Ranking & Metrics Conference Call for Papers Other Conferences in United States
International Conference on Educational Data Mining

International Conference on Educational Data Mining

Durham , United Kingdom

Conference Dates: Jul 24, 2022 - Jul 27, 2022

Research
Impact Score 1.00

OFFICIAL WEBSITE

Conference Organizers: Deadline extended?
Click here to edit

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 1.00
Contributing Best Scientists: 8
H5-index:
Papers published by Best Scientists 15
Research Ranking (Computer Science) 313
Research Ranking (Psychology) 6
Research Ranking (Social Sciences and Humanities) 6

Conference Call for Papers

The theme of this year’s conference is “Inclusion, Diversity, Equity, and Accessibility (IDEA) in EDM Research and Practice”. This theme emphasizes the importance of considering and broadening who is included—or not included—in EDM, and why. Furthermore, the theme speaks to the importance of IDEA considerations in all stages of the research process, from participant recruitment and selection, data collection, methods, analysis, results, to the application of research results in the future. Thus, we welcome papers that examine inclusion, diversity, equity, and accessibility in EDM research itself in a systemic fashion (i.e., the way we do research), EDM methods (e.g., techniques to balance demographics), and in applications of EDM (e.g., how students with disabilities might be included or left behind by EDM applications).

Important Dates
TBD

Overview

Top Research Topics at Educational Data Mining?

  • Artificial intelligence (29.64%)
  • Machine learning (19.45%)
  • Mathematics education (14.70%)

The main research concerns discussed in Educational Data Mining are Artificial intelligence, Machine learning, Mathematics education, Data science and Educational data mining. Task (project management), Tracing and Natural language processing are some topics wherein Artificial intelligence research discussed in the conference have an impact. Mathematics education research presented is mostly focused on the subject of Academic achievement.

What are the most cited papers published at the conference?

  • The State of Educational Data Mining in 2009: A Review and Future Visions. (886 citations)
  • Data Mining Algorithms to Classify Students (278 citations)
  • Predicting Students Drop Out: A Case Study (246 citations)

Research areas of the most cited articles at Educational Data Mining:

The published papers focus on Artificial intelligence, Machine learning, Mathematics education, Multimedia and Educational data mining. The conference articles are mostly focused on Artificial intelligence, specifically Cluster analysis. The most cited papers about Machine learning cover related areas such as Multivariate analysis and also touches on topics like Point (typography).

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

  • Artificial intelligence
  • Statistics
  • Machine learning

The previous edition focused in particular on these issues:

Educational Data Mining mostly deals with topics like Artificial intelligence, Mathematics education, Machine learning, Learning analytics and Data science. While work presented in it provided substantial information on Artificial intelligence, it also covered topics in Process (engineering) and Natural language processing. Educational technology and Mathematics instruction studies are all carried out as a component of the study in Mathematics education presented.

Studies on Machine learning discussed in Educational Data Mining link to the field of Bayesian statistics.

The most cited articles from the last conference are:

  • Challenges for the Future of Educational Data Mining: The Baker Learning Analytics Prizes (25 citations)
  • Deep Learning vs. Bayesian Knowledge Tracing: Student Models for Interventions. (20 citations)
  • Decision Tree Modeling of Wheel-Spinning and Productive Persistence in Skill Builders. (19 citations)

Papers citation over time

A key indicator for each conference 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.

Research.com

The top authors publishing at Educational Data Mining (based on the number of publications) are:

  • Ryan S. Baker (56 papers) published 5 papers at the last edition the same number as at the previous edition,
  • Neil T. Heffernan (48 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • Tiffany Barnes (38 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Kenneth R. Koedinger (36 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Arthur C. Graesser (32 papers) published 7 papers at the last edition, 3 more than at the previous edition.

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

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Educational Data Mining (based on the number of publications) are:

  • Carnegie Mellon University (144 papers) published 8 papers at the last edition, 17 less than at the previous edition,
  • Worcester Polytechnic Institute (85 papers) published 8 papers at the last edition, 3 more than at the previous edition,
  • North Carolina State University (63 papers) published 12 papers at the last edition, 5 less than at the previous edition,
  • University of Memphis (58 papers) published 13 papers at the last edition, 5 more than at the previous edition,
  • Columbia University (46 papers) published 6 papers at the last edition, 1 less than at the previous edition.

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

Research.com

Publication chance based on affiliation

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

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.

Research.com

During the most recent 2017 edition, 13.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 47.71% were posted by at least one author from the top 10 institutions publishing at the conference. Another 4.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.18% of all publications and 27.52% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference in relation to all participants in a given year.

Research.com

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.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, 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).

Research.com

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

Research.com

Other Conferences in United Kingdom

IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids

Oct 31, 2023 - Nov 04, 2023

Glasgow , United Kingdom, United Kingdom

Deadline: Friday 09 Jun 2023

3rd Global Conference on Artificial Intelligence and Applications

Sep 24, 2023 - Sep 26, 2023

London , United Kingdom, United Kingdom

Deadline: Thursday 15 Jun 2023

ACM SIGCHI Symposium on Engineering Interactive Computing System

Jun 27, 2023 - Jun 30, 2023

Swansea , United Kingdom, United Kingdom

Deadline: Tuesday 14 Feb 2023

21st IEEE International NEWCAS Conference

Jun 22, 2023 - Jun 28, 2023

Edinburgh , United Kingdom, United Kingdom

Deadline: Monday 06 Feb 2023

IEEE International NEWCAS Conference

Jun 19, 2023 - Jun 23, 2023

Edinburgh , United Kingdom, United Kingdom

Deadline: Monday 06 Feb 2023

Previous Editions

International Conference on Educational Data Mining

Jul 24, 2022 - Jul 27, 2022

Durham , United Kingdom, United Kingdom

Something went wrong. Please try again later.