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W. Paige Hall; Kevin Cantrell – Journal of Chemical Education, 2024
Human-driven carbon emissions have resulted in increased levels of dissolved carbon dioxide in the Earth's oceans. This dissolved carbon dioxide reacts with water to form carbonic acid, which impacts ocean acidity as well as the solubility of carbonate-containing compounds, with far-reaching impacts on marine ecosystems and the human communities…
Descriptors: Programming Languages, Computer Science Education, Chemistry, Marine Biology
Mirolo, Claudio; Izu, Cruz; Lonati, Violetta; Scapin, Emanuele – Informatics in Education, 2021
When we "think like a computer scientist," we are able to systematically solve problems in different fields, create software applications that support various needs, and design artefacts that model complex systems. Abstraction is a soft skill embedded in all those endeavours, being a main cornerstone of computational thinking. Our…
Descriptors: Computer Science Education, Soft Skills, Thinking Skills, Abstract Reasoning
Kwon, Yeil; Sahin, Nesrin – International Society for Technology, Education, and Science, 2021
Probability is generally considered one of the most challenging areas to teach in mathematics education due to its intricate nature. However, the simulation-based teaching method can increase students' accessibility significantly to the probability problems because it enables students to resolve the problems with minimal mathematical skills. By…
Descriptors: Probability, Mathematics Instruction, Difficulty Level, Teaching Methods
Menon, Pratibha – Journal of Information Systems Education, 2023
This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…
Descriptors: Introductory Courses, Programming, Computer Science Education, Feedback (Response)
Gojkovic, Ljubomir; Malijevic, Stefan; Armakovic, Stevan – Physics Education, 2020
In this work three examples of textbook circuits (resistor-capacitor, resistor-inductor and resistor-inductor-capacitor) have been modeled by employing the Euler method for the approximate solution of differential equations using algorithms implemented in the "Python" programming language. The aim of this work was to demonstrate how…
Descriptors: Science Instruction, Programming Languages, Teaching Methods, Mathematics
Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Simon D. Weaver; G. Alex Ambrose; Rebecca J. Whelan – Journal of Chemical Education, 2022
Students completing undergraduate majors in chemistry are not typically required to undergo formal training in computer programming or coding. As a result, many chemistry students are graduating without skills in understanding, writing, or manipulating computer code. This skills gap places students at a disadvantage, considering the widespread and…
Descriptors: Coding, Undergraduate Students, Majors (Students), Chemistry
Gough, John – Australian Primary Mathematics Classroom, 2018
In fact, ever since Seymour Papert (famous in his later years for constructionism, a learning theory that married conceptual constructivism with concrete experience) created Logo programming, many schools have been coding using Logo, the educational computer programming software that has the famous 'turtle' on the computer screen. Importantly,…
Descriptors: Coding, Programming, Programming Languages, Computer Software
Oshanova, Nurzhamal; Anuarbekova, Gulzat; Shekerbekova, Shirinkyz; Arynova, Gylnar – Australian Educational Computing, 2019
In this paper, the researchers have tried to solve one of the didactic tasks of an educational institution - the formation of a student's thinking, the development of their algorithmic style of thinking and intelligence. Since an important component of human intellectual development is precisely algorithmic thinking, learning to solve standard…
Descriptors: Mathematical Concepts, Computer Science Education, Programming Languages, Secondary School Students
Szlávi,Péter; Zsakó, László – Acta Didactica Napocensia, 2017
As a programmer when solving a problem, a number of conscious and unconscious cognitive operations are being performed. Problem-solving is a gradual and cyclic activity; as the mind is adjusting the problem to its schemas formed by its previous experiences, the programmer gets closer and closer to understanding and defining the problem. The…
Descriptors: Problem Solving, Programming, Mathematics, Programming Languages
Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Thomson, Ian – Australian Mathematics Teacher, 2017
Snowflakes falling in Brisbane, Australia would likely make news headlines during any season of a given year, even during winter. Year 8 students at Ormiston College which is located in Brisbane, have made their own snowflakes--of a kind. Using the programming language Scratch, all Year 8 Mathematics students wrote code to construct Swedish…
Descriptors: Technology Uses in Education, Programming Languages, Secondary School Mathematics, Secondary School Students
Huang, Hong – Online Submission, 2016
Project-Based Learning (PBL) is a widely adopted pedagogy that ignites students' interest of a subject through the investigation of an authentic problem and cultivates their abilities of innovation and self-learning. Traditional PBL often involves a project of complexity and significant scale, which, under the time constraint of a course, is often…
Descriptors: Active Learning, Student Projects, Teaching Methods, Computer Science Education
Weiss, Charles J. – Journal of Chemical Education, 2017
The Scientific Computing for Chemists course taught at Wabash College teaches chemistry students to use the Python programming language, Jupyter notebooks, and a number of common Python scientific libraries to process, analyze, and visualize data. Assuming no prior programming experience, the course introduces students to basic programming and…
Descriptors: Science Instruction, College Science, Chemistry, Computer Uses in Education
Stevens, Vance; Verschoor, Jennifer – TESL-EJ, 2017
According to Dudeney, Hockly, and Pegrum (2013) coding is a deeper skill subsumed under the four main digital literacies of language, connections, information, and (re)design. Coders or programmers are people who write the programmes behind everything we see and do on a computer. Most students spend several hours playing online games, but few know…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Critical Thinking