Latent class cluster analysis in exploring different profiles of gifted and talented students

Costa, Juan Luís Castejón; Gilar, Raquel; Miñano, Pablo; Parraguez, Marcela

doi:10.1016/j.lindif.2016.08.003

Cited by 28 publications

(10 citation statements)

References 33 publications

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“…Among the sixth grade students, only six of the 11 who were identified as high-ability students also displayed high levels of creativity. Studies carried out with large samples of Spanish students, such as that of Castejón et al (2016) , show how in classrooms, although gifted students are equally categorized, not all of them show the same cognitive-motivational profiles. In this way, there are students who exhibit higher scores on creativity and lower scores on general mental ability or self-regulation learning strategies (the group called by these authors as “creative gifted”) and there are student profiles that do not show special ability in this variable; for example, students called “gifted achievers,” who show high scores in self-regulation learning variables and academic achievement, and lower scores in creativity; or students called “cognitive gifted” who get high scores in general mental ability only.…”

Section: Discussionmentioning

confidence: 99%

Identifying Gifted Children: Congruence among Different IQ Measures

et al. 2017

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This study has two main aims: (1) analysing the relationship between intellectual capacities and levels of creativity in a sample of Spanish students from the third and sixth grades; and (2) examining the discrimination capacities and degree of congruence among different tests of intellectual ability that are commonly used to identify high-ability students. The study sample comprised 236 primary school students. Participants completed different tests of intellectual ability, which were based on both fluid and crystallized intelligence, as well as creativity. Results indicated that it is advisable to use varying tests in the assessment process, and a complementary measure (i.e., creativity) in order to create a multi-criteria means of detection that can more efficiently distinguish this population of students.

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Section: Discussionmentioning

confidence: 99%

Identifying Gifted Children: Congruence among Different IQ Measures

et al. 2017

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“…Our planning included the idea of offering two seminars grounded in honors pedagogy research (for example : Castejón, Miñano & González, 2016;English 2016;Heijne-Penninga & Wolfensberger, 2018;Mihelich, Storrs, & Pellett, 2007;Millward, Wardman, & Rubi-Davies, 2016;Scager, Akkerman, Pilot & Wubbels, 2017;Schutte, 2017;Wolfensberger, 2012). Both seminars aimed to be very interactive and thus limited to twenty-five participants each to allow for dynamic group work, online chat room discussions, and showcasing of work.…”

Section: Methodsmentioning

confidence: 99%

Honors International Faculty Learning Online (HIFLO 2020): A model for honors online professional development

Zubizarreta

Jones

Wolfensberger³

2020

JEHC

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The Spring of 2020 brought many disruptions to our professional and personal lives due to the COVID-19 pandemic that forced worldwide mid-semester campus closures; pivoting of traditional, face-to-face classes to remote teaching and learning; and postponements or cancellations of conferences, workshops, and other professional development events. One example of the breakdown of scheduled opportunities for us as honors colleagues to gather in-person to enhance our practices and strengthen our community was the cancellation of the 2020 International Conference on Talent Development and Honors Education in Groningen, the Netherlands, originally slated for June 10-12 but moved to June 16-18, 2021. Immediately following the 2020 conference, we (the authors) had planned to offer the fifth Honors International Faculty Institute (HIFI), an international and highly interactive occasion for honors and talent development teachers, researchers, and leaders to engage in presentations, experiential activities, place-as-text explorations, collaborative group work, reflective exercises, and showcases designed to improve teaching, learning, and programming in honors. Suddenly, the coronavirus upended our world, and we had to reimagine the institute that we had previously organized four times alternately at Hanze University of Applied Sciences (Netherlands) and Texas Christian University (USA). Putting aside the disappointment of the moment and recognizing the value of coming up with an alternative to HIFI that would ensure the safety and health of our honors colleagues, we decided to create a fully online version with free registration to encourage participation and create resources accessible to all members of our international community. We wanted to highlight the challenges of how all of us unexpectedly had to pivot to remote teaching and learning as the global pandemic intensified, but we also wanted to share information, experiences, and models that could open new avenues for operationalizing online honors education more generally beyond the COVID-19 crisis. We wanted, in other words, to explore how honors pedagogy could (and maybe should) be adapted to the increasingly online world of primary, secondary, and higher education. Thus, HIFLO 2020 was born! HIFLO stands for Honours International Faculty Learning Online.

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“…For example, it depends on the selection of the density threshold. At present, there are many improved grid clustering algorithms, such as bipartite grid clustering, adaptive grid clustering, GCHL, etc [10,11].…”

Section: Gbkm Clustering Analysis Algorithmmentioning

confidence: 99%

Research on the Optimization of International News Communication Teaching Mode Based on Cluster Analysis under the Background of Big Data

Cheng

Zhou

2022

Scientific Programming

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With the rapid development of the Internet, the new and advanced teaching mode is becoming increasingly popular, which has become a focus in the field of education in recent years. Therefore, the research and development of online teaching platforms have become a hot topic. This article takes international news communication as the research background, aiming at the unclear existing level and weak target. The teaching mode of the single teaching form puts forward the “embedded online intelligent teaching platform.” A set of online innovative teaching platforms for large embedded systems is studied and established. The improved clustering analysis uses the GBKM clustering analysis algorithm to integrate grid clustering and K-means clustering and introduces the new meshing algorithm and the new function to calculate the density threshold. Through theoretical analysis and experimental verification, the superiority of the GBKM algorithm is demonstrated. As the GBKM clustering analysis algorithm is the core algorithm of a personalized smart learning system, it is applied to an online intelligent teaching platform. The experimental results show that the teaching effect of the optimized teaching mode is significantly improved.

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Latent class cluster analysis in exploring different profiles of gifted and talented students

Cited by 28 publications

References 33 publications

Identifying Gifted Children: Congruence among Different IQ Measures

Identifying Gifted Children: Congruence among Different IQ Measures

Honors International Faculty Learning Online (HIFLO 2020): A model for honors online professional development

Research on the Optimization of International News Communication Teaching Mode Based on Cluster Analysis under the Background of Big Data

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