Prediction English word concreteness ratios by their multidimensional Perceptual and action strength norms

Many dataset resulted by participant rating for word norms also concreteness ratio areavailable. However infrequent word and none words concreteness rank is rare. Here we usedLancaster sensory motor words’ norms , to predict word concreteness ratios of Brysbaerdataset. After removing missing values and collinear variables, we employed a SW-MLR forchoosing optimum number of norms to make a prediction MLR model. Finally we validate ourmodel using 10-fold cross-validation. The final model could predict concreteness by RMSE0.5123 and R-square 0.7262.

Introducing Interactivity in Lecture to Improve its Efficacy

Background: There are various ways by which learning is made more effective and active participation and attendance of the students can be increased. Interactive lectures are one of the important tools to achieve this. The aim of the present study is evaluating the efficacy of interactive teaching. Methods: Interactive lecture series were arranged followed by didactic lectures. At the end of each lecture feedback was taken by giving anonymous questionnaire from each participant. Rating of response was analyzed by ‘Yes’ or ‘No’ format in percentage. Results: 80-85% students reported interactive lectures are interesting, effective and should be followed regularly. Conclusion: Present study concludes that interactive lecture is an effective teaching learning tool which facilitates learners to think, feel and do.