A learner can autonomously acquire knowledge by experiencing the world, without necessarily being explicitly taught. The contents and ways of this type of real-world learning are grounded on his/her surroundings and are self-determined by computing real-world information. However, conventional studies have not modeled, observed, or understood a…

While computational thinking (CT) is crucial for modern education, integrating artificial intelligence (AI) into learning poses challenges due to its complexity. Generative AI Drawing (GAID) offers an intuitive method for teaching AI concepts, but barriers such as restrictive access for younger students and limited instructional frameworks hinder…

In recent years, when computational thinking (CT) has become increasingly important, utilizing machine learning (ML) techniques provides a revolutionary method for comprehending and improving cognitive skills for young students. However, few studies deepen the process of learning ML and CT. This exploratory study aims to investigate the impact of…

Computational thinking (CT) has been increasingly recognized as a vital skill for fostering students' problem-solving and digital literacy. Preparing and motivating preservice teachers (PSTs) to effectively teach CT is, therefore, essential. Grounded in expectancy-value theory, this mixed methods research explored the impact of a workshop using…

Background/purpose: This research explores the use of robotics to facilitate the learning of computer programming among non-specialist pre-service teachers with no prior programming experience. With the increasing demand for 21st-century teaching competencies, it is essential to equip future educators with computational thinking (CT) skills, even…

In the dynamic educational context of Malaysia, this study examines the impact of integrating Unplugged Activities (UA) with Block-Based Programming (BBP) on improving the computational thinking (CT) skills of secondary students in full boarding schools in Northern Peninsular Malaysia. Using a quasi-experimental design and mixed-methods analysis,…

The purpose of this study was to design a curriculum of artificial intelligence (AI) application for secondary schools. The learning objective of the curriculum was to allow students to learn the application of conversational AI on a block-based programming platform. Moreover, the empirical study actually implemented the curriculum in the formal…

Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking…

The domain of early childhood education has witnessed an increasing emphasis on developing coding and computational thinking (CT) abilities. Scholarly investigations have delved into appropriate approaches for enhancing these proficiencies within early childhood classrooms. The present study aims to investigate the impact of a digital story design…

Objectives: Computer Science (CS) education has become increasingly prevalent in elementary schools because of multiple rationales, such as the importance of computational literacy and the growing demand for CS-related workforce preparation. As elementary CS standards continue to be adopted by many states, more examples and voices from the field…

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…

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…

The authors present a Web application they designed in the R programming language as an experiential learning tool for teaching production theory. The app simulates production decisions where a manager is tasked to find the optimal mixture of inputs through experimentation. Users of the application are instructed to use calculations and intuitions…

"Paideia," a Classical ancient Greek notion of education, encompassed both holistic formal instruction and art (particularly poetry) as means to develop cultural values and understanding. This dissertation examines how the new media arts--as a transdisciplinary and computational field--can be leveraged to fulfill a contemporary notion of…

This paper explores the experiences and learning outcomes of preservice elementary teachers (PSTs) as they integrate computational thinking (CT) into their teaching practices during a structured field experience. Through a qualitative content analysis of video reflections from 27 PSTs, the study examines how teaching CT lessons to K-2 students…