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ACM Transactions on Computing Education
H-index 14

ACM Transactions on Computing Education

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 537 21 35 11
Social Sciences and Humanities 655 10 13 8

Additional Metrics

Number of Best Scientists*: 34
Documents by Best Scientists*: 49
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 51
SCIMAGO SJR: 0.784
Impact Factor: 3.8

Overview

Top Research Topics at ACM Transactions on Computing Education?

ACM Transactions on Computing Education is mainly concerned with subjects like Mathematics education, Teaching method, Curriculum, Pedagogy and Knowledge management. Mathematics education study tackled is connected to the field of Set (psychology). While work presented in it provided substantial information on Teaching method, it also covered topics in Active learning, Educational research, Visualization, Educational technology and Instructional design.

Active learning and Cooperative learning are closely related fields of research discussed in the journal. The in-depth study on Visualization also explores topics in the intersecting field of Human–computer interaction. Curriculum development is a key component of Curriculum research discussed in the journal.

  • Mathematics education (34.49%)
  • Teaching method (21.52%)
  • Curriculum (18.04%)

What are the most cited papers published in the journal?

  • The Scratch Programming Language and Environment (749 citations)
  • A Crafts-Oriented Approach to Computing in High School: Introducing Computational Concepts, Practices, and Perspectives with Electronic Textiles (205 citations)
  • A Review of Generic Program Visualization Systems for Introductory Programming Education (202 citations)

Research areas of the most cited articles at ACM Transactions on Computing Education:

The most cited papers cover a variety of subjects, including Mathematics education, Curriculum, Teaching method, Pedagogy and Multimedia. The published articles with studies in Mathematics education featured incorporate elements of Java and Pair programming. The works on Multimedia tackled in the most cited papers bring together disciplines like Computer programming, Scratch, Very high-level programming language and Extensible programming.

What topics the last edition of the journal is best known for?

  • Social science
  • Pedagogy
  • Programming language

The previous edition focused in particular on these issues:

The main points discussed in ACM Transactions on Computing Education deals with Systematic review, Engineering ethics, Computer security, Concept inventory and Test (assessment). It served as a forum through which researchers explored works on Systematic review in conjunction with disciplines such as Research literature, Empiricism, Field (Bourdieu) and Educational research.

The most cited articles from the last journal are:

  • Hiring CS Graduates: What We Learned from Employers (0 citations)
  • Study Behavior in Computing Education—A Systematic Literature Review (0 citations)
  • Identifying Non-Technical Skill Gaps in Software Engineering Education: What Experts Expect But Students Don’t Learn (0 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in ACM Transactions on Computing Education (based on the number of publications) are:

  • Michal Armoni (8 papers) absent at the last edition,
  • Josh Tenenberg (8 papers) absent at the last edition,
  • Robert McCartney (7 papers) absent at the last edition,
  • Christopher D. Hundhausen (5 papers) absent at the last edition,
  • Michael Kölling (5 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in ACM Transactions on Computing Education (based on the number of publications) are:

  • University of Washington (15 papers) absent at the last edition,
  • Weizmann Institute of Science (9 papers) absent at the last edition,
  • University of Kent (8 papers) absent at the last edition,
  • Purdue University (8 papers) absent at the last edition,
  • Florida International University (7 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.57% of all publications and 42.86% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Paths in Computing Education

If you are inspired by the assessments and discussions on computing education and believe that educating others about it is your calling, becoming a special education teacher may be a great career choice for you. The job of a special education teacher is to guide and assist students who are facing challenges that may make learning more difficult. However, becoming a special education teacher in this particular field of computing education requires specialized knowledge and reflexivity in pedagogy. In the state of Kansas, certain requirements must be met before one can teach special education. You might be wondering what it takes, from the necessary educational degrees, licensing, to skills development, to become effective in this profession. Therefore, we encourage you to consult this guide on how to become a special education teacher in Kansas as an excellent resource to start with. Furthermore, having a strong foundation in the aforementioned topics such as Mathematics education, Teaching methods, Curriculum, Pedagogy, and Knowledge management is crucial. A good understanding of these subjects is imperative to create an inclusive learning space for any student, regardless of their abilities or impairments. In conclusion, becoming a special education teacher is a rewarding career that not only necessitates passion but also a deep understanding of various teaching subjects and techniques. No matter where you are in your journey to becoming a special education teacher, always remember that every student has the potential for growth, and you could be the catalyst for their success.

Top Publications

  • The Intersection of Being Black and Being a Woman: Examining the Effect of Social Computing Relationships on Computer Science Career Choice

    Monique Ross;Zahra Hazari;Gerhard Sonnert;Philip Sadler

    (2020)
    70 Citations
  • A Review of Peer Code Review in Higher Education

    Theresia Devi Indriasari;Andrew Luxton-Reilly;Paul Denny

    (2020)
    47 Citations
  • A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature

    (2021)
    35 Citations
  • High School Teachers’ Self-efficacy in Teaching Computer Science

    Ninger Zhou;Ha Nguyen;Christian Fischer;Debra Richardson

    (2020)
    29 Citations
  • A Theory of Robust API Knowledge

    Kyle Thayer;Sarah E. Chasins;Amy J. Ko

    (2021)
    24 Citations
  • Interactive Stitch Sampler: A Synthesis of a Decade of Research on Using Electronic Textiles to Answer the Who, Where, How, and What for K--12 Computer Science Education

    Gayithri Jayathirtha;Yasmin B. Kafai

    (2020)
    22 Citations
  • Are They Learning or Playing? Moderator Conditions of Gamification’s Success in Programming Classrooms

    (2022)
    19 Citations
  • Examining the What, Why, and How of Multilingual Student Identity Development in Computer Science

    (2022)
    17 Citations
  • Development and Use of Domain-specific Learning Theories, Models, and Instruments in Computing Education

    (2022)
    17 Citations

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Best Scientists Contributing to This Journal