Discussion of Teaching With Multiple Intelligences to Corporate Employees' Learning Achievement and Learning Motivation

The effects of multiple intelligence based reading tasks on EFL students reading skills achievements: The case of university students in Ethiopia

The main purpose of the study was to investigate the effectiveness of multiple intelligence-based tasks (MIBT) in improving university students reading skills and achievements. It employed a quasi-experimental design that primarily relies on a quantitative approach. Accordingly, a total of 60 students, who were selected purposefully, participated in the study as treatment and comparison groups. The experimental process was carried out with reading tasks that were designed in light of a model for teaching the skills using multiple intelligence-driven tasks. The treatment was provided for 12 weeks, in which three lessons were conducted per week. For similar weeks, the comparison group also attended lessons but followed the conventional approach of teaching reading skills. Quantitative methods were employed to analyze the data collected through tests. Specifically, T-tests were used to generate the output for the findings. Prior to analysis, a data normality check was carried out using Shapiro-Wilk tests, and a p value of .05 was used to determine the level of significance. It was found that multiple intelligence-based reading tasks brought a significant difference in the students' higher and lower levels of reading achievements compared to the conventional methods, with the effect size value ranging from moderate for reading aspects (i.e., reading for main ideas and understanding references) to strong for reading aspects (i.e., reading for details, guessing vocabulary, and inferring meanings from a text). The findings suggest that university teachers should use multiple intelligence-driven reading tasks to raise the comprehension levels of struggling readers in the context of the study.

Teaching the Turkish language to foreigners at higher education level in Northern Cyprus: An evaluation based on self-perceived dominant intelligence types, twenty-first-century skills and learning technologies

Introduction

There are many foreign students in higher education in Northern Cyprus. Both the academic and life skills of these students depend on attaching the necessary importance to their Turkish language teaching. The goal of this study is to examine how university students employ learning technology, twenty-first-century abilities, and perceived categories of intelligence in the process of learning a foreign language.

Methods

In line with the quantitative research design, this study utilized a descriptive approach. Purposeful and convenience sampling methods were used to create the study sample. As a result, the institution in Northern Cyprus with the largest international student body was chosen. At this university, one of the authors of this study has been employed, and Turkish is the language of teaching. The study sample consisted of 431 university students who took Turkish as a foreign language in the 2021-2022 academic year at the selected university.

Results

The results of the study revealed a weak yet statistically significant correlation between twenty-first-century skills and usage of foreign language-learning technologies. Additionally, students' twenty-first-century skill scores differed significantly, whereas their foreign language-learning technology scale scores did not match their self-perceived intelligence types.

Conclusion

The research's findings indicate that students in higher education possess twenty-first-century skills. Based on this finding, it is possible to engage students in the courses and accomplish effective foreign language acquisition if foreign language education is carried out in accordance with modern methodologies and based on twenty-first-century abilities. It has been revealed in this study that it is important to include social learning rather than individual and competitive learning in foreign language education classes.

Multiple Intelligence Informed Resources for Addressing Sustainable Development Goals in Management Engineering

The competence-based model focuses on acquiring skills and abilities, yet each student’s individual circumstances condition the way in which they learn, develop, and implement them. Accordingly, there is a growing interest in defining learning activities that consider the diverse range of intelligences, abilities, and prevailing mindsets in each individual in order to promote inclusive education and sustainable development. This article seeks to design a methodology for the teaching–learning resources associated with the nature of the prevailing intelligence in the competence-based model. Thus, the “competence-intelligence-resource triangle” was proposed for promoting inclusive education in the degree in Management Engineering at the University of the Basque Country (UPV/EHU). A total of 99 teaching–learning resources, 11 competences, and 9 types of intelligence were combined. As far as the multiple intelligence approach is concerned, the 50 students surveyed prioritized logical–mathematical, interpersonal, intrapersonal, linguistic, and spatial intelligences. As a conclusion, the use of teaching–learning resources designed for promoting different types of intelligence in the competence-based model constitutes an adaptive strategy for the students to successfully acquire competences.