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

Aparicio, Fernando; Morales-Botello, María Luz; Alonso, Margarita Rubio; Hernando, Asunción; Muñoz, Rafael Domínguez; López-Fernández, Hugo; Glez-Peña, Daniel; Fdez-Riverola, Florentino; Villa, Miguel; Maña, Manuel J.; Gachet, Diego; Rodríguez, Manuel de Buenaga

doi:10.1016/j.ijmedinf.2017.12.016

Cited by 30 publications

(20 citation statements)

References 34 publications

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“…However, some studies were difficult to classify, due to their specific and unique functions; helping to organise online learning groups with similar interests (Yang, Wang, Shen, & Han, 2007), supporting business decisions through simulation (Ben-Zvi, 2012), or supporting changes in attitude and behaviour for patients with Anorexia Nervosa, through embodied conversational agents (Sebastian & Richards, 2017). 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.…”

Section: Assessment and Evaluationmentioning

confidence: 99%

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Zawacki‐Richter

Marín

Bond

et al. 2019

Int J Educ Technol High Educ

1,296

468

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According to various international reports, Artificial Intelligence in Education (AIEd) is one of the currently emerging fields in educational technology. Whilst it has been around for about 30 years, it is still unclear for educators how to make pedagogical advantage of it on a broader scale, and how it can actually impact meaningfully on teaching and learning in higher education. This paper seeks to provide an overview of research on AI applications in higher education through a systematic review. Out of 2656 initially identified publications for the period between 2007 and 2018, 146 articles were included for final synthesis, according to explicit inclusion and exclusion criteria. The descriptive results show that most of the disciplines involved in AIEd papers come from Computer Science and STEM, and that quantitative methods were the most frequently used in empirical studies. The synthesis of results presents four areas of AIEd applications in academic support services, and institutional and administrative services: 1. profiling and prediction, 2. assessment and evaluation, 3. adaptive systems and personalisation, and 4. intelligent tutoring systems. The conclusions reflect on the almost lack of critical reflection of challenges and risks of AIEd, the weak connection to theoretical pedagogical perspectives, and the need for further exploration of ethical and educational approaches in the application of AIEd in higher education.

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Section: Assessment and Evaluationmentioning

confidence: 99%

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Zawacki‐Richter

Marín

Bond

et al. 2019

Int J Educ Technol High Educ

1,296

468

View full text Add to dashboard Cite

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“…Aparicio et al presented through the experiment that the intelligent information access systems are useful to evaluate the teachers' perceptions regarding the utility of these systems in learning activities. And teachers clearly realized the potential applicability of incorporation of these systems into learning activities in both the preparation and the effective use of these activities in the classroom (Aparicio, 2018). Literatures (Kim, Soyata & Behnagh, 2018;Jin & Zhong, 2019;Zhu, Cui & Liu, 2018) focus on the intelligent learning environment, introduce the practical experience, effectiveness of the smart classroom in higher education as well as the design and application of using models, and discuss the current issues and the future direction of intelligent classroom.…”

Section: Related Workmentioning

confidence: 99%

A Study of College English Culture Intelligence-Aided Teaching System and Teaching Pattern

Cao¹,

Li²,

Jun³

2020

ELT

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College English teaching is supposed to cover both language acquisition and culture learning due to the close relationship between language and culture, taking cultural teaching as an indispensible part of college English courses. With the rapid integration of information technology and English curriculum, artificial intelligence has brought new opportunities to college English teaching, and college English cultural teaching methods are now faced with new innovations. In the age of intelligence, to promote teaching quality and learning effect, artificial intelligence technology can be embedded in English teaching practice, exerting its technical advantages and frontier characteristics. In consideration of integrated developing tendency of college English cultural teaching model and modern information technology, the paper is aimed to design and build up an intelligence-aided system so as to extend the depth and width of the application of modern information technology in college English cultural teaching as well as to exploit the great application potential of modern information technology in college English cultural teaching, thus opening a new way and presenting a direction for college English cultural teaching.

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“…Hasil penelitian menunjukkan bahwa pengelolaan yang dilakukan secara bersama-sama, dapat meminimalisir hambatan sosial dan budaya tradisional terhadap akses informasi, dan faktor sosial, budaya, dan ekonomi tetap penting untuk menyusun pertukaran pengetahuan antar anggota kelompok. Penelitian lainnya terkait akses informasi dilakukan oleh Aparacio, et al pada tahun 2018 menunjukkan bahwa adanya integrasi sumber informasi yang baik dengan penggunaan bahasa yang berbeda, dan penjelasan yang akurat sangat bermanfaat dalam keberlangsungan kegiatan pembelajaran (Aparicio et al, 2018).…”

Section: Pendahuluanunclassified

Optimasi Pola Pengasuhan Digital dalam Pemenuhan Kebutuhan Informasi

Pratiwi

Indrayani

Amalia

2020

Exp

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<p class="MediumShading1-Accent11"><em>The implementation of parenting uses digital content to become the major source to gather information, in particular, parents these days. Digital parenting appears not only to provide the information that parents need but also to acknowledge about parenting through digital media. Moreover, the information is enlightenment and experienced by other parents so that it helps to use digital media. This paper examines the effect of digital parenting optimization and the fulfilment information need by the parents. This explanatory quantitative study was conducted with 100 parents that joined the parenting community and practiced the parenting pattern with a digital media platform to access the information. Furthermore, this study applied the purposive sampling technique. Data analyzing technique is to test the hypothesis with the simple linear regression model. The result of this study shows that the relation between digital parenting and fulfilment information need by the parents is significantly correlated. Also, the value of the correlation coefficient in the medium range is R =04,16 influence to the low range (0.173). Eventually, to fulfil the information for the parent need is not only gain by digital access. </em></p>

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

Cited by 30 publications

References 34 publications

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

A Study of College English Culture Intelligence-Aided Teaching System and Teaching Pattern

Optimasi Pola Pengasuhan Digital dalam Pemenuhan Kebutuhan Informasi

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