Computational Thinking Self-Efficacy in High School Latin Language Learning

Research suggests that computational thinking is a necessary skill exercised in STEM courses, non-STEM fields, and in everyday life. However, very little research has investigated the potential transfer of computational thinking self-efficacy available through classical Latin courses. This causal comparative study contrasted the computational thinking self-efficacy of computer science students with no exposure to Latin to computer science students with exposure to Latin at a Memphis all-boy high school. The independent variables were Latin language learning experience, i.e., up to 6 years total of Latin language learning (n = 33), versus 0 years of Latin language learning experience (n = 20). Additional data on the number of years enrolled in other foreign languages was collected. The dependent variable was mean scores of items found on a computational thinking and problem solving self-efficacy scale. This instrument uses a Likert scale to measure students self-efficacy in nine computational thinking components including algorithmic thinking; abstraction; problem decomposition; data collection, representation, and analysis; parallelization; control flow; incremental and iterative; testing and debugging; and questioning. Conducting this research addressed the question of whether the computational thinking skills present in Latin can transfer to a students computational thinking self-efficacy which may affect STEM/computer science course achievement. To test the null hypothesis that having a Latin language learning yields no significant influence on computer science students self-efficacy in computational thinking and problem solving, a multivariate analysis of variance (MANOVA) test was utilized for this causal-comparative study. To test the null hypotheses that having a Latin language learning yields no significant influence on computer science students abstraction, problem decomposition, data, parallelization, control flow, incremental and iterative, testing and debugging, and questioning skills self-efficacy, a separate ANOVA test were run for each computational thinking skill component.The data did not meet of the necessary assumptions for a MANOVA test. The sample size for the non-Latin group was a concern at n = 20. The means from the descriptive statistics show that the non-Latin group outscored the Latin group in most of the computational thinking skills. Pillais trace statistic from the MANOVA test showed no statistical significance in the computational thinking and problem solving scale. The individual results from the ANOVA tests showed no statistical significance for any of the nine subscales

Abrupt Shift or Caught Off Guard: A Systematic Review of K-12 Engineering and STEM Education’s Response to the COVID-19 Pandemic

In the past hundred years, there have been a number of pandemics that have affected the entire world, including the 1918 H1N1 influenza pandemic, the 1957 H2N2 influenza pandemic, and the 2009 H1N1 influenza pandemic. While responses to the most recent H1N1 influenza pandemic remained local, the COVID-19 pandemic, on the other hand, resulted in long-term school closures all around the world, prompting a sudden shift to distant education by compelling K-12 educators and students to do so. The purpose of this study is to find out how K-12 education studies reacted to the sudden shift in supporting engineering and STEM (science, technology, engineering, and mathematics) education during the COVID-19 pandemic. To accomplish this goal, we conducted two separate searches in different databases and reviewed 25 articles. These articles were classified into four categories: (1) adaptation to online learning and the effects of a sudden shift, (2) implementing new strategies and tools, (3) STEM education in informal learning environments, and (4) teacher professional development. Our analysis indicated that engineering and STEM education research primarily focused on higher education during the COVID-19 pandemic. The limited number of studies examining K-12 engineering and STEM first investigated the adaptation to online learning by utilizing various resources that elementary and secondary teachers could easily access. Blended learning, flipped learning, and maker pedagogy were encouraged in K-12 engineering and STEM studies. Movies were the most commonly used tool in K-12 engineering and STEM studies. It is encouraging that studies also examined informal learning contexts (outreach initiatives, museums) and inequities in STEM and engineering education. However, the small number of studies in each category reminds us that there is still a lot of work to be done in terms of the future of K-12 engineering education, especially considering that distant education may become a permanent part of K-12 education

A Case Study on the Efficacy of STEM Pedagogy in Central New York State: Examining STEM Engagement Gaps Affecting Outcomes for High School Seniors and Post-2007 Educational Leadership Interventions to Reinforce STEM Persistence with Implications of STEM Theoretic Frameworks on Artificial Intelligence / Machine Learning

STEM (science, technology, engineering, and mathematics) has gained significant notoriety and momentum in recent years. STEM literacy highlights the vital connection between an educated STEM workforce and U.S. national prosperity and leadership. STEM educational and job placement goals have been a national priority for over the past 20 years. However, the STEM gap is widening—contributing to increasing STEM pipeline leakage and the social injustice milieu of a noncompetitive workforce— undermining efforts to create prosperity and sustain global leadership. The pace of STEM jobs filled lags the rate of technological advancement and the surges in skilled STEM labor demand. The aggregate disparity over time has troubling implications. The purpose of the study was to examine the STEM gap touchpoints for a Central New York high school during the transition period upon entering college or the workforce. A qualitative case study used Lesh’s translation model as a research framework. A semi-structured, focus group protocol was employed to gain a fresh perspective on the STEM gap problem and identify purposeful interventions. A major finding was the slow pace of adopting institutional reforms that replaces standardscompetency-based learning with progressive application- and outcome-based pedagogy. The study has implications for school districts, secondary schools, and higher education teacher preparedness programs in STEM pedagogy and curriculum development. A knowledge-based, progressive STEM theoretic framework with pedagogical scaffolding is conceptualized rooted in artificial intelligence and machine learning. The study presents recommendations for school districts, secondary education teachers, state education and legislative leaders, higher education institutions, and future research

Developing an Inclusive K-12 Outreach Model

This paper outlines the longitudinal development of a K-12 outreachmodel, to promote Computer Science in Ireland. Over a three-yearperiod, it has been piloted to just under 9700 K-12 students fromalmost every county in Ireland. The model consists of a two-hourcamp that introduces students to a range of Computer Sciencetopics: addressing computing perceptions, introduction to codingand exploration of computational thinking. The model incorporateson-site school delivery and is available at no cost to any interestedschool across Ireland. The pilot study so far collected over 3400surveys (pre- and post-outreach delivery).Schools from all over Ireland self-selected to participate, includ-ing male only, female only and mixed schools. The no-cost natureof the model meant schools deemed disadvantaged , to privatefee-paying schools participated. Initial findings are very positive,including the balance of male and female participants, where in the2017-18 academic year it was 56:44 and in 2019-20 (to date), it is35:65 respectively. Once the model is validated and tweaked (basedon survey data), the model will be published (open access) for otherinstitutions to implement the model locally. In addition, the authorsintend to link schools (that the team have worked with over thethree years) with local institutions, thus developing a sustainableecosystem for the program to continue. This paper describes themodel structure and outlines early finding

iSTEM Teaching & Learning Conference Program 2017

iSTEM Conference Program 201

A Systematic Review of Studies on Educational Robotics

There has been a steady increase in the number of studies investigating educational robotics and its impact on academic and social skills of young learners. Educational robots are used both in and out of school environments to enhance K–12 students’ interest, engagement, and academic achievement in various fields of STEM education. Some prior studies show evidence for the general benefits of educational robotics as being effective in providing impactful learning experiences. However, there appears to be a need to determine the specific benefits which have been achieved through robotics implementation in K–12 formal and informal learning settings. In this study, we present a systematic review of the literature on K–12 educational robotics. Based on our review process with specific inclusion and exclusion criteria, and a repeatable method of systematic review, we found 147 studies published from the years 2000 to 2018. We classified these studies under five themes: (1) general effectiveness of educational robotics; (2) students’ learning and transfer skills; (3) creativity and motivation; (4) diversity and broadening participation; and (5) teachers’ professional development. The study outlines the research questions, presents the synthesis of literature, and discusses findings across themes. It also provides guidelines for educators, practitioners, and researchers in areas of educational robotics and STEM education, and presents dimensions of future research

Introducing Coding Into Teacher Education: An Interdisciplinary Robotics Experience for Education and Engineering Students

Despite nationwide mandates to integrate computer science into P-6 curriculum, most P-6 preservice teachers (PSTs) are not exposed to coding or computational thinking during their professional preparation, and are unprepared to teach these topics. This study, conducted as a part of an NSF-funded project, explores a teacher preparation model designed to increase PSTs’ coding knowledge and coding self-efficacy. PSTs in an educational technology course partnered with engineering undergraduates (EUs) in a computational methods course and worked side-by-side on robotics activities to develop skill and confidence with basic programming concepts and block coding. Students utilized experience gained from these interdisciplinary partnerships to lead robotics activities with fifth and sixth grade students (FSGs) in an after-school technology club. Findings from quantitative studies suggest that the implementation of the approach resulted in a significant increase in both PSTs’ coding knowledge and coding self-efficacy. Qualitative studies revealed that most PSTs’ and EUs’ perceived value of the project was positive

Advances in Teaching & Learning Day Abstracts 2005

Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2005

Serious Toys: Teaching Computer Science Concepts to Pre-Collegiate Students

Advancements in science and engineering have driven innovation in the United States for more than two centuries. The last several decades have brought to the forefront the importance of such innovation to our domestic and global economies. To continue to succeed in this information-based, technologically advanced society, we must ensure that the next generation of students are developing computational thinking skills beyond what was acceptable in past years. Computational thinking represents a collection of structured problem solving skills that cross-cut educational disciplines. There is significant future value in introducing these skills as early as practical in students\u27 academic careers. Over the past four years, we have developed, piloted, and evaluated a series of outreach modules designed to introduce fundamental computing concepts to young learners. Each module is based on a small embedded device a \u27serious toy\u27 designed to simultaneously engage visual, auditory, and kinesthetic learners through lectures, visual demonstrations, and hands-on activities. We have piloted these modules with more than 770 students, and the evaluation results show that the program is having a positive impact. The evaluation instruments for our pilots consist of pre- and post-attitudinal surveys and pre- and post-quizzes. The surveys are designed to assess student attitudes toward computer science and student self-efficacy with respect to the material covered. The quizzes are designed to assess students\u27 content understanding. In this dissertation, we describe the modules and associated serious toys. We also describe the module evaluation methods, the pilot groups, and the results for each pilot study

Insights from Two Decades of P-12 Engineering Education Research

The 21st century has seen a growing movement in the United States towards the adoption of engineering and technology as a complement to science education. Motivated by this shift, this article offers insights into engineering education for grades P-12, based on a landscape review of 263 empirical research studies spanning the two decades from January 2000 to June 2021. These insights are organized around three core themes: (1) students’ understandings, skills, and attitudes about engineering and technology; (2) effective methods of P-12 engineering education; and (3) benefits of P-12 engineering education. The insights are captured in the form of evidence-based claims summarized as a set of ten findings. The findings start with the recognition that students at all age levels in the United States—though not in many other countries—have narrow conceptions of technology and engineering. A key finding is that for students to pursue science, technology, engineering, and mathematics (STEM) fields, it is important to develop their interest at an early age. Several findings address effective strategies for engaging students in engineering, both in schools and in afterschool and summer programs. These include generalizable teaching methods suitable across a wide range of educators and students, as well as topical approaches around specific themes such as the design of robots, or biomedical devices. One of the most encouraging findings is that multiple methods have successfully addressed a major social inequity: improving the attitudes, STEM skills, and career aspirations of girls, students of color, and students from low-income families. The last group of findings addresses the benefits of engineering education including not only increased knowledge and skills, but also lifelong skills such as teamwork, communication, and creativity, as well as persistence, motivation, self-confidence, and STEM identity. We hope that these insights may be of value to researchers, educators, administrators, and policy leaders