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EDM 2022: International Conference on Educational Data Mining

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EDM
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투고 마감일:
2022-02-27
통보일:
2022-04-17
개최일:
2022-07-24
개최지:
Durham, UK
개최 횟수:
15
ICORE: B   조회: 21614   팔로우: 5   참가: 4

회반 지수 (CP-I)

56.8 / 100
전체 5,682개 중 738위 · 상위 13%

데이터 마이닝·데이터베이스 분야 337개 중 37위

학술적 인정 (35%)
72
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
75
커뮤니티 관심도 (10%)
29
공개 자료 충실도 (15%)
25

사용한 입력: 수록 등급: ICORE B · 확인되는 개최 횟수: 15 · 회반에서 팔로우 중인 연구자: 5명 · 지난 24개월 동안 이 페이지를 연 연구자: 4명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-19

논문 모집

EDM 2022 (International Conference on Educational Data Mining) is a ICORE B conference held in Durham, UK on 2022-07-24. The paper submission deadline is 2022-02-27. Acceptance notifications are sent on 2022-04-17.

EDM 2022: the 15th International Conference on Educational Data Mining Hybrid format: Online and in Durham, UK, July 24–27, 2022 https://edm2022.webspace.durham.ac.uk Theme: Inclusion, Diversity, Equity, and Accessibility (IDEA) in EDM Research and Practice EDM 2022 is the 15th iteration of the Educational Data Mining conference series. 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). EDM is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. These data may originate from a variety of learning contexts, including learning and information management systems, interactive learning environments, intelligent tutoring systems, educational games, and data-rich learning activities. Educational data mining considers a wide variety of types of data, including but not limited to log files, student-produced artifacts, discourse, learning content and context, sensor data, and multi-resource and multimodal streams. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners. The 15th iteration of the conference, EDM 2022, will take place in a hybrid format, both online and in-person, to facilitate participation and networking for all. Topics of Interest Note that a paper does not need to use a certain method to be of interest to EDM. The most important consideration is whether the paper has novel implications of interest to the EDM community, which may include development of relevant theories, new EDM methods, evaluations of EDM methods, quantitative or qualitative research on stakeholders’ views toward EDM practices, insights into the EDM community itself, or other ways of discovering knowledge of relevance to EDM. Topics of interest to the conference include, but are not limited to: Research related to the conference theme this year: Inclusion, Diversity, Equity, and Accessibility (IDEA) in EDM Research and Practice Closing the loop between EDM research and learning sciences (e.g., informing EDM via educational theory and vice versa) Causal inference of which factors impact—not just predict—learning Developing new techniques for mining educational data Deriving representations of domain knowledge from data Privacy concerns and methods for preserving privacy Learner cognition, metacognition, affect, emotion, and behavior modeling Learner knowledge and performance modeling Educational recommenders, instructional sequencing, and personalized learning Institutional analytics (e.g., course sequencing, policy analysis) Social and collaborative learning (e.g., social network analysis, discussion forum mining) Replicability (e.g., replications in new contexts, platforms to enable replication) Improving reproducibility and open science methods in EDM research Submission Types For all tracks, the references section at the end of the paper does not count towards the listed page limits. Full Papers: 10 pages. Should describe original, substantive, mature, and unpublished work. Short Papers: 6 pages. Should describe original, unpublished work. This includes early stage, less developed works in progress. JEDM Journal Track Papers: Papers submitted to the Journal of Educational Data Mining track (and accepted before May 30, 2022) will be published in JEDM and presented during the JEDM track of the conference. Industry Papers: 6 pages. Should describe innovative uses of EDM techniques in a commercial setting. Doctoral Consortium: 2–4 pages. Should describe the graduate/postgraduate students’ research topics, proposed contributions, results so far, and aspects of the research on which advice is sought. Posters/Demos: 2–4 pages. Posters should describe original unpublished work in progress or last-minute results. Demos should describe EDM tools and systems, or educational systems that use EDM techniques. Workshop proposals: 2–4 pages. Should describe the organizers’ plan both to conduct the workshop (e.g., format, rough schedule, proposed list of speakers) and to stimulate growth in the workshop’s area of focus. Workshop organizers should indicate whether they would prefer to host their event in a hybrid format (supporting both in-person and remote attendees), or a remote-only format. Tutorial proposals: 2–4 pages. Should motivate and describe succinctly the field or tool that will be presented, as well as a plan for attendees to learn it in a hands-on way. Tutorial organizers should indicate whether they would prefer to host their event in a hybrid format (supporting both in-person and remote attendees), or a remote-only format. All accepted papers will be published in the open-access proceedings of the conference, except for the JEDM journal track as stated above. Papers submitted to workshops will be published separately in the workshop proceedings. All paper submissions must be submitted for double-blind reviewing. Links to existing source code are encouraged, however, to keep the double-blind reviewing, we suggest using a service such as Anonymous GitHub (https://anonymous.4open.science). Submission All papers should be formatted according to the EDM template, which is available in Word and LaTeX versions (https://educationaldatamining.org/resources/), and will soon be available in the template gallery in Overleaf. Note that the templates have recently changed to improve accessibility—thus, please make sure to use the updated template. Papers should be submitted to EasyChair (https://easychair.org/my/conference?conf=edm22). Select the relevant track for your submission on EasyChair, and then follow the submission instructions. EDM will incorporate questions related to fairness, equity, and positive social impacts as part of the review process this year. Authors should thus also consider these questions while writing papers. Details are available online (https://educationaldatamining.org/edm-2022-author-reviewer-checklist/); note that not all questions will be relevant to every paper, but if a question is relevant, reviewers will be asked to comment on it. In short, the questions are: Does the paper provide detail on the demographics of the population involved in the study? Does the paper describe how participants’ privacy rights were respected in the data collection process? Does the paper explicitly check for algorithmic bias in some fashion, and/or replicate new or existing results across population(s)? Does the paper include a discussion about potential positive and negative educational impacts of the proposed research artifact or application? Does the paper discuss ethical concerns related to the work, including potentially the framing of the task? Does the paper discuss the limitations of the work? Does the paper describe the computational power needed for training or testing the given models? Special Instructions Workshop and Tutorial proposals Workshop and Tutorial proposals should use the EDM proceedings template (LaTeX or Word) and include at least the following elements: Title Length of workshop/tutorial: full or half-day Proposed format of the workshop/tutorial (e.g., approximate timeline) and type of activities (paper presentations, discussions, debates, etc.) Description of the workshop/tutorial content and themes Plans for supporting remote attendees (either as a hybrid or fully-remote event) Names, short biographies, and contact information of workshop/tutorial chair(s) For tutorials, this biography must include detailed information about the qualifications of the proposer to conduct the tutorial on the proposed topic For workshops, include a list of organizing/program committee members, who should be from multiple universities JEDM Track Papers JEDM track papers should be formatted according to the JEDM guidelines and should be submitted to the journal directly at: https://jedm.educationaldatamining.org/index.php/JEDM/about/submissions by selecting the option “EDM 2022 Journal Track” in the corresponding Section box. Important Dates Please refer to the Important Dates page. Organizing Committee General Chairs Alexandra I. Cristea (Durham University, UK) Chris Brown (Durham University, UK) Program Chairs Tanja Mitrovic (University of Canterbury, NZ) Nigel Bosch (University of Illinois Urbana–Champaign, US) Workshop & Tutorial Chairs Angela Stewart (Carnegie Mellon University, US) Steven Bradley (Durham University, UK) Industry Track Chairs Carol Forsyth (Educational Testing Service, US) Stephen Fancsali (Carnegie Learning, Inc., US) Doctoral Consortium Chairs Neil Heffernan (Worcester Polytechnic Institute, US) Craig Stewart (Durham University, UK) Armando Toda (Durham University, UK) JEDM Track Chairs Sharon Hsiao (Santa Clara University, US) Luc Paquette (University of Illinois Urbana–Champaign, US) Poster & Demo Track Chairs Frederick Li (Durham University, UK) Michelle P. Banawan (Arizona State University, US) Hassan Khosravi (University of Queensland, AU) Publication/Proceedings Chairs Andrew Olney (University of Memphis, US) Tahir Aduragba (Durham University, UK) Accessibility Chairs JooYoung Seo (University of Illinois Urbana–Champaign, US) Paul Salvador Inventado (California State University Fullerton, US) Diversity, Equity, and Inclusion Chair Agathe Merceron (Beuth University of Applied Sciences, DE) Online/Hybrid Experience Chair LuEttaMae Lawrence (University of California Irvine, US) Stephen Hutt (University of Pennsylvania, US) Publicity/Social Media Chair Effie Law (Durham University, UK) Web Chair Lei Shi (Durham University, UK)
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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