Perspectives on Statistics Education: Observations From Statistical Consulting in an Academic Nursing Environment

2014 ◽  
Vol 53 (4) ◽  
pp. 185-191 ◽  
Author(s):  
Matthew J. Hayat ◽  
Sarah J. Schmiege ◽  
Paul F. Cook
Keyword(s):  
Statistics Education ◽  
Statistical Consulting

AN OUTCOME-BASED STATISTICAL CAPACITY DEVELOPMENT PROGRAMME TO SUPPORT RESEARCH AT A UNIVERSITY

2020 ◽  
Vol 19 (1) ◽  
pp. 181-193
Author(s):  
ENRIQUETA D. RESTON ◽  
ELMER S. POLIQUIT
Keyword(s):  
Statistical Methods ◽  
Teaching And Learning ◽  
Statistics Education ◽  
Private University ◽  
The Philippines ◽  
Research Journal ◽  
Statistical Consulting ◽  
Effective Teaching And Learning ◽  
Phase Evaluation ◽  
Support Research

This paper addresses a critical component of the infrastructure necessary for professional development toward more effective teaching and learning of research and statistical methods. In particular, an interdisciplinary in-service model is proposed, which has the potential to better prepare educators to address institution-specific needs amidst dwindling resources. In particular, we present an outcome-based model for developing statistical capacity in research in response to the need for training statisticians in the academia. The aim of the programme was to equip selected faculty with the competencies needed to provide various forms of statistical support services in line with the research, extension, and publication mandate of a large private university in the Philippines. The programme was administered in three phases: (1) training phase, (2) statistical consulting and mentoring phase, and (3) “cascading or extension” phase. Evaluation of the outcome involves participants’ demonstration of learning in various statistical methods through serving as resource persons during the cascading activity and the documentation of the statistical consulting experiences made during the programme. First published February 2020 at Statistics Education Research Journal Archives

scholarly journals LEARNING TO USE STATISTICS IN RESEARCH: A CASE STUDY OF LEARNING IN A UNIVERSITY-BASED STATISTICAL CONSULTING CENTRE

2010 ◽  
Vol 9 (2) ◽  
pp. 35-49
Author(s):  
MICHELLE K. MCGINN
Keyword(s):  
Statistics Education ◽  
Qualitative Case Study ◽  
Social Dimensions ◽  
Research Journal ◽  
Statistical Consulting ◽  
Naturally Occurring ◽  
Dimensions Of Learning ◽  
The University

This paper presents a qualitative case study of statistical practice in a university-based statistical consulting centre. Naturally occurring conversations and activities in the consulting sessions provided opportunities to observe questions, problems, and decisions related to selecting, using, and reporting statistics and statistical techniques in research. The consulting sessions provided simultaneous opportunities for consultants and clients to learn about using statistics in research. Consistent with contemporary theories that emphasize social dimensions of learning, major themes relate to (a) types of clients and consulting interactions, (b) disciplinary and statistical expertise, and (c) the role of material objects and representations. Evidence shows that consultants and clients learned during the consulting sessions and that the statistical consulting centre contributed positively to teaching and research at the university. First published November 2010 at Statistics Education Research Journal: Archives

Statistics Education Research Journal

2004 ◽  
Vol 4 (3) ◽  
pp. 58-58
Author(s):  
Flavia Jolliffe ◽  
Iddo Gal
Keyword(s):  
Education Research ◽  
Statistics Education ◽  
Statistics Education Research ◽  
Research Journal

scholarly journals Statistics education from a data‐centric perspective

2021 ◽  
Vol 43 (S1) ◽  
Author(s):  
Matthias Gehrke ◽  
Tanja Kistler ◽  
Karsten Lübke ◽  
Norman Markgraf ◽  
Bianca Krol ◽  
...  
Keyword(s):  
Statistics Education

Statistical Consulting

2002 ◽  
Vol 56 (4) ◽  
pp. 329-329
Author(s):  
C. M Anderson-Cook
Keyword(s):  
Statistical Consulting

Lessons from Inferentialism for Statistics Education

2011 ◽  
Vol 13 (1-2) ◽  
pp. 5-26 ◽  
Author(s):  
Arthur Bakker ◽  
Jan Derry
Keyword(s):  
Statistics Education

scholarly journals Statistical modeling processes through the lens of instrumental genesis

2021 ◽  
Author(s):  
Marianne van Dijke-Droogers ◽  
Paul Drijvers ◽  
Arthur Bakker
Keyword(s):  
Mathematics Education ◽  
Statistical Modeling ◽  
Conceptual Understanding ◽  
Digital Technology ◽  
Statistics Education ◽  
Modeling Processes ◽  
Digital Environment ◽  
Instrumental Genesis ◽  
Digital Tool ◽  
Conceptual Shift

AbstractDigital technology is indispensable for doing and learning statistics. When technology is used in mathematics education, the learning of concepts and the development of techniques for using a digital tool are known to intertwine. So far, this intertwinement of techniques and conceptual understanding, known as instrumental genesis, has received little attention in research on technology-supported statistics education. This study focuses on instrumental genesis for statistical modeling, investigating students’ modeling processes in a digital environment called TinkerPlots. In particular, we analyzed how emerging techniques and conceptual understanding intertwined in the instrumentation schemes that 28 students (aged 14–15) develop. We identified six common instrumentation schemes and observed a two-directional intertwining of emerging techniques and conceptual understanding. Techniques for using TinkerPlots helped students to reveal context-independent patterns that fostered a conceptual shift from a model of to a model for. Vice versa, students’ conceptual understanding led to the exploration of more sophisticated digital techniques. We recommend researchers, educators, designers, and teachers involved in statistics education using digital technology to attentively consider this two-directional intertwined relationship.

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