Anthropometric classification of nasal indexes for a Sri Lankan undergraduate student population

Author(s):  
R. N Rajapakse ◽  
K. D Sandaruwan ◽  
D. D. Karunaratne ◽  
Muditha Vidanapathirana
2017 ◽  
Vol 46 (4) ◽  
pp. 220-224 ◽  
Author(s):  
Dulanjalee Rajapaksha ◽  
Vajira Waduge ◽  
Roman Padilla-Alvarez ◽  
Maheshika Kalpage ◽  
R. M. N. P. Rathnayake ◽  
...  

2019 ◽  
Vol 14 (1) ◽  
pp. 10
Author(s):  
Lakmini Mudduwa ◽  
Harshini Peiris ◽  
Thusharie Liyanage ◽  
Deepthika Abeysiriwardhana

2018 ◽  
Vol 16 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Sinjini Mitra ◽  
Archana J. McEligot

Background and Purpose: Multimedia tools are an integral part of teaching and learning in today’s technology-driven world. The present study explored the role of a newly-developed video introducing the emerging field of big data to a diverse undergraduate student population. Particularly, we investigated whether introduction of a multimedia tool would influence students’ self-perceived knowledge related to various big data concepts and future interest in pursuing the field, and what factors influence these. Methods: Students (n = 331) completed a survey on-line after viewing the video, consisting of Likerttype and quantitative questions about students’ learning experience, future interest in big data, and background. The dataset was analyzed via ANOVA and multiple linear regression methods. Results: Gender, major, and intended degree were significantly associated with students’ learning experience and future interest in big data. Moreover, students who had no prior exposure to big data reported a better learning experience, although they also reported less likelihood to pursue it in the future. Conclusion: Multimedia tools may serve as an effective learning tool in introducing and creating interest in a diverse group of students related to introductory big data science concepts. Both similarities and differences were observed regarding such behaviors among different student sub-groups.


Author(s):  
Samuel S. Conn ◽  
Simin Hall ◽  
Michael K. Herndon

The construct of this chapter (a research-based case study) provides detail regarding the analysis of research on undergraduate student epistemic beliefs to develop and apply a rubric for eLearning course development (Hannafin & Hill, 2007). According to Ravert and Evans (2007), students have differing epistemic beliefs regarding the nature of knowledge and knowing. In this chapter, the authors provide a methodology for determining the epistemic beliefs of a given student population and application of the findings in online course construction and pedagogy.


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