scholarly journals Shared Context for Improving Collaboration in Database Administration

2013 ◽  
Vol 5 (2) ◽  
pp. 13-28 ◽  
Author(s):  
Hassane Tahir ◽  
Patrick Brézillon
2019 ◽  
Vol 51 (1) ◽  
pp. 135-146
Author(s):  
Yūji Nawata

Abstract Contemporary physics often speaks of “multiverses” or “parallel universes,” seriously debating whether our cosmic space is only one of many2. However many such spaces there may be, for now let us limit ourselves to the space in which we find ourselves; let us focus furthermore on the planet we are on, and further still on humanity upon this planet. Let us attempt to write a short history of the culture produced by humanity on this globe. We humans possessed and indeed possess a shared space, the globe, where a physical time common to us all passes. Let us survey the history of the world’s culture within this shared context.


Author(s):  
Alexandra D. Kaplan ◽  
Theresa T. Kessler ◽  
J. Christopher Brill ◽  
P. A. Hancock

Objective The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction. Background There are many factors influencing trust in robots, automation, and technology in general, and there have been several meta-analytic attempts to understand the antecedents of trust in these areas. However, no targeted meta-analysis has been performed examining the antecedents of trust in AI. Method Data from 65 articles examined the three predicted categories, as well as the subcategories of human characteristics and abilities, AI performance and attributes, and contextual tasking. Lastly, four common uses for AI (i.e., chatbots, robots, automated vehicles, and nonembodied, plain algorithms) were examined as further potential moderating factors. Results Results showed that all of the examined categories were significant predictors of trust in AI as well as many individual antecedents such as AI reliability and anthropomorphism, among many others. Conclusion Overall, the results of this meta-analysis determined several factors that influence trust, including some that have no bearing on AI performance. Additionally, we highlight the areas where there is currently no empirical research. Application Findings from this analysis will allow designers to build systems that elicit higher or lower levels of trust, as they require.


Author(s):  
Robert E. Walters ◽  
Grant Fritchey ◽  
Carmen Taglienti

2021 ◽  
Author(s):  
Theodore Sumers ◽  
Mark K Ho ◽  
Robert Hawkins ◽  
Tom Griffiths

People use a wide range of communicative acts, from concrete demonstrations to abstract language. What are the strengths and weaknesses of such different modalities? We present a series of real-time, multi-player experiments asking participants to teach (Boolean) concepts using either demonstrations or language. Our first experiment (N = 454) manipulated the complexity of the concept, finding that linguistic (but not demonstrative) teaching enables high-fidelity transmission of more complex concepts. Why, then, do humans use both demonstrations and language? As a form of conventionalized communication, language relies on shared context between speaker and listener, whereas demonstrations are inherently grounded in the world. We hypothesized linguistic communication would be more sensitive to perturbations of shared context than demonstrations. Our second experiment (N = 568) manipulated teachers’ ability to see the features that defined the concept. This restriction severely impaired linguistic (but not demonstrative) teaching. Our comparative approach confirms language relies on shared context to permit high bandwidth communication; in contrast, demonstrations are lower-bandwidth but more robust.


Author(s):  
Made Delina Rusnawati . ◽  
I Gede Partha Sindu, S.Pd., M.Pd. . ◽  
Nyoman Sugihartini, S.Pd., M.Pd. .

Abstrak— Penelitian ini bertujuan untuk mengetahui (1) hasil belajar yang lebih tinggi antara siswa yang belajar menggunakan e-modul berbasis project based learning dengan siswa yang belajar tanpa menggunakan e-modul berbasis project based learning pada mata pelajaran Administrasi Basis Data kelas XII RPL SMK Negeri 1 Negara (2) Motivasi siswa kelas XII RPL di SMK Negeri 1 Negara setelah menggunakan e-modul berbasis project based learning pada mata pelajaran Administrasi Basis Data (3) Respon siswa kelas XII RPL di SMK Negeri 1 Negara setelah menggunakan e-modul berbasis project based learning pada mata pelajaran Administrasi Basis Data. Jenis penelitian ini adalah eksperimen semu (quasi eksperimen) dengan desain Post Test Only Control Group Design. Populasi penelitian mencakup seluruh siswa kelas XII RPL SMK Negeri 1 Negara Tahun Pelajaran 2017/2018. Sampel yang digunakan yaitu kelas XII RPL 2 yang digunakan sebagai kelas ekperimen dan XII RPL 3 yang digunakan sebagai kelas kontrol dengan jumlah 92 orang. Metode pengumpulan data yang digunakan yaitu metode tes uraian untuk mengukur hasil belajar dan metode angket untuk menganalisis motivasi belajar siswa dan respon siswa. Data hasil belajar kemudian dianalisis dengan melakukan uji prasyarat yang meliputi uji normalitas, uji homogenitas dan uji- t. Hasil penelitian menunjukkan bahwa (1) Terdapat hasil belajar yang lebih tinggi dalam penerapan e-modul berbasis Project Based Learning pada mata pelajaran administrasi basis data kelas XII RPL di SMK Negeri 1 Negara. Hasil analisis uji-t memperoleh thitung = 7.7497 dan ttabel = 1.66196 untuk dk sebesar 90 dengan taraf signifikan 5%. Berdasarkan kreteria pengujian diperoleh thitung > ttebel, ini berarti H0 ditolak. (2) Motivasi belajar siswa yang menggunakan e-modul dikatakan tinggi dilihat dari rata-rata motivasi belajar kelas eksperimen yaitu sebesar 98.30. (3) Respon siswa dari penerapan e-modul berbasis project based learning pada mata pelajaran Administrasi basis data adalah positif dilihat rata – rata skor hasil angket respon siswa yaitu 58.47. Kata Kunci : Quasi Eksperimen, E-Modul, Administrasi Basis Data, Project Based Learning Abstract- This objectives of this research are to know: (1) higher learning outcomes between students who learn to use project based learning e-modules with students who learn without using e-module based project based learning on subjects Database Administration class XII RPL SMK 1 Negara (2) students’ motivation in XII RPL class at SMK Negeri 1 Negara after using e-module based on project based learning on Database Administration course (3) students’ response after using e-module based on project based learning in Database Administration course of XII RPL class at SMK Negeri 1 Negara. This research was quasi experiment research with Post Test Only Control Group design. Research’s population covered all XII RPL classes at SMK N 1 Negara in the academic year 2017/2018. The samples of this research were XII RPL 2 class as the experimental class and XII RPL 3 as the control class with total of 92 students. The data was obtained trough essay test to measure students’ achievement and questionnaire method which was used to analyze students’ motivation and students’ response. The data, then, was analyzed through prerequisite test which included normality test, homogeneity test, and t-test. The results showed that (1) There is higher learning outcomes in the implementation of e-module based on Project Based Learning in the subjects of class XII database administration RPL in SMK Negeri 1 Negara. The result of t-test analysis obtained tcount = 7.7497 and ttable = 1.66196 for dk equal to 90 with 5% significant level. Based on test criteria obtained tcount > ttebel, this means H0 rejected. (2) Students’ motivation that used e-module was considerably high based on students’ learning motivation mean value of 98.30 (experiment). (3) Students’ response toward the application of project based learning e-modul on the Database Administration subject are positive that can be noticed from the average score of students' responses through questionnaire which is 59.47. keyword : Quasi Experiments, E-Modules, Database Administration, Project Based Learning.


Sign in / Sign up

Export Citation Format

Share Document