Journal
JOURNAL OF STATISTICS AND DATA SCIENCE EDUCATION
Volume -, Issue -, Pages -Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/26939169.2023.2276441
Keywords
Data analytics; Learner dispositions; Linguistics; Programming; SWOT
Categories
Ask authors/readers for more resources
This article investigates how postgraduate linguistics students reflect on internal qualities and external circumstances that affect their learning. The results reveal interesting findings and highlight the role of internal traits in shaping students' attitudes. The pedagogical implications discussed in the article are important for enhancing the teaching of data analytics and programming skills to this target population.
Data analytics and programming skills are increasingly important in the humanities, especially in disciplines like linguistics due to the rapid growth of natural language processing (NLP) technologies. However, attitudes and perceptions of students as novice learners, and the attendant pedagogical implications, remain underexplored. This article reports a combined SWOT (strengths, weaknesses, opportunities, threats) and survey analysis of how postgraduate linguistics students reflect on internal qualities and external circumstances that affect their learning. SWOT is a popular self-reflective strategic planning tool by organizations. An innovative approach was used to classify students into four SWOT-defined learner dispositions (SO, ST, WO, and WT) based on their relative emphasis on strengths versus weaknesses, and opportunities versus threats. Scores on a modified Mathematics Attitude Survey measuring self-rated ABILITY, INTEREST, UTILITY, and PERSONAL GROWTH were then compared across these dispositions. Results reveal (i) some unexpected and interesting strengths/weaknesses/opportunities/threats, (ii) perceived internal traits (strengths/weaknesses) play a greater role than external traits (opportunities/threats) in shaping students' attitudes, (iii) a paradox where more confident students tend to be less interested, and vice-versa. Pedagogical implications arising from the results are discussed with an eye on enhancing the teaching of data analytics and programming skills to this target population.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available