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Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
Troisi, Jordan D. – Teaching of Psychology, 2023
Background: Psychology students can and sometimes do develop skills and career readiness in their courses, but these outcomes are rarely made explicit. Objective: This research jointly examines how two potential factors may improve student skills and career readiness: explicit instruction on skill development in an advanced laboratory course,…
Descriptors: Career Readiness, Individualized Instruction, Teaching Methods, Psychology
Lange, Christopher – Open Learning, 2023
Cognitive processing issues online may be reduced through e-learning personalisation, which allows learners to address individual learning needs by controlling how they process information. While some research shows that e-learning personalisation may actually complicate information processing under specific circumstances, this study examines…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
Djatmika, Ey Tri; Astutik, Pipit Pudji – Online Submission, 2023
This article aims to describe the mapping done by teachers in elementary schools regarding students' backgrounds before they apply differentiated instruction. Mapping students' backgrounds is very important considering the focus of attention from implementing differentiated instruction is alignment with student characteristics, so as to make…
Descriptors: Profiles, Student Characteristics, Individualized Instruction, Background
Chandler, Grant; Budge, Kathleen M. – ASCD, 2023
If we want to really understand our students so that we can optimize instruction for them, we must think of each individual student as distinctive and irreplaceable. From this core principle springs the radically humane framework for meaningful teaching that is the subject of this book: Powerful Student Care (PSC). Authors Grant A. Chandler and…
Descriptors: Caring, Individualized Instruction, Student Characteristics, Access to Education
Hattingh, Sherene; Northcote, Maria – Journal of Further and Higher Education, 2023
In the last few decades, the expansion of online learning and online assessment has attracted both negative and positive attention, some of which has celebrated the flexibility and individualised affordances of online learning contexts, while also lamenting the overuse of one-size-fits-all teaching approaches. Virtual learning contexts have been…
Descriptors: Individualized Instruction, Computer Assisted Testing, Literature Reviews, Online Courses
Babb, David; Howard, Ervin – Online Journal of Distance Learning Administration, 2023
The University of North Georgia's division of Distance Education & Technology Integration, DETI, developed a series of self-paced workshops to assist faculty in professional development as a response to faculty inquiries and the pandemic. The pandemic changed the way we look at our professional development opportunities. DETI concluded that we…
Descriptors: Workshops, Faculty Development, Individualized Instruction, Pacing
Differentiating for Teacher Learners: An Examination of Research in Professional Development Studies
Paula M. Uriarte – ProQuest LLC, 2023
Teachers need access to quality professional development (PD) to navigate the complexities of the teaching profession. An important aspect of this PD is that it is differentiated to meet the needs of teacher-learners with varying ability levels, teaching experiences, content knowledge, and teaching contexts. Stakeholders need access to…
Descriptors: Faculty Development, Literature Reviews, Individualized Instruction, Inservice Teacher Education
Lee, Jung-Chieh; Xiong, Liangnan – Education and Information Technologies, 2023
Mobile-assisted language learning (MALL) applications (apps) can provide users with personalized learning content to meet their learning needs. Besides, from the learner perspective, the apps can be regarded as 'social' individuals, like anthropomorphic instructors who offer social support to help them with language learning. However, the current…
Descriptors: Use Studies, Decision Making, Handheld Devices, Electronic Learning
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
Guo, Hongfei; Yu, Xiaomei; Wang, Xinhua; Guo, Lei; Xu, Liancheng; Lu, Ran – International Journal of Distance Education Technologies, 2022
As students in online courses usually show differences in their cognitive levels and lack communication with teachers, it is difficult for teachers to grasp student perceptions of the importance of knowledgepoints and to develop personalized teaching. Though recent studies have paid attention to this topic, existing methods fail to calculate the…
Descriptors: Online Courses, Individualized Instruction, Learning Analytics, Concept Mapping
Bayounes, Walid; Saâdi, Ines Bayoudh; Kinsuk – Smart Learning Environments, 2022
The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner's motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this…
Descriptors: Learning Processes, Learning Motivation, Individualized Instruction, Models
Li, Yuanmin; Chen, Dexin; Zhan, Zehui – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC) personalized recommendation method to help learners efficiently obtain MOOC resources. Design/methodology/approach: This study introduced ontology construction technology and a new semantic association algorithm…
Descriptors: MOOCs, Individualized Instruction, Models, Student Characteristics
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
Mclerran, Karen – ProQuest LLC, 2022
The purpose of this qualitative phenomenological study was to examine the perceptions of middle school teachers regarding differentiation of instruction for students with mild to moderate disabilities. Although there has been little documentation in the literature regarding instructional differentiation five factors that facilitate change have…
Descriptors: Teacher Attitudes, Middle School Teachers, Individualized Instruction, Instructional Effectiveness