Robotics in Primary and Secondary Education - The Lego Mindstorms EV3 implementation

Samara, Elpida; Angelidis, Pantelis; Kotsiari, Aspasia; Kilintzis, Pavlos; Avlogiaris, Giorgos

doi:10.1109/seeda-cecnsm53056.2021.9566240

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…While digital technologies play a crucial role in fostering innovation, not all individuals possess the requisite knowledge and abilities to effectively utilize them. A crucial aspect of digital transformation is the acquisition of fresh competencies and skills by the workforce, the cultivation of new capabilities within enterprises (Kilintzis et al, 2020), and the fostering of new attitudes and know-how among the general populace (Samara et al, 2021). The above should be supported by changes in the organizational and institutional support infrastructure of RISs.…”

Section: Presentation Of the Ris Modelmentioning

confidence: 99%

“…Also, MacKinnon et al (2002) argue that the focus on learning and innovation has drawn attention to numerous important aspects of the regional development process. These concern the mechanisms of knowledge and information production within regions, the concept of innovation as an interactive process, which leads to new questions about the learning capacity of disadvantaged regions, and the evolutionary emphasis on divergent paths of economic development (Samara et al, 2021).…”

Section: The Subsystem Of Knowledge Production and Dissemination (Uni...mentioning

confidence: 99%

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A system dynamics approach for the development of a Regional Innovation System

Samara,

Kilintzis,

Katsoras

et al. 2024

J Innov Entrep

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Regions play an important role in the global economy by driving research and innovation policies through a major tool, the Regional Innovation System (RIS). The RIS is a social system that encompasses the systematic interaction of the various organizations that comprise it, to improve local knowledge and innovation. It consists of interconnections of various public and private sector institutions, whose activities and interactions create, introduce and diffuse innovations. This paper outlines the methodology employed in developing and validating a mathematical model of Regional Innovation Systems, utilizing the system dynamics approach. To provide a demonstration of the aforementioned concept, the proposed model will then be implemented in the RIS of two specific regions in Greece, namely Western and Central Macedonia. Within this context, various policies will be formulated to modify the indicators of Smart Technology, with the objective of assessing their influence on the overall regional development of the aforementioned regions. The model focuses on the functional structure of the RIS, separating it in six diverse, interacting subsystems consisting of different components, captured by a total of 38 different factors which can be quantitatively assessed.

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Section: Presentation Of the Ris Modelmentioning

confidence: 99%

Section: The Subsystem Of Knowledge Production and Dissemination (Uni...mentioning

confidence: 99%

A system dynamics approach for the development of a Regional Innovation System

Samara,

Kilintzis,

Katsoras

et al. 2024

J Innov Entrep

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“…To improve the model's relevance and prediction ability, realtime data and more dynamic policy variables should be added. A deeper understanding of the strategic planning of regional innovation systems may be gained by examining the long-term effects of smart technologies on district socioeconomic variables and higheffect indicators, including advanced business models [46,47], innovative entrepreneurship types [48], smart education [49], and public welfare within the framework of the Regional Innovation Systems.…”

Section: Conclusion Limitations and Future Researchmentioning

confidence: 99%

A Dynamic Analysis to Examine Regional Development in the Context of a Digitally Enabled Regional Innovation System: The Case of Western and Central Macedonia (Greece)

Samara,

Kilintzis,

Katsoras

et al. 2024

Systems

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The significance of Regional Innovation Systems (RIS) as a strategic tool for enhancing a region’s competitiveness has been increasingly recognized. This paper presents a model of RIS that was developed using the system dynamics (SD) methodology. The goal of this model is to amalgamate the systemic approach with computer modeling and simulation disciplines into a comprehensive dynamic framework for analyzing RIS. Within this framework, the paper explores the impact of smart technologies on regional development through the RIS. Specifically, the SD model serves as an ‘experimental tool’ for conducting extensive what-if scenario analyses concerning smart technologies. The efficacy of these technologies is examined in terms of their dynamic influence on regional development, with insights derived from simulation outcomes. Data from two Greek regions provides a strategic analysis over a designated time horizon.

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