Enabling mobile access to Remote Laboratories

Author(s):  
Pablo Orduna ◽  
Javier Garcia-Zubia ◽  
Jaime Irurzun ◽  
Diego Lopez-de-Ipina ◽  
Luis Rodriguez-Gil
2019 ◽  
Vol 4 (3) ◽  
pp. 335
Author(s):  
Eva Veronica ◽  
Mursalim Mursalim

The objective of this study is to find out the effect of using mobile access (Audio Visual Easy Learn English) on students’ vocabulary achievement at SMPN 11 Kendari. Mobile  Access  (Audio  visual  easy  learn  English)  as  a media in learning teaching process. This research used quasi experimental design, the population is all seventh- grade students, and the sample is class VII1 as the experimental group and VII2as control group. The experimental group consisted of 30 students and control group consisted of 21 students. The research instrument consisted of 44 questions of vocabulary test. To collect the data, the researcher gave pre-test, taught by using Mobile Access  (Audio  Visual  Easy  Learn  English),  and  giving post-test. Mean score of post-tests (79.63) in experimental class is higher than pre-test score (59.66). While, in control class also has improvement but not too significant. It can be seen on post-test score (64.80) is higher than pre-test score (55.19). Based on the calculation of T-test, it shows that tcount = 3.775, while t-table =2.010 at level of = 0.05 with DF = 49. It means that tcount is higher than table, Therefore H0 was rejected and H1 was accepted. This can be concluded that  there  was a  significant  effect  of  using a significant effect using Mobile Access (Audio Visual Easy Learn English) on students’ vocabulary achievement at the seventh-grade students of SMPN 11 Kendari. Keywords: MA, Mobile Access, Audio Visual Easy Learn English, vocabulary achievement


2021 ◽  
Vol 16 (1) ◽  
pp. 11-20
Author(s):  
Juan Valdiviezo Espinoza ◽  
William Ipanaque Alama ◽  
Juan Soto Bohorquez ◽  
Ivan Belupu Amaya

2021 ◽  
Vol 2 (2) ◽  
pp. 1-13
Author(s):  
Seid Miad Zandavi ◽  
Vera Chung ◽  
Ali Anaissi

The scheduling of multi-user remote laboratories is modeled as a multimodal function for the proposed optimization algorithm. The hybrid optimization algorithm, hybridization of the Nelder-Mead Simplex algorithm, and Non-dominated Sorting Genetic Algorithm (NSGA), named Simplex Non-dominated Sorting Genetic Algorithm (SNSGA), is proposed to optimize the timetable problem for the remote laboratories to coordinate shared access. The proposed algorithm utilizes the Simplex algorithm in terms of exploration and NSGA for sorting local optimum points with consideration of potential areas. SNSGA is applied to difficult nonlinear continuous multimodal functions, and its performance is compared with hybrid Simplex Particle Swarm Optimization, Simplex Genetic Algorithm, and other heuristic algorithms. The results show that SNSGA has a competitive performance to address timetable problems.


2015 ◽  
Vol 11 (2) ◽  
pp. 49 ◽  
Author(s):  
Susana Romero ◽  
Mariluz Guenaga ◽  
Javier García-Zubia ◽  
Pablo Orduña

2016 ◽  
Vol 49 (2) ◽  
pp. 113-151 ◽  
Author(s):  
Lukasz Grzybowski ◽  
Frank Verboven
Keyword(s):  

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