Title |
Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures
|
---|---|
Published in |
Frontiers in Psychology, March 2016
|
DOI | 10.3389/fpsyg.2016.00339 |
Pubmed ID | |
Authors |
Adam J. Rock, William L. Coventry, Methuen I. Morgan, Natasha M. Loi |
Abstract |
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 27% |
Netherlands | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Scientists | 3 | 27% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 140 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 18 | 13% |
Student > Ph. D. Student | 16 | 11% |
Researcher | 12 | 8% |
Student > Postgraduate | 9 | 6% |
Student > Doctoral Student | 9 | 6% |
Other | 42 | 30% |
Unknown | 36 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 28 | 20% |
Social Sciences | 17 | 12% |
Computer Science | 11 | 8% |
Medicine and Dentistry | 8 | 6% |
Arts and Humanities | 5 | 4% |
Other | 33 | 23% |
Unknown | 40 | 28% |