Philippine E-Journals

References:

1. Abbas Khan, M., Khan, H., Omer, M. F., Ullah, I., & Yasir, M. (2024). Impact of artificial intelligence on the global economy and technology advancements. In Artificial General Intelligence (AGI) Security: Smart Applications and Sustainable Technologies (pp. 147–180). Singapore: Springer Nature Singapore.
2. Alkharusi, H. A. (2016). Measuring teachers’ adherence to ethical principles in educational assessment. Asian Social Science, 12(4), 149–158.
3. Alkhathlan, S. M. R. (2019). Students’ engagement in independent learning and personal development: Issues, attitudes, and difficulties from the female learners lived experiences of using social media in the context of Saudi higher education. University of Exeter (United Kingdom).
4. Almusaed, A., Almssad, A., Yitmen, I., & Homod, R. Z. (2023). Enhancing student engagement: Harnessing “AIED”’s power in hybrid education—A review analysis. Education Sciences, 13(7), 632.
5. Anisah, A. (2023). Implementation strengthening education character student school Al-Anwar’s foundations through school culture. Assyfa Journal of Islamic Studies, 1(1), 121–129.
6. Baker, R. S. (2019). Automated grading systems in education: A comprehensive review. Journal of Educational Technology Systems, 47(4), 417–439.
7. Balwant, P. T. (2018). The meaning of student engagement and disengagement in the classroom context: Lessons from organizational behavior. Journal of Further and Higher Education, 42(3), 389–401.
8. Barnard, J., & Fourie, H. (2015). Improving throughput rates: Attempting assignments with academic honesty as a factor for the enhancement of learning in accounting.
9. Baron, J. (2022). HIV/AIDS awareness and the level of sexual risk behaviors among senior high school students: An evaluation. Journal of Social, Humanity, and Education, 3(1), 43–55.
10. Benke, E., & Szőke, A. (2024). Academic integrity in the time of artificial intelligence: Exploring student attitudes. Italian Journal of Sociology of Education, 16(2), 91–108.
11. Bhatt, N., Bhatt, N., Prajapati, P., Sorathiya, V., Alshathri, S., & El-Shafai, W. (2024). A data-centric approach to improve performance of deep learning models. Scientific Reports, 14(1), 22329.
12. Blount, Y., & McNeill, M. (2011). Fostering independent learning and engagement for postgraduate students: Using a publisher‐supplied software program. International Journal of Educational Management, 25(4), 390–404.
13. Blount, Y., & McNeill, K. L. (2011). Discovering a knowledge in student’s everyday lives: Data rich cases in urban primary science classrooms. Journal of Research in Science Teaching, 48(1), 1–12.
14. Blumenfeld, P., Soloway, E., Marx, R. W., Krajcik, J. S., Guzdial, M., & Palincsar, A. (2016). Motivating project-based learning: Sustaining the doing, supporting the learning. Educational Psychologist, 26(3–4), 369–398.
15. Bretag, T., Harper, R., Burton, M., Ellis, C., Newton, P., Rozenberg, P., ... & Van Haeringen, K. (2019). Contract cheating and assessment design: Exploring the relationship. Assessment & Evaluation in Higher Education, 44(5), 676–691.
16. Brown, E., Davis, R., & Smith, P. (2019). Educators’ role in fostering student responsibility: Strategies and practices. Teaching in Higher Education, 24(3), 301–318.
17. Buckley, K., Cowap, L., & Winter, J. (2020). Cultural perspectives on student responsibility in higher education. Higher Education, 79(4), 629–647.
18. Caporale, C., & Zagarella, R. M. (2023). Ethics and integrity in academic publishing. In Ethics in Research: Principles and Practical Considerations (pp. 53–69). Cham: Springer Nature Switzerland.
19. Carroll, J., & Appleton, J. (2021). Plagiarism: A good practice guide. Oxford Brookes University.
20. Carvalho, L., Martinez-Maldonado, R., Tsai, Y. S., Markauskaite, L., & De Laat, M. (2022). How can we design for learning in an AI world? Computers and Education: Artificial Intelligence, 3, 100053.
21. Challoumis, C. (2024). Charting the course—the impact of AI on global economic cycles. In XVI International Scientific Conference (pp. 103–127).
22. Chiu, T. K. (2023). Student engagement in K–12 online learning amid COVID-19: A qualitative approach from a self-determination theory perspective. Interactive Learning Environments, 31(6), 3326–3339.
23. Chukwunemerem, O. P. (2023). Lessons from self-directed learning activities and helping university students think critically. Journal of Education and Learning, 12(2), 79–87.
24. Cooper, B., Cohen, T. R., Huppert, E., Levine, E. E., & Fleeson, W. (2023). Honest behavior: Truth-seeking, belief-speaking, and fostering understanding of the truth in others. Academy of Management Annals, 17(2), 655–683.
25. Davis, C. H. (2019). Navigating integrity: The role of values in academic success. Journal of Higher Education, 40(2), 225–241.
26. Davis, R. (2016). Integrity in higher education: A comprehensive examination. Journal of Academic Ethics, 19(3), 287–305.
27. Dillenbourg, P. (2015). What do you mean by collaborative learning? In P. Dillenbourg (Ed.), Collaborative Learning: Cognitive and Computational Approaches (pp. 1–19). Elsevier.
28. D’Mello, S., Olney, A., Williams, C., & Hays, P. (2014). GAIM: A gaze-aware intelligent tutoring system. International Journal of Human-Computer Studies, 72(2), 131–148.
29. Dong, Y., Hou, J., Zhang, N., & Zhang, M. (2020). Research on how human intelligence, consciousness, and cognitive computing affect the development of artificial intelligence. Complexity, 2020, 1–10.
30. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.
31. Dykstra Steinbrenner, J. R., & Watson, L. R. (2015). Student engagement in the classroom: The impact of classroom, teacher, and student factors. Journal of Autism and Developmental Disorders, 45, 2392–2410.
32. Elshazly, E. (2025). Promoting accessibility and personalizing learning experiences through AI. In Transforming Special Education Through Artificial Intelligence (pp. 139–164). IGI Global.
33. Ellikkal, A., & Rajamohan, S. (2024). AI-enabled personalized learning: Empowering management students for improving engagement and academic performance. Vilakshan–XIMB Journal of Management.
34. Eslit, E. (2023). Thriving beyond the crisis: Teachers’ reflections on literature and language education in the era of artificial intelligence (AI) and globalization.
35. Fisher, C. (2015). Decoding accuracy in writing evaluation: A case study. Assessing Writing, 29, 1–13.
36. Fishman, T., Saxon, D., Kajder, S., Cantrill, C., & Marri, A. (2018). Assessing learning in virtual spaces. International Journal of Technology in Teaching and Learning, 4(2), 1–23.
37. Fowler, D. S. (2023). AI in higher education: Academic integrity, harmony of insights, and recommendations. Journal of Ethics in Higher Education, (3), 127–143.
38. Gade, K. R. (2021). Data-driven decision making in a complex world. Journal of Computational Innovation, 1(1).
39. George, A. S. (2023). Preparing students for an AI-driven world: Rethinking curriculum and pedagogy in the age of artificial intelligence. Partners Universal Innovative Research Publication, 1(2), 112–136.
40. George, B., & Wooden, O. (2023). Managing the strategic transformation of higher education through artificial intelligence. Administrative Sciences, 13(9), 196.
41. Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216.
42. Google. (2024). [Google Maps on Higher Education Institutions in Surallah]. Retrieved January 15, 2024, from https://shorturl.at/hAMNR
43. Gülbahar, Y., & Madran, R. (2018). A new research area in educational technology: Artificial intelligence. In Artificial Intelligence in Education (pp. 13–27). Springer.
44. Hames, I. (2013). COPE ethical guidelines for peer reviewers. Committee on Publication Ethics.
45. Handa, N. (2017). Teaching accuracy. In A. D. C. Bennett & P. B. Matsuda (Eds.), Skills for collaborative writing: Mediating between writer agency and disciplinarity (pp. 35–50). Routledge.
46. Harper, R., & Bretag, T. (2007). A snapshot of institutional policy regarding academic integrity amongst Australian universities. Assessment & Evaluation in Higher Education, 32(2), 183–195.
47. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
48. Huang, A. Y., Lu, O. H., & Yang, S. J. (2023). Effects of artificial intelligence–enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom. Computers & Education, 194, 104684.
49. Johnson, M., Rodriguez, E., & Taylor, K. (2019). Cultural perspectives on integrity in higher education. Higher Learning Research Communications, 9(2), 57–69.
50. Jones, A. B. (2018). Responsibility in academic life: Fostering ethical behavior in students. Ethics in Education Journal, 25(3), 112–128.
51. Kalichman, M., & Plemmons, D. (2007). Research ethics in academic and other environments. In Research ethics: A reader (pp. 105–124). Springer.
52. Kayal, A. (2024). Transformative pedagogy: A comprehensive framework for AI integration in education. In Explainable AI for education: Recent trends and challenges (pp. 247–270). Springer Nature Switzerland.
53. Kenwright, B. (2024). Is it the end of undergraduate dissertations? Exploring the advantages and challenges of generative AI models in education. In Generative AI in teaching and learning (pp. 46–65). IGI Global.
54. Khan, M. (2023). Ethics of assessment in higher education–An analysis of AI and contemporary teaching (No. 11445). EasyChair.
55. Khan, Z. R. (2024). Academic integrity training module for academic stakeholders: IEPAR framework. Journal of Academic Ethics, 22(1), 9–31.
56. Khodaei, S., Hasanvand, S., Gholami, M., Mokhayeri, Y., & Amini, M. (2022). The effect of the online flipped classroom on self-directed learning readiness and metacognitive awareness in nursing students during the COVID-19 pandemic. BMC Nursing, 21(1), 22.
57. Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069–6104.
58. Kohn, A. (2014). Punished by rewards: Twenty-fifth anniversary edition. Houghton Mifflin Harcourt.
59. Konar, A. (2018). Artificial intelligence and soft computing: Behavioral and cognitive modeling of the human brain. CRC Press.
60. Konstadopoulou, A. (2024). Academic integrity in a digital epoch: What happened when Aristotle introduced phronesis to digital education?
61. Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M., Păun, D., & Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424.
62. Kumar, P. (2024). The role of ethics and moral values in teaching: A comprehensive examination. Shodh Sari—An International Multidisciplinary Journal, 3(01), 99–112.
63. Lancaster, T., & Culwin, F. (2024). Academic integrity in a climate of change: A review of trends. Assessment & Evaluation in Higher Education, 32(5), 585–602.
64. Lang, J. M. (2013). Cheating lessons: Learning from academic dishonesty. Harvard University Press.
65. Lauermann, F., & Karabenick, S. A. (2013). The meaning and measure of teachers’ sense of responsibility for educational outcomes. Teaching and Teacher Education, 30, 13–26.
66. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
67. Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23.
68. Lerner, R. M. (2018). Concepts and theories of human development. Routledge.
69. Lipson, C. (2015). Doing honest work in college: How to prepare citations, avoid plagiarism, and achieve real academic success. University of Chicago Press.
70. MacCoun, R. J. (2015). Biases in the interpretation and use of research results. Annual Review of Psychology, 49, 259–287.
71. Macfarlane, B., Zhang, J., & Pun, A. (2014). Academic integrity: A review of the literature. Studies in Higher Education, 39(2), 339–358.
72. Mahmoud, C. F., & Sørensen, J. T. (2024). Artificial intelligence in personalized learning with a focus on current developments and future prospects. Research and Advances in Education, 3(8), 25–31.
73. McCabe, D. L. (2016). Academic dishonesty in nursing schools: An empirical investigation. Journal of Nursing Education, 55(9), 493–497.
74. McCabe, D. L., Butterfield, K. D., & Treviño, L. K. (2021). Cheating in college: Why students do it and what educators can do about it. JHU Press.
75. McCallum, A., Otterbacher, J., Nochenson, L., Hockenmaier, J., Ramnath, R., Huang, R., & Tepper, M. (2017). Open data science. In Open data science (pp. 3–22). Springer.
76. McMillan, E. E., Wright, T., & Beazley, K. (2014). Impact of a university-level environmental studies class on students’ values formation. The Journal of Environmental Education, 35(3), 19–27.
77. McNair, T. B., Albertine, S., McDonald, N., Major Jr, T., & Cooper, M. A. (2022). Becoming a student-ready college: A new culture of leadership for student success. John Wiley & Sons.
78. Mebert, L., Barnes, R., Dalley, J., Gawarecki, L., Ghazi-Nezami, F., Shafer, G., ... & Yezbick, E. (2020). Fostering student engagement through a real-world, collaborative project across disciplines and institutions. Higher Education Pedagogies, 5(1), 30–51.
79. Min, S., Khoon, C. C., & Tan, B. L. (2012). Motives, expectations, perceptions and satisfaction of international students pursuing private higher education in Singapore. International Journal of Marketing Studies, 4(6), 122.
80. Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.
81. Mukherjee, D. V. (2023). At the edge of tomorrow: Unleashing human potential in the AI era. Notion Press.
82. Mulenga, R., & Shilongo, H. (2024). Academic integrity in higher education: Understanding and addressing plagiarism. Acta Pedagogia Asiana, 3(1), 30–43.
83. Mulgan, R. (2015). Accountability: An ever‐expanding concept? Public Administration, 78(3), 555–573.
84. Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE Access, 10, 81323–81342.
85. Mwenshi, G. K., & Sakyi, K. (2020). Application of sampling methods for the research design. Archives of Business Review, 8(11).
86. Nicol, D., & Macfarlane‐Dick, D. (2006). Formative assessment and self‐regulated learning: A model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199–218.
87. Oladoyinbo, T. O., Olabanji, S. O., Olaniyi, O. O., Adebiyi, O. O., Okunleye, O. J., & Ismaila Alao, A. (2024). Exploring the challenges of artificial intelligence in data integrity and its influence on social dynamics. Asian Journal of Advanced Research and Reports, 18(2), 1–23.
88. Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: A comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–607.
89. Osasona, F., Amoo, O. O., Atadoga, A., Abrahams, T. O., Farayola, O. A., & Ayinla, B. S. (2024). Reviewing the ethical implications of AI in decision making processes. International Journal of Management & Entrepreneurship Research, 6(2), 322–335.
90. Park, C. (2003). In other (people’s) words: Plagiarism by university students—literature and lessons. Assessment & Evaluation in Higher Education, 28(5), 471–488.
91. Poitras Pratt, Y., & Gladue, K. (2022). Re-defining academic integrity: Embracing Indigenous truths. In Academic integrity in Canada: An enduring and essential challenge (pp. 103–123). Cham: Springer International Publishing.
92. Pokhrel, M., Sharma, L., Poudel, M. P., Sharma, L., & Luitel, S. (2024). Empowering students through a self-directed learning pedagogy in mathematics education. Communications on Applied Nonlinear Analysis, 31(1), 238–252.
93. Priest, R., & Yandell, L. (2018). Dyadic meta-accuracy and perceived motivational accuracy in academic work groups. Modern Psychological Studies, 24(1), 7.
94. Qi, F., & Li, X. (2023). Exploring AI-assisted teacher support mechanism for university students’ learning engagement. Journal of Roi Kaensarn Academi, 8(11), 669–683.
95. Ramesh, D., & Sanampudi, S. K. (2022). An automated essay scoring system: A systematic literature review. Artificial Intelligence Review, 55(3), 2495–2527.
96. Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating artificial intelligence (AI) for personalized and adaptive learning. Available at SSRN 4638365.
97. Rane, N. L., Paramesha, M., Choudhary, S. P., & Rane, J. (2024). Artificial intelligence, machine learning, and deep learning for advanced business strategies: A review. Partners Universal International Innovation Journal, 2(3), 147–171.
98. Resnik, D. B. (2015). Research ethics timeline (1932–Present). National Institute of Environmental Health Sciences. Retrieved from https://www.niehs.nih.gov/research/resources/bioethics/timeline/index.cfm
99. Rezai, A., Namaziandost, E., & Hwang, G. J. (2024). How can ChatGPT open promising avenues for L2 development? A phenomenological study involving EFL university students in Iran. Computers in Human Behavior Reports, 16, 100510.
100. Roig, M. (2017). Plagiarism and paraphrasing criteria of college and university professors. Ethics & Behavior, 27(6), 453–478.
101. Russell, S., & Norvig, P. (2018). Artificial intelligence: A modern approach (3^rd ed.). Upper Saddle River, NJ: Pearson.
102. Ruzek, E. A. (2022). Cheating and plagiarism: A mixed-methods study of student academic dishonesty. The Journal of Higher Education, 73(4), 524–538.
103. Salih, S. A., Omar, A. M., Atrous, M. H., Ali, T. S. A. M., Hamad, M. M., Bashir, W. A. H., ... & Khalid, M. K. H. (2024). The relationship of university students’ academic achievement with emotional intelligence and self-esteem: A descriptive correlation study design at Jouf University, Saudi Arabia 2023. Sudan Journal of Medical Sciences, 19(3).
104. Sato, S. N., Condes Moreno, E., Rubio-Zarapuz, A., Dalamitros, A. A., Yañez-Sepulveda, R., Tornero-Aguilera, J. F., & Clemente-Suárez, V. J. (2023). Navigating the new normal: Adapting online and distance learning in the post-pandemic era. Education Sciences, 14(1), 19.
105. Saxena, A. K., García, V., Amin, M. R., Salazar, J. M. R., & Dey, S. (2023). Structure, objectives, and operational framework for ethical integration of artificial intelligence in educational. Sage Science Review of Educational Technology, 6(1), 88–100.
106. Seldon, A., Abidoye, O., & Metcalf, T. (2020). The fourth education revolution reconsidered: Will artificial intelligence enrich or diminish humanity? Legend Press Ltd.
107. Sentino, P. (2021). Adult learners in higher education: How academic motivation influence online learners in a technology-based learning environment (Doctoral dissertation, The Chicago School of Professional Psychology).
108. Shamoo, A. E., & Resnik, D. B. (2015). Responsible conduct of research. Oxford University Press.
109. Sharma, S., & Kumar, N. (2024). Navigating the ethical landscape of AI-based resources in education: Implications for learning, proper usage, and course design enhancement. The Online Journal of Distance Education and e-Learning, 12(2), 92.
110. Shepard, R. (2016). The moral challenges of information and communication technology. Cambridge University Press.
111. Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11.
112. Singh, T. M., Reddy, C. K. K., Murthy, B. R., Nag, A., & Doss, S. (2025). AI and education: Bridging the gap to personalized, efficient, and accessible learning. In Internet of behavior-based computational intelligence for smart education systems (pp. 131–160). IGI Global.
113. Smith, L., & Brown, S. (2018). Educational strategies for fostering academic integrity: A review of best practices. Higher Education Studies, 8(2), 45–57.
114. Smith, A., & Johnson, M. (2016). Student responsibility for learning: A review of current literature. Higher Education Studies, 6(2), 25–35.
115. Smith, J. K. (2017). Accountability and academic integrity: A comprehensive perspective. Educational Ethics Review, 15(4), 321–337.
116. Striepe, M., Thomson, S., & Sefcik, L. (2023). Understanding academic integrity education: Case studies from two Australian universities. Journal of Academic Ethics, 21(1), 1–17.
117. Swales, J. M. (2015). Why teach academic writing? Research in the Teaching of English, 22(2), 101–111.
118. Swargiary, K. (2024). Navigating the modern classroom: A teacher’s journey. LAP.
119. Thomas, J. W. (2017). A review of research on project-based learning. Autodesk Foundation.
120. Thompson, L. (2018). Responsibility in higher education: A comprehensive exploration. Journal of Educational Research, 21(4), 345–362.
121. Tomé-Fernández, M., Aranda-Vega, E. M., & Ortiz-Marcos, J. M. (2024). Exploring social skills in students of diverse cultural identities in primary education. Societies, 14(9), 158.
122. Tong, A. (2024). The evolution of AI engineering: Hardware and software dynamics, historical progression, innovations, and impact on next-generation AI systems. Library Progress International, 44(3), 19715–19737.
123. Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56.
124. Truna, D. S., Viktorahadi, R. B., & Haq, M. Z. (2022). Gender equality in Catholic religious and character education: A multiculturalism perspective. HTS Teologiese Studies/Theological Studies, 78(4).
125. Van Den Heuvel-Panhuizen, M., Drijvers, P., & Martinovic, D. (2021). Students’ engagement with adaptive e-learning systems in mathematics education. International Journal of Educational Technology in Higher Education, 18(1), 1–22.
126. Van Den Heuvel-Panhuizen, M., Van Den Boogaard, S., Doorman, M., & Jonker, V. (2021). Cognitive diagnostic assessment to support formative assessment in mathematics education. In Handbook of Research on Formative Assessment in Pre-K Through Elementary Education (pp. 1–28). IGI Global.
127. VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221.
128. Williams, P. T. (2023). Education evolution: Pedagogical techniques for the modern world. International Journal of Research and Review Techniques, 2(2), 7–13.
129. Wong, S. S. H., Lim, S. W. H., & Quinlan, K. M. (2016). Integrity in and beyond contemporary higher education: What does it mean to university students? Frontiers in Psychology, 7, 1094.
130. Wu, R. (2023). Influence of problem-based learning courses in middle school on students’ autonomous learning ability. Journal of Education, Humanities and Social Sciences, 22, 440–445.
131. Yilmaz, R., & Yilmaz, F. G. K. (2023). Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning. Computers in Human Behavior: Artificial Humans, 1(2), 100005.
132. Zohuri, B., & Mossavar-Rahmani, F. (2024). Revolutionizing education: The dynamic synergy of personalized learning and artificial intelligence. International Journal of Advanced Engineering and Management Research, 9(1), 143–153.