The Use of Qualitative Data Analysis for the Evaluation of Design Ethnography Training Among Undergraduate Engineering Students

Author(s):  
Heather L. Lai ◽  
Tara Eaton

Abstract While qualitative data analysis (QDA) is an established method in education research, QDA is less common in engineering research and may be a challenge for engineering faculty not formally trained in qualitative methods to apply it in engineering education. The following describes the collaborative effort between an engineering design instructor and an anthropologist who used QDA to evaluate the implementation of design ethnography training in a third-year biomedical engineering design course. In their partnership, the study investigators examined student perspectives regarding design ethnography training and how such training in an engineering curriculum may prepare students for careers in biomedical design. Data for the study consisted of reflective essays (N = 42) that the students completed following two primary exercises dedicated to design ethnography skills training. Investigators input typed and anonymized text files of the student essays into ATLAS.ti X7, a qualitative data analysis software program, for qualitative content analysis. QDA was conducted using the constant comparison method to inductively identify pertinent themes. Throughout the QDA process, the investigators routinely met to discuss, merge and interpret themes as needed. Upon the finalization of themes, researchers re-reviewed the data using the finalized codebook (a list of themes and their definitions) for coding reliability. This regular contact was invaluable for the engineering instructor, providing instruction on the process necessary for proper application of QDA. The unique partnership between investigators offered the engineering design instructor the opportunity to evaluate engineering student perceptions of a new curriculum implementation in an in-depth manner not commonly attempted in engineering education. Results from the QDA showed that the incorporation of design ethnography skills training into an engineering design curriculum increased student awareness of the value of ethnography in understanding user environments while offering engineering students the opportunity to develop better observation skills. This study was successful not only in demonstrating efficacy of design ethnography training among undergraduate engineering students, but it also serves as an example of how QDA may be applied by engineering instructors for the evaluation of student experience and work in engineering education.

2018 ◽  
Vol 23 (1) ◽  
pp. 42-55 ◽  
Author(s):  
Abdolghader Assarroudi ◽  
Fatemeh Heshmati Nabavi ◽  
Mohammad Reza Armat ◽  
Abbas Ebadi ◽  
Mojtaba Vaismoradi

Qualitative content analysis consists of conventional, directed and summative approaches for data analysis. They are used for provision of descriptive knowledge and understandings of the phenomenon under study. However, the method underpinning directed qualitative content analysis is insufficiently delineated in international literature. This paper aims to describe and integrate the process of data analysis in directed qualitative content analysis. Various international databases were used to retrieve articles related to directed qualitative content analysis. A review of literature led to the integration and elaboration of a stepwise method of data analysis for directed qualitative content analysis. The proposed 16-step method of data analysis in this paper is a detailed description of analytical steps to be taken in directed qualitative content analysis that covers the current gap of knowledge in international literature regarding the practical process of qualitative data analysis. An example of “the resuscitation team members' motivation for cardiopulmonary resuscitation” based on Victor Vroom's expectancy theory is also presented. The directed qualitative content analysis method proposed in this paper is a reliable, transparent, and comprehensive method for qualitative researchers. It can increase the rigour of qualitative data analysis, make the comparison of the findings of different studies possible and yield practical results.


Author(s):  
Mohammad Reza Armat ◽  
Abdolghader Assarroudi ◽  
Mostafa Rad ◽  
Hassan Sharifi ◽  
Abbas Heydari

The propounded dualism in Content Analysis as quantitative and qualitative approaches is widely supported and justified in nursing literature. Nevertheless, another sort of dualism is proposed for Qualitative Content Analysis, suggesting the adoption of "inductive" and/or "deductive" approaches in the process of qualitative data analysis. These approaches have been referred and labelled as "inductive" or "conventional"; and "deductive" or "directed" content analysis in the literature. Authors argue that these labels could be fallacious, and may lead to ambiguity; as in effect, both approaches are employed with different dominancy during the process of any Qualitative Content Analysis. Thus, authors suggest more expressive, comprehensive, yet simple labels for this method of qualitative data analysis.


Author(s):  
Sophie Morinc ◽  
Jean-Marc Robert ◽  
Liane Gabora

Creative and innovative people are recognized for their contribution to society’s wellbeing. Engineers are often called upon to produce innovative ideas and thus participate in the improvement of their organization’s products, services, and processes. Not aiming at educating specialists with a degree in creativity, we nonetheless believe future engineers could benefit from a deliberate development of their creative abilities. However, building an effective and valid course to develop participants’ creativity is not without challenges.This paper describes an innovative cognitive approach to enhance creativity as well as the pedagogical strategies underlining a creativity course for engineering students. It also presents the pre-post results measured with a revised version of the CEDA (Creative Engineering Design Assessment). We evaluated the creative performance of 59 students before and after a 45-hour creativity course. Quantitative data shows statistically higher numbers after the course than before. Qualitative data provides further evidence of the course’s relevance and effectiveness.We conclude that students’ creativity can be increase and that the course enables a better understanding of creativity and how to foster it.


2018 ◽  
Vol 2 (2) ◽  
pp. 210-220
Author(s):  
Wendelinus Oscar Janggo ◽  
Yuliana Wisnawati Nona Nungsi

This research is entitled “The Effectiveness of Using Cooperative Script Method to Improve Students’ Reading Comprehension on Recount Text of 8th Grade Students of SMP N Kewapante, Maumere in Academic Year 2017/ 2018”. The objective of this research is to investigate and to find out whether the use of cooperative script method effective to improve students’ reading comprehension on recount text. The method of this research is experimental research especially quasi experimental research. In analyzing the data, the researcher combined both quantitative and qualitative data analysis. In qualitative data analysis, the researcher used interview technique in order to get information about students’ perceptions in reading, while in quantitative data analysis, the researcher used SPSS version 16. The result of the research showed that the implementation of Cooperative Script Method in experimental class was more effective to help the students in reading comprehension on recount text compared to the use of the conventional method in control class of the eighth grade students of SMP N Kewapante, Maumere. It is also found that cooperative script method positively contributed to improve students’ reading comprehension. Therefore ,the researcher  suggests the teachers to use cooperative script method in order to improve students reading comprehension Additionally, cooperative script method can also motivate students to be more active, relax and enthusiastic to comprehend reading texts.


1993 ◽  
Vol 19 (3) ◽  
pp. 637-660 ◽  
Author(s):  
Richard A. Wolfe ◽  
Robert P. Gephart ◽  
Thomas E. Johnson

The development of software programs designed to facilitate qualitative data analysis has proltferated recently. Despite their potential to contribute much to management research, very little concerning the use of such programs has appeared in the management literature. The purpose of this paper is to review the current state of computer-facilitated qualitative data analysis [CQDA] in order to contribute to its effective use by management researchers. In an effort to achieve this purpose we discuss why CQDA programs are proliferating, describe the potential of such programs to contribute to management research, address program capabilities and features, describe CQDA applications in management research, and review issues researchers should be aware of in considering the use of C&DA.


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