Digital creativity: Research themes and framework

Creativity and digital technologies are considered to be central for success and development in the current society, becoming crucial educational objectives worldwide. Nevertheless, education often fails to keep pace with creative and digital economies; this is mainly because teachers are not prepared for adopting pedagogical strategies that foster creativity or for fully exploiting the educational potential of digital technologies. Based on the seminal theories of creativity, we propose an innovative framework for applying creative teaching practices mediated by digital technologies: in the light of constructivist and constructionist approaches, we suggest a series of digital tools which are particularly suitable to the emergence of creativity, i.e. manipulative technologies, educational robotics and game design and coding. Furthermore, we shape the concept of digital creative pedagogies (DCP) and establish a set of characteristic components of teaching practices which contribute to the development of students' creativity. Drawing on a substantial body of research, the chapter intends to embed educational creativity in the digital culture.

show abstract

“…Technological devices have entered all aspects of our everyday life [33]. In this digital society, the concept of creativity is being rethought.…”

Section: Digital Creativity In Education: a Proposal Frameworkmentioning

confidence: 99%

Strategies for Digital Creative Pedagogies in Today’s Education

Barajas¹,

Frossard²,

Trifonova³

2019

Active Learning - Beyond the Future

View full text Add to dashboard Cite

show abstract

“…On the other hand, it is also important to not remain on lower levels, as this may hinder the development of creative competencies requiring open-ended and ill-defined learning activities. Therefore, the “Use-Modify-Create" cycle (Lee & Chen, 2015 ; Lytle, 2019 ) commonly used for the progression of learning computing concepts and practices, can also be adopted for ML education. Following this cycle, students ease into ML topics by first “using" and analyzing a given ML artifact, then “remixing/modifying" an existing one, until eventually “creating" new ones.…”

Section: Machine Learning Education In K-12mentioning

confidence: 99%

Visual tools for teaching machine learning in K-12: A ten-year systematic mapping

et al. 2021

View full text Add to dashboard Cite

Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machine Learning in order to become creators of smart solutions. Following the trend of visual languages for introducing algorithms and programming in K-12, we present a ten-year systematic mapping of emerging visual tools that support the teaching of Machine Learning at this educational stage and analyze the tools concerning their educational characteristics, support for the development of ML models as well as their deployment and how the tools have been developed and evaluated. As a result, we encountered 16 tools targeting students mostly as part of short duration extracurricular activities. Tools mainly support the interactive development of ML models for image recognition tasks using supervised learning covering basic steps of the ML process. Being integrated into popular block-based programming languages (primarily Scratch and App Inventor), they also support the deployment of the created ML models as part of games or mobile applications. Findings indicate that the tools can effectively leverage students’ understanding of Machine Learning, however, further studies regarding the design of the tools concerning educational aspects are required to better guide their effective adoption in schools and their enhancement to support the learning process more comprehensively.

show abstract

“…Several field studies have been realized in order to understand the role played by the digital design environment in the cognitive design process and design thinking (Lee et al 2018;Lostritto 2016;Hoffmann et al 2016;Gibson 2007;Kurtoglu et al 2009). In a perspective of digital environment, creativity has started to take a new shape: digital creativity, defined as "the creativity manifested in all forms that are driven by digital technology" (Lee and Chen 2015). As Lee and Chen state (ibid.…”

Section: Human Transformation: a Punishment Or A Rescue?mentioning

confidence: 99%

Material Balance

2021

SpringerBriefs in Applied Sciences and Technology

View full text Add to dashboard Cite

show abstract

Digital creativity: Research themes and framework

Cited by 51 publications

References 41 publications

Strategies for Digital Creative Pedagogies in Today’s Education

Strategies for Digital Creative Pedagogies in Today’s Education

Visual tools for teaching machine learning in K-12: A ten-year systematic mapping

Material Balance

Contact Info

Product

Resources

About