Literature DB >> 29500018

Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.

Fernando Aparicio1, María Luz Morales-Botello2, Margarita Rubio3, Asunción Hernando3, Rafael Muñoz1, Hugo López-Fernández4, Daniel Glez-Peña4, Florentino Fdez-Riverola4, Manuel de la Villa5, Manuel Maña5, Diego Gachet1, Manuel de Buenaga1.   

Abstract

BACKGROUND: Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emerging disciplines such as 'educational data mining' and 'learning analytics and knowledge' have provided clear examples of the importance of the use of artificial intelligence techniques in education.
OBJECTIVE: The main objective of this study was to gather expert opinions regarding the benefits of using complementary methods that are supported by intelligent systems, specifically, by intelligent information access systems, when processing texts written in natural language and the benefits of using these methods as companion tools to the learning activities that are employed by biomedical and health sciences teachers.
METHODS: Eleven teachers of degree courses who belonged to the Faculties of Biomedical Sciences (BS) and Health Sciences (HS) of a Spanish university in Madrid were individually interviewed. These interviews were conducted using a mixed methods questionnaire that included 66 predefined close-ended and open-ended questions. In our study, three intelligent information access systems (i.e., BioAnnote, CLEiM and MedCMap) were successfully used to evaluate the teacher's perceptions regarding the utility of these systems and their different methods in learning activities.
RESULTS: All teachers reported using active learning methods in the classroom, most of which were computer programs that were used for initially designing and later executing learning activities. All teachers used case-based learning methods in the classroom, with a specific emphasis on case reports written in Spanish and/or English. In general, few or none of the teachers were familiar with the technical terms related to the technologies used for these activities such as "intelligent systems" or "concept/mental maps". However, they clearly realized the potential applicability of such approaches in both the preparation and the effective use of these activities in the classroom. Specifically, the themes highlighted by a greater number of teachers after analyzing the responses to the open-ended questions were the usefulness of BioAnnote system to provide reliable sources of medical information and the usefulness of the bilingual nature of CLEiM system for learning medical terminology in English.
CONCLUSIONS: Three intelligent information access systems were successfully used to evaluate the teacher's perceptions regarding the utility of these systems in learning activities. The results of this study showed that integration of reliable sources of information, bilingualism and selective annotation of concepts were the most valued features by the teachers, who also considered the incorporation of these systems into learning activities to be potentially very useful. In addition, in the context of our experimental conditions, our work provides useful insights into the way to appropriately integrate this type of intelligent information access systems into learning activities, revealing key themes to consider when developing such approaches.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Bilingualism; Case-based learning (CBL); Concept-based learning; Intelligent information access (IIA) systems; Mixed methods; Teaching/learning strategies

Mesh:

Year:  2017        PMID: 29500018     DOI: 10.1016/j.ijmedinf.2017.12.016

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  2 in total

1.  Artificial Intelligence: A Universal Virtual Tool to Augment Tutoring in Higher Education.

Authors:  K Hemachandran; Priti Verma; Purvi Pareek; Nidhi Arora; Korupalli V Rajesh Kumar; Tariq Ahamed Ahanger; Anil Audumbar Pise; Rajnish Ratna
Journal:  Comput Intell Neurosci       Date:  2022-05-09

2.  Semi-guided learning tool as framework for STEM students learning: A case study for final year projects.

Authors:  María Luz Morales-Botello; Carlos Moreno Martínez
Journal:  Educ Inf Technol (Dordr)       Date:  2022-08-01
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.