Research Article Volume 6 Issue 3
Department of Psychology, Najran University, Saudi Arabia
Correspondence: Muhammad Othman Al-Mehasi, Department of Psychology, Najran University, Saudi Arabia
Received: March 28, 2016 | Published: July 25, 2016
Citation: Al-Mehasi MO, Al-Sumaili HI (2016) Burnout and It's Relation to Some Variables among Scholars of Diploma of Guiding and Counseling Psychology. J Psychol Clin Psychiatry 6(3): 00358. DOI: 10.15406/jpcpy.2016.06.00358
This study is an attempt to survey the burnout level and its relation to some variables among a sample of scholars of Diploma of Guiding and Counseling Psychology, Najran University. The researchers used the descriptive analytical method for a sample of (129) scholars that were selected randomly from the original study population numbered (150) scholars for the academic year 2013/2014. The teacher burnout scale of Siedman & Zager was used in this study. The researchers made sure of the validity and reliability of this scale. The statistical program (SPSS) was applied to the sample and the results indicate that most of the scholars suffer from various levels of burnout. There are statistically significant differences in burnout among scholars due to gender; age, academic major, academic qualification, marital status and teaching experience. There are no statistically significant differences in burnout among scholars attributed to academic specialization. The study concluded with some of the recommendations and suggestions that would help scholars overcome burnout and stress in order to make them more effective, adaptable and happy.
Keywords:burnout, scholars, variables, najran university
Burnout is considered one of the most complicated psychological and social phenomena. It is affected by technological advance, but some researchers perceive it as a result of the gap emerged from recent advances. In this connection, many studies indicate that psychological stresses cause about (80%) of the diseases of this age. Different communities have seen a marked increase in the institutions that provide the necessary services needed to meet the rapid changes in all aspects of life, thereby the psychological and social services have been greatly developed that will help the individual adapt to the developments and challenges of the time. In education, the teacher is an essential element in the teaching-learning process. For various reasons, scholars undergo some circumstances which they cannot control, and eventually feel unable to properly perform the tasks required from them as expected by administrators and decision makers, as well as the seriously negative effects they have on students. According to Jason,1 Ozdemir,2 and Colangelo,3 scholars are exposed to various negative experiences and situations related to the teaching process which are reflected on their trends and feelings towards others and the work. They also affect the scholars’ achievement and cause burnout.
Various obstacles and pressures appear in many occupations, especially with a human and cooperative nature of occupations. These obstacles prevent the employees to do their required duties to the full. Burnout is one of the phenomena that have attracted the attention of researchers over the past thirty years; where they addressed burnout as a result of occupational stress, and some other reasons, and it was described as more frequent among service occupations. The researchers focused their research heavily on the teaching occupation as it is one of the most occupations that cause stresses; researchers have dealt with its symptoms, causes, and impact on the scholars, and its effect upon their students and colleagues and their work in general.4 Thus, studying of burnout may benefit the teacher, the student and the educational process; where it is possible to avoid negative effects on the teacher; and accordingly improve teacher relationships with those around him, including students, as well as improving the educational process.
The current study seeks to identify the relationship between burnout and some of the variables, and then answer the following questions:
The present study aims to investigate the burnout level among a sample of scholars and its relationship to some psychological and educational variables and identify the psychological and professional stresses leading to their burnout.
Significance of the study
Theoretically, the importance of this study based on information provision of subject matter of the study and the important targeted sample i.e. scholars, who are more liable to burnout.
As for the application side, the study importance lies in that identifying the burnout level faced by scholars would help them:
Terms of the Study
Burnout: Burnout is defined as a function of stress individuals feel in their social and professional life,5 loss of aim, energy and idealism towards job,6 exhaustion and tiredness because of a decrease in physical and emotional energy.7 Maslach et al.,8 conceptualized burnout in three dimensional phenomenon, these are exhaustion, depersonalization and accomplishment. As a result of burnout individual’s performance at work decreases and it causes damages in his health both physically and psychologically at behavioral level. Seidman & Zager, quoted in,9 defined burnout as: a negative pattern of responses to stressful teaching, the students and the teaching profession, as well as the realization that there is a shortage in the support and endorsement by the school administration. But the procedural definition of burnout within the limits of this study is the scores earned by the respondents by answering the scale used in the study.
The study is limited to “Teacher Burnout and its Relation to some Variables” and is determined by a sample of scholars in Najran, KSA. The study conducted in the second semester of the academic year 2013/2014.
Most researchers agree that burnout can be defined as “a state of exhaustion or physical and emotional drain; as a result of continuous vulnerability for hypertension, and burnout is represented in a range of negative phenomena including: fatigue, exhaustion, a sense of helplessness, loss of concern for others, loss of interest in work, ridicule from others, depression, uncertainty in the value of life, and social relations in the negative self-concept.”.10 Maslash & Jackson11 defined burnout as “the individual’s sense of Emotional Exhaustion, Depersonalization, and Lower Personal achievement.” Emotional exhaustion, in the teaching profession, happens when the teacher has a feeling of tiredness and fatigue that develops when emotional energies are drained. As a result, the scholars find that they cannot give their best to students as they once could. Scholars experience depersonalization when they do not have positive feelings about their students. For example, they show cold, callous, negative, and indifferent attitudes toward them and sometimes resort to physically distancing themselves from the students. Depersonalization usually develops in response to the overload exhaustion.12 The lower personal accomplishment or inefficacy occurs when scholars feel that they can no longer help the students learn and grow. In other words, their feelings of competence and successful achievement in relation to the students decrease. Among the three dimensions, emotional exhaustion represents the basic experience of an individual stress.11,12 Burnout is a state of emotional, mental, and physical exhaustion caused by excessive and prolonged stress. It occurs when you feel overwhelmed and unable to meet constant demands. As the stress continues, you begin to lose the interest or motivation that led you to take on a certain role in the first place.
Burnout reduces your productivity and saps your energy, leaving you feeling increasingly helpless, hopeless, cynical, and resentful. Eventually, you may feel like you have nothing more to give. Studies conducted with scholars about their burnout level include variables such as age, sex, seniority, type of school graduated from, their subject, type of school they work, self-efficacy, socioeconomic level, satisfaction with work atmosphere depression.7,13‒19
Causes of burnout: But burnout is not caused solely by stressful work or too many responsibilities. Other factors contribute to burnout, including your lifestyle and certain personality traits. What you do in your downtime and how you look at the world can play just as big of a role in causing burnout as work or home demands.
Work-related causes of burnout
Lifestyle causes of burnout
Symptoms of burnout: Many scientific and research studies indicated that the symptoms of burnout lie in the following:
A study by DiAnn20 conducted to investigate whether individual differences in the dispositional characteristics of optimism and extraversion led to less stress and, concomitantly, to less occupational burnout in a population of 108 scholars in one southern California school district. An additional aim was investigating whether coping strategies employed by optimists and extraverts either moderated or mediated levels of perceived stress. Optimists reported significantly less stress and burnout than pessimists, and pessimists were significantly more likely to use negative coping strategies. Extraverts tended to use social support coping strategies and were significantly less likely than introverts to experience burnout. However, no evidence was found of optimists and extraverts using problem-solving coping, or of a significant correlation between extraversion and stress. Coping strategies neither moderated nor mediated stress. Results found one third of respondents experiencing burnout. Stress was highest among youngest scholars, females, and those with least experience.
Butler, K and Constantine, M21 examined the relationship between collective self-esteem (i.e., the extent to which school counselors possess favorable perceptions of their professional or social group) and professional burnout in a sample of (533) school counselors. They also explored whether there were significant differences in professional burnout in school counselors by sex, geographic location of work setting, and number of years employed as a school counselor. Results indicated that higher collective self-esteem generally was associated with lower professional burnout. Moreover, the authors found that school counselors working in urban school environments reported significantly higher levels of burnout than did their peers working in other types of school environments. Furthermore, school counselors who had been employed in their roles for 20years or longer reported higher levels of burnout than did their counterparts working fewer than 10years. Gavrilovici22 studied the burnout level of 178 scholars in primary, secondary, high schools, and special schools in Iasi County of Romania during the period 2007-2009. The results showed that emotional exhaustion of scholars with work experience of more than 17years was significantly higher than scholars with less work experience. In contrast, no significant differences were found between the scholars’ work experience and their levels of depersonalization and reduced personal accomplishment. Likewise, gender and marital status did not show any effect on any dimension of the burnout.
With respect to the studies that dealt with burnout and its relation to personality, Mohammed8 indicated that the most experienced scholars are less burning than scholars with less experience and burnout leads to vulnerability to anxiety, high blood pressure; regarding the personality impact on burnout, pattern (A) was positively associated with the professional pressures as in a study conducted by Ibrahim & Mashaan.24 Mahmoud23 pointed that normal personality traits self-systematic, control and emotional stability make the teacher more able to cope with work pressures and burnout; as opposed to abnormal personality traits tension and impulsiveness make the teacher more susceptible to the pressures of work and burnout. Hashim25 showed that personality traits (psychotic and neurotic and locus of control) can predict the level of burnout, which is in line with the results of Maqablah,25 where it showed that those with external locus of control are more susceptible to burnout than those of internal control. Concerning the impact of academic qualification and gender, Mahmoud22 pointed that secondary school scholars are more susceptible to burn out than primary school scholars; and regarding gender impact, DiAnn19 indicated that females were more susceptible to burnout than males, the same result shown by Maqablah,23 who pointed out that female scholars are suffering from burnout more than male scholars; while Mohammed8 conveyed that there are no differences in burnout among male and female scholars which is not consistent with the hypothesis of the current study.
Seidman & Zager Burnout Scale (1986)
The scale aims to identify the burnout levelfor scholars, consisting of (21) items divided into four sub-dimensions that measure: professional dissatisfaction (1-5-10-12-19), lower administrative support as perceived by the teacher (3- 8 -11-15-18-20), professional pressures (2-4-7-9-13-14), and the negative attitude towards students (6-16-17-21). Each item includes the sense or feeling felt by the teacher as a result of the exercise of the teaching profession, respondents are required to answer the questionnaire, based on the type of Likert scale with (5) responses arranged as follows: strongly agree =5, agree = 4, undecided = 3, disagree = 2, strongly disagree = 1.
Validity of the scale
The scale had been reviewed by a group of professors (reviewers) specialized in the field of education and psychology in order to express their own opinion (Table 1).
S. No |
Dimensions |
N |
Mean |
Standard Deviation |
|
1 |
Professional dissatisfaction. |
129 |
3.0326 |
0.76067 |
|
2 |
Professional pressures. |
129 |
2.7119 |
0.53064 |
|
3 |
Lower administrative support. |
129 |
2.5891 |
0.73334 |
|
4 |
Negative attitude towards students |
129 |
2.7829 |
0.60384 |
|
5 |
Total |
129 |
2.7791 |
0.3878 |
|
|
Valid N (list wise) |
129 |
|
|
Table 1: Differences of order between scale dimensions
Burnout scale reliability test
The researchers used two methods:
The present study was conducted as a survey among scholars to identify their burnout levels. The two researchers used the descriptive method in the form of a survey that suits the nature and objectives of the study. As for statistical treatment, findings of the present study were analyzed by using the Statistic Package for Social Sciences SPSS.
Population of study
The current study conducted among a sample of scholars in Najran, KSA for the academic year 2013/2014. The study population consists of (150)scholars shown in the following Table 2 &3.
|
Males |
Females |
Total |
No. of Respondents |
|
No. of scholars |
70 |
80 |
150 |
129 |
Table 2 Number of scholars
Characteristics |
Males |
Females |
Percentage |
Total |
Age |
||||
≥ 35 years |
50 |
69 |
92.20% |
119 |
>35 years |
6 |
4 |
7.80% |
10 |
Total |
56 |
73 |
100% |
129 |
Gender |
||||
Male |
0 |
73 |
56.60% |
73 |
Female |
56 |
0 |
43.40% |
56 |
Total |
56 |
73 |
100% |
129 |
Specialization |
||||
Scientific |
33 |
33 |
51.20% |
66 |
Humanities |
23 |
40 |
48.80% |
63 |
Total |
56 |
73 |
100% |
129 |
Marital Status |
||||
Married |
36 |
21 |
44.20% |
57 |
Single |
20 |
52 |
55.80% |
72 |
Total |
56 |
73 |
100% |
129 |
Teaching Experience |
||||
< 5 years |
42 |
50 |
71.30% |
92 |
5-10 years |
7 |
12 |
14.70% |
19 |
< 10 |
7 |
11 |
14.00% |
18 |
Total |
56 |
73 |
100% |
129 |
Table 3 The characteristics of the sample in the study population
The study tried to identify the levels of burnout of the scholars in Najran, KSA. This is done according to the variables of age, gender, scientific qualification, teaching experience and marital status.
Table 4 shows the factors affecting the formation of burnout among respondents depending on their importance, so the first dimension (professional dissatisfaction) represents the highest dimensions of burnout with a mean = (3.03), followed by the fourth dimension (the negative attitude towards students) with a mean = (2.78), followed by the total dimensions with a mean (2.77), then the second dimension (professional pressures) with a mean = (2.71) and finally the third dimension (lower administrative support) with mean = (2.58), which explains the existence of this correlation between burnout dimensions and total score of all dimensions. The findings related to the second hypothesis: “Are there statistically significant differences between burnout levels among the participant scholars due to gender (male / female)?”
S. No |
Dimension |
No. |
Mean |
Std. Deviation |
|
1 |
Professional dissatisfaction |
129 |
3.033 |
0.76067 |
|
2 |
Professional pressures |
129 |
2.712 |
0.53064 |
|
3 |
Lower administrative support |
129 |
2.589 |
0.73334 |
|
4 |
Negative attitude |
129 |
2.783 |
0.60384 |
|
5 |
Total |
129 |
2.779 |
0.3878 |
|
|
Valid N (list wise) |
129 |
|
|
Table 4 The means and standard deviations of the dimensions of burnout and total scores of the scale
The above Table 5 indicates that T value calculated for the first dimension (professional dissatisfaction)= (.01), which is less than T value (0.05). The mean for males = (2.85) and the females was (3.17) which shows that there are statistically significant differences in the dimension of professional dissatisfaction in favor of females.
S. No |
Dimensions |
Gender |
Sample |
Mean |
Std. Deviation |
T Value |
Significance level |
|
1 |
Professional dissatisfaction |
Male |
56 |
2.8536 |
0.78299 |
-2.383- |
0.019 |
|
female |
73 |
3.1699 |
0.71854 |
|||||
2 |
Professional pressures |
Male |
56 |
2.7738 |
0.56087 |
1.162 |
0.247 |
|
Female |
73 |
2.6644 |
0.50499 |
|||||
3 |
Lower administrative support |
Male |
56 |
2.7351 |
0.70623 |
2.003 |
0.047 |
|
Female |
73 |
2.4772 |
0.73876 |
|||||
4 |
Negative attitude |
Male |
56 |
2.6741 |
0.54756 |
-1.809- |
0.073 |
|
Female |
73 |
2.8664 |
0.63476 |
|||||
5 |
Total |
Male |
56 |
2.7592 |
0.41934 |
-.511- |
0.61 |
|
|
|
Female |
73 |
2.7945 |
0.36398 |
|
|
Table 5 Indicates T-Test for differences between burnout levels based on gender
This result is consistent with Maqablah,23 DiAnn19 and the study of Mahmoud,22 where it indicated that females are more burnt-out than males. There are also statistically significant differences in the third dimension (lower administrative support) at the significance level (.05), the T value = (.04), and the mean for males was (2.73) and for females = (2.47), indicating the existence of differences between males and females in the dimension of lower administrative support in favor of males. This result is consistent with the study of each of Batayneh and Jawarneh27 which indicated that male scholars are more sensible for burnout than female scholars. This result of the current study differs from Mohammed,8 and the study of Abu Bakr,26 which indicated no differences for burnout between male and female scholars.
Consequently, the researchers explain this result that burnout may arise for reasons related to the work environment and individual’s personality.
The above Table 6 points out that the significance level (.05) is non-significant for the first, second, third and fourth dimensions, although the total dimensions have T value calculated (.04), and it is less than the T value (.05), which explains that there are no statistically significant differences in burnout dimensions due to age, except for the total score of the scale.28 This result is consistent with Abdeen, Gad, and the study of Cunningham, et.al.,29 This result is different from DiAnn19 in the total score of the burnout for age.
S. No |
Dimensions |
Age |
Sample |
Mean |
Std. Deviation |
T Value |
Significance level |
|
1 |
Professional dissatisfaction |
≥ 35 years |
119 |
3.0706 |
0.73535 |
1.981 |
0.05 |
|
years 35< |
10 |
2.58 |
0.94493 |
|||||
2 |
Professional pressures |
≥ 35 years |
119 |
2.7269 |
0.53798 |
1.109 |
0.27 |
|
years 35< |
10 |
2.5333 |
0.41425 |
|||||
3 |
Lower administrative support |
≥ 35 years |
119 |
2.5924 |
0.74747 |
0.175 |
0.861 |
|
years 35< |
10 |
2.55 |
0.56683 |
|||||
4 |
Negative attitude |
≥ 35 years |
119 |
2.8067 |
0.59343 |
1.551 |
0.123 |
|
years 35< |
10 |
2.5 |
0.68718 |
|||||
5 |
Total |
≥ 35 years |
119 |
2.7992 |
0.37888 |
2.048 |
43 |
|
|
|
years 35< |
10 |
2.5408 |
0.43395 |
|
|
Table 6 T-test for the differences between burnout levels based on age
The authors of the current study explain that age is not a requirement for the burnout occurrence; it might be the surrounding circumstances or personality traits that lead to the occurrence of burnout. Gad (2005) assured that normal personality traits make scholars more able to cope with the pressures of work, and to avoid burnout as opposed to those of abnormal personality traits that are more susceptible to burnout.
S. No |
Dimensions |
Specialization |
Sample |
Mean |
Std. Deviation |
T Value |
Sig. Level |
1 |
Professional dissatisfaction |
Scientific |
66 |
3.0061 |
0.71723 |
-.404- |
0.687 |
Humanities |
63 |
3.0603 |
0.80853 |
||||
2 |
Professional pressures |
Scientific |
66 |
2.7702 |
0.50954 |
1.281 |
0.203 |
Humanities |
63 |
2.6508 |
0.54929 |
||||
3 |
Lower administrative support |
Scientific |
66 |
2.6364 |
0.75668 |
0.747 |
0.456 |
Humanities |
63 |
2.5397 |
0.71072 |
||||
4 |
Negative attitude |
Scientific |
66 |
2.803 |
0.60529 |
0.385 |
0.701 |
Humanities |
63 |
2.7619 |
0.60646 |
||||
5 |
Total |
Scientific |
66 |
2.8039 |
0.32951 |
0.742 |
0.46 |
|
|
Humanities |
63 |
2.7532 |
0.44193 |
|
|
Table 7 T-test of the differences between burnout dimensions according to academic major
The above Table 7 shows that the T value calculated for the total burnout dimensions = (.05), which means that there are no statistically significant differences in burnout among specializations of scientific and humanities. This result is consistent with Osman, which showed that there are no statistically significant differences based on specialization.
The authors assure that specialization has no great importance in the teaching profession asscholars of scientific specialization are similar to those of humanities in the practice of the teaching profession.
S. No |
Dimension |
Qualification |
sample |
Mean |
Std. Deviation |
T Value |
Sig. Level |
1 |
Professional dissatisfaction |
Bachelor |
69 |
2.9942 |
0.79111 |
-.694- |
0.489 |
Higher Diploma |
59 |
3.0881 |
0.72898 |
||||
2 |
Professional pressures. |
Bachelor |
69 |
2.7464 |
0.52829 |
0.783 |
0.435 |
Higher Diploma |
59 |
2.6723 |
0.53959 |
||||
3 |
Lower administrative support. |
Bachelor |
69 |
2.715 |
0.7271 |
2.065 |
0.041 |
Higher Diploma |
59 |
2.4492 |
0.72467 |
||||
4 |
Negative attitude. |
Bachelor |
69 |
2.7826 |
0.52144 |
0.067 |
0.947 |
Higher Diploma |
59 |
2.7754 |
0.69434 |
||||
5 |
Total |
Bachelor |
69 |
2.8095 |
0.38025 |
0.917 |
0.361 |
|
|
Higher Diploma |
59 |
2.7463 |
0.39967 |
|
|
Table 8 T-test of the differences between burnout dimensions with academic qualification
Given the above table, the T value for the third dimension (lower administrative support) = (0.041), which is less than the T value (0.05).The mean of Bachelor qualification is (2.72) and higher diploma qualification is (2.45), which means that there are differences between the academic qualifications(bachelor/higher diploma) in the dimension of lower administrative support for the Bachelor holders.
This result is in line with Al-Zahrani , DiAnn,19 and inconsistent with the study of Osman, and the study of Abdeen, which proved that there are no differences in burnout attributed to the academic qualification.
The authors attribute holding Bachelor for scholars is more burnt-out than holders of Higher Diploma in the dimension of lower administrative support to the degrading look for Bachelor holders of being less than those holding higher diploma, therefore a lot of scholars who hold Bachelor degrees seek to enroll for higher diplomas in all Saudi Universities, which demonstrates the hypothesis that there are differences in burnout for differences due to academic qualification.
S. No |
Dimensions |
Marital status |
sample |
Mean |
Std. Deviation |
T value |
Sig. Level |
1 |
Professional dissatisfaction |
Married |
57 |
2.9579 |
0.78261 |
-.992- |
0.323 |
Single |
72 |
3.0917 |
0.743 |
||||
2 |
Professional pressures. |
Married |
57 |
2.7485 |
0.51958 |
0.697 |
0.487 |
Single |
72 |
2.6829 |
0.54108 |
||||
3 |
Lower administrative support. |
Married |
57 |
2.7836 |
0.76698 |
2.748 |
0.007 |
Single |
72 |
2.4352 |
0.67167 |
||||
4 |
Negative attitude. |
Married |
57 |
2.6886 |
0.53302 |
-1.588- |
0.115 |
Single |
72 |
2.8576 |
0.64844 |
||||
5 |
Total |
Married |
57 |
2.7947 |
0.37603 |
0.403 |
0.687 |
|
|
Single |
72 |
2.7668 |
0.39906 |
|
|
Table 9 T-test of the differences between burnout dimensions and marital status
This result is consistent with Al-Zahrani, and the study of Osman in the presence of statistically significant differences in marital status. This result differs from Abdeen in the absence of significant differences in burnout levels among scholars attribute to marital status.
The authors explain that married scholars may be dealing with their students in terms of paternity as if they were their children, therefore negative attitudes towards students may completely disappear, while the unmarried scholars may feel (the negative attitude towards students) due to the lack of parenting passion toward their students and therefore take negative attitude toward their students.
Table 10 indicates that F value is less than the significance level (0.05)for the first, second and third dimension, which indicates that there are statistically significant differences between the burnout levels among the scholars due to the variable of teaching experience. Those who are highly experienced are less burnt-out than less-experienced.
S. No |
Dimensions |
Variance |
Total of squares |
Degrees of freedom |
Mean of squares |
F Value |
Sig. Level |
1 |
Professional dissatisfaction |
Between groups |
2.065 |
2 |
1.032 |
1.807 |
0.168 |
Within groups |
71.998 |
126 |
0.571 |
||||
Total |
74.063 |
128 |
|||||
2 |
Professional pressures |
Between groups |
0.014 |
2 |
0.007 |
0.025 |
0.975 |
Within groups |
36.028 |
126 |
0.286 |
||||
Total |
36.042 |
128 |
|||||
3 |
Lower support |
Between groups |
1.541 |
2 |
0.771 |
1.443 |
0.24 |
Within groups |
67.295 |
126 |
0.534 |
||||
Total |
68.836 |
128 |
|||||
4 |
Negative attitude |
Between groups |
0.779 |
2 |
0.389 |
1.069 |
0.346 |
Within groups |
45.894 |
126 |
0.364 |
||||
Total |
46.672 |
128 |
|||||
5 |
Total |
Between groups |
0.118 |
2 |
0.059 |
0.387 |
0.68 |
Within groups |
19.132 |
126 |
0.152 |
||||
|
|
Total |
|
19.25 |
128 |
|
|
Table 10 shows F-test of the differences between burnout dimensions according to years of experience
This result is consistent with DiAnn,19 Cunningham, et.al.,29 and Al-Zahrani; but it differs from the study of Gad, the study of Osman and the study of Abdeen in the absence of differences in burnout levels attributed to teaching experience. The authors of the current study illustrates that the highly experienced scholars are accustomed to much work than the less-experienced, therefore they properly deal with the pressures of life and work, according to the acquired experience that helped them avoid burnout in dealing with matters of life and work.
At the conclusion of the discussion of hypotheses, the current study resulted in:
The research is funded by the Deanship of the Scientific Research at Najran University (NU/SHED//)
Author declares there are no conflicts of interest.
None.
©2016 Al-Mehasi, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.