References
- Abbas, K., Xu, D., Li, S., & Baz, K. (2020). Health implications of household multidimensional energy poverty for women: A structural equation modeling technique. Energy and Buildings, 234, 110661. https://doi.org/https://doi.org/10.1016/j.enbuild.2020.110661
- Abdelkarim, M. S. (2020). Biomonitoring and bioassessment of running water quality in developing countries: A case study from Egypt. Egyptian Journal in Aquatic Research, 46(4), 313–324. https://doi.org/https://doi.org/10.1016/j.ejar.2020.11.003
- Akçayir, M., Akçayir, G., Pektaş, H. M., & Ocak, M. A. (2016). Augmented reality in science laboratories: The effects of augmented reality on university students’ laboratory skills and attitudes toward science laboratories. Computers in Human Behavior, 57, 334–342. https://doi.org/https://doi.org/10.1016/j.chb.2015.12.054
- Ali, T. (2012, April). A case study of the common difficulties experienced by high school students in chemistry classroom in Gilgit-Baltistan (Pakistan). SAGE Open. https://doi.org/https://doi.org/10.1177/2158244012447299
- Barra, R., & Gonzalez, P. (2018). Sustainable chemistry challenges from a developing country perspective: Education, plastic pollution, and beyond. Green and Sustainable Chemistry, 9, 40–44. https://doi.org/https://doi.org/10.1016/j.cogsc.2017.12.001
- Bartimote-Afflick, K., Bridgeman, A., Walker, R., Sharma, M., & Smith, L. (2016). The study, evaluation, and improvement of university student self-efficacy. Studies in Higher Education, 11(11), 1918–1942. https://doi.org/https://doi.org/10.1080/03075079.2014.999319
- Bellen, J. (2017, December). The Philippine chemical industry. American Institute of Chemical Engineers.
- Bunce, L., King, N., Saran, S., & Talib, N. (2019). Experiences of black and minority ethnic (BME) students in higher education: Applying self-determination theory to understand the BME attainment gap. Studies in Higher Education. https://doi.org/https://doi.org/10.1080/03075079.2019.1643305
- Burford, C., Hanrahan, J., Ansaripour, A., Smith, B., Sysum, K., Rajwani, K., Huett, M., Vergani, F., & Zebian, B. (2019). In reply to the Letter to the editor regarding “factors influencing medical student interest in a career in neurosurgery”. World Neurosurgery, 126(year 1), 693. https://doi.org/https://doi.org/10.1016/j.wneu.2019.03.150
- Butz, N. T., & Stupnisky, R. H. (2017). Improving student relatedness through an online discussion intervention: The application of self-determination theory in synchronous hybrid programs. Computers and Education, 114, 117–138. https://doi.org/https://doi.org/10.1016/j.compedu.2017.06.006
- Chan, D. K. C., Zhang, L., Lee, A. S. Y., & Hagger, M. S. (2020). Reciprocal relations between autonomous motivation from self-determination theory and social cognition constructs from the theory of planned behavior: A cross-lagged panel design in sport injury prevention. Psychology of Sport and Exercise, 48(October 2019), https://doi.org/https://doi.org/10.1016/j.psychsport.2020.101660
- Cheung, D. (2011). Evaluating student attitudes toward chemistry lessons to enhance teaching in the secondary school. Educacion Quimica, 22(2), 117–122. https://doi.org/https://doi.org/10.1016/s0187-893x(18)30123-x
- Cohen, R., & Kelly, A. M. (2019). Community college chemistry coursetaking and STEM Academic persistence. Journal of Chemical Education, 96(1), 3–11. https://doi.org/https://doi.org/10.1021/acs.jchemed.8b00586
- Darrah, M., Humbert, R., Finstein, J., Simon, M., & Hopkins, J. (2014). Are virtual labs as effective as hands-on labs for undergraduate physics? A comparative study at two major universities. Journal of Science Education and Technology, 26(6), 803–214. https://doi.org/https://doi.org/10.1007/s10956-014-9513-9
- Demirel, M., Derman, I., & Karagedik, E. (2015). A study on the relationship between reflective thinking skills towards problem solving and attitudes towards mathematics. Procedia – Social and Behavioral Sciences, 197(February), 2086–2096. https://doi.org/https://doi.org/10.1016/j.sbspro.2015.07.326
- Dewberry, C., & Jackson, D. J. R. (2018). An application of the theory of planned behavior to student retention. Journal of Vocational Behavior, 107(August 2017), 100–110. https://doi.org/https://doi.org/10.1016/j.jvb.2018.03.005
- Dicker, R., Garcia, M., Kelly, A., & Mulrooney, H. (2018). What does ‘quality’ in higher education mean? Perceptions of staff, students and employers. Studies in Higher Education, 8, 1425–1441. https://doi.org/https://doi.org/10.1080/03075079.2018.1445987
- Ducanes, G., & Daway-Ducanes, S. (2020, April). Need to increase supply of medical workers and build telemedicine infrastructure to prepare for future public health crises. Business World.
- Estriegana, R., Medina-Merodio, J. A., & Barchino, R. (2019). Student acceptance of virtual laboratory and practical work: An extension of the technology acceptance model. Computers and Education, 135(August 2018), 1–14. https://doi.org/https://doi.org/10.1016/j.compedu.2019.02.010
- Garcia, J. E., Feliciano, L. M. L., Manalo, S. C., Custodio, J. E. G., Serito, S. M. M., & Garing, A. (2017). Presented at the DLSU Research Congress 2017 Career Aspirations of Stem Students of University of Batangas Towards Stem Careers.
- Gefen, D., Straub, D., & Boudreau, M. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information System, 4. https://doi.org/https://doi.org/10.17705/1cais.00407
- Gkargkavouzi, A., Halkos, G., & Matsiori, S. (2019). Environmental behavior in a private-sphere context: Integrating theories of planned behavior and value belief norm, self-identity and habit. Resources, Conservation and Recycling, 148(November 2018), 145–156. https://doi.org/https://doi.org/10.1016/j.resconrec.2019.01.039
- Guang, N. (2019). Decision-making determinants of students participating in MOOCs: Merging the theory of planned behavior and self-regulated learning model. Computers and Education, 143, 50–62. https://doi.org/https://doi.org/10.1016/j.compedu.2019.02.004
- Guerin, R. J., & Toland, M. D. (2020). An application of a modified theory of planned behavior model to investigate adolescents’ job safety knowledge, norms, attitude and intention to enact workplace safety and health skills. Journal of Safety Research, 72, 189–198. https://doi.org/https://doi.org/10.1016/j.jsr.2019.12.002
- Hadid, L., Al-Rajabi, O., AlBarmawi, M., Sayyah, N., & Toqan, L. (2018). Exploring factors that influence students’ attitude toward Midwifery in Jordan: Measuring psychometric properties of a newly developed tool. Nurse Education in Practice, 29, 219–224. https://doi.org/https://doi.org/10.1016/j.nepr.2018.02.005
- Haggera, M., & Hamilton, K. (2018). Motivational predictors of students’ participation in out-of-school learning activities and academic attainment in science: An application of the trans-contextual model using Bayesian path analysis. Learning and Individual Difference, 67, 232–244. https://doi.org/https://doi.org/10.1016/j.lindif.2018.09.002
- Hair, J. F. (2010). Multivariate data analysis: A global perspective. Pearson Prentice Hall.
- Hawkins, I., & Phelps, A. J. (2013). Virtual laboratory vs. Traditional laboratory: Which is more effective for teaching electrochemistry? Chemistry Education Research and Practice, 14(4), 516–523. https://doi.org/https://doi.org/10.1039/C3RP00070B
- Hiatt, M. S., Swaim, J. A., & Maloni, M. J. (2018). Choosing an undergraduate major in business administration: Student evaluative criteria, behavioral influences, and instructional modalities. International Journal of Management Education, 16(3), 524–540. https://doi.org/https://doi.org/10.1016/j.ijme.2018.10.002
- Hofstein, A., & Mamlok-Naaman, R. (2011). High-school students’ attitudes toward and interest in learning chemistry. Educacion Quimica, 22(2), 90–102. https://doi.org/https://doi.org/10.1016/s0187-893x(18)30121-6
- Hollett, R. C., Gignac, G. E., Milligan, S., & Chang, P. (2020, May). Explaining lecture attendance behavior via structural equation modeling: Self-determination theory and the theory of planned behavior. Learning and Individual Differences, 81. https://doi.org/https://doi.org/10.1016/j.lindif.2020.101907
- Holme, T. (2020). Using the chemistry of pharmaceuticals to introduce sustainable chemistry and systems thinking in general chemistry. Sustainable Chemistry and Pharmacy, 16(January), 100234. https://doi.org/https://doi.org/10.1016/j.scp.2020.100234
- Hoorn, J., Shablack, H., Lindquist, K., & Telzer, E. (2019). Incorporating the social context into neurocognitive models of adolescent decision-making: A neuroimaging meta-analysis. Neuroscience and Biobehavioral Reviews, 101, 129–142. https://doi.org/https://doi.org/10.1016/j.neubiorev.2018.12.024
- Ikatrinasari, Z. F., Prayogo, L., & Ariyanti, S. (2018). Analysis of turnover intention power factors: A case study of retail company in Jakarta. Management Science Letters, 1097–1102. https://doi.org/https://doi.org/10.5267/j.msl.2018.7.002
- Jayawardena, P. R., van Kraayenoord, C. E., & Carroll, A. (2020). Factors that influence senior secondary school students’ science learning. International Journal of Educational Research, 100(June 2019), 1–14. https://doi.org/https://doi.org/10.1016/j.ijer.2019.101523
- Kilic, D. S., Emsen, P., & Soran, H. (2011). Behavioral intention towards laboratory applications in science teaching. Procedia – Social and Behavioral Sciences, 28, 416–420. https://doi.org/https://doi.org/10.1016/j.sbspro.2011.11.079
- Kirbulut, Z. D., & Uzuntiryaki-Kondakci, E. (2019). Examining the mediating effect of science self-efficacy on the relationship between metavariables and science achievement. International Journal of Science Education, 41(8), 995–1014. https://doi.org/https://doi.org/10.1080/09500693.2019.1585594
- Kishimoto, R. T., Prasetyo, Y. T., Persada, S. F., & Redi, A. A. (2021). Filipino generation z on mobile legends during COVID-19: A determination of playtime and satisfaction. International Journal of Information and Education Technology, 11(8), 381–386. https://doi.org/https://doi.org/10.18178/ijiet.2021.11.8.1538
- Knauder, H., & Koschmieder, C. (2019). Individualized student support in primary school teaching: A review of influencing factors using the theory of planned behavior (TPB). Teaching and Teacher Education, 77, 66–76. https://doi.org/https://doi.org/10.1016/j.tate.2018.09.012
- Konak, A., Clark, T. K., & Nasereddin, M. (2014). Using Kolb’s experiential learning cycle to improve student learning in virtual computer laboratories. Computers and Education, 72, 11–22. https://doi.org/https://doi.org/10.1016/j.compedu.2013.10.013
- Kothe, E., Lamb, M., Bruce, L., McPhie, S., Klas, A., Hill, B., & Skouteris, H. (2018). Student midwives’ intention to deliver weight management interventions: A theory of planned behaviour & self-determination theory approach. Nurse Education Today, 71(July), 10–16. https://doi.org/https://doi.org/10.1016/j.nedt.2018.09.002
- Kumar, S., & Upadhaya, G. (2017). Structure equation modeling basic assumptions and concepts: A novices guide. European Center for Research Training and Development UK, 5(4), 10–16. https://www.eajournals.org/journals/international-journal-of-quantitative-and-qualitative-research-methods-ijqqrm/vol-4-issue-1-july-2016/structure-equation-modeling-basic-assumptions-concepts-novices-guide/
- Lai, C., Wang, Q., & Lei, J. (2012). What factors predict undergraduate students’ use of technology for learning? A case from Hong Kong. Computers and Education, 59(2), 569–579. https://doi.org/https://doi.org/10.1016/j.compedu.2012.03.006
- Lee, Y., Lee, J., & Hwang, Y. (2015). Relating motivation to information and communication technology acceptance: Self-determination theory perspective. Computers in Human Behavior, 51(PA), 418–428. https://doi.org/https://doi.org/10.1016/j.chb.2015.05.021
- Lin, P., Chai, C., Jong, M., Dai, Y., Yanmei, G., & Jianjun, Q. (2020). Modeling the structural relationship among primary students’ motivation to learn artificial intelligence. Computers and Education: Artificial Intelligence. https://doi.org/https://doi.org/10.1016/j.caeai.2020.100006
- Lippincott, W. T. (1979). Why students hate chemistry. Journal of Chemical Education, 56(1), 1. https://doi.org/https://doi.org/10.1021/ed056p1
- Mahdi, G. J. (2014). Student attitudes towards chemistry: An examination of choices and preferences. American Journal of Educational Research, 2(6), 351–356. https://doi.org/https://doi.org/10.12691/education-2-6-3
- Moon, S. J. (2021). Investigating beliefs, attitudes, and intentions regarding Green restaurant patronage: An application of the extended theory of planned behavior with moderating effects of gender and age. International Journal of Hospitality Management, 92(September 2020). https://doi.org/https://doi.org/10.1016/j.ijhm.2020.102727
- Mundra, N., & Mishra, R. P. (2021). Business Sustainability in post COVID-19 Era by integrated LSS-AM model in manufacturing: A structural equation modeling. 28th CIRP Conference on Life Cycle Engineering, 98, 535–540. https://doi.org/https://doi.org/10.1016/j.procir.2021.01.147
- Naeem, A., Mirza, N., Ayyub, R. M., & Ladhi, R. N. (2017). HRM practices and faculty’s knowledge sharing behavior: Mediation of affective commitment and affect-based trust. Studies in Higher Education, 44(3), 499–512. https://doi.org/https://doi.org/10.1080/03075079.2017.1378635
- Navarro, M. M., Prasetyo, Y. T., Young, M. N., Nadlifatin, R., & Redi, A. A. (2021). The perceived satisfaction in utilizing learning management system among engineering students during the COVID-19 pandemic: Integrating Task technology Fit and extended technology acceptance model. Sustainability, 13(19), 10669. https://doi.org/https://doi.org/10.3390/su131910669
- Nwagbo, C. (2006). Effects of two teaching methods on the achievement in and attitude to biology of students of different levels of scientific literacy. International Journal of Educational Research, 45(3), 216–229. https://doi.org/https://doi.org/10.1016/j.ijer.2006.11.004
- Ong, A. K., Prasetyo, Y. T., Salazar, J. M., Erfe, J. J., Abella, A. A., Young, M. N., Chuenyindee, T., Nadlifatin, R., Redi, N. P., & A, A. (2021). Investigating the acceptance of the reopening Bataan nuclear power plant: Integrating protection motivation theory and extended theory of planned behavior. Nuclear Engineering and Technology. https://doi.org/https://doi.org/10.1016/j.net.2021.08.032
- Ong, A. K. S., Prasetyo, Y. T., Lagura, F. C., Ramos, R. N., Sigua, K. M., Villas, J. A., Young, M. N., Diaz, J. F. T., Persada, S. F., & Redi, A. A. N. P. (2021). Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction, 63, 102467. https://doi.org/https://doi.org/10.1016/j.idrr.2021.102467
- Ong, A. K. S., Prasetyo, Y. T., Young, M. N., Diaz, J. F., Chuenyindee, T., Kusonwattana, P., Yuduang, N., Nadlifatin, R., & Redi, A. A. N. P. (2021). Students’ preference analysis on online learning attributes in industrial engineering education during the COVID-19 pandemic: A conjoint analysis approach for sustainable industrial engineers. Sustainability, 3(15), 8339. https://doi.org/https://doi.org/10.3390/su13158339
- Osma, I., Kemal, F. E., & Radid, M. (2015). Analysis of determinants and factors motivating students in higher education: Case of the students of chemistry at the Ben m’sik faculty of sciences. Procedia – Social and Behavioral Sciences, 197(February), 286–291. https://doi.org/https://doi.org/10.1016/j.sbspro.2015.07.138
- Otoo, D., Iddrisu, W. A., Kessie, J. A., & Larbi, E. (2018). Structural model of students’ interest and self-motivation to learning mathematics. Education Research International, 2018. https://doi.org/https://doi.org/10.1155/2018/9417109
- Ouano, G. J. V. J., Torre, J. F. D. L., Japitan, W. I., & Moneva, J. C. (2019). Factors influencing on Grade 12 students chosen courses in Jagobiao national high school – senior high school department. International Journal of Scientific and Research Publications (IJSRP), 9(1), 8555. https://doi.org/https://doi.org/10.29322/ijsrp.9.01.2019.p8555
- Papanastasiou, C. (2000). Effects of attitudes and belief on mathematics achievement. Studies in Educational Evaluation, 26(1), 27–42. https://doi.org/https://doi.org/10.1016/S0191-491X(00)00004-3
- Pascual, N. T. (2014). Factors affecting high school students’ career preference: A basis for career planning program. International Journal of Sciences: Basic and Applied Research (IJSBAR), 16(1), 1–14. http://gssrr.org/index.php?journal=JournalOfBasicAndApplied
- Prasetyo, Y. T., Roque, R. A., Chuenyindee, T., Young, M. N., Diaz, J. F., Persada, S. F., Miraja, B. A., & Perwira Redi, A. A. (2021). Determining factors affecting the acceptance of medical education elearning platforms during the COVID-19 pandemic in the Philippines: Utaut2 approach. Healthcare, 9(7), 780. https://doi.org/https://doi.org/10.3390/healthcare9070780
- Quive, L. G., Leandro, S., Bandali, E. C., Gueze, G. A., João, D. A., Gomundanhe, A. M., Neuana, N. F., & Macuvele, D. L. P. (2021). Exploring materials locally available to teach chemistry experimentally in developing countries. Education for Chemical Engineers, 34, 1–8. https://doi.org/https://doi.org/10.1016/j.ece.2020.09.004
- Ripoll, V., Godino-Ojer, M., & Calzada, J. (2021). Teaching chemical engineering to biotechnology students in the time of COVID-19: Assessment of the adaptation to digitalization. Education for Chemical Engineers, 34, 21–32. https://doi.org/https://doi.org/10.1016/j.ece.2020.11.001
- Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and Wellness. Guilford Press.
- Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61(April). https://doi.org/https://doi.org/10.1016/j.cedpsych.2020.101860
- Sevian, H., & Fulmer, G. G. W. (2012). Student outcomes from innovations in undergraduate chemistry laboratory learning. A review of projects funded by the U.S. National Science foundation between 2000-2008. Educación Química, 23(1), 149–161. https://doi.org/https://doi.org/10.1016/S0187-893X(17)30147-7
- Sheldrake, R., Mujtaba, T., & Reiss, M. J. (2017). Science teaching and students’ attitudes and aspirations: The importance of conveying the applications and relevance of science. International Journal of Educational Research, 85(August), 167–183. https://doi.org/https://doi.org/10.1016/j.ijer.2017.08.002
- Shen, K.-M., Lee, M.-H., Tsai, C.-C., & Chang, C.-Y. (2016). Undergraduate students’ earth science learning: Relationships among conceptions, approaches, and learning self-efficacy in Taiwan. International Journal of Science Education, 38(9), 1527–1547. https://doi.org/https://doi.org/10.1080/09500693.2016.1198060
- Singer, S. R., Hilton, M. L., & Schweingruber, H. A. (2006). America’s Lab report: Investigations in high school science. The National Academic Press.
- Sneddon, P. H., & Douglas, R. (2013). The attitudes towards, and experiences of, laboratory teaching in year 1 chemistry and physics University courses. New Directions, 9(1), 49–54. https://doi.org/https://doi.org/10.11120/ndir.2013.00013
- Su, M.-S., Chang, T.-C., Wu, C.-C., & Liao, C.-W. (2016). Factors affecting the student Career decision-making of junior high school students in central Taiwan area. International Journal of Information and Education Technology, 6(10), 843–850. https://doi.org/https://doi.org/10.7763/ijiet.2016.v6.803
- Tilahun, K., & Tirfu, M. (2016). Common difficulties experienced by Grade 12 students in learning chemistry in Ebinat preparatory school. African Journal of Chemical Education, 6(2), 16–32. https://www.ajol.info/index.php/ajce/article/view/140984
- Tsai, T., Chang, Y., Chang, H., & Lin, Y. (2021). Running on a social exercise platform: Applying self-determination theory to increase motivation to participate in a sporting event. Computers and Education, 114, 106523. https://doi.org/https://doi.org/10.1016/j.chb.2020.106523
- Tupas, F. P., & Matsuura, T. (2019). Moving forward in stem education, challenges and innovations in senior high school in the Philippines: The case of Northern Iloilo Polytechnic State College. Journal Pendidikan IPA Indonesia, 8(3), 407–416. https://doi.org/https://doi.org/10.15294/jpii.v8i3.19707
- Vallespin, M. R., Aliman , A., Sedurifa, E. N., Salic-Hairulla, M., & Jorolan, J. H. (2019). Experienced difficulties Of BSE-chemistry students in physical chemistry and suggested enhancement. Journal of Physics: Conference Series, 1340(1), 012062. https://doi.org/https://doi.org/10.10188/1742-6569/1340/1/012062
- Walters, A. U. C., Lawrence, W., & Jalsa, N. K. (2017). Chemical laboratory safety awareness, attitudes and practices of tertiary students. Safety Science, 96, 161–171. https://doi.org/https://doi.org/10.1016/j.ssci.2017.03.017
- Wang, C. K. J., Liu, W. C., Kee, Y. H., & Chian, L. K. (2019). Competence, autonomy, and relatedness in the classroom: Understanding students’ motivational processes using the self-determination theory. Heliyon, 5(7), e01983. https://doi.org/https://doi.org/10.1016/j.heliyon.2019.e01983
- White, R. L., Bennie, A., Vasconcellos, D., Cinelli, R., Hilland, T., Owen, K. B., & Lonsdale, C. (2020). Self-determination theory in physical education: A systematic review of qualitative studies. Teaching and Teacher Education, 103247. https://doi.org/https://doi.org/10.1016/j.tate.2020.103247
- Wojciechowski, R., & Cellary, W. (2013). Evaluation of learners’ attitude toward learning in ARIES augmented reality environments. Computers and Education, 68, 570–585. https://doi.org/https://doi.org/10.1016/j.compedu.2013.02.014
- Yoon, J., Vonortas, N. S., & Han, S. W. (2020). Do-it-yourself laboratories and attitude toward use: The effects of self-efficacy and the perception of security and privacy. Technological Forecasting and Social Change, 159(May). https://doi.org/https://doi.org/10.1016/j.techfore.2020.120192
- Yun, H., & Park, S. (2018). Building a structural model of motivational regulation and learning engagement for undergraduate and graduate students in higher education. Studies in Higher Education, 42, 271–285. https://doi.org/https://doi.org/10.1080/03075079.2018.1510910
- Yunus, F. W., & Ali, Z. M. (2012). Urban students’ attitude towards learning chemistry. Procedia – Social and Behavioral Sciences, 68, 295–304. https://doi.org/https://doi.org/10.1016/j.sbspro.2012.12.228