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The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue 11
Exploring Multiple Intelligences
Fang-Mei Tai, National Penghu University of Science and Technology, Taiwan
ABSTRACT
Researchers discovered a significant positive relationship between GPAs (or academic achievement)
and Multiple Intelligences. This study was designed to explore traditional and adult students’ perceptions
regarding Gardner’s seven multiple intelligences and attempted to address if there are correlations
bivariating existing between any two of intellectual perceptions of the students. The SPSS was used to
analyze the data obtained from this study. t tests for independent means revealed significantly difference
in multiple intelligence predominance ( p < .05 ) between traditional students and adult students. The
composite means and standard deviations for ranking the multiple intelligences were presented. The cor-
relation existing in the perceptions, i.e., the verbal-linguistic and other intelligences of traditional and
adult students from the randomly selected FCU by Pearson Correlation was also applied. The findings
provide the students to find what their multiple intelligences are and thereby to develop their second ma-
jor/minor to reach their academic achievement and indirectly to contribute teachers adjusting curriculum
by the measurement, Checklisting My Strengths. The results also aid the students of other departments of
the University, Mathematic or Architecture Dept., to investigate and develop their minor or career de-
signing by the same way applied by this study in the challenging, innovative, and diversified society. It is
with significant educational function and meaning insights outside of the immediate context considered in
the paper.
Keywords: Adult students, Multiple Intelligences, Curriculum, Minor Development
INTRODUCTION
Howard Gardner introduced Multiple Intelligences theory in his 1983 book, Frames of Mind, pro-
posing that there are several independent ability areas. From then on many researchers have still inter-
ested in his theory of MI as the follows:
Green & et. al. (2005) stated that MI theory can and should be applied in the context of organiza-
tional teams, i.e., using individuals' multiple intelligences (Gardner MI) to enhance contributions to the
team and organizational productivity. O'Halloran (2003) also investigated the use of Howard Gardner's
theory of multiple intelligences in hospitality education and found the need for teaching to consider vis-
ual-spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal and naturalist factors and which
would have an enhancement of hospitality instruction. In 2010 Glenn discovered a significant relationship
between the variables of GPAs and Multiple Intelligences and future academic achievement would be
positive.
Roscoe (2001) introduced his "self-development book", a very much "work book", on multiple in-
telligences and appealed that managers reviewing their intelligences in their work context and then apply-
ing them to their staff. Also in 2011Al-Wadi investigated teachers' perceptions toward enhancing learning
and found the effects of multiple intelligences theory on elementary students’ academic achievement.
Fashun (2012) adapted the Theory of Multiple Intelligences to the instrumental rehearsal for developing
musicianship from the podium. Roberts (2010) demonstrated the benefits of including Multiple Intelli-
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue12
gences protocol in standard school curriculum and the study disclosed how dance, as a component of MI
(kinesthetic bodily movement), can selectively be used to reduce academic stressors as learning in a
healthy environment has been displaced with the preoccupation of standardized tests or non-fixed stan-
dard curriculums in daily instruction. Furthermore, in 2012, in Sulim’s paper, Gardner's theory of Multi-
ple Intelligence was used conducting an experimental study and the author insisted the teaching strategies
should be rearranged according to the student's order of these types of MI.
Normally, people would like to understand their own multiple intelligences and students could pre-
pare career plan to reach their fullest potential accordingly; hence, this study was to investigate a sample
of 174 under-graduates through Gardner's SEVEN Multiple Intelligences.
Purpose of the Measurement This measurement was conducted to determine and to recognize if any correlations bivariating exist
be-tween the multiple intelligences perceptions of traditional English Dept FCU Students and English
Dept Adult Education FCU Students. Information that emerges from the present study may: ● help understand what FCU students their multiple intelligences are.
● serve as a guide for students in designing learning experiences, setting future goal and career plan or
de-veloping second major/minor, or diversified learning to achieve high academic expectations and en-
cour-agement. ● help teacher adjust curricula in order to promote students to reach their fullest potential to meet educa-
tional objectives. ● provide students of other departments of university, e. g. mathematic, music, architecture, or special
edu-cation program, etc. also explore and develop their minor or career designing by the same way of
this study.
The following research questions guided the study of this part.
1. What are the most predominant multiple intelligences of English Dept FCU students?
2. What are the most predominant multiple intelligences of English Dept Adult Education FCU students?
3. What differences in multiple intelligences perception exist between English Dept FCU students and
English Dept adult education FCU students?
4. Are there Correlations bivariating existing in the multiple intellectual perceptions of English Dept FCU
students?
5. Are there Correlations bivariating existing in the multiple intellectual perceptions of English Dept adult
education FCU students?
LITERATURE AND RESEARCH
Overview of the Multiple Intelligences Theory Everyone possesses unique and diverse gifts and talents and has different intelligences that contrib-
ute to the whole school. Gardner’s “Frames of Mind (1983)”, with its Theory of Multiple Intelligences
(MI), sparked a revolution of sorts in classrooms around the world and has had a major impact on the
perception of human intelligence; i.e., the human ability to solve problems (Checkley, 1997). According
to empirical evidence, the theory states that the human brain is modular and that all humans possess at
least seven intelligences: verbal/ linguistic, visual-spatial, musical, intra-personal, interpersonal, logical-
mathematical, and bodily-kinesthetic. Traditionally, intelligence tests depend almost entirely on the ver-
bal/ linguistic and logical/ mathematical intelligences and have often missed the talents, gifts, and abilities
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue 13
of the many students who are stronger in the other six. Gardner (1996) proposed that “only if we recog-
nize multiple intelligences can we reach more students, and give those students the opportunity to demon-
strate what they have understood” (p. 3). And a better understanding how students learn would be made
through addressing the existence of the intelligences.
The instrument entitled, Checklisting My Strengths, is based on the following: Verbal-Linguistic Intelligence (Teele, 1996). Linguistic intelligence is the ability to think in words
and to use language to express and appreciate complex meanings. This intelligence allows us to under-
stand the order and meaning of words and to apply metalinguistic skills to reflect on our use of language.
Carter (2000) stated that “the latest brain scans reveal our thoughts, moods and memories as clearly as an
X-ray reveals our bones; we can watch the language areas sparkling as they grapple with new words. The
intelligence is the most widely shared human competence and is evident in posts, novelists, journalists,
and effective public speaker.”
Visual-Spatial Intelligence. The intelligence is the ability to think in three dimensions. Core ca-
pacities include mental imagery, spatial reasoning, image manipulation, graphic and artistic skills, and an
active imagination. Sailors, pilots, sculptors, painters, and architects all exhibit spatial intelligence.
Intrapersonal Intelligence. It is the capacity to understand oneself and one’s thoughts and feelings
and to use such knowledge in planning and directing one’s life. This intelligence involves not only an
appreciation of the self, but also of the human condition. It is evident in psychologists, spiritual leaders,
and philosophers.
Interpersonal Intelligence. This intelligence is the ability to understand and interact effectively
with others. It involves effective verbal and nonverbal communication, the ability to note distinctions
among others, a sensitivity to the moods and temperaments of others, and the ability to entertain multiple
perspectives. Teachers, social workers, actors, and politicians all exhibit interpersonal intelligence.
Logical-Mathematical Intelligence. It is the ability to calculate, quantify, consider propositions
and hypotheses, and carry out complex mathematical operations. It enables us to perceive relationships
and connections and to use abstract, symbolic thought; sequential reasoning skills; and inductive and de-
ductive thinking patterns. Logical intelligence is usually well developed in mathematicians, scientists, and
detectives.
Musical Intelligence. It is the capacity to discern pitch, rhythm, timbre, and tone. This intelligence
enables us to recognize, create, reproduce, and reflect on music, as demonstrated by composers, conduc-
tors, musicians, vocalists, and sensitive listeners. Interestingly, there is often an affective connection be-
tween music and the emotions; and mathematical and musical intelligences may share common thinking
processes.
Bodily-Kinesthetic Intelligence. It is the capacity to manipulate objects and use a variety of physi-
cal skills. This intelligence also involves a sense of timing and the perfection of skills through mind-body
union. Athletes, dancers, surgeons, and craftspeople exhibit well-developed bodily-kinesthetic intelli-
gence.
METHODOLOGY
Conceptual Framework and Theory The overall framework that surrounds this paper includes exploring the multiple intelligences, the
differences between, and the correlations bivariating existing between any two of multiple intelligences.
Various techniques could also be employed to determine the applicability of each analysis.
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue14
Research and Design
There was no single research and design encompassing the overall structure of the paper, rather
multiple intelligences in variable structure was explored from students’ perspectives. Importance was
placed upon finding the correlations bivariating existing between any two of multiple intelligences, data
analysis, data collection, or object grouping.
Population and Sample
The population for this study included all full-time traditional and non-traditional (adult) students at
universities of higher education with extension courses (adult education) in Taiwan. A list of all higher
education universites was provided through Minister of Education of R.O.C. (2013). The area located in
Middle Area of Taiwan was randomly chosen. Each university in this area was numbered in alphabetical
order and a table of random numbers was used to select one. Two classes of traditional (ninety-five) and
two classes of nontraditional in adult education (seventy-nine) English Department students from Feng
Chia University (FCU) were randomly selected to participate in the study. Therefore, the sample con-
sisted of 174 traditional and nontraditional students respectively from English Department and Adult
Education of English Department of FCU, which is a key comprehensive university Taiwan, completed
the Checklisting My Strengths (Questionnaire).
INSTRUMENTATION
The survey instruments (see Appendix) used to collect data for the study were based on the theory
of Gardner’s Multiple Intelligences and adapted from the Drs. Milne (1999) and Kasen consists thirty five
items randomly arranged to cover seven multiple intelligences: verbal-linguistic, logical-mathematical,
bodily-kinesthetic, interpersonal, intrapersonal, musical, visual-spatial intelligences. Responses were ob-
tained on a ten-point scale ranging from low 1, 2, … to high 9, 0. Scores were ranked from 1 to 10 after
transferring each score, added up each category and then multiplied by two (2) to get a categorical score,
with the higher score indicating higher agreement with the statement. Validity was assured through the
literature review and a critical review of the instrument and greater reliability of results also was provided.
Checklisting My Strengths Questionnaire. The instrument consists of two parts. The part 1 related
to students’ demographic characteristics and included items concerning students’ gender, age, years of
learning EFL experience, grade, major department, and institution. Part 2 consists of thirty five items
which measures respondents’ perceptions regarding their predominant multiple intelligence within vari-
ous aspects of the MIs.
Translation Procedures for the Instrumentation It was necessary to translate the Checklisting My Strengths into Chinese for students. Although the
questionnaires were to be completed by English Dept., Chinese translations would assure better under-
standing by student participants which should provide greater reliability and validity of results. Transla-
tion of the Checklisting My Strengths was conducted by the researcher and three Taiwanese graduate stu-
dents at the National Chung-Hsing University, with the assistance from Dr. Mark Baron, who cleared
doubts about some of the terminology and meanings in the English version of the instrument.
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue 15
Data Collection The survey was administered to ninety-five full-time traditional and seventy-nine adult students at
FCU, a university of higher education with extension courses in Taiwan randomly selected to participate in the study. Before the distribution, the English Department Chairperson of FCU and the chief of Adult Education of the same university were contacted personally requesting permission to conduct the study at their university. One hundred cover letter and questionnaires were mail delivered to the two classes of traditional and eighty to the two classes of English Department adult education of FCU. The English De-partment chairperson/chief or assistant delivered the questionnaires to the mailbox of each teacher of the four classes selected to participate in the study. Traditional and adult students’ questionnaires were dis-tributed and collected within sealed envelopes by each teacher. Questionnaires were returned directly to the teacher who then returned them to the English Department chairperson/chief. Two weeks follows the distribution of questionnaires, the data collecting period ended. Six empty questionnaires were sent back and there were 174 valid ones. The rate of return was 96.6%. Data Analysis
Research questions one, and two were answered by computing composite means and standard de-viations for each of the seven multiple intelligence perception. Research question three was answered by comparing composite response means of traditional English Dept. students with those of adult education FCU students for each intelligence perception using t tests for independent means. Research questions four and five were answered by using Pearson correlation coefficients. All inferential statistics used the .05 level of significance.
RESULTS
Multiple Intelligences Perception of English Department FCU students
The composite means and standard deviations for English Department FCU students’ predominant multiple intelligences are presented in Table 1. Of the seven multiple intelligences, students most per-ceived the linguistic ( M =72.99 ) and intrapersonal ( M = 72.95 ) intelligences. Musical ( M = 52.70 ) and kinesthetic ( M = 59.94 ) intelligences were perceived least by the English Department FCU students as shown in Table 1.
Table 1: Multiple Intelligences Perceptions of English Department FCU Students
Intelligence Mean S. D. Rank Linguistic 72.99 15.07 1
Intrapersonal 72.95 15.46 2 Interpersonal 68.86 14.82 3
Spatial 64.59 13.94 4 Mathematical 62.51 14.38 5 Kinesthetic 61.31 13.91 6
Musical 59.94 15.96 7 N=95
Multiple Intelligences Perception of English Dept Adult Education FCU Students
The composite means and standard deviations for English Dept Adult Education FCU students’ predominant MIs are presented in Table 2. Of the seven multiple intelligences, students also indicated the greatest perception for the linguistic ( M = 75.50 ) followed by intrapersonal ( M = 73.75 ) intelligences. However, Kinesthetic ( M = 52.50 ) and Musical ( M = 52.70 ) intelligences were perceived least by Eng-lish Dept Adult Education FCU students as shown in Table 2.
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue16
Table 2: Multiple Intelligences Perceptions of English Dept Adult Education FCU Students Intelligence Mean S. D. Rank Linguistic 75.50 12.11 1
Intrapersonal 73.75 10.48 2 Interpersonal 65.80 13.02 3
Spatial 60.85 14.18 4 Mathematical 56.35 14.31 5
Musical 52.70 15.91 6 Kinesthetic 52.50 17.04 7
N= 79
Differences in Multiple Intelligences Perception between English Dept FCU Students and English
Dept Adult Education FCU Students An independent sample t test was conducted to compare the two-group students’ predominant per-
ception for each multiple intelligence. The differences between the two groups students’ predominant
perception for MIs are presented in Table 3. English Dept Adult Education FCU students demonstrated a
significantly less predominant perception than English Dept students for three perceptions. These in-
cluded musical intelligence, t ( 133 ) = -2.41, p = .017 , mathematical intelligence, t ( 133 ) = -2.27, p
= .025, and kinesthetic intelligence, t ( 133 ) = -3.14, p = .002 . There were no significant differences
between the two group students’ intellectual perception regarding the other four intelligences determined
by t test at the 0.05 level as shown in Table 3.
Table 3: Differences in Multiple Intelligences Perception between English Dept
FCU Students’ and English Dept Adult Education FCU Students
Intelligences Mean English Dept FCU students Mean English Dept Adult Education FCU t p
(N = 95 ) (N =79 ) Linguistic 72.99 75.50 0.93 .352
Spatial 64.59 60.85 -1.42 .159 Musical 59.94 52.70 -2.41 .017*
Intrapersonal 72.95 73.75 0.30 .764 Interpersonal 68.86 65.80 -1.14 .258 Mathematical 62.51 56.35 -2.28 .025* Kinesthetic 61.31 52.50 -3.14 .002*
*p < .05
Correlations Bivariating Exist in the Multiple Intellectual Perceptions of English Dept FCU Stu-
dents
There are four-pair bivariating correlations existing in the multiple intellectual perceptions of Eng-
lish Dept FCU students. They included linguistic-intrapersonal intelligences, p = .013, linguistic-
interpersonal intelligences, p = .038, interpersonal-spatial intelligences, p = .017, and intrapersonal-
kinesthetic intelligences, p = .043 determined by Pearson correlation at the 0.05 level (two-tailed). The
finding means that if a student expresses a stronger intellectual perception in intrapersonal, he must also
be good at kinesthetic intelligence and so on as shown in Table 4.
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue 17
Table 4: Correlations Bivariating in the Multiple Intellectual
Perceptions of English Dept FCU Students Ling Spatial Musical Intra Inter Math Kines
Linguistic Pearson Prob
1.000 .
.531
.000 .645 .000
.390*.013
.330* .038
.609
.000 .641 .000
Spatial Pearson Prob
.531
.000 1.000
. .518 .001
.534
.000 .375* .017
.677
.000 .740 .000
Musical Pearson Prob
.645
.000 .518 .001
1.000 .
.510
.001 .416 .008
.519
.001 .471 .002
Intrapersonal Pearson Prob
.390* .013
.534
.000 .510 .001
1.000.
.540
.000 .546 .000
.321* .043
Interpersonal Pearson Prob
.330* .038
.375* .017
.416
.008 .540 .000
1.000 .
.448
.004 .265 .099
Mathematical Pearson Prob
.609
.000 .677 .000
.519
.001 .546 .000
.448
.004 1.000
. .683 .000
Kinesthetic Pearson Prob
.641
.000 .740 .000
.471
.002 .321*.043
.265
.099 .683 .000
1.000 .
*Correlation is significant at the 0.05 level (two-tailed).
Correlations Bivariating Exist in the MI Perceptions of English Dept Adult Education FCU Stu-
dents There are three correlations bivariating between visual-musical intelligences, p = .021, visual-
mathematical intelligences, p = .029, and intrapersonal-interpersonal intelligences, p = .028 determined
by Pearson correlation at the 0.05 level (two-tailed). The results are presented in Table 5. That means the
student who perceives a stronger intelligence in visual must also be good at in musical intelligence and
etc.
Table 5: Correlations Bivariating in the Multiple Intellectual Perceptions of English Dept Adult Education FCU Students
Ling Visu Music Intra Inter Math Kines
Linguistic Pearson Prob
1.000 .
.489
.005 .510 .003
.653
.000 .475 .007
.056
.766 .661 .000
Visual Pearson Prob
.489
.005 1.000
. .412* .02
.530
.002 .641 .000
.393* .029
.552
.001
Musical Pearson Prob
.510
.003 .412* .021
1.000 .
.295
.108 .279 .128
.224
.266 .257 .162
Intrapersonal Pearson Prob
.653
.000 .530 .002
.295
.108 1.000
. .395* .028
.196
.291 .560 .001
Interpersonal Pearson Prob
.475
.007 .641 .000
.279
.128 .395* .028
1.000 .
.584
.001 .648 .000
Mathematical Pearson Prob
.056
.766 .393* .029
.224
.226 .196 .291
.584
.001 1.000
. .123 .508
Kinesthetic Pearson Prob
.661
.000 .552 .001
.257
.162 .560 .001
.648
.000 .123 .508
1.000 .
*Correlation is significant at the 0.05 level (two-tailed).
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue18
FINDINGS
The following findings emerged from the analysis of the data collected is in list: 1. Of the sevens, linguistic intelligence was perceived by aggregate respondents as being the most pre-
dominant, while kinesthetic and musical were perceived by respondents as being the least predominant
intelligences.
2. English Dept FCU students perceived linguistic as their predominant intelligence and intrapersonal and
interpersonal are the next; and reflected kinesthetic and musical intelligences as their least.
3. English Dept Adult Education FCU students perceived linguistic as their predominant intelligence and
intrapersonal and interpersonal are the next; while musical and kinesthetic were perceived as the least
predominant intelligences.
4. English Dept. Adult Education FCU students demonstrated a significantly less predominant perception
than English Dept. FCU students for three perceptions including musical, mathematical, and kines-
thetic intelligences. English Dept FCU students did not reflect any significantly difference from adult
students for the other four multiple intelligences.
5. There are four-pair bivariating correlations existing in the multiple intellectual perceptions of English
Dept. FCU students. The bivariating correlations included linguistic-intrapersonal, linguistic-
interpersonal, interpersonal-spatial, and intrapersonal-kinesthetic intelligences.
6. There are three-pair bivariating correlations existing in the multiple intellectual perceptions of English
Dept. Adult Education FCU students. They were visual-musical intelligences, visual-logical mathe-
matical intelligences, and intrapersonal-interpersonal intelligences.
7. The most predominant multiple intelligence perception of the two groups students is the same– linguis-
tic , intrapersonal, and interpersonal intelligences. Not only English Department traditional but also
adult students, who are working in English, demonstrate the highest scores in the linguistic intelligence.
The correlation between the multiple intelligence perception scores and “English” Dept. Students is
making sense.
CONCLUSIONS
All of the result addressing students’ multiple intelligences will guide in the school setting to in-
crease/create students’ personalized learning environment in helping not only English Dept. students but
also other Department students to set future goal and career designing or develop their second ma-
jor/minor or diversified learning. Also the study serves teachers as a reference to design students’ learning
experiences or adjust curricula.
1. English Dept traditional and adult FCU students perceived linguistic as their strongest intelligence for
the multiple intelligences.
2. English Dept traditional and adult FCU students also all reflected least predominant intellectual percep-
tion in kinesthetic and musical intelligences for the seven multiple intelligences.
3. English Dept students and English Dept adult education FCU students have reasonable correlation with
the Intelligence Quest perception scores, i.e., they have most predominant intelligence in linguistic.
4. Generally, there were no significant differences existing between English Dept. students and English
Dept. adult education FCU students’ intellectual perceptions regarding the predominance of the seven
multiple intelligences. English Dept. traditional and adult FCU students should be treated to represent
all FCU students; even more they could stand for universities students in Taiwan for this research.
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue 19
5. English Dept. FCU students perceive musical is their weakest; while the kinesthetic is perceived as the
least predominant intelligence by English Dept. adult FCU students.
From the above finding, both English Dept traditional and adult FCU students perceived linguistic
as their strongest intelligence for the multiple intelligences. Also we found there are two correlations
bivariating between linguistic-intrapersonal intelligences, linguistic-interpersonal intelligences. In sum, it
is important for researchers who would utilize this to understand the correlations bivariating existing be-
tween any two of multiple intelligences, i.e., the student who perceives a stronger intelligence in spatial
must also be good at interpersonal intelligence, so that the students’ second major or diversified learning
could be thereby developed.
DISCUSSION
In 1998 Dr. Milne stated that there does exist a correlation (a linkage) between the Intelligence
Quest perception scores and the student’s achievement profile. In this paper, ranked means indicated that
all students’ most predominant multiple intelligences perception were linguistic intelligences; while both
kinesthetic and musical were ranked as the least. That English Dept. traditional and adult FCU students
demonstrate highest scores in the perceptions of linguistic intelligence is reasonable. However, despite the
strongest linguistic intelligence, most English Dept. students do not know and rely heavily upon this intel-
ligence. The second major therefore deserves to find; perhaps it will make them more internally moti-
vated to learn and to develop in today’s complex world.
Although there were significant differences between English Dept. traditional and adult FCU stu-
dents for musical, mathematical, and kinesthetic intelligences, the most predominant three multiple intel-
ligences perceptions of the both group students are almost the same; they included linguistic, intraper-
sonal, and interpersonal intelligences. Hence, the implications for English Dept. traditional and adult FCU
students to be treated to represent all FCU students, even to stand for all universities students in Taiwan
should be considerable.
There are four correlations bivariating existing in English Dept. FCU students between linguistic-
intrapersonal intelligences, linguistic-interpersonal intelligences, spatial-interpersonal, and intrapersonal-
kinesthetic intelligences. With respect to spatial-interpersonal intelligences, in Oxford’s (1993) research,
which found that the visual-spatial like to read a lot, which requires concentration and time spent alone.
And high intelligence in interpersonal is the ability to note distinctions among others and a sensitivity to
the moods and temperaments of others. It is no wonder they may have correlation each other. That means,
the student who perceives a stronger intelligence in spatial must also be good at interpersonal intelligence.
They have bivariating correlation each other.
To help students’ diversified learning, effective teachers should strive to understand and recognize
the students’ intelligences. To refine students’ talents, help students use their combination of intelligences,
and prepare a suitable learning environment should absolutely not be neglected. This paper will also ulti-
mately benefit to education and which would enhance students “welfare” leading to a great satisfaction
(Lysonski, et. al., 2003).
The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue20
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The Journal of Human Resource and Adult Learning, Vol. 10, Num. 1, June 2014 issue 21
CHECKLISTING MY STRENGTHS
Circle the number which you feel best describes your strength or ability in each item:
(low) (high)
1. I speak well in public. 1 2 3 4 5 6 7 8 9 0
2. I can find my way around cities very well. 1 2 3 4 5 6 7 8 9 0
3. People consider me a good listener. 1 2 3 4 5 6 7 8 9 0
4. People say I am a good singer. 1 2 3 4 5 6 7 8 9 0
5. I can measure and analyze data well. 1 2 3 4 5 6 7 8 9 0 6. I have no great difficulty in writing papers. 7. I learn words and tunes to songs easily. 8. I participate(ed) in competitive sports. 9. Knowing and trusting myself is important.
10. I am strong and well coordinated. 11. I am good at quiz (trivia) games.
12. I communicate well through letters. 13. I have strong values and ethics.
14. I build things “from scratch” with tools 15. People consider me a good team player.
16. I know myself well and set my own goals. 17. I tell jokes and stories very well.
18. I have little or no difficulty in mathematics. 19. It is easy for me to communicate ideas.
20. I constantly examine my own feelings. 21. I cooperate well in working with a group.
22. I am a good dancer. 23. I excel in playing a musical instrument.
24. I have no difficulty in reading maps. 25. I have good eye-hand coordination.
26. I can visualize things before I build them. 27. Music is an important part of my life.
28. I make detailed house plans. 29. I conduct step by step experiments well.
30. Music is relaxing and a pleasure for me. 31. I can sketch outdoor scenes well.
32. I think a lot, sometimes day dream. 33. I like to express myself in poetry. 34. Goals are an important art of my life. 35. I build friendships easily.