Call for Papers and deadlines
Workshop topics
This workshop welcomes research, and practice-based work in the area. We encourage authors to present their research results or work in progress that address the previous questions but with an emphasis on presenting machine learning applications in the following topics:
- Educational Data Mining and Learning Analytics
- Technology-enhanced learning
- Novel approaches for transforming educational environments
- Human–Machine Collaborative Learning
- Curriculum adaptation to prepare workforce for Industry 4.0
- Data-driven Education
- Digitization and Artificial Intelligence
- Immersive Learning Environments
- Ubiquitous smart technologies in education
- Virtual, Augmented and Mixed Reality Learning Environments
- Wearable and Mobile Learning
- AI enabled Active Learning
- Robotics in Education
The accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. The most promising contributions presented at this workshop will be invited to send their extended versions to the linked Special Issues.
We are calling for papers addressing (but not limited to) one or several of the following questions:
- What are the challenges facing educational researchers employing machine learning as a research tool?
- What strategies can be implemented in real pedagogical contexts combining machine learning applications in educationally innovative contexts?
- How are these methodologies, tools and technologies being blended into existing practices?
- What are the new data points from emerging technologies in machine learning settings?
- How are the results of machine learning approaches supporting different educational domains?
- What are the ethical considerations when employing machine learning to support educational innovations?
- What is the future of machine learning to support educational innovations?
- What role can AI and ML play in facilitating home-based learning in a pandemic situation?
- How can ML enable evaluating learning efficiency of students using streaming video inputs?
- How can ML facilitate academic evaluation for students to gauge teaching-learning effectiveness?
Dates of importance
- Submission deadline (Extended Abstract):
8 August 202122 August 2021 - Acceptance Notification: 9 September 2021
- Early bird registration: 13 October 2021
- Final registration: 31 October 2021
- Full paper submission: 15 December 2021
- Workshop participation and presentation: 15-17 December 2021
- Revision Notification: 15 January 2022
- Full paper acceptance notification: 6 February 2022
Submission process
You may submit your contribution in two PDF documents: a blind extended abstract (without author(s) information) and a document with the abstract title and author(s) information.
It is necessary to use the IEEE template for the extended abstract.
The contributions will be managed through correspondence to writinglab@itesm.mx
Publications
The accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. The most promising contributions presented at this workshop will be invited to send their extended versions to the linked Special Issues, including:
Title: Equity and justice in health: the way forward in lifestyle medicine for Latin America
Journal: Ciência & Saúde Coletiva
Website: http://www.cienciaesaudecoletiva.com.br/
Guest editorial Team:
Ross Arena PhD, PT, FAHA, FESC, University of Illinois, Chicago, United States
Daniela Bassi Dibai PhD, PT, MSc, Ceuma University, Brazil
Samira Hosseini (PhD), Writing Lab, Tecnológico de Monterrey, Mexico
Asad Abbas (PhD), Tecnológico de Monterrey, Mexico
Mildred Lopez PhD, MSc, AFAMEE, Tecnológico de Monterrey, Mexico.
Title: Applications and Development in Linked Open Data (LOD) Cloud
Journal: Journal of Big Data
Website: https://journalofbigdata.springeropen.com
Guest editorial Team:
Kingsley Okoye (PhD), Tecnologico de Monterrey, Mexico
Samira Hosseini (PhD), Writing Lab, Tecnológico de Monterrey, Mexico
Amlan Chakrabarti (PhD), University of Calcutta, India
Julius T. Nganji (PhD), University of Toronto, Canada
Title: Emerging Technologies in Education for Innovative Pedagogies and Competency Development
Journal: Australasian Journal of Educational Technology
Website: https://ajet.org.au/index.php/AJET/SpecialIssueCall
Guest editorial Team:
Asad Abbas (PhD), Tecnológico de Monterrey, Mexico
Samira Hosseini (PhD), Writing Lab, Tecnológico de Monterrey, Mexico
José Luis Martín Núñez (PhD), Universidad Politécnica de Madrid, Spain
Susana Sastre-Merion (PhD), Universidad Politécnica de Madrid, Spain.