An Examination of Teachers’ Culturally Responsive Teaching Self-Efficacy

Developing CRT Self-Efficacy

Self-efficacy, theoretically grounded in Bandura’s social cognitive theory, refers to a belief in one’s ability to organize and carry out the actions needed to produce desired results, and it provides a theoretical lens through which to evaluate teachers’ ability and willingness to implement CRT (Bandura, 1977, 1991). In teaching, self-efficacy refers to a teacher’s belief that he or she is able to promote and affect student learning in a particular realm (Bandura, 2007; Dembo & Gibson, 1985), and it has been shown to wield power over teachers’ performance and motivation (Bouffard-Bouchard, Parent, & Larivee, 1991; Pajares, 1996). Crucially, teacher self-efficacy varies based on context, meaning a teacher well versed in teaching content-area skills may still lack a sufficient sense of self-efficacy in meeting the needs of CLD students (Pajares, 1996; Tschannen-Moran, Hoy, & Hoy, 1998).

Heightened teacher self-efficacy has been associated with positive outcomes for both teachers and students. In terms of teacher outcomes, it is a significant predictor of a teacher’s understanding of students (Caprara, Barbaranelli, Steca, & Malone, 2006), is associated with a teacher’s ability to more effectively respond to students’ needs (Hoy & Spero, 2005) and is associated with the development of meaningful curriculum and learning opportunities in the classroom (Reyes, Brackett, Rivers, White, & Salovey, 2012; Rimm-Kaufman & Chui, 2007). Furthermore, higher levels of self-efficacy have been linked to greater effort, persistence, and resilience among teachers (Pajares, 1996). Building self-efficacy in targeted areas, then, may act as a potential intervention for teachers struggling to engage students in specific domains related to CRT, such as establishing connections with students whose backgrounds are different from their own. Furthermore, pinpointing areas in which teachers tend to feel low self-efficacy has direct implications for professional development, enabling the specific targeting of areas that have the potential to increase teacher persistence and performance and, thus, positively impact student outcomes (Caprara et al., 2006; Frye, Button, Kelly, & Button, 2010; Pajares, 1996; see Zee & Koomen, 2016, for a full review of teacher self-efficacy research).

Despite the positive effects of teacher self-efficacy in general, little research has examined the extent to which teachers feel competent specifically in their ability to implement CRT. Some research has emerged using the Culturally Responsive Teaching Self-Efficacy (CRTSE) scale (Siwatu, 2007), which measures CRT knowledge, skills, and self-efficacy. The scale consists of 40 items that encompass the following four CRT competency areas: (a) curriculum and instruction, (b) classroom management, (c) student assessment, and (d) cultural enrichment. A high CRTSE score indicates beliefs in one’s own ability to execute particular teaching tasks and practices associated with CRT. Using the CRTSE scale, Siwatu sampled preservice teachers in the Midwest and included an individual analysis of specific items for which respondents demonstrated high self-efficacy scores. Results showed that respondents felt able to make students feel like valued members of the classroom, and that they held a belief that building a sense of trust in students can lead to positive teacher–student relationships. Respondents felt less able to engage in relationship development that related to specific cultural elements; for example, teachers expressed low self-efficacy in greeting English language learners using a phrase in a student’s native language. Siwatu’s study did not include data on participants’ background characteristics, and the author stressed the need to conduct additional research examining the relationship between teacher background variables (e.g., teaching experiences) and scores on individual CRTSE items to better tailor teacher education and professional development opportunities to support CRT capacity building.

Fitchett, Starker, and Salyers (2012) conducted a study using the CRTSE to examine 20 preservice social studies teachers’ self-efficacy in delivering CRT, as social studies is a curriculum that is often used to assert civic and democratic virtues. The authors found that requiring participants to review (i.e., ask critical questions about curriculum), reflect (i.e., interview learners and discuss cultural contexts about curriculum), and react (i.e., devise and implement quality CRT lessons based on past reflection and reaction) to instructional materials related to CRT domains (Gay, 2010) during preservice teacher training made them more confident in their abilities to implement CRT practices and more willing to work in diverse communities with CLD students. Fitchett et al. determined that

[i]ntegrating a culturally responsive framework within a social studies methods class has the potential to not only inform students of multicultural dispositions but also increase their efficaciousness to interact with diverse learners, work in diverse environments, and instructionally engage learners in culturally diverse content. (p. 603)

Chu and Garcia (2014) conducted a survey of special education teachers’ (n = 344) self-efficacy using the CRT, focusing on sociodemographic characteristics such as dominant language, perceived quality of professional preparation programs, and racial/ethnic background of the students served. Teachers’ language characteristics and perceived quality of professional preparation were both found to be significant positive predictors of CRTSE. Teachers who spoke more than one language and teachers who were certified in bilingual education both reported higher CRTSE scores, suggesting a need for further study on teachers who work directly with English language learners who have disabilities. Chu and Garcia’s study was limited to special education teachers, which prevents an understanding of how special education teachers’ self-efficacy might differ from general education teachers.

Although not specific to CRT self-efficacy, some studies have shown a relationship between teacher and school demographic characteristics and self-efficacy in other teaching domains. Rubie-Davies, Flint, and McDonald (2012), for example, conducted a survey study with 68 participants, examining the relationships among gender, years of teaching experience, and school contextual variables (e.g., school socioeconomic status [SES]) as they relate to self-efficacy in teaching reading and in student engagement. Results showed that female teachers had higher self-efficacy scores for teaching reading than males, and that teachers working in lower SES schools had higher levels of self-efficacy in student engagement. Further investigation of sociodemographic, school context, and preparation program variables is warranted, as these differences may contribute differentially to teacher self-efficacy in delivering CRT.

Purpose of the Study

Using social cognitive theory as a theoretical framework, in this study, we examined teachers’ self-efficacy beliefs related to implementing CRT. Research has indicated that teachers’ self-efficacy in specific domains results in positive teacher and student outcomes (e.g., Malinen et al., 2013; Reyes et al., 2012; Tschannen-Moran & Johnson, 2011), though we have limited information on the extent to which practicing teachers feel self-efficacious in their ability to deliver culturally relevant instruction. Our study first sought to determine the competency areas of CRT in which teachers feel self-efficacious. Prior studies using the CRTSE scale have not examined scores on individual competency sections (e.g., Fitchett et al., 2012), but teachers may have varying levels of self-efficacy beliefs depending on the specific feature of CRT (e.g., some teachers may feel more confident in CRT curriculum and instruction and feel less confident in culturally responsive classroom management techniques). Furthermore, studies that have examined CRTSE scores by individual item (e.g., Siwatu, 2007) have only included preservice teachers; therefore, in this study, we examined both preservice and practicing teachers’ self-efficacy across various components of CRT.

We also sought to examine a variety of teacher and school characteristics as potential predictors of higher CRT self-efficacy beliefs. As previously stated, prior studies using the CRTSE have only included preservice teachers (Fitchett et al., 2012; Siwatu, 2007) or special education teachers (Chu & Garcia, 2014), and studies have not compared general and special education teachers’ CRTSE scores. Comparing CRTSE scores between general and special education teachers is particularly important, as students identified as having disabilities are often susceptible to lowered expectations, and special education teachers’ perceptions of students are “influenced by their ability to identify and accept their own preconceived notions of the diverse groups, and how these ideas affect their expectations of the students” (Chu, 2013, p. 393). Thus, we sought to explore how special education teachers’ self-efficacy related to CRT compared with the self-efficacy of general education teachers.

Some studies have examined sociodemographic characteristics of teachers and their students (e.g., Chu & Garcia, 2014) as potential predictors of CRT, but few studies using this scale have considered a wider range of individual and school characteristics. Studies examining teacher and school characteristics (Rubie-Davies et al., 2012) have demonstrated a relationship between some background variables and self-efficacy in teaching reading and increasing student engagement but have not examined CRT self-efficacy. To more thoroughly examine the impact of a broader range of potential predictors, we examined sociodemographic characteristics (i.e., gender, ethnicity, linguistic background), teacher background characteristics (i.e., years of teaching experience, teacher training program, credential type), and school type (e.g., public, rural). This work builds on prior research on CRT self-efficacy, offering a greater understanding of factors that contribute to higher self-efficacy in specific CRT competencies. In this study, we addressed the following research questions:

Method

Participants

A total of 245 preservice and in-service teachers participated in the study. Individuals were eligible to participate if they were practicing teachers or currently enrolled in a teacher credential program. To obtain as diverse a sample as possible, we used a convenience sampling strategy (Etikan, Musa, & Alkassim, 2016) to recruit participants from our professional networks. An electronic survey was disseminated to a total of 3,164 potential respondents from the following groups: preservice teachers enrolled in teacher preparation programs in California and Idaho; in-service teachers in school districts in California, Idaho, and Oregon; one large network of private school teachers in California; and a sample of teachers in an alternative certification program from across the country. In addition, the survey link was included on several mailing lists for professional teaching groups, charter networks, and teaching credential programs. Due to the convenience sampling of the survey distribution, it is not possible to determine a specific response rate; however, we estimate our response rate to be roughly 7.7%, and the 245 participants in our sample reflected a range of teacher background characteristics and school types.

Participant demographic information can be found in Table 1. The majority of our sample was female (80.9%) and identified as White (59.8%). The sample also included those who identified as Asian (15.4%), Latino (9.8%), and African American (6.1%), and 14.3% of the total respondents reported a language other than English as their first language. Respondents varied in their preparation backgrounds, including traditional licensure (53.1%), intern credential licensure (13.1%), Teach for America (TFA; 21.6%), and other teacher credential programs (12.2%). The majority of our sample reported teaching in public schools (68.5%), 14.5% of the sample reported working in charter networks, and 7.9% of the sample reported working for a private school network. The participants held the following credentials: special education (20.6%), multiple subject (17.8%), single-subject English (8.7%), and single-subject math (4.6%). Precredential candidates comprised 25.1% of the sample. The teachers’ years of experience ranged from 0 years (n = 61) to 51 years (n = 1), with a mean of 4.74 years (SD = 7.92 years).

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Table 1.

Demographic and Descriptive Characteristics of the Analytic Sample.

Characteristic	Sample
	n	%
Gender
Male	47	19.1
Female	198	80.9
Race/ethnicity
African American	15	6.1
Latino(a)	24	9.8
Asian	38	15.4
White	146	59.8
Other	22	8.9
English as a first language
English was first language	210	85.7
English not first language	35	14.3
Credential program
Traditional credential	130	53.1
Intern program	32	13.1
Teach for America	53	21.6
Other	30	12.2
School type
Public	166	68.5
Private	19	7.9
Charter	35	14.5
Other	25	9.1
Credential type
Special education	50	20.6
Multiple subject	43	17.8
Single-subject English	21	8.7
Single-subject Math	11	4.6
Precredential candidate	61	25.1
Other	59	23.2

Note. Other race/ethnicity includes individuals who are multiracial, Middle Eastern, Native American; other school type includes nonpublic institutions, nonprofit institutions, and Department of Defense Dependents Schools; other credential type includes single subject—science, physical education, and individuals in private schools who do not require a credential.

Survey Instrument

Demographic questions

The first section of the survey consisted of demographic questions regarding the participants’ background and teaching characteristics. Participants were asked to report their gender, race/ethnicity, and whether English was their first language. They were also asked to indicate the type of credential program in which they were currently enrolled or from which they received their teaching credential (i.e., traditional program, intern program, TFA, or other), their credential type (e.g., multiple subject, single subject), and their years of teaching experience. Finally, participants were asked to indicate the type of school in which they currently taught (i.e., public, private, charter, or other) and the school’s geographic setting (e.g., rural, urban).

CRTSE

Participants completed items from the CRTSE survey to provide data on both practicing and preservice teachers’ CRT self-efficacy—defined as teachers’ perceptions of their ability to execute specific teaching practices associated with CRT. The CRTSE scale was created based on existing literature and validated through a pilot study to determine factor structure and both internal and external reliability (Siwatu, 2007). The scale was designed to elicit information from teachers regarding their self-efficacy in executing specific CRT tasks, divided into the following areas: (a) use students’ cultural knowledge and learning preferences to facilitate learning (e.g., “I can use a learning preference inventory to gather data about how my students like to learn”), (b) design culturally compatible classroom environments that promote respect (e.g., “I can implement strategies to minimize the effects of the mismatch between my students’ home culture and the school culture”), (c) provide students with multiple opportunities to demonstrate learning using a wide assortment of nonbiased assessments (e.g., “I can identify ways that standardized tests may be biased toward culturally diverse students”), and (d) provide students with the skills needed to thrive in traditional academic culture while maintaining a connection to their home culture (e.g., “I can teach students about their cultures’ contributions to science”; Siwatu, 2007, p. 1093). The full survey protocol is included in Table 2, and more information about the survey’s development and validation can be found in Siwatu (2007). Other research studies using the scale have indicated strong reliability (e.g., Fitchett et al., 2012); the current study found the survey items to be highly reliable (α = .96).

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Table 2.

Descriptive Statistics for Items on the CRTSE Scale.

Item	M	SD	Minimum	Maximum
1. Adapt instruction to meet the needs of my students	74.9	17.95	4	100
2. Obtain information about my students’ academic strengths	79.6	16.6	10	100
3. Determine whether my students like to work alone or in a group	83.2	16.1	10	100
4. Determine whether my students feel comfortable competing with other students	74.3	19.8	0	100
5. Identify ways that the school culture (e.g., values, norms, and practices) is different from my students’ home culture	71.8	21.0	4	100
6. Implement strategies to minimize the effects of mismatch between students’ home culture and school culture	62.3	22.9	4	100
7. Assess student learning using various types of assessments	76.1	20.7	4	100
8. Obtain information about my students’ home life	69.6	21.1	10	100
9. Build a sense of trust in my students	86.0	17.5	4	100
10. Establish positive home–school relations	75.7	19.7	4	100
11. Use a variety of teaching methods	80.2	18.6	4	100
12. Develop a community of learners when my class consists of students from diverse backgrounds	76.2	18.6	4	100
13. Use my students’ cultural background to help make learning meaningful	72.5	19.0	4	100
14. Use my students’ prior knowledge to help them make sense of new information	79.1	17.6	4	100
15. Identify ways how students communicate at home may differ from the school norms	71.2	20.6	4	100
16. Obtain information about my students’ cultural backgrounds	73.3	20.1	4	100
17. Teach students about their cultures’ contributions to science	54.4	29.0	0	100
18. Greet English language learners with a phrase in their native language	60.4	30.2	0	100
19. Design a classroom environment that reflects a variety of cultures	68.6	22.5	4	100
20. Develop a personal relationship with my students	86.9	17.3	0	100
21. Obtain information about my students’ academic weaknesses	81.3	15.8	10	100
22. Praise English language learners using a phrase in their native language	55.9	30.9	0	100
23. Identify ways that standardized tests may be biased toward linguistically diverse students	71.9	22.2	4	100
24. Communicate with parents regarding their child’s educational progress	78.9	18.1	4	100
25. Structure parent–teacher conferences so that the meeting is not intimidating for parents	77.0	21.4	0	100
26. Help students to develop positive relationships with their classmates	79.3	18.5	4	100
27. Revise instructional material to include a better representation of cultural groups	70.2	21.0	4	100
28. Critically examine curriculum to determine whether it reinforces negative cultural stereotypes	73.9	20.5	0	100
29. Design a lesson that shows how other cultural groups have made use of mathematics	55.7	29.2	0	100
30. Model classroom tasks to enhance English language learners’ understanding	71.2	21.5	4	100
31. Communicate with parents of English language learners regarding their child’s achievement	62.8	26.7	0	100
32. Help students feel like important members of the classroom	84.6	16.5	10	100
33. Identify ways that standardized tests may be biased toward culturally diverse students	72.9	21.4	4	100
34. Use a learning preference inventory to gather data about how my students like to learn	69.7	26.0	0	100
35. Use examples that are familiar to students from diverse cultural backgrounds	69.8	21.3	4	100
36. Explain new concepts using examples that are taken from my students’ everyday lives	78.4	18.5	4	100
37. Obtain information regarding my students’ academic interests	80.9	17.6	4	100
38. Use the interests of my students to make learning meaningful to them	81.4	16.6	6	100
39. Implement cooperative learning activities for those students who like to work in groups	80.5	18.5	4	100
40. Design instruction that matches my students’ developmental needs	79.9	17.6	4	100
41. Mean CRTSE score	73.8	13.8	4.8	100

Note. CRTSE = Culturally Responsive Teaching Self-Efficacy.

The Likert-type scale consists of 40 items in which participants were asked to rate how confident they were in their ability to engage in specific CRT practices by indicating a degree of confidence ranging from 0 (i.e., no confidence at all) to 100 (i.e., completely confident). Participants’ responses to each of the 40 items are then summed and divided by 40 to generate a total mean score, which could range from 0 to 100. Participants with higher scores on the CRTSE scale are more confident in their ability compared with those with lower scores.

Results

Our first question examined the item-specific areas in which teachers felt stronger and weaker in delivering CRT. Strength indices for each individual item are displayed in Table 2. Of the four competency areas outlined by Siwatu (2007), we found strength indices to be highest on items related to curriculum and instruction. Higher means in this domain included items such as “I can design instruction that matches my students’ developmental needs” (M = 79.9, SD = 17.6) and “I can use a variety of teaching methods” (M = 80.2, SD = 18.6). Means were the lowest in the building cultural connections and cultural enrichment domains. These included items such as “I can design a lesson that shows how other cultural groups have made use of mathematics” (M = 55.7, SD = 29.2) and “I can teach students about their cultures’ contributions to science” (M = 54.4, SD = 29.0).

Upper and lower quartile items are displayed in Table 3. The items with the highest mean scores were in areas that involved nuanced understandings of student preferences, building personal relationships with students, and building trust. For example, when asked about the extent to which participants were able to develop a personal relationship with students, the mean score was 86.9 (SD = 17.3), and when asked about the ability to use the interests of students to make learning meaningful to them, participants averaged 81.4 (SD = 16.6). Other items with scores above 80 included those related to determining whether or not students enjoy working together in groups and obtaining information about students’ academic weaknesses. The upper quartile included items with means that ranged from 86.9 (“I can build a sense of trust in my students”) to 79.3 (“I can help students build positive relationships with classmates”).

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Table 3.

Upper and Lower Quartile Responses.

Upper quartile

Obtain information about my students’ academic strengths

Determine whether my students like to work alone or in a group

Build a sense of trust in my students

Use a variety of teaching methods

Develop a personal relationship with my students

Help students to develop positive relationships with their classmates

Obtain information regarding my students’ academic interests

Use the interests of my students to make learning meaningful to them

Implement cooperative learning activities for those students who like to work in groups

Design instruction that matches my students’ developmental needs

Lower quartile

Implement strategies to minimize the effects of the mismatch between my students’ home culture and the school culture

Obtain information about my students’ home life

Teach students about their cultures’ contributions to science

Greet English language learners with a phrase in their native language

Design a classroom environment that reflects a variety of cultures

Praise English language learners using a phrase in their native language

Design a lesson that shows how other cultural groups have made use of mathematics

Communicate with the parents of English language learners regarding their child’s achievement

Use a learning preference inventory to gather data about how my students like to learn

Use examples that are familiar to students from diverse cultural backgrounds

The lowest mean scores were in areas that involved specific cultural knowledge and building home-to-school connections. For example, lower mean scores included being able to greet English language learners in their native language (M = 60.4, SD = 30.2) and implement strategies to minimize the effects of mismatch between students’ home culture and school culture (M = 62.3, SD = 22.9). The lower quartile included items with means that ranged from 69.9 (“I can use examples that are familiar to students from diverse cultural backgrounds”) to 54.4 (“I can teach students about their cultures’ contributions to science”).

To answer our second research question, we conducted a series of ordinary least squares linear regression models to examine sociodemographic and teacher characteristics related to feelings of CRT self-efficacy. Model 1 was an unconditional model and provided an intercept depicting the overall mean CRT score (β = 73.38, p < .000). When adding years of teaching experience (Model 2), we found an estimated mean difference of 0.33, with a 95% confidence interval from 0.11 to 0.55, indicating that as years of teaching experience increased by 1, estimated mean CRTSE scores increased by approximately 0.33 points (p < .001).

Model 3 included sociodemographic characteristics of gender, ethnicity, and whether or not English was the participant’s first language. Although females had a higher estimated mean CRTSE score, we found that gender was not a significant predictor in the model (β = 2.87, p = .19). Respondents who identified as Latino were associated with higher estimated mean CRTSE scores (β = 6.43, p = .04), but other ethnicity categories did not significantly differ from participants identifying as White. Contrary to Chu and Garcia’s (2014) study, we found that having a first language other than English was associated with an estimated 7.9-point reduction in CRTSE scores (p = .01).

Model 4 examined whether or not credential program (i.e., intern, traditional, TFA, or other) would be a significant predictor of CRTSE scores, as these programs differ in their approaches to CRT training. Compared with traditional credential program training, we found that all the other training types were associated with lower estimated mean CRT scores, although these were not statistically significant predictors. When including credential subject (i.e., math, English, multiple subject, special education), we found that compared with precredential candidates, all subject areas except for single-subject English encompassed higher estimated mean CRTSE scores, with the highest scores for multiple subject teachers (β = 4.72, p = .11), although, again, these were not statistically significant factors. Special education teachers did not significantly differ in mean CRTSE scores than teachers with general education credentials.

Model 5 included school program type (i.e., private, charter, public, or other) and geographic setting (i.e., rural, suburban, urban, or other). All net controls considered, compared with teachers working in traditional public schools, all other school types were associated with lower estimated CRTSE scores. Teachers working in private schools were estimated to have mean CRT scores 5.33 points lower than that of public school teachers, although this was not statistically significant (p = .13). Compared with teachers working in urban geographic settings, we found higher estimated mean CRTSE scores for teachers working in rural and suburban areas, but these factors did not contribute to a large portion of the variance in our final model. Years of experience remained the most significant predictor of CRTSE scores in our analysis, suggesting that as teachers grow in the profession, they become more self-efficacious in working with CLD students. Table 4 displays the results of the linear regression models predicting CRTSE scores.

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Table 4.

Regression Models.

	Model 1	Model 2	Model 3	Model 4	Model 5
Intercept	73.38 (0.88)***	71.81 (1.01)***	68.89 (2.23)***	69.64 (2.44)***	66.97 (3.24)***
Years taught		0.33 (0.11)***	0.36 (0.11)***	0.31 (0.12)**	0.31 (0.13)**
Sociodemographics
Female			2.87 (2.22)	3.27 (2.39)	3.71 (2.42)
African American			−0.14 (3.69)	−0.87 (3.80)	1.06 (4.03)
Latino(a)			6.43 (3.33)*	6.88 (3.41)*	7.04 (3.50)*
Asian			3.75 (2.82)	3.03 (2.85)	2.62 (2.99)
Other			3.55 (3.12)	2.82 (3.25)	2.61 (3.30)
Language not English			−7.50 (3.00)**	−7.40 (3.06)*	−7.33 (3.26)*
Credential characteristics
Intern credential				−2.56 (2.82)	−2.45 (2.93)
Teach for America				−0.46 (2.48)	−0.08 (2.80)
Other credential program				−2.91 (2.48)	−1.11 (3.07)
Special education				2.51 (2.77)	2.23 (2.86)
Multiple subject				4.72 (2.96)	4.87 (3.01)
Single-subject English				−1.47 (3.72)	−0.89 (3.81)
Single-subject math				2.98 (5.14)	3.42 (5.23)
Other credential type				1.39 (2.70)	2.05 (2.77)
Teaching experiences
Private school					−5.33 (3.54)
Charter school					−1.22 (3.03)
Other school setting					−4.29 (3.43)
School setting
Rural					1.08 (3.50)
Suburban					1.57 (2.10)
Other geographic setting					3.65 (4.08)

Note. Standard errors in parentheses.

*

p < .05. **p < .01. ***p < .001.

Discussion

In this study, we examined areas in which practicing and preservice teachers felt high and low self-efficacy in their CRT practices and considered the various factors that might affect educators’ self-efficacy in delivering CRT. Results of our descriptive analysis revealed that the highest mean scores were in areas that involved building trust and personal relationships with students. This is encouraging, as student-centered instruction and positive relationships are important features of CRT. The lowest mean scores were in areas that involved more specific cultural knowledge, such as being able to validate students in their native language and teaching students about their culture’s contributions to science and math. Participants also reported lower levels of self-efficacy in using culturally responsive techniques and including specific cultural elements in the curriculum. These findings are concerning, as building on background knowledge by implementing curriculum that incorporates students’ cultural experiences and effectively leveraging students’ cultural capital in ways that build their academic abilities are key tenets of CRT. If teachers feel unable to build on students’ specific cultural backgrounds, they may be missing opportunities to provide classroom experiences that may help to reduce the achievement gap. Similar to past research (e.g., Rubie-Davies et al., 2012), we found that years of teaching experience had a statistically significant effect with regard to teachers’ CRT self-efficacy.

Professional development in CRT holds the potential to increase preservice and in-service teachers’ feelings of familiarity and understanding of the importance of CRT; yet, gaps still exist in teachers’ comfort with implementing principles of CRT in their practice (Fitchett et al., 2012; McKoy, MacLeod, Walter, & Nolker, 2017). Findings from our study illuminate specific areas of cultural competence (i.e., cultural knowledge, such as being able to validate students in their native language and teaching students about their culture’s contributions to scholarship) and periods in a teacher’s career (i.e., within the first 3-5 years of practice), in which targeted professional development is needed to develop CRTSE. In addition, our results indicate that teachers just entering the field may benefit from extra support as they begin working with students, as preservice teachers reported less confidence in supporting CLD students than those with more experience. Providing preservice teachers with practical application, community service learning, and mentoring opportunities may be beneficial for CRTSE development. Findings from our study contribute to a growing body of literature on ways to support the development of teachers and scholars seeking to serve diverse populations.

We found that identifying as Latino was positively related to CRT self-efficacy, but that teachers who reported a first language other than English were significantly less confident in working with CLD students—a notable contrast from Chu and Garcia’s (2014) findings. It should be noted, however, that Chu and Garcia’s study only included special education teachers, rather than participants with all credential types. Our finding may reflect an enhanced clarity about inter- and intragroup differences, causing participants to underreport confidence as a reflection of their awareness of CRT’s complexity. Nevertheless, social cognitive theory posits that self-efficacy is, in itself, a powerful predictor of behavior, which suggests that targeting teachers’ low self-efficacy may be a worthwhile pursuit, regardless of actual ability (Bouffard-Bouchard et al., 1991; Pajares, 1996).

In the context of social cognitive theory, this finding highlights important considerations for administrators designing professional trainings for teachers who identify as CLD themselves and are working with CLD students. Four sources of information affect the formation of self-efficacy: mastery experiences, vicarious experiences, verbal persuasion, and psychological and emotional states (Bandura, 1977). Given this, professional development opportunities can promote confidence and competence among teachers with low self-efficacy by harnessing positive models of effective CRT practices in real classrooms (e.g., teaching videos) to enhance vicarious experiences (Bandura, 1977; Schunk, 1998), and they should also connect learning to actual teaching experiences (Tschannen-Moran et al., 1998) in which participants apply new knowledge successfully to their instruction, facilitating mastery experiences among teachers. Because previous studies have suggested a positive correlation between linguistically diverse teachers and CRT self-efficacy, additional research on the intersections of ethnicity and language related to CRT is warranted.

We found that credential preparation type, subject type, school type, and geographic location did not have statistically significant impacts on CRTSE scores. Although prior research suggests that quality of teacher training can affect one’s feelings of self-efficacy, our results suggest that both traditional and alternative credential programs are equally able to train teachers to feel confident in working with CLD students. Teachers with experiences across subject areas and geographic locations also felt equally able to work with CLD students. It should be noted, however, that we had several findings approaching statistical significance. For example, compared with traditionally credentialed teachers, intern credential teachers reported slightly lower CRTSE scores. Teachers with an intern credential may feel less efficacious due to a potentially truncated credential program and the demands of teaching full-time while completing coursework. We also found that teachers working in private school networks reported lower than average scores compared with teachers working in traditional school settings. These factors may warrant further exploration with larger sample sizes, and administrators, especially those in secondary settings, should consider training for in-service teachers that emphasizes individualized support based on teachers’ needs, attitudes, and beliefs about CLD students.

In addition, we found that teachers with special education credentials did not differ in CRTSE scores compared with other credential types. This finding is encouraging, as special education teachers are distinctly suited to supporting diversity, and often already advocate for students with unique learning styles (Moore, 2018). Special education teachers must be prepared to address issues of disproportionality (Artiles, 2011) and to conduct culturally responsive case management (Tran, Patton, & Brohammer, 2018). It should be noted that, though we were interested in exploring any differences in scores between general and special education teachers, all teachers potentially teach CLD students with disabilities in inclusive environments. Furthermore, general education teachers are sources of referral for special education and may refer students for support because of cultural and linguistic mismatch rather than potential disability (Ahram, Fergus, & Noguera, 2011). Thus, it is imperative that general education teachers have the skills to implement CRT in ways that especially serve to prevent unnecessary referrals for special education.

Improving outcomes for CLD students requires that all teachers feel efficacious in their ability to implement CRT. Crucial areas in achieving this goal are in bolstering the quality of teacher preparation around CRT practices and developing cultural sensitivity and pedagogical tools as they relate to teaching diverse learners. Teacher educators and administrators, however, often struggle with determining what types of learning experiences may prompt teachers to make the important connections among their own cultural background and experiences, that of their students, and the curriculum they teach. In this study, through evaluating the self-efficacy beliefs of teacher candidates and practicing teachers, we aimed to provide clarity as to which factors increase teachers’ self-efficacy. Through broadening our understanding of these factors, we can improve teachers’ implementation of CRT and increase learning opportunities for all students.