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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
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
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
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
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
Joshua Lee Brunty – ProQuest LLC, 2023
The shortage of qualified cybersecurity professionals is a growing concern in the information technology industry, and the rapid growth of the field exacerbates this shortage. Employers express concern over the shortage of hands-on, practical skills and problem-solving abilities among recent graduates, leading to the "cybersecurity skills…
Descriptors: Student Attitudes, Experiential Learning, Information Security, Information Technology
McGarr, Oliver; Johnston, Keith – Curriculum Journal, 2020
This paper explores the rationales underpinning the introduction of Computer Science (CS) into school curricula and examines the ways in which educational systems have responded to these growing calls. In outlining the possible ways that educational systems can respond to this demand, the paper makes use of a conceptual framework through which the…
Descriptors: Computer Science Education, Secondary Education, Curriculum Implementation, Educational Benefits
Rebecca Woodland; Ann M. Leonard; Itza D. Martinez – Teacher Development, 2024
Professional learning communities (PLCs) are a powerful school improvement strategy designed to advance teacher professional development. Protocols are tools for structuring teacher conversations in PLCs. In this article the authors present the results of a qualitative study of teacher perspectives about the value and effects of systematic…
Descriptors: Elementary School Teachers, Urban Schools, Communities of Practice, Faculty Development
Lung-Chun Chang; Hon-Ren Lin; Jian-Wei Lin – Education and Information Technologies, 2024
Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring related skills but report concerns that programming logic is too difficult to learn because memorization of the syntax is required. Thus, they experience anxiety, are demotivated to learn, and,…
Descriptors: Learning Motivation, Outcomes of Education, Anxiety, Programming
Jinbo Tan; Lei Wu; Shanshan Ma – British Journal of Educational Technology, 2024
The purpose of this study was to investigate the collaborative dialogue patterns of pair programming and their impact on programming self-efficacy and coding performance for both slow- and fast-paced students. Forty-six postgraduate students participated in the study. The students were asked to solve programming problems in pairs; those pairs'…
Descriptors: Coding, Programming, Computer Science Education, Self Efficacy
Sharon Gumina; Karen Patten; John Gerdes – Education and Information Technologies, 2024
This paper is an experiential report describing the faculty and student experiences and knowledge gained from developing an Internet of Things (IoT) course within an Information Technology (IT) Department at a large southeastern United States public university. The paper contributes insights gained developing the introductory IoT course, and it…
Descriptors: Internet, Information Technology, Computer Science Education, Public Colleges
Zachary Opps – ProQuest LLC, 2024
As the use of artificial intelligence (AI), especially machine learning (ML), has dramatically increased, K-12 schools have begun to deliver AI education; however, little is known about teachers' views on the field. This qualitative study investigated how U.S. high school computer science (CS) teachers conceptualize AI, the role of AI in their CS…
Descriptors: Artificial Intelligence, High School Teachers, Computer Science Education, Teacher Education
Emily Ross; Margaret Marshman; Natalie McMaster – Mathematics Education Research Group of Australasia, 2024
Diminishing duplication and finding connections between the "Australian Curriculum: Mathematics" and "Digital Technologies" were a focus of the revision to version 9. This emphasis has provided enhanced opportunities for integration of these learning areas. In this exploratory multiple case study, interviews with teachers…
Descriptors: Mathematics Instruction, Elementary School Mathematics, Mathematical Concepts, Foreign Countries
Nidhi Bansal; Heena Choudhary – International Journal of Lifelong Education, 2024
Digital literacy (DL) training improves the participants' digital skills and engagements and achieves desired online benefits and opportunities. However, there remains a gap in understanding whether the acquired skills effectively translate into tangible outcomes. This study explores how digital literacy training programs (DLTPs) serve as…
Descriptors: Foreign Countries, Digital Literacy, Access to Computers, Computer Science Education
Roland Kiraly; Sandor Kiraly; Martin Palotai – Education and Information Technologies, 2024
Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…
Descriptors: Artificial Intelligence, Computer Science Education, Problem Solving, College Faculty