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2.1 Theory of Multiple Intelligences
Gardner’s (1983, 1999, 2004) theory is linked to cognitive areas such as linguistics, psychology, anthropology,
neuroscience, and technology, incorporating various approaches to human potential. Gardner defined intelligence
as a bio-psychological ability to process information that can be activated in a cultural setting to solve problems
or create valuable products. The multiple intelligences are bodily-kinesthetic intelligence, existential intelligence,
interpersonal intelligence, intrapersonal intelligence, laser intelligence, linguistic intelligence,
logical-mathematical intelligence, mental-search intelligence, musical intelligence, naturalistic intelligence, and
visual- spatial intelligence. According to Gardner, when students identify their multiple intelligences, they can
understand their individual strengths and weaknesses. Encouraging students to develop their own multiple
intelligences profiles can help them become motivated to acquire the necessary skills for learning English.
Teachers can use the students’ multiple intelligences profiles to prepare customized activities to maximize the
learning opportunities inside and outside the classroom. Previous research (Batt, 2008; Branton, 2004; Campbell
& Egawa, 2005; Chan, 2006; Christodoulou, 2009; Chen, 2004; Christion, 2004; Christion & Kennedy, 2004;
Dylan, 2013; Savas, 2012) showed that Gardner’s theory had important implications for teaching language skills
because it helped to use cognitive and metacognitive strategies to urge students to improve comprehension,
attitude, and motivation, consequently language proficiency.
2.2 Multiple Intelligences and Motivation
Research studies (Cortright et al., 2015; Dornyei, 2001; Gardner, 1999; Ginsberg, 2011; Gowen, 2010; Gredler,
2005) provided statistical evidence that motivation was an important predictor of language success. Yeh (2014)
asserted that many language learners were unmotivated because of limited learning resources, and that when
teachers used multiple intelligences activities, including audio and video materials, journal writing, and concept
maps, students’ performance improved. Razmjoo (2008) also confirmed the relationship between multiple
intelligences and language proficiency. Lynn (2013) provided evidence that when college students used multiple
intelligences, their existential, intrapersonal, interpersonal, linguistic, visual-spatial abilities were revealed,
which helped them to increase their performance. Rutger and Henk (2012) concluded that academic success was
higher when students used multiple intelligences. Suriat and Tajularipin, (2010) showed evidence that enhancing
language learning was achieved by responding to students’ individual differences, applying multiple
intelligences. Moreover, research (Dylan, 2013; Harmer, 2007) indicated that when teachers adopted a multiple
intelligences approach, they helped students to increase motivation. Touré-Tillery and Fishbach (2014)
confirmed that while aspects that influence success in language learning vary to include aptitude, motivation
learning styles, and teaching strategies, motivation was the most influential factor in language learning and that
students raised their motivation when they became aware of their multiple abilities. Roell (2010) affirmed that
students who used musical intelligence in learning English as a foreign language (EFL) or English as a second
language (ESL) were more motivated to develop linguistic and cultural competences than students who were
learning in traditional classrooms. In this respect, Gowen (2010) asserted that there was a relationship between
Attention, Relevance, Confidence, and Satisfaction (ARCS) model of motivational design and the theory of
multiple intelligences.
2.3 Multiple Intelligences and Teaching Strategies
When Gardner (1983) proposed the theory of multiple intelligences, new teaching approaches were implemented
to improve students’ performance, especially in the area of language learning. For example, research studies
(Acat, 2005; Christion & Kennedy, 2004; Gredler, 2005; Richards & Rodgers, 2011; Saricaoglu & Arikan, 2009)
confirmed that mental processes such as perception, memory, attention, and language acquisition were improved.
Research (Chan, 2006; McGrath & Noble, 2005; Savas, 2012) also indicated that teachers, who applied the
multiple intelligences strategies helped students acquire advanced language skills in reading, writing, speaking,
and listening. Yeh (2014) provided a model for teaching through integrating multiple intelligences into
film-based strategy to help L2 acquire linguistic and cultural competencies. Madkour (2009) provided a model to
integrate linguistic theories into the theory of multiple intelligences. Noble (2004) concluded that incorporating
Bloom’s taxonomy with multiple intelligences motivated students to improve their performance. Gowen (2010)
introduced an instructional model of integrating multiple intelligences into the technology of webquest. Dylan
(2013) used multiple intelligences to connect learning to students’ everyday lives, thus, fostering effective open
learning environments. According to McFarlane (2011), multiple intelligences theory is effective as a
methodology to strengthen the diversity of classrooms, including the utilization of technology to increase
learning opportunities. Research (Griggs et al., 2009; Haley, 2004; Kezar, 2001; Suriat & Tajularipin, 2010;
Vaughn, Bos, & Schumm, 2011; York-Barr et al., 2006) indicated that because of students’ individual differences,
learning varied and required differentiated strategies such as multiple intelligences. In this regard, McCoog