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Cakir, Ozlem – Journal of Learning and Teaching in Digital Age, 2022
Since Personalized Instruction increases the motivation, interest, performance and attitude of the student, it is aimed to develop an instructional management system that can be adapted to the individual, taking into account the prior knowledge level of the person who provides the personalization of all instructional materials. The project is…
Descriptors: Individualized Instruction, Electronic Learning, Calculus, College Mathematics
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Marras, Mirko; Boratto, Ludovico; Ramos, Guilherme; Fenu, Gianni – International Journal of Artificial Intelligence in Education, 2022
Online education platforms play an increasingly important role in mediating the success of individuals' careers. Therefore, while building overlying content recommendation services, it becomes essential to guarantee that learners are provided with equal recommended learning opportunities, according to the platform principles, context, and…
Descriptors: Electronic Learning, Educational Technology, Educational Opportunities, Equal Education
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Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2020
Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the…
Descriptors: Learning Analytics, Individualized Instruction, Integrated Learning Systems, Data Collection
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Louhab, Fatima Ezzahraa; Bahnasse, Ayoub; Bensalah, Faycal; Khiat, Azeddine; Khiat, Yousaf; Talea, Mohamed – Education and Information Technologies, 2020
Today with the technology development, the learning activity takes some different methods and approaches. Among these approaches, we can talk about virtual learning using the learning management systems and the flipped classroom concept. Moodle platform represents one of these systems. The limitation of this Platform is the lack of an integrated…
Descriptors: Blended Learning, Integrated Learning Systems, Online Courses, Individualized Instruction
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Hernandez Cardenas, Lizette Susana; Castano, Leticia; Cruz Guzman, Cristina; Nigenda Alvarez, Juan Pablo – Australasian Journal of Educational Technology, 2022
This study's innovative objective was to develop a personalised learning model to equate students' entry level knowledge as they entered the School of Medicine and Health Sciences at Tecnologico de Monterrey in Mexico in 2019. This was necessitated by a difference in the depth and approach to preparatory content. The methodology focused on…
Descriptors: Foreign Countries, Knowledge Level, Medical Schools, Health Sciences
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Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Education and Information Technologies, 2020
With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…
Descriptors: Electronic Learning, Internet, Information Storage, Models
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Keuning, Trynke; van Geel, Marieke – IEEE Transactions on Learning Technologies, 2021
Although many schools in the Netherlands have purchased adaptive learning systems (ALSs) to reduce workload and improve differentiated instruction, the use of ALSs with teacher dashboards in the classroom does not in itself necessarily improve differentiated instruction. The question is, what skills and knowledge do teachers need to provide…
Descriptors: Foreign Countries, Individualized Instruction, Integrated Learning Systems, Educational Technology
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Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: (1) the primary type of interaction; (2) the presentation mode; and (3) the…
Descriptors: Integrated Learning Systems, Classification, Multiple Choice Tests, Problem Solving
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Sridharan, Shwetha; Saravanan, Deepti; Srinivasan, Akshaya Kesarimangalam; Murugan, Brindha – Education and Information Technologies, 2021
There exist numerous resources online to gain the desired level of knowledge on any topic. However, this complicates the process of selecting the most appropriate resources. Every learner differs in terms of their learning speed, proficiency, and preferred mode of learning. This paper develops an adaptive learning management system to tackle this…
Descriptors: Integrated Learning Systems, Computer Assisted Instruction, Individualized Instruction, Learning Analytics
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Yilmaz, Fahri; Çakir, Hasan – Journal of Learning and Teaching in Digital Age, 2021
The purpose of this study is to define learning analytics, to introduce concepts related to learning analytics and to introduce potential study topics related to learning analytics. Today's education model has changed with evolving social and economic conditions over time. This change in education has created such new situations as individualized…
Descriptors: Learning Analytics, Definitions, Educational Change, Individualized Instruction
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Bin Qushem, Umar; Christopoulos, Athanasios; Oyelere, Solomon Sunday; Ogata, Hiroaki; Laakso, Mikko-Jussi – Education Sciences, 2021
Personalized or precision education (PE) considers the integration of multimodal technologies to tailor individuals' learning experiences based on their preferences and needs. To identify the impact that emerging multimodal technologies have on personalized education, we reviewed recent implementations and applications of systems (e.g., MOOCs,…
Descriptors: Individualized Instruction, Technology Integration, Multimedia Materials, Instructional Effectiveness
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Jørnø, Rasmus Leth; Andersen, Bjarke Lindsø; Gundersen, Peter – Nordic Journal of Studies in Educational Policy, 2022
In this theoretical paper, we argue that Tech enthusiasts and skeptics are animated by the same sociotechnical personalization imaginary to improve education and teaching through personalization, but see very different paths to this goal. Tech boosters point to well-known problems of the existing education system -- and rhetorically ask: 'why…
Descriptors: Educational Improvement, Teaching Methods, Professional Autonomy, Problem Solving
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Xu, Xiaoshu; Chan, Fai Man; Yilin, Sun – Interactive Learning Environments, 2020
English for Specific Purposes (ESP) teacher development has become a crucial issue in ESP teaching and research. How to equip ESP teachers with necessary knowledge and skills in the digital era becomes a hot topic. A Personal Learning Environment (PLE) is a potential pedagogical approach to realize learning-centered in ESP teacher development.…
Descriptors: Educational Environment, Individualized Instruction, English for Special Purposes, Language Teachers
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Mudrák, Marián; Turcáni, Milan; Reichel, Jaroslav – Journal on Efficiency and Responsibility in Education and Science, 2020
At current e-learning platforms, is often seen non-efficient usage of their possibilities when creating educational content. This article deals with the possibilities of using adaptive tools that are offered by learning management system (LMS) Moodle when creating a personalised e-course. The methodology created by the authors of the article for…
Descriptors: Individualized Instruction, Computer Science Education, Electronic Learning, Online Courses
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Mpungose, Cedric Bheki – Education and Information Technologies, 2020
First-year students are compelled by South African universities to use the Moodle e-learning management platform. Recent studies outline that this creates challenges during the learning process, since students struggle to use Moodle owing to their disadvantaged school background; however, they are familiar with and good at using the WhatsApp…
Descriptors: Online Courses, Social Media, Computer Mediated Communication, Preferences
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