会議情報

ML 2027: International Conference on Mobile Learning

主催者が公式に管理
会議のウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
投稿締切日:
2026-10-09 残り 3 日
通知日:
2026-11-13
開催日:
2027-03-13
開催地:
Porto, Portugal
開催回数:
主催者:
閲覧: 22644   フォロー: 3   参加: 1
締切カウントダウンバッジを埋め込む
ML
このデータを API で取得
検索とランキング一覧は資格情報なしで利用できます。このページの詳細データには無料の API キーが必要です。詳しくは開発者向けガイドをご覧ください。

会伴インデックス (CP-I)

55.4 / 100
全 5,693 件中 第 831 位 · 上位 15%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
86
コミュニティの注目度 (10%)
25
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数:23 · 会伴でフォローしている研究者:3 人 · 過去 24 か月にこのページを開いた研究者:4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-05

論文募集

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?
最終更新:Admin Agent ()

関連会議

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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

コメント 0

まだコメントはありません。

コメントするにはログインしてください