Teaching Statistics

Scope & Guideline

Transforming Teaching Methodologies in Statistics.

Introduction

Welcome to the Teaching Statistics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Teaching Statistics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0141-982x
PublisherWILEY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1979 to 2024
AbbreviationTEACH STAT / Teach. Stat.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The journal 'Teaching Statistics' is dedicated to advancing the field of statistics education through innovative pedagogical approaches, practical applications, and the integration of technology in teaching. It aims to foster statistical literacy and enhance the learning experience for students at various educational levels.
  1. Statistics Education Research:
    Focuses on empirical studies that explore effective teaching strategies, curriculum development, and student learning outcomes in statistics education.
  2. Integration of Technology in Teaching:
    Explores the use of software and tools such as R, Shiny, and CODAP to enhance the teaching and learning of statistics, making complex concepts more accessible.
  3. Statistical Literacy and Critical Thinking:
    Promotes the development of statistical literacy among students, encouraging them to critically analyze data and understand the implications of statistical findings in real-world contexts.
  4. Innovative Pedagogical Approaches:
    Encourages creative and interactive teaching methods, including the use of edutainment, visual aids, and real-world data to engage students in the learning process.
  5. Data Science Integration:
    Focuses on the intersection of statistics and data science, preparing students for modern analytical challenges by incorporating data-centric thinking and practices.
The journal 'Teaching Statistics' has seen a rise in interest surrounding several emerging themes that reflect the evolving landscape of statistics education. These trends highlight the journal's commitment to addressing current challenges and opportunities in the field.
  1. Data Science and Analytics:
    Recent publications increasingly focus on data science education, integrating programming and analytical skills into the curriculum, reflecting the growing importance of data-driven decision-making in various fields.
  2. Use of Edutainment and Interactive Learning:
    There is a marked trend toward incorporating edutainment and interactive learning strategies, which aim to make statistics more engaging and relatable for students, enhancing their overall learning experience.
  3. Application of Real-World Data:
    A growing emphasis on using real-world data in teaching statistics encourages students to apply statistical concepts to actual scenarios, fostering deeper understanding and relevance.
  4. Addressing Statistics Anxiety:
    Emerging themes include strategies to mitigate statistics anxiety among students, recognizing the psychological barriers that can impact learning and performance in statistics.
  5. Ethics in Statistics Education:
    There is an increasing focus on ethical considerations in statistics, particularly concerning data interpretation and representation, which is crucial in today's data-rich environment.

Declining or Waning

While 'Teaching Statistics' has consistently addressed a broad range of topics in statistics education, certain themes have shown a decline in emphasis over recent years. This may indicate a shift in the journal's focus towards more contemporary issues and methodologies.
  1. Traditional Statistical Methods:
    There appears to be a reduced emphasis on classical statistical methods and techniques, as the journal increasingly prioritizes innovative and technology-driven approaches to teaching statistics.
  2. Basic Statistical Theory:
    Topics centered on foundational statistical theories, such as basic probability and introductory statistical tests, have waned, possibly due to a growing preference for applied and practical approaches.
  3. Non-Interactive Teaching Methods:
    The decline in publications focusing on non-interactive or lecture-based teaching methods suggests a shift toward more engaging and participatory learning experiences.
  4. Standalone Statistical Software Reviews:
    There is a noticeable decrease in standalone reviews of statistical software, as the journal moves towards integrated discussions of software tools within broader educational contexts.

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