多元化德語教／學：以德國環保文化課程為例

In order to confine the full array of abilities and talents that people possess, Gardner theorizes that people do not havejust an intellectual capacity, but have many different kinds of intelligence, including intrapersonal, logicalmathematical, naturalistic, body-kinesthetic, musical, interpersonal, spatial-visual, existential and linguistic intelligences. According to Howard Gardner, people who are musically intelligent have good thinking in patterns, rhythms and sounds. Such entities have a strong appreciation for music and often they are good at musical composition and performance. By keeping in view above facts, this study was designed to identity the types of multiple intelligences among young adolescents along with, to assess the effect of various human ecological factors (as stated by Bronfenbrenner) on Multiple Intelligences of secondary level students. To achieve this aim, standardized Multiple Intelligence Assessment Tool developed by Kaur (2006) was implemented on a sample consisting of 200 students from higher secondary schools of both areas of Mahendergarh (Haryana), i.e., rural and urban. Results revealed that fathers' education and occupation, residence of location and relationship with the peers of the young adolescents were observed to be significantly associated with musical intelligence of the respondents. Other variables had no significant association with the musical intelligence of the young adolescent girls.

The main purpose of the study was to explore the differences of multiple intelligences on junior high school students with different gender, grade, and students’ types. The study adopted survey research design, and the samples including 341 participants from the seventh and the eighth grade junior high school students in Taiwan. The research instrument used in the study was Chinese Version of Multiple Intelligence Developmental Assessment Scales Form-B. All data was analyzed by applying descriptive statistics, and t-test, one-way analysis of variance. The results of the study were as following:(1) Depending on the average scores of multiple intelligences, seventh grade students got the highest scores on interpersonal intelligence, and got the lowest scores on natural intelligences. Eighth grade students got the highest scores on interpersonal intelligence, and got the lowest scores on bodily-kinesthetic intelligences.(2) General students and special needs students got the highest scores on interpersonal intelligence. However, the former got the lowest scores on natural intelligence, and the latter got the lowest scores on logical-mathematical intelligence. Gifted students got the highest scores on logical-mathematical intelligence, and the lowest scores on bodily-kinesthetic intelligence.(3) Seventh grade students significantly got the higher scores than eighth grade students on spatial, music, bodily-kinesthetic, and natural intelligences.(4) Girls significantly got higher grades than boys on linguistic, spatial, music, interpersonal, and existential intelligences. Boys only got higher grades than girls on logical-mathematical intelligence.Gifted students significantly got higher grades than general students and special needs students on linguistic, logic-mathematics, music, intrapersonal, interpersonal intelligences. Gifted students and general students significantly got higher grades than special needs students on spatial, bodily-kinesthetic, and existential intelligences. There was no difference on natural intelligence among gifted students, general students and special needs students.

Multiple intelligences theory offers a framework to understand diverse cognitive abilities beyond traditional IQ. This study aims to explore the multiple intelligences of the main character, James Howard, in George Bamber's radio drama Return to Dust, using Howard Gardner's Multiple Intelligences theory. Employing a qualitative descriptive research design, the study transcribed and classified the character's monologues and dialogues to identify instances of linguistic, mathematic, spatial, kinesthetic, interpersonal, and intrapersonal intelligences. The findings indicate that linguistic and intrapersonal intelligences are the most dominant, each accounting for 25% of the observed intelligences. Spatial and interpersonal intelligences each represent 15%, while mathematic and kinesthetic intelligence accounts for 10%. Naturalistic and musical intelligences were not found in this audio drama. This study shows that the main character uses linguistic intelligence through vivid figurative language, mathematic intelligence through rational thinking, and spatial and kinesthetic intelligence in dealing with physical changes. Interpersonal intelligence is seen from his interactions with other characters, while intrapersonal intelligence is reflected through self-awareness and emotional reflection. This study confirms drama as a medium that depicts diverse cognitive and emotional abilities, expanding the understanding of intelligence in literature

A multitude of strategies are being utilized by the teachers to engage students in the classroom activities and foster critical thinking which can ignite their interest in the lesson. However, very few researches have been conducted on students’ preferences in these different motivational strategies. This cross-sectional survey research explores the preferred motivational strategies in science instruction among 106 high school students in a public secondary school in Zambales, Philippines. The motivational strategies were classified based on Howard Gardner’s theory on multiple intelligences. The study found out that the students moderately preferred visual-auditory (M=2.88), logical-mathematical (M=2.70) and kinesthetic (M=2.60) motivational strategies. Science trivia, picture presentation, and mini labwork are the most common motivational strategies used by Science teachers. The study recommends that teachers may utilize engaging, relevant, and learner-centered motivational strategies to make Science instruction more alive and more effective. The use of varied strategies to arouse students’ interest may also be observed to cater the students’ multiple intelligences.

Types of creativity—Fostering multiple intelligences in design convergence talents

The teacher is the spearhead in developing children's intelligence at school, including social or interpersonal intelligence. Such an assumption motivates the researchers to conduct a study at SMPN 03 Rejang Lebong by applying a qualitative approach. This study draw the following conclusion: first, PAI teachers’ efforts to develop students’ interpersonal intelligence were carried out by managing classroom properly, always giving motivation, using methods which can support the development of students' interpersonal intelligence such as discussions, peer-tutoring, demonstrations, group assignments, and questions and answers. In the meantime, the media used were laptops, posters and textbooks. The inhibiting factors in the process of developing students' interpersonal intelligence were low students’ interest, family environment, and learning hours, while the supporting factors in the process of developing students' interpersonal intelligence were teachers’ motivation, facilities and infrastructure, methods used by teachers in the learning processes, extracurricular, and colleagues.

Artificial Intelligence may be it is branch of computing. The computer science engineering is creating intelligent machines and especially intelligent computer programs. AI could also be how of making a computer. A computer-controlled robot or software thinks intelligently. AI is accomplished by studying the way to think human brain. How humans learn, decide, and work while trying to unravel a haul. We also create intelligent machines. It is often developing human activities. Some human activities are reading, listening, each and are going to be covered. Machine learning, deep learning may be a part of this AI. The AI projects have a machine control and remote. Mostly AI is machine learning. Current status will be there from AI. Feature goals in AI. Computing system study that plan to model and applying human brain. It is a branch of computer simulating a intelligent behavior. The machine capacity is intimate human behavior. The intelligence has some types are going to be there, linguistic intelligence, musical intelligence, logical-mathematical intelligence, spatial intelligence, intra-personal intelligence, interpersonal intelligence. The intelligence composed by reasoning, learning, problem solving, perception, linguistic intelligence and so on. Ability to calculate a system, reasoning, perceives a relationships and analogs, learn from experience. Store and retrieve information from memory. Solving a problems and complex ideas to use tongue fluently classifying. Generalize and adapt new situation

This study was aimed to develop and produce an assessment instrument of mathematical learning results based on multiple intelligence. The methods in this study used Borg & Gall-Research and Development approach (Research & Development). The subject of research was 289 students. The results of research: (1) Result of Aiken Analysis showed 58 valid items were between 0,714 to 0,952. (2) Result of the Exploratory on factor analysis indicated the instrument consist of three factors i.e. mathematical logical intelligence-spatial intelligence-and linguistic intelligence. KMO value was 0.661 df 0.780 sig. 0.000 with valid category. This research succeeded to developing the assessment instrument of mathematical learning results based on multiple intelligence of second grade in elementary school with characteristics of logical intelligence of mathematics, spatial intelligence, and linguistic intelligence.

One of the obstacles experienced by teachers in following curriculum changes from KTSP to the 2013 curriculum is the implementation of learning, especially in applying the models specified in the 2013 curriculum. Ability in the use of methods, models, learning media and the ability to follow curriculum developments in order to improve quality education in Indonesia requires a skill and intelligence. The purpose of this study was to improve mathematical linguistic, spatial, and mathematical logical intelligence as well as to find out the obstacles in improving mathematical logical, linguistic, and spatial intelligence in the STKIP NU Indramayu PGSD students. The method used is a mix method with a sequential explanatory strategy. The instruments used were in the form of questions pretest, posttest and interview guidelines. The subject is the STKIP NU Indramayu PGSD student who took the basic science concept course in the fourth semester of the 2017/2018 academic year. The results of this study are an increase in linguistic and spatial intelligence with a high category, while an increase in mathematical logical intelligence has a medium category. Obstacles experienced by students namely 20 students have difficulty in completing calculation questions, 3 students have difficulty in presenting phenomena by visualizing, 4 students have difficulty identifying from experimental results, 4 Mahasisawa has difficulty in drawing conclusions based on research results, 15 students have difficulty analyzing, 18 students difficulty in predicting.

The concept of e-learning provides more intensive interaction between lecturers and students, students and students, both in the classroom and outside. E-learning can increase student interest in optimizing the potential of multiple intelligences. Incorporating Multiple Intelligences into e-learning strategies provides a level of flexibility in how students can carry out their learning and provide a collaborative and interactive environment. This study aims to analyze student activity in e-learning based on multiple intelligences. The method used is descriptive qualitative by analyzing student activities in e-learning based on the classification of 8 Multiple Intelligences. The results of this study stated the percentage of students based on multiple intelligences obtained the highest percentage value of 38% Naturalist intelligence, 24% Musical intelligence, 17% Visual Spatial intelligence, Logic mathematical intelligence and Interpersonal intelligence 7%, Kinesthetic intelligence 4%, Intrapersonal intelligence 3%, and Linguistic intelligence 0%. Analysis of e-learning activities obtained the highest frequency by visua-spatial intelligence with a percentage of 82%, dominant naturalist intelligence possessed by students in the class has a percentage of 74%, then intrapersonal intelligence as much as 63%, kinestetic intelligence 53%, interpersonal intelligence 47%, musical intelligence 31%, and logic-mathematic intelligence 29%. Because in this class the dominant type of naturalist intelligence, e-learning is declared suitable to be applied because this intelligence is included in the active category of activities in e-learning.

The science laboratory work remains central to any science curriculum, be it indoor or outdoor in location. Of urgent importance for the successful formation of scientific habits of the mind and scientific investigative skills are the multiple intelligences and attitudes students bring to the laboratory. The current model of intelligence popular among science educators is the Multiple Intelligences Theory by Howard Gardner which articulates nine forms that are evident among learners. The naturalistic and spatial intelligences are the main focus of investigation since professional scientists are found to rely heavily on their spatial and naturalistic abilities when coming up with their discoveries. This study therefore investigated the science intelligences of 171 freshmen students in a university that offers academic programs under the health sciences. Notably, majority of the course experience in any health science program is replete with laboratory work. The spatial and naturalistic intelligences of the health sciences students are therefore examined specifically in its relationship to their confidence in performing laboratory activities. Findings suggest that students with highly developed naturalist and spatial intelligences are more confident when performing their laboratory activities.Keywords: Science education, spatial and natural intelligences, confidence, laboratory work, descriptive correlation, Davao City, Philippines

This study aims to: 1) describe the multiple intelligences seen in student activities in the third grade 2013 curriculum; and 2) explain the development of multiple intelligences that have not been seen in student activities in the textbooks for class III students of the 2013 curriculum. The research conducted is included in the type of qualitative research. The data collection method used is literature study and discussion with colleagues. The results of the analysis of the thematic book for class III Objects Around Me 2013 curriculum that aspects of multiple intelligences have not been raised or developed as a whole. This can be seen in sub-theme 1 of intelligence that appears more dominant, namely linguistic intelligence and interpersonal intelligence, while intelligence that is not at all raised is naturalist intelligence. In sub-theme 2, visual-spatial intelligence and interpersonal intelligence are dominantly developed, and musical intelligence is not developed at all. Meanwhile, the 3 intelligence sub-themes that often appear are linguistic intelligence and intrapersonal intelligence, besides that musical intelligence has not yet been raised. And sub-theme 4 has visual-spatial intelligence and interpersonal intelligence that are often raised in student activities, the intelligence that is still lacking and has not been raised is musical intelligence. So that the results of the study can be concluded that in general the activities contained in the class III curriculum 2013 textbooks are able to develop eight intelligences.

This study analyzed the characteristics of multiple intelligence and the levels of academic adjustment for the department and the major among undergraduate students majoring in IT. Seventy freshmen majoring in IT at the department of M, H University participated in this study and the basic major subject required for the department was Computer Language: I-C Language. Eight intelligence areas less controversial in Gardner`s multiple intelligence theory were used; academic adjustment was manipulatively defined as the degree of adjustment for the department and the major among undergraduate students; and pleasure, flow, familiarity and relevance to the major, academic achievement, and major satisfaction were selected as variables through literature review. The undergraduate students majoring in IT showed high levels of interpersonal intelligence and intrapersonal intelligence, with insignificant gender differences. Significant correlations were found between multiple intelligence and academic adjustment. In particular, while pleasure and flow in C programming were found to be at low levels in academic adjustment, the significant correlation between linguistic intelligence in multiple intelligence and flow in C language was a very interesting finding. While significant correlation was not found between multiple intelligence and academic achievement, students who were more highly aware of the relevance to the major and who were more familiar with C language showed higher academic achievement. Lastly, limitations of this study were discussed; on the basis of the results, suggestions were made about prescriptive strategies to improve academic achievement for undergraduate students majoring in IT.

This manuscript explores an innovative vocational education evaluation system designed based on the theory of multiple intelligences. Aimed at enhancing the structure of educational content and training materials, the system's effectiveness is validated through rigorous pre-test and post-test simulations. Results from paired sample t-tests (P<0.05) indicate a significant improvement in students' linguistic intelligence, demonstrating the theory's positive impact on educational outcomes. This study supports the practical application of multiple intelligences theory, offering empirical evidence for future educational reforms and emphasizing the importance of identifying and cultivating diverse intelligences in students to promote their comprehensive development and success.

The aim of this paper is to describe the research results on multiple intelligences in mathematics learning, using a descriptive approach. It also ascertains the influence of various learning models on mathematics learning outcomes based on students’ multiple intelligences. Student Teams-Achievement Divisions (STAD) and Team Games Tournament (TGT) learning models improved learning outcomes for students possessing logical-mathematical, kinesthetic, and interpersonal intelligences. Furthermore, Group Investigation (GI) and Numbered Head Together (NHT) learning models improved student learning outcomes with logical-mathematical intelligence. Two Stay Two Stray (TSTS) learning model with peer tutors improved student learning outcomes with linguistic, logical-mathematical, and interpersonal intelligences. Team Assisted Individualization (TAI) and Jigsaw learning improved student learning outcomes with linguistic intelligence. Also, TSTS and NHT learning models improved student learning outcomes with logical-mathematical, and interpersonal intelligences. Keywords: compound intelligence, learning model, mathematics