitative action research study asked the…
Descriptors: Middle School Students, Urban Schools, Science Interests, Low Achievement
Hafiz Muhammad Ihsan Zafeer; Samra Maqbool; Yu Rong; Sufyan Maqbool – International Journal of Technology in Education and Science, 2025
The integration of digital learning tools in school science classes has garnered significant attention, prompting an investigation into their effects on student engagement and achievement. This study examines the impact of students' access to technology, teachers' digital competency, and the frequent use of digital tools on the engagement and…
Descriptors: Science Achievement, Science Instruction, Middle School Students, Science Teachers
Oscar Yecid Aparicio-Gómez; Olga Lucia Ostos-Ortiz; Constanza Abadía-García – Journal of Technology and Science Education, 2024
In today's educational environment, the convergence of emerging technologies and active methodologies has become a fundamental driver of change in university education. Emerging technologies, such as artificial intelligence, virtual reality, machine learning, and data analytics, are redefining the dynamics of higher education. Active…
Descriptors: Technological Advancement, Technology Uses in Education, Higher Education, Problem Based Learning
Gembo Tshering – Mathematics Teaching Research Journal, 2024
Algebra is critical in shaping future mathematics success and is integral to the K-12 curriculum. Despite its inclusion, a common challenge arises as students' progress to higher grades without a solid foundation, resulting in challenging learning experiences. This action research study focuses on the algebraic learning experience of a Grade 7…
Descriptors: Grade 7, Intervention, Algebra, Mathematics Instruction
Ling Xiao; Teddy Foster – Cogent Education, 2024
It is well documented that the impact of assessments on students' learning is profound. There have been initiatives to incorporate innovative assessments in accounting and finance education to enhance students' learning experience in various ways. However, there is limited research investigating whether and how the students' learning experience is…
Descriptors: Undergraduate Students, Finance Occupations, Accounting, Student Attitudes
Alicia Daniels – ProQuest LLC, 2024
Providing differentiated learning experiences for every student is one of the goals behind teacher collaboration (Reeves, 2003; Byrd, 2020). The problem examined in this study was that collaborative planning has been used as a solution to improve instructional quality in low-resourced schools, without assessing the effectiveness of that solution…
Descriptors: Teacher Attitudes, Individualized Instruction, Learning Experience, Teacher Collaboration
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