Using Excel to design an online statistics/ econometrics assessment

2020 ◽  
Author(s):  
Lory Barile
Keyword(s):  
2011 ◽  
Vol 11 (3) ◽  
pp. 35-36 ◽  
Author(s):  
Alun Owen ◽  
Peter Samuels ◽  
Michèle Wrightham ◽  
Bernadette Leckenby ◽  
Mollie Gilchrist

2019 ◽  
Vol 23 (4) ◽  
Author(s):  
Mei Jiang ◽  
Julia Ballenger ◽  
William Holt

In the past several decades, higher education has witnessed exponential growth of online learning, as well as the need for it. New technology has dramatically transformed the way education is delivered compared to what takes place in the traditional classroom. It has enabled online delivery of course materials to students outside of face-to-face classroom in an asynchronous manner and provide students with self-paced flexibility at their convenience. Given the abstract nature of statistics content, effectiveness of the instructional strategies and course design in online statistics instruction has become particularly important to students’ learning success. In this qualitative study, the authors explored perceptions of the Educational Leadership doctoral students towards an online graduate level introductory statistic course in terms of whether the online course instructional strategies and course design helped them learn statistics. The authors assessed effectiveness of the instructional strategies and design of the online statistics course as well as students’ needs, so more effective instructional strategies could be used for online statistics teaching. Students identified the PowerPoint presentations with recorded lectures to be the most useful strategy. This strategy, along with live Q&A sessions, guided practice and activities, helped make the textbook information more real-world and connected the elements of statistics to application.


2018 ◽  
Vol 57 (4) ◽  
pp. 1003-1037 ◽  
Author(s):  
Xiaoxia Huang ◽  
Richard E. Mayer

This chapter briefly introduces the field of statistics education, and provides a short synopsis for each of the seven proceeding chapters. In introducing the field, the importance of integrating technology into all aspects of the curriculum, and using a well-designed data driven methodology which takes an interdisciplinary approach, is argued to be central to the success of developing an online statistics course. By integrating technology and using the scientific method to align course materials and adhere to fundamental educational psychological findings, we argue that the primary objective of statistics education—to enhance statistics cognition—can be achieved.


Author(s):  
Scott Bingley ◽  
Steven Burgess

This chapter describes the development of a visual aid to depict the manner in which Internet applications are being diffused through local sporting associations. Rogers’ (2003) Innovation-Decision process stages, specifically the knowledge, persuasion, adoption and confirmation stages, are used as the theoretical basis for the aid. The chapter discusses the Innovation-Decision process as an important component of Rogers’ (2003) Innovation Diffusion approach. It then outlines the particular problem at hand, determining how best to represent different sporting (cricket) associations and their adoption and use of Internet applications across the innovation-decision process stages. Different data visualisation approaches to representing the data (such as line graphs and bar charts) are discussed, with the introduction of an aid (labelled I-D maps) used to represent the adoption of different Internet applications by cricket associations in New Zealand, Australia and the UK. The Internet applications considered are email, club websites, association and/or third party websites and the use of the Internet to record online statistics. The use of I-D maps provides instant interpretation of the different levels of adoption of Internet applications by different cricket associations.


2005 ◽  
Vol 59 (3) ◽  
pp. 240-251 ◽  
Author(s):  
Jorge Larreamendy-Joerns ◽  
Gaea Leinhardt ◽  
Javier Corredor

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