Machine Learning Introduces New Perspectives to Data Agency in K—12 Computing Education

2020 ◽  
Author(s):  
Matti Tedre ◽  
Henriikka Vartiainen ◽  
Juho Kahila ◽  
Tapani Toivonen ◽  
Ilkka Jormanainen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computing Education ◽  
K 12

scholarly journals Teaching Machine Learning in K–12 Computing Education: Potential and Pitfalls

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Matti Tedre ◽  
Tapani Toivonen ◽  
Henriikka Vartiainen ◽  
Ilkka Jormanainen ◽  
Teemu Valtonen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Teaching Machine ◽  
Computing Education ◽  
K 12

scholarly journals Machine Learning for All – Introducing Machine Learning in K-12

2020 ◽  
Author(s):  
Christiane Gresse von Wangenheim ◽  
Lívia S. Marques ◽  
Jean C. R. Hauck
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Brazilian Portuguese ◽  
Computing Education ◽  
Ethical Concerns ◽  
Introductory Course ◽  
New Challenges ◽  
K 12 ◽  
Science Classes

Although Machine Learning (ML) is integrated today into various aspects of our lives, few understand the technology behind it. This presents new challenges to extend computing education early on including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an introductory course to teach basic ML concepts, such as fundamentals of neural networks, learning as well as limitations and ethical concerns in alignment with the K-12 Guidelines for Artificial Intelligence. It also teaches the application of these concepts, by guiding the students to develop a first image recognition model of recycling trash using Google Teachable Machine. In order to promote ML education, the interactive course is available online in Brazilian Portuguese to be used as an extracurricular course or in an interdisciplinary way as part of science classes covering recycling topics.

scholarly journals A Revaluation of Computational Thinking in K–12 Education: Moving Toward Computational Literacies

2021 ◽  
pp. 0013189X2110579
Author(s):  
Yasmin B. Kafai ◽  
Chris Proctor
Keyword(s):  
21St Century ◽  
Computational Thinking ◽  
Creative Expression ◽  
Career Readiness ◽  
College And Career Readiness ◽  
Computing Education ◽  
The Past ◽  
College And Career ◽  
The World ◽  
K 12

Over the past decade, initiatives around the world have introduced computing into K–12 education under the umbrella of computational thinking. While initial implementations focused on skills and knowledge for college and career readiness, more recent framings include situated computational thinking (identity, participation, creative expression) and critical computational thinking (political and ethical impacts of computing, justice). This expansion reflects a revaluation of what it means for learners to be computationally-literate in the 21st century. We review the current landscape of K–12 computing education, discuss interactions between different framings of computational thinking, and consider how an encompassing framework of computational literacies clarifies the importance of computing for broader K–12 educational priorities as well as key unresolved issues.

bASES21: A Model for the Self-assessment of 21st-Century Skills in the Context of Computing Education in K-12

2021 ◽  
pp. 366-391
Author(s):  
Christiane Gresse von Wangenheim ◽  
Leonardo P. Degering ◽  
Fernanda Mioto ◽  
Lúcia H. Martins-Pacheco ◽  
Adriano F. Borgatto ◽  
...  
Keyword(s):  
21St Century ◽  
21St Century Skills ◽  
The Self ◽  
Self Assessment ◽  
Computing Education ◽  
K 12

scholarly journals Motivating Teachers to Teach Computing in Middle School – A Case Study of a Physical Computing Taster Workshop for K-12 Teachers

2017 ◽  
Vol 1 (4) ◽  
pp. 35-49 ◽  
Author(s):  
Aldo Von Wangenheim ◽  
Christiane Gresse von Wangenheim ◽  
Fernando S. Pacheco ◽  
Jean C. R. Hauck ◽  
Miriam Nathalie F. Ferreira
Keyword(s):  
Middle School ◽  
Computational Thinking ◽  
Outreach Program ◽  
School Teachers ◽  
Physical Computing ◽  
Computing Education ◽  
Pedagogical Content ◽  
Technical Issues ◽  
K 12 ◽  
Ongoing Support

Computing education in schools faces several problems, such as a lack of computing teachers and time in an already overloaded curriculum. A solution can be a multidisciplinary approach, integrating the teaching of computing within other subjects, creating the need to motivate teachers from other disciplines to teach computing in middle school. Therefore, the motivation and training of in-service teachers becomes crucial, as they need to have computing content and technological knowledge as well as pedagogical content knowledge. Yet, so far there exist very few training programs. Thus, as part of a comprehensive outreach program, we present a study on a one-day taster workshop for middle school teachers on physical computing education. Participants learn computer programming practice and computational thinking by programming an interactive robot. The workshop also approaches pedagogical aspects for teaching computing and technical issues regarding the installation and preparation of the required hardware/software. Preliminary results of its application with public school teachers in Florianopolis/Brazil are positive, motivating the majority of participants to introduce computing into their classes. However, our results also highlight that in order to enable teacher to apply the workshops effectively, longer training courses and ongoing support is required.

scholarly journals Computational apprenticeship: Cognitive apprenticeship for the digital era

2019 ◽  
Author(s):  
Hayden Fennell ◽  
Joseph A. Lyon ◽  
Aasakiran Madamanchi ◽  
Alejandra J. Magana
Keyword(s):  
Education Research ◽  
Computational Thinking ◽  
Cognitive Apprenticeship ◽  
Learning Theories ◽  
Adaptive Expertise ◽  
Practice Model ◽  
Computing Education ◽  
Digital Era ◽  
K 12 ◽  
Programming Courses

The conceptualization of Computational Thinking as a cross-cutting skill with relevance across disciplines has ushered in wide-ranging efforts to increase computational education in all facets of education. However, the majority of initiatives for integrated computing education have focused on K-12 settings, as has most education research around computational thinking. At the postsecondary level, computing education remains largely siloed within specific programming courses and has not been well-integrated throughout the STEM curriculum. Current instructional approaches often leave students poorly prepared to transfer their computing knowledge to solve new real-world problems. Additionally, there is limited education research into how best to develop computational thinking among postsecondary students. In fact, education research into computational thinking remains undertheorized and is often definitional in nature. Here, we integrate computational thinking with the educational psychology concept of adaptive expertise. Finally, we contextualize computational thinking within constructivist learning theories by introducing computational apprenticeship, an application of cognitive apprenticeship to computing. Computational apprenticeship provides a research and practice model for supporting the development of computational adaptive expertise.

An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features

2017 ◽  
Vol 13 (8) ◽  
pp. 1584-1596 ◽  
Author(s):  
Sutanu Nandi ◽  
Abhishek Subramanian ◽  
Ram Rup Sarkar
Keyword(s):  
Machine Learning ◽  
Escherichia Coli ◽  
Learning Process ◽  
Learning Strategy ◽  
Essential Genes ◽  
Gene Essentiality ◽  
K 12

We propose an integrated machine learning process to predict gene essentiality in Escherichia coli K-12 MG1655 metabolism that outperforms known methods.

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