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Table 4 Topic modeling using LDA (Latent Dirichlet allocation model)

From: Uncovering trend-based research insights on teaching and learning in big data

 

1st Keyword (Prob.)

2nd Keyword (Prob.)

3rd Keyword (Prob.)

4th Keyword (Prob.)

5th Keyword (Prob.)

# of documents

Topic-1

learning (0.113)

practice (0.037)

assessment (0.034)

activity (0.028)

community (0.023)

226

Topic-2

student (0.149)

university (0.085)

experience (0.049)

classroom (0.016)

staff (0.01)

199

Topic-3

research (0.099)

paper (0.045)

supervisor (0.023)

context (0.023)

academic (0.02)

198

Topic-4

education (0.114)

approach (0.036)

institution (0.019)

system (0.014)

study (0.012)

188

Topic-5

group (0.071)

result (0.038)

participant (0.024)

student (0.023)

effect (0.016)

182

Topic-6

skill (0.039)

knowledge (0.037)

model (0.029)

performance (0.027)

role (0.026)

174

Topic-7

student (0.09)

study (0.082)

emotion (0.032)

challenge (0.025)

perception (0.021)

164

Topic-8

student (0.085)

analysis (0.035)

relationship (0.032)

strategy (0.025)

feedback (0.024)

154

Topic-9

student (0.073)

study (0.066)

course (0.048)

outcome (0.026)

case (0.019)

132

Topic-10

teaching (0.048)

finding (0.04)

teacher (0.034)

student (0.028)

practice (0.027)

126