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ICALT 2021 -- Track 11. Artificial Intelligence and Smart Learning
Environments (AISLE)
The 22th IEEE International Conference on Advanced Learning
Technologies
Bucharest, Romania, July 1-4, 2022
https://tc.computer.org/tclt/icalt-2022/
Submission deadline: January 14, 2022
===================================================
Track Description and Topics of Interest:
Broadly defined, Artificial Intelligence and Smart Learning
Environments
represent a new wave of educational systems, involving an
effective and
efficient interplay of pedagogy, technology, and their fusion
towards the
betterment of learning processes. Artificial Intelligence has the
potential
to educate, train, and augment human productivity, making them
better at
their tasks and activities. Artificial Intelligence can also make
a better
quality of an individual’s work, resulting in better learning and
teaching.
A learning environment can be considered smart when the learner is
supported by adaptive and innovative technologies from childhood
through
formal education and continued during work and adult life where
non-formal
and informal learning approaches become primary means for
learning. Smart
learning environments are neither pure technology-based systems
nor a
particular pedagogical approach. They encompass various contexts
in which
students (and perhaps teachers) move from one context to another.
So, they
are perhaps an overarching concept for future academia. This
perspective
has the potential to overcome some of the traditions of
institution-based
instruction towards lifelong learning.
AISLE@ICALT2022 will explore various dimensions of applying
artificial
intelligence and the emerging smart learning environments, such as
what
makes a learning environment smart, challenges in the design and
implementation of such environments in multiple and heterogeneous
contexts,
pedagogical and technological underpinnings, and the validation
issues.
Various components of this interplay include but are not limited
to:
1.
Pedagogy/didactics: instructional design, learning paradigms,
teaching
paradigms, environmental factors, assessment paradigms, social
factors,
policy
2.
Emerging technology: innovative uses of mature technologies,
interactions, adoption, usability, standards, and emerging/new
technological paradigms (open educational resources, learning
analytics,
cloud computing, smart classrooms, etc.)
3.
Fusion of pedagogy/didactics and technology: transformation of
curriculum, transformation of teaching behaviour, transformation
of
learning, transformation of administration, transformation of
schooling,
best practices of infusion, piloting of new ideas.
4.
AI governance and policy for smart learning: AI governance, AI
risk
management, AI accountability, AI self-surveillance, biases in AI
Algorithms, use and misuse of AI, AI on societal impact.
5.
AI technology & practice for smart learning: Explainable AI,
interpretable ML, flexibility and contextual understanding by
humans,
explanation and comprehensible by humans, intelligent agent
(assistants),
automated conversational robot (Chabot), AI-enabled
personalization.
Important dates
January 14, 2022 (Friday): Submission deadline for all papers
(Full paper,
Short paper, Discussion paper)
April 1, 2022 (Friday): Authors’ Notification on the review
process results
May 6, 2022 (Friday): Author’s registration deadline
May 6, 2022 (Friday): Final Camera-Ready Manuscript and IEEE
Copyright Form
submission
May 20, 2022 (Friday): Non-authors’ early bird registration
deadline
July 1-4, 2022 (Friday to Monday): ICALT 2022 Conference
Submission process:
All papers will be double-blindly peer-reviewed. Author guidelines
and
formatting templates can be accessed at ICALT Author guidelines
webpage (
https://tc.computer.org/tclt/icalt-2022-author-guidelines/ ).
Complete
papers are required to be reviewed. The expected types of
submissions
include:
Full paper: 5 pages
Short paper: 3 pages
Discussion paper: 2 pages
Please submit your manuscript (in only PDF) via the EasyChair
Conference
System at:
https://easychair.org/conferences/?conf=icalt2022
Conference Proceedings are published by: The IEEE Computer Society
Conference Publishing Services. Proceedings accepted in Xplore are
available to indexing partners, including EI, Scopus, and
Conference
Proceedings Citation Index.
Track 11, Program Chairs
Prof. Nian-Shing CHEN
National Taiwan Normal University, Taiwan
Prof. Patricia A. JAQUES
Universidade do Vale do Rio dos Sinos (UNISINOS), Brazil
Stephen J.H. YANG
National Central University, Taiwan
Helena MACEDO
Universidade Federal do Paraná (UFPR), Brazil
Sean SIQUEIRA
UNIRIO, Brazil
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