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Attitudes and Opinions of Greek Teachers Regarding STEM Education

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10 February 2025

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11 February 2025

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Abstract

STEM education is a means of linking the knowledge acquired at school with the skills that individuals will develop in their working lives. It is precisely because this type of education is gaining ground worldwide that it is considered appropriate to explore the attitudes and opinions of Greek teachers towards STEM education, since they are the ones who will be called upon to implement it. In order to make a change towards this type of education, it seems appropriate to be aware of the obstacles that teachers encounter in their everyday life and to what extent they think that it can contribute. The survey was carried out in the form of a questionnaire with closed questions. The survey showed that teachers consider learning 21st century skills to be important and that they consider themselves ready to use them. They also believe that any knowledge they have acquired has come from their own initiative.

Keywords: 
;  ;  
Subject: 
Social Sciences  -   Education

1. Introduction

STEM education (STEM stands for Science, Technology, Engineering, Mathematics) has emerged from the need for a more substantive approach to teaching Natural Sciences and Mathematics [1], triggered by the changes in the global economy [2], as well as the need to maintain the competitiveness of national economies [3]. Training professionals in STEM fields is a common goal of countries at the international level, as trained workers in these fields can contribute to the economic development of their country and the world. [4]. From 2007 onwards, STEM education is deemed key to achieving knowledge acquisition during the school years and skills acquisition which are necessary for the professions of the future [1].
In 2003, the International Council of Association for Science Education (I.C.A.S.E.) in its Kuching (Malaysia) declaration stresses the need to link STEM education and contemporary issues such as the protection of the environment and sustainability [5]. This declaration signals a tendency of open- ness of science to society / (of an out-ward-looking science, open to society) thus providing new perspectives for this type of education. STEM education is gaining ground in education systems around the world. It is therefore a trend that we cannot ignore. After all, this type of education is associated with a number of benefits for the participating students, such as high participation rates in the educational process, high performance in standardized tests in reading, mathematics and science [6]. At the same time, through its interdisciplinary approach, it contributes to the development of 21st century skills such as creativity, critical and innovative thinking [7].
In any change in the education system, teachers are the first to adapt. One of the key requirements for STEM education to have its positive effects on the cognitive level of students is the professional development of teachers [6]. Research in Saudi Arabia concluded that students are not motivated to pursue STEM careers in the future because their teachers have limited experience in applying this education and are not effective in individual STEM fields [4]. The use of STEM methods was also highlighted, with problems mainly related to teachers’ readiness to process and teach in this way. Many misconceptions of teachers themselves about this type of teaching were observed [8]. The aim of this research is to investigate the attitudes and opinions of Greek teachers towards STEM education, as teachers’ perceptions play an important role in the effective implementation of STEM education and in shaping pedagogical practices in the classroom [4]. Through this process, we will be able to investigate whether teachers have positive attitudes towards the implementation of STEM education in their classrooms, which is a pre-requisite for its proper implementation. Research on schools in the United Arab Emirates shows that schools are biased towards the implementation of STEM education [7]. Understanding teachers’ attitudes and perceptions is essential for the successful implementation of STEM education and for sup porting teachers’ professional development [4,9]. The main purpose of this research is to answer the following questions:
  • Do demographic characteristics such as gender, age, years of experience, additional qualifications, the level at which they work, the type of employer and, finally, the subject area in which the participants hold their bachelor’s degree influence their attitudes and perceptions towards STEM education?
  • What are the teachers’ views on STEM education?
  • How did they acquire their knowledge?
  • Do Greek teachers see the potential for developing 21st century skills through STEM education?
  • What do they consider to be the main obstacles to the implementation of this type of education in the Greek reality?
  • What measures could be taken by policy makers, taking into account the views of teachers, to integrate STEM education into the Greek reality?

2. Materials and Methods

Questionnaires are a basic research tool in various scientific fields that allow the collection of useful data. Questions included can be categorized into two main categories: open-ended or closed-ended. With open-ended questions, respondents can give answers in their own words without any sort of guidance. With closed-ended questions, they are asked to choose among predetermined answers. Open-ended questions usually receive long- form answers and have two main downsides: the time and effort needed to process and compare the answers to get valid results. With closed-ended questions, the answer can be simply a yes or a no or a selection from several answers proposed. They may also propose answers on a scale [10]. The Likert scale is one such type of data collection which can be used concerning attitudes and views. The range of the scale is determined by the researcher who can use rating scales with 5 or 7 points. Answers can range for example from “very dissatisfied” to “very satisfied” or “totally disagree” to “totally agree” [10].
One of the methods that prove useful in analyzing the data collected from a questionnaire is the analysis of variance (ANOVA). This method allows us to establish if there is a statistically significant difference in means of more than two groups of the sample. T-tests are recommended to compare the means of two subgroups [11]. The questionnaire was distributed via email and social media to educators in primary and secondary education and it was open from 1 March 2024 until 31 March of the same year. The aim of the survey was to investigate the attitudes and perceptions of Greek teachers regarding STEM education and ultimately compare the findings with surveys conducted in other countries.

3. Results

Many studies have been carried out, mainly in developed countries, to assess the adequacy of STEM education received by students. There are difficulties in comparing the results of these studies, mainly related to: the different contexts of each country, the different choices made by decision makers regarding STEM education, and the pattern of equal participation of men and women [12]. In each country, STEM education is implemented in a different way, so it seems appropriate to report on how it is implemented in each country. An interesting point in the studies is that students in developing countries show more interest in STEM careers than their peers in developed countries. While most make the decision to pursue STEM education during their secondary education [13]. Therefore, the existence of this type of education at the secondary level is considered vital to the success of its goals.

3.1. STEM FIELDS

STEM education aims to integrate the four sub-disciplines to ultimately increase students’ desire to study the individual disciplines in an effective way [4,9].

3.2.1. Science

Science is defined as the systems of knowledge that are concerned with the study of the physical world, of behavior of matter and the universe. Observation, experimentation, and formulation of laws to explain natural phenomena are its core methods [14].
At the level of STEM education, science can contribute to the acquisition of skills such as using evidence to test claims, using models and representations to explain phenomena and discover new knowledge [15] and making decisions [4]. At the same time, it is necessary to use relationships that are qualitative, quantitative, spatial and temporal. The use of scientific methods [4,16] such as comparison and correlation [16] is developed. At the same time, creative thinking is developed and students can embrace scientific values [4].
The way science is taught challenges students to solve complex problems, but most of the time without any connection to applications in their daily lives. This connection can motivate students to engage with the subjects [8]. STEM education can be a powerful ally in this regard.

3.2.1. Technology

Technology is the branch of knowledge concerned with the creation of technical means and their use to deal with everyday life, the environment, and society more broadly [14]. Students’ contact with technology has been proved beneficial in that it:
  • reinforces their creativity
  • reinforces thinking at a larger scale
  • facilitates an inter-disciplinary approach of STEM fields
  • motivates them to dip into all scientific fields [13].
The concept of technology in STEM education focuses mainly on digital technologies and the fourth industrial revolution, whose pillars are artificial intelligence, engineering, and data processing [15]. It is also directly related to computer science [17]. Information literacy, media literacy and ICT (Information, Communications and Technology) literacy are key 21st century skills relating to technology. STEM education can contribute to their acquisition since it encompasses all these parameters [18]. Technological applications in everyday life can stimulate students’ interest and desire to delve into the field and through this proximity motivate them to further pursue studies or careers therein [13].
The hurdles with regard to technology come down to difficulties in navigating and searching for information in digital form as well as in evaluating the reliability of various sources. Limited technological resources in schools is another important challenge [13].
In STEM education, technology constitutes a tool for the optimization and systematization of the creation of products with environmental protection, economic efficiency, and demand as core principles [16].

3.2.2. Engineering

Engineering is the branch that uses knowledge from physics, chemistry, and other sciences and applies them to the construction of all sorts of objects [14]. Its applications are visible in everyday life; however its role is not [19]. Engineering is well-defined when it comes to the engineering profession and its applications. Whereas the profession of an engineer and its applications are well defined, the same is not true for the discipline of engineering in primary and secondary education [16]. In most cases, it is absent from the curricula [19] and when actually taught as part of STEM education, it is usually limited to a simple creative activity, such as the creation of a design [16]. Engineering can in fact contribute to or achieve the following:
  • amelioration of students’ achievements
  • development of 21st century skills
  • enhancement of students’ interest in the problem they are asked to solve
  • creation of a framework in which mathematics and science can find concrete applications in everyday life [13], engineering being viewed as a real-world context for learning mathematics and science [20]
  • promotion of communication skills enhancement of collaboration among the members of a group
  • providing an entertaining and real-world learning environment [20].
  • It lays the foundations for engagement with technology
  • Helps to motivate students to pursue vocational disciplines related to engineering design [4].
  • Integrating engineering in primary and secondary education is hampered mostly by:
  • the lack of resources and equipment required
  • negative attitudes of educators who deem the curriculum already over- loaded [13].

3.2.2. Mathematics

Mathematics is a group of sciences including algebra, geometry, calculus, the studying of quantity, numbers, shape, and space, as well as their inter- relationships by using a specialized notation [14]. Mathematics constitutes a connective link among all the other STEM disciplines since it underlies each one of them individually. However, it has not necessarily been given enough attention in STEM education. This discipline can be the source of evidence, and thus foster several 21st century skills [3]. More specifically, mathematics is a useful tool for:
  • the creation of formulas and charts that can in turn be used to describe phenomena (e.g. uniform linear motion)
  • depicting sizes/figures and trends (e.g. concentration of CO2 in the atmosphere, percentage of populations living below the poverty line)
  • measuring distances and creating shapes and lines to build an engineering design (e.g. a sports car miniature)
Mathematical literacy can contribute not only to the advancement of other STEM branches but also to the development of social sensitivity. The EU funded project MaSDiV (Supporting mathematics and science teachers in addressing diversity and promoting fundamental values) establishes a link between mathematics and science on the one hand and the development of a well-rounded personality and active citizens [3]. Mathematics helps develop logical thinking [16], which in turn can help students solve problems and face the changes in their everyday life [21]. Developing such mathematical thinking starts from the early school years, even in kindergarten [13], which reinforces the view that innovative pedagogical practices like STEM need to be applied early on.
Like with science, traditional mathematics education does not give the students the chance to apply their knowledge in everyday life, and thus demotivates them [8]. STEM education can contribute to the connection between mathematics and problems of everyday life and help improve students’ performances.
In developed countries, we observe a decline in the number of students who decide to pursue studies in mathematics at the end of their secondary education, which is a cause for concern regarding the quality of the education of future professionals, mathematics being foundational for many professions. A general lack of interest for professions related to disciplines taught at school can be attributed to teacher-centered pedagogies and heavy, demanding curricula [13].
Some researchers express concern for the place occupied by mathematics in STEM education, concern that stems from an inadequate emphasis on the role of mathematics in the comprehension of concepts of other disciplines [21]. Furthermore, mathematics in STEM education is generally used as a tool to solve problems to the detriment of deeper learning through problem-solving [15].

3.1. Survey Results

The first part of the survey consists of questions concerning demographic data, such as gender, age, education background of the teachers, years of experience, level of education at which they serve, the type of employer – public or private. For teachers in secondary education, there was an extra question concerning their specialty, according to their first degree.
Ninety educators participated altogether, 72 female, 18 male (Table 1), aged from 23 to 65 (Table 2). Of those, 58 had a master’s degree and 32 a first university degree (Table 3). 48 teachers had more than 10 years of prior experience (Table 4), 36 worked in primary education and 54 in secondary education (Table 5). The vast majority (76 respondents) worked at a public school (Table 6). Table 7 shows the field of study of respondents.
The second part of the survey comprised closed-ended questions whose aim was to investigate attitudes and knowledge of Greek educators with regard to STEM education. The first question related to what STEM education entails: an interdisciplinary approach to education to solve an everyday life problem (17,8%); a pedagogical approach whose aim is to combine knowledge from various disciplines (67,8%); a holistic approach of an issue (14,4%). It becomes readily apparent that more than half the population surveyed recognizes the need to combine knowledge from different fields (Table 8). Using then a cross tabulation or contingency table, taking into account the level of education at which the educators teach, the SPSS gives the following: the largest per- centage of those whose chose the first (75%) and second (62,3) answer teach in secondary schools. Conversely, the largest percentage of those who chose the third (69,2%) work in primary schools (Table 9). It can thus be concluded that the level of education at which the educators teach impacts their definition of STEM education (Table 10).
The following question sought to investigate the views of the sample concerning the impact of STEM education on the later choice of profession by the students. 68,9% gave a positive answer, 30% answered maybe. Only one respondent gave a negative answer (Table 11). It is safe to say that educators believe that STEM education and exposure to engineering, science and mathematics are likely to affect future choices.
Teachers’ perception of the applicability of STEM education in all levels of education – from kindergarten to high school – is positive (Table 12).
The survey also revealed a positive perception of the association of STEM education with 21st century skills. This question received no negative answer (Table 13).
Likewise, educators deem the linking of the problems dealt with in STEM education with everyday life important. (Table 14)
The following question asked educators to evaluate their own knowledge around STEM education. Here, educators appear hesitant. 71,1% of the respondents feel that they do not possess adequate knowledge to apply STEM scenarios (Table 15). The largest percentage of those respondents (64,1%) work in secondary education (Table 16). Conversely, 50% of those who deem themselves capable of applying STEM in their classroom belong to primary education and 50% to secondary education (Table 17).
The last question has to do with the ways in which teachers became familiarized with STEM education. 27% of the sample declared total ignorance; 32,2% participated in training on their own initiative; 24,4% acquired knowledge through the internet; 5% through bibliography; 4,4% through acquaintances. Only 1,1% of the sample received training via their school. (Table 18)
It is apparent that the vast majority of the respondents acquired knowledge thanks to their own initiatives, either through training or through re- search on the internet or of the bibliography. (Table 18)
The third part of the questionnaire comprised eight questions, each of which refers to a different 21st century skill. A Likert scale with 5 levels was used, from 1 corresponding to “not at all” to 5 corresponding to “a lot”. The questions aimed to reveal to what extent teachers believe that STEM education can contribute to the development of each of these skills. These skills are ranked as follows (Table 19) from the one to which STEM education can contribute the most to the one it can contribute the least, according to the views of the respondents:
  • Creativity
  • Problem-solving
  • Critical thinking
  • Team spirit
  • Lifelong learning
  • Adaptability
  • Entrepreneurial skills
  • Leadership skills
The fourth and last part of the survey comprised four Linkert scale questions with 5 levels with regard to the degree to which each of the conditions mentioned constituted an obstacle to the implementation of STEM education. The scale went from 1 to 5 (not at all to a lot). According to the data collected (Table 20), the obstacles can be classified in descending order as follows:
  • Time that students can spend in order to be able to cope with a STEM subject
  • Time teachers need to dedicate to their preparation
  • Knowledge in all fields included in STEM
  • School equipment/resources.
Subsequently, t-tests (Independent Samples Tests) were carried out with each skill and each obstacle as the dependent variable, introducing a different independent variable each time.
Gender as the independent variable did not result in a statistically significant difference, as illustrated in the Table 21 and Table 22. We may thus conclude that gender did not affect the educators’ answers.
The second t-test used prior teaching experience as the independent variable. The sample was divided into two categories: teachers with less than 10 years of experience and teachers with more than 10. Table 23 and Table 24 reveal a statistically significant difference only with regard to school equipment as a hurdle to the implementation of STEM education. Indeed, teachers with more than ten years of experience consider in-adequate equipment as more of an issue than teachers with less than ten years of experience.
No significant statistical difference was observed (Table 25) when the level of education at which served the teachers was introduced as the independent variable from the t- test (Table 26).
On the contrary, in the t-test where the first university degree of the secondary education teachers was used as the independent variable statistically significant differences were observed (Table 28). The teachers were divided into two categories: those whose degree was in a STEM related field and those with a non-STEM related one.
The statistically significant differences are observed in the following questions:
  • To what degree do you believe STEM education contributes to the development of problem-solving skills?
  • To what degree do you believe STEM education contributes to the cultivation of team spirit?
  • Are you able to dedicate enough time to the preparation of a STEM lesson?
  • Are you in possession of the necessary knowledge in all STEM fields to effectively implement STEM education?
  • The following conclusions have been reached:
  • Teachers with a degree in a non-STEM field consider the contribution of STEM education to problem-solving skills and team spirit less important (Table 27).
  • Teachers with a degree in a STEM field consider the time for preparation and knowledge in all STEM disciplines as a more significant hurdle than those with a non-STEM related degree (Table 27).
Table 27. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the field of the participants’ basic degree.
Table 27. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the field of the participants’ basic degree.
Specialty N Mean Std. Deviation Std. Error Mean
Critical thinking Non-STEM fields 42 4,10 ,692 ,107
STEM fields 27 4,33 ,620 ,119
Problem-solving Non-STEM fields 42 4,10 ,726 ,112
STEM fields 27 4,56 ,577 ,111
Leadership Non-STEM fields 42 3,71 ,774 ,119
STEM fields 27 3,74 ,859 ,165
Creativity Non-STEM fields 42 4,31 ,715 ,110
STEM fields 27 4,63 ,565 ,109
Adaptability Non-STEM fields 42 3,79 1,001 ,154
STEM fields 27 4,19 ,786 ,151
Team spirit Non-STEM fields 42 4,00 ,937 ,145
STEM fields 27 4,56 ,698 ,134
Lifelong learning Non-STEM fields 42 4,10 ,932 ,144
STEM fields 27 3,89 1,121 ,216
Entrepreneurial skills Non-STEM fields 42 4,07 ,778 ,120
STEM fields 27 3,74 1,059 ,204
School equipment Non-STEM fields 42 2,36 1,008 ,156
STEM fields 27 2,63 1,418 ,273
Preparation time Non-STEM fields 42 2,24 ,958 ,148
STEM fields 27 2,78 ,847 ,163
Time spent by students Non-STEM fields 42 2,95 ,962 ,148
STEM fields 27 3,15 ,864 ,166
Knowledge in all STEM fields Non-STEM fields 42 2,05 ,987 ,152
STEM fields 27 3,19 1,331 ,256
Table 28. This table shows the results of t-test about independent samples test.
Table 28. This table shows the results of t-test about independent samples test.
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Significance Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
One-Sided p Two-Sided p Lower Upper
Critical thinking Equal variances assumed ,073 ,789 -1,452 67 ,076 ,151 -,238 ,164 -,565 ,089
Equal variances not assumed -1,487 59,916 ,071 ,142 -,238 ,160 -,558 ,082
Problem-solving Equal variances assumed ,009 ,925 -2,776 67 ,004 ,007 -,460 ,166 -,791 -,129
Equal variances not assumed -2,917 63,877 ,002 ,005 -,460 ,158 -,776 -,145
Leadership Equal variances assumed ,122 ,728 -,133 67 ,447 ,895 -,026 ,199 -,424 ,371
Equal variances not assumed -,130 51,359 ,449 ,897 -,026 ,204 -,436 ,383
Creativity Equal variances assumed 2,996 ,088 -1,963 67 ,027 ,054 -,320 ,163 -,646 ,005
Equal variances not assumed -2,066 64,061 ,021 ,043 -,320 ,155 -,630 -,011
Adaptability Equal variances assumed ,638 ,427 -1,754 67 ,042 ,084 -,399 ,228 -,854 ,055
Equal variances not assumed -1,848 64,201 ,035 ,069 -,399 ,216 -,831 ,032
Team spirit Equal variances assumed ,918 ,341 -2,643 67 ,005 ,010 -,556 ,210 -,975 -,136
Equal variances not assumed -2,815 65,442 ,003 ,006 -,556 ,197 -,950 -,161
Lifelong learning Equal variances assumed ,397 ,531 ,829 67 ,205 ,410 ,206 ,249 -,291 ,703
Equal variances not assumed ,796 48,211 ,215 ,430 ,206 ,259 -,315 ,728
Entrepreneurial skills Equal variances assumed 3,861 ,054 1,494 67 ,070 ,140 ,331 ,221 -,111 ,773
Equal variances not assumed 1,398 43,791 ,085 ,169 ,331 ,237 -,146 ,808
School equipment Equal variances assumed 5,351 ,024 -,933 67 ,177 ,354 -,272 ,292 -,855 ,311
Equal variances not assumed -,867 42,762 ,195 ,391 -,272 ,314 -,906 ,361
Preparation time Equal variances assumed ,902 ,346 -2,387 67 ,010 ,020 -,540 ,226 -,991 -,088
Equal variances not assumed -2,452 60,412 ,009 ,017 -,540 ,220 -,980 -,100
Time spent by students Equal variances assumed ,039 ,845 -,858 67 ,197 ,394 -,196 ,228 -,651 ,260
Equal variances not assumed -,879 59,832 ,192 ,383 -,196 ,223 -,642 ,250
Knowledge in all STEM fields Equal variances assumed 1,998 ,162 -4,071 67 <,001 <,001 -1,138 ,279 -1,695 -,580
Equal variances not assumed -3,817 44,114 <,001 <,001 -1,138 ,298 -1,738 -,537
Table 29 and Table 30 illustrate that working in public or private education results in a statistically significant difference when it comes to the importance of possessing knowledge in all STEM fields. Private school teachers tend to consider it a more severe hurdle in the implementation of STEM education than teachers working in public schools.

4. Discussion

International research has shown that one of the fundamental issues with the application of STEM education in various educational systems is the teachers’ lack of knowledge regarding its application. Given that their knowledge on STEM education is directly related to the efficacy of said education and the students’ success [22], it is useful to go through the bibliography concerning teachers’ perceptions, attitudes, and knowledge. We will then proceed to study the same issues with regard to teachers in the Greek education system. The surveys will be analyzed on the basis of their commonalities.
Those referenced in [23,24,25,26] relating to teachers’ views in Constantinople, Saudi-Arabia and Greece reveal that in most part those teachers do not feel capable of applying a STEM pedagogy in their classroom. On the other hand, secondary education teachers in Liberia, according to the results of the survey referenced in [9], deem themselves generally capable of rising to the task.
Another point the results of these surveys have in common is the difficulty concerning engineering. In all surveys where teachers where asked which discipline posed the most challenges, the answer was overwhelmingly engineering [24,27,28].
According to the survey referenced in [28], teachers of science in Indonesia generally declared being acquainted with STEM education. However, in a subsequent survey [29] which included teachers of mathematics and science without prior experience, 31% declared not knowing anything about STEM education. A survey conducted in Thailand in 2017 [27] revealed that the majority of the teachers sampled (only) knew what the acronym stands for. The survey referenced in [24] reveals diverging views on STEM education and 21st century skills: the former is considered important while the latter not. In all other surveys teachers consider 21st skills important and make a connection between their acquisition and STEM education [23,28,30,31]. The survey referenced in [31] reveals differing views depending on specialty. Science teachers seem to better grasp the importance of 21st century skills, whereas primary education teachers seem to have the least appreciation com- pared to all other specialties. The survey referenced in [30] revealed that teachers with more experience (more than 10 years) had a more positive perception of 21st century skills.
As for 21st century skills taken individually, problem-solving is ranked first [30,31] followed by team spirit and creativity [30]. Acquiring skills that contribute to the students’ later professional life is deemed the least important in survey [31], whereas it is considered important in survey [29]. Entrepreneurial skills are considered the least important in survey [30]. In survey [29] associating STEM education issues with everyday life is considered meaningful, whereas it is not according to survey [24].
There is also more or less convergence with regard to the ways in which teachers came by STEM education. In most countries, teachers seem to have acquired any knowledge whatsoever on their own initiative [22,26,28,29] with most of them mentioning the internet as their primary source of information.
Teachers have identified the following barriers and challenges to actually applying a STEM pedagogy in their classroom:
  • Lack of time either in the classroom with the students or for preparation [9,24,31].
  • Difficulty establishing an interdisciplinary relation [24]
  • Lack of facilities/resources provided by the school [24,26,28,29]
  • Excessive student number per class [24]
  • Curriculum structure [24]
  • Insufficient knowledge on the teachers’ part [26,29]
  • Mobilization of the administration to ensure appropriate teacher training [29]
  • Cultivating students’ interest [26].
  • Experiential approach [26].
  • Adapting the teaching practice to students’ levels of knowledge [26].
  • Safety during experiments [26].
It is worth noting that survey [31] which concerns Vietnam reveals as the least important hurdle the spending required for the acquisition of the necessary equipment. Survey [9] has produced several other noteworthy results: no significant statistical difference was observed in the answers given on the basis of gender, years of experience and level of teachers’ education.
Conversely, the type of school – public or private – played a significant role in the answers, with teachers working in the latter being more favorable to the application of STEM pedagogies. A marginally significant difference was found between on the one hand high school teachers and on the other middle school teachers, with the former having a more positive attitude.
There was also a significant statistical difference in the type of school, with private schools scoring higher than public schools. A marginally significant statistical difference was found between those teaching in grammar schools and those teaching in secondary schools, with those teaching in grammar schools scoring higher. Considering the following research findings:
  • Teachers acquired their knowledge of STEM education on their own initiative, so they had a personal interest.
  • Most of them believe that they can do it if they can implement it.
  • They see the lack of preparation time for pupils as a major obstacle.
  • Teachers also lack the time to prepare a STEM seminar.
  • They believe that STEM education can be applied to all levels of education, starting from primary school. Taking into account the data from the international literature, according to which students can acquire motivation towards the respective professions through their participation in competitions and extracurricular activities [4].
The authors of the article suggest
(1)
The participation of students in STEM competitions, a preparation that can be done in the course of Skills Workshops, a course taught from the first to the third year of high school. The aim of the course is to develop 21st century skills, but it is not possible to prepare for a competition during the course.
(2)
Changing the Skills Labs course from one lesson to two lessons per week.
(3)
The organization of seminars on STEM education by the IEP, which in the past has organized seminars on topics such as differentiated teaching and teacher involvement, has been very successful. The responses of the teachers in the present research show the positive attitude of the teachers towards STEM education, but also their intention to develop it.

5. Conclusions

Similarly to those referenced below [23,24,25,26], this survey reveals that the majority of the participants feel that they lack the necessary knowledge to apply a STEM pedagogy in their classroom. A comparison between the results of the present survey and other published research reveals several common points. For example, in the surveys referenced in [23,28,30,31] and in the present one STEM education is deemed apt to contribute to the acquisition of 21st century skills. This conclusion has been reached after taking into account the high scores in each question asking whether STEM education can contribute to the development of each skill. Contrary to the result in survey [31], no significant divergence is observed between primary and secondary education teachers with respect to their views on the contribution of STEM education to the development of 21st century skills.
With respect to how these skills were ranked, the results of the current survey are close to those of the surveys [30,31] as far as the top positions are concerned, which are occupied by problem-solving and creativity. The entrepreneurial skills, which were ranked in the last position according to the survey [30], occupy the second to last position in the current survey.
As with the surveys [22,26,28,29] the present one confirms that any knowledge around STEM education on the teachers’ part is acquired due to their own desire and initiative. However, where in previous surveys the internet was cited as the primary source of information, in this one, seminars come first only to be followed by the internet in the second place.
Any attempt to integrate STEM education into the school curriculum, whether through the curriculum or through student participation in activities, must take into account the resources that teachers consider important to support their work [4] .

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Table 1. This table shows the gender of the sample.
Table 1. This table shows the gender of the sample.
Frequency Percent Valid Percent Cumulative Percent
Valid Male 18 20,0 20,0 20,0
Female 72 80,0 80,0 100,0
Total 90 100,0 100,0
Table 2. This table shows the age gap of sample.
Table 2. This table shows the age gap of sample.
Frequency Percent Valid Percent Cumulative Percent
Valid 23-40 39 43,3 43,3 43,3
40-65 51 56,7 56,7 100,0
Total 90 100,0 100,0
Table 3. This table shows the education background of sample.
Table 3. This table shows the education background of sample.
Frequency Percent Valid Percent Cumulative Percent
Valid First degree/Bachelor’s 32 35,6 35,6 35,6
Master’s/Doctorate 58 64,4 64,4 100,0
Total 90 100,0 100,0
Table 4. This table shows the education background of sample.
Table 4. This table shows the education background of sample.
Frequency Percent Valid Percent Cumulative Percent
Valid 0-10 42 46,7 46,7 46,7
10-35 48 53,3 53,3 100,0
Total 90 100,0 100,0
Table 5. This table shows the level in the education system than each one works.
Table 5. This table shows the level in the education system than each one works.
Frequency Percent Valid Percent Cumulative Percent
Valid Primary 36 40,0 40,0 40,0
Secondary 54 60,0 60,0 100,0
Total 90 100,0 100,0
Table 6. This table shows the number of sample that work in public an the number that work in privet schools.
Table 6. This table shows the number of sample that work in public an the number that work in privet schools.
Frequency Percent Valid Percent Cumulative Percent
Valid Public 76 84,4 84,4 84,4
Private 14 15,6 15,6 100,0
Total 90 100,0 100,0
Table 7. This table shows the specialty of each one.
Table 7. This table shows the specialty of each one.
Frequency Percent Valid Percent Cumulative Percent
Valid Humanities 31 34,4 44,9 44,9
Science 22 24,4 31,9 76,8
Engineering 1 1,1 1,4 78,3
Technology 4 4,4 5,8 84,1
Arts 3 3,3 4,3 88,4
Other 8 8,9 11,6 100,0
Total 69 76,7 100,0
Missing System 21 23,3
Total 90 100,0
Table 8. This table shows the answers in question: “STEM education is: A. an interdisciplinary approach to a problem of everyday life B. a pedagogical approach that combines knowledge from different scientific fields C. A holistic approach to an issue”.
Table 8. This table shows the answers in question: “STEM education is: A. an interdisciplinary approach to a problem of everyday life B. a pedagogical approach that combines knowledge from different scientific fields C. A holistic approach to an issue”.
Frequency Percent Valid Percent Cumulative Percent
Valid Interdisciplinarity 16 17,8 17,8 17,8
Combination of fields 61 67,8 67,8 85,6
Holistic approach 13 14,4 14,4 100,0
Total 90 100,0 100,0
Table 9. This table is a cross-tab between the question about what STEM education is and the school that the educator works.
Table 9. This table is a cross-tab between the question about what STEM education is and the school that the educator works.
DSF STEM education is : Total
Interdisciplinarity Combination of fields Holistic approach
Level Primary Count 4 23 9 36
Expected Count 6,4 24,4 5,2 36,0
% within Level 11,1% 63,9% 25,0% 100,0%
% within STEM education is: 25,0% 37,7% 69,2% 40,0%
% of Total 4,4% 25,6% 10,0% 40,0%
Secondary Count 12 38 4 54
Expected Count 9,6 36,6 7,8 54,0
% within Level 22,2% 70,4% 7,4% 100,0%
% within STEM education is: 75,0% 62,3% 30,8% 60,0%
% of Total 13,3% 42,2% 4,4% 60,0%
Total Count 16 61 13 90
Expected Count 16,0 61,0 13,0 90,0
% within Level 17,8% 67,8% 14,4% 100,0%
% within STEM education is: 100,0% 100,0% 100,0% 100,0%
% of Total 17,8% 67,8% 14,4% 100,0%
Table 10. This table shows the results of Chi-Square Tests of above question.
Table 10. This table shows the results of Chi-Square Tests of above question.
Value df Asymptotic Significance (2-sided)
Pearson Chi-Square 6,262a 2 ,044
Likelihood Ratio 6,262 2 ,044
Linear-by-Linear Association 5,481 1 ,019
N of Valid Cases 90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 5,20.
Table 11. This table shows the results of question: “Do you think that STEM education can contribute to the choice of the future profession of the students involved? A. Yes B. Maybe C. No”.
Table 11. This table shows the results of question: “Do you think that STEM education can contribute to the choice of the future profession of the students involved? A. Yes B. Maybe C. No”.
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 62 68,9 68,9 68,9
Maybe 27 30,0 30,0 98,9
No 1 1,1 1,1 100,0
Total 90 100,0 100,0
Table 12. This table shows the results in question:” Do you think that STEM education can be applied at all levels of education (Kindergartens, Elementary, Middle School, High School)? A .Yes B. Maybe C. No”.
Table 12. This table shows the results in question:” Do you think that STEM education can be applied at all levels of education (Kindergartens, Elementary, Middle School, High School)? A .Yes B. Maybe C. No”.
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 61 67,8 67,8 67,8
Maybe 23 25,6 25,6 93,3
No 6 6,7 6,7 100,0
Total 90 100,0 100,0
Table 13. This table shows the results in question: “Is it considered that STEM education can contribute to the development of 21st Century Skills?” A .Yes B. Maybe C. No”.
Table 13. This table shows the results in question: “Is it considered that STEM education can contribute to the development of 21st Century Skills?” A .Yes B. Maybe C. No”.
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 83 92,2 92,2 92,2
Maybe 7 7,8 7,8 100,0
Total 90 100,0 100,0
Table 14. This table shows the results in question: “Do you consider it necessary to connect the problem that students deal with in a STEM class with everyday life? A. Yes B Maybe C. No. ”.
Table 14. This table shows the results in question: “Do you consider it necessary to connect the problem that students deal with in a STEM class with everyday life? A. Yes B Maybe C. No. ”.
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 69 76,7 76,7 76,7
Maybe 20 22,2 22,2 98,9
No 1 1,1 1,1 100,0
Total 90 100,0 100,0
Table 15. This table shows the results in question: “Do you think you have the knowledge necessary to apply STEM education? A. Yes B. No”.
Table 15. This table shows the results in question: “Do you think you have the knowledge necessary to apply STEM education? A. Yes B. No”.
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 26 28,9 28,9 28,9
No 64 71,1 71,1 100,0
Total 90 100,0 100,0
Table 16. This table is a cross-tab between the above question an the level of teaching.
Table 16. This table is a cross-tab between the above question an the level of teaching.
Possession of required knowledge Total
YES NO
Level of education Primary Count 13 23 36
Expected Count 10,4 25,6 36,0
% within Level 36,1% 63,9% 100,0%
% within Do you possess the required knowledge? 50,0% 35,9% 40,0%
% of Total 14,4% 25,6% 40,0%
Secondary Count 13 41 54
Expected Count 15,6 38,4 54,0
% within Level 24,1% 75,9% 100,0%
% within Do you possess the required knowledge? 50,0% 64,1% 60,0%
% of Total 14,4% 45,6% 60,0%
Total Count 26 64 90
Expected Count 26,0 64,0 90,0
% within Level 28,9% 71,1% 100,0%
% within Do you possess the required knowledge? 100,0% 100,0% 100,0%
% of Total 28,9% 71,1% 100,0%
Table 17. This table shows the results of Chi-Square tests.
Table 17. This table shows the results of Chi-Square tests.
Value df Asymptotic Significance (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided)
Pearson Chi-Square 1,523a 1 ,217
Continuity Correctionb ,994 1 ,319
Likelihood Ratio 1,507 1 ,220
Fisher's Exact Test ,242 ,159
Linear-by-Linear Association 1,507 1 ,220
N of Valid Cases 90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 10,40.
b. Computed only for a 2x2 table
Table 18. This table shows the results in question: “How did you gain your knowledge of STEM education? A. Monitoring of training that took place at the initiative of the school B. Attendance of training/seminar attended on your own initiative (individually) outside the context of the school C. After searching the internet D. Bibliography E. Friends/acquaintances F. I don’t have any knowledge”.
Table 18. This table shows the results in question: “How did you gain your knowledge of STEM education? A. Monitoring of training that took place at the initiative of the school B. Attendance of training/seminar attended on your own initiative (individually) outside the context of the school C. After searching the internet D. Bibliography E. Friends/acquaintances F. I don’t have any knowledge”.
Frequency Percent Valid Percent Cumulative Percent
Valid Training offered at school 1 1,1 1,2 1,2
Training outside of the school/own initiative 29 32,2 33,7 34,9
Internet 22 24,4 25,6 60,5
Bibliography 5 5,6 5,8 66,3
Acquaintances 4 4,4 4,7 70,9
No knowledge 25 27,8 29,1 100,0
Total 86 95,6 100,0
Missing System 4 4,4
Total 90 100,0
Table 19. This table the statistics of Likert scale question: “To what extent do you think that STEM education can contribute to the development of on the part of students to develop each of the following skills.”.
Table 19. This table the statistics of Likert scale question: “To what extent do you think that STEM education can contribute to the development of on the part of students to develop each of the following skills.”.
Critical thinking Problem-solving Leadership Creativity Adaptability Team spirit Lifelong learning Entrepreneurial skills
N Valid 90 90 90 90 90 90 90 90
Missing 0 0 0 0 0 0 0 0
Mean 4,22 4,31 3,72 4,47 4,02 4,21 4,08 3,97
Std. Deviation ,683 ,664 ,765 ,640 ,924 ,868 ,951 ,867
Table 20. This table the statistics of Likert scale question: “How much of a barrier is each of the following conditions to implementing STEM education in the classroom? To what ex-tent do you think the following conditions affect the implementation of STEM education in the school where you work?”.
Table 20. This table the statistics of Likert scale question: “How much of a barrier is each of the following conditions to implementing STEM education in the classroom? To what ex-tent do you think the following conditions affect the implementation of STEM education in the school where you work?”.
School equipment Preparation time Time spent by students Knowledge in all the fields
N Valid 90 90 90 90
Missing 0 0 0 0
Mean 2,41 2,54 3,04 2,53
Std. Deviation 1,198 1,051 ,935 1,229
Table 21. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the gender of participant.
Table 21. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the gender of participant.
Group Statistics
. Gender N Mean Std. Deviation Std. Error Mean
Critical thinking Male 18 4,11 ,676 ,159
Female 72 4,25 ,687 ,081
Problem-solving Male 18 4,17 ,786 ,185
Female 72 4,35 ,632 ,074
Leadership Male 18 3,44 ,856 ,202
Female 72 3,79 ,730 ,086
Creativity Male 18 4,28 ,752 ,177
Female 72 4,51 ,605 ,071
Adaptability Male 18 3,83 ,786 ,185
Female 72 4,07 ,954 ,112
Team spirit Male 18 4,00 ,970 ,229
Female 72 4,26 ,839 ,099
Lifelong learning Male 18 3,72 1,320 ,311
Female 72 4,17 ,822 ,097
Entrepreneurial skills Male 18 3,83 1,150 ,271
Female 72 4,00 ,787 ,093
School equipment Male 18 2,67 1,328 ,313
Female 72 2,35 1,165 ,137
Preparation time Male 18 2,33 ,840 ,198
Female 72 2,60 1,096 ,129
Time spent by students Male 18 2,83 ,857 ,202
Female 72 3,10 ,952 ,112
Knowledge in all STEM fields Male 18 2,72 1,227 ,289
Female 72 2,49 1,233 ,145
Table 22. This table shows the results of t-test about independent samples test.
Table 22. This table shows the results of t-test about independent samples test.
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Significance Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
One-Sided p Two-Sided p Lower Upper
Critical thinking Equal variances assumed ,819 ,368 -,770 88 ,222 ,444 -,139 ,180 -,498 ,220
Equal variances not assumed -,777 26,475 ,222 ,444 -,139 ,179 -,506 ,228
Problem-solving Equal variances assumed 1,382 ,243 -1,032 88 ,153 ,305 -,181 ,175 -,528 ,167
Equal variances not assumed -,904 22,790 ,188 ,375 -,181 ,200 -,594 ,233
Leadership Equal variances assumed 1,131 ,290 -1,742 88 ,042 ,085 -,347 ,199 -,743 ,049
Equal variances not assumed -1,584 23,571 ,063 ,127 -,347 ,219 -,800 ,106
Creativity Equal variances assumed 1,619 ,207 -1,409 88 ,081 ,162 -,236 ,168 -,569 ,097
Equal variances not assumed -1,236 22,805 ,115 ,229 -,236 ,191 -,631 ,159
Adaptability Equal variances assumed ,901 ,345 -,970 88 ,167 ,335 -,236 ,244 -,720 ,248
Equal variances not assumed -1,090 30,838 ,142 ,284 -,236 ,217 -,678 ,206
Team spirit Equal variances assumed ,426 ,516 -1,156 88 ,125 ,251 -,264 ,228 -,717 ,190
Equal variances not assumed -1,059 23,754 ,150 ,300 -,264 ,249 -,778 ,251
Lifelong learning Equal variances assumed 11,203 ,001 -1,796 88 ,038 ,076 -,444 ,247 -,936 ,047
Equal variances not assumed -1,364 20,413 ,094 ,187 -,444 ,326 -1,123 ,234
Entrepreneurial skills Equal variances assumed 5,128 ,026 -,728 88 ,234 ,469 -,167 ,229 -,622 ,289
Equal variances not assumed -,582 21,144 ,284 ,567 -,167 ,287 -,762 ,429
School equipment Equal variances assumed ,103 ,749 1,012 88 ,157 ,314 ,319 ,316 -,308 ,947
Equal variances not assumed ,934 23,950 ,180 ,359 ,319 ,342 -,386 1,025
Preparation time Equal variances assumed 1,562 ,215 -,952 88 ,172 ,344 -,264 ,277 -,815 ,287
Equal variances not assumed -1,116 33,113 ,136 ,272 -,264 ,236 -,745 ,217
Time spent by students Equal variances assumed ,318 ,574 -1,072 88 ,143 ,287 -,264 ,246 -,753 ,225
Equal variances not assumed -1,142 28,439 ,132 ,263 -,264 ,231 -,737 ,209
Knowledge in all STEM fields Equal variances assumed ,146 ,704 ,727 88 ,235 ,469 ,236 ,325 -,409 ,881
Equal variances not assumed ,729 26,264 ,236 ,472 ,236 ,324 -,429 ,901
Table 23. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the experience of participant.
Table 23. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the experience of participant.
Prior experience N Mean Std. Deviation Std. Error Mean
Critical thinking 0-10 42 4,17 ,660 ,102
10-30 48 4,27 ,707 ,102
Problem-solving 0-10 42 4,21 ,717 ,111
10-30 48 4,40 ,610 ,088
Leadership 0-10 42 3,67 ,754 ,116
10-30 48 3,77 ,778 ,112
Creativity 0-10 42 4,50 ,672 ,104
10-30 48 4,44 ,616 ,089
Adaptability 0-10 42 4,02 ,950 ,147
10-30 48 4,02 ,911 ,131
Team spirit 0-10 42 4,33 ,816 ,126
10-30 48 4,10 ,905 ,131
Lifelong learning 0-10 42 4,24 ,821 ,127
10-30 48 3,94 1,040 ,150
Entrepreneurial skills 0-10 42 3,98 ,841 ,130
10-30 48 3,96 ,898 ,130
School equipment 0-10 42 2,10 ,983 ,152
10-30 48 2,69 1,307 ,189
Preparation time 0-10 42 2,36 ,932 ,144
10-30 48 2,71 1,129 ,163
Time spent by students 0-10 42 2,98 ,897 ,138
10-30 48 3,10 ,973 ,140
Knowledge in all STEM fields 0-10 42 2,36 1,226 ,189
10-30 48 2,69 1,223 ,177
Table 24. This table shows the results of t-test about independent samples test.
Table 24. This table shows the results of t-test about independent samples test.
. Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Significance Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
One-Sided p Two-Sided p Lower Upper
Critical thinking Equal variances assumed 1,337 ,251 -,720 88 ,237 ,474 -,104 ,145 -,392 ,184
Equal variances not assumed -,723 87,620 ,236 ,472 -,104 ,144 -,391 ,182
Problem-solving Equal variances assumed ,010 ,920 -1,298 88 ,099 ,198 -,182 ,140 -,459 ,096
Equal variances not assumed -1,284 81,022 ,101 ,203 -,182 ,141 -,463 ,100
Leadership Equal variances assumed ,060 ,806 -,643 88 ,261 ,522 -,104 ,162 -,426 ,218
Equal variances not assumed -,644 87,062 ,261 ,521 -,104 ,162 -,426 ,217
Creativity Equal variances assumed ,338 ,562 ,460 88 ,323 ,646 ,063 ,136 -,207 ,332
Equal variances not assumed ,458 83,885 ,324 ,648 ,063 ,137 -,209 ,334
Adaptability Equal variances assumed ,111 ,739 ,015 88 ,494 ,988 ,003 ,196 -,387 ,393
Equal variances not assumed ,015 85,331 ,494 ,988 ,003 ,197 -,388 ,394
Team spirit Equal variances assumed ,011 ,917 1,254 88 ,107 ,213 ,229 ,183 -,134 ,592
Equal variances not assumed 1,263 87,908 ,105 ,210 ,229 ,181 -,131 ,590
Lifelong learning Equal variances assumed 1,357 ,247 1,507 88 ,068 ,135 ,301 ,199 -,096 ,697
Equal variances not assumed 1,531 87,125 ,065 ,129 ,301 ,196 -,090 ,691
Entrepreneurial skills Equal variances assumed ,000 ,996 ,097 88 ,461 ,923 ,018 ,184 -,348 ,384
Equal variances not assumed ,097 87,584 ,461 ,923 ,018 ,183 -,347 ,382
School equipment Equal variances assumed 6,942 ,010 -2,401 88 ,009 ,018 -,592 ,247 -1,082 -,102
Equal variances not assumed -2,446 86,138 ,008 ,016 -,592 ,242 -1,074 -,111
Preparation time Equal variances assumed 1,249 ,267 -1,595 88 ,057 ,114 -,351 ,220 -,789 ,086
Equal variances not assumed -1,616 87,725 ,055 ,110 -,351 ,217 -,783 ,081
Time spent by students Equal variances assumed ,035 ,852 -,646 88 ,260 ,520 -,128 ,198 -,522 ,266
Equal variances not assumed -,649 87,747 ,259 ,518 -,128 ,197 -,520 ,264
Knowledge in all STEM fields Equal variances assumed ,069 ,794 -1,277 88 ,103 ,205 -,330 ,259 -,845 ,184
Equal variances not assumed -1,277 86,364 ,103 ,205 -,330 ,259 -,845 ,184
Table 25. This table is group statistics between the extent that STEM education can con- tribute to the development each one of the skills and the level of education that participant works.
Table 25. This table is group statistics between the extent that STEM education can con- tribute to the development each one of the skills and the level of education that participant works.
Level of education N Mean Std. Deviation Std. Error Mean
Critical thinking Primary 36 4,31 ,710 ,118
Secondary 54 4,17 ,666 ,091
Problem-solving Primary 36 4,28 ,741 ,124
Secondary 54 4,33 ,614 ,084
Leadership Primary 36 3,78 ,722 ,120
Secondary 54 3,69 ,797 ,108
Creativity Primary 36 4,50 ,561 ,093
Secondary 54 4,44 ,691 ,094
Adaptability Primary 36 4,08 ,906 ,151
Secondary 54 3,98 ,942 ,128
Team spirit Primary 36 4,03 ,941 ,157
Secondary 54 4,33 ,801 ,109
Lifelong learning Primary 36 4,19 ,749 ,125
Secondary 54 4,00 1,064 ,145
Entrepreneurial skills Primary 36 4,03 ,736 ,123
Secondary 54 3,93 ,949 ,129
School equipment Primary 36 2,39 1,178 ,196
Secondary 54 2,43 1,222 ,166
Preparation time Primary 36 2,72 1,111 ,185
Secondary 54 2,43 1,002 ,136
Time spent by students Primary 36 3,06 ,955 ,159
Secondary 54 3,04 ,931 ,127
Knowledge in all STEM fields Primary 36 2,64 1,150 ,192
Secondary 54 2,46 1,284 ,175
Table 26. This table shows the results of t-test about independent samples test.
Table 26. This table shows the results of t-test about independent samples test.
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Significance Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
One-Sided p Two-Sided p Lower Upper
Critical thinking Equal variances assumed 1,298 ,258 ,944 88 ,174 ,348 ,139 ,147 -,153 ,431
Equal variances not assumed ,932 71,789 ,177 ,354 ,139 ,149 -,158 ,436
Problem-solving Equal variances assumed ,638 ,427 -,387 88 ,350 ,700 -,056 ,144 -,341 ,230
Equal variances not assumed -,372 65,353 ,355 ,711 -,056 ,149 -,353 ,242
Leadership Equal variances assumed ,545 ,462 ,561 88 ,288 ,577 ,093 ,165 -,236 ,421
Equal variances not assumed ,572 80,085 ,285 ,569 ,093 ,162 -,230 ,415
Creativity Equal variances assumed 2,658 ,107 ,402 88 ,344 ,689 ,056 ,138 -,219 ,330
Equal variances not assumed ,419 84,553 ,338 ,676 ,056 ,133 -,208 ,319
Adaptability Equal variances assumed ,170 ,681 ,510 88 ,306 ,611 ,102 ,200 -,295 ,499
Equal variances not assumed ,514 77,117 ,304 ,609 ,102 ,198 -,293 ,496
Team spirit Equal variances assumed ,010 ,919 -1,653 88 ,051 ,102 -,306 ,185 -,673 ,062
Equal variances not assumed -1,600 66,715 ,057 ,114 -,306 ,191 -,687 ,076
Lifelong learning Equal variances assumed 1,324 ,253 ,950 88 ,172 ,345 ,194 ,205 -,212 ,601
Equal variances not assumed 1,017 87,698 ,156 ,312 ,194 ,191 -,186 ,574
Entrepreneurial skills Equal variances assumed 2,729 ,102 ,544 88 ,294 ,588 ,102 ,187 -,270 ,474
Equal variances not assumed ,572 85,880 ,284 ,569 ,102 ,178 -,252 ,456
School equipment Equal variances assumed ,013 ,911 -,143 88 ,443 ,887 -,037 ,259 -,552 ,478
Equal variances not assumed -,144 77,072 ,443 ,886 -,037 ,257 -,549 ,475
Preparation time Equal variances assumed ,161 ,689 1,316 88 ,096 ,192 ,296 ,225 -,151 ,744
Equal variances not assumed 1,288 69,696 ,101 ,202 ,296 ,230 -,162 ,755
Time spent by students Equal variances assumed ,044 ,834 ,092 88 ,464 ,927 ,019 ,202 -,384 ,421
Equal variances not assumed ,091 73,848 ,464 ,928 ,019 ,203 -,387 ,424
Knowledge in all STEM fields Equal variances assumed 1,226 ,271 ,663 88 ,254 ,509 ,176 ,265 -,351 ,703
Equal variances not assumed ,678 80,594 ,250 ,500 ,176 ,259 -,340 ,692
Table 29. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the kind of school that participant work (public or private).
Table 29. This table is group statistics between the extent that STEM education can contribute to the development each one of the skills and the kind of school that participant work (public or private).
Employer N Mean Std. Deviation Std. Error Mean
Critical thinking Public 76 4,17 ,681 ,078
Private 14 4,50 ,650 ,174
Problem-solving Public 76 4,28 ,665 ,076
Private 14 4,50 ,650 ,174
Leadership Public 76 3,70 ,749 ,086
Private 14 3,86 ,864 ,231
Creativity Public 76 4,42 ,659 ,076
Private 14 4,71 ,469 ,125
Adaptability Public 76 3,99 ,959 ,110
Private 14 4,21 ,699 ,187
Team spirit Public 76 4,21 ,853 ,098
Private 14 4,21 ,975 ,261
Lifelong learning Public 76 4,13 ,869 ,100
Private 14 3,79 1,311 ,350
Entrepreneurial skills Public 76 3,99 ,808 ,093
Private 14 3,86 1,167 ,312
School equipment Public 76 2,30 1,083 ,124
Private 14 3,00 1,617 ,432
Preparation time Public 76 2,53 1,101 ,126
Private 14 2,64 ,745 ,199
Time spent by students Public 76 3,07 ,943 ,108
Private 14 2,93 ,917 ,245
Knowledge in all STEM fields Public 76 2,38 1,188 ,136
Private 14 3,36 1,151 ,308
Table 30. This table shows the results of t-test about independent samples test.
Table 30. This table shows the results of t-test about independent samples test.
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Significance Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
One-Sided p Two-Sided p Lower Upper
Critical thinking Equal variances assumed ,054 ,817 -1,672 88 ,049 ,098 -,329 ,197 -,720 ,062
Equal variances not assumed -1,726 18,647 ,050 ,101 -,329 ,191 -,728 ,070
Problem-solving Equal variances assumed ,035 ,852 -1,160 88 ,125 ,249 -,224 ,193 -,607 ,160
Equal variances not assumed -1,178 18,375 ,127 ,254 -,224 ,190 -,622 ,175
Leadership Equal variances assumed ,004 ,952 -,716 88 ,238 ,476 -,160 ,223 -,603 ,283
Equal variances not assumed -,648 16,785 ,263 ,526 -,160 ,246 -,680 ,361
Creativity Equal variances assumed 5,789 ,018 -1,590 88 ,058 ,115 -,293 ,184 -,660 ,073
Equal variances not assumed -2,004 23,627 ,028 ,057 -,293 ,146 -,595 ,009
Adaptability Equal variances assumed ,633 ,428 -,845 88 ,200 ,400 -,227 ,269 -,762 ,307
Equal variances not assumed -1,049 23,089 ,153 ,305 -,227 ,217 -,676 ,221
Team spirit Equal variances assumed ,321 ,573 -,015 88 ,494 ,988 -,004 ,254 -,508 ,501
Equal variances not assumed -,014 16,871 ,495 ,989 -,004 ,278 -,591 ,584
Lifelong learning Equal variances assumed 4,058 ,047 1,255 88 ,106 ,213 ,346 ,276 -,202 ,894
Equal variances not assumed ,949 15,173 ,179 ,357 ,346 ,364 -,430 1,122
Entrepreneurial skills Equal variances assumed 1,579 ,212 ,512 88 ,305 ,610 ,130 ,253 -,373 ,633
Equal variances not assumed ,399 15,376 ,348 ,696 ,130 ,325 -,563 ,822
School equipment Equal variances assumed 9,318 ,003 -2,036 88 ,022 ,045 -,697 ,342 -1,378 -,017
Equal variances not assumed -1,551 15,220 ,071 ,142 -,697 ,450 -1,655 ,260
Preparation time Equal variances assumed 3,222 ,076 -,379 88 ,353 ,705 -,117 ,307 -,727 ,494
Equal variances not assumed -,494 24,873 ,313 ,625 -,117 ,236 -,602 ,369
Time spent by students Equal variances assumed ,070 ,792 ,502 88 ,308 ,617 ,137 ,273 -,406 ,680
Equal variances not assumed ,512 18,437 ,307 ,615 ,137 ,268 -,425 ,699
Knowledge in all STEM fields Equal variances assumed ,369 ,545 -2,836 88 ,003 ,006 -,976 ,344 -1,659 -,292
Equal variances not assumed -2,900 18,487 ,005 ,009 -,976 ,336 -1,681 -,270
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