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2020 ◽  
Author(s):  
Rully Aprilia Zandra

University students are heavy users of both the internet and android smartphones. This study suggests that android devices could also be used in education, as a tool to deliver learning or supervise learning. Currently, learning supervision is limited to escorting values that are uploaded daily. The purpose of developing a new android application is to optimize students’ academic achievement. The device focuses on recording the scores of quizzes, examinations, and assignments given by the piano lecturer and chair of the work group on the piano class. This study used a modified Research and Development method from Borg & Gall with 10 steps. The steps followed were: research and information collecting; planning; developing a preliminary form of product; preliminary field testing; main product revision; main field testing; operational product revision; operational field testing; final product revision; dissemination and implementation. The first scores were 65.25% from the IT validator, 70.50% from the media validator, and 75.25% from the material validator. The mean values in the small group trials were 70.50 and 78.25 in the large group trials. The final scores from validation were 92.50% form the IT validation, 77.25% from the media validator, and 84.75% from the material validator. There are three applications that must be developed based on the results of this research. These three applications are: main teacher applications; peer tutoring applications; and student applications. Each application must be connected and updated in real-time. Keywords: android application, online supervision, learning supervision, academic scores, student strategies


2019 ◽  
Vol 13 (4) ◽  
pp. 470-487 ◽  
Author(s):  
Josje Kok ◽  
Ian Leistikow ◽  
Roland Bal

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 568-573
Author(s):  
Jianhou Gan ◽  
Peng Huang ◽  
Juxiang Zhou ◽  
Bin Wen

Abstract Binary entity relationship tuples can be applied in many fields such as knowledge base construction, data mining, pattern extraction, and so on. The purpose of entity relationship mining is discovering and identifying the semantic relationship. As the relationship between entities are different from the general domain, using supervise learning methods to extract entity relationships in the field of ethnicity is difficult. After research, we find that some words can be used in the context of a sentence to describe the semantic relationship. In order to salve the existing difficulties of building tagged corpus and the predefined entities-relationships model, this paper proposes a method of density-based multi-clustering clustering of semantic similarity (DBMCSS) to mine the binary entity relationship tuples from the Chinese national information corpus, which can extract entity relationships without a training corpus.


IJARCCE ◽  
2014 ◽  
pp. 8510-8512
Author(s):  
SHOBHA S. RASKAR ◽  
SALMA H. PATHAN

2013 ◽  
Vol 9 (2) ◽  
pp. 196-203
Author(s):  
Indah Kumalasari ◽  
◽  
Yati Sri Hayati ◽  
Nurona Azizah ◽  
Alfrina Hany

As a result of the COVID-19 pandemic, learning activities are now conducted at various levels using online methods, giving students more freedom to organize their learning activities. For this reason, students must be disciplined to complete their learning activities. One of the factors that play an important role in student learning discipline is seIf-efficacy. The purpose of this study was to determine the relationship between self-efficacy and teenagers' learning discipline during the COVlD-19 pandemic. This research design used correlational descriptive with the cross-sectional approach. The research sample amounted to 254 respondents who were taken with stratified random sampling technique. Data were collected through questionnaires to measure teenagers’ self-efficacy and learning discipline during the COVID-19 pandemic. Data were analyzed using the Spearman rank test. The results showed that self-efficacy of teenagers was in the high category as much as 81.5%, and learning discipline during the COVID-19 pandemic was in a good category as much as 42.9%. The findings showed that the significance value was 0.000 (α = 0.05) and the correlation coefficient was 0.309. So we can conclude that there is a significant relationship between teenagers' seIf-efficacy and Learning discipline during the COVlD-19 pandemic. It is expected that nurses and teachers will counsel students and supervise learning activities to ensure that students maintain their learning discipline.


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