Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects
Open accessAbstract
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.
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Aparicio et al. (2018) present a study where no adaptive system application was analysed, rather students' perceptions of the use of information systems in education in general and biomedical education in particular were analysed, including intelligent information access systems.
“Aparicio et al. (2018) present a study where no adaptive system application was analysed, rather students' perceptions of the use of information systems in education in general -and biomedical education in particular -were analysed, including intelligent information access systems.”
From Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019) · cites this paper as Aparicio et al. (2018)
Cites
Savova, G. K., Kipper-Schuler, K. C., Hurdle, J. F., & Meystre, S. M. (2008) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638592 · Cited by 895 · see citing works
Stark, R., Kopp, V., & Fischer, M. R. (2011) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.10.001 · Cited by 154 · see citing works
El Saadawi, G. M., Tseytlin, E., Legowski, E., Jukic, D., Castine, M., Fine, J., Gormley, R., & Crowley, R. S. (2008) · Advances in Health Sciences Education · doi:10.1007/s10459-007-9081-3 · Cited by 48 · see citing works
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Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · see citing works
- Authors
- Aparicio, F., Morales-Botello, M. L., Rubio, M., Hernando, A., Muñoz, R., López-Fernández, H., Glez-Peña, D., Fdez-Riverola, F., de la Villa, M., Maña, M., Gachet, D., & Buenaga, M. D.
- Affiliations
- Universidad Europea de Madrid (ES)
- Universidade de Vigo (ES)
- Universidad de Huelva (ES)
- Corresponding author
- Morales-Botello, María Luz
- ORCID
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 112
- Pages
- 21-33
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2778803536
- Cited by
- 39
- References
- 3
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 6 · 2021: 10 · 2020: 9 · 2019: 2 · 2018: 3
- FWCI
- 7.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Medical Informatics (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- ABACUS. Repositorio de Producción Científica (Universidad Europea) (submittedVersion, other-oa)
- Funders
- Spanish Ministry of Science and Innovation
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- active learning, teacher perceptions, biomedical education, health sciences education, case-based learning, concept maps, cognitive maps, educational data mining, learning analytics, medical terminology, bilingualism, artificial intelligence in education, university teaching
- MeSH terms
- Teacher Training, Education, Medical, Humans, Information Systems, Perception, Surveys and Questionnaires, Universities, Problem-Based Learning, Access to Information
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