Extracting Academic Subjects Semantic Relations Using Collocations

Stoykova, Velislava

doi:10.4108/eai.4-10-2017.153161

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The researcher maintained a neutral stance when conducting interpretation of the data, so as to correctly identify relevant emergent properties toward development of the grounded theory. Hunston [6] an early advocate of text analysis, found using corpora more reliable than intuition, but that intuition was necessary for "extrapolating important generalizations" p. 22. Currently new data is being evaluated that was collected for 24 current additional learners over Fall 2017, with more data to be collected Spring and Summer semesters of 2018.…”

Section: Resultsmentioning

confidence: 99%

“…The method is therefore a mixture a computer analysis and researcher intuition. Stoykova [6] applied a search and retrieval approach to electronic versions of educational text corpus. The researcher used a statistical method to extend the keyword search, and was seeking fre-quency distributions, collocation candidates, and to identify grammatical and semantic relations.…”

Section: Literature Review Of Previous Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Using unsupervised machine learning to model tax practice learning theory

Miller¹

2018

IJET

View full text Add to dashboard Cite

The aim of this study was to utilize unsupervised machine learning framework to explore a dataset comprised of assessed output by Bachelors of Business, Taxation learners over four successive semesters. The researcher sought to motivate deployment of an evidence-supported, data-driven approach to understand the scope of student learning from a bachelor’s degree in business class taxation class, as a tool for accreditation reporting purposes. Outcomes from the data analysis identified four factors; two related to tax and two related to learning. These factors are, tax theory, and tax practice, along with practical learning and theoretical learning. Research motivated a grounded theory paradigm that explained taxation class learner’s scope of acquired knowledge. The resulting four factor model is a result of the study. The emergent paradigm further explains accounting student’s readiness for career success upon graduation and provides a novel way to meet outcomes reporting requirements mandated by programmatic business accreditors such as required by the Accreditation Council for Business Schools and Programs (ACBSP).

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Literature Review Of Previous Studiesmentioning

confidence: 99%