Materials 4.0: Materials big data enabled materials discovery

Jose, Rajan; Ramakrishna, Seeram

doi:10.1016/j.apmt.2017.12.015

Cited by 146 publications

(81 citation statements)

References 27 publications

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“…The meaning of that is that the self always contains ideas, perceptions and values that include awareness about oneself. This is in line with the principle of competency quality needs in the era of industrial revolution 4.0 (Jose and Ramakrishna, 2018;Mahmood and Hussin, 2018;Ślusarczyk, 2018). The self-concept which in this study has components in the form of identity self, behavioural self, and judging self, is the most important aspect in the development of students.…”

Section: Self-concept As the Mainsupporting

confidence: 75%

“…Literally, in the era of IR 4.0, the world of work demands work because of the need for activities, freedom, power, social recognition and pleasure (Jose and Ramakrishna, 2018;Santos et al, 2018;Ślusarczyk, 2018;Zabidin, Belayutham and Ibrahim, 2019). Therefore, graduates of vocational students must be able to be smart in reading opportunities and targets in the future.…”

Section: Acceleration Of Graduationmentioning

confidence: 99%

“…In IR 4.0 the emergence of supercomputers, smart robots, vehicles without drivers, genetic editing and the development of neurotechnology that allows humans to further optimize brain function to develop rapidly (Jose and Ramakrishna, 2018;Mahmood and Hussin, 2018;Zaharah et al, 2018;Philbeck and Davis, 2019). In fact, the development of the education curriculum in higher education is not as fast as that acceleration.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Self Concept and Graduation Capability in the Era of Industrial Revolution 4.0 to Increase Absorption of Vocational Student Graduates

Mukhadis¹,

Putra²,

Irdianto³

et al. 2019

Proceedings of the 1st Vocational Education International Conference (VEIC 2019)

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This study aims to: (1) map self-concept needs in the era of IR 4.0; (2) mapping the graduation capability needs in the era of IR 4.0; and (3) mapping the efforts of universities to increase the absorption of graduates of vocational students. The method used is a qualitative method. Data collection techniques with interviews, documentation, literature review, and observation. The research subjects included lecturers, students, and stakeholders. Data analysis techniques through data reduction, data interpretation and triangulation. Conclusions from this study indicate that: (1) the need for self-concept in the era of IR 4.0 in vocational students includes internal dimensions (the identity self, the behavioural self, the judging self), and external dimensions (physical self, moral ethical self, personal self, family self, social self); (2) the need for graduation capability in the era of IR 4.0 in vocational students includes speed in taking effective and appropriate actions, the ability to map the vision and mission of life, the ability to cooperate with everyone, being able to adapt to all conditions of the work environment; and (3) higher education efforts in the field of vocational education to increase the absorption of graduates of vocational fields including the application of the synchronized curriculum of DU / DI needs, expansion of the number and quality of vocational education institutions, cooperation with graduate users, development of tracer studies, and student entrepreneurship improvement.

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Section: Self-concept As the Mainsupporting

confidence: 75%

Section: Acceleration Of Graduationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Self Concept and Graduation Capability in the Era of Industrial Revolution 4.0 to Increase Absorption of Vocational Student Graduates

Mukhadis¹,

Putra²,

Irdianto³

et al. 2019

Proceedings of the 1st Vocational Education International Conference (VEIC 2019)

View full text Add to dashboard Cite

show abstract

“…Hence, there is an urgent need to develop a new paradigm with both time‐ and performance‐efficiency for nanomaterials science. With the launch of materials genome initiative (MGI) in 2011, Materials 4.0 is emerging . More and more nanomaterial‐related databases are available, such as Nanoparticle Information Library (NIL), Nano‐HUB database, and Investigation Study Assay tab‐delimited format (ISA‐TAB‐Nano) .…”

Section: Introductionmentioning

confidence: 99%

“…With the launch of materials genome initiative (MGI) in 2011, Materials 4.0 is emerging. [18] More and more nanomaterial-related databases are available, such as Nanoparticle Information Library (NIL), Nano-HUB database, and Investigation Study Assay tab-delimited format (ISA-TAB-Nano). [19] Moreover, with the improvement of computational capabilities and algorithms, machine learning is paving a promi sing path to accelerating nanomaterials discovery, design microscopic) and discovering new nanomaterials, which include the typical quantitative structure property relationship (QSPR), quantitative structure activity relationship (QSAR), composition and configuration of chemical space ( Table 1).…”

Section: Introductionmentioning

confidence: 99%