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Direct linkSanchez, Juan M. – Journal of Chemical Education, 2021
Systematic errors are unfortunately common in analyses performed by students in teaching laboratories. Quality control (QC) tools are required to detect and solve bias in laboratory analyses. However, although QC has become routine in real-world laboratories, it is still rarely applied in teaching laboratories. For this reason, systematic errors…
Descriptors: Critical Thinking, Science Experiments, Problem Solving, Error Patterns
Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018
This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…
Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education
Download full textZeglen, Marie E. – 1994
This paper encourages the use of Total Quality Management (TQM) tactics and other strategies as a practical means of fostering a quality culture in institutional research offices of higher education institutions. In particular, four approaches are advocated for understanding and minimizing errors: (1) use of TQM tactical tools to enhance work…
Descriptors: Colleges, Error Correction, Error Patterns, Higher Education
Peer reviewedGable, Robert A.; And Others – Teaching Exceptional Children, 1993
This article outlines the last step in a five-step process for preparing students to engage in a systematic mathematics problem-solving and decision-making process. The lesson plan teaches students to reread the problem, reexamine the question, check selection of operation, and recheck calculations and compare answers. (JDD)
Descriptors: Decision Making, Elementary Secondary Education, Error Patterns, Learning Strategies
Advanced Technology, Inc., Reston, VA. – 1984
The impact of data discrepancies made by colleges on the Fiscal Operations Report and Application to Participate (FISAP) is addressed, with attention to both impact on the entire aid program and resource allocation to institutions. Brief descriptions are provided of the allocation formulas for the three campus-based aid programs (Supplemental…
Descriptors: Computation, Data Collection, Error Patterns, Evaluation Criteria
