학회 정보

MTEL 2026: Multimedia Technologies in E-Learning

투고 마감일:
2026-10-15 마감됨
통보일:
2026-10-25
개최일:
2026-12-07
개최지:
Laguna Hills, California, USA
개최 횟수:
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MTEL
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회반 지수 (CP-I)

40.8 / 100
전체 5,777개 중 4,958위 · 상위 86%

교육·학습 기술 분야 142개 중 119위 컴퓨터 그래픽스·멀티미디어 분야 152개 중 137위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
19
커뮤니티 관심도 (10%)
13
공개 자료 충실도 (15%)
55

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공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-15

논문 모집

MTEL 2026 (Multimedia Technologies in E-Learning) is an academic conference held in Laguna Hills, California, USA on 2026-12-07. The paper submission deadline is 2026-10-15. Acceptance notifications are sent on 2026-10-25.

Due to its potential to make learning easier, more convenient, and more effective, education is one of the preeminent areas of applications for multimedia. Video capturing of lectures has become common practice to produce e-learning content. Simulations allow to explore experiments which would be too expensive or too dangerous to be conducted physically by students. Multimedia-powered demonstrations are freed from many physical restrictions such as the availability of an object to study or the timescale of an effect to observe. Teaching enriched by vivid presentations and possibility for interaction for students can also gain from improved learner’s motivation. Concepts may be given perceivable existence in a demonstration and the observability of important details can be augmented. With the present amounts of educational data produced, there is a high demand in techniques and methods capable of handling multimedia contents adequately. Educational content has to be presented, deployed, stored, navigated, searched, retrieved, edited, combined, and reused in a proper way. Furthermore, quality control and learning processes with feedback loops are considered to be important concepts for more effective and sustainable e-learning solutions. Multimedia technologies facilitate the evaluation, improvement, and assurance of quality in loopback controlled e-learning processes. Most of these topics involve techniques from artificial intelligence, computer vision, multimedia, but also human computer interaction, and psychology. This workshop aims at bringing together researchers who are interested in this intersection area between the technological point of view and the human-centered view. The topics include but are not limited to: Multimedia in M-Learning and Learning Apps – Use of mobile devices for recording – Use of mobile devices for playback – Mobile devices and multimedia-based learning-apps or learning-games Augmented and Virtual Reality in E-Learning – Augmented Reality application for immersive learning – Virtual Reality for explorative teaching – Machine Learning for adaptive content – Virtual Learning Environments (VLEs) AI-generated Multimedia for E-Learning – AI-based content creation – AI-based virtual tutors – AI-generated video tutorials Podcasts as Learning Tools – Educational Podcasts – Learning environments centered around podcasts – Creating and using educational Podcasts Learning Analytics – Tools and Frameworks – Big Data approaches – Analysis Techniques Academic Research Projects – Research Methodologies – Links between Education and Research – New Projects and Innovatio Content Creation & Content Development – Solving the content dilemma – Quick-creation of multimedia learning content – Video- and animation-content for teaching Lecture Recording, Multimedia Authoring & Classroom Methodology – Automated lecture recording and presentation techniques – Classroom note taking and whiteboard capturing and analysis – Multimedia authoring software for e-learning Experiments, Laboratories – Simulations – Animations – Virtual laboratories Multimedia Architectures, Repositories & Interfaces – Repositories for multimedia education – Architectures for user tracking – Technical infrastructures for large scale learning repositories – Big Data approaches – Information visualization and novel user navigation Semantic Multimedia in e-Learning Scenarios – Context aware semantic analysis of e-learning content – Semantic modeling and ontological engineering for e-learning scenarios The workshop will be held in conjunction with ISM 2026 in Laguna Hills, California (hybrid format) on December 07 – 09, 2026. It solicits regular technical papers of up to 8 pages (IEEE double-column format). Workshop papers will be official publications of IEEE which will be included in IEEEXplore and also be available as printed workshop proceedings. A number of selected papers will be invited for extension and publication in a special issue of ITSE (International Journal of Interactive Technology and Smart Education) published by Emerald.
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관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
AA*96.0SIGIRInternational Conference on Research and Development in Information Retrieval2027-01-142027-07-18
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.9CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.8ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*97.8IJCAIInternational Joint Conference on Artificial Intelligence2027-01-042027-08-07
AA*93.1STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.6ICCInternational Conference on Communications2026-10-022027-05-30
CB63.1IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*80.0PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
IEEE MultiMedia3.3IEEE1070-986X
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 Letters3.5Elsevier0167-8655
BPattern Recognition9.1Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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