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Journal of Educational Computing Research
H-index 24

Journal of Educational Computing Research

0735-6331

Published by: SAGE

https://journals.sagepub.com/home/jec

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Social Sciences and Humanities 303 17 26 13
Computer Science 407 18 29 15

Additional Metrics

Number of Best Scientists*: 46
Documents by Best Scientists*: 71
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 86
SCIMAGO SJR: 2.024
Impact Factor: 4.9

Overview

Top Research Topics at Journal of Educational Computing Research?

Journal of Educational Computing Research is organized to address concerns in the fields of Mathematics education, Computer-Assisted Instruction, Educational technology, Pedagogy and Multimedia. The work tackled in the journal goes beyond the discipline of Mathematics education as it also encompasses Higher education. It links adjacent topics like Computer-Assisted Instruction with Instructional design.

The journal explores topics in Educational technology which can be helpful for research in disciplines like Cooperative learning, Active learning, Experiential learning and Knowledge management. The studies tackled, which mainly focus on Cooperative learning, apply to Collaborative learning as well. It dives deep in exploring the relationship between the study of Pedagogy and Computer-mediated communication.

The study on Multimedia featured in it expounds on the topic of Hypermedia in particular.

  • Mathematics education (42.06%)
  • Computer-Assisted Instruction (19.23%)
  • Educational technology (18.99%)

What are the most cited papers published in the journal?

  • Analysis of a Global Online Debate and the Development of an Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing. (1294 citations)
  • What Happens When Teachers Design Educational Technology? The Development of Technological Pedagogical Content Knowledge (773 citations)
  • Computer Gaming and Interactive Simulations for Learning: A Meta-Analysis. (616 citations)

Research areas of the most cited articles at Journal of Educational Computing Research:

The most cited papers primarily tackle Mathematics education, Computer-Assisted Instruction, Educational technology, Pedagogy and Higher education. The featured Computer-Assisted Instruction studies in the journal articles mainly concentrate on Instructional design but also cover areas of interest in Distance education. The journal articles explore topics in Pedagogy which can be helpful for research in disciplines like Computer-mediated communication and Reading (process).

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

  • Law
  • Mathematics education
  • Artificial intelligence

The previous edition focused in particular on these issues:

Journal of Educational Computing Research aims to foster the development of research in Mathematics education, Computational thinking, Human–computer interaction, Artificial intelligence and Game based learning. The overlapping concepts between Coding (social sciences) and Pair programming are the key highlights of Mathematics education study. The research on Computational thinking tackled can also make contributions to studies in the areas of Educational robotics, Primary education, Curriculum and Constructionism.

Topics in Human–computer interaction explored in the journal were investigated in conjunction with research in Visual programming language, Scaffold, Task (project management), Cognitive load and Collaborative learning. The study on Artificial intelligence presented in Journal of Educational Computing Research intersects with subjects under the field of Machine learning. It explores issues in Student learning which can be linked to other research areas like Academic achievement and Interface (Java).

The most cited articles from the last journal are:

  • Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model (26 citations)
  • Conversation Technology With Micro-Learning: The Impact of Chatbot-Based Learning on Students’ Learning Motivation and Performance: (10 citations)
  • A Comparison of Solo and Pair Programming in Terms of Flow Experience, Coding Quality, and Coding Achievement: (7 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 Journal of Educational Computing Research (based on the number of publications) are:

  • Shu Ching Yang (11 papers) absent at the last edition,
  • Richard E. Mayer (11 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Karen Swan (10 papers) absent at the last edition,
  • Timothy Teo (8 papers) absent at the last edition,
  • Min Liu (8 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 Journal of Educational Computing Research (based on the number of publications) are:

  • Indiana University (36 papers) published 1 paper at the last edition,
  • Pennsylvania State University (27 papers) absent at the last edition,
  • National Central University (26 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Texas at Austin (25 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Bar-Ilan University (24 papers) published 1 paper 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 2021 edition, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.35% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.13% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.60% of all publications and 55.91% 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 Educational Computing Research

Considering the varied fields the Journal of Educational Computing Research covers, a variety of career paths can line up for those who take an interest in this sector. From being a Mathematics education specialist and an Instructional designer to becoming an Educational technologist, the options are broad and dynamic. In relation to this, the field of mental health also closely intertwines with educational computing particularly in the context of developing educational methodologies for diverse learners.

For instance, a mental health counselor in an educational setting can utilize the developments in computer-assisted learning to come up with pedagogical strategies attuned to the unique needs of learners with mental health considerations. To illustrate the steps towards this intriguing career intersection, the article: How to be a mental health therapist in North shares comprehensive ideas.

Whether you aspire to be a researcher, an educational technologist, a mental health counselor or a mix of these roles, continuous learning is crucial. And to aid you with this, reading research journals, such as the Journal of Educational Computing Research, can provide you with the latest studies and methodologies in the field.

Top Publications

  • Why Story Matters: A Review of Narrative in Serious Games:

    Emily Naul;Min Liu

    (2020)
    167 Citations
  • A Systematic Review of Social Media Acceptance from the Perspective of Educational and Information Systems Theories and Models.

    Noor Al-Qaysi;Norhisham Mohamad-Nordin;Norhisham Mohamad-Nordin;Mostafa Al-Emran

    (2020)
    166 Citations
  • From Gaming to Computational Thinking: An Adaptive Educational Computer Game-Based Learning Approach

    (2020)
    134 Citations
  • Augmented Reality for Early Language Learning: A Systematic Review of Augmented Reality Application Design, Instructional Strategies, and Evaluation Outcomes:

    Min Fan;Alissa N. Antle;Jillian L. Warren

    (2020)
    101 Citations
  • Promoting Self-Regulation Progress and Knowledge Construction in Blended Learning via ChatGPT-Based Learning Aid

    (2023)
    61 Citations
  • A Dual-Scaffolding Framework Integrating Peer-Scaffolding and Cognitive-Scaffolding for an Augmented Reality-Based Educational Board Game: An Analysis of Learners’ Collective Flow State and Collaborative Learning Behavioral Patterns:

    Huei-Tse Hou;Su-Han Keng

    (2021)
    59 Citations
  • Integrating Computational Thinking Concept Into Digital Storytelling to Improve Learners’ Motivation and Performance:

    Nadia Parsazadeh;Pei Yu Cheng;Ting Ting Wu;Yueh Min Huang

    (2021)
    57 Citations
  • Explaining Students’ Continuance Intention to Use Mobile Web 2.0 Learning and Their Perceived Learning: An Integrated Approach:

    Mohammad Dalvi-Esfahani;Lam Wai Leong;Othman Ibrahim;Mehrbakhsh Nilashi

    (2020)
    56 Citations
  • Toward a 5E-Based Flipped Classroom Model for Teaching Computational Thinking in Elementary School: Effects on Student Computational Thinking and Problem-Solving Performance:

    Xuemin Gao;Khe Foon Hew

    (2021)
    35 Citations
  • A Multiyear Investigation of Student Computational Thinking Concepts, Practices, and Perspectives in an After-School Computing Program:

    Chrystalla Mouza;Yi-Cheng Pan;Hui Yang;Lori Pollock

    (2020)
    35 Citations

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Best Scientists Contributing to This Journal

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