The Purpose of Statistics Education

2017 ◽  
pp. 1-9
Keyword(s):  
Scientific Method ◽  
Statistics Education ◽  
Interdisciplinary Approach ◽  
Primary Objective ◽  
Data Driven ◽  
Course Materials ◽  
Integrating Technology ◽  
Statistics Course ◽  
Online Statistics ◽  
Educational Psychological

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.

The Healing Magic of Joy: Understanding Magic as a Metaphor for Positive Emotion in The Secret Garden

2015 ◽  
Vol 8 (2) ◽  
pp. 127-141
Author(s):  
Margrete Lamond
Keyword(s):  
Positive Affect ◽  
Scientific Method ◽  
Positive Emotion ◽  
Literary Analysis ◽  
Data Driven ◽  
The Novel ◽  
Top Down ◽  
Affective Content ◽  
The Secret Garden ◽  
Biological Nature

Literary analysis tends to be conceptual and top-down driven. Data-driven analysis, although it belongs more to the domain of scientific method, can nevertheless sometimes reveal elements of narrative that conceptual readings may fall short of identifying. In critiques of Burnett's The Secret Garden, the children's return to health is generally understood to be the result of their interactions with nature. Some readings add the power of storytelling as a healing force in the novel. Burnett's concept of magic has tended to be treated with uneasy abstractions, and the influence of affect on health remains open for further investigation. This article bases its argument on data-driven analysis that charts how affective content in the novel occurs in conjunction with references to magic. It identifies the narrative significance of negative allusions to nature and how concepts of magic occur alongside representations of positive affect, and suggests that the magic of healing in The Secret Garden is not the transforming power of biological nature, nor the transforming power of storytelling, but the transforming power of surprise, wonder and happiness in conjunction with all these factors. Positive affect represents the essence of what Burnett means by magic.

scholarly journals Management of chronic periodontitis: an interdisciplinary approach

2016 ◽  
Vol 4 (2) ◽  
pp. 65
Author(s):  
Sneha Dani ◽  
Savitha A.N ◽  
Kenneth Tan ◽  
Anand Naik ◽  
Charan Chhatrala ◽  
...  
Keyword(s):  
Public Interest ◽  
Orthodontic Treatment ◽  
Interdisciplinary Approach ◽  
Primary Objective ◽  
Periodontal Therapy ◽  
The Other ◽  
Periodontal Health ◽  
Orthodontic Therapy ◽  
Single Tooth ◽  
Before And After

Objective: In recent years, advances in technique as well as a growing public interest in developing and maintaining a healthy and attractive smile, has resulted in a greater understanding of the interrelationships between periodontics and orthodontics. The primary objective of periodontal therapy is to restore and maintain the health and integrity of the attachment apparatus of teeth. In adults, the loss of teeth or periodontal support can result in pathological teeth migration involving either a single tooth or a group of teeth. This may result in the development of a diastema, incisal proclination, rotation with collapse of the posterior occlusion.Materials and methods: This case report is of a 32 year old female patient who reported with swollen gums, generalized spacing between the teeth and extruded upper anterior tooth. Periodontal therapy followed by fixed orthodontic therapy was planned.Results: At the end of 2 years a stable healthy periodontium was established that was both functional and esthetic.Conclusion: Adjunctive orthodontic therapy is often necessary for successful restoration of periodontal health. On the other hand, successful orthodontic treatment will depend on the periodontal preparation before and after treatment and the maintenance of periodontal health throughout all phases of mechano-therapy.

INTRODUCTORY STATISTICS COURSE TERTIARY STUDENTS’ UNDERSTANDING OF P-VALUES

2014 ◽  
Vol 13 (1) ◽  
pp. 53-65 ◽  
Author(s):  
ROBYN REABURN
Keyword(s):  
Null Hypothesis ◽  
Probabilistic Reasoning ◽  
Statistics Education ◽  
Introductory Statistics ◽  
P Values ◽  
Testing Procedures ◽  
Research Journal ◽  
Null Hypothesis Testing ◽  
Statistics Course ◽  
Teaching Programs

This study aimed to gain knowledge of students’ beliefs and difficulties in understanding p-values, and to use this knowledge to develop improved teaching programs. This study took place over four consecutive teaching semesters of a one-semester tertiary statistics unit. The study was cyclical, in that the results of each semester were used to inform the instructional design for the following semester. Over the semesters, the following instructional techniques were introduced: computer simulation, the introduction of hypothetical probabilistic reasoning using a familiar context, and the use of alternative representations. The students were also encouraged to write about their work. As the interventions progressed, a higher proportion of students successfully defined and used p-values in Null Hypothesis Testing procedures. First published May 2014 at Statistics Education Research Journal Archives

Virtual tourism on the example of the defunct Koscelisko medieval church in the North-Western Slovakia

2020 ◽  
Vol 11 (3) ◽  
pp. 96-107
Author(s):  
Pavel HRONČEK ◽  
◽  
Karol WEIS ◽  
Vladimír ČECH
Keyword(s):  
Middle Ages ◽  
Web Application ◽  
Interdisciplinary Approach ◽  
Field Research ◽  
3D Models ◽  
Primary Objective ◽  
Historical Buildings ◽  
High Quality ◽  
The North ◽  
Medieval Church

The primary objective of this paper is to present opportunities for creating virtual 3D models of defunct historical buildings, reconstructed on the basis of archival and field research, and the effective promotion and visualisation of such models through a thematic web application. The secondary objective is to increase the tourism potential and attractiveness of the various historical sites and the studied region. The comprehensive methodical processing of documents and the creation of 3D models of objects and other digital visualisation requires not only high-quality programmers and graphic artists, but especially scientists who create historically-relevant descriptive texts, real schemes, and historically acceptable models that can be computer-processed, visualised, and used as an effective tool for the development of tourism. Research and follow-up activities require an interdisciplinary approach, i.e. the cooperation of experts from various disciplines. The research processed in this study points out that even simple, now widely available modern means of communication, such as websites, can be effectively used for the promotion and publicity of this type of attraction. High-quality 3D models and visualisations of buildings and specific destinations, or cultural and technical monuments, can thus become available to tourists also outside museums. This paper introduces the opportunities of digital presentation of preserved, partially defunct and, especially, completely defunct historical buildings and sites that are often almost unknown to tourists. In many cases, only their shells or foundations remain. In terms of cultural heritage conservation and monument protection, these sites are often among the most important religious buildings from various historical periods. This study focuses on the Middle Ages and locations in Slovakia (former Hungary), and presents a methodology that is generally applicable for the research and visualisation of any similar cultural sites, and thus opening up their potential to tourists.

scholarly journals Educational Leadership Doctoral Students’ Perceptions of the Effectiveness of Instructional Strategies and Course Design in a Fully Online Graduate Statistics Course

2019 ◽  
Vol 23 (4) ◽  
Author(s):  
Mei Jiang ◽  
Julia Ballenger ◽  
William Holt
Keyword(s):  
Educational Leadership ◽  
Instructional Strategies ◽  
Doctoral Students ◽  
Course Design ◽  
New Technology ◽  
Guided Practice ◽  
Statistics Instruction ◽  
Learning Success ◽  
Statistics Course ◽  
Online Statistics

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.

INTERACTION BETWEEN ACADEMIA AND INDUSTRY TO BUILD STATISTICAL CAPACITY AMONG INDUSTRIAL-ENGINEERING STUDENTS

2020 ◽  
Vol 19 (1) ◽  
pp. 167-180
Author(s):  
JOSÉ LUIS ÁNGEL RODRÍGUEZ SILVA ◽  
MARIO SÁNCHEZ AGUILAR
Keyword(s):  
Applied Field ◽  
Engineering Students ◽  
Statistics Education ◽  
Teaching Experiment ◽  
Industrial Engineering ◽  
University Education ◽  
Theoretical Studies ◽  
Industrial Environment ◽  
Research Journal ◽  
Statistics Course

One of the aims of this work is to highlight the need for connecting the practice and theoretical studies of industrial engineers. One reason for this need is the fact that students tend to graduate without proper preparation for practice, spreading thus a bad reputation of statistics and its potential, and even affecting students’ dispositions and motivation towards the study and applications of statistics. This paper presents the results of a study conducted at two higher-education institutions in Mexico. The industrial engineering students who participated were introduced to a multivariate statistics course, one in a traditional way and the other through a problem-solving approach embedded within an industrial environment. The didactic intervention in both groups and the problems used to evaluate them are described. The results show that the experimental students had a significant increase in their qualifications and alower variance in their performance. From our study we can suggest that a university education in close connection with applications in an industrial environment significantly improves the students’ education. This teaching experiment provides students with opportunities to experience the genuine character of statistics as an applied field, giving meaning to the statistical techniques learnt in the classroom. It is one way to make the education in statistics more apt to the demand from outside and by the same time it enables the students to really understand statistics. First published February 2020 at Statistics Education Research Journal Archives

PROMOTING STATISTICS IN THE ERA OF DATA SCIENCE AND DATA-DRIVEN INNOVATIONS

2020 ◽  
Vol 19 (1) ◽  
pp. 226-237
Author(s):  
IBRAHIM SIDI ZAKARI
Keyword(s):  
Communication Skills ◽  
Data Science ◽  
Statistics Education ◽  
Effective Interaction ◽  
Oral Communication ◽  
Public Institutions ◽  
Future Generations ◽  
Data Driven ◽  
Policy Makers ◽  
Research Journal

This paper aims at highlighting initiatives in developing future statisticians directed at high-school and university levels in Niger. More specifically, it focuses on collaborations, partnerships, outreach initiatives and supporting mechanisms, which may contribute to increase engagement and interest in and attraction to the field of statistics in the era of data science and data-driven innovations. Providing sufficient exposure to modern statistical analysis, computational and graphical tools, written and oral communication skills, and the ever-growing interdisciplinary use of statistics are key activities for building future generations of statisticians. Furthermore, current curricula as well as pedagogical approaches, teaching materials, and assessment methods need to be re-thought in order tomeet the requirements of the skills needed in the 21st century ensuring effective interaction with scientists, public institutions, industry, civil society, and policy makers. First published February 2020 at Statistics Education Research Journal Archives

AN EXPLORATION OF STUDENT ATTITUDES AND SATISFACTION IN A GAISE-INFLUENCED INTRODUCTORY STATISTICS COURSE

2017 ◽  
Vol 16 (2) ◽  
pp. 487-510
Author(s):  
WARREN PAUL
Keyword(s):  
Student Attitudes ◽  
Structural Equation ◽  
Statistics Education ◽  
Student Feedback ◽  
Introductory Statistics ◽  
Group Discussions ◽  
Research Journal ◽  
Statistics Course ◽  
Attitudes Toward Statistics ◽  
Students Attitudes

We used the Survey of Attitudes Toward Statistics to (1) evaluate using pre-semester data the Students’ Attitudes Toward Statistics Model (SATS-M), and (2) test the effect on attitudes of an introductory statistics course redesigned according to the Guidelines for Assessment and Instruction in Statistics Education (GAISE) by examining the change in attitudes over the semester and, using supplementary data from an annual Student Feedback Survey, testing for a change in overall satisfaction following implementation of the redesigned course. We took an exploratory rather than confirmatory approach in both parts of this study using Bayesian networks and structural equation modelling. These results were triangulated with analysis of focus group discussions and the annual Student Feedback Survey. First published November 2017 at Statistics Education Research Journal Archives

Sign in / Sign up

Export Citation Format

Share Document