CMLA 2018

    The Second Workshop on Computational Models
    Learning Systems and Educational Assessment


    In conjunction with CVPR 2018, June 22
    Salt Lake City, UT

 


About

 

To be successful in today’s rapidly evolving, technology-mediated world, students must not only possess strong skills in areas such as reading, math and science, but they must also be adept at “21st-century” skills such as critical thinking, communication, problem-solving, persistence and collaboration.

 

Building learning and assessment systems that facilitate the development of such skills requires the recognition and extraction of patterns of human behavior and activities. Advances in computer vision, machine learning, educational data mining, and affective computing have made it possible to analyze a much wider range of student responses and activities. This is enabling the expansion of the types of tasks to elicit the knowledge, skills and attributes of learners and, hence, an expansion of the forms of learning and assessments systems we can use.

 

Inexpensive and ubiquitous sensors like webcams and microphones enable comprehensive sensing of the user’s behavior with real-time capture and recognition of gaze, facial expressions, gestures, body pose, spoken responses and paralinguistics. Such different modalities can then be integrated to model the user’s cognitive thought processes and non-cognitive behavior such as engagement, motivation, persistence and affective (emotional) state during interaction with learning or assessment systems such as educational games and automated tutors.

 

CMLA 2018 held in conjunction with CVPR 2018 provides an excellent platform for the sharing of knowledge and ideas across disciplines including computer vision, educational measurement and social science. Our hope is that by bringing together the best minds in these fields we will be able to further the state of the art and generate further interest and excitement in this area.

 

Specifically, the workshop will focus on the following areas:

  . Computational models of human behavior that utilize multimodal data, including but not limited to videos and audios

  . Educational learning and assessment systems that utilize machine learning, affective computing or computer vision

  . Immersive interfaces for simulation training and learning systems that are sensitive to human behavior

  . Applications of multimodal systems for educational assessment, learning systems, training and pedagogy

  . Adoption or fusion of novel research in areas of vision, speech, affect for modeling of social behaviors

 


Speakers

 

 

 

 

Paper Submission

 

CMLA 2018 is inviting high quality papers in the areas described above. Of particular interest are contributions that investigate multi-disciplinary research in the areas of computer vision, machine learning and new forms of educational learning and assessment tools. CMLA 2018 will offer two publication formats as follows:

  . Full papers (8 page limit), for original contributions incorporating in-depth research and latest results;

  . Short papers (4 page limit), for work that is in early stages and for novel and promising ideas that can be reported briefly.

 

The format of the papers is the same as the CVPR main conference. Manuscript templates can be found at the main conference website: http://cvpr2018.thecvf.com/submission/main_conference/author_guidelines#submission_instructions


  . CMT Submissions Website: (Closed)

Dates

  . Paper Submission Deadline: March 30th, 2018 (closed)

  . Decisions to Authors: April 13th, 2018

  . Camera-ready Deadline: May 14th, 2018

  . Workshop Date: June 22, 2018

  . Venue: In conjunction with CVPR 2018

  . Location: TBD


Organizers

  . Chair: Saad M. Khan, email: saad.khan@act.org, ACTNext, ACT

  . Terry Boult, University of Colorado at Colorado Springs

  . Yuchi Huang, ACTNext, ACT

  . Alina von Davier, ACTNext, ACT




Program: TBD