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El-Sabagh, Hassan A. – International Journal of Educational Technology in Higher Education, 2021
Adaptive e-learning is viewed as stimulation to support learning and improve student engagement, so designing appropriate adaptive e-learning environments contributes to personalizing instruction to reinforce learning outcomes. The purpose of this paper is to design an adaptive e-learning environment based on students' learning styles and study…
Descriptors: Electronic Learning, Educational Environment, Cognitive Style, Correlation
Rajbhandari, Mani Man Singh – Online Submission, 2021
Attitudinal and Behavioural Commitment can have high impact on achievement of academic goals; it must be present in supervisors and the students. In this study, an experiential learning research was conducted to find the nurturing of Open Source Understanding (OSU) through the preconditioned nature of Close Source Understanding (CSU) that enables…
Descriptors: Foreign Countries, Undergraduate Students, Student Motivation, Theses
Shaylene E. Nancekivell; Xin Sun; Susan A. Gelman; Priti Shah – Grantee Submission, 2021
The learning style myth is a commonly held myth that matching instruction to a student's "learning style" will result in improved learning, while providing mismatched instruction will result in suboptimal learning. The present study used a short online reasoning exercise about the efficacy of multimodal instruction to investigate the…
Descriptors: Cognitive Style, Misconceptions, Beliefs, Multimedia Instruction
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Shaylene E. Nancekivell; Xin Sun; Susan A. Gelman; Priti Shah – Cognitive Science, 2021
The learning style myth is a commonly held myth that matching instruction to a student's "learning style" will result in improved learning, while providing mismatched instruction will result in suboptimal learning. The present study used a short online reasoning exercise about the efficacy of multimodal instruction to investigate the…
Descriptors: Cognitive Style, Misconceptions, Beliefs, Multimedia Instruction
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Reinhardt, Nina; Trnka, Lina-Marie; Reinhard, Marc-André – Social Psychology of Education: An International Journal, 2023
Academic cheating is a problem that affects many educational institutions and has become increasingly significant with the new challenges of online education. Recent studies have found that learning goals are correlated with cheating behavior among students. In this study, we investigated whether learning goals are still a predictor of cheating…
Descriptors: Foreign Countries, College Students, Ethics, Emotional Response
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Abdul Rabu, Siti Nazleen; Mohamad, Siti Khadijah; Awwad, Samer A. B.; Ismail, Nurul Halimatul Asmak; Yeen, Kang Seua – Education and Information Technologies, 2023
Inquiry-based learning is a learning-and-teaching approach that allows students to gather and build knowledge of scientific facts by asking questions. To gain an understanding of the impact of such an instruction, this study examines the effectiveness of Video Inquiry-based Cooperative Learning (VICL) and Video Inquiry-based Learning (VIL) on…
Descriptors: Instructional Effectiveness, Inquiry, Active Learning, Video Technology
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Wiebke Curdt; Silke Schreiber-Barsch; Katharina Angermeier – Adults Learning Mathematics, 2023
This paper discusses adults who are dealing with limited financial means under the premises of disability and over-indebtedness. To this end, the authors examined the concepts of vulnerability, financial literacy and the numerate environment for systematising and presenting findings from a qualitative secondary analysis of qualitative data sets…
Descriptors: Numeracy, At Risk Persons, Adults, Disabilities
Williams, Marjorie Dee – ProQuest LLC, 2023
The purpose of this qualitative descriptive study was to explore how third through fifth-grade elementary school teachers within the southeastern United States describe using specific learning style strategies and students' classroom preferences during instruction. Grasha's Teaching Style Theory, Kolb's Learning Styles and Experiential Learning…
Descriptors: Elementary School Teachers, Cognitive Style, Experiential Learning, Teaching Methods
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Lopez-Castro, Itzel; Larios-Hernandez, Guillermo J.; Borbolla-Albores, Alberto – Journal of Marketing Education, 2023
This article exhibits that entrepreneurial marketing educators recur to their own heuristics to deal not only with the challenges that relate to their mentees' entrepreneurial projects, but also with the operationalization of their teaching and methodological approaches. Based on the identification of heuristics derived from a convenience sample…
Descriptors: Marketing, Teaching Methods, Heuristics, Entrepreneurship
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Pössel, Patrick; Roane, Sarah J. – Journal of American College Health, 2023
Objective: We proposed cognitive styles described in the Hopelessness Theory would be associated with depressive symptoms and Systolic Blood Pressure (SBP) and that depressive symptoms mediate these associations. Participants: This cross-sectional study had 324 community college student participants (ages: 18 to 62 years, M = 24.08, SD = 9.10;…
Descriptors: Cognitive Style, Depression (Psychology), Physiology, Community College Students
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Ho, Shuen; Kozhevnikov, Maria – British Journal of Educational Psychology, 2023
Background: Previous research on cognitive styles (CSs) has often overlooked their complexity and the effect of the environment on their development. While research supports visual abilities as predictors of domain-specific creativity, there is a lack of studies on the predictive power of CS in relation to creativity beyond abilities. Aims: The…
Descriptors: Cognitive Style, Individual Differences, Environmental Influences, Creativity
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Yuan-Chen Liu; Tzu-Hua Huang; Chia-Ling Sung – Interactive Learning Environments, 2023
Computational thinking is an important skill in computer science since the 1960s, and it is closely related to problem solving. Almost all research related to computational thinking mentions problem solving. Although some research has been conducted on computational thinking, few studies examined the impact of personal traits on students'…
Descriptors: Personality Traits, Computation, Thinking Skills, Programming
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Azzi, Ibtissam; Jeghal, Adil; Radouane, Abdelhay; Yahyaouy, Ali; Tairi, Hamid – Education and Information Technologies, 2020
In E-Learning Systems, the automatic detection of the learners' learning styles provides a concrete way for instructors to personalize the learning to be made available to learners. The classification techniques are the most used techniques to automatically detect the learning styles by processing data coming from learner interactions with the…
Descriptors: Classification, Prediction, Identification, Cognitive Style
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Khamparia, Aditya; Pandey, Babita – Education and Information Technologies, 2020
Due to increase in complexity of modelling human behaviour in virtual environment, traditional or conventional didactic learning is limited in providing flexible or dynamic e-learning environment to students. Adaption of e-learning content with respect to several e-learning problems is open research problem in front of all of us. The purpose of…
Descriptors: Cognitive Style, Electronic Learning, Learning Problems, Research Reports
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Berend Wierenga; Maciej Szymanowski; Gerrit H. van Bruggen – Marketing Education Review, 2024
What are the success factors for careers in marketing? This important question is lacking a definite answer so far. This paper presents an empirical study of the drivers of marketing career success. First, we interviewed renowned marketing executives about the characteristics that, in their view, make successful marketers. Next, we analyzed data…
Descriptors: Marketing, Business Administration Education, Careers, Success
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