Investigating Student Understanding for a Statistical Analysis of Two Thermally Interacting Solids

2010 ◽  
Author(s):  
Michael E. Loverude ◽  
Chandralekha Singh ◽  
Mel Sabella ◽  
Sanjay Rebello
Keyword(s):  
Statistical Analysis ◽  
Student Understanding

scholarly journals The Genetics Concept Assessment: A New Concept Inventory for Gauging Student Understanding of Genetics

2008 ◽  
Vol 7 (4) ◽  
pp. 422-430 ◽  
Author(s):  
Michelle K. Smith ◽  
William B. Wood ◽  
Jennifer K. Knight
Keyword(s):  
Statistical Analysis ◽  
Student Learning ◽  
Item Difficulty ◽  
Student Understanding ◽  
Discrimination Index ◽  
Concept Inventory ◽  
Learning Goals ◽  
Learning Gains ◽  
Item Discrimination ◽  
Everyday Language

We have designed, developed, and validated a 25-question Genetics Concept Assessment (GCA) to test achievement of nine broad learning goals in majors and nonmajors undergraduate genetics courses. Written in everyday language with minimal jargon, the GCA is intended for use as a pre- and posttest to measure student learning gains. The assessment was reviewed by genetics experts, validated by student interviews, and taken by >600 students at three institutions. Normalized learning gains on the GCA were positively correlated with averaged exam scores, suggesting that the GCA measures understanding of topics relevant to instructors. Statistical analysis of our results shows that differences in the item difficulty and item discrimination index values between different questions on pre- and posttests can be used to distinguish between concepts that are well or poorly learned during a course.

The Impact of Daily Prayers Multimedia Application towards Student’s Learning Interest

2020 ◽  
Author(s):  
Eka Prasetya Adhy Sugara ◽  
Guntoro Barovih ◽  
Nurussama
Keyword(s):  
Statistical Analysis ◽  
Learning Process ◽  
Research Method ◽  
Positive Impact ◽  
Student Understanding ◽  
Learning Motivation ◽  
Daily Prayer ◽  
Learning Interest ◽  
The Impact ◽  
Descriptive Statistical Analysis

Multimedia is one method that can help improve the learning process. Several previous studies which stated that multimedia can help increase children's interest and learning motivation. Some other studies even state the application of multimedia in the learning process can improve student understanding and value in learning. However, not a few studies that state otherwise. Some research states that the application of multimedia in the learning process can disrupt student concentration. The aim of this study is to determine is there an impact in using daily prayer learning applications on children's learning interests. The object of research is students who study at the Darul Quddus Al-Qur'an Education Park. The research method used was descriptive statistical analysis. Based on the results, it can be concluded that the use of daily prayer learning applications has a positive impact on the learning interest of students at Darul Quddus Al-Qur'an Education Park.

scholarly journals Implementation of Asynchronous Educational Modules to Improve Student Understanding of Statistical Analysis in STEM Undergraduate Courses

2021 ◽  
Vol 4 (2) ◽  
pp. p108
Author(s):  
Sophia Barber ◽  
Sophia Ibargüen ◽  
Chloe Sharp ◽  
Janet Teng ◽  
Daisy Kim ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Undergraduate Students ◽  
Statistical Tests ◽  
Student Understanding ◽  
Alternative Methods ◽  
Asynchronous Learning ◽  
On Line ◽  
Student Laboratory ◽  
Sudden Transition ◽  
Laboratory Experiences

Due to the COVID-19 pandemic, many undergraduate students have been given no other option but to take their classes remotely. This has provided many challenges for both students and instructors, especially in the STEM field due to the required laboratory coursework. For this reason, alternative methods of distance learning are needed to optimize student laboratory experiences. The sudden transition to a remote format and adjusting to a new learning environment has proven to be difficult for both students and faculty. It has also been established throughout the pandemic that students perform substantially worse in on-line coursework compared with traditional, in-person classes. Students in a general chemistry course were introduced to innovative asynchronous lab modules that could be performed at home with the additional opportunity of conducting statistical analysis tests. These modules utilize discussion boards, graphing assessments, and labs to teach students how to perform different statistical tests and to familiarize students with the DataClassroom, Google Sheets, and Microsoft Excel platforms. This asynchronous learning format will promote both overall student engagement in STEM courses and student understanding of statistical analysis, thus exhibiting the potential to implement these modules in future undergraduate STEM coursework.

scholarly journals Students Motivation and Understanding of Football Using Android Media

2021 ◽  
Vol 13 (2) ◽  
pp. 1411-1418
Author(s):  
Bambang Gatot Sugiarto
Keyword(s):  
Statistical Analysis ◽  
Student Motivation ◽  
Quantitative Research ◽  
Student Understanding ◽  
Test Design ◽  
Parametric Test ◽  
Effective Media ◽  
Before And After ◽  
Post Test ◽  
Academic Year

In this pandemic period, a teacher must use effective media in the learning process to increase student understanding and motivation. This study aimed to see differences in student motivation and understanding in learning football material before and after using android media. This research is quantitative research with a pre and post-test design group. The population in this study was the eighth class of VIII SMPN 1 Cimahi, Cimahi Regency, the academic year 2020-2021 in August. The sample in this study was in the eighth class of SMPN 1 Cimahi. Statistical analysis used a parametric test if it fulfilled the classical assumptions. The results showed increased student motivation and understanding of football material before and after implementing learning using Android media. Through these results, the teacher can use Android to learn, especially during a pandemic like now.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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