The Relationship Between Academic Integrity and Scholastic Performance of Senior High School Students in Pindasan National High School

The main objective of the study was to determine the relationship between academic integrity and scholastic performance of senior high school students in Pindasan National High School. The proponents used a quantitative non-experimental particularly descriptive-correlational method of research and utilized the researcher – made questionnaires. The study employed statistical tools; Cronbach Alpha, Average Weighted Mean, Pearson-r, and T test. The respondents were composed of one hundred eighty two (182) senior high school students for the school year 2022-2023. It was determined that there is a significant relationship between academic integrity and scholastic performance of senior high school students in Pindasan National High School. It was found out that the level of academic integrity and scholastic performance of senior high school students is descriptively high. There is no significant difference on academic integrity and scholastic performance when grouped according to year level however there is a significant difference when analyzed by gender.

Academic Integrity, Scholastic Performance, Senior High School Students

1. Abrar, M., & Sidik, E. J. (2019). Analyzing ethical considerations and research methods in children research. Journal of Education and Learning (EduLearn), 13(2), 184-193. [Google Scholar] [Crossref]

2. Actis,m C. C., & Sosa, J. R. (2015). Revision historica del concepto de transgtorno de la personalidad. En Anales de psiquiatria, 24 (5), 223- 232 [Google Scholar] [Crossref]

3. Aguillon, S. M., Seigmund, G. F., Petipas, R. H., Drake, A. G., Cotner, S., & Ballen, C. J. (2020). Gender differences in student participation in an active-learning classroom. CBE – Life Sciences Education, 19(2),ar12 [Google Scholar] [Crossref]

4. Ajzen, I (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes,50(2),179-211 [Google Scholar] [Crossref]

5. Alami, M. (2016). Causes of poor academic performance among Omani students. International Journal of Social Science Research, 4(1), 126- 136 [Google Scholar] [Crossref]

6. Anwar R, Kalra J, Ross M, Smith D, Vogel V (2020). Encouraging Academic Integrity Through a Preventative Framework.Bcccampus.ca; Pressbooks. https://presbooks.bccampus.ca/encourageacademicintegrity [Google Scholar] [Crossref]

7. Asogbon, M. G., Samuel, O. W.,m Omisore, M. O., and Ojokoh, B., A multi- class support vector machine approach for students academic performance prediction. Internatrional Journal of Multidisciplinary and Current Research.4:210-215,2016. [Google Scholar] [Crossref]

8. Ayral, M., Ozdemir, N., Findik, L. Y., Ozarslan, H, & Unlu, A (2015). The relationship between the students’ achievement of Turkish language class and the central exam score. [Google Scholar] [Crossref]

9. Bakar, K.A., Tarmizi, R. A., Mahyuddin, R., Elias, h., Luna, W. S. & Ayub A. F. [Google Scholar] [Crossref]

10. M. (2010). Relationships between university students’ achievement motivation, attitude and academic performance in Malaysia. Procedia- Social and Behavioral Sciences, 2(2), 4906-4910. [Google Scholar] [Crossref]

11. Barrot, J. (2018). Exploring the implementation of communicative language teaching in the Philippines: a tertiary teachers’ perspective,” Advanced Science Letters, vol. 24, no.4 p. 2284-2287 [Google Scholar] [Crossref]

12. Bertram-Gallant, GT. (2016). Systems approach to going forward. “Handbook of academic integrity”, 975-978 [Google Scholar] [Crossref]

13. Bosch, M., & Cavalotti, R. (2016) Es possible una definacion de integridad en el ambito de la etica empresarial?. [Google Scholar] [Crossref]

14. Brew, E.A., Nketiah, B., & Koranteng, R. (2021). A literature review of academic performance, an insight into factors and their influences on academic outcomes of students at senior high schools. Open Access Library Journal, 8(6), 1-4 [Google Scholar] [Crossref]

15. Briones, S. K. F., Dagamac, R. J. R., David, J. D., & Landelario, C.A.B. (2021). Factors Affecting the Students’ Scholastic Performance: A Survey Study. Indonesian Journal of Educational Research and Technology, 292), 97-102 Brookfield, S., Becoming a Critically Reflective Teacher. John Wiley & Sons, Hobken. [Google Scholar] [Crossref]

16. Brown, J.C. (2017), A Metasynthesis of Complementary of Culturally Responsive and Inquiry Based Science Education in K-12 Settings: Implications for Advancing Equitable Science Teaching and Learning. Journal of Research in Science Teaching, 54,1143- 1173.https://doi.org/10.1002/tea.21401. [Google Scholar] [Crossref]

17. Cascio, C. (2015). Factors of Poor Student Performance . Retrieved September 26, 2015, from http://classroom.synonym.com/factors-poorstudent- performance-12636.html [Google Scholar] [Crossref]

18. Celik O, Lancaster T (2020). Violations of and threats to academic integrity in online English language teaching. The Literacy Trek 7(1):34-54. https://doi.org/10.47216?literacytrek.932316 [Google Scholar] [Crossref]

19. Chinyoka, K. And Naidu, N. (2013), Uncaging the Caged: Exploring the Impact of Poverty on the Academic Performance of Form Three Learners in Zimbabwe. International Journal of Educational Sciences, 5, 271-281. https://doi.org/10.1080/09751122.2013.11890087 [Google Scholar] [Crossref]

20. Crego, A., Carillo-Diaz, M., Armfield, J M., & Romero, M. (2016). Stress and academic performance in dental students: the role of coping strategies and examination_related self – efficacy. Journal of dental education, 80(2), 165-172 [Google Scholar] [Crossref]

21. Das, S. K., Halder, U. K., Mishra, B., & Debnath, D. (2014). Study on relationship between attitude towards education and academic achievement in secondary level minority students. Indian Streams Research Journal, 4(10), 1-6. [Google Scholar] [Crossref]

22. Dawson, P. & Sutherland – Smith, W. ( 2017). Can markers detect contact cheating ? Assessment and Evaluation in Higher Education. [Google Scholar] [Crossref]

23. Diego, L. A. B. (2017). Friends with Benefits: Causes and Effects of Learners’ Cheating Practices during Examination. IAFOR Journal of Education, 5(2), 121-138 [Google Scholar] [Crossref]

24. Dyer K (2016), Challenges of Maintaining Academic Integrity in an Age of Collaboration, Sharing and Social Networking. [Google Scholar] [Crossref]

25. Eaton SE. (2019). Exploring the notion of academic integrity literacy. Learning, Teaching and Leadership: A Blog for Educators, Researchers and Other Thinkers. https://drsaraheaton.wordpress.com/2019/03/16exploring- the-notion-of-academic-ingtegrity-literacy/.com [Google Scholar] [Crossref]

26. Espinosa, C.D., & Toquero, C. M. D. (2018). Academic Integrity: Influence on the Scholastic Performance of the Pre-Service Teachers. International Journal, g4(20, 15-28 [Google Scholar] [Crossref]

27. Festinger, L.(1957). A Theory of cognitive dissonance. Evanston, IL:Row,Peterson [Google Scholar] [Crossref]

28. Fishman, T. (2014). The Fundamental Values of Academic Integrity. Second Edition (International Center for Academic Integrity). https://www.academicintegrity.org/wpcontent/uploads/2017/12/Fundam ental-Values-2014.pdf [Google Scholar] [Crossref]

29. Frey, B. (2018). The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1-4). Thousand Oaks,,Ca;SAGE Publications,Inc. doi:10.4135/9781506326139. [Google Scholar] [Crossref]

30. Garbanzo, G. M. (2015). Factores asociados al rendimiento academic en estudiangtes universitarios, una reflexion desde la calidad de la educacion superior publica. 43-63. https://dx.doi.org/10.15517/revedu.v31i1.1252 [Google Scholar] [Crossref]

31. Goni, U., Ali, H. K., & Bularafa, M. W. (2015). Gender Difference in Students’ Academic Performance in Colleges of Education in Borno State, Nigeria: Implications for Counselling. Journal of Education and Practice, 6(32), 107-114. [Google Scholar] [Crossref]

32. Gutierrez, A., P., Candela, L. L., & Carver, L (2012). The structural relationships between organizational commitment, global job satisfaction, developmental experiences, work values, organizational support, and person-organization fit among nursing faculty. Journal of Advanced Nursing, 68(7), 601-1614. [Google Scholar] [Crossref]

33. Hattie, J. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement.routledge. [Google Scholar] [Crossref]

34. Hasan, N., Rana, R. U., Chowdhury, S., Dola, A. J., & Rony, M. K K. (2021). Ethical considerations in research. Journal of Nursing Research, Patient Safety and Practise (JNRPSP) 2799-1210, 1(01), 1-4 [Google Scholar] [Crossref]

35. Hedges, L. V., & Nowell, A. (2022). Sex differences in mental test scores, variability, and numbers of high-scoring individuals, Science, 269, 41-45. http://dx.doi.org/10.1126/science.7604277 Heider, F. (1958). The Psychology of Interpersonal Relations. New York, NY; Wiley [Google Scholar] [Crossref]

36. Hossain Z (2020) From Policy to practice: what do literature, standards and guidelines inform us about the role of school librarians’ in cultivating an academic integrity culture? Synergy 18(1) https://slav.vic.edu.au/index.php/Synergy/article?view?373 [Google Scholar] [Crossref]

37. International for Academic Integrity. (2020), The fundamental values of academic integrity (Third Edition), https://academicintegrity.org/images/pdfs/20019_ICAI-Fundamental- Values_R12. [Google Scholar] [Crossref]

38. International Center for Academic Integrity (2021) The Fundamental Values of Academic Integrity, 3rd edition www.academicintegrity.org/the- fundamental-valuesofacademic-integrity.com [Google Scholar] [Crossref]

39. International For Academic Integrity (2014). Fundamental Values of Academic Integrity. Retrieved from https://academicintegrity.org/wp- content/uploads/2017/12Fundamental-Values-2014.pdf [Google Scholar] [Crossref]

40. Kolo, D. K., & Adepoju, S.A. (2015). A decision tree approacgh for predicting students academic performance. [Google Scholar] [Crossref]

41. Kori et al. (2016). The Role of Programming Experience in ICT Students’ Learning Motivation and Academic Achievement. International Jourbnal of Inforemation and Eduncation Technology, Vol.6(No.5). doi: 10.7763/IJIET.2016.V6.709. [Google Scholar] [Crossref]

42. Kubiatko, M. (2016) Postoje ziakox druheno stupna zakladnych skol k prirodovIednym pbredmetom. Habilitacna praca. Brno: Masarykova Univerzita [Google Scholar] [Crossref]

43. Kurz, A., Talapatra, D., & Roach, A. T. (2012). Meeting the curricular challenges of inclusive assessment: The role of alignment, opportunity to learn, and student engagement. International Journal of Disability, Development and Education, 59(1), 37-52 [Google Scholar] [Crossref]

44. Manila Bulletin (2021). ‘Kopyahan’ goes online under distance learning. https://mb.com.ph/2021/09/20/kopyahan-goes-online-under-distance- learning. [Google Scholar] [Crossref]

45. Miller, C., & Bartlett, J.(2012). ‘Digital fluency’: towards young people’s critical use of the internet. Journal of Information Literacy, 6(2) 35-55. [Google Scholar] [Crossref]

46. Miracle, V. A. (2016). The Belmont Report: the triple crown of research ethics. Dimensions of critical care nursing, 35(4), 2232-228 [Google Scholar] [Crossref]

47. Nilson, L.B. (2016).,Teaching at Its Best: A Research-Based Resource for College Instructors. [Google Scholar] [Crossref]

48. Odiri, O. E. (2015). Relationship of study habits with mathematics achievement. Journal of Education and Practice, 6(10), 168-170. Retrieved from http://bit.ly/2GAAr3l [Google Scholar] [Crossref]

49. Okanovic, P., Okanovic, D., Mitrovic, D., & Majstorovic, N. (2016) Academic Integrity “Captured” by a Personality- Based Test. Psihologija, 46(1), 61- 74. doi: 10.2298/psi1301061o [Google Scholar] [Crossref]

50. Packalen, K. A & Rowbotham, K. (2021). Down the slippery slope: Moral disengagement and academic integrity’s grey areas. Academy of Management Conference 2020, Virtual. [Google Scholar] [Crossref]

51. Pavelkova and Ptochadzkova, (2016). Attitufde toward School and Learning and Academic Achievement of Adolescencents. Retrieved from https://www.futureacademy.org.uk [Google Scholar] [Crossref]

52. Platisa, C., Reklitis, P., & Zimeras, S. (2015). Relation between job satisfaction and job performance in healthcare services. Procedia–Social and Behavioral Sciences,175, 480-487 [Google Scholar] [Crossref]

53. Pratiyush, G., Manu, S., Classifying educational data using support vector machines: A supervised data mining technique. Indian Journal Sciences and Technology 9(34), 2016. [Google Scholar] [Crossref]

54. Rambe, P.,& Moeti, M (2017). Disrupting and democraticizing higher education provision or entrenching academic elitism: towards a model of MOOCs adoption at African universities. Educational Technology Research and Development, 65(3), 631-651 [Google Scholar] [Crossref]

55. Ranasinghe et al. (2017). Emotional intelligence, perceived stress and academic performance of Sri Lankan medical undergraduates. BMC Medical Education. doi: 10.1186/s12909-017-0884-5. [Google Scholar] [Crossref]

56. Rahamneh, K.F.A., (2012). Reasons for the Academic Achievements among the Students of the Main Stages in Selected Schools in the Province of Al-Balqa. Ozean Journal of Social Sciences, %(1), 31-40 [Google Scholar] [Crossref]

57. Rivera, J. G. (2017). Articulating the foundationms of Philippine kto12 curriculum: learner-centeredness,” AsTen Journal of Teacher Education, vol. 2 (1). [Google Scholar] [Crossref]

58. Saa, A. A., Educational data mining & students’ performance pre-diction. Int. J. Adv. Comput. Sci. Appl. 7(5): 212-220, 2016. [Google Scholar] [Crossref]

59. Sejcova, L. (2016). Pohl’ad na kvalitu zivota dospievajucich. Bratislava: Album. [Google Scholar] [Crossref]

60. Sirmaci, N. (2017). The relationship between the attitudes towards mathematics and learning styles. Procedia-Social and Behavioral Sciences, 9, 644-648. https://doi.org/10.1016/j.sbspro.2010.12.211 [Google Scholar] [Crossref]

61. Shahiri, A. M., Hussain, W., & Rashis, N. A. (2015). The Third Information Systems International Conference. Procedia Computer Science, 72,414- 422 [Google Scholar] [Crossref]

62. Shakeel, M. D., and Peterson, P.E (2020). Changes in the performance of students in charter and district sectors of US Education: An analysis of nationwide trends. Journal of School Choice,14 (4), 604-632 [Google Scholar] [Crossref]

63. Soderstrom, E. And Bjork, R.A. (2015), “Learning versus performance”, Perspectives on Psychological Science, Vol 4 No., pp.176- 199,doi10.117/1745691615569000 [Google Scholar] [Crossref]

64. Tauginiene L., & Gaizauskaite, I. (2018). Integrity Management in High Schools: paving a away to misconduct? Towards consistency and transparency in academic integrity/editors: Salim Razi, Irene Glendinning, Tomas Foltynek, 105-116. https://www.lituanistika.lt/content/content/83513 [Google Scholar] [Crossref]

65. Tertiary Education Quality and Standards Agency (2021). What is academic Integrity? .https://www.teqsa.gov.au/students/understanding-academic- integritwhat- academicintegrity#penaltiesforbreachingacademicintegrity.com [Google Scholar] [Crossref]

66. Tertiary Education Quality and Standards Agency (2022). What is academic Integrity?.https://www.teqsa.gov.au/students/understanding-academic- integritwhatacademicintegrity#penaltiesforbreachingacademicintegrity.c om [Google Scholar] [Crossref]

67. University of Arizona Global Campus (2021), What is academic Integrity, and How can I Achieve It?,https://uagc.gov.ed.com [Google Scholar] [Crossref]

68. Yassein, N. A, Helall, R. G. M.., and Mohamad, S. B., Predicting student academic performance in KSA using data mining techniques. Journal of Information Technology and Software Engineering 7(5):1-5,2017. [Google Scholar] [Crossref]

69. Yigermal, M. E. (2017). Determinant of Scholastic Performance Under Graduate Students: In the Cause of Arba Minch University Chamo Campus. Journal of Education and Practice, 8 (10), 155-166. [Google Scholar] [Crossref]

• Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
• Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
• “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
• Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
• Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study