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ML 2027: International Conference on Mobile Learning

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투고 마감일:
2026-10-09 3일 남음
통보일:
2026-11-13
개최일:
2027-03-13
개최지:
Porto, Portugal
개최 횟수:
주최측:
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조회: 22642   팔로우: 3   참가: 1
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회반 지수 (CP-I)

55.4 / 100
전체 5,693개 중 831위 · 상위 15%
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
86
커뮤니티 관심도 (10%)
25
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 23 · 회반에서 팔로우 중인 연구자: 3명 · 지난 24개월 동안 이 페이지를 연 연구자: 4명

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 1.1 · 산출일 2026-10-05

논문 모집

ML 2027 (International Conference on Mobile Learning) is an academic conference held in Porto, Portugal on 2027-03-13. The paper submission deadline is 2026-10-09. Acceptance notifications are sent on 2026-11-13.

Mobile learning is concerned with a society on the move. In particular, with the study of “…how the mobility of learners augmented by personal and public technology can contribute to the process of gaining new knowledge, skills and experience” (Sharples et al. 2007). A growing understanding of the learning and instructional affordances of mobile technologies (alongside technological developments), have enabled the design and investigation of mobile learning experiences across contexts and dimensions of mobile learning. For instance, the literature in the field is rich in studies which investigate how learners move physical locations, utilising several devices/technologies, interacting with various social networks (perhaps across formal and informal learning settings), as they pursuit a learning path or event. There is much appreciation of learning principles, such as contextual, situated, augmented and collaborative among others, particularly suited to mobile learning. There is a well of studies reporting on how these principles can be best applied in the field. There are also always new technologies being implemented in the context of mobile learning for example, ‘smarter’ phones, e-readers, tablet and augmented reality applications. However, the evaluation of mobile learning is an area that has lagged behind. The mobile nature of mobile learners and the application of traditional evaluation strategies and tools, have often limited the scope of investigation to what can be observed by researchers or captured by external recording devices (such as video or sound). Thus, a challenge remains to understand what happens while learners are on the move. The advent of cloud computing and learning analytics offer potential for exploring innovative mobile learning experiences and alternative evaluation strategies which may in turn, shade light into what learning happens in the move. The Mobile Learning 2027 International Conference seeks to provide a forum for the presentation and discussion of mobile learning research which illustrate developments in the field. We invite researchers, practitioners, developers and all those working in the mobile learning arena to submit work under the following topics: – Learning analytics and mobile learning – Cloud computing and mobile learning – Pedagogical approaches, models and theories for mLearning – mLearning in and across formal and informal settings – Strategies and challenges for integrating mLearning in broader educational scenarios – User Studies in mLearning – Learner mobility and transitions afforded by mlearning – Socio-cultural context and implications of mLearning – Mobile social media and user generated content – Enabling mLearning technologies, applications and uses – Evaluation and assessment of mLearning – Research methods, ethics and implementation of mLearning – Innovative mLearning approaches – Tools, technologies and platforms for mLearning – mlearning: where to next and how?
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관련 학회

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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