An Active Tangible User Interface Framework for Teaching and Learning Artificial Intelligence

Raffaele, Clifford De; Smith, Serengul; Gemikonakli, Orhan

doi:10.1145/3172944.3172976

Cited by 16 publications

(13 citation statements)

References 33 publications

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“…The present study was developed based on the detected potential and incipient use of TUIs to enhance the learning process of abstract domains [33]. Specifically, we focused on the difficulties evidenced in the teaching-learning of trigonometry in secondary and higher education and explored the possibilities of improving conceptual understanding by interacting with a TUI.…”

Section: Discussionmentioning

confidence: 99%

“…The style used by the Facilitator played an important role: using a simple and non-technical language during the experience helped students to feel at ease with a subject that was initially perceived as difficult and distant. This informal atmosphere promoted the construction of metaphors that served to achieve an understanding of abstract concepts [34].…”

Section: Discussionmentioning

confidence: 99%

“…The Unit Circle is a mathematical model where trigonometric functions are plotted based on a circle with radius one, centered at the origin (0,0) in a cartesian plane. It is widely used in trigonometry [29] because it simplifies the calculation of sine and cosine based on an angle and helps to better understand periodic functions [30]. The interface features a rotational control that we call "Rotary Wheel", a thirty-two-centimeter ring that can be turned in 360 degrees.…”

Section: Description Of the Interfacementioning

confidence: 99%

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A Tangible User Interface to Facilitate Learning of Trigonometry

Urrutia

Loyola

Marín

2019

Int. J. Emerg. Technol. Learn.

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In mathematics education, studies reveal difficulties in the teaching-learning of trigonometry in secondary and higher education, due to the fact that students are not encouraged to achieve a deep conceptual understanding of abstract concepts. Several studies demonstrate that incorporating digital technologies has a positive impact on students’ learning. However, most of the existing technologies do not consider the use of the body and multiple senses. Tangible User Interfaces (TUIs) in contrast, can host bodily interactions that have the potential of enhancing learning. Nonetheless, there is a lack of applications of TUIs for trigonometry education. This study consisted in designing and validating a tangible interface for the teaching-learning of basic concepts of trigonometry. The interface hosts a pedagogical experience that privileges exploration through physical manipulation and fosters intuitive and collaborative learning. A Pre-Test was applied to 121 students to determine previous knowledge, yielding a 29.1% performance. After two sessions using the interface, the results of a Post-Test reveal an increase of 37.1%, confirming the educational effectiveness of the interface and the pedagogical experience to facilitate learning of basic concepts of trigonometry.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Description Of the Interfacementioning

confidence: 99%

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A Tangible User Interface to Facilitate Learning of Trigonometry

Urrutia

Loyola

Marín

2019

Int. J. Emerg. Technol. Learn.

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“…Finally, research by De Raffaele et al proposes the use of an active Tangible User Interface framework within an undergraduate laboratory session to aid in the teaching and learning of ANNs. This framework aims to address the challenges experienced in teaching AI in higher educational institutions.…”

Section: Background and Motivationmentioning

confidence: 99%

A “learning by design” application for modeling, implementing, and evaluating hardware architectures for artificial neural networks at undergraduate level

Guzmán‐Ramírez

García

García-Juárez

2019

Comp Applic In Engineering

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Artificial intelligence is currently playing an important role in engineering education. Artificial neural networks (ANNs), for example, are one of the most important topics in computer science and computer engineering curricula. The teaching of ANNs, however, is challenging and current efforts are mainly focused on providing computer systems and/or software simulators to enhance results. In the present study, we introduce a field programmable gate arraybased educational system focused on the modeling, implementation, and evaluation of hardware architectures of ANNs type Multilayer Perceptron. The system was designed by taking into account the learning by design approach to creating a modular proposal, which is composed of a set of predefined modules that describe the behavior of each element of an ANN. This feature allows various neural architectures to be easily defined and to be applied to different specific problems. The system helps the teaching-learning process by providing a design environment where undergraduate students can apply the knowledge acquired in lecture-based courses related to areas, such as pattern recognition and neural networks. The experimental results present the design and implementation of an ANN hardware architecture that solves the iris-plant problem. K E Y W O R D Sartificial intelligence, artificial neural networks, engineering education, FPGA

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“…A research project most related to our work is outlined by Raffaele et al (2018). They developed a tangible educational environment for learning Artificial Intelligence by manipulating tangible objects with embedded technology that can change their color or be provided with movement.…”

Section: Introductionmentioning

confidence: 99%

Enhancing a Tangible Tabletop with Embedded-Technology Objects for Experiencing Deep Time

Mendoza¹,

Baranauskas²

2019

Anais Do XXV Workshop De Informática Na Escola (WIE 2019)

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concepts are harder to understand because they do not provide a direct sensory reference as concrete concepts do. Tangible interfaces have been shown benefits to facilitate the learning of such concepts through the manipulation of physical objects. In this work, we investigate the use of TangiTime, an educational exhibit designed and constructed as a tangible tabletop enhanced with embedded-technology objects to explore the concept of deep time. In particular, we were interested in the role of embedded-technology objects to support engagement and learning. We describe the TangiTime design process and artifacts implementation. Also, we present the context in which the exhibit was put into usage and results. Our results indicate that interaction with embedded-technology objects creates new ways of experiencing tangible tabletops and more engagement with the theme of the exhibit.

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An Active Tangible User Interface Framework for Teaching and Learning Artificial Intelligence

Cited by 16 publications

References 33 publications

A Tangible User Interface to Facilitate Learning of Trigonometry

A Tangible User Interface to Facilitate Learning of Trigonometry

A “learning by design” application for modeling, implementing, and evaluating hardware architectures for artificial neural networks at undergraduate level

Enhancing a Tangible Tabletop with Embedded-Technology Objects for Experiencing Deep Time

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