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Rachmatullah, Arif; Wiebe, Eric N. – Science Education, 2023
Computationally intensive science (CIS)-related disciplines and careers are predicted to be among the cutting-edge fields and high-demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)-related understanding and skills. Preparing educational systems for developing interest and…
Descriptors: Foreign Countries, Middle School Students, Career Choice, STEM Careers
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Chen, Chen; Haduong, Paulina; Brennan, Karen; Sonnert, Gerhard; Sadler, Philip – Computer Science Education, 2019
Background and Context: The relationship between novices' first programming language and their future achievement has drawn increasing interest owing to recent efforts to expand K-12 computing education. This article contributes to this topic by analyzing data from a retrospective study of more than 10,000 undergraduates enrolled in introductory…
Descriptors: Computer Science Education, Programming Languages, College Students, Computer Attitudes
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Israel-Fishelson, Rotem; Hershkovitz, Arnon; Eguíluz, Andoni; Garaizar, Pablo; Guenaga, Mariluz – Journal of Educational Computing Research, 2021
Computational Thinking (CT) and creativity are considered two vital skills for the 21st century that should be incorporated into future curricula around the world. We studied the relationship between these two constructs while focusing on learners' personal characteristics. Two types of creativity were examined: creative thinking and computational…
Descriptors: Correlation, Thinking Skills, Creative Thinking, Problem Solving
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Alzahrani, Majed Gharmallah; O'Toole, John Mitchell – Journal of Curriculum and Teaching, 2017
The purpose of this study is to investigate student experience with the Internet, and their attitudes towards using it, in an attempt to determine the impact of these experiences and attitudes on their view of the implementation of blended learning. Data from 142 Saudi students at a leading university in Saudi Arabia were collected via an online…
Descriptors: Blended Learning, Preferences, Internet, Prior Learning
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Khamparia, Aditya; Pandey, Babita – International Journal of Web-Based Learning and Teaching Technologies, 2018
E-learning and online education has made great improvements in the recent past. It has shifted the teaching paradigm from conventional classroom learning to dynamic web based learning. Due to this, a dynamic learning material has been delivered to learners, instead ofstatic content, according to their skills, needs and preferences. In this…
Descriptors: Classification, Electronic Learning, Online Courses, Anxiety
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Saxena, Anoop – Turkish Online Journal of Educational Technology - TOJET, 2017
Teachers in many schools struggle to integrate Information and Communications Technology (ICT) as part of their teaching practice. Among the issues faced by teachers when attempting to integrate ICT into their classrooms are gaps in ICT knowledge and skills, lack of training and inadequate support and scaffolding. Other issues include inability to…
Descriptors: Foreign Countries, Technology Planning, Technology Integration, Technological Literacy
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Stiller, Klaus D.; Bachmaier, Regine – European Journal of Open, Distance and E-Learning, 2017
High dropout rates are still a problem with online training. It is strongly suggested that learner characteristics influence the decision to persist in an online course or to drop out. The study explored the differences in domain-specific prior knowledge, motivation, computer attitude, computer anxiety, and learning skills between dropouts and…
Descriptors: Foreign Countries, Dropout Rate, Knowledge Level, Student Motivation