Multiple Intelligences Research Articles

Elaborating ethnobotanical knowledge of bael (Aegle marmelos (L.) Corrêa) in augmented reality-based learning media with a STEM approach to increase students' naturalist intelligence

Elaborating ethnobotanical knowledge of bael (Aegle marmelos (L.) Corrêa) in augmented reality-based learning media with a STEM approach to increase students' naturalist intelligence

Soft skills and learning methods for 21st-century project management: a review

This article addresses a prominent gap in the literature by investigating the crucial soft skills required by project management students, graduates, and new practitioners entering the contemporary workforce. The literature review study adopts a concept-centric approach to examine the essential soft skills and effective learning methods for new project managers in the 21st century. Five essential 21st-century project management soft skills (communication, leadership, interpersonal, teamwork and emotional intelligence) were identified, along with three learning methods (experiential, active and reflective) that can be used to develop them. The implications of this research extend to project management students, graduates, and educators alike, emphasising the importance of nurturing the identified soft skills. As the project management domain evolves, the findings highlight the need for an education that prioritises hands-on learning and reflective practices, enabling emerging project managers to excel in their roles and drive project success.

Life Skills and their Relationship to Multiple Intelligences among Female Students of the College of Science and Humanities in Huraymila

Life Skills and their Relationship to Multiple Intelligences among Female Students of the College of Science and Humanities in Huraymila

Evaluation and Improvement of College Dance Course Based on Multiple Intelligences Theory

Based on the theory of multiple intelligences, this paper discusses the methods and strategies for the evaluation and improvement of college dance courses. Firstly, this paper introduces the concept and development of multiple intelligence theory and emphasizes its complement and perfection to traditional intelligence theory. Then, it analyzes the problems and shortcomings of current college dance courses, including overemphasis on skill training and single evaluation criteria. Then, it puts forward the curriculum evaluation index based on the theory of multiple intelligences, including the evaluation of students’ multiple intelligences development and the evaluation of curriculum design and teaching methods. At the same time, curriculum evaluation tools and methods are discussed, such as questionnaire survey, observation record, learning achievement display and student self-rating. In the aspect of curriculum improvement and perfection strategy, it emphasizes the application of multiple intelligence theory, interdisciplinary integration and the introduction of scientific and technological means. In terms of curriculum implementation and effect evaluation, the importance of students’ comprehensive intelligent evaluation and students’ feedback is emphasized. Finally, the paper summarizes the practical value of the evaluation and improvement of college dance courses based on the theory of multiple intelligences and looks forward to the future research direction and prospects.

Application of Machine Learning Methods in Predicting Lysine-specific Histone Demethylase 1 (LSD1) Inhibitors

Background: Lysine-specific histone demethylase 1 (LSD1) is a well-known anti-cancer target for drug discovery. Novel reversible inhibitors of LSD1 are desirable to be developed. Objective: This study aimed to build reliable predictive models to evaluate the antineoplastic efficacy of compounds and reveal the structural foundation underlying the inhibitory activity of LSD1. Methods: Multiple artificial intelligence algorithms were utilized in the development of quantitative structure-activity relationship (QSAR) models. A dataset comprising 915 compounds with welldefined IC50 values against LSD1 was assembled for analysis. The structures of these compounds were described by different descriptor packages. Principal component analysis (PCA) was performed to explore the chemical space distribution of each dataset. Y-randomization test and applicability domain (AD) analysis were deployed to validate the reliability of models. Results: For regression models, a consensus model was constructed by integrating the predictions of four top-performing individual models (SVM_ECFP4, RFR_PyDescriptor, RFR_RDKIT, and TRANSNNI), resulting in enhanced predictive performance as compared to the individual models. The consensus model achieved a determination coefficient (r2, for the test set) value of 0.82. For classification models, the consensus model was derived from the amalgamation of three individual models (ASNN_RDKIT, ASNN_ECFP4, and RFR_ECFP4), and the overall prediction accuracy of the model was 0.96 for external validation. Conclusion: The reliable models could be used to identify highly active LSD1 inhibitors for the purpose of efficient virtual screening. In addition, the important molecular properties and structural fragments derived from this work can provide guidance for the structural optimization of novel LSD1 inhibitors.

Path Analysis of Factors Influencing Multiple Intelligences of Malaysian Medical Students: A Multi-institutional Study

The Multiple Intelligences (MI) Theory by Howard Gardner emphasises that individuals have a unique blend of “capabilities” (“intelligences”), differing significantly from the traditional concept of intelligence measured by conventional intelligence quotient (IQ) tests. This cross-sectional, multiinstitutional study aimed to compare the MI of medical students from three Malaysian medical schools, investigate the effects of demographic factors on the MI of students with diverse cultural and socio-economic backgrounds, and examine the effects of MI on academic performance. The MI Inventory was used to assess the MI of medical students. Path analysis was carried out using the SmartPLS software version 2.0. Inter-institutional differences in MI were observed among the students. University A students (53.51 ± 21.99) scored significantly higher than University B students (46.70 ± 20.34) in the naturalist domain (p = 0.05). University A students also scored significantly higher (58.35 ± 21.30) than University B (50.26 ± 19.49; p = 0.014) and University C students (46.90 ± 21.58; p = 0.008) in the musical/rhythmic domain. In the verbal/linguistic domain, University A students (47.94 ± 21.06) scored significantly higher than University C students (39.05 ± 19.23; p = 0.05). Path analysis highlighted a statistically significant effect of family income on the musical intelligence (β = 0.220, t = 2.005, p < 0.05), a domain closely related to verbal/linguistic intelligence. Students from all three medical schools consistently achieved the lowest score in the verbal/linguistic domain and the highest score in the intrapersonal intelligence domain. These findings suggest the need for interventions to enhance language proficiency among medical students. Emphasising MI would make medical education more comprehensive, ultimately enhancing learning in their academic pursuit.

보드게임 활동이 초등학생의 다중지능 향상에 미치는 효과분석

The education of elementary school students promotes the overall development of children and induces a positive attitude toward learning. Board games that stimulate interest and motivation in learning have been widely used in recent years. In this study, a program is implemented for elementary school students attending after-school care centers to explore the effects on multiple intelligence using board games. As a result of verifying whether there is a difference in multiple intelligence between the experimental group and the control group after the board game, all areas were improved. However, in music intelligence and physical exercise intelligence, the improvement effect of the control group appeared. Therefore, other factors other than the effect of the board game must have worked. In other areas, there was a statistically significant difference between the two groups, demonstrating improved effectiveness through board game activities. In addition, by confirming that it is effective in maintaining and improving the strength intelligence in the experimental group, this study provides implications for the use of board games as a learning tool that induces children's interest and fun in the future.

Integrating Howard Gardner’s Multiple Intelligences in Islamic Education: A Systematic Review of Indonesian Practices

This study aimed to collect and analyze articles related to Howard Gardner’s Multiple Intelligences theory and its implementation in Islamic education in Indonesia, as well as to identify research gaps. The method used was a Systematic Literature Review (SLR) with meta-synthesis data analysis techniques. The selected articles were published between 2016 and 2024 and chosen as the subjects of the study. These articles were gathered through search engines such as Google Scholar, Scopus.com, and Elicit.ai. The data analysis techniques employed were both quantitative and qualitative. The analysis results indicated that the implementation of Multiple Intelligences in Islamic Religious Education (PAI) teaching successfully improved student achievement and encourages teachers to teach creatively, using methods such as demonstrations, role-playing, the use of ICT, outdoor learning, and student motivation. Additionally, this implementation fosters critical thinking, problem-solving learning, creative thinking, and communicative learning. The implementation of Multiple Intelligences in PAI also aligned with the concept of fitrah. Further research is recommended to broadly review the implementation of Multiple Intelligences in Islamic education.

The Theory of Multiple Intelligences and the Reggio Emilia Approach®’s Effectiveness in International Institutions of Early Childhood Education in Dubai

This paper investigates the theory of Multiple Intelligence and the Reggio Emilia’s effectiveness in international institutions of Early Childhood Education in Dubai. The goal is to see if the combination of the two groundbreaking hypothesis can indeed help educators implement and use the combination of the two assist with the very sensitive topic of education at early stages. This paper assumes if used in a proper and careful manner the implementation of the multiple intelligence and Reggio Emilia can indeed be effective and assist children and educators alike.

Exploring Effective Paths for Artificial Intelligence to Empower Freshmen's Autonomous English Learning in an “Internet Plus” Environment

In the environment of "Internet plus", the combination of artificial intelligence technology and education has broken the time and space limitations of autonomous learning, subversively changed the way students learn, and brought more possibilities and challenges to both teachers' "teaching" and students' "learning". It brings more possibilities and challenges for both teachers' "teaching" and students' "learning". This study takes the freshmen non-English majors of Beijing Institute of Petrochemical Technology as the research object, based on the multiple intelligences theory and the constructivist learning theory, investigates the status and ability of freshmen's autonomous learning of English in the context of the era of "Internet plus", and explores the effects of the learning tools and learning environments supported by the new technology of artificial intelligence on students’ autonomous learning ability and learning effect. It explores the impact of learning tools and learning environment supported by the new technology of artificial intelligence on students’ autonomous learning ability and learning effect, so as to further explore the effective path to improve students' English autonomous learning ability. It provides empirical data support and suggestions for autonomous learning research and university English teaching, and facilitates teachers to make scientific adjustments in the selection of teaching content, monitoring of teaching platforms, design of teaching activities, and application of teaching methods to promote the improvement of students' autonomous learning ability, and at the same time, it also helps students to identify their problems in autonomous learning, find effective paths to solve the problems, and improve their learning efficiency.

TEACHING INFORMATION LITERACY: EFFECTIVE STRATEGIES

Being information literate is crucial for today's pupils if they are to become tomorrow's self-directed learners and innovative employees. Current information literacy (IL) pedagogical practices, however, have not necessarily been effective in providing students with the tools necessary for thorough research and memory recall. Therefore, effective instructional strategies are of utmost importance in IL education. The working hypothesis of this study is that students will have an easier time learning IL skills if they are able to include their interests—which are influenced by their dominant intelligences—into their coursework. As a result, the quality of their work would improve. Using a well-established educational approach—Gardner's idea of multiple intelligences—a course was developed to provide students with the IL skills they would need to test these postulates via project work. What followed was a comparison of the two groups' project quality: the experimental and control groups. Project results were much better for students who had received IL instruction that included the use of learning styles

Multiple Intelligence

There are maniple ways of learning and there are many of receiving information asl expression ourselves. Careener introduced and also defined different kinds of intelligence. Multiple intelligence box significant relationship with student achievement. Academicwheelmen needs understanding of concepts, remembering and presenting those concepts correctly @rough examinations. For this, rigidness of the curriculum has to be removed.

The Influence and Reasonable Application of ChatGPT to College Students under the Theory of Multiple Intelligences

Nowadays, some problems caused by ChatGPT in education have been widely discussed, but the research on ChatGPT under the theory of multiple intelligences lacks a systematic summary. This essay analyzes the advantages and problems of ChatGPT for college students in different aspects under the theory of multiple intelligences. In this essay, it is concluded that ChatGPT's flexibility is suitable for the differences between various intelligences, and there are significant advantages. However, ChatGPT still has a shortage in the practical aspects of multiple intelligences. Based on this, this essay puts forward the following suggestions- Students can use the advantages of ChatGPT's diverse functions and flexibility in developing multiple intelligences and formulate learning plans suitable for individual needs. Teachers can use ChatGPT to help save time, strengthen the learning of professional knowledge, and improve teaching quality. At the same time, in terms of practice, students and teachers should pay more attention to the deviation between virtual and reality, make reasonable use of ChatGPT to assist learning by cultivating critical thinking and discriminating ability, and promote the all-round development of students through developing the advantages and improve the defects.

PEMBENTUKAN KOMUNITAS PERMAINAN TRADISIONAL DALAM MENINGKATKAN KECERDASAN INTERPERSONAL ANAK USIA SEKOLAH

The excessive use of smartphones for playing online games has a negative impact on school-age children, necessitating an alternative to divert their attention. One effective solution is introducing traditional games, which significantly benefit children's interpersonal intelligence, such as teamwork, expressing opinions, supporting each other, and decision-making. To address this issue, the team conducted a community service program in Kampung Kandungmangu, RT09/RW 03, Cisauk. This program involved 15 school-age children and included presentations, mentoring, implementation, and evaluation. The results of the program showed that participants gained a deeper understanding of traditional games and their benefits. Even after the program ended, the children continued to play traditional games to apply the knowledge and skills they acquired during the program. This indicates that traditional games not only successfully divert attention from online games but also positively contribute to the development of children's interpersonal intelligence.

Teachers’ changing perspectives of their spatial competencies: A case study of professional learning in Singapore

While there is increasing recognition of the role of learning environments for teaching and learning, research on teachers' spatial competency is lacking. Drawing on an in-depth case study approach, this study examined the impact of a professional learning and action research pilot program to enhance teachers' spatial competency in one government secondary school in Singapore. Findings showed that professional learning can improve teacher knowledge, self-efficacy and mind frames towards more agentic and intentional space usage for teaching and learning. This study makes explicit connections about how a multi-layered professional learning program can support the development of teachers’ spatial competency.

Longitudinal evidence for the emergence of multiple intelligences in assistance dog puppies.

Cognitive test batteries suggest that adult dogs have different types of cognitive abilities that vary independently. In the current study, we tested puppies repeatedly over a crucial period of development to explore the timing and rate at which these different cognitive skills develop. Service dog puppies (n = 113), raised using two different socialization strategies, were either tested longitudinally (n =91) or at a single time point (n = 22). Subjects tested longitudinally participated in the battery every two weeks during and just beyond their final period of rapid brain growth (from approximately 8-20 weeks of age). Control puppies only participated in the test battery once, which allowed us to evaluate the impact of repeated testing. In support of the multiple intelligences hypothesis (MIH), cognitive skills emerged at different points across the testing period, not simultaneously. Maturational patterns also varied between cognitive skills, with puppies showing adult-like performance on some tasks only weeks after a skill emerged, while never achieving adult performance in others. Differences in rearing strategy did not lead to differences in developmental patterns while, in some cases, repeated testing did. Overall, our findings provide strong support for the MIH by demonstrating differentiated development across the cognitive abilities tested.

Da Exclusão à Expressão: Arte como Ferramenta de Inclusão e Empoderamento para Alunos com Necessidades Especiais

This study explores the profound relationship between art and inclusion in the education of students with special needs. Art transcends its role as a curricular discipline, becoming a powerful tool for the holistic development and empowerment of these students. By challenging stereotypes and promoting full participation, art offers a space for expression, communication, and learning for all, regardless of their needs. The research highlights the importance of adapting materials, activities, and environments, as well as the ongoing training of teachers, to make art accessible and meaningful for all students. Through flexibility, creativity, and sensitivity, teachers can create a welcoming and stimulating learning environment where every student feels valued and encouraged to explore their creative potential. Theories such as constructivism, the Social Model of Disability, and the Theory of Multiple Intelligences provide a solid theoretical foundation for the construction of inclusive pedagogical practices. The methodology adopted in this study is qualitative bibliographic research, which seeks to analyze and synthesize the knowledge produced on the relationship between art and inclusion in theeducation of students with special needs. The study concludes that art, when used intentionally and adapted, can be a powerful tool for promoting inclusion, holistic development, and empowerment of students with special needs. Art reveals itself as a path towards building a fairer, more equitable, and creative education, where every individual has the opportunity to flourish fully and contribute to the construction of a more humane and supportive world.

Multiple Intelligence in the Teaching and Learning Process: A Study of Howard Gardner's Thought, Challenges and Opportunities

Multiple Intelligence in the Teaching and Learning Process: A Study of Howard Gardner's Thought, Challenges and Opportunities

AI-assisted models to predict chemotherapy drugs modified with C60 fullerene derivatives.

Employing quantitative structure-activity relationship (QSAR)/ quantitative structure-property relationship (QSPR) models, this study explores the application of fullerene derivatives as nanocarriers for breast cancer chemotherapy drugs. Isolated drugs and two drug-fullerene complexes (i.e., drug-pristine C60 fullerene and drug-carboxyfullerene C60-COOH) were investigated with the protein CXCR7 as the molecular docking target. The research involved over 30 drugs and employed Pearson's hard-soft acid-base theory and common QSAR/QSPR descriptors to build predictive models for the docking scores. Energetic descriptors were computed using quantum chemistry at the density functional-based tight binding DFTB3 level. The results indicate that drug-fullerene complexes interact more with CXCR7 than isolated drugs. Specific binding sites were identified, with varying locations for each drug complex. Predictive models, developed using multiple linear regression and IBM Watson artificial intelligence (AI), achieved mean absolute percentage errors below 12%, driven by AI-identified key variables. The predictive models included mainly quantitative descriptors collected from datasets as well as computed ones. In addition, a water-soluble fullerene was used to compare results obtained by DFTB3 with a conventional density functional theory approach. These findings promise to enhance breast cancer chemotherapy by leveraging fullerene-based drug nanocarriers.

Resource allocation in RISs-assisted UAV-enabled MEC network with computation capacity improvement

Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) networks have recently been considered to be a support for ground MEC networks to enhance their computation capability. However, the line-of-sight (LOS) channels between the UAV and Internet of Things (IoT) devices can be interfered by various obstacles, such as trees and buildings, resulting in a considerable reduction in the capacity of MEC networks. To solve this issue, a system that combines multiple reconfigurable intelligence surfaces (RISs) with a UAV-enabled MEC network is proposed in this study. A UAV equipped with edge servers is treated as an aerial computing platform for IoT devices, and multi-RISs are utilized to simultaneously improve the communication quality between enhanced UAV and IoT devices. To maximize the sum computation bits of the system, a problem that jointly optimizes the time slot partition, local computation frequency, transmit power of the devices, UAV receive beamforming vectors, phase shifts of the RISs, and the trajectory of the UAV is formulated. The problem is a typical nonconvex optimization problem; therefore, we propose a recursive algorithm based on the successive convex approximation (SCA) and block coordinate descent (BCD) technology to find an approximate optimal solution. Simulation results demonstrate the effectiveness of the proposed algorithm compared with various benchmark schemes.