Tag

School-based Agricultural Education

School-Based Agricultural Education Teachers’ Current Level of STEM Integration

Authors

Christopher J. Eck, Oklahoma State University, chris.eck@okstate.edu

Nathan A. Smith, Oklahoma State University, nathan.smith@okstate.edu

PDF Available

Abstract

Agricultural careers require a higher level of STEM comprehension and application than ever before, and SBAE teachers have the opportunity to be at the forefront of preparing the next generation of this essential workforce. The need for SBAE to prepare students for college and career readiness is evident, but a gap in the research makes it difficult for teachers to integrate STEM curriculum in their agricultural classrooms. This study implemented human capital theory to undergird the research, as the purpose of this study was to determine the current level of STEM integration in SBAE classrooms in Oklahoma and South Carolina. An exploratory, non-experimental survey research study, undergirded by the human capital theory, aimed to reach SBAE teachers in Oklahoma and South Carolina. Science was the most commonly integrated STEM component, with 91% of participants reporting regular integration in their curriculum. Overall, SBAE teachers reported being most efficacious in science, followed by math, technology, and engineering. Although this study is limited to SBAE teachers in Oklahoma and South Carolina, teacher preparation programs should consider the findings of this study as a potential need in their state related to SBAE teachers’ preparedness to integrate STEM. As this study was exploratory, additional research is essential to better support SBAE teachers.

Introduction

Science, technology, engineering, and math (STEM) preparedness is of growing concern across the United States (Bostic et al., 2020; Kuenzi et al., 2006), as students struggle to reach proficient levels in science and math (ACT, 2019; Wilmer, 2008). These current conditions beg the question, are teachers themselves prepared to teach STEM content within their curriculum (Hayes, 2017; Kuenzi et al., 2006)? School-based agricultural education (SBAE) is not exempt from this question, as McKim et al. (2017) illuminated the foundational connection of science across “all aspects of SBAE” (p. 107), providing practical application of the core content in the oldest science in the world (Ricketts et al., 2006). Additionally, science has been further emphasized in SBAE by the National Council for Agricultural Education (2012) as “a systematic program of instruction available to students desiring to learn about the science, business, technology of plant and animal production and/or about the environmental and natural resources systems” (para. 1).

Today’s agricultural careers require a higher level of STEM comprehension and application than ever before (Stubbs & Myers, 2016). Agricultural education has been described as providing a seamless avenue for applying and integrating STEM concepts (Smith et al., 2015). Moreover, agricultural education programs have shown the capability to enhance achievement in science and mathematics (Chiasson & Burnett, 2001; Conroy & Walker, 2000; Parr et al., 2006; Ricketts et al., 2006; Stubbs & Myers, 2016). The body of literature is rich with examples pertaining to the integration of specific components of STEM integration within SBAE programs. Although, those focused on integrating all four components of STEM within SBAE programs are not as vast. Researchers’ primary focus has been on the integration of science concepts into agricultural education curricula (Boone et al., 2006; Brister & Swortzel, 2009; Clark, 2013; Conroy et al., 2000; Johnson, 1996; Stripling & Roberts, 2012; Swafford, 2018a, 2018b; Thoron & Myers, 2012a, 2012b; Warnick et al., 2004; Whisenhunt et al., 2021). Over the past 30 years, numerous studies (Chiasson & Burnett, 2001; Ricketts et al., 2006) have confirmed and reinforced the value of illuminating science concepts within agricultural education classrooms on student performance and achievement outcomes. Students enrolled in agriscience courses consistently display higher science scores than students who are not (Haynes et al., 2012; Scales et al., 2009). Additionally, findings consistently show that SBAE teachers feel most efficacious in their ability to implement science concepts into their curriculum (Haynes et al., 2012; Johnson, 1996; Ricketts et al., 2006; Scales et al., 2009; Smith et al., 2015) followed by mathematics, but teachers often lack in the necessary confidence to implement elements of technology and engineering (Eck et al., 2021, Wang & Knobloch, 2020). But why? Do SBAE teachers perceive themselves to be more adequately prepared to teach concepts of biological and physical sciences due to their undergraduate coursework and teacher preparation program?

Perhaps this is the case, as SBAE teachers’ prior educational experiences have been found to impact their perceptions of STEM integration (Stubbs & Myers, 2016). Trends within agricultural teacher education preparation programs are steeped in rigorous science-based coursework but lack the same rigor when it comes to advanced mathematics and/or engineering courses. “The lesser amount of engineering and mathematics integration described by the teachers suggested the two disciplines may need more attention from teacher educators and researchers” (Stubbs & Myers, 2016, p. 98). Stripling’s and Roberts’s (2012) study of Florida preservice agricultural education teachers reported that “[m]ore preservice teachers completed an intermediate mathematics course as their highest level of mathematics than basic or advanced mathematics in high school and/or college” (p. 118). Interestingly, the study identified a lack of competency in basic mathematics skills yet also revealed a high level of efficacy in their ability to teach mathematic concepts. Studies have shown (Parr et al., 2006; Shinn et al., 2003) when math-enhanced curricula are presented within the appropriate context (e.g., agricultural power and technology), they can improve students’ comprehension and understanding of mathematical concepts within the agricultural education classroom. If preservice and in-service SBAE teachers feel efficacious teaching aspects of mathematics within their curriculum, why is there reluctance to implement mathematics within the SBAE classroom?

Despite positive attitudes toward the implementation of STEM concepts in agricultural education curriculum, barriers to integration have been identified by SBAE teachers across the nation (Haynes et al., 2012; Myers & Washburn, 2008; Thompson & Balschweid, 1999; Thompson & Balschweid, 2000; Warnick et al., 2004). Specifically, the lack of preservice and in-service professional development opportunities allowing SBAE teachers to enhance their core content knowledge in the areas of STEM was identified as a consistent barrier, inhibiting the integration of STEM concepts within the SBAE classroom (Haynes et al., 2012; Myers & Washburn, 2008; Thompson & Balschweid, 1999; Thompson & Balschweid, 2000; Warnick et al., 2004). Furthermore, the lack of funding and essential resources (Ricketts et al., 2006; Warnick et al., 2004) to integrate STEM concepts within SBAE programs and secondary education classrooms was also expressed. These barriers were coupled with a perceived lack of support from school administration, counselors, other classroom teachers, and community stakeholders regarding the integration of STEM concepts into agricultural education programs (Myers & Washburn 2008; Warnick et al., 2004), ultimately exacerbating the problem. The aforementioned barriers are a small representation of many others expressed throughout the literature pertaining to STEM integration in agricultural education. Therefore, to better facilitate the preparation of preservice SBAE teachers and meet the professional development needs of in-service teachers, an analysis of current in-service SBAE teacher perceptions of STEM integration within the SBAE classroom is essential.

Theoretical/Conceptual Framework

This study implemented human capital theory to undergird the research, as the study aimed to determine the current level of STEM integration and the self-efficacy of SBAE teachers. Specifically, the education, skills, experiences, and training (Becker, 1964; Little, 2003; Shultz, 1971; Smith, 2010; Smylie, 1996) an individual possess related to their profession are essential components of this study. Ultimately, an individual’s human capital impacts their preparedness and competence in completing trade-specific tasks (Heckman, 2000), which in the case of this study is teaching SBAE. Eck et al. (2020) connected SBAE specific human capital development with effective teaching across a complete SBAE program (i.e., classroom/laboratory instruction, FFA advisement, and SAE supervision), identifying the connection between human capital development and effective teaching in SBAE. This connection is pivotal considering the positive impact self-efficacy has on a teacher’s educational aspirations (Roy et al., 2018). Specifically, teachers who feel more efficacious have greater aspirations to improve their future human capital as an educator (Roy et al., 2018). Figure 1 depicts the development of SBAE specific human capital (i.e., the identified components of an effective SBAE teacher along with personal, professional, and environmental factors) with effective teaching in SBAE (Eck et al., 2020).

Figure 1    

Conceptual Model of Effective Teaching for School-Based Agricultural Education Teachers (Eck et al., 2020)

Using the model developed by Eck et al. (2020) as a framework to better understand the current level of STEM integration put forth by SBAE teachers and their preparedness to do so helps to identify the gaps related to the specific human capital needed by SBAE teachers (Robinson & Baker, 2013) to be effective (Eck et al., 2021). As STEM integration has been identified as an integral part of a complete SBAE program (McKim et al., 2017; Ricketts et al., 2006). Therefore, it aligns with the necessary pedagogical preparedness to be an effective SBAE teacher, as identified in Figure 1. Furthermore, effective SBAE teachers impact the human capital (i.e., learning and development) of their students through the knowledge and skills taught and the personal dispositions exhibited (Smylie, 1996) throughout the complete SBAE program. This student-specific human capital development aligns with parents who “. . . want local educators to provide children with diplomas, if not specific job skills, that will ensure fruitful participation in the economy” (Sweetland, 1996, p. 356) and is furthered by industry leaders who believe educators should produce “. . . young people who are ready to function productively in a competitive workforce” (Sweetland, 1996, p. 356). Fortunately, Roberts and Ball (2009) discussed the potential for SBAE programs to meet the needs of both parents and industry professionals by developing both college and career readiness skills. Additional research is essential to further the human capital of SBAE teachers, ultimately impacting the necessary STEM workforce of the future.

Purpose and Objectives

While the barriers to STEM integration and teacher self-efficacy related to teaching STEM has been explored, and SBAE continues to aspire to prepare students for college and career readiness, a gap in the research specifically related to STEM integration in agricultural education exists (Stubbs & Myers, 2015). Therefore, this study aimed to determine the current level of STEM integration in SBAE classrooms in Oklahoma and South Carolina. Four research objectives guided this study:

  1. Determine Oklahoma and South Carolina SBAE teachers’ current level of STEM integration.
  2. career clusters Oklahoma and South Carolina SBAE teachers integrate STEM.
  • Explain the components of STEM commonly integrated by SBAE teachers in Oklahoma and South Carolina.
  • Identify Oklahoma and South Carolina SBAE teachers’ self-efficacy related to teaching STEM.

Methods and Procedures

This exploratory, non-experimental survey research study (Privitera, 2020) aimed to reach SBAE teachers in Oklahoma (N = 467) and South Carolina (N = 153) through a census approach. The two states were selected based on similarities related to current challenges facing education (Stanford, 2023), the historical significance of agriculture, and the focus on STEM in agricultural education (Oklahoma Department of Career and Technical Education, n.d.; South Carolina Department of Education, 2023). Therefore, individual emails requesting participation were sent to all SBAE teachers in Oklahoma and South Carolina. The survey research design implemented a 16-item questionnaire developed to determine the level of STEM integration currently in SBAE programs in Oklahoma and South Carolina. Four questions were utilized for each of the four STEM components; for example, for science, SBAE teachers were asked (1) Do you regularly integrate science in their agricultural classes?; (2) What classes do you regularly integrate science in?; (3) What components related to science do you regularly integrate in the listed classes?; and (4) What is your current level of self-efficacy related to teaching science in agriculture? The same question structure (i.e., four questions with a change in STEM component) was implemented for technology, engineering, and math. Figure 2 outlines the questions used for math as an example, along with the sliding self-efficacy scale for each of the four STEM components.

Figure 2

STEM Integration in SBAE Instrument Example

If respondents reported not integrating a component per question one, they were prompted to answer why. In addition to the 16 items, six demographic questions (i.e., gender, age, certification pathway, SBAE teaching experience, highest degree earned, and the number of teachers in the program) were implemented to describe the participants. Prior to distribution, the questionnaire was evaluated for face, construct, and content validity (Privitera, 2020) by two faculty members in agricultural education and one in the College of Education, who focuses on STEM teaching and learning. Given the exploratory nature of this study and the open-ended response questions in the survey questionnaire, validity was the primary focus in the survey development, followed by experimenter bias. The research team aimed to reduce all potential biases that unintentionally could influence participants’ responses (Privitera, 2020). Finally, the survey questionnaire was pilot tested with 12 preservice SBAE teachers to further establish face and content validity. As the aim of the study was related to the current integration of in-service SBAE teachers, the pilot data was not used in past survey development. The questionnaire was distributed via individual email addresses to 153 SBAE teachers in South Carolina and 467 SBAE teachers in Oklahoma. A total of four points of contact (i.e., an initial email followed by three reminder invitations to participate) were utilized following the tailored design method to increase survey participation (Dillman et al., 2014).

Data collection resulted in 131 SBAE teachers responding to the online questionnaire after the initial participation invitation, 104 from Oklahoma and 27 from South Carolina, resulting in an overall response rate of 21.2%. The respondents were 65.2% male and 34.8% female, ranging from 22 to 66 years old. The majority (83.6%) of respondents were traditionally certified (i.e., agricultural education bachelor or master’s degree with student teaching), 13.4% were alternatively certified i.e., A route to teacher certification that varies

from short summer programs that place candidates in teaching assignments with full responsibility for students after a few weeks of training to those that offer one- or two year post-baccalaureate programs with ongoing support, integrated coursework, close mentoring, and supervision, (Darling-Hammond et al., 2002, p. 287) and 3.0% were emergency certified (i.e., “a process whereby states grant temporary teaching certificates to individuals who do not meet the standard certification criteria. Emergency teaching certificates can only be granted in cases where no certified teacher can be found to fill a given position” (Childs, 2012, para.1). The SBAE teachers ranged from first year teachers to those with over 35 years of experience, ranging from 59.7% with bachelor’s degrees to 38.8% with master’s degrees, and one reporting to have a Ph.D. The majority of respondents (53.7%) were in single teacher programs, while 38.8% reported being in two teacher departments, and 7.5% were in three teacher programs.

Although the study only reached 21.2% (n = 131) of the target population, the demographics collected allowed the researchers to compare respondent’s demographics to those of SBAE teachers in Oklahoma and South Carolina, of which the respondents were representative of the state populations based on the distribution of personal and professional characteristics (NAAE, 2022). To further address the limitation associated with a low response rate, following data collection, early (i.e., those responding following the first two contacts [n = 72]) and late respondents (i.e., those responding following the last two contacts [n = 59]) were compared based on the recommendations of Lindner et al. (2001). The comparison between the two groups resulted in no difference; therefore, the results of this study should be considered generalizable to the target audience of SBAE teachers in Oklahoma and South Carolina. Descriptive statistics were utilized to analyze the data using SPSS Version 25. Specifically, the first research objective evaluated frequencies and percentages, while research objectives two and three relied on frequencies, and the final research objective was analyzed using means and standard deviations.

Findings

Research Objective 1: Determine Oklahoma and South Carolina SBAE Teachers’ Current Level of STEM Integration

When asked if they regularly integrate each of the STEM components (i.e., Science, Technology, Engineering, and Math) in their SBAE classroom, teachers most commonly integrated science, as 90.8% (n = 119) of respondents indicated they regularly incorporate science. Adversely, engineering was the least common STEM component incorporated, with only 33.6% (n = 44) integrating it in the SBAE classroom. Table 1 outlines the level of integration for each of the STEM components.

Table 1

Frequency of SBAE Teachers Integrating STEM Components (n = 131)

STEM Componentf%
Science 119 90.8
Technology 76 58.0
Engineering 44 33.6
Math 66 50.4

Although many teachers identified integrating some STEM components, those who did not were asked why. When asked, SBAE teachers responded with “I am not a science teacher,” “I am not familiar enough with the state science curriculum to make relevant connections,” “STEM is not currently integrated into the curriculum I am using,” or “I am not comfortable teaching these components .”Some respondents went on to say that teaching STEM “is someone else’s job” or that “[they] would, but they do not know how.”

Research Objective 2: Identify the Career Clusters Oklahoma and South Carolina SBAE Teachers Integrate STEM

To address the second research objective, individual courses were grouped by their identified career cluster specified by their state. SBAE in Oklahoma and South Carolina offers 29 different classes spanning seven career clusters, including agricultural communications, agribusiness and management, agricultural power, structures, and technology, animal science, food products and processing, natural resources and environmental science, and plant and soil science. In addition to the 29 classes, three additional classes are available as introductory agricultural courses not specific to a career cluster. Introductory Courses (i.e., introduction to agriculture, introduction to agriscience, Ag 1) had highest integration of science (f = 61) and technology (f = 22). While engineering was most commonly reported in Agricultural Power and Technology (f = 25). Math had the lowest reported level of integration, with Plant and Soil Science being the most common pathway, with five teachers reporting integration. The frequency of science, technology, engineering, and math integration for each pathway is outlined in Table 2.

Table 2

Cluster Specific STEM Integration for SBAE Teachers (n = 131)

Career ClusterScienceTechnologyEngineeringMath
        
Agribusiness 0 1 0 0
Agricultural Communications 0 16 0 0
Agricultural Power and Technology 13 10 25 2
Animal Science 32 10 1 1
Environmental Service Systems 0 0 0 0
Food Science 3 0 0 0
Introductory Courses 61 22 4 6
Natural Resource and Environmental Science 11 2 0 2
Plant and Soil Science 26 5 1 5

Research Objective 3: Explain the Components of STEM Commonly Integrated by SBAE Teachers in Oklahoma and South Carolina

The third research objective aimed to explain the specific topics addressed within agriculture related to each of the STEM components. When prompted to answer what components related to science they regularly integrated into their agricultural curriculum, participants commonly responded with genetics, anatomy, photosynthesis, plant and animal cells, animal reproduction, animal nutrition, and biology. Considering technology principles, SBAE teachers reported using computers, Google classroom, Canvas, Quizlet, iCEV, PowerPoint, Promethean boards, electronic record books, online curriculum, and computer software in general. A few teachers went past the technology integration for teaching and added the usage of CNC machines, drones, cameras, survey instruments, and pH testers. Engineering elicited responses, including reading blueprints, metal fabrication, construction, surveying, project design, and small engine repair. The final component of math demonstrated teachers making connections to feed rations, mixing fertilizer, record keeping, calculating area, measurement, calculating slope, and compiling a cost list of building materials. Table 3 outlines the 14 topic areas mentioned for science, 19 for technology, seven for engineering, 12 for math, and the corresponding frequency of participants who identified integrating that topic area.

Table 3

SBAE STEM Integration Topics Addressed by SBAE Teachers (n = 131)

STEM ComponentTopicf
    
Science Genetics 21
 Anatomy 18
 Photosynthesis 14
 Plant Cells 13
 Animal Reproduction 11
 Animal Nutrition 10
 Biology 10
 Plant Classification 9
 Animal Cells 8
 Scientific Method 6
 Chemistry of Herbicides 5
 Plant Propagation 5
 Animal Processing 3
 Scientific Process of Welding 2
    
Technology Google Classroom 26
 Online Curriculum/iCEV 18
 SMART/Promethean Boards 17
 Computers 15
 Computer Software 13
 Electronic Record Books/AET 11
 PowerPoint 10
 Quizlet 7
 CNC Machines 7
 Canvas 4
 Drones 4
 GPS 4
 Cameras 3
 Survey Instruments 3
 pH Testers 2
 YouTube 2
 Microscopes 1
 3-D Printers 1
 Virtual Reality 1
    
Engineering Project Design 20
 Construction 18
 Reading Blueprints 17
 Metal Fabrication 16
 Surveying 10
 Small Engine Repair 10
 Irrigation Systems 5
    
STEM Component Topic f
Math Feed Rations 23
 Measurement 23
 Record Keeping 20
 Fertilizer Calculations 18
 Cost Sheets 17
 EPDs 14
 Yield Percentages 14
 Average Daily Gain 13
 Calculating Area 9
 Calculating Slope 9
 Soil Triangle 8
 Ear Notching 2
    

Research Objective 4: Identify Oklahoma and South Carolina SBAE Teachers’ Self-Efficacy Related to Teaching STEM

The final research objective asked SBAE teachers to report their level of self-efficacy related to teaching science, technology, engineering, and math from zero to 100, where zero was no self-efficacy, and 100 was very high self-efficacy. Respondents ranged from SBAE teachers integrating STEM for the first time to those who reported to have been integrating STEM for over 35 years. SBAE teachers in Oklahoma and South Carolina felt most efficacious in integrating science and least successful with engineering. Table 4 outlines the mean and standard deviation for teacher STEM self-efficacy for each component.

Table 4

SBAE Teacher STEM Self-Efficacy (n = 131)

STEM ComponentMeanSD
    
Science 78.20 15.73
Math 75.62 19.05
Technology 74.29 18.36
Engineering 53.07 25.95

Conclusions, Implications, and Recommendations

While this study was limited to SBAE teachers in Oklahoma and South Carolina who responded to the study (n = 131), their personal and professional characteristics were representative of those in their respective states. Science was the most commonly integrated STEM component, with 91% (n = 119) of participating SBAE teachers reporting they regularly integrate science into their curriculum. Similarly, science is the most regularly integrated STEM component with preservice SBAE teachers in multiple studies over the past 25 years (Boone et al., 2006; Brister & Swortzel, 2009; Clark, 2013; Conroy et al., 2000; Johnson, 1996; Stripling & Roberts, 2012; Swafford, 2018a, 2018b; Thoron & Myers, 2012a, 2012b; Warnick et al., 2004; Whisenhunt et al., 2021). Science being the dominant component further aligns with previous research referring to agriculture as the oldest science globally (Ricketts et al., 2006) and an applied science (Balschweid & Thompson, 2000). In the case of this study, science was followed by lower integration levels, with 58% (n = 76) integrating technology, 50% (n = 66) integrating math, and 34% (n = 44) integrating engineering.

These levels of STEM integration align with recent research related to technology and engineering integration in SBAE (Eck et al., 2021, Wang & Knobloch, 2020), which outlined a lack of concern for technology and engineering as STEM components. Although only 50% of the participants reported integrating math, the math enhanced curriculum in SBAE has significantly impacted secondary students’ math performance (Parr et al., 2006). Therefore, it is essential to further understand SBAE teachers’ level of STEM integration, including the courses for each component of STEM.   

Introductory agricultural courses (i.e., eighth or ninth-grade ag, introduction to agriculture) were the most commonly reported cluster of integration for science, technology, and math. In contrast, engineering was most frequently integrated in agricultural power and technology courses. Although much of the reported integration aligns with the career clusters, others have little to no integration even though respondents reported teaching those courses. For example, no STEM integration was reported for environmental service systems, and only one SBAE teacher reported integrating STEM in agribusiness, which was in technology. Overall, technology was integrated across most career clusters of the STEM components.  

Although technology was reported across most career clusters, the technology integration focused on classroom technologies, including computers, Google classroom, Canvas, Quizlet, iCEV, PowerPoint, Promethean boards, electronic record books, online curriculum, and computer software in general. Unfortunately, only a few SBAE teachers (n = 3) went past the technology integration for teaching and focused on integrating technology in agriculture, including the use of CNC machines, drones, cameras, survey instruments, and pH testers. Perhaps this is due to the nature of their training as they prepare to be certified teachers, focusing on teaching pedagogy and educational technologies? Additional research is warranted related to SBAE teachers’ understanding of the STEM technology integration in agriculture, as it was integrated across the most career clusters, even though respondents’ technology self-efficacy resulted in a mean score of 74.3.

Overall, SBAE teachers reported being most efficacious in science, followed by math, technology, and engineering. This corresponds with science also being the most integrated item reported in this study. In addition, many SBAE teacher preparation programs provide additional science emphasis or coursework in the undergraduate degree plans, as nearly 84% of respondents were traditionally certified. Although participants felt most efficacious in science, the mean score for self-efficacy in integrating science in agriculture was only 78.2. This C grade in science self-efficacy is concerning considering the vast body of literature focused on science integration in SBAE. Perhaps additional resources need to be developed for preservice and inservice SBAE teachers to further understand and develop skills related to STEM self-efficacy and integration.

Considering the current level of STEM integration reported by SBAE teachers in Oklahoma and South Carolina and their current level of self-efficacy to integrate STEM, we must consider how this impacts their human capital. Specifically the human capital undergirding this study focuses on career specific (Heckman, 2000) human capital (i.e., teaching SBAE) that ultimately leads to effective teaching in SBAE, according to Eck et al. (2020). This study’s levels and depth of STEM integration highlight the need for purposeful professional development for in-service SBAE teachers focusing on STEM integration in the classroom while simultaneously increasing STEM teaching self-efficacy. This supports the development of SBAE specific pedagogical preparedness (Eck et al., 2021) and better situates teachers to effectively integrate STEM, which has been identified as an integral part of a complete SBAE program (McKim et al., 2017; Ricketts et al., 2006).

Although this study was limited to SBAE teachers in Oklahoma and South Carolina, teacher preparation programs should consider the findings of this study as a potential need in their state related to SBAE teachers’ preparedness to integrate STEM. Additionally, in-service teachers reported varying levels of STEM integration, leading to the need for a scaffold approach to professional development. This approach should consider each component of STEM (i.e., science, technology, engineering, and math) along with a career cluster focus (i.e., ag communications, agribusiness and management, agricultural power, structures, and technology, animal science, food products and processing, natural resources and environmental science, and plant and soil science), allowing teachers to determine the best fit for their current level of understanding and programmatic needs. Beyond developing preservice and inservice SBAE teachers, school, district, and state-level administrators should be made aware of the rigor and relevance within SBAE classrooms, as these teachers are not only making real-world connections that lead to viable STEM careers (Bostic et al., 2020; Kuenzi et al., 2006), but they are also making relevant connections to concepts taught in classes across campus. Effective SBAE teachers ready to integrate STEM in their classroom have the opportunity to address the current struggle students face (The Condition of College & Career Readiness, 2017; Wilmer, 2008) as they attempt to reach proficient levels in science and math. Perhaps additional support and value can be placed on SBAE teachers by administrators who are aware of the effort put forth by the teacher and the potential impact agricultural classes have on students.

As this study was exploratory, additional research is essential to better understand and support in-service and preservice SBAE teachers. Therefore, this study should be replicated in other states to determine the specific needs of teachers. Likewise, an adapted study should be implemented with preservice teachers to evaluate the impact of coursework in their teacher preparation program on their preparedness to effectively integrate STEM during their clinical teaching experience and beyond. Although SBAE teachers reported integrating STEM, it is essential to consider if they really are and, if so, how? Therefore, to further understand the STEM integration of SBAE teachers, a qualitative focus group interview should be conducted to explore the current integration and barriers associated with STEM integration across career clusters. Additionally, the evaluation of in-service SBAE teacher lesson plans or the observation of SBAE classes could further the understanding of the current level of STEM integration. As research on STEM integration is expanded, SBAE Stakeholders (i.e., school administrators, state agricultural education and FFA staff, SBAE teacher educators) will better grasp the need to support the development of purposeful STEM integration training for in-service and preservice SBAE teachers.

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Meaningful Skills for the Agricultural Workforce: Assessing the Confidence Levels of Agricultural Educators to Integrate STEM into their Curriculum

William Norris, New Mexico State University, wnorris1@nmsu.edu

Lacey Roberts-Hill, New Mexico State University, lnrob@nmsu.edu

PDF Available

Abstract

Science, technology, engineering, and mathematics (STEM) has become an integral piece of agricultural education. Unfortunately, employers claim that students existing secondary and post-secondary education do not possess the necessary STEM-based skills to be successful in the workforce. Additionally, research shows inconsistent results regarding the STEM achievement of agricultural education students. These inconsistent student achievement results are coupled with gender-based disparities regarding STEM. Many female agricultural educators claim to be unconfident in their abilities to integrate some STEM concepts into the agricultural education curriculum. These issues concern the agricultural education profession, considering STEM’s importance in today’s educational environment. This study assessed the confidence of male and female agricultural educators to integrate STEM-based AFNR standards into their curriculum. A total of 399 agricultural educators were contacted in three states- Alabama, Georgia, and Florida. The response rate was 17.04% and resulted in 68 responses. The results found that female agricultural educators ranked their confidence in integrating STEM statistically lower than male agricultural educators within the Environmental Services (p = .01), Food Products and Processing (p = .02), Natural Resources (p = .03), Plant Systems (p = .05), and Power, Structural, and Technical Systems pathways (p < .001). Additionally, male agricultural educators ranked the Plant Systems, Animal Science, and Power, Structural, and Technical Systems pathways as the areas they felt the most confident integrating STEM and ranked the Biotechnology, Agribusiness, and Environmental Services pathways the lowest. The female agricultural educators ranked the Animal Science, Plant Systems, and the Natural Resources pathways as the areas they had the most confidence in integrating STEM, and they ranked the Power, Structural, and Technical Systems, Environmental Services, and Biotechnology pathways the lowest. The researchers recommend targeted professional development for educators and additional research on agricultural educators’ STEM integration confidence levels.

Introduction

For more than 100 years, the agricultural industry has become more technologically advanced and has relied heavily on science, technology, engineering, and mathematics (STEM) to propel the industry forward (Swafford, 2018). As the world population grows, the agricultural industry must increase the use of technology to produce more food with fewer resources (Frióna et al., 2019). Since agricultural education’s inception, one of its main goals has been to provide a prepared workforce for the agricultural industry (Fristoe, 2017; Martinez, 2007). According to Scherer et al. (2019), “[p]rogress and prosperity within the United States, as well as its global competitiveness, cannot remain strong if young people are not STEM-literate and well prepared to enter the workforce of STEM professionals” (p. 29). To achieve this longstanding goal of a prepared and competent workforce, agricultural education must prioritize integrating STEM skills into the curriculum to remain relevant for the 21st century (Chumbley et al., 2015; Kelly & Knowles, 2016; Smith et al., 2015; Stubbs & Meyers, 2016; Swafford, 2018; Wang & Knoblock, 2020).

While the need for STEM skills in industry is well documented in the published literature (Chumbley et al., 2015; Kelly & Knowles, 2016; Swafford, 2018; Wang & Knoblock, 2020), industry reports that students exiting secondary and post-secondary education are deficient in STEM skills (McGunagle & Zizka, 2020). According to McGunagle and Zizka (2020), “employability skills… are often under-estimated and under-trained in educational institutions, and, more specifically, in Science, Technology, Engineering, and Math (STEM) education” (p. 2). This gap between employees’ STEM skills and employers’ expectations is concerning for the agricultural education profession.

While the importance of STEM integration is apparent, agricultural education has not been adequately successful in integrating STEM (Clark et al., 2013; McKim et al., 2018; Plank, 2001). There have also been mixed results in the STEM achievement of students enrolled in agricultural education (Chiasson & Burnett, 2001; Clark et al., 2013; McKim et al., 2018; Nolin & Parr, 2013; Plank, 2001; Theriot & Kotrlik, 2009). Some researchers found that student achievement in science is significantly higher in students enrolled in agricultural education (Chiasson & Burnett, 2001; Theriot & Kotrlik, 2009), while other studies show there is no statistical difference or achievement in science is lower in students enrolled in agricultural education (Clark et al., 2013; McKim et al., 2018). In addition, some studies have concluded that achievement in mathematics is higher in students enrolled in agricultural education (Nolin & Parr, 2013), but some researchers suggest that differences in math achievement are not statistically significant or lower in agricultural education students (Plank, 2001). These conclusions are troubling for agricultural educators, considering the importance placed on STEM in today’s educational environment.

In addition to inconsistencies in the STEM achievement of agricultural education students, female agricultural educators are less confident in integrating certain STEM concepts into the agriculture, food, and natural resources (AFNR) curriculum (Smith et al., 2015). Furthermore, women are less likely to major in STEM at the post-secondary level (Beede et al., 2011; Bloodhart et al., 2020; Koch et al., 2022) and are less likely to enter STEM professions (Beede et al., 2011). These gender-based disparities could cause female agricultural educators to integrate less STEM into their agricultural education courses, reducing their students’ exposure to STEM in the context of AFNR.

The inconsistencies in STEM achievement of agricultural education students (Chiasson & Burnett, 2001; Clark et al., 2013; McKim et al., 2018; Nolin & Parr, 2013; Plank, 2001; Theriot & Kotrlik, 2009) combined with gender-based aversions towards STEM (Beede et al., 2011; Bloodhart et al., 2020; Koch et al., 2022) will require school-based agricultural education (SBAE) to identify successful methods of integration that allow for the differentiation of instruction and are effective for a diverse audience. Scherer et al. (2019) stated, “[o]nce again, the education community has embraced a slogan without really taking the time to clarify what the term might mean when applied beyond a general label” (p. 28). To increase the clarity behind STEM integration into agricultural education, it is vital to understand the differences in confidence levels of male and female agricultural educators to integrate specific STEM-based AFNR standards into curriculum.

Purpose and Objectives

The purpose of this study was to assess the confidence levels of male and female agricultural educators in Alabama, Georgia, and Florida to integrate STEM into their curriculum. The following research objectives were assessed:

  1. Evaluate statistical differences in the confidence levels of male and female agricultural educators to integrate STEM standards into the pathways of AFNR curriculum.
  • Determine the confidence levels of male and female agricultural educators to integrate specific STEM-based standards into the pathways of AFNR curriculum.

Theoretical Framework

This study was guided by Becker’s (1993) human capital theory (HCT). The HCT is based on the acquisition of skills, knowledge, experiences, and education (Becker, 1964; Smith, 2010; Smylie, 1996). In education, human capital is most often increased through professional development, experience, and specialized training (Becker, 1993). As individuals increase their skills and abilities, their effectiveness within their profession should subsequently increase (Becker, 1964). An effective educator has been noted as the largest predictor of student achievement (Eck et al., 2019, 2020, 2021). In the context of this study, agricultural educators’ confidence in integrating STEM concepts into the AFNR curriculum is directly related to their human capital inputs within STEM. As agricultural educators are provided with relevant professional development, experience, and training within STEM integration, their abilities should increase; therefore, their confidence and effectiveness should also increase. While STEM integration into the AFNR curriculum has been prioritized for decades, the mixed results of agricultural education students’ achievement in STEM raises concerns about the human capital inputs offered to educators in this area. The interaction between agricultural educators and the HCT is depicted in Figure 1.

Figure 1

Framework for Human Capital’s Effect on Agricultural Educator’s Ability to Integrate STEM

Note. Developed From Becker (1993).

Methods

Participants

This study utilized a descriptive correlational research design to assess the confidence levels of male and female agricultural educators in Alabama, Georgia, and Florida to integrate STEM into their curriculum. The demographics of the participants are detailed in Table 1.

Table 1

Demographics of Participating Agricultural Educators in Alabama, Georgia, and Florida.

Note. n = 68

Of the most notable demographic information collected, 56.2% of participating agricultural educators were male, and 43.8% were female. Approximately 87.5% were white, and 10.9% were African American. Additionally, 59.4% of participants had a master’s degree or higher, and 81.3% were traditionally certified. Furthermore, 53.1% of participants taught in a one-teacher program.

Instrumentation

The instrument used in the study was delivered by Qualtrics to male and female agricultural educators, and it evaluated educators’ level of confidence to integrate specific STEM-based AFNR standards into agricultural education curriculum. The instrument was modified from Norris (2021). The statements regarding STEM were developed from the agriculture, food, and natural resources (AFNR) standards crosswalk produced by the National Council for Agricultural Education (2015). These AFNR standards were cross-walked with the Common Core Mathematics standards, Next Generation Science Standards, and the STEM sections of the Green/Sustainability Knowledge and Skill Statements to identify the STEM-based AFNR standards. The standards included in the instrument are listed in Table 3 by pathway. The statements were abbreviated from their original form for reporting purposes, but an effort was made to maintain the original intent. The confidence levels of agricultural educators were assessed using a Likert-type scale that ranged from 1 = Not Confident at All, 2 = Somewhat Confident, 3 = Moderately Confident, 4 = Very Confident, and 5 = Extremely Confident.

The researchers chose not to conduct a pilot study because the reliability and validity of the instrument were assessed by Norris (2021) in a previous pilot study. To further assess the instrument for this specific population, the researchers formed a panel of two faculty at New Mexico State University to assess the instrument for content, construct, and face validity. In addition, instrument reliability was assessed post hoc utilizing a Cronbach’s alpha reliability test on each pathway. The reliability coefficients for each pathway in the instrument ranged from .90 to .99. According to Ary et al. (2010), a reliability coefficient greater than .9 is considered an acceptable level of reliability. These results suggest there are no issues with the reliability or validity of the instrument.

Data Collection

A list of agricultural educators and their email addresses was collected using resources from online agricultural educator directories. This produced a list of 99 viable emails in Alabama, 185 viable emails in Georgia, and 115 viable emails in Florida (N = 399). These states were purposively selected due to their close geographical proximity to each other and their similarities in SBAE programming. According to Ramsey and Schafer (2012), a total of 30 responses are needed for quality descriptive research. In this study, a response rate of 17.04% (n = 68) was achieved.

To evaluate non-response bias, the researchers employed independent samples t-tests to compare the differences between early responders and late responders (Lindner, et al., 2001). Following the approach suggested by Dillman et al. (2014) to elicit responses, participants were sent an introductory email, followed by three reminder emails. Those who responded after the initial introductory email (n = 28) were classified as early respondents, while those who responded after the three reminder emails (n = 40) were categorized as late respondents. No statistical differences were found, suggesting there are no non-response bias issues.

Data Analysis

To appropriately apply parametric statistics for the analysis of Likert scale data, it is necessary to group five or more items together to create constructs (Johnson & Creech, 1983; Norman, 2010; Sullivan & Artino, 2013; Zumbo & Zimmerman, 1993). This grouping is essential as Likert scale data is considered ordinal in nature. In this study, the STEM-based AFNR standards were combined to form constructs between each pathway. To evaluate research objective one, independent samples t-tests were utilized to assess statistical differences between the confidence levels of male and female agricultural educators to integrate STEM into the AFNR curriculum. In research objective two, central tendencies were utilized to further delineate the data and evaluate each individual STEM-based standard by the male and female agricultural educators’ confidence level to integrate each specific standard.

Limitations

Due to the limited response rate (17.04%), the researchers caution against generalizing these results beyond the participating agricultural educators. Moreover, despite the instrument’s robustness, it is improbable that it comprehensively assessed every STEM-based AFNR concept integrated into agricultural education.

Results

Research Objective One

Research objective one was assessed using independent samples t-tests on each AFNR pathway. The results of the independent samples t-test found statistically significant differences in the confidence levels of male and female agricultural educators to integrate STEM-based AFNR standards into the Environmental Services Pathway t(66) = 2.57, p = .01, Food Products and Processing Pathway t(66) = 2.38, p = .02, Natural Resources Pathway t(66) = 2.23, p = .03, Plant Systems Pathway t(66) = 1.95, p =.05, and the Power, Structural, and Technical Systems Pathway t(66) = 7.13, p < .001. The Agribusiness Pathway t(66) = 1.89, p = .06, Animal Science Pathway t(66) = .24, p = .82, and the Biotechnology Pathway t(66) = .33, p = .74 all had statistically insignificant effects. According to Cohen (1988), Cohen’s d is interpreted as a small effect = .20, medium effect = 0.50, and a large effect = .80. The analysis suggested that the Environmental Services Pathway (Cohen’s d = .63), Food Products and Processing Pathway (Cohen’s d = .58), Natural Resources Pathway (Cohen’s d = .56), and the Plant Systems Pathway (Cohen’s d = .48) all had moderate effect sizes (Cohen, 1988). In addition, the Power, Structural, and Technical Systems Pathway (Cohen’s d = 1.74) had a large effect size (Cohen, 1988). The complete results of the t-tests are reported in Table 2.

Table 2

Results for the t-test Assessing STEM Integration Confidence of Male and Female Educators

Note. Α = .05. Cohen’s d is interpreted as a small effect = .20, medium effect = 0.50, and a large effect = .80. The Likert scale ranges from 1 = Not Confident at All, 2 = Somewhat Confident, 3 = Moderately Confident, 4 = Very Confident, and 5 = Extremely Confident.

Research Objective Two

Research objective two aimed to further delineate the data by evaluating differences in male and female agricultural educators’ confidence to implement each individual STEM-based AFNR standard. The results from research objective two are reported in Table 3.

    Table 3

    Descriptive Statistics Describing the Individual STEM-based AFNR Standards by Sex

  Note. 1 = Not Confident at All, 2 = Somewhat Confident, 3 = Moderately Confident, 4 = Very Confident, and 5 = Extremely Confident

Within the Agribusiness Pathway, both male and female agricultural educators rated “Develop, assess and manage cash budgets to achieve AFNR business goals” (Male, M = 3.42, SD = 1.13; Female, M = 3.03, SD = .96) as the standard they were the most confident in implementing. Male and female agricultural educators both ranked “Demonstrate management techniques that ensure animal welfare” (Male, M = 3.89, SD = 1.18; Female, M = 3.87, SD = .97) the highest within the Animal Science Pathway. Within the Biotechnology Pathway, male and female participating agricultural educators both selected “Demonstrate management techniques that ensure animal welfare” (Male, M = 3.13, SD = 1.23; Female, M = 3.20, SD = 1.19) as the standard they were most confident in implementing. Within the Environmental Science Pathway, male agricultural educators ranked “Demonstrate management techniques that ensure animal welfare” (M = 3.45, SD = 1.01) as the standard they had the most confidence in implementing, but female agricultural educators ranked “Apply ecology principles to environmental service systems” as the highest standard (M = 3.24, SD = 1.15). The male and female agricultural educators both ranked “Implement selection, evaluation and inspection techniques to ensure safe and quality food products” (Male, M = 3.46, SD = 1.20; Female, M = 3.07, SD = 1.26) as the Food Products and Processing Pathway standard they had the most confidence in implementing. Within the Natural Resources Pathway, the male agricultural educators ranked “Classify different types of natural resources in order to enable protection, conservation, enhancement, and management in a particular geographical region” (M = 3.61, SD = 1.08) as the standard they felt the most confident in implementing, while female agricultural educators selected “Assess the impact of human activities on the availability of natural resources” (M = 3.13, SD = 1.14) as the standard they felt the most confidence in implementing. Male and female agricultural educators both selected “Apply knowledge of plant anatomy and the functions of plant structures to activities associated with plant systems” as the STEM-based standard in the Plant Systems Pathway they were the most confident in implementing. Within the Power, Structural, and Technical Systems Pathway, the male agricultural educators selected “Apply electrical wiring principles in AFNR structures” (M = 3.76, SD = 1.13) as the STEM-based standard they felt the most confident in integrating, while the female agricultural educators selected “Apply physical science and engineering principles to assess and select energy sources for AFNR power, structural and technical systems” (M = 2.10, SD = .96) as the standard they were the most confident in implementing.

Discussions, Conclusions, and Recommendations

Throughout agricultural education’s history, ensuring a prepared and competent workforce has been a major objective (Fristoe, 2017; Martinez, 2007). It is noted throughout the published literature that STEM skills are a critical component of a workplace (Scherer et al., 2019; Swafford, 2018). While STEM skills are vital to success, the industry currently claims that students exiting secondary education are not adequately prepared in the areas of STEM (McGunagle & Zizka, 2020). In addition, many studies suggest that women are choosing not to major in STEM (Beede et al., 2011; Bloodhart et al., 2020; Koch et al., 2022) and are not entering STEM-based career fields (Beede et al., 2011).

The first research objective assessed statistical differences between the confidence levels of male and female agricultural educators to integrate STEM into the AFNR curriculum. Overall, statistical differences were found in five of the eight pathways including the Environmental Services, Food Products and Processing, Natural Resources, Plant Systems, and the Power, Structural, and Technical Systems pathways. This result was consistent with Smith et al. (2015), who found that female agricultural educators have less confidence in integrating engineering into agricultural education. This is particularly concerning for the agricultural education profession since the number of female agricultural educators has increased exponentially over the last 50+ years (Enns & Martin, 2015).

The second research objective further delineated the data by evaluating each STEM-based AFNR standard for differences in the confidence levels of male and female agricultural educators to integrate STEM. Overall, male participants selected the Plant Science, Animal Science, and Power, Structural, and Technical Systems pathways as the areas they were the most confident in integrating STEM. Inversely, the areas that male agricultural educators had the least amount of confidence in integrating STEM were the Biotechnology, Agribusiness, and Environmental Services pathways. Female agricultural educators reported being the most confident in integrating STEM into the Animal Science, Plant Systems, and Natural Resources pathways. Furthermore, female agricultural educators ranked the Power, Structural, and Technical Systems, Environmental Science, and Biotechnology pathways as the areas they felt least confident in implementing STEM. Overall, male and female agricultural educators ranked two of the same pathways as the highest and two of the same pathways the lowest. The most significant difference in this objective was the large variations in confidence within the Power, Structural, and Technical Systems pathway. This result is consistent with Yopp et al. (2020) who found statistically significant differences in the professional development needs of female and male agricultural educators within the Power, Structural, and Technical Systems pathway.

Based on the results of this study, the researchers recommend providing agricultural educators with targeted professional development on STEM integration. For example, professional development for female agricultural educators within the Power, Structural, and Technical pathway may be beneficial to increase their confidence in integrating STEM into the AFNR curriculum. This targeted and pertinent professional development will help increase the human capital input for agricultural educators (Becker, 1993).

Recommendations for future research include evaluating teacher preparation programs’ STEM integration training and assessing the current professional development options for agricultural educators. Additionally, Fernandez et al. (2020) found that there will be a continued demand for employees in AFNR jobs, but there is a lack of students trained specifically in STEM and AFNR fields at the postsecondary level. Furthermore, the pool of available college graduates trained in STEM and AFNR lacks diverse representation (Fernandez et al., 2020). To counter these findings, the researchers recommend assessing the confidence levels of agricultural educators who teach STEM in traditionally underserved populations. To improve the pipeline of future AFNR employees, it is important to measure these agricultural educators’ abilities and confidence levels to integrate STEM into agricultural education curriculum. By improving the exposure to and training of STEM and AFNR careers in secondary education, interest and involvement from underserved populations could increase at the postsecondary level for a diverse AFNR workforce (Burt & Johnson, 2018; Maltese et al., 2014; Maltese & Tai, 2010; Williams et al., 2016).

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