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Thomas, Debra Kelly; Milenkovic, Lisa; Marousky, Annamargareth – Science and Children, 2019
Computer science (CS) and computational thinking (a problem-solving process used by computer scientists) teach students design, logical reasoning, and problem solving--skills that are valuable in life and in any career. Computational thinking (CT) concepts such as decomposition teach students how to break down and tackle a large complex problem.…
Descriptors: Computation, Thinking Skills, Computer Simulation, Computer Science Education
Aljaloud, Abdulaziz; Gromik, Nicolas; Kwan, Paul; Billingsley, William – Australasian Journal of Educational Technology, 2019
This study aimed to investigate how the use of a smartphone clicker app by a group of 390 Saudi Arabian male undergraduate students would impact their learning performance while participating in a computer science class. The smartphone clicker app was used by the students during peer group discussions and to respond to teacher questions. A…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Handheld Devices
Kert, Serhat Bahadir; Kalelioglu, Filiz; Gulbahar, Yasemin – Informatics in Education, 2019
In this study, effectiveness of a computer science course at the secondary school level is investigated through a holistic approach addressing the dimensions of instructional content design, development, implementation and evaluation framed according to ADDIE instructional design model where evaluation part constituted the research process for the…
Descriptors: Foreign Countries, Holistic Approach, Computer Science Education, Secondary Education
The MOSAICS Model of Educational Approaches for Teaching the Practice of Software Project Management
Boiangiu, Costin-Anton; Stanica, Iulia-Cristina – Education Sciences, 2019
Maybe you heard the line "managing programmers is like herding cats", and if you consider there is some truth behind this, then you should, perhaps, think how it is to teach people to perform this job. As we know from the research literature, there is no such thing as a consensus about the most suitable teaching method of a software…
Descriptors: Models, Teaching Methods, Computer Software, Programming
Grinshkun, Vadim; Bidaibekov, Esen; Koneva, Svetlana; Baidrakhmanova, Gulnaz – European Journal of Contemporary Education, 2019
The higher education system of the Republic of Kazakhstan emphasizes the need for the development of institutional science, including the field of information technology, with a priority on fundamental research. Professional training of future computer science teachers requires them to know the range of tasks related to computer graphics, and the…
Descriptors: Computer Science Education, Educational Needs, Foreign Countries, Computer Graphics
Çakiroglu, Ünal; Erdemir, Turgay – Interactive Learning Environments, 2019
This one semester case study intended to explore the roles of the instructor and students in design activities based on project based learning via cloud computing technology. Participants were 13 pre-service computer teachers enrolled in an internet programming course at faculty of education. Online course records, interviews and questionnaires…
Descriptors: Online Courses, Active Learning, Student Projects, Preservice Teacher Education
Marquardson, Jim; Gomillion, David L. – Information Systems Education Journal, 2019
Simulated environments can provide a convenient, effective way to teach skills. Simulations have been used for decades to teach skills such as piloting aircraft. As technology has improved, it has become feasible to simulate many other tasks. Recent advances in virtual and augmented reality provide new avenues for expanding training using…
Descriptors: Computer Simulation, Teaching Methods, Transfer of Training, Introductory Courses
Fiebrink, Rebecca – ACM Transactions on Computing Education, 2019
This article aims to lay a foundation for the research and practice of machine learning education for creative practitioners. It begins by arguing that it is important to teach machine learning to creative practitioners and to conduct research about this teaching, drawing on related work in creative machine learning, creative computing education,…
Descriptors: Artificial Intelligence, Man Machine Systems, Population Groups, Creativity
Anwar, Saira – Grantee Submission, 2019
Passive learning environments to teach programming concepts, especially in large lecture classes, hinder students' motivation, performance and may adversely affect their achievement goals. The study presents the use of two instructional strategies, teamwork, and reflective thinking, using educational technologies introduced in a class of 120…
Descriptors: Educational Technology, Technology Integration, Instructional Effectiveness, Teamwork
Price, Richard; Dunagan, Alana – Clayton Christensen Institute for Disruptive Innovation, 2019
Whirlwind growth in the technology sector has led to heightened demand for workers with specialized skills in coding and computer science. Projections for continued expansion of the sector feed a persistent fear that traditional educational offerings won't generate enough graduates with the skills the economy demands. Bootcamps focused on coding…
Descriptors: Computer Science Education, Program Length, Higher Education, Federal Aid
Saeed J. Roohani; Xiaochuan Zheng – Advances in Accounting Education: Teaching and Curriculum Innovations, 2019
With recent increases in cybersecurity incidents, it is imperative to supplement current accounting curriculum, equip accounting graduates with sufficient knowledge and skills to assess cybersecurity risk, and learn about controls to mitigate such risks. In this chapter, the authors describe 10 teaching modules, supported by 10 professionally…
Descriptors: Accounting, Professional Education, Business Administration Education, Risk
Blaney, Jennifer M. – Computer Science Education, 2020
Background and Context: Women remain underrepresented in undergraduate computing, student leadership roles, and computing leadership positions after college. This study provides insight into these inequities by examining gender and leadership conceptions among computing undergraduate students. Objective: Guided by leadership identity development…
Descriptors: Computer Science Education, Gender Differences, Disproportionate Representation, Undergraduate Students
Wanzer, Dana Linnell; McKlin, Tom; Freeman, Jason; Magerko, Brian; Lee, Taneisha – Computer Science Education, 2020
Background and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation…
Descriptors: Intention, Student Participation, Persistence, Computer Science Education
Wolf, Shaya; Burrows, Andrea Carneal; Borowczak, Mike; Johnson, Mason; Cooley, Rafer; Mogenson, Kyle – Education Sciences, 2020
Research on innovative, integrated outreach programs guided three separate week-long outreach camps held across two summers (2018 and 2019). These camps introduced computer science through real-world applications and hands-on activities, each dealing with cybersecurity principles. The camps utilized low-cost hardware and free software to provide a…
Descriptors: Outreach Programs, Summer Programs, Camps, Program Length
Ardiansyah, Welly; Aryanti, Nurul; Ujihanti, Murwani – Journal on English Language Teaching, 2020
The objectives of this study are to see if Reciprocal Teaching (RT) is more a effective Language Learning Strategy (LLS) to teach reading comprehension, and to see if students of high reading comprehension achievement have better reading comprehension than those of moderate and low reading comprehension achievement. The 3 x 2 factorial design is…
Descriptors: Metacognition, Reading Strategies, Reading Comprehension, Multiple Choice Tests

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