The working retired population is more populated now than ever before in human history. There have been various studies in the area of Information Computer Technology use in the workplace, the area of workforce training, and the area of training of individuals within various age groups, but little to no research addressing the experience of…

Academic entrepreneurship refers to university faculty engagement in commercialization of research and innovative activities that are beyond their academic work in research, teaching, and service in their university. Academic entrepreneurship includes three types of entrepreneurial activities: academic patenting, technology licensing, and…

Collaborative learning has long been investigated for its benefits to learners. Prior research indicates that collaboration may help students develop more sophisticated arguments and learn more effectively. While a great deal of research has been completed on how elementary students collaborate, there has been little research on how they…

Data Structures and Algorithms are a central part of Computer Science. Due to their abstract and dynamic nature, they are a difficult topic to learn for many students. To alleviate these learning difficulties, instructors have turned to algorithm visualizations (AV) and AV systems. Research has shown that especially engaging AVs can have an impact…

Background and Context: Recent research suggests that there is work to be done in overcoming color-evasive ideologies in Computer Science (CS) education. In particular, we have limited insight into how to support white teachers in using Culturally Responsive Computing (CRC) approaches. This paper addresses this gap in the literature by analyzing…

The teaching-learning methodology adopted in the Introduction to Computer Science classes may be a process that makes it difficult to understand the principles of programming language for undergraduate students in Computer Science and related areas, generating high failure and course drop out rates. This paper presents an analysis of the results…

Computationally intensive science (CIS)-related disciplines and careers are predicted to be among the cutting-edge fields and high-demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)-related understanding and skills. Preparing educational systems for developing interest and…

This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…

Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…

We live in a digital age, not least accelerated by the COVID-19 pandemic. It is all the more important in our society that students learn and master the key competence of algorithmic thinking to understand the informatics concepts behind every digital phenomena and thus is able to actively shape the future. For this to be successful, concepts must…

Background and Context: As computing fields aim to both expand and diversify, narrowing representation gaps in undergraduate computing majors requires focus on retaining women and racially/ethnically minoritized students to the point of degree attainment. Objective: This study addresses the factors that contribute to persistence in computing…

As technology and curricula continue to evolve and develop, the prevalence and effectiveness of continuing professional development (CPD) opportunities for computer science teachers is becoming increasingly more important. However, key questions remain about what the characteristics are for effective CPD in this context. Through the presentation…

Background and Context: A key challenge in advancing computer science education in K-12 schools is teacher preparation and support. School-university partnerships and service-learning programs where undergraduates assist teachers represent one promising approach to supporting K-12 computer science teaching. Objectives: In this work, we examine the…

A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…

This article provides an in-depth look at how K-12 students should be introduced to Machine Learning and the knowledge and skills they will develop as a result. We begin with an overview of the AI4K12 Initiative, which is developing national guidelines for teaching AI in K-12, and briefly discuss each of the "Five Big Ideas in AI" that…