The Innovative Reflective Thinking Process In Solving Calculus Problems

The process produces a mental representation that is a representation of thinking through the information transformation involves a complex interaction. The thought process that helps integrate reflective ability of a person is thinking. Reflective thinking is very important for students and faculty. But this is very different from the facts on the ground, as in mathematics professors still see the student's work without seeing how the student to find the results. Reflective thinking is occurring at each student as an individual, especially prospective teachers in teaching practice. Reflective thinking is needed by faculty and students to deal with the complexity of learning. The things that are important to note: (1) reflective thinking required by lecturers and students to deal with the complexity of learning, (2) to enhance learning, especially how the thinking, teaching, and learning; and (3) lecturers to adjust the mathematical material given to the student's developmental level mathematics scheme, customize the presentation of the material with a reflective thinking process of students, as well as gradually, the need to increase student independence in learning. Reflective thinking is one of the innovative thinking found that the flow obtained from the research. Innovative reflective thinking process is going on at the time have problems, confusion or doubt on the troubleshooting steps, the next obstacle is overcome by linking the information needed and then draw conclusions to develop a new concept and apply it and adding information from the given problem. Another feature that is obtained in the process of reflective thinking in innovative ways to solve it with the unusual, unique and different

A database system with amnesia

Big Data comes with huge challenges. Its volume and velocity makes handling, curating, and analytical processing a costly affair. Even to simply “look at” the data within an a priori defined budget and with a guaranteed interactive response time might be impossible to achieve. Commonly applied scale-out approaches will hit the technology and monetary wall soon, if not done so already. Likewise, blindly rejecting data when the channels are full, or reducing the data resolution at the source, might lead to loss of valuable observations. An army of well-educated database administrators or full software stack architects might deal with these challenges albeit at substantial cost. This calls for a mostly knobless DBMS with a fundamental change in database management. Data rotting has been proposed as a direction to find a solution [10, 11]. For the sake of storage management and responsiveness, it lets the DBMS semi-autonomously rot away data. Rotting is based on the systems own unwillingness to keep old data as easily accessible as fresh data. This paper sheds more light on the opportunities and potential impacts of this radical departure in data management. Specifically, we study the case where a DBMS selectively forgets tuples (by marking them inactive) under various amnesia scenarios and with different implementation strategies. Our ultimate goal is to use the findings of this study to morph an existing data management engine to serve demanding big data scientific applications with well-chosen built-in data a

In the Community: Over 25 Years of Inquiry, Innovation, and Impact

This report marks over 25 years of innovative applied research and the effects of those efforts in society. Founded in 1994, the Center for Social Development continues to generate pathbreaking innovations that broaden opportunity, especially for the marginalized. The report also looks ahead, discussing emerging engagements and potential lines for new inquiry

Innovative potential in European countries : analytical and legal aspects

Purpose: This paper aims to assess the innovation potential of Eastern European economies based on country's ability to export high-tech goods and services, which means innovating beyond the country's needs. Design/Methodology/Approach: We use analytical economic methodology to explore innovative potential of EE (Eastern Europe) countries as correlation-regression analysis. Findings: The study found that the innovative potential of the economy of EE (Eastern Europe) countries depends on the state’s expenditures on innovative research and development, the number of scientists and the level of financing for technical cooperation. Practical Implications: The negative factors that influence the formation of innovative potential are identified. The use of intellectual property rights by EE countries is inefficient and does not ensure the development of innovative potential. Patents for research and development of residents as well as non-residents do not ensure the progress and effectiveness of the innovative potential of the economy. The export of ICT services negatively affects innovative potential, however it is not a significant factor influencing innovative activity. Originality/Value: With this article we show that financing technical cooperation in EE countries does not lead to the development of innovative potential, that is, it is inefficient.peer-reviewe

Research Rundown: Innovative Science at the Wet Lab

A look at three students’ unique research projects that aim to advance marine science and improving the environment

Research Role in Denining Customer needs on Innovative Projects

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Patients as researchers - innovative experiences in UK National Health Service research

Consumer involvement is an established priority in UK health and social care service development and research. To date, little has been published describing the process of consumer involvement and assessing ‘consumers’ contributions to research. This paper provides a practical account of the effective incorporation of consumers into a research team, and outlines the extent to which they can enhance the research cycle; from project development and conduct, through data analysis and interpretation, to dissemination. Salient points are illustrated using the example of their collaboration in a research project. Of particular note were consumers’ contributions to the development of an ethically enhanced, more robust project design, and enriched data interpretation, which may not have resulted had consumers not been an integral part of the research team