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Direct linkRonit Shmallo; Adi Katz – Computer Science Education, 2024
Background and Context: Gender research shows that women are better at reading comprehension. Other studies indicate a lower tendency in women to choose STEM professions. Since data modeling requires reading skills and also belongs in the areas of information systems and computer science (STEM professions), these findings provoked our curiosity.…
Descriptors: Gender Differences, Transfer of Training, Databases, Models
Vázquez-Cano, Esteban; González, Ana Isabel Holgueras; Sáez-López, José Manuel – Journal of Computing in Higher Education, 2019
This article presents an analysis of the orthographic errors found in university students' asynchronous digital writing. A university and a society belonging to the twenty-first century require students and professionals who can use their language correctly in any context, device and mode of communication. The research was based on a sample of…
Descriptors: Spelling, Error Patterns, College Students, Writing (Composition)
Download full textSülükçü, Yusuf – Journal of Education and Training Studies, 2018
The present study aimed to identify Turkish language sounds that Arabic native speakers experience pronunciation difficulties with when learning Turkish and make various suggestions on how to resolve this problem. Qualitative research method and observation technique were used in the study. The data were collected in 2016 and the second half of…
Descriptors: Turkish, Phonology, Semitic Languages, Second Language Learning
Perin, Dolores, Ed. – John Wiley & Sons, Inc, 2019
This handbook presents a wide range of research on adults who have low literacy skills. It looks at the cognitive, affective, and motivational factors underlying adult literacy; adult literacy in different countries; and the educational approaches being taken to help improve adults' literacy skills. It includes not only adults enrolled in adult…
Descriptors: Guides, Adult Literacy, Reading Difficulties, Literacy Education
Liben, Lynn S.; Kastens, Kim A.; Christensen, Adam E. – Cognition and Instruction, 2011
To study the role of spatial concepts in science learning, 125 college students with high, medium, or low scores on a horizontality (water-level) spatial task were given information about geological strike and dip using existing educational materials. Participants mapped an outcrop's strike and dip, a rod's orientation, pointed to a distant…
Descriptors: Student Evaluation, Error Patterns, Spatial Ability, Teaching Methods
Zhao, Jensen J.; Zhao, Sherry Y. – Journal of Information Systems Education, 2010
As the entry-level information technology jobs could be easily outsourced offshore, the demand for U.S. employees who are innovative and productive in information technology (IT) project design, development, and management is growing among U.S. companies. This controlled experiment presents how a model of integrating students' intelligence…
Descriptors: Student Attitudes, Intelligence Quotient, Gender Differences, Creativity
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
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
