Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining

In the last decades, an effort has been made to improve the efficiency of high-level and academic education players. Nowadays, students’ preferences and habits are continuously evolving and so the educational institutions deal with important challenges, such as not losing attractiveness or...

Full description

Bibliographic Details
Main Authors:	Gaetano Biancucci, Giovanni Bonciani, Simona Fioravanti, Antonello Binni, Franco Lucchese, Apollonia Matrisciano
Format:	Article
Language:	English
Published:	MDPI AG 2018-09-01
Series:	Actuators
Subjects:	teaching learning mocromanipulation microactuation multiple ability inventories
Online Access:	http://www.mdpi.com/2076-0825/7/3/55

id	doaj-5ead2da1bef34c3d99d61b7cb430bebd
record_format	Article
spelling	doaj-5ead2da1bef34c3d99d61b7cb430bebd2020-11-25T00:54:32ZengMDPI AGActuators2076-08252018-09-01735510.3390/act7030055act7030055Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text MiningGaetano Biancucci0Giovanni Bonciani1Simona Fioravanti2Antonello Binni3Franco Lucchese4Apollonia Matrisciano5Department of Mechanical and Aerospace Engineering, University of Rome La Sapienza, 00184 Rome, ItalyDepartment of Mechanical and Aerospace Engineering, University of Rome La Sapienza, 00184 Rome, ItalyDepartment of Mechanical and Aerospace Engineering, University of Rome La Sapienza, 00184 Rome, ItalyDepartment of Mechanical and Aerospace Engineering, University of Rome La Sapienza, 00184 Rome, ItalyDepartment of Dynamic and Clinical Psychology, University of Rome La Sapienza, 00185 Rome, ItalyFaculty of Industrial and Civil Engineering, University of Rome La Sapienza, 00184 Rome, ItalyIn the last decades, an effort has been made to improve the efficiency of high-level and academic education players. Nowadays, students’ preferences and habits are continuously evolving and so the educational institutions deal with important challenges, such as not losing attractiveness or preventing early abandonment during the programs. In many countries, some important universities are public, and so they receive national grants that are based on a variety of factors, on which the teaching efficiency has a great impact. This contribution presents a method to improve students commitment during traditional lessons and laboratory tests. The idea consists in planning some activities according to the students’ learning preferences, which were studied by means of two different approaches. The first one was based on Gardner’s multiple intelligence inventory, which is useful to highlight some peculiar characteristics of the students on the specific educational field. In the second method, direct interviews, voice recognition, and text mining were used to extract some interesting characteristics of the group of students who participated in the projects. The methods were applied in May 2018 to the students attending the course of Micro-Nano Sensors and Actuators for the postgraduate academic program dedicated to Industrial Nanotechnologies Engineering of the University of Rome La Sapienza. The present paper represents the first part of the investigation and it is dedicated essentially to the adopted methods. The second part of the work is presented in the companion paper dedicated to the presentation of the practical project that the students completed before the exam.http://www.mdpi.com/2076-0825/7/3/55teachinglearningmocromanipulationmicroactuationmultiple ability inventories
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Gaetano Biancucci Giovanni Bonciani Simona Fioravanti Antonello Binni Franco Lucchese Apollonia Matrisciano
spellingShingle	Gaetano Biancucci Giovanni Bonciani Simona Fioravanti Antonello Binni Franco Lucchese Apollonia Matrisciano Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining Actuators teaching learning mocromanipulation microactuation multiple ability inventories
author_facet	Gaetano Biancucci Giovanni Bonciani Simona Fioravanti Antonello Binni Franco Lucchese Apollonia Matrisciano
author_sort	Gaetano Biancucci
title	Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining
title_short	Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining
title_full	Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining
title_fullStr	Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining
title_full_unstemmed	Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining
title_sort	learning micromanipulation, part 1: an approach based on multidimensional ability inventories and text mining
publisher	MDPI AG
series	Actuators
issn	2076-0825
publishDate	2018-09-01
description	In the last decades, an effort has been made to improve the efficiency of high-level and academic education players. Nowadays, students’ preferences and habits are continuously evolving and so the educational institutions deal with important challenges, such as not losing attractiveness or preventing early abandonment during the programs. In many countries, some important universities are public, and so they receive national grants that are based on a variety of factors, on which the teaching efficiency has a great impact. This contribution presents a method to improve students commitment during traditional lessons and laboratory tests. The idea consists in planning some activities according to the students’ learning preferences, which were studied by means of two different approaches. The first one was based on Gardner’s multiple intelligence inventory, which is useful to highlight some peculiar characteristics of the students on the specific educational field. In the second method, direct interviews, voice recognition, and text mining were used to extract some interesting characteristics of the group of students who participated in the projects. The methods were applied in May 2018 to the students attending the course of Micro-Nano Sensors and Actuators for the postgraduate academic program dedicated to Industrial Nanotechnologies Engineering of the University of Rome La Sapienza. The present paper represents the first part of the investigation and it is dedicated essentially to the adopted methods. The second part of the work is presented in the companion paper dedicated to the presentation of the practical project that the students completed before the exam.
topic	teaching learning mocromanipulation microactuation multiple ability inventories
url	http://www.mdpi.com/2076-0825/7/3/55
work_keys_str_mv	AT gaetanobiancucci learningmicromanipulationpart1anapproachbasedonmultidimensionalabilityinventoriesandtextmining AT giovannibonciani learningmicromanipulationpart1anapproachbasedonmultidimensionalabilityinventoriesandtextmining AT simonafioravanti learningmicromanipulationpart1anapproachbasedonmultidimensionalabilityinventoriesandtextmining AT antonellobinni learningmicromanipulationpart1anapproachbasedonmultidimensionalabilityinventoriesandtextmining AT francolucchese learningmicromanipulationpart1anapproachbasedonmultidimensionalabilityinventoriesandtextmining AT apolloniamatrisciano learningmicromanipulationpart1anapproachbasedonmultidimensionalabilityinventoriesandtextmining
_version_	1725233868454232064

Learning Micromanipulation, Part 1: An Approach Based on Multidimensional Ability Inventories and Text Mining

Similar Items