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Spitzer, Manfred

doi:10.1055/a-1948-8785

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Indicators make it easy to calculate points if you take the lower serve test 5 times, the results obtained in general students strongly agree with making it easier to calculate points, because it does not have to involve many people and the score recording results appear after the lower serve is performed. Indicators of learning to be more collecting data and analysing data, this is in line with the opinion of AI technology can help improve decision-making based on data, reduce human error, and increase efficiency (Spitzer, 2023), to determine learning styles, learning models have been suggested in literature, but there is no readily available software tool that provides the flexibility to select and implement the most suitable learning model, to fulfil this dire need, a framework of a tool is proposed here, which takes into consideration multiple learning models and artificial intelligence techniques for determining students' learning styles (Bajaj & Sharma, 2018).…”

Section: Methodsmentioning

confidence: 58%

Is There A Need Instrument Volleyball Underhand Serve Using Artificial Intelligence?

Destriana,

Destriani,

Victorian

et al. 2023

bravo's. j. prodi. pendidik. jasm. dan. kesehat.

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Analyzing the need for the implementation of the development of the ball volleyball lower serve instrument is one of the right ways to design what instruments are in accordance with the wishes of students so that learning objectives can be achieved. The purpose of this study is to see whether there is a need for the development of an artificial intelligence technology ball volleyball lower serve instrument. This type of research is descriptive quantitative with survey as the method used. The test instrument used is a questionnaire distributed by google form. This research was conducted at SMA Negeri 1 Tanjung Batu with 194 respondents. The results of the study obtained students with a very needy category as many as 139 (71.65%), students with a needy category as many as 34 (17.53%) students, a moderate category of 7 (3.61%), a category of less need as many as 10 5.15%) and a category of very little need as many as 4 (2.06%) students. very low 24%. The findings of this study are that in general students at SMA Negeri 1 Tanjung batu need the development of an instrument for serving under volleyball with Artificial Intelligence technology, with these findings, it is used as a basis for conducting further research to develop products in the form of a test instrument for serving under volleyball with Artificial Intelligence technology.

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Section: Methodsmentioning

confidence: 58%