Block-based programming (BBP) environments have become increasingly commonplace computer science education. Despite a rapidly expanding ecosystem of BBP environments, text-based languages remain the dominant programming paradigm, motivating the transition from BBP to text-based programming (TBP). Support students in transitioning from BBP to TBP is an important and open design question. This work identifies 101 unique BBP environments, analyzes the 46 of them and identifies different design approaches used to support the transition to TBP. The contribution of this work is to provide a snapshot

Blocks-based programming tools are becoming increasingly common in high-school introductory computer science classes. Such contexts are quite different than the younger audience and informal settings where these tools are more often used. This paper reports findings from a study looking at how high school students view blocks-based programming tools, what they identify as contributing to the perceived ease-of-use of such tools, and what they see as the most salient differences between blocks-based and text-based programming. Students report that numerous factors contribute to making blocks

Design thinking emphasizes that in addition to being creative, design solutions should be empathetic. Yet, research suggests there may be a tension between these goals, where focusing on empathy comes at a cost to creativity, sometimes by inducing fixation. We investigated this phenomenon through a quasi-experimental design with novice designers, contrasting two structured ideation techniques in which participants (N = 47) generated bad ideas prior to proposing beneficial ideas. Specifically, they used the wrong theory protocol (WTP) to generate harmful and humiliating ideas, and a variant in

In the ConnecTions in the Making project, researchers and district partners work to develop and study community-connected, integrated science and engineering curriculum units that support diverse elementary students’ science and engineering ideas, practices, and attitudes. In the community-connected units, students in the third, fourth, and fifth grades use human-centered design strategies to prototype and share functional solutions to a design challenge rooted in the students’ local community while scientifically exploring the phenomena and mechanisms related to the challenge. One of the

Applications of generative models such as Generative Adversarial Networks (GANs) have made their way to social media platforms that children frequently interact with. While GANs are associated with ethical implications pertaining to children, such as the generation of Deepfakes, there are negligible eforts to educate middle school children about generative AI. In this work, we present a generative models learning trajectory (LT), educational materials, and interactive activities for young learners with a focus on GANs, creation and application of machine-generated media, and its ethical

Artificial intelligence (AI) is permeating the world around us, changing the ways we live, work, and learn. The National Science Foundation (NSF) lists AI as one of its organization-wide priorities, and is encouraging programs like ITEST to pursue what it means to prepare youth for careers in AI. In response to this, the STELAR convened an AI working group comprised of more than 20 projects funded through a variety of NSF programs. This paper is designed to highlight the areas being explored by these projects, to provide an overview of what has been funded within the ITEST portfolio to date

Calls to improve learning in science, technology, engineering,and mathematics (STEM), and particularly engineering, present significantchallenges for school systems. Partnerships among engineering industry, uni-versities, and school systems to support learning appear promising, but currentwork is limited in its conclusions because it lacks a strong connection to theo-retical work in interorganizational collaboration.

Many youth on the autism spectrum possess interests and strengths for STEM-related postsecondary pathways, yet there are few research-based programs to support those interests and competencies including complex problem solving and social communication. This qualitative study explored the experiences and perceived outcomes of students, teachers, and parents participating in an inclusive, strength-based, extracurricular engineering design program entitled the IDEAS Maker Club. Twenty-six students, 13 parents, and nine teachers in the program completed interviews and program logs while

The construct of Computational Thinking (CT) frst emerged to describe problem solving in the context of computing environments, but it has expanded to serve as a set of practices that can be applied across disciplines with or without the use of computers. We recorded students’ work during two lab sessions in an undergraduate, biology-engineering course to answer the question, how did students’ participation in CT practices vary according the disciplinary contexts and the demands of a biology lab compared to the engineering lab? We found that students applied some of the same CT practices, but

Civic-science integrates science knowledge with civic practice but differs from the citizen-science prototype by reframing science as a public good and citizens as both recipients of and actors in policy. We draw from our studies of a civic-science model in which adolescents (majority African-American) collaborate with teachers and community partners to mitigate an environmental problem in their urban community. Based on students’ reflections on what they learn from these projects we have developed Environmental Commons theory, referring both to the natural resources on which life depends and