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Articles 1 - 6 of 6
Full-Text Articles in Science and Mathematics Education
Stem Education In College: An Analysis Of Stakeholders’ Recent Challenges And Potential Solutions, Santanu De, Georgina Arguello
Stem Education In College: An Analysis Of Stakeholders’ Recent Challenges And Potential Solutions, Santanu De, Georgina Arguello
FDLA Journal
A vast majority of academic disciplines and curricula in the college center around Science, Technology, Engineering, and Mathematics (STEM), which are critical to developing the skills necessary for a global workforce. Rapid changes in pedagogical setups, educational modes, and advances in instructional technology entail diverse challenges for key stakeholders (i.e. students, faculty, and the organizations). This paper highlights the most relevant challenges and potential solutions in STEM higher education at the college level, reported in the last decade. The holistic analysis combining the three stakeholders’ perspectives would help elucidate significant contemporary aspects impacting the fields. The goal is to further …
Nature Of Problem-Solving Skills For 21st Century Stem Learners: What Teachers Need To Know, Paul Nnanyereugo Iwuanyanwu
Nature Of Problem-Solving Skills For 21st Century Stem Learners: What Teachers Need To Know, Paul Nnanyereugo Iwuanyanwu
Journal of STEM Teacher Education
Since the emergence of the fourth industrial revolution which calls for a new model of learning for the twenty-first century learners, it has been argued that the nature of problems that learners must solve in science, technology, engineering and mathematics (STEM) must also be transformed to enable new forms of learning skills that are needed to tackle complex global challenges. However, the question of how best to teach these skills purposefully and explicitly is largely overlooked. STEM education reformers recognize that the lecture method or traditional method of teaching is highly ineffective for teaching twenty-first century competencies and skills that …
Elementary Teachers’ Mental Images Of Engineers At Work, Rebekah Hammack, Juliana Utley, Toni Ivey, Karen High
Elementary Teachers’ Mental Images Of Engineers At Work, Rebekah Hammack, Juliana Utley, Toni Ivey, Karen High
Journal of Pre-College Engineering Education Research (J-PEER)
The purpose of the current study was to determine the impacts of a multiple-day engineering-focused professional development program on elementary teachers’ perceptions of the work of engineers and their use of mathematics and science. Data were collected in the form of drawings of engineers prior to and immediately after the professional development program as well as an open-ended exit survey at the end of the program. Participants’ drawings were scored in the following areas: use of mathematics, use of science, and work of an engineer. Wilcoxon signed-rank tests revealed that the only significant change between measures was in ‘‘work of …
Demonstration Of A Distributed Bragg Reflector For Polyvinylcarbazole And Cadmium Sulfide Layers: Modeling And Comparison To Experimental Results, Javier E. Hasbun, L. Ajith Desilva
Demonstration Of A Distributed Bragg Reflector For Polyvinylcarbazole And Cadmium Sulfide Layers: Modeling And Comparison To Experimental Results, Javier E. Hasbun, L. Ajith Desilva
Georgia Journal of Science
Light wave propagation in a periodically stratified medium has many applications in physics, mathematics, and engineering. The subject is of interest to students, teachers, and researchers, as it presents a great opportunity to focus on principles of optics and to understand the basics of mathematical modeling. A complete theory of wave propagation can be derived using Born’s optics theory. We employed that theory to determine the reflectivity of a one-dimensional distributed Bragg reflector (DBR) and do simulations using MATLAB. A DBR is a photonic crystal consisting of alternating layers of materials with different refractive indices. In this study, we modeled …
Understanding Early Childhood Engineering Interest Development As A Family-Level Systems Phenomenon: Findings From The Head Start On Engineering Project, Scott Pattison, Gina Svarovsky, Smirla Ramos-MontañEz, Ivel Gontan, Shannon Weiss, VeróNika NúÑEz, Pam Corrie, Cynthia Smith, Marcie Benne
Understanding Early Childhood Engineering Interest Development As A Family-Level Systems Phenomenon: Findings From The Head Start On Engineering Project, Scott Pattison, Gina Svarovsky, Smirla Ramos-MontañEz, Ivel Gontan, Shannon Weiss, VeróNika NúÑEz, Pam Corrie, Cynthia Smith, Marcie Benne
Journal of Pre-College Engineering Education Research (J-PEER)
There is growing recognition that interest is critical for engaging and supporting learners from diverse communities in engineering and other science, technology, engineering, and mathematics (STEM) topics. Although interest research has historically focused on older children, studies demonstrate that preschool-age and younger children also develop persistent, individualized interests in different objects, activities, and topics and that these early interests have important implications for ongoing learning and development. Unfortunately, there is relatively little research on engineering learning in early childhood and almost no work specific to the concept of interest. To begin to address this need, we conducted in-depth case study …
Accelerating Reinforcement Learning With Prioritized Experience Replay For Maze Game, Chaoshun Hu, Mehesh Kuklani, Paul Panek
Accelerating Reinforcement Learning With Prioritized Experience Replay For Maze Game, Chaoshun Hu, Mehesh Kuklani, Paul Panek
SMU Data Science Review
In this paper we implemented two ways of improving the performance of reinforcement learning algorithms. We proposed a new equation to prioritize transition samples to improve model accuracy, and by deploying a generalized solver of randomly-generated two-dimensional mazes on a distributed computing platform, our dual-network model is available to others for further research and development. Reinforcement Learning is concerned with identifying the optimal sequence of actions for an agent to take in order to reach an objective to achieve the highest score in the future. Complex situations can lead to computational challenges in terms of both finding the best answer …