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Shabbir, Shahzad; Ayub, Muhammad Adnan; Khan, Farman Ali; Davis, Jeffrey – International Association for Development of the Information Society, 2020
Recent research regarding personalized web based educational systems demonstrate learners' motivation to be an essential component of the learning model. This is due to the fact that low motivation results in either students' less engagement or complete drop out from the learning activities. A learner motivation model is considered to be a set of…
Descriptors: Learning Motivation, Electronic Learning, Web Based Instruction, Models
Charles S. Dye – ProQuest LLC, 2020
The present study seeks to develop a situated construct of learner engagement within an instructional experience. Despite compelling potential benefits to instructional practice, extant learner engagement research has been limited to either within-the learner constructs or adding a simplistic behavioral component to a model and largely discounting…
Descriptors: Learner Engagement, Inquiry, Educational Environment, Adult Learning
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Swati Suravi – Learning Organization, 2024
Purpose: This paper aims to discuss innovations in the training and development practices of companies and delineate a new approach to training and development in the context of the hybrid workplace using the ADDIE and Kirkpatrick training models. Design/methodology/approach: This paper discusses innovations in training and development in modern…
Descriptors: Working Hours, Work Environment, Training, Professional Development
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Luke Strickland; Simon Farrell; Micah K. Wilson; Jack Hutchinson; Shayne Loft – Cognitive Research: Principles and Implications, 2024
In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…
Descriptors: Automation, Reliability, Man Machine Systems, Learning Processes
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Stefan E. Huber; Kristian Kiili; Steve Nebel; Richard M. Ryan; Michael Sailer; Manuel Ninaus – Educational Psychology Review, 2024
This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education and how those challenges might be addressed utilizing playful and game-based learning. While providing many opportunities, the stochastic elements incorporated in how present LLMs process text, requires domain…
Descriptors: Artificial Intelligence, Language Processing, Models, Play
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Elena Makarova – Journal of English Teaching, 2024
The paper deals with the investigation of theoretical and practical issues on the organization and management of EFL peer learning. Lack of understanding of the mechanism of peer learning as a system of relationships and interactions hinders creating the conditions for effective education. The study aims to identify and systematize the key…
Descriptors: English (Second Language), Second Language Learning, Peer Teaching, Second Language Instruction
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Beth A. Covitt; Kristin L. Gunckel; Alan Berkowitz; William W. Woessner; John Moore – Journal of Science Education and Technology, 2024
Computational models are employed to study and respond to pressing environmental issues such as groundwater contamination. This use of computational models, which often involves algorithms and uncertainty that are hidden to the public, has implications for environmental science literacy. This study applies a design-based research approach to…
Descriptors: Learning Experience, Computation, Thinking Skills, Models
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Subhajit Chakraborty – Quality Assurance in Education: An International Perspective, 2024
Purpose: The emergence of internet-based business models has given rise to online higher education institutions (OHEIs) that offer their undergraduate and graduate degree programs exclusively online with minimal physical presence. Research on OHEIs discusses the need for external legitimacy and resource acquisition, often ignoring the role of…
Descriptors: Literature Reviews, Electronic Learning, Higher Education, Educational Quality
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Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
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Meriem Zerkouk; Miloud Mihoubi; Belkacem Chikhaoui; Shengrui Wang – Education and Information Technologies, 2024
School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…
Descriptors: Artificial Intelligence, Dropouts, Prediction, Distance Education
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Rattiya Phumsaidorn; Suwat Julsuwan – Journal of Education and Learning, 2024
The study aimed to (1) investigate the components and indicators of active learning instruction competency among elementary school teachers, (2) examine the current state, desired state, and necessary requirements of active learning instruction competency among elementary school teachers, and (3) develop an educational supervision model based on…
Descriptors: Mentors, Coaching (Performance), Teacher Competencies, Elementary School Teachers
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Xisheng Chen – International Journal of Information and Communication Technology Education, 2024
Firstly, this paper analyzes the role of AI in the reading management of English language and literature, establishes the implicit knowledge base of neural network, designs the auxiliary reading system for learning English language and literature, and optimizes the English language and literature management model of AI. The experimental results…
Descriptors: Artificial Intelligence, Models, English Literature, English (Second Language)
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Runu Mani Das; Madhusudan J. V. – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper presents a bibliometric analysis of the community of inquiry model in online learning. The study focuses on identifying the most trending topics, most impact authors, most relevant sources, most relevant countries and most cited articles in the community of inquiry online learning model. Another aim is to understand the literature's…
Descriptors: Communities of Practice, Inquiry, Models, Electronic Learning
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Christina M. Manceor – Impacting Education: Journal on Transforming Professional Practice, 2024
Higher education arts programs are implementing experiential learning (EL) programs to address skills gaps and better prepare students for careers in an evolving arts industry. However, there is a dearth of research relating to EL in the arts. As a starting point, this research explores the supports and barriers that contribute to student…
Descriptors: Art Education, Experiential Learning, Barriers, Student Participation
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Alexander Hamonangan Simamora; Ketut Agustini; I Gde Wawan Sudatha; I Kadek Suartama – Journal of Education and Learning (EduLearn), 2024
Using e-learning in higher education has many important benefits and advantages in todays world of education. Therefore, this research aims to develop e-learning based on the introduction, connection, application, reflection, extend (ICARE) learning model for developing teaching materials courses in the Faculty of Education, Universitas Pendidikan…
Descriptors: Electronic Learning, Higher Education, Instructional Materials, Material Development
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