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Muscatello, Joseph – Journal of Education for Business, 2023
The Operations Management (OM) course is often the first in-depth investigation for students into the OM world. The material can be confusing because it is often delivered as compartmentalized concepts in strategy, demand management, accounting, human resources, economics, etc. Our students do not understand the interdepartmental and interpersonal…
Descriptors: Educational Innovation, Business Administration Education, Interpersonal Competence, Cognitive Style
Han, Feifei; Ellis, Robert A.; Guan, Enjing – Journal of Computer Assisted Learning, 2023
Background: While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations. Objectives: This study aimed to investigate: (1) variations in students' learning orientations by…
Descriptors: Cooperative Learning, Cognitive Style, Blended Learning, Academic Achievement
Kheng, Yeoh Khar; Nordin, Nur Rasyidah Mohd; Jani, Mohd Yusop – International Education Studies, 2023
Intentional learning consists of the ability to learn how to learn, develop critical self-awareness and exercise full accountability for learning. It is highly effective in producing effective learners in a loosely structured learning environment in line with today's student-centric teaching-learning paradigm. Intentional learning equips students…
Descriptors: Self Management, Cognitive Style, Reflection, Student Motivation
Ulrike Cress; Joachim Kimmerle – International Journal of Computer-Supported Collaborative Learning, 2023
Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be…
Descriptors: Artificial Intelligence, Cognitive Style, Computer Assisted Instruction, Learning Strategies
Nevcan Aksoy; Mutlu Tahsin Üstündag – Journal of Educational Technology and Online Learning, 2023
Institutions have tended to provide online training and in-service training by using today's technologies due to the increasing number of employees and the increase in the number of in-service trainings to be given. While the number of trainings held in online environments is increasing day by day, it has gained importance to help learners learn…
Descriptors: Electronic Learning, Cognitive Style, Employees, Job Training
Ishak, Natasha Mohd; Ranganathan, Harikrishnan; Harikrishnan, Kamalambal – Journal of Learning for Development, 2022
A new generation (Generation Z) of learners has entered universities/colleges. They were raised in an environment full of technology and high access to the online world which well affected their preferences for receiving information. It is indispensable to know their preferred learning style, which could aid in enhanced content delivery. The main…
Descriptors: Preferences, Cognitive Style, Age Groups, Undergraduate Students
Nguyen, Neal Nghia; Mosier, William; Hines, Jayme; Garnett, William – Kappa Delta Pi Record, 2022
The authors encourage primary educators to reevaluate learning styles and related literature, explore how the mind works in children's learning, and consider the multimodal learning approach in their classroom practices.
Descriptors: Cognitive Style, Learning Modalities, Learning Experience, Elementary School Teachers
Kollosche, David – Educational Studies in Mathematics, 2021
Although reasoning is a central concept in mathematics education research, the discipline is still in need of a coherent theoretical framework of mathematical reasoning. With respect to epistemological problems in the dominant discourses on proof, mathematical modelling, and post-truth politics in the discipline, and in accordance with trends in…
Descriptors: Cognitive Style, Thinking Skills, Mathematics Education, Mathematical Models
O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
Yuting Mao; Jian-E Peng – Asia-Pacific Education Researcher, 2024
The practice of English-medium instruction (EMI) is increasing worldwide. While various obstacles and challenges facing EMI have been reported, little is known about the learning strategies employed by students to cope with EMI courses, especially among students of different disciplines. This study investigated the strategies used by students in…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, College Students
Pedro Luis Saraiva Barbosa; Rafael Augusto Ferreira do Carmo; João P. P. Gomes; Windson Viana – Education and Information Technologies, 2024
Adaptive learning is a teaching approach aiming to personalize the learning experience for each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can provide students with customized lessons, exercises, and assessments based on their previous knowledge, strengths, and weaknesses. Some literature reviews focus on…
Descriptors: Teaching Methods, Individualized Instruction, Educational Technology, Technology Uses in Education
Ridvan Kenanoglu; Mustafa Kahyaoglu – Malaysian Online Journal of Educational Technology, 2024
The aim of this study is to investigate the relations between secondary education students' learning styles and their use of social networks. The samples of the research designed by relational screening model consist of 1281 students reached by convenient sampling method, one of the non-probability sampling methods. In this study, "Kolb's…
Descriptors: Foreign Countries, College Students, Social Networks, Cognitive Style
Megan Kuhfeld; James Soland; Brennan Register; Andrew McEachin – Educational Evaluation and Policy Analysis, 2024
Summer learning loss is a perennial concern for educators and parents alike. However, researchers have recently questioned whether summer learning loss is just a statistical artifact driven by how achievement is measured across the school year. In this study, we empirically investigated a plausible critique of summer learning loss research, namely…
Descriptors: Elementary School Students, Middle School Students, Public Schools, Achievement Gains
Akila Nallabelli; Heidi L. Lujan; Stephen E. DiCarlo – Advances in Physiology Education, 2024
The movement of air into and out of the lungs is facilitated by changes in pressure within the thoracic cavity relative to atmospheric pressure, as well as the resistance encountered by airways. In this process, the movement of air into and out of the lungs is driven by pressure gradients established by changes in lung volume and intra-alveolar…
Descriptors: Physics, Motion, Misconceptions, Scientific Concepts

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