The Effects of an Interactive Learning System on PANCE Performance

This chapter aims at describing a new platform for mobile and interactive learning targeted as an effective communication medium between the professor and students during lectures. In this system, students and professors will be equipped with a Multimedia Messaging Service (MMS) capable device (which may be PDAs, Laptops, or Tablet PCs) that is connected on the campus-wide Wireless LAN. During lectures, students can ask questions, response to questions or give immediate feedback on the lecture simply by composing a MMS message and sending it to the professor. The main advantage of this learning system is that MMS messaging is easily extensible to the mobile GSM networks, so students are not restricted to use it only on campus. In addition to enabling better interaction between students and instructor, an approach to facilitate student-to-student interaction during a lecture for peer-to-peer learning is proposed, which can be easily integrated into our existing system.

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Design and Realization of Interactive Learning System for Art Teaching in Pre-school Education of Artificial Intelligence Equipment

10.1007/978-3-030-87903-7_66 ◽

2021 ◽

pp. 540-548

Author(s):

Lijuan Zhong

Keyword(s):

Artificial Intelligence ◽

Interactive Learning ◽

School Education ◽

Learning System ◽

Art Teaching

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Interactive Learning with Mutual Explanations in Relational Domains

10.1093/oso/9780198862536.003.0017 ◽

2021 ◽

pp. 338-354

Author(s):

Ute Schmid

Keyword(s):

Machine Learning ◽

Real World ◽

Inductive Logic Programming ◽

Interactive Learning ◽

Inductive Logic ◽

Learning System ◽

Real World Data ◽

Relational Domains ◽

Learning Research ◽

Applications Of Machine Learning

With the growing number of applications of machine learning in complex real-world domains machine learning research has to meet new requirements to deal with the imperfections of real world data and the legal as well as ethical obligations to make classifier decisions transparent and comprehensible. In this contribution, arguments for interpretable and interactive approaches to machine learning are presented. It is argued that visual explanations are often not expressive enough to grasp critical information which relies on relations between different aspects or sub-concepts. Consequently, inductive logic programming (ILP) and the generation of verbal explanations from Prolog rules is advocated. Interactive learning in the context of ILP is illustrated with the Dare2Del system which helps users to manage their digital clutter. It is shown that verbal explanations overcome the explanatory one-way street from AI system to user. Interactive learning with mutual explanations allows the learning system to take into account not only class corrections but also corrections of explanations to guide learning. We propose mutual explanations as a building-block for human-like computing and an important ingredient for human AI partnership.

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ASSESSMENT OF AN INTERACTIVE LEARNING SYSTEM WITH “SENSORIZED” MANIKIN HEAD FOR AIRWAY MANAGEMENT INSTRUCTION

Anesthesiology ◽

10.1097/00000542-199209001-01067 ◽

1992 ◽

Vol 77 (Supplement) ◽

pp. A1067

Author(s):

R. P. From ◽

K. S. Pearson ◽

M. A. Albanese ◽

S. Sigurdsson ◽

J. R. Moyers

Keyword(s):

Airway Management ◽

Interactive Learning ◽

Learning System

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Active Learning in Mechanical and Mechatronics Engineering, Case Study: Computer-Based Interactive Learning in Robotics Classroom

Volume 6: Engineering Education and Professional Development ◽

10.1115/imece2010-39430 ◽

2010 ◽

Author(s):

Hamid R. Alemohammad ◽

Mohsen Shahini

Keyword(s):

Active Learning ◽

Interactive Learning ◽

Pilot Project ◽

Learning System ◽

Learning Methods ◽

University Instructors ◽

Computer Based ◽

Initial Survey ◽

Conventional Classroom ◽

The University

This paper is concerned with the review of active learning methods implemented in Mechanical and Mechatronics Engineering courses. The active learning methods are categorized into two groups of in-class activities without the use of computers and computer-based classrooms. The strategies to encourage university instructors to adopt active learning methods are also discussed. The paper also addresses the pilot project for the implementation of a novel computer-based experiential learning in the course of “Robot Manipulators: Kinematics, Dynamics, Control” at the University of Waterloo, Canada. A Student Interactive Learning System (SILS) has been developed for in-class activities in this course. The SILS system has two components: students’ mobile devices and a front-end website in which the instructor has control to upload the demonstrations and quizzes and receive students’ responses. The students are connected to the website through the WiFi connection. Findings of an initial survey, which was conducted at the start of the semester, revealed that majority of the students find the conventional classroom passive and believe adding interactivity in the lecture enhances their in-class learning experiences.

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