Education has undergone many changes in teaching and learning, intensified by the significant technological developments that have responded to the fourth industrial revolution and other emergent situations. In this context, developing information and communication technologies has become vital in supporting new ways and learning models in the…

This emerging technology report introduces the "WearableLearning" (WL) platform as a tool to exercise computational thinking and STEM learning for 5-12th grade students through mobile technology-augmented active game play and game creation. Freely available at "WearableLearning.org," it allows students and teachers to play,…

Coding is a process often associated with computers. Nevertheless, coding is a thought process that can be mastered even without a computer. In NSW, primary students are introduced to computational and algorithmic thinking as early as Stage 1. Yet, teaching coding to young students is not always easy for teachers, mostly because the process is…

When the Learning Sciences emerged in 1991, there was an ethos of studying learning in humans and machines in conjunction with one another. This ethos reflected three decades of prior work on the interdisciplinary study of learning; however, in the three decades since the emergence of the Learning Sciences, it seems to have largely disappeared. I…

In this article, Fishbone-based advanced computational thinking (FACT) pedagogy is proposed by fusing fishbone pedagogy and computational thinking pedagogy for enhancing teaching-learning process while teaching engineering and science courses, for engineering and science students respectively. The proposed FACT pedagogy has been implemented using…

To provide practice and assessment of computational thinking, we need specific problems students can solve. There are many such problems, but they are hard to find. Learning environments and assessments often use only specific types of problems and thus do not cover computational thinking in its whole scope. We provide an extensive catalog of…

Current environmental problems are the primary focus for environmental science students and researchers. Sustainable environmental solutions require interdisciplinary thought processes, which pose difficulty to both students and the public. Computational thinking is an emerging term emphasized by progressive science curricula. Computational…

As schools endeavor to provide all students with access to computational thinking and computer science, the hackathon emerges as a competitive and high-energy event that uses authentic problems to motivate learners to engage in the domain of computing. This article presents the design case of a hackathon for teenagers as enacted over five…

Computers and computer algorithms have contributed to important scientific advances by allowing scientists and engineers to create and use sophisticated models to explain and predict phenomena. Yet, of the eight "Next Generation Science Standards" ("NGSS") science and engineering practices, computational thinking may be the…

With Big Data revolution, the education sector is being reshaped. The current data-driven education system provides many opportunities to utilize the enormous amount of collected data about students' activities and performance for personalized education, adapting teaching methods, and decision making. On the other hand, such benefits come at a…

Computational chemistry techniques are used along with spectroscopy to characterize acetaminophen synthesized in an undergraduate chemistry laboratory experiment. The inclusion of electronic structure calculations to provide infrared and Raman spectra in the synthesis and characterization of acetaminophen connects over-the-counter medications with…

Student-centered teaching has become increasingly common in higher education as researchers have demonstrated its efficacy in recent decades. Herein, we hope to establish an efficient problem-based learning (PBL) method, which can help upper-division students learn organic chemistry content by combining teaching materials, experimental literature,…

In this paper we follow a hypothetical mathematician who is working on a problem that is eventually solved. We treat this problem as if it were difficult for the mathematician. In following the mathematician's work, we note both what she does and what she doesn't do in the process. By the latter, we consider the times when progress is not being…

Computational skills are increasingly important for conducting research in the agricultural and natural sciences. However, barriers to training availability and accessibility have left many life scientists under-prepared. To address these challenges, we developed a workshop series led by graduate students to cover topics relevant to research needs…

Proposed is a new method of standard setting referred to as response vector for mastery (RVM) method. Under the RVM method, the task of panelists that participate in the standard setting process does not involve conceptualization of a borderline examinee and probability judgments as it is the case with the Angoff and bookmark methods. Also, the…