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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
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
Boote, Stacy K.; Galanti, Terrie M. – Mathematics Teacher: Learning and Teaching PK-12, 2023
Mathematics achievement is positively associated with coding in the classroom. By making mathematical relationships visible to students as they code, teachers leverage rich connections between block-based computer programming and mathematical sense making. In this article, the authors describe strategies for adapting a Code.org lesson integrating…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematics Achievement, Coding
Verma, Amit; Purohit, Pratibha; Thornton, Timothy; Lamsal, Kamal – Industry and Higher Education, 2023
The fields of augmented reality (AR) and virtual reality (VR) have seen massive growth in recent years. Numerous degree programs have started to redesign their curricula to meet the high market demand for people qualified to fill related job positions. In this paper, the authors perform a content analysis of online job postings hosted on…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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
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
Damar Rais; Zhao Xuezhi – Anatolian Journal of Education, 2023
Programming languages have been used and developed in the field of education. Python programming was employed in this study. The goal of this study is to see whether there is an effect of using Pydroid in mathematics learning on students' problem-solving abilities and to see if this software satisfies or does not match the criteria for mathematics…
Descriptors: Programming Languages, Problem Solving, Vocational Education, Mathematics 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
Alexander J. Norquist; Gabriel Jones-Thomson; Keqing He; Thomas Egg; Joshua Schrier – Journal of Chemical Education, 2023
Laboratory automation and data science are valuable new skills for all chemists, but most pedagogical activities involving automation to date have focused on upper-level coursework. Herein, we describe a combined computational and experimental lab suitable for a first-year undergraduate general chemistry course, in which these topics are…
Descriptors: Laboratory Experiments, Measurement Techniques, Chemistry, Science Instruction
Endler Marcel Borges – Journal of Chemical Education, 2023
An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were…
Descriptors: Statistics Education, Programming Languages, Chemistry, Science Instruction
Elizabeth Stippell; Alexey V. Akimov; Oleg V. Prezhdo – Journal of Chemical Education, 2023
We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both time-independent and time-dependent quantum chemistry, with the latter rarely considered in the foundations course due to topic complexity. We use quantized…
Descriptors: Undergraduate Students, College Science, Quantum Mechanics, Chemistry
Shmallo, Ronit Shmallo; Shrot, Tammar – Journal of Information Systems Education, 2020
A class diagram is one of the most important diagrams of Unified Modeling Language (UML) and can be used for modeling the static structure of a software system. Learning from errors is a teaching approach based on the assumption that errors can promote learning. We applied a constructive approach of using errors in designing a UML class diagram in…
Descriptors: Programming Languages, Programming, Information Systems, Engineering Education
Cárdenas-Cobo, Jesennia; Puris, Amilkar; Novoa-Hernández, Pavel; Galindo, José Angel; Benavides, David – IEEE Transactions on Learning Technologies, 2020
Learning computer programming is a challenging process. Among the current approaches for overcoming this challenge, visual programming languages (VPLs), such as Scratch, have shown very promising results for beginners. Interestingly, some higher education institutions have started to use VPLs to introduce basic programming concepts, mainly in CS1…
Descriptors: Computer Science Education, Programming, Programming Languages, Teaching Methods
Zhang, Xihui; Crabtree, John D.; Terwilliger, Mark G.; Jenkins, Janet T. – Journal of Information Systems Education, 2020
A solid foundation in computer programming is critical for students to succeed in advanced computing courses, but teaching such an introductory course is challenging. Therefore, it is important to develop better approaches in order to improve teaching effectiveness and enhance student learning. In this paper, we present 26 tips for teaching…
Descriptors: Programming, Programming Languages, Introductory Courses, Computer Science Education
Threekunprapa, Arinchaya; Yasri, Pratchayapong – International Journal of Instruction, 2020
Computational thinking (CT) has become a necessary skill of students in the 21st century. Various learning approaches have been developed to foster CT among school students. However, these approaches predominantly rely on computer devices and internet connection and fail to promote advanced computer concepts necessary for programming. Therefore,…
Descriptors: Computation, Thinking Skills, Coding, Flow Charts