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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
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
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
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
Maaliw, Renato R., III – Online Submission, 2020
Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Individualized Instruction
Bart, Rienties; Olney, Tom; Nichols, Mark; Herodotou, Christothea – Open Learning, 2020
The implementation of learning analytics may empower distance learning institutions to provide real-time feedback to students and teachers. Given the leading role of the Open University UK (OU) in research and application of learning analytics, this study aims to share the lessons learned from the experiences of 42 participants from a range of…
Descriptors: Learning Analytics, Distance Education, Teacher Attitudes, Individualized Instruction
Karaoglan Yilmaz, Fatma Gizem – Online Submission, 2020
The aim of this research is to examine the relationships between students' community of inquiry, academic self-efficacy, reflective thinking skills, problem-solving skills, and metacognitive awareness in a flipped learning environment supported by personalized recommendation and guidance messages based on learning analytics. For this purpose,…
Descriptors: Blended Learning, Learning Analytics, Feedback (Response), Individualized Instruction
Fung, Chorng Yuan; Abdullah, Melissa Ng Lee Yen; Hashim, Shahabuddin – e-Journal of Business Education and Scholarship of Teaching, 2019
This study provides an insight into using personalized weekly e-Learning Journals to improve self-regulated learning (SRL) of university students. Quasi-experimental method with time series data analysis was used. Pre and post-tests together with time series data over an intervention period on SRL were collected. 54 students in an undergraduate…
Descriptors: Self Management, Individualized Instruction, Student Journals, Undergraduate Students
Nadia Jaramillo Cherrez; Larysa Nadolny – International Journal of Designs for Learning, 2017
This design case illustrates an innovative research-based pedagogical approach to customizing students' learning experiences in an online course. We centered the course design on the experiential learning model which fosters student's learning through a reexamination and integration of their current knowledge with new and refined knowledge (Kolb,…
Descriptors: Individualized Instruction, Learning Experience, Student Experience, Instructional Design
Elfeky, Abdellah Ibrahim Mohammed – Innovations in Education and Teaching International, 2019
The present study aimed to examine the effect of Personal Learning Environments on participants' higher-order thinking skills and satisfaction. Two main instruments, namely a test for higher-order thinking skills and a scale for participants' satisfaction with the course content of educational techniques were developed to achieve this aim.…
Descriptors: Educational Environment, Individualized Instruction, Thinking Skills, Student Satisfaction
Zou, Di; Wang, Minhong; Xie, Haoran; Cheng, Gary; Wang, Fu Lee; Lee, Lap-Kei – Interactive Learning Environments, 2021
Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task…
Descriptors: Linguistic Theory, Vocabulary Development, Second Language Learning, Second Language Instruction
Espinoza, Penelope; Genna, Gaspare M. – Journal of College Student Retention: Research, Theory & Practice, 2021
Performance during the first year of college and in introductory courses has been widely identified as critical to college students' retention and success. Accordingly, interventions to assist beginning college students in gateway courses have gained increased attention in higher education. This study tested such an intervention using learning…
Descriptors: Identification, Intervention, Class Size, Introductory Courses
An Early Feedback Prediction System for Learners At-Risk within a First-Year Higher Education Course
Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
Mudrák, Marián – ICTE Journal, 2018
The paper deals with the issue of e-courses personalization in selected LMS. Even though this topic has been the subject of research for a longer time, more effective concepts of learning through e-courses are still being sought. Part of the contribution is a brief explanation of the terms personalization and adaptivity, which are often mistaken…
Descriptors: Individualized Instruction, Online Courses, Electronic Learning, Curriculum Implementation
Maaliw, Renato R., III – Online Submission, 2016
Virtual Learning Environment (VLE) such as Moodle, Blackboard, and WebCT are commonly and successfully used in E-education. While they focus on supporting educators in creating and holding online courses, they typically do not consider the individual differences of learners. However, learners have different needs and characteristics such as prior…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Cognitive Style
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