Computer-Using Educators Spring CUE 2023 National Conference; Palm Springs, CA, Hybrid
To learn more, visit https://web.cvent.com/event/10254fc1-3423-4ffc-a5e0-dbcf477b964d/websit….
To learn more, visit https://web.cvent.com/event/10254fc1-3423-4ffc-a5e0-dbcf477b964d/websit….
We explored how preservice teachers in a middle school science methods course learned and applied computational thinking (CT) concepts and activities during a month-long
intervention. In the intervention, preservice teachers learned about CT concepts through an hour-long lecture in their methods class, practiced a computing-integration activity for
We explored how preservice teachers in a middle school science methods course learned and applied computational thinking (CT) concepts and activities during a month-long
intervention.
Teaching about wave structure and function is a critical element of any physical science curriculum and supported by Next Generation Science Standards (NGSS) PS4: Waves and Their Applications in Technologies for Information Transfer. Often, instruction focused on these concepts involves identifying and describing several aspects of wave structure, including amplitude, frequency, and wavelength. To support students’ learning of these ideas, teachers often rely on developing graphic models of a wave with students identifying different aspects of wave structure.
Teaching about wave structure and function is a critical element of any physical science curriculum and supported by Next Generation Science Standards (NGSS) PS4: Waves and Their Applications in Technologies for Information Transfer. Often, instruction focused on these concepts involves identifying and describing several aspects of wave structure, including amplitude, frequency, and wavelength. To support students’ learning of these ideas, teachers often rely on developing graphic models of a wave with students identifying different aspects of wave structure. To enhance this experience, some teachers employ readily available simulations from trusted websites, such as PhET or Netlogo. Digital resources are valuable tools that teachers can use to support students’ science understanding through manipulating elements of digitally constructed scientific models. These approaches to teaching promote students’ engagement in the practice of designing (drawing a wave) and using scientific models (working with a simulation). To expand upon these resources, we developed a series of instructional activities that deepen students’ conceptual understanding of waves by engaging in computational thinking while developing and using scientific and mathematical models.
Background and Context
Students’ self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students’ initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning in that domain. One way to enhance interest in CS is through using collaborative pair programming.
Students’ self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students’ initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning in that domain. One way to enhance interest in CS is through using collaborative pair programming. We wanted to explore upper elementary students’ self-efficacy for and conceptual understanding of CS as manifest in collaborative and regulated discourse during pair programming.
Background and Context
Students’ self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students’ initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning in that domain. One way to enhance interest in CS is through using collaborative pair programming.
Students’ self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students’ initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning in that domain. One way to enhance interest in CS is through using collaborative pair programming. We wanted to explore upper elementary students’ self-efficacy for and conceptual understanding of CS as manifest in collaborative and regulated discourse during pair programming.
The COVID-19 pandemic shifted many U.S. schools from in-person to remote instruction. While collaborative CS activities had become increasingly common in classrooms prior to the pandemic, the sudden shift to remote learning presented challenges for both teachers and students in implementing and supporting collaborative learning. Though some research on remote collaborative CS learning has been conducted with adult learners, less has been done with younger learners such as elementary school students.
This experience report describes lessons learned from a remote after-school camp with 24 elementary school students who participated in a series of individual and paired learning activities over three weeks. The report contributes to the understanding of remote CS learning practices, particularly for elementary school students, and we hope it will provoke methodological advancement in this important area.
The COVID-19 pandemic shifted many U.S. schools from in-person to remote instruction. While collaborative CS activities had become increasingly common in classrooms prior to the pandemic, the sudden shift to remote learning presented challenges for both teachers and students in implementing and supporting collaborative learning. Though some research on remote collaborative CS learning has been conducted with adult learners, less has been done with younger learners such as elementary school students.
This experience report describes lessons learned from a remote after-school camp with 24 elementary school students who participated in a series of individual and paired learning activities over three weeks. The report contributes to the understanding of remote CS learning practices, particularly for elementary school students, and we hope it will provoke methodological advancement in this important area.
The rapid expansion of K-12 CS education has made it critical to support CS teachers, many of whom are new to teaching CS, with the necessary resources and training to strengthen their understanding of CS concepts and how to effectively teach CS. CS teachers are often tasked with teaching different curricula using different programming languages in different grades or during different school years, and tend to receive different professional development (PD) for each curriculum they are required to teach.
This position paper advocates supporting computer science (CS) teacher professional learning by supplementing existing curriculum-specific teacher professional development (PD) with standards-aligned PD that focuses on teachers' conceptual understanding of CS standards and ability to adapt instruction based on student understanding of concepts underlying the CS standards. We share concrete examples of how to design standards-aligned educative resources and instructionally supportive tools that promote teachers' understanding of CS standards and common student challenges and develop teachers' formative assessment literacy, all essential components of CS pedagogical content knowledge.
To learn more, visit https://icer2022.acm.org/.
The CS-STEM Network offers research-based curricula created by Carnegie Mellon Robotics Academy that focus on teaching big ideas with robotics. Over 20 curriculum options provide support for LEGO, VEX, Arduino, and Virtual robot platforms in this Learning Management System.
The CS-STEM Network offers research-based curricula created by Carnegie Mellon Robotics Academy that focus on teaching big ideas with robotics. Over 20 curriculum options provide support for LEGO, VEX, Arduino, and Virtual robot platforms in this Learning Management System.