Artificial Intelligence in Engineering Education Special Issue Of
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Artificial Intelligence in Engineering Education
mathematics. All these disciplines are fused together and there by the intelligent agents are trained to understand and adapt to the surrounding environment according to the context. Recently, many intelligent robots have been developed for the future society. Artificial Particularly, intelligent robots should Intelligence (AI) can be defined as the continue to perform tasks in real intelligence exhibited by machines and environments such as houses, commercial computers in accomplishing the desired facilities and public facilities. The growing tasks in a much similar way how normal needs to automate daily tasks combined with human beings think and act. Hence AI is new robot technologies are driving the also termed as machine intelligence. For a development of human-friendly robots. computational system to be artificially Intelligent robots should have human-like intelligent the system should possess the intelligence and cognitive capabilities to co- ability to understand the surrounding exist with people. Artificial intelligence is environment, make proper assumptions and very important to provide human-friendly based on the circumstances make judicious services by robots. Research on artificial decisions that maximizes the possibilities of intelligence, cognition computing, and soft accomplishing goals most of the time. These computing has a long history. The concepts AI enabled devices are also called as on adaptation, learning, and cognitive Intelligent Agents. These intelligent agents development should be introduced more use some mapping functions also termed as intensively in the next generation robotics. cognitive functions, which take these Furthermore, the advent of Internet of environmental parameters and contextual Things, 5G wireless technology, and information as inputs along with the goal to robotics technology may also bring brand- be accomplished and manipulate the right new emerging intelligence to robots. means to accomplish the targeted goal. Artificial Intelligence can also be considered The use of artificial intelligence spans across as an inter-disciplinary since several other several applications such as Human disciplines such as Machine Learning, Computer Interaction (HCI) based smart Computer Vision, Cognitive Science, Neural agent development, devising smart Networks, Data Mining, Natural Language surveillance solutions using computer Processing (NLP), robotics and vision, creating robust and stable decision making systems that can understand, different courses and provide insightful evaluate, manipulate, analyze and predict information about their likeness towards a several novel patterns by processing large subject or course. This agent-based volumes of application data, development of information serves as useful information in multi lingual systems that uses NLP to deciding the teaching methodology and also understand the language features used across framing of course contents. Also, smart the context and aid decision making and so systems play a vital role in analyzing student on. Also, since its inception as an academic result and providing insightful information discipline in the 1950s AI has grown leaps about the student performance. Thus, it is and bounds as a discipline and its imperative that Artificial Intelligence has applications have stretched across several become an indispensable force to reckon domains such as Retail and Business with in the future forward across educational solutions, Manufacturing and Logistics, domain. However, the major drawback in Automobiles, Business Analytics and these artificially intelligent systems is that Market predictions, Healthcare, Security they are not always accurate with decision systems and Education. making and at times predict otherwise. Also, training the AI based agent to understand the One of the key emerging areas where contextual paradigm and surrounding extensive efforts are spent towards environment is a challenge. developing smart applications and agents is Educational domain. Gone are the days This special issue on “Artificial Intelligence where the educational system was In Education” is focused towards drawing completely driven by human and the growth original works related to development and of AI enabled intelligent agents have set the refinement of smart agents that can be tone to replace most of these human work applied across educational domain. Authors with smart agents. Educational systems use should submit their original manuscript AI based agents to study the behavior of specifically to manuscript "Type", "Special students and suggest suitable courses for issue - AI”. them. Smart agents are now a days deployed in classroom for complete classroom Topics of interest include but are not monitoring that includes tracking restricted to: attendance, monitoring class room activities, Artificially Intelligent agents for student and staff behavior monitoring etc. Teaching and Learning Experience. Similarly, smart agents are deployed to scan AI based streamlining of course through the contents available online and contents available online. suggest suitable contents to students AI based streamlining of course according to the course and also according contents based on student interest to the different level of understanding of and understanding level. student fraternity. Also, computer vision AI based predictive models for based smart agents are deployed to study the rendering course contents. state of mind of students when they undergo AI based smart class room design Reasoning techniques and development. Knowledge acquisition and Impact of AI on teaching pedagogy. representation Student behavioral analysis using AI. Agent-based solutions Application of AI in promoting Problem-solving and decision- innovative teaching methodologies. making support mechanisms Application of AI in bridging student Optimization techniques skill and understanding level. Automated approaches for AI agent for assessing learning prioritization experience. AI techniques for stimulating, AI based social/moral and ethical collecting, and analyzing crowd learning. generated data Multilingual course rendering using smart AI agents. Important Deadline: Smart agent-based suggestions for Submission deadline: February 1st, 2020 developing and improving faculty Author notification: April 20, 2020 development. RE quality models and their Revised papers due: May 20, 2020 automation Final notification: August 10, 2020 Natural language processing and comprehension Publication date: September 2020 Machine learning techniques Submission Information: including supervised, unsupervised, and machine human interactions Submit complete manuscripts to the CAE submission site: Robot Intelligence Learning, Adaptation, and Evolution https://mc.manuscriptcentral.com/cae in Robotics For submission instructions, please see the Human-Robot Interaction Author Guidelines: Embodied Cognitive Science http://onlinelibrary.wiley.com/journal/10.1002/(I Perception and Action SSN) 1099-0542/homepage/ForAuthors.html Intelligent Robots For general information, please see the CAE Fuzzy, Neural, and Evolutionary homepage: Computation for Robotics http://onlinelibrary.wiley.com/journal/10.1002/(I Evolutionary Robotics SSN) 1099-0542 Soft Computing for Vision and Learning Reasoning about uncertainties and ambiguities
Authors should submit their original manuscript specifically to manuscript "Type", "Special issue - AI" For additional information, please contact one of the Co-Guest Editors:
Priyan M K
Post- Doctoral Research Fellow, Middlesex University, London, UK
Email: priyanit085@gmail.com
Ching-Hsien Hsu Department of Computer Science and Information Engineering, Chung Hua University, Taiwan Email: [email protected]
Bharat S. Rawal Kshatriya
Assistant Professor of IST,USA .
E-mail: [email protected]