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Shi, Nianfeng; Cui, Wen; Zhang, Ping; Sun, Ximing – Journal of Educational Computing Research, 2018
This research applies the roles of variables to the novice programmers in the C language programming. The results are evaluated using the Structure of Observed Learning Outcomes (SOLO) taxonomy. The participants were divided into an experimental group and a control group. The students from the control group learned programming in the traditional…
Descriptors: Computer Science Education, Programming, Programming Languages, Novices
Donley, Kevin S. – ProQuest LLC, 2018
The fundamentals of computer science are increasingly important to consider as critical educational and occupational competencies, as evidenced by the rapid growth of computing capabilities and the proliferation of the Internet in the 21st century, combined with reimagined national education standards. Despite this technological and social…
Descriptors: Computer Science Education, Programming, Programming Languages, Computation
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Hsu, Ting-Chia; Chen, Mu-Sheng – Research and Practice in Technology Enhanced Learning, 2022
This research explored the creative thinking, learning achievement, and engagement of students when they integrated the application of the personal audio classifier (PAC) into the competition of a computational thinking (CT) board game (i.e., the experimental group), or did not integrate it into the competition but only collaborated with peers to…
Descriptors: Learner Engagement, Robotics, Games, Computation
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Draus, Peter; Mishra, Sushma; Slonka, Kevin; Bromall, Natalya – Information Systems Education Journal, 2022
Information Technology (IT) skills gap discourse suggests a mismatch between what students are acquiring in terms of knowledge and skills in their education versus what employers believe are useful skills for doing day to day tasks. This study builds upon previous research (analyzing the skills of college students in IT-related majors) by…
Descriptors: Skills, Achievement Gap, Employment Qualifications, Information Technology
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Husaeni, Dwi Fitria Al; Budisantoso, Enrico Nabil Qois; Urwah, Mushfani Ainul; Azizah, Nissa Nur; Dinata, Putri Zukhruf; Apriliany, Shandini; Siregar, Herbert – Journal of Science Learning, 2022
This study aims to evaluate the effect of the use and development of interactive and visual learning media in learning looping by utilizing a web-based digital platform called Loopers. The research design used a qualitative descriptive with case study approach in-depth interview technique. The subjects of this research are five students of the…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Vocational Education
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Del Toro, Israel; Dickson, Kimberly; Hakes, Alyssa S.; Newman, Shannon L. – American Biology Teacher, 2022
Increasingly, students training in the biological sciences depend on a proper grounding in biological statistics, data science and experimental design. As biological datasets increase in size and complexity, transparent data management and analytical methods are essential skills for undergraduate biologists. We propose that using the software R…
Descriptors: Undergraduate Students, Biology, Statistics Education, Data Analysis
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Becker, Benjamin; van Rijn, Peter; Molenaar, Dylan; Debeer, Dries – Assessment & Evaluation in Higher Education, 2022
A common approach to increase test security in higher educational high-stakes testing is the use of different test forms with identical items but different item orders. The effects of such varied item orders are relatively well studied, but findings have generally been mixed. When multiple test forms with different item orders are used, we argue…
Descriptors: Information Security, High Stakes Tests, Computer Security, Test Items
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Mashood, K. K.; Khosla, Kamakshi; Prasad, Arjun; V., Sasidevan; Ashefas CH, Muhammed; Jose, Charles; Chandrasekharan, Sanjay – Physical Review Physics Education Research, 2022
Recent educational policies advocate a radical revision of science curricula and pedagogy, to support interdisciplinary practices, a distinguishing feature of contemporary science. Computational modeling (CM) is a core methodology of interdisciplinary science, as such models allow intertwining of data and theoretical perspectives from multiple…
Descriptors: Teaching Methods, Undergraduate Students, Science Instruction, Science Curriculum
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Mselle, Leonard; Ishengoma, Fredrick – Education and Information Technologies, 2022
In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…
Descriptors: Visualization, Teaching Methods, Cognitive Ability, Learning Theories
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Skhvediani, Angi; Sosnovskikh, Sergey; Rudskaia, Irina; Kudryavtseva, Tatiana – Journal of Education for Business, 2022
The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted…
Descriptors: Data Analysis, Employment Qualifications, Higher Education, Curriculum Development
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Hsueh, Nien-Lin; Daramsenge, Bilegjargal; Lai, Lien-Chi – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The goal of this study was twofold: first, to examine how learners' behavioral engagement types affect their final grades in an online programming course; and second, to explore which factors most strongly affect student performance in an online programming course and their connection to the types of cognitive engagement. Background:…
Descriptors: Learner Engagement, Online Courses, Programming, COVID-19
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Kapoor, Madhu; Yang, Zhanxia; Bers, Marina – Journal of Technology and Teacher Education, 2022
Prior work has shown a lack of quality professional development (PD) programs specifically targeted for early elementary teachers to improve their knowledge and self-efficacy around teaching coding in their classrooms. Whereas traditional PD programs in this area have relied upon in-person workshops, the COVID-19 pandemic necessitated the need to…
Descriptors: Elementary School Teachers, Faculty Development, Electronic Learning, Distance Education
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Schätz, Eric; Martens, Alke – International Association for Development of the Information Society, 2022
As we talked with school teachers about the use of physical computing systems in class, one major drawback of these systems became obvious: almost nobody--next to enthusiastic autodidacts--has been able to tell us on an abstract basis for which educational purposes a certain physical computing system can be used, i.e. in a goal-oriented way. This…
Descriptors: Teacher Attitudes, Teaching Methods, Educational Improvement, Computer Science Education
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Preston, Christine – Teaching Science, 2020
This paper details a digital technology solution to a problem that arose during a science lesson in an early years class. The teacher used the opportunity to enable the children to apply their knowledge and skills of a software application developed in a recent ICT class. Using the age-appropriate app, the students could communicate their learning…
Descriptors: Educational Technology, Technology Uses in Education, Science Instruction, Computer Software
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Kynigos, Chronis; Grizioti, Marianthi – British Journal of Educational Technology, 2020
Although there is wide rhetoric that programming should be learnt by all as an element of computational thinking (CT), in practice, it is mostly implemented narrowly as an end in itself consisting of routine practice and traditional testing of the ability to code. This paper discusses a way in which programming could be seen through a wider…
Descriptors: Educational Games, Thinking Skills, Computation, Affordances
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