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Arrowsmith, Heather E.; Houchens, Gary W.; Crossbourne-Richards, Trudy-Ann; Redifer, Jenni L.; Norman, Antony D.; Zhang, Jie – International Journal of Education Policy and Leadership, 2021
In 2012, the United States Department of Education announced the Race to the Top-District grants. One joint award was made to two large educational cooperatives in the same state that together represented 111 mostly rural schools in 22 districts. One of the grant's identified four essential projects was the implementation of personalized learning.…
Descriptors: Elementary Secondary Education, Individualized Instruction, Educational Legislation, Federal Legislation
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
Tortorella, Richard A. W.; Kinshuk; Chen, Nian-Shing – Education and Information Technologies, 2018
Today people learn in many diverse locations and contexts, beyond the confines of classical brick and mortar classrooms. This trend is ever increasing, progressing hand-in-hand with the progress of technology. Context-aware learning systems are systems which adapt to the learner's context, providing tailored learning for a particular learning…
Descriptors: Electronic Learning, Educational Technology, Context Effect, Models
Balwant, Paul Tristen; Doon, Roshnie – International Journal of Educational Technology in Higher Education, 2021
In higher education, one commonly used teaching approach that is intended to develop deep learning is that of the 'Oxford' tutorial--a personalized Socratic approach in which an instructor discusses course-related issues with a handful of students. Even though this conventional tutorial model is well supported in the literature, it may be…
Descriptors: Tutoring, Tutors, Teaching Methods, Questioning Techniques
Robin Shaw Brandenburg – ProQuest LLC, 2023
Improving instructor and student satisfaction with training in a global semiconductor company was the focus of this dissertation in practice. This study followed the Performance Improvement/Human Performance Technology (HPT) model as the overarching framework (Van Tiem et al., 2012). Fifty students and four instructors participated in this…
Descriptors: Student Satisfaction, Training, Global Approach, Models
Nahum, Jacob – Journal of Education and Learning, 2022
The social, economic and technological changes of the 21st century have increased the awareness of teachers and educational researchers of the importance of a relevant and interesting learning environment, collaborative learning, personalization and values in education. However, most of the currently available programs focus on only one of these…
Descriptors: 21st Century Skills, Cooperative Learning, Educational Environment, Models
Nagovitsyn, Roman S.; Zamolotskikh, Elena G.; Potashova, Irina I.; Rybakova, Lyudmila V. – European Journal of Contemporary Education, 2019
The social attractiveness and prestige of the teaching profession over the past twenty years have reached an extremely low level, despite the fact that the teaching profession is declared by the state as one of the most respected, honorable and responsible professions. The presented contradiction determined the purpose of the research: to develop…
Descriptors: Models, Social Status, Professional Identity, Reputation
Alamri, Hamdan A.; Watson, Sunnie; Watson, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Blended Learning
Eric Alan Common; Mark Matthew Buckman; Kathleen Lynne Lane; Wendy Peia Oakes; David James Royer; Sandra Chafouleas; Amy Briesch; Rebecca Sherod – Education and Treatment of Children, 2021
We report findings from a multistate survey of 720 faculty and staff from 25 elementary schools in five districts across three states and geographic regions participating in an IES Network grant examining integrated tiered systems. In this preregistered study, we replicated and extended previous inquiry examining educators' views of (1)…
Descriptors: Faculty Development, Needs Assessment, Program Implementation, Models
Eric Alan Common; Mark Matthew Buckman; Kathleen Lynne Lane; Wendy Peia Oakes; David James Royer; Sandra Chafouleas; Amy Briesch; Rebecca Sherod – Grantee Submission, 2021
We report findings from a multistate survey of 720 faculty and staff from 25 elementary schools in five districts across three states and geographic regions participating in an IES Network grant examining integrated tiered systems. In this preregistered study, we replicated and extended previous inquiry examining educators' views of (1)…
Descriptors: Faculty Development, Needs Assessment, Program Implementation, Models
Kaur, Gunjeet – Journal of Education for Business, 2019
The author proposes a customer relationship marketing-enabled student-attracting product redesign conceptual model for education for business by focusing on customization in business degrees through mirror mapping the interests and career focus of marketing degree students and skills demand of the industry as different from a business degree in…
Descriptors: Marketing, Business Administration Education, Models, Student Interests
Moubayed, Abdallah; Injadat, Mohammadnoor; Shami, Abdallah; Lutfiyya, Hanan – American Journal of Distance Education, 2020
E-learning platforms and processes face several challenges, among which is the idea of personalizing the e-learning experience and to keep students motivated and engaged. This work is part of a larger study that aims to tackle these two challenges using a variety of machine learning techniques. To that end, this paper proposes the use of k-means…
Descriptors: Learner Engagement, Electronic Learning, Individualized Instruction, Undergraduate Students
Tomlinson, Carol Ann – Educational Leadership, 2017
The concept of personalization in learning appeals to many K-12 teachers and students weary of regimented, one-size-fits-all instruction. The in-vogue term personalization is used to refer to many different learning strategies and structures--from personal learning plans to greater student voice. Differentiation expert Carol Ann Tomlinson is…
Descriptors: Individualized Instruction, Program Implementation, Educational Change, Educational Benefits
Goria, Cecilia; Konstantinidis, Angelos – Turkish Online Journal of Distance Education, 2023
In spite of its increasing popularity, distance education faces challenges -- levels of digital literacy, access to technology, workload and time management, students' feelings of isolation and disconnection -- that can have a significant impact on the experience of the learners. In addressing these issues, we propose a pedagogical model for…
Descriptors: Models, Electronic Learning, Online Courses, Distance Education
Westensko, Arla; Moyer-Packenham, Patricia S.; Child, Barbara – Journal of Education, 2017
This study describes 3 years of mathematics intervention research examining the effectiveness of a summer individualized tutoring program for rising fourth-, fifth-, and sixth-grade students with low mathematics achievement. Based on an iceberg model of learning, an instructional framework was developed that identified and targeted students'…
Descriptors: Elementary School Students, Elementary School Mathematics, Program Effectiveness, Summer Programs