With regard to the first research question What are the components of the multicultural EFL teacher education, as uncovered by the experts’ views?, the qualitative thematic analysis led to the identification of the following components:
1. Eliminating race-related inequalities
According to this component, multicultural EFL teacher education should train teachers to eliminate racial inequalities among students. This is evident in the following quotations:
Multicultural teacher education should prepare EFL teachers to remove racial discrimination. Teachers should try to regard students of all races equal and treat them fairly. Race of students should not be the reason for discrimination. All students are equal. (Participant 4)
EFL teachers are to be trained to consider students of different races equal. They should not discriminate between different races. This is at the heart of multiculturalism. Racial background of students should not change teachers’ orientation toward students. If teachers learn this, they can move in the path of multicultural education more conveniently. (Participant 1)
2. Eliminating gender-related inequalities
According to this component, multicultural EFL teacher education should make teachers prepared to eliminate gender inequalities among students. The following quotations show this:
EFL teachers should be taught to attempt to eliminate gender inequality. Teachers should encourage justice between male and female students. Teachers are to be trained not to pay huge attention to gender as a determinant factor in their teaching. They should treat both male and female students the same. (Participant 6)
Multicultural teacher education must seek the mission of generating gender equality at least in educational settings. EFL teachers should make their best to achieve this through possible means. (Participant 10)
3. Eliminating social class-related inequalities
By this component, it is meant that multicultural EFL teacher education should prepare teachers to eliminate inequalities related to social class among students. The following quotations support this:
To be multicultural, teacher education programs should work on teachers to challenge inequalities existing among learners because of their social class. EFL teachers should assume all students the same, regardless of their social class. (Participant 12)
Teacher education courses should aim at preparing English teachers to avoid unfairness rooted in students’ social class differences. EFL teachers should be informed of the equal rights of all social classes. (Participant 8)
4. Eliminating language-related inequalities
According to this component, multicultural EFL teacher education should target teachers’ elimination of inequalities that are imposed due to the mother tongue of students. This is confirmed by the following quotations:
Multicultural education convinces teachers to take a neutral stance towards students with different first languages. Speaking in a specific language should not make any student distinguished from the other ones. (Participant 7)
Teacher education based on multiculturalism should put a place for language indiscrimination. I want to say that teachers should be informed that students’ L1 should not lead to any discrimination. All languages are equally respected. (Participant 5)
5. Eliminating ability-related inequalities
According to this component, multicultural EFL teacher education should educate teachers to remove inequalities among students that have been formed as a result of some students’ particular abilities in different areas. This can be understood from the following quotations:
EFL teachers must be trained to be respectful to all students. All students are there to be provided with teacher respect equally. That a student is talented in some respect is not a justification to behave him or her differently in comparison to other students. (Participant 11)
Teacher training should instruct teachers to equally pay attention to all students. Paying more attention to students whose abilities are higher than their peers is not congruent with multicultural education. Students’ ability is not a yardstick for receiving more attention and care from teachers. (Participant 14)
6. Eliminating culture-related inequalities
According to this component, multicultural EFL teacher education should seek to help teachers eliminate inequalities related to culture among students. This is documented by the following quotations:
Teacher training programs must give appropriate instructions to teachers on how they can make their best to neglect cultural differences. Teachers should be instructed to avoid prejudice towards some cultures and against some other cultures. (Participant 15)
EFL teachers need training on challenging cultural bias. They are required to be taught on the disadvantages of cultural discrimination. Students’ cultural background should not be taken as a gate or block for being privileged or deprived from educational opportunities. (Participant 3)
Table 1 shows the frequency and percentage of the components.
Table 1
The Frequency and Percentage of the Components
Component | Eliminating race-related inequalities | Eliminating gender-related inequalities | Eliminating social class-related inequalities | Eliminating language-related inequalities | Eliminating ability-related inequalities | Eliminating culture-related inequalities |
Frequency | 13 | 13 | 11 | 11 | 10 | 14 |
Percentage | 86.66 | 86.66 | 73.33 | 73.33 | 66.66 | 93.33 |
As illustrated in the Table 1, the themes have been recurrent in the quotations of more than 66.66% of the interviewees.
Concerning the second research question What are the Iranian private and public sector EFL teachers’ perceptions of the multicultural EFL teacher education?, the following themes were extracted:
1. Teaching teachers the necessary communicative skills
According to this theme, multicultural EFL teacher education should teach teachers the required communicative skills. The following quotations show this:
EFL teachers should be competent in communicative skills. This should be highly emphasized in teacher education. If teachers are not strong in communicative abilities, they cannot behave in a fair manner with all the students. (Participant 3)
Education of teachers should be oriented towards empowering them in communication skills. EFL teachers should pass social skills courses that revolve around building good relations with students. (Participant 7)
2. Teaching teachers to generate positive thinking
According to this theme, multicultural EFL teacher education should teach teachers to generate positive thinking in students. Evidence of this is the following quotations:
During teacher education periods, EFL teachers should learn that they should encourage positive thinking among students. In this way, students learn to respect themselves and others. Teachers need to be trained to make students positive thinkers. (Participant 36)
Teacher preparation founded on multicultural guidelines should put positive thinking training on top of its work. Teachers should be made aware of the miracle of positive thinking in English language classes. Emotions talk louder than reason. (Participant 14)
3. Teaching teachers to encourage difference acceptance
According to this theme, multicultural EFL teacher education should teach teachers to encourage students to accept differences existing between themselves and other people. To support this, the following quotations can be mentioned:
Teacher education authorities should plan programs in which teachers are prepared to teach students prefer differences rather than sameness and differences. Students should be made conscious that differences are not threats but they are opportunities for peaceful co-existence. (Participant 28)
Teacher education in the light of multicultural education means making teachers equipped with the necessary skills and knowledge to teach students welcome the existing differences among each other. They should know that differences make the ground for more interaction. (Participant 2)
4. Teaching teachers to use multicultural content
According to this theme, multicultural EFL teacher education should teach teachers to inject multicultural content into educational materials. This is shown by the following quotations:
In multicultural teacher education, teachers are provided with strategies of using multicultural content in teaching English. Teacher educators must present samples of multicultural materials to teachers so that they learn how to use them in their classes. (Participant 27)
Motivating teachers to take advantage of multicultural issues in the content of materials should be taken into account in teacher education units. This can be done through different means including textual and multimedia materials. (Participant 33)
5. Teaching teachers to use various evaluation methods
According to this theme, multicultural EFL teacher education should teach teachers to use different types of assessment methods. The following quotations support this:
Teachers should evaluate students’ learning in different ways. Just using a specific evaluation method does not make teaching effective. Different evaluation methods are recommended to be used by teachers to make sure that students’ knowledge is appropriately evaluated. (Participant 8)
An English teacher who seeks effectiveness of teaching does not delimit evaluation of students to traditional procedures. He or she is well aware that fair assessment involves employment of different techniques. (Participant 13)
6. Teaching teachers to build a fair classroom
According to this theme, multicultural EFL teacher education should teach teachers to turn classroom into a fair place in different aspects. The following quotations confirm this:
Implementing fairness in different dimensions of teaching is a characteristic of multicultural teaching. EFL teacher should be taught by educators to be fair in teaching students, supporting them, evaluating and scoring their exams and so on. Teachers should also be fair in expecting learning outcomes from students. (Participant 19)
Justice enactment is a sign of teaching based on multiculturalism. Teachers must be trained to be persons who act fairly in their profession. They must recognize the right of students to be treated fairly. This should be seriously dealt with in teacher education courses. (Participant 5)
7. Teaching teachers to consider all languages the same
According to this theme, multicultural EFL teacher education should teach teachers to put bias for or against a language aside. The following quotations corroborate this:
Teacher training courses should make teachers free from shackles of treating one language as the dominant language. EFL teachers should be so open-minded that consider all languages as equally important. This should also be conveyed by teachers to students. (Participant 50)
Teachers should be warned against language bias. Teacher education approaches should be strong enough to prevent teachers from selecting one language as the best language. Although they are teachers of English, but it does not mean that English is the best language. (Participant 42)
8. Teaching teachers to teach self-reflection and critical thinking
According to this theme, multicultural EFL teacher education should teach teachers to train students on thinking about their own selves and critical thinking. The following quotations highlight this:
In teacher education periods, it is suggested that EFL teachers are provided with strategies to teach learners critical thinking and self-thinking. Multicultural training is well-adapted to critical thinking. (Participant 53)
EFL Teacher education should be concerned with criticality teaching and enlightenment. Teachers should learn to teach criticality to students. They should learn to teach students how to question or challenge the status quo. (Participant 59)
9. Teaching teachers to teach tolerance and peace
According to this theme, multicultural EFL teacher education should teach teachers to teach tolerance and peace to students. The following quotations highlight this:
Multicultural teacher education should empower teachers to go beyond mere instructional materials and teach tolerance in the classroom. Students should be taught to be tolerant of others’ views and attitudes. (Participant 1)
Programs of preparation of teachers should put teaching peace and healthy co-existence on the top of their work when educating teachers. Teachers should inevitably prepare students for living in the society with people of different cultures and backgrounds. (Participant 18)
10. Teaching teachers to teach social relations
According to this theme, multicultural EFL teacher education should teach teachers to teach students social relations. The following quotations show this:
Teaching social relations to students is a main responsibility of EFL teachers according to multicultural education. This should be observed meticulously in teacher education programs. In fact, teachers should be trained to teach social life in their profession. (Participant 10)
Using multiculturalism in teacher education means teaching pre-service teachers on teaching social relations and its importance in EFL teaching. Multicultural teaching is tightly tied to the role of social communication competence in personal and social growth and development. (Participant 60)
11. Teaching teachers to teach about democracy
According to this theme, multicultural EFL teacher education should teach teachers to train students on thinking about their own selves and critical thinking. The following quotations highlight this:
English teacher education should be turned into places for preparing teachers to teach democratic issues when teaching English. Promotion of democracy in EFL classes is not less important than English teaching. To do this, students’ voices should be taken into consideration in different classroom procedures. (Participant 57)
Teacher education should target generating democracy literacy among teachers to be conveyed to students by them. It can be taught to be implemented by teachers through different means such as paying attention to the wants and needs of students in selecting instructional materials. This goal, if seriously sought, can lead to basic changes in the system with many advantages. (Participant 4)
Table 2 shows the frequency and percentage of the extracted themes.
Table 2
The Frequency and Percentage of the Extracted Themes
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)
As indicated in the Table 2, the themes have been prevalent in the quotations of more than 71.66% of the interviewees.