scholarly journals Efektifitas Model Pembelajaran Inkuiri Terbimbing untuk Meningkatkan Kemampuan Berpikir Kritis Mahasiswa

Author(s):  
Isnanik Juni Fitriyah ◽  
Yessi Affriyenni ◽  
Erti Hamimi
Keyword(s):  

Penelitian ini memiliki tujuan untuk mengetahui keefektifan model pembelajaran inkuiri terbimbing dalam meningkatkan keterampilan berpikir kritis pada mahasiswa. Dengan menggunakan jenis penelitian studi literasi, pengumpulan artikel yang dilakukan dengan bantuan mesin pencari Harzing’s Publish Or Perish dengan kriteria yang digunakan yaitu artikel diterbitkan pada tahuan 2010-2020 namun diutamakan pada artikel yang diterbitkan pada 2015-2020. Hasil studi literasi yang telah dilakukan diperoleh bahwa keterampilan berpikir kritis yang dimiliki mahasiswa masih rendah sehingga diperlukan pengembangan keterampilan berpikir kritis. Padahal keterampilan berpikir kritis seharusnya dimiliki oleh masing-masing mahasiwa karena menjadi salah satu standart kelulusan perguruan tinggi. Salah satu cara untuk meningkatkan keterampilan berpikir kritis yaitu dengan pemilihan model pembelajaran yang tepat. Model pembelajaran inkuiri terbimbing menjadi salah satu model pembelajaran yang efektif dalam meningkatkan keterampilan berpikir kritis termasuk dalam meningkat keterampilan berpikir kritis pada mahasiswa. Hal ini dikarenakan sesuai dengan metode pengembangan keterampilan berpikir kritis mahasiswa yaitu dengan merumuskan pertanyaan atau permasalahan.

2014 ◽  
pp. 9-25 ◽  
Author(s):  
Gloria Origgi ◽  
Giovanni B. Ramello ◽  
Francesco Silva
Keyword(s):  

MedienJournal ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 62-72
Author(s):  
Robert M. Bichler
Keyword(s):  

2021 ◽  
Author(s):  
Andi Asrifan ◽  
Abd Ghofur

Anyone who wants to get ahead in academic or professional life today knows that it’s a question of publish or perish. This applies to colleges, universities, and even hospital Trusts. Yet writing for publication is one of the many skills which isn’t formally taught. Once beyond undergraduate level, it’s normally assumed that you will pick up the necessary skills as you go along.Writing for Academic Journalsseeks to rectify this omission. Rowena Murray is an experienced writer on the subject (author of How to Write a Thesis and How to Survive Your Viva) and she is well aware of the time pressures people are under in their professional lives. What she has to say should be encouraging for those people in ‘new’ universities, people working in disciplines which have only recently been considered academic, and those in professions such as the health service which are under pressure to become more academic.


1993 ◽  
Vol 7 (15) ◽  
pp. 1423-1423 ◽  
Author(s):  
William J Whelan
Keyword(s):  

2011 ◽  
Vol 37 (4) ◽  
pp. 244-257 ◽  
Author(s):  
Jonathan D. Linton ◽  
Robert Tierney ◽  
Steven T. Walsh
Keyword(s):  

2021 ◽  
Author(s):  
Arthur Lackner ◽  
Said Fathalla ◽  
Mojtaba Nayyeri ◽  
Andreas Behrend ◽  
Rainer Manthey ◽  
...  

AbstractThe publish or perish culture of scholarly communication results in quality and relevance to be are subordinate to quantity. Scientific events such as conferences play an important role in scholarly communication and knowledge exchange. Researchers in many fields, such as computer science, often need to search for events to publish their research results, establish connections for collaborations with other researchers and stay up to date with recent works. Researchers need to have a meta-research understanding of the quality of scientific events to publish in high-quality venues. However, there are many diverse and complex criteria to be explored for the evaluation of events. Thus, finding events with quality-related criteria becomes a time-consuming task for researchers and often results in an experience-based subjective evaluation. OpenResearch.org is a crowd-sourcing platform that provides features to explore previous and upcoming events of computer science, based on a knowledge graph. In this paper, we devise an ontology representing scientific events metadata. Furthermore, we introduce an analytical study of the evolution of Computer Science events leveraging the OpenResearch.org knowledge graph. We identify common characteristics of these events, formalize them, and combine them as a group of metrics. These metrics can be used by potential authors to identify high-quality events. On top of the improved ontology, we analyzed the metadata of renowned conferences in various computer science communities, such as VLDB, ISWC, ESWC, WIMS, and SEMANTiCS, in order to inspect their potential as event metrics.


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