BlueLearn: Low-Cost Interactive Learning System

2010 ◽  
Author(s):  
Vesa A. Korhonen
Keyword(s):  
Interactive Learning ◽  
Low Cost ◽  
Learning System

scholarly journals A Machine Vision Approach for Bioreactor Foam Sensing

2021 ◽  
pp. 247263032110088
Author(s):  
Jonas Austerjost ◽  
Robert Söldner ◽  
Christoffer Edlund ◽  
Johan Trygg ◽  
David Pollard ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Vision ◽  
State Of The Art ◽  
Low Cost ◽  
High Accuracy ◽  
Consumer Electronics ◽  
Learning System ◽  
Automotive Applications ◽  
Fine Grained

Machine vision is a powerful technology that has become increasingly popular and accurate during the last decade due to rapid advances in the field of machine learning. The majority of machine vision applications are currently found in consumer electronics, automotive applications, and quality control, yet the potential for bioprocessing applications is tremendous. For instance, detecting and controlling foam emergence is important for all upstream bioprocesses, but the lack of robust foam sensing often leads to batch failures from foam-outs or overaddition of antifoam agents. Here, we report a new low-cost, flexible, and reliable foam sensor concept for bioreactor applications. The concept applies convolutional neural networks (CNNs), a state-of-the-art machine learning system for image processing. The implemented method shows high accuracy for both binary foam detection (foam/no foam) and fine-grained classification of foam levels.

The Effects of an Interactive Learning System on PANCE Performance

2008 ◽  
Vol 19 (3) ◽  
pp. 30-34
Author(s):  
Scott Massey ◽  
Mona Sedrak ◽  
Louise Lee
Keyword(s):  
Interactive Learning ◽  
Learning System

Use of a sonification system for science learning by people who are blind

2016 ◽  
Vol 10 (4) ◽  
pp. 187-198 ◽  
Author(s):  
Orly Lahav ◽  
Nuha Chagab ◽  
Vadim Talis
Keyword(s):  
Complex Systems ◽  
Conceptual Knowledge ◽  
Science Curriculum ◽  
Low Cost ◽  
Agent Based Modeling ◽  
Learning System ◽  
Learning Ability ◽  
Content Type ◽  
Agent Based ◽  
K 12

Purpose The purpose of this paper is to examine a central need of students who are blind: the ability to access science curriculum content. Design/methodology/approach Agent-based modeling is a relatively new computational modeling paradigm that models complex dynamic systems. NetLogo is a widely used agent-based modeling language that enables exploration and construction of models of complex systems by programming and running the rules and behaviors. Sonification of variables and events in an agent-based NetLogo computer model of gas in a container is used to convey phenomena information. This study examined mainly two research topics: the scientific conceptual knowledge and systems reasoning that were learned as a result of interaction with the listen-to-complexity (L2C) environment as appeared in answers to the pre- and post-tests and the learning topics of kinetic molecular theory of gas in chemistry that was learned as a result of interaction with the L2C environment. The case study research focused on A., a woman who is adventitiously blind, for eight sessions. Findings The participant successfully completed all curricular assignments; her scientific conceptual knowledge and systems reasoning became more specific and aligned with scientific knowledge. Practical implications A practical implication of further studies is that they are likely to have an impact on the accessibility of learning materials, especially in science education for students who are blind, as equal access to low-cost learning environments that are equivalent to those used by sighted users would support their inclusion in the K-12 academic curriculum. Originality/value The innovative and low-cost learning system that is used in this research is based on transmittal of visual information of dynamic and complex systems, providing perceptual compensation by harnessing auditory feedback. For the first time the L2C system is based on sound that represents a dynamic rather than a static array. In this study, the authors explore how a combination of several auditory representations may affect cognitive learning ability.

Mobile Interactive Learning in Large Classes

2011 ◽  
pp. 260-272 ◽  
Author(s):  
Kin-Choong Yow ◽  
Boon-Chong Seet
Keyword(s):  
Wireless Lan ◽  
Interactive Learning ◽  
Effective Communication ◽  
Peer To Peer ◽  
Student Interaction ◽  
Learning System ◽  
Immediate Feedback ◽  
Large Classes ◽  
Tablet Pcs ◽  
Multimedia Messaging Service

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.

Interactive Learning with Mutual Explanations in Relational Domains

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.

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

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

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

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.

Sign in / Sign up

Export Citation Format

Share Document