| Summary: | 碩士 === 吳鳳科技大學 === 應用數位媒體研究所 === 104 === In recent years, all walks of life for a huge amount of information on the degree of warm (Big Data) discussed less then the cloud system, twelve state religion study gifted education for junior high school students diverse learning impact also abound. States on Mathematics, the general problem-solving exam anecdotal studies suggest that having a positive impact on learners. However, the author observed countries Gifted Students in solving Mathematics Geometry topics seem to have knowledge of the phenomenon is different from the past.
By analyzing a huge amount of teaching materials can be found in connection with the fact that one of the hidden information between learners expand more learning experience. The richer the Big Data Source Analysis, which is available as a learning message is more accurate. The new century, information science and technology (Data Technology) seems to have substituted means of information technology, sustainable growth for the mathematics exam amount of data, the huge amount of data, messy questions will result in the distribution of teachers and students to new problems? Also, to generate a new way of thinking? Become one of the current topics worth studying. And the huge amount of data is closely related to "assist teaching exam", will bring teachers and students what effect is the focus on this study. Therefore, this examinal teaching as a key point, it adopts macro-thinking to the discussion at the wave of massive data, teachers and students teaching and learning which will change.
This study presents the following three propositions through research and case studies: a study proposition: as long as sufficient information learners exam practice time increased ability to solve problems from geometry will increase. Research Proposition II: innate gender impact analysis will be problem-solving ability. Research Proposition 3: exam massive data have a positive impact for gifted learners face questions. According to the above research proposition, this study proposes to explore the applicability and limitations of the study.
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