Liliana Cismariu’s research while affiliated with Polytechnic University of Timişoara and other places

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Publications (4)


Find your path: Access routes to a new job
  • Conference Paper

November 2024

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1 Read

Liliana CISMARIU

Figure 6. Confirmatory factor analysis.
Results of the Kaiser-Meyer-Olkin (KMO), Cronbach's alpha, and Bartlett tests on the two samples.
Saturations of variables in each extracted factor, obtained after rotation.
Correlations between the extracted factors.
Standard deviations (variances) for variables entered in the analyzed model.

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Engineering Students’ Human Values as Rhizomatic Lines of Sustainability
  • Article
  • Full-text available

September 2020

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499 Reads

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6 Citations

The study reports on research carried out at the five major technical higher institutions in Romania. It views the human values students bring with them to the educational setting as rhizomatic lines, in the Deleuzian sense, and aims at identifying the intensity of each value, respectively, at grasping the correlations between the students’ values and their projection concerning postgraduation life, including nomadic (i.e., migration) intentions. Such an approach is novel in educational research. The 1782 valid responses collected after applying an online questionnaire were subjected to multivariate statistical analyses. The results unfold the research stages, from intensity-identification concerning the 18 values included in the questionnaire to the factor extraction and correlation findings that highlight strata beneath the upper layer of responses. The values boil down to three nodes of the rhizome, anchoring the Romanian engineers-to-be in the present setting and allowing them to grow in a sustainable manner, i.e., to become professionals, socially accepted, and belonging to a group. The findings are useful to professors, who need to constantly check their assumptions about the profile of the young generation, to better ground their partnership relation with students in moral realities that are relevant and help learners face disruption, crisis, incertitude.

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Artificial Intelligence, between Opportunity and Challenge

December 2019

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648 Reads

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2 Citations

BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE

As part of the 4th Industrial Revolution, the emergence of Artificial Intelligence will change almost all economic activities, and it will create enormous social and economic opportunities. It will also pose major challenges, accompanied by ethical dilemmas. The present study focuses on the perceptions of current employees predominantly from the IT area, on the development of AI. The aim is to capture the attitudes they have towards the emergence and the development of AI, the impact that it might have on certain sectors of social life and people in general. We sought for the 280 online surveyed subjects to have been employed for at least 6 months, assuming that being already anchored in their professional lives might reduce their biasness. The working methodology allowed us to process and interpret data both quantitatively and qualitatively. The results of the study could be used to predict possible changes that could occur in the future as an effect of the development of Artificial Intelligence, but also to reduce the negative impact that it could have.


Artificial Intelligence, between Opportunity and Challenge

December 2019

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25 Reads

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1 Citation

BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE

p>As part of the 4th Industrial Revolution, the emergence of Artificial Intelligence will change almost all economic activities, and it will create enormous social and economic opportunities. It will also pose major challenges, accompanied by ethical dilemmas. The present study focuses on the perceptions of current employees predominantly from the IT area, on the development of AI. The aim is to capture the attitudes they have towards the emergence and the development of AI, the impact that it might have on certain sectors of social life and people in general. We sought for the 280 online surveyed subjects to have been employed for at least 6 months, assuming that being already anchored in their professional lives might reduce their biasness. The working methodology allowed us to process and interpret data both quantitatively and qualitatively. The results of the study could be used to predict possible changes that could occur in the future as an effect of the development of Artificial Intelligence, but also to reduce the negative impact that it could have.</p

Citations (2)


... Only five universities are mentioned in a UNESCO communication on Romanian educational sustainability-related programs. Not many universities include in their strategic documents sustainability goals [38], even if students' sustainable (or unsustainable) beliefs and behaviors receive attention, in the context of generational features [39,40]. Narrowing the sustainability topic to energy, it is important to note that for Romania, educational institutions, out of which 5% are universities, represent significant consumers of electricity, contributing 10% of the final amount of energy used by the public sector [22]. ...

Reference:

Electrically Savvy or Not? Tentative Portrait of the Romanian Student as a Consumer of Electric Devices and Utilities
Engineering Students’ Human Values as Rhizomatic Lines of Sustainability

... Another finding in their study was that people think that it is good that AI is not influenced by emotions, hence more trustful. This was also found by Cismariu and Gherhes (2019) and Liu and Tao (2022). Finally, Brauner et al. (2023) argued that education about AI is necessary for the general public to enable people to evaluate the benefits and barriers of AI. ...

Artificial Intelligence, between Opportunity and Challenge

BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE