Data analysis and evaluation

2001 ◽  
pp. 79-93
Author(s):  
Gösta Kjellsson ◽  
Morten Tune Strandberg
Keyword(s):  
Data Analysis ◽  
Analysis And Evaluation

Approaches to Quantitative Data Analysis and Evaluation

2016 ◽  
Author(s):  
Stephen Rae ◽  
Ahmed Salhin ◽  
Babak Taheri ◽  
Catherine Porter ◽  
Christian König ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Quantitative Data ◽  
Statistical Techniques ◽  
Statistical Tools ◽  
Analysis And Evaluation ◽  
Quantitative Data Analysis ◽  
Analyse Data

To understand data and present findings appropriately, researchers need awareness of statistical techniques. This chapter discusses the statistical tools used to analyse data collected. It focuses on two sets of the most widely used statistical tools, as shown in the ‘Deductive’ section in the data analysis area of the Methods Map (see Chapter 4): (1) exploring relationships and (2) comparing groups. In addition, we briefly explain ‘Big Data’.

scholarly journals Analysis and evaluation of eye behavior for marine operation training - A pilot study

2019 ◽  
Vol 12 (3) ◽  
Author(s):  
Runze Mao ◽  
Guoyuan Li ◽  
Hans Petter Hildre ◽  
Houxiang Zhang
Keyword(s):  
Data Analysis ◽  
Pilot Study ◽  
Situation Awareness ◽  
Evaluation Method ◽  
Comparison Method ◽  
Similarity Comparison ◽  
Analysis And Evaluation ◽  
Target Segment ◽  
Total Immersion ◽  
Tracking Technology

This paper presents a new analysis approach for evaluating situation awareness in marine operation training. Taking advantage of eye tracking technology, the situation awareness reflected by visual attention can be visualized and analyzed. A scanpath similarity comparison method that allows group-wise comparisons is proposed. The term ‘Expert zone’ is introduced to evaluate the performance of novice operator based on expert operators’ eye movement. It is used to evaluate performance of novice operators in groups in certain segment of marine operation. A pilot study of crane lifting experiment was carried out. Two target stages of operation for the load descending until total immersion to the seabed were selected and analyzed for both novice and expert operators. The group-wise evaluation method is proven to be able to access the performance of the operator. Besides that, from data analysis of fixation-related source and scanpath, the similarities and dissimilarities of eye behavior between novice and expert is concluded with the scanpath mode in target segment.

scholarly journals A Systematic Literature Review of Research Methodologies Used for Evaluation of Augmented Reality Based Learning Applications

2019 ◽  
Author(s):  
Mehreen Sirshar ◽  
Haleema Sadia Baig ◽  
Syeda Hafsa Ali
Keyword(s):  
Systematic Review ◽  
Data Analysis ◽  
Augmented Reality ◽  
Literature Review ◽  
Learning Experience ◽  
Student Response ◽  
System Evaluation ◽  
Research Methodologies ◽  
Analysis And Evaluation ◽  
Qualitative And Quantitative

With the advancement in AR technology, more education-based applications are being developed using Augmented Reality, which has revolutionized the learning experience. However, in order to determine the application’s impact on student’s motivation, performance and their communication with the lecturer, various studies are conducted. These studies use one of the three research methodologies for data analysis and evaluation. In this systematic review, we have analyzed various research methodologies for system evaluation of the AR learning applications and recorded the student response toward the system. Also, we checked which methodology is preferred by researchers and why. A total number of 25 studies were analyzed which were published during the year of 2015 and 2019. The results indicate that most popular research technique is mixed methodology as it combines both qualitative and quantitative techniques. The purpose of this review is to offer new insights to researchers and provide them with advice about evaluation of AR applications and which tool or technique is more effective.

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