Pengembangan Modul Pembelajaran Statistika Sosial Lanjut Berbasis Web

Nisyak, Hoirun (2011) Pengembangan Modul Pembelajaran Statistika Sosial Lanjut Berbasis Web. Masters thesis, Postgraduate Sriwijaya University.

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      Abstract

      This research is conducted using the development of research methods types of research development Formative research, title research is the development of Advanced Learning Module Web-Based Social Statistics. purpose of this study were 1) producing learning modules Advanced Social Statistics web-based, 2) know the attitude of students towards learning modules Advanced Social Statistics web-based, 3) Knowing the learning outcomes of students after attending the learning using web-based learning modules. The research method consists of three stages: (1) self-evaluation, including analysis and design phase of instructional materials, (2) prototyping, including evaluation and revision stage, (3) field test. Methods of data collection are questionnaires, walktrough and test learning outcomes. The results of this development is a learning module further web-based social statistics, the website address: http://hoirunnisyak.co.cc. Learning Module Web-Based Advanced Social Statistics developed meets the criteria valid and practical. This can be seen from the comments and suggestions on each of the prototype, which the expert review states that the module already has a valid criteria for well-reviewed in terms of content, construct and lay out. Based on field tests of learning modules is known that socio-up web-based statistics have the potential effects on student learning outcomes, it is seen the results of student achievement, where there are 33.33% of students who have learned a very good outcome, 40% of students have good study results, 13.3% in the category of pretty, 6.67 7% of students have learning outcomes and 6.67% less fail. While viewed from the side of student attitudes towards learning module further web-based social statistics in mind that as much as 69% of students stated very interested, 24% of students expressed interest and 7% of students stated they were quite interested. So it can be concluded that learning to use learning modules up a web-based social statistics are classified in categories of good and even very good.

      Item Type: Thesis (Masters)
      Subjects: Q Science > QA Mathematics
      Divisions: Postgraduate Program > Master Program > Master Program in Mathematics Education
      Depositing User: Candra Setiawan
      Date Deposited: 11 Dec 2011 04:27
      Last Modified: 29 Feb 2012 03:45
      URI: http://eprints.unsri.ac.id/id/eprint/17

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