Mobile access and working towers made of prefabricated elements

2021 ◽  
Keyword(s):  
Mobile Access

THE EFFECT OF MOBILE ACCESS (AUDIO VISUAL EASY LEARN ENGLISH) ON STUDENTS’ VOCABULARY ACHIEVEMENT AT SMPN 11 KENDARI

2019 ◽  
Vol 4 (3) ◽  
pp. 335
Author(s):  
Eva Veronica ◽  
Mursalim Mursalim
Keyword(s):  
Test Score ◽  
Control Group ◽  
Vocabulary Test ◽  
Seventh Grade ◽  
Mobile Access ◽  
Post Test ◽  
Quasi Experimental ◽  
And Control ◽  
Experimental Group ◽  
Vocabulary Achievement

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

scholarly journals Substitution between fixed-line and mobile access: the role of complementarities

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

scholarly journals Using Facebook Ad Data to Track the Global Digital Gender Gap

2018 ◽  
Author(s):  
Masoomali Fatehkia ◽  
Ridhi Kashyap ◽  
Ingmar Weber
Keyword(s):  
Mobile Phone ◽  
Gender Gap ◽  
Low Income ◽  
Low Income Countries ◽  
Gender Gaps ◽  
Mobile Access ◽  
Country Level ◽  
Highly Correlated ◽  
And Gender ◽  
Official Data

Gender equality in access to the internet and mobile phones has become increasingly recognised as a development goal. Monitoring progress towards this goal however is challenging due to the limited availability of gender-disaggregated data, particularly in low-income countries. In this data sparse context, we examine the potential of a source of digital trace `big data' -- Facebook's advertisement audience estimates -- that provides aggregate data on Facebook users by demographic characteristics covering the platform's over 2 billion users to measure and `nowcast' digital gender gaps. We generate a unique country-level dataset combining `online' indicators of Facebook users by gender, age and device type, `offline' indicators related to a country's overall development and gender gaps, and official data on gender gaps in internet and mobile access where available. Using this dataset, we predict internet and mobile phone gender gaps from official data using online indicators, as well as online and offline indicators. We find that the online Facebook gender gap indicators are highly correlated with official statistics on internet and mobile phone gender gaps. For internet gender gaps, models using Facebook data do better than those using offline indicators alone. Models combining online and offline variables however have the highest predictive power. Our approach demonstrates the feasibility of using Facebook data for real-time tracking of digital gender gaps. It enables us to improve geographical coverage for an important development indicator, with the biggest gains made for low-income countries for which existing data are most limited.

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