Natural Language Processing for Theoretical Framework Selection in Engineering Education Research

Berdanier, Catherine G.P.; McComb, Christopher; Zhu, Weiwei

doi:10.1109/fie44824.2020.9274115

Cited by 9 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, it is an effective tool for generating structured information from unstructured data. It is also a derivative of protocol analysis in that it endeavors to build AI-based computers and machines that understand and respond to text or voice data as well as respond with text or speech of their own in much the same way people do ( [15], [24], [99]). Recently, Berdanier et al [15] have used NLP in qualitative data analysis methods by analyzing a corpus of 54 interview transcripts investigating graduate engineering exhaustion.…”

Section: Introductionmentioning

confidence: 99%

“…It is also a derivative of protocol analysis in that it endeavors to build AI-based computers and machines that understand and respond to text or voice data as well as respond with text or speech of their own in much the same way people do ( [15], [24], [99]). Recently, Berdanier et al [15] have used NLP in qualitative data analysis methods by analyzing a corpus of 54 interview transcripts investigating graduate engineering exhaustion. More recently, Caratozzolo et al [24] provided evidence that using NLP tools could help instructors give better feedback, review oral and written communication skills, and provide personalized reports.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Protocol Analysis Data Collection Technique Implemented for Artificial Intelligence Design

Rodgers

Al-Shaikh

Khalil

2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

This article suggests that artificial intelligence (AI) can automate protocol analysis, a form of data analysis in cognitive psychology for inferring the information processes used by individuals from their verbal behavior while solving a problem. We propose a framework to employ think-aloud protocols (TaP) and thematic analysis in qualitative accounting research. Specifically, we use the TaP methodology to explore the impact of legal conflict and the lack of international financial reporting standards (IFRS) knowledge on implementing these accounting standards in a developing country (i.e., Iraq). The article analyzes 32 semi-structured in-depth phone interviews with external auditors, preparers, the capital market, national professional accounting and auditing associations, and academics. The results indicate that the lack of an AI framework, IFRS knowledge, and legislation conflict may adversely interact with standard implementation. This article explores how protocol analysis can benefit from AI support and provide design features. Protocol analysis can provide opportunities for future article, design, and action.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Protocol Analysis Data Collection Technique Implemented for Artificial Intelligence Design

Rodgers

Al-Shaikh

Khalil

2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

show abstract

“…An individual's relationship with the community evolves as part of their learning trajectory as they develop a sense of belonging and identity as a member of the community [16]. It has been affiliated with various studies in higher education [17][18][19] and engineering and computer science education [8,20,21]. Thayer and Ko [8] have demonstrated how utilizing Community of Practice can be an effective approach to analyzing barriers of coding bootcamp students.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Avoiding Barriers: A Literature Review on the Alternative Pathways for Women in Computer Science

Zhu,

Ross,

Patel

2022 ASEE Annual Conference &Amp; Exposition Proceedings

View full text Add to dashboard Cite

show abstract

Beyond analytics: Using computer‐aided methods in educational research to extend qualitative data analysis

Vieira,

Ortega‐Alvarez,

Magana

et al. 2024

Comp Applic In Engineering

View full text Add to dashboard Cite

This study proposes and demonstrates how computer‐aided methods can be used to extend qualitative data analysis by quantifying qualitative data, and then through exploration, categorization, grouping, and validation. Computer‐aided approaches to inquiry have gained important ground in educational research, mostly through data analytics and large data set processing. We argue that qualitative data analysis methods can also be supported and extended by computer‐aided methods. In particular, we posit that computing capacities rationally applied can expand the innate human ability to recognize patterns and group qualitative information based on similarities. We propose a principled approach to using machine learning in qualitative education research based on the three interrelated elements of the assessment triangle: cognition, observation, and interpretation. Through the lens of the assessment triangle, the study presents three examples of qualitative studies in engineering education that have used computer‐aided methods for visualization and grouping. The first study focuses on characterizing students' written explanations of programming code, using tile plots and hierarchical clustering with binary distances to identify the different approaches that students used to self‐explain. The second study looks into students' modeling and simulation process and elicits the types of knowledge that they used in each step through a think‐aloud protocol. For this purpose, we used a bubble plot and a k‐means clustering algorithm. The third and final study explores engineering faculty's conceptions of teaching, using data from semi‐structured interviews. We grouped these conceptions based on coding similarities, using Jaccard's similarity coefficient, and visualized them using a treemap. We conclude this manuscript by discussing some implications for engineering education qualitative research.

show abstract

Natural Language Processing for Theoretical Framework Selection in Engineering Education Research

Cited by 9 publications

References 23 publications

Protocol Analysis Data Collection Technique Implemented for Artificial Intelligence Design

Protocol Analysis Data Collection Technique Implemented for Artificial Intelligence Design

Avoiding Barriers: A Literature Review on the Alternative Pathways for Women in Computer Science

Beyond analytics: Using computer‐aided methods in educational research to extend qualitative data analysis

Contact Info

Product

Resources

About