Mobile Feedback Systems

Mobile Feedback System is a technological framework within Mobile-Assisted Language Learning that enables即时, context-sensitive, and personalized corrective feedback on language performance through mobile devices, distinguishing it from generalized or delayed feedback mechanisms by its integration of mobility, automation, and pedagogical responsiveness.

78

Publications

3.2K

Citations

253

Authors

122

Institutions

Publications per year

2017–2026

32

Authors

253

  1. MB
    Mireilla Bikanga Ada

    University of Glasgow, United Kingdom

    3 publications · 74 citations

    3

    h-index

  2. PL
    Pedro Lopes

    University of Chicago, United States

    2 publications · 116 citations

    2

    h-index

  3. QX
    Qi Xu

    Guangdong University of Foreign Studies, China

    2 publications · 181 citations

    2

    h-index

  4. PB
    Patrick Baudisch

    Hasso Plattner Institute, Germany

    2 publications · 116 citations

    2

    h-index

  5. XD
    Xiuqing Dong

    Guangdong University of Foreign Studies, China

    1 publications · 58 citations

    1

    h-index

1–5 of 253

Venues

  1. 3

    h-index

  2. Computer Assisted Language Learning

    2 publications · 178 citations

    2

    h-index

  3. Frontiers in Psychology

    2 publications · 40 citations

    2

    h-index

  4. Procedia - Social and Behavioral Sciences

    2 publications · 33 citations

    2

    h-index

  5. Journal of Computer Science

    2 publications · 43 citations

    2

    h-index

1–5