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Showing all 13 results Save | Export
Shengming Zhang – ProQuest LLC, 2024
In the contemporary era, the landscape of innovation and entrepreneurship is dynamically evolving, fueled by a substantial surge in venture capital investments and the rapid expansion of the global startup ecosystem. This burgeoning growth not only highlights the vibrant nature of modern economies but also brings to the forefront the critical…
Descriptors: Role Theory, Learning Modalities, Entrepreneurship, Business Administration Education
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Mengjiao Yin; Hengshan Cao; Zuhong Yu; Xianyu Pan – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…
Descriptors: Predictor Variables, Artificial Intelligence, Performance, Cluster Grouping
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Obeng, Asare Yaw – Cogent Education, 2023
The learning processes have been significantly impacted by technology. Numerous learners have adopted technology-based learning systems as the preferred form of learning. It is then necessary to identify the learning styles of learners to deliver appropriate resources, engage them, increase their motivation, and enhance their satisfaction and…
Descriptors: Predictor Variables, Cognitive Style, Electronic Learning, College Freshmen
Denna McCalla-Howell – ProQuest LLC, 2022
This research study analyzes how the predictor variables sensing-intuitive learning style, verbal-visual learning style, gender, major, and degree level of adult learners predict student intrinsic motivation-to know, extrinsic motivation-external regulation, and amotivation to pursue an online graduate degree. The primary research question states:…
Descriptors: Learning Modalities, Academic Degrees, Gender Differences, Majors (Students)
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Yurdal, Mustafa Onur; Sahin, Erkan Melih; Aytug Kosan, Aysen Melek; Toraman, Cetin – Turkish Online Journal of Distance Education, 2021
This study aims at determining students' attitudes towards distance education/online learning through a scale developed by the authors and determine the relationship between these attitudes and e-learning styles. The study carried out on students of Canakkale Onsekiz Mart University Faculty of Medicine using the online system of the university,…
Descriptors: Foreign Countries, Medical Students, Student Attitudes, Distance Education
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Laura M. Crothers; Jered B. Kolbert; Ara J. Schmitt; Daniel S. Wells; Christopher Meidl; Cassandra Berbary; Suzannah Chatlos; Latitia Lattanzio; Rachel Simonds; Meredith Zebrowski; Jacob Wadsworth; Angela Fidazzo; John Lipinski – International Journal of Bullying Prevention, 2019
In this study, we wished to examine the potential relationships between the skills measured by an individually administered standardized measure of cognitive ability and a self-report measure of indirect bullying, overt aggression, and prosocial skills. Therefore, a sample of 106 female students were recruited from a private, faith-based…
Descriptors: Bullying, Cognitive Ability, Aggression, Interpersonal Competence
Ryu, Wonsun; Schudde, Lauren; Pack-Cosme, Kim – Community College Research Center, Teachers College, Columbia University, 2023
Although dual enrollment programming and interest in how that programming shapes students' college outcomes have expanded considerably in the past 20 years, policymakers, educational administrators, and practitioners do not have adequate information about which dual enrollment structural options are most effective. Using statewide administrative…
Descriptors: Dual Enrollment, High School Students, Grade 9, Community Colleges
Moussa, Nahla Mohamed Aly – ProQuest LLC, 2015
Today, adoption of innovative technology is an important subject for research and work. Recent research discussed the importance of integrating modern technology into teaching and learning environments in higher education settings (Aucoin, 2014; Fisher, Worley & Fernandez, 2012; Kajuna, 2009). Learning styles of individuals also play an…
Descriptors: Cognitive Style, Student Attitudes, Computer Attitudes, Technology Integration
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DeCosta, James – International Journal on E-Learning, 2013
The participants were college students who attended an accredited private college offering associate, baccalaureate, and graduate degrees in the western United States. The research variables included student choice of modality (either OL or FTF), the covariate was students' GPA. Data were collected from institutional records and analyzed through…
Descriptors: Higher Education, College Students, Predictor Variables, Learning Modalities
Zhou, Qiaoying – ProQuest LLC, 2012
Academic achievement and student participation in physics are lower than desired. Research has shown that there is a shortage of college students entering science and technology fields such as physics. E-learning may provide the technology-oriented Net Generation learner an option for taking courses such as physics in a course modality with which…
Descriptors: Academic Achievement, Physics, Academic Aptitude, Student Participation
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Flores, Raymond; Coward, Fanni; Crooks, Steven M. – Journal of Educational Technology Systems, 2011
This study aimed to investigate the effects of modality and gender on learning from a computer-based matrix graphic organizer. A 2 x 2 factorial experiment was created by crossing two presentation modes (visual text vs. spoken text) and gender. Dependent measures included transfer and comprehension tests. Results revealed a significant modality by…
Descriptors: Computer Assisted Instruction, Instructional Materials, Educational Experiments, Gender Differences
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Dobson, John L. – Advances in Physiology Education, 2009
Learning styles may be classified according to the sensory modality that one most prefers to use when internalizing information. The four major sensory modalities are visual, aural or auditory, read/write, and kinesthetic. The purpose of this study was to investigate the relationship between preferred learning style, gender, and course scores in…
Descriptors: Cognitive Style, Females, Visual Learning, Physiology
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals