scholarly journals Can Service Learning Impact Student Learning and Motivation in a Required Engineering Probability and Statistics Course?

2016 ◽  
Author(s):  
Abbie Liel ◽  
Timothy Clarkin
Keyword(s):  
Service Learning ◽  
Student Learning ◽  
Statistics Course ◽  
Probability And Statistics

scholarly journals Confirmatory Factor Analysis for a Service-Learning Outcomes Measurement Scale (S-LOMS)

2020 ◽  
Vol 32 (1) ◽  
pp. 3-34
Author(s):  
Ka Hing Lau ◽  
Robin Stanley Snell
Keyword(s):  
Factor Analysis ◽  
Service Learning ◽  
Confirmatory Factor Analysis ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Higher Order ◽  
Measurement Scale ◽  
Outcomes Measurement ◽  
Confirmatory Factor

Service-learning was introduced into Hong Kong over a decade ago, yet there is a research gap about the self-perceived student learning outcomes, partly due to the lack of a reliable measurement instrument across disciplines and service-learning types. This study evaluated a recently created Service-Learning Outcomes Measurement Scale (S-LOMS) through confirmatory factor analysis with 629 students. S-LOMS measures self-perceived student learning outcomes with 56 items covering various learning outcome domains under four higher-order categories: knowledge application; personal and professional skills; civic orientation and engagement; and self-awareness. Alternative measurement models were compared, with the results indicating that although a model with 11 domains and without higher-order categories was preferred, there was also support for a model with 10 domains subsumed under the four higher-order categories. Multi-sample analyses indicated that both models were stable across gender.

scholarly journals Evaluating computer-based simulations, multimedia and animations that help integrate blended learning with lectures in first year statistics

2011 ◽  
Vol 27 (2) ◽  
Author(s):  
David L. Neumann ◽  
Michelle M. Neumann ◽  
Michelle Hood
Keyword(s):  
Blended Learning ◽  
Student Learning ◽  
First Year ◽  
Negative Attitudes ◽  
Learning Framework ◽  
Integration Of Technology ◽  
Statistics Course ◽  
Real World Applications ◽  
Computer Based ◽  
Enhance Student Learning

<span>The discipline of statistics seems well suited to the integration of technology in a lecture as a means to enhance student learning and engagement. Technology can be used to simulate statistical concepts, create interactive learning exercises, and illustrate real world applications of statistics. The present study aimed to better understand the use of such applications during lectures from the student's perspective. The technology used included multimedia, computer-based simulations, animations, and statistical software. Interviews were conducted on a stratified random sample of 38 students in a first year statistics course. The results showed three global effects on student learning and engagement: showed the practical application of statistics, helped with understanding statistics, and addressed negative attitudes towards statistics. The results are examined from within a blended learning framework and the benefits and drawbacks to the integration of technology during lectures are discussed.</span>

Probability and Statistics Apps for Mobile Devices

2015 ◽  
pp. 242-258 ◽  
Author(s):  
Howard P Edwards
Keyword(s):  
Mobile Devices ◽  
Teaching And Learning ◽  
Mobile Apps ◽  
Primary Student ◽  
Statistics Course ◽  
E Learning ◽  
Probability And Statistics ◽  
Undergraduate Statistics

Mobile devices such as tablets and smartphones are rapidly replacing laptops and notebooks as the primary student e-learning device. This chapter discusses the needs of a Statistics app user and how these differ from the needs of users of other Mathematics apps, and then reviews some the mobile apps currently available which enable a user to either learn Statistics or to carry out the sorts of summaries and analyses encountered in an undergraduate Statistics course. Implications of these apps for both teaching and learning are discussed.

Probability and Statistics Apps for Mobile Devices

2015 ◽  
pp. 879-894
Author(s):  
Howard P Edwards
Keyword(s):  
Mobile Devices ◽  
Teaching And Learning ◽  
Mobile Apps ◽  
Primary Student ◽  
Statistics Course ◽  
E Learning ◽  
Probability And Statistics ◽  
Undergraduate Statistics

Mobile devices such as tablets and smartphones are rapidly replacing laptops and notebooks as the primary student e-learning device. This chapter discusses the needs of a Statistics app user and how these differ from the needs of users of other Mathematics apps, and then reviews some the mobile apps currently available which enable a user to either learn Statistics or to carry out the sorts of summaries and analyses encountered in an undergraduate Statistics course. Implications of these apps for both teaching and learning are discussed.

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