-------- Forwarded Message -------- Subject: [AISWorld] CFP: ICALT 2022 - Track 11. Artificial Intelligence and Smart Learning Environments (AISLE) Date: Wed, 22 Dec 2021 10:44:53 -0300 From: Sean W. M. Siqueira sean@uniriotec.br To: AISWorld@lists.aisnet.org
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@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 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org