[AISWorld] CFP: ICALT 2022 - Track 11. Artificial Intelligence and Smart Learning Environments (AISLE)

[Sean W. M. Siqueira]

Apologies for cross-posting

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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


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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 at 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