ICELIE 2024 -
11th IEEE International Conference on E-Learning in Industrial Electronics
ICEILE is an educational conference co-located within IECON, the
flagship conference of the IEEE Industrial Electronics Society, which is
independent in terms of key topics. The main objective of the events is to
discuss the new didactic methods and teaching/learning technologies that ensure
efficient training in the field of industrial electronics.
Like all areas of engineering, engineering education is
undergoing major changes. Education has been transformed by COVID, and the
demand for online laboratory measurements has increased. The new challenge is
the integration of AI-based tools into the educational process, the fruitful
application of chatbots and machine learning algorithms in learning and
engineering problem solving.
Recently, the project-based approach, which focuses on real
engineering tasks, has become widespread, but at the same time, AI tools have
emerged that can partially or completely solve many project tasks. These
applications can shorten the problem-solving process, but increase the
importance of professional control, as AI based tools might provide incorrect
solutions.
Papers are invited that address current challenges in
engineering education in terms of content development, didactics and
technology. Lectures dealing with the methodology of knowledge transfer in the
field of industrial electronics are welcome.
Effective teaching requires the identification of key knowledge
elements and engineering competencies, and the development of new approaches to
teaching methodology.
Participants registered for ICEILE will be able to attend all
IECON presentations, including keynotes, and the Gala Dinner will be a joint
event of the two conferences. Each conference will publish its own proceedings.
The topics of IEEE-ICELIE 2024 that will be addressed
in this conference will include, but are not limited to:
New Approaches and Standards in Engineering Education:
Curriculum development, content
management. Digital libraries, online
sources. Didactics in engineering education. Self-learning,
learner autonomy, collaborative learning. Teaching science
with an engineering approach. Model-based and data-based system description and
design. STEM competences. Educating the educators.
Project- and Problem-based Learning in
Industrial Electronics: Adaptation of real-world
projects into the curriculum. Projects that span the entire engineering
education process. Curriculum projects and
experiences. Working in teams. Industry relevance through practical
projects.
Remote Laboratories, Internet-Based Measurements, Virtual Laboratories: Simulation/emulation
vs. physical experimentation. E-Learning laboratories hardware and software.
Simulated communities; Online mentoring; Personalization; Corporate training. Innovative online assessment
tools and techniques.
Online learning, E-learning:
Content engineering. Internet based systems. Navigational
aspects. Virtual spaces; Ubiquitous learning; Mobile E-Learning applications.
Pervasive E-Learning. Multi-agent technology in web-based education. Semantic
social networks. Community discovering in social learning systems. Exploitation
of social structures in e-learning.
Assessing E-Learning: Organization of E-Learning, Cost
models. E-marketplace for higher education. Remote collaboration
strategies, effectiveness and outcomes of E-Learning, use of data analytics for learner
performance evaluation, integrity of assessment, effective feedback in digital
formats. Assessment methods for virtual project work.
AI-Based Intelligent Agents in
E-Learning: The role and impact of AI-based intelligent agents like
chatbots and virtual assistants in the e-learning environment. Design,
implementation, and effectiveness of AI tools. Integration of AI agents into
existing learning platforms. Personalized tutoring, real-time assistance. Ethical
considerations in AI-based education.
E-Learning technologies: Architecture, multimedia and hypermedia. Intelligent devices. Mobile communications, mobile/wireless networks, satellite technologies. User-centered device interfaces. Adaptive student-device interaction, E-Learning and intelligent agents. Wearable devices, ubiquitous E-Learning. Web 3.0 and social computing for learning. Social software for collaborative learning, multimedia environments. Security issues.
Accepted papers will be submitted for
inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality
requirements. Participants are automatically subscribed to the ICELIE and IECON
conference and receive both conference proceedings for a single registration
fee. The Organizing Committee of ICELIE 2024 looks forward to welcoming you to Sheraton Grand Chicago Riverwalk,
Chicago, USA
CONFERENCE VENUE:
The IEEE ICELIE 2024 conference will be co-located with the IEEE flagship conference IECON 2024 from 3-6 November, 2024 in Chicago, Illinois. The Conference is organized by the Industrial Electronics Society
For more information on travel and visa requirements please visit the IECON 2024 website.
Full Paper Submission: 13 May, 2024
Acceptance Notification: 10 June, 2024
Final Submission and
Registration:
1 July, 2024
Conference dates: 3-6 November, 2024
Presented papers at this conference will be published in an Electronic IEEE proceedings volume. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. Participants are automatically subscribed to the ICELIE and IECON conference, and receive both conference proceedings for a single registration fee. The Organizing Committee of ICELIE 2024 looks forward to welcoming you to the Sheraton Grand Chicago Riverwalk venue in Chicago, Illinois.