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Kenworthy, Jared B.; Doboli, Simona; Alsayed, Omar; Choudhary, Rishabh; Jaed, Abu; Minai, Ali A.; Paulus, Paul B. – Creativity Research Journal, 2023
We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new…
Descriptors: Computer Science, Psychology, Researchers, Natural Language Processing
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Leitner, Maxyn; Greenwald, Eric; Wang, Ning; Montgomery, Ryan; Merchant, Chirag – International Journal of Artificial Intelligence in Education, 2023
Artificial Intelligence (AI) permeates every aspect of our daily lives and is no longer a subject reserved for a select few in higher education but is essential knowledge that our youth need for the future. Much is unknown about the level of AI knowledge that is age and developmentally appropriate for high school, let alone about how to teach AI…
Descriptors: Instructional Design, Game Based Learning, High School Students, Artificial Intelligence
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Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2023
NoSQL databases have been used in organizations for decades. Few database textbooks on the market, however, have suitable materials about NoSQL beyond general introductions for typical business students. In fact, users of the typical NoSQL systems on the software market need to have certain computer programming skills. This teaching tip introduces…
Descriptors: Databases, Programming, Computer Science Education, Business Administration Education
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Kocaman, Berrak – International Journal of Educational Methodology, 2023
This research aims to examine the effect of coding education on the analytical thinking skills of gifted students. The participants are 18 students, 11 to 12 years old. An embedded experimental mixed design was used in the research. The data collection was carried out with the Analytical Thinking Skill Scale to determine the difference in the…
Descriptors: Programming, Computer Science Education, Thinking Skills, Academically Gifted
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Raweewarn Rattanakha; Pinanta Chatwattana – Higher Education Studies, 2023
The problem-based learning model via cloud technology (PBL model via cloud technology) is a research tool fabricated with the concepts of problem-based learning management, in which students are stimulated and enabled to foresee the problems that will arise. Also, in this learning style, teachers will define the problem situations and encourage…
Descriptors: Problem Based Learning, Computer Science Education, Teaching Methods, Programming
Sarah Barksdale – ProQuest LLC, 2023
Integrating computational thinking (CT) and/or computer science (CS) into K-12 curricula has the potential to provide learners with early exposure to the possibilities of creation, engagement, and contributions within a technology-driven society. However, in order to weave CT and CS into their existing curricula and classrooms, K-12 teachers need…
Descriptors: Elementary School Teachers, Secondary School Teachers, Curriculum Implementation, Computation
Lucas, Rhonda Luvenia – ProQuest LLC, 2023
The purpose of this study was to determine if the use of Real-World Experiences in Active Learning (R.E.A.L.) impacted student learning outcomes in an undergraduate information systems (IS) data communication and networking course. A quasi-experimental, quantitative approach was used to investigate whether the R.E.A.L. treatments, used as active…
Descriptors: Experiential Learning, Active Learning, Outcomes of Education, Undergraduate Students
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Ryan, Zachary D.; DeLiema, David – Instructional Science: An International Journal of the Learning Sciences, 2023
This paper articulates an approach to incorporating instructor feedback in design-based research. Throughout the process of designing and implementing curriculum to support middle school students' debugging practices in a summer computer science workshop, our research and practice team utilized instructor-generated conjecture maps as boundary…
Descriptors: Teaching Methods, Feedback (Response), Teacher Attitudes, Computer Science Education
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Kaur, Amanpreet; Chahal, Kuljit Kaur – Journal of Science Education and Technology, 2023
Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…
Descriptors: Personality, Learning Motivation, Computation, Thinking Skills
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Han, Ye; Xu, Yueting – Teaching in Higher Education, 2023
While higher education (HE) research has long recognized the importance of providing emotional support to doctoral students, empirical inquiries have barely investigated doctoral supervisors' practice from the perspective of extrinsic emotion regulation. The current qualitative study used the framework of extrinsic emotion regulation (Gross 2014,…
Descriptors: Emotional Response, Psychological Patterns, Computer Science Education, Foreign Countries
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Richards, Bryant; Kolodziejczak, Nicholas; Mentzer, Kevin; Calnan, Kerry – Information Systems Education Journal, 2023
Organizations are keenly interested in employees trained in business analysis and robotic process automation. This is because those methods are growing in demand for improving efficiency in business processes. Business students exiting college must understand how to map out business processes and implement automation fundamentals to be competitive…
Descriptors: Robotics, Business Administration Education, Automation, Employment Potential
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Somayeh Timarchi – International Journal of Mathematical Education in Science and Technology, 2023
This paper describes a study for teaching number system in a computer arithmetic course and addresses the existing gap in the current course by focusing on the characteristics of applications. A redundant residue number system (RRNS) is an efficient and innovative number system that inherits the interesting properties of both residue number system…
Descriptors: Computer Uses in Education, Computer Science Education, Number Concepts, Arithmetic
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Quinn McCashin; Catherine Adams; Michael Carbonaro; Lance Pedersen – Alberta Journal of Educational Research, 2023
Computer Science (CS) education is an emergent growth area in schools worldwide. This paper explores how CS education has evolved at the high school level (grades 10-12) in the Canadian province of Alberta over the past decade after a reorganization and curriculum redesign of its Computing Science Education (CSE) program. In partnership with…
Descriptors: Computer Science Education, Foreign Countries, High School Students, Curriculum Design
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Sonsoles López-Pernas; Mohammed Saqr; Aldo Gordillo; Enrique Barra – Interactive Learning Environments, 2023
Learning analytics methods have proven useful in providing insights from the increasingly available digital data about students in a variety of learning environments, including serious games. However, such methods have not been applied to the specific context of educational escape rooms and therefore little is known about students' behavior while…
Descriptors: Learning Analytics, Educational Games, Student Behavior, Computer Uses in Education
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João Torres; João Grácio; Maria Do Rosário Rodrigues; Miguel Figueiredo – Educational Media International, 2023
The GEN10S Portugal project offered 15-hour face-to-face Scratch programming courses to groups of students and two or more teachers from each class, from schools that were project members. Two Scratch teachers per class, hired by the project, participated in 12 of these 15 hours, supporting the activities. When the schools' face-to-face activities…
Descriptors: Computer Science Education, Programming, Minicourses, Digital Literacy
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