Herein, we present a program implemented in Python that utilizes a simple complete-search algorithm to determine the geometry of a lanthanide-substrate (LS) complex. The program serves as a practical project in a programming course for chemistry students, specifically aimed at illustrating fundamental concepts such as decision-making, repetition,…

Computing has become essential in modern-day problem-solving, making computational literacy necessary for practicing scientists and engineers. However, K-12 science education has not reflected this computational shift. Integrating computational thinking (CT) into core science courses is an avenue that can build computational literacies in all…

The COVID-19 pandemic is a historic global event that has extended to all parts of society and shaken the core of what we know and how we live. During this pandemic, the work of STEM professionals has taken center stage. Through our close observations of how the events of the pandemic have been unfolding across the globe, we propose an…

The integration of computational modelling in science classrooms provides a unique opportunity to promote key 21st century skills including computational thinking (CT) and collaboration. The open-ended, problem-solving nature of the task requires groups to grapple with the combination of two domains (science and computing) as they collaboratively…

This paper analyses the phenomena of co-existence of competing moral principles in a university merger. In doing so, the paper builds on Boltanski and Thévenot's theoretical framework of orders of worth to account for the ways in which different social actors, both inside and outside academia, actively engage in justification work to solve…

The study aimed to present suggestions for how a design thinking (DT) approach can be applied in the processes of teaching programming to gifted students and to reveal its effects on the teaching process. The case study method was used. 5 different DT tasks were defined to create solutions for an unstructured problem by using programming tools and…

Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning…

"Building Computational Thinkers," a three-year research study, explored how educators and designers can most effectively support the development of computational thinking capacity, and how these learning experiences could be customized to meet the needs of different learners. This research study focused on three specific exhibit design…

Suggestions are offered for using computers to solve scientific problems rather than focusing on computer science itself. Suggested are scientific language programming, assembly-language programming, and logical design and business language programming. A summary of available equipment and some suggestions for program implementation are included.…

Describes Diagnosis for Instruction in Problem Solving (DIPS), a new line of research for science educators interested in interdisciplinary efforts and ways in which computer technology might be used to better understand how to improve science teaching. Outlines the basic architecture of DIPS in terms of instruction and research implications.…

Closed laboratories are becoming an increasingly popular approach to teaching introductory computer science courses, as they facilitate structured problem-solving and cooperation. However, most closed laboratories have been designed and implemented without embedded instructional research components for constant evaluation of the laboratories'…

Describes a computer program used in an experiment in which the partial molal volumes of sodium chloride solutions are calculated as a function of concentration from densities measured with a pycnometer. The complete program listing (also available from the author on disk) and a sample run are included. (JN)

Describes a concentrated course of one week duration in elementary computer physics. The purpose of it is to introduce computer physics and to show how to remove the traditional constraints on physics courses, and to gain insight into the solutions of complex problems using the computer. (GA)

Annotates reference material on artificial intelligence, mostly at an introductory level, with applications to education and learning. Topics include: (1) programing languages; (2) expert systems; (3) language instruction; (4) tutoring systems; and (5) problem solving and reasoning. (JM)

Discusses a study which focused on students' actual programming behavior. Descriptive data revealed that the high school students spent little time in planning their programs or writing their code. Their debugging behavior was characterized as a trial and error strategy. (ML)