Literature DB >> 28181268

Developing an instrument to measure emotional behaviour abilities of meaningful learning through the Delphi technique.

Lucia Cadorin1, Annamaria Bagnasco1, Angela Tolotti1, Nicola Pagnucci2, Loredana Sasso1.   

Abstract

AIM: To identify items for a new instrument that measures emotional behaviour abilities of meaningful learning, according to Fink's Taxonomy.
BACKGROUND: Meaningful learning is an active process that promotes a wider and deeper understanding of concepts. It is the result of an interaction between new and previous knowledge and produces a long-term change of knowledge and skills. To measure meaningful learning capability, it is very important in the education of health professionals to identify problems or special learning needs. For this reason, it is necessary to create valid instruments.
DESIGN: A Delphi Study technique was implemented in four phases by means of e-mail.
METHODS: The study was conducted from April-September 2015. An expert panel consisting of ten researchers with experience in Fink's Taxonomy was established to identify the items of the instrument. Data were analysed for conceptual description and item characteristics and attributes were rated. Expert consensus was sought in each of these phases. An 87·5% consensus cut-off was established.
RESULTS: After four rounds, consensus was obtained for validation of the content of the instrument 'Assessment of Meaningful learning Behavioural and Emotional Abilities'. This instrument consists of 56 items evaluated on a 6-point Likert-type scale. Foundational Knowledge, Application, Integration, Human Dimension, Caring and Learning How to Learn were the six major categories explored.
CONCLUSIONS: This content validated tool can help educators (teachers, trainers and tutors) to identify and improve the strategies to support students' learning capability, which could increase their awareness of and/or responsibility in the learning process.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  Delphi technique; consensus; deep learning; meaningful learning; measurement; nursing; significant learning

Mesh:

Year:  2017        PMID: 28181268     DOI: 10.1111/jan.13273

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  1 in total

1.  Development of a valid and reliable software customization model for SaaS quality through iterative method: perspectives from academia.

Authors:  Abdulrazzaq Qasem Ali; Abu Bakar Md Sultan; Abdul Azim Abd Ghani; Hazura Zulzalil
Journal:  PeerJ Comput Sci       Date:  2020-09-21
  1 in total

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