Agra, G., Formiga, N. S., de Oliveira, P. S., Costa, M. M. L., Fernandes, M. G. M., & da Nóbrega, M. M. L. (2019). Analysis of the concept of meaningful learning in light of the Ausubel’s Theory. Revista Brasileira de Enfermagem, 72(1), 248-255. https://doi.org/10.1590/0034-7167-2017-0691

Akat, M., & Karataş, K. (2020). COVID-19 Pandemisinin toplum psikolojisine etkileri ve eğitime yansımaları [The effects of the COVID - 19 Pandemic on community psychology and reflections on education]. Turkish Studies, 15(4), 1-13. https://doi.org/10.7827/TurkishStudies.44336

Amrina, Z., Desfitri, R., Zuzano, F., Wahyuni, Y., Hidayat, H., & Alfino, J. (2018). Developing instruments to measure students’ logical, critical, and creative thinking competences for Bung Hatta University students. International Journal of Engineering and Technology, 7(4.9), 128-131. https://doi.org/10.14419/ijet.v7i4.9.20633

Anwar, M., Hidayat, H., Yulistiowarno, I. P., Budayawan, K., Zulwisli, Osumah, O. A., & Ardi, Z. (2022). Blended learning based project in electronics engineering education courses: A learning innovation after the Covid-19 Pandemic. International Journal of Interactive Mobile Technologies, 16(14), 107-122. https://doi.org/10.3991/ijim.v16i14.33307

Augner, C., & Hacker, G. W. (2012). Associations between problematic mobile phone use and psychological parameters in young adults. International Journal of Public Health, 57, 437-441. https://doi.org/10.1007/s00038-011-0234-z

Ausubel, D. G. (1963). Cognitive structure and the facilitation of meaningful verbal learning. Journal of Teacher Education, 14(2), 217-222. https://doi.org/10.1177/002248716301400220

Baltaci, S., Yildiz, A., & Özcakir, B. (2016). The relationship between metacognitive awareness levels, learning styles, genders and Mathematics Grades of fifth graders. Journal of Education and Learning, 5(4), 78-89. https://doi.org/10.5539/jel.v5n4p78

Barenberg, J., & Dutke, S. (2019). Testing and metacognition: Retrieval practise effects on metacognitive monitoring in learning from text. Memory, 27(3), 269-279. https://doi.org/10.1080/09658211.2018.1506481

Barnes, E. M., & Stephens, S. J. (2019). Supporting mathematics vocabulary instruction through mathematics curricula. The Curriculum Journal, 30(3), 322-341. https://doi.org/10.1080/09585176.2019.1614470

Basham, J. D., Hall, T. E., Carter, R. A., & Stahl, W. M. (2016). An operationalized understanding of personalized learning. Journal of Special Education Technology, 31(3), 126-136. https://doi.org/10.1177/0162643416660835

Blair, B. J., & Shawler, L. A. (2020). Developing and implementing emergent responding training systems with available and low-cost computer-based learning tools: Some best practices and a tutorial. Behavior Analysis in Practice, 13, 509-520. https://doi.org/10.1007/s40617-019-00405-x

Cervin-Ellqvist, M., Larsson, D., Adawi, T., Stöhr, C., & Negretti, R. (2021). Metacognitive illusion or self-regulated learning? Assessing engineering students’ learning strategies against the backdrop of recent advances in cognitive science. Higher Education, 82, 477-498. https://doi.org/10.1007/s10734-020-00635-x

DeMink-Carthew, J., Netcoh, S., & Farber, K. (2020). Exploring the potential for students to develop self-awareness through personalized learning. Journal of Educational Research, 113(3), 165-176. https://doi.org/10.1080/00220671.2020.1764467

Drăghicescu, L. M., Cristea, S., Petrescu, A.-M., Gorghiu, G., & Gorghiu, L. M. (2015). The learning to learn competence - guarantor of personal development. Procedia - Social and Behavioral Sciences, 191, 2487-2493. https://doi.org/10.1016/j.sbspro.2015.04.571

Egbert, J., & Plonsky, L. (2020). Bootstrapping techniques. In M. Paquot & S.T. Gries (Eds.), A practical handbook of corpus linguistics (pp. 593-610). Springer. https://doi.org/10.1007/978-3-030-46216-1_24

Fan, K.-K., Xiao, P.-W., & Su, C. (2015). The Effects of Learning Styles and Meaningful Learning on the Learning Achievement of Gamification Health Education Curriculum. EURASIA Journal of Mathematics, Science and Technology Education, 11(5), 1211-1229. https://doi.org/10.12973/eurasia.2015.1413a

Gallego-Gómez, J. I., Campillo-Cano, M., Carrión-Martínez, A., Balanza, S., Rodríguez-González-Moro, M. T., Simonelli-Muñoz, A. J., & Rivera-Caravaca, J. M. (2020). The COVID-19 pandemic and its impact on homebound nursing students. International Journal of Environmental Research and Public Health, 17(20), Article 7383. https://doi.org/10.3390/ijerph17207383

Ganefri, Hidayat, H., Yulastri, A., & Yondri, S. (2019). Design of production-based entrepreneurship technology training model to improve the skills of Engineering Students. International Journal of Innovative Technology and Exploring Engineering, 8(11), 2042-2047. https://doi.org/10.35940/ijitee.K1930.0981119

Ghasemy, M., Teeroovengadum, V., Becker, J.-M., & Ringle, C. M. (2020). This fast car can move faster: A review of PLS-SEM application in higher education research. The International Journal of Higher Education Research, 80, 1121-1152. https://doi.org/10.1007/s10734-020-00534-1

Gliner, J. A., Morgan, G. A., & Leech, N. L. (2009). Research methods in applied settings. Routledge. https://doi.org/10.4324/9780203843109

Gökçearslan, Ş., Kuşkaya Mumcu, F., Haşlaman, T., & Demiraslan Çevik, Y. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639-649. https://doi.org/10.1016/j.chb.2016.05.091

Gonzalez-Nucamendi, A., Noguez, J., Neri, L., Robledo-Rella, V., García-Castelán, R. M. G., & Escobar-Castillejos, D. (2021). The prediction of academic performance using engineering student’s profiles. Computers and Electrical Engineering, 93, Article 107288. https://doi.org/10.1016/j.compeleceng.2021.107288

Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2019). Partial least squares structural equation modeling-based discrete choice modeling: An illustration in modeling retailer choice. Business Research, 12, 115-142. https://doi.org/10.1007/s40685-018-0072-4

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40, 414-433. https://doi.org/10.1007/s11747-011-0261-6

Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442-458. https://doi.org/10.1108/IMDS-04-2016-0130

Hesson, M., & Shad, K. F. (2007). A student-centered learning model. American Journal of Applied Sciences, 4(9), 628-636. https://doi.org/10.3844/ajassp.2007.628.636

Hetz, P. R., Dawson, C. L., & Cullen, T. A. (2015). Social media use and the fear of missing out (FoMO) while studying abroad. Journal of Research on Technology in Education, 47(4), 259-272. https://doi.org/10.1080/15391523.2015.1080585

Hidayat, H. (2017). Impact of learning with the production-based learning model in vocational school. International Journal of Research in Engineering and Social Sciences, 7(2), 1-6. https://bit.ly/46dTRqN

Hidayat, H., Harmanto, D., Isa, M. R. M., Tanucan, J. C. M., Ahlunnazak, A. I., Ifdil, I., & Ardi, Z. (2024). Importance of metacognitive awareness in learning and instruction for Engineering Students’ Education. Journal of Social Studies Education Research, 15(1), 149-186. https://bit.ly/4dbQ6Ex

Hidayat, H., Tamin, B. Y., Herawati, S., Hidayati, A., & Muji, A. P. (2019). Implementation of technopreneurship scientific learning for produce electronic product prototypes in Engineering Education. International Journal of Innovative Technology and Exploring Engineering, 8(11), 2842-2846. https://doi.org/10.35940/ijitee.K2406.0981119

Hidayati, A., Bentri, A., & Eldarni. (2022). Supporting factors for the implementation of mobile learning for elementary School Students using an authentic approach and real-world activities. International Journal of Interactive Mobile Technologies, 16(05), 107-120. https://doi.org/10.3991/ijim.v16i05.26551

Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60. https://bit.ly/3O3O4fU   

Huang, Y.-M., & Chiu, P.-S. (2015). The effectiveness of a meaningful learning‐based evaluation model for context‐aware mobile learning. British Journal of Educational Technology, 46(2), 437-447. https://doi.org/10.1111/bjet.12147

Ibrahim, I. A., & Khatib, T. (2017). A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm. Energy Conversion and Management, 138, 413-425. https://doi.org/10.1016/j.enconman.2017.02.006

Irshad, A., Naseem, S., & Nasreen, A. (2022). Exploring fear of missing out (FOMO) among students during COVID-19 pandemic at university level. Journal of Educational Psychology and Pedagogical Sciences, 1(1).

Jaleel, S., & Premachandran, P. (2016). A study on the metacognitive awareness of secondary school students. Universal Journal of Educational Research, 4(1), 165-172. https://doi.org/10.13189/ujer.2016.040121

Jalinus, N., Ganefri, Zaus, M. A., Wulansari, R. E., Nabawi, R. A., & Hidayat, H. (2022). Hybrid and collaborative networks approach: Online learning integrated project and Kolb learning style in mechanical engineering courses. International Journal of Online and Biomedical Engineering, 18(15), 4-16. https://doi.org/10.3991/ijoe.v18i15.34333

Karatas, K., & Arpaci, I. (2021). The role of self-directed learning, metacognition, and 21st Century skills predicting the readiness for online learning. Contemporary Educational Technology, 13(3), Article ep300. https://doi.org/10.30935/cedtech/10786

Khan, M. M. H., & Chiang, J. C. L. (2014). Using mobile devices and social media in supporting engineering education. In Proceedings of IEEE Global Engineering Education Conference (EDUCON) 2014 (pp. 1077-1081). IEEE. https://doi.org/10.1109/EDUCON.2014.6826241

Kim, S., Kim, D., Cho, S. W., Kim, J., & Kim, J.-S. (2014). Highly efficient RNA-guided genome editing in human cells via delivery of purified Cas9 ribonucleoproteins. Genome Research, 24, 1012-1019. https://doi.org/10.1101/gr.171322.113

Klašnja-Milićević, A., & Ivanović, M. (2021). E-learning personalization systems and sustainable education. Sustainability, 13(12), Article 6713. https://doi.org/10.3390/su13126713

Kock, N. (2015). Common method bias in PLS-SEM. International Journal of E-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101

Kwan, H. K., Mao, Y., & Zhang, H. (2010). The impact of role modeling on protégés’ personal learning and work-to-family enrichment. Journal of Vocational Behavior, 77(2), 313-322. https://doi.org/10.1016/j.jvb.2010.04.009

Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013). Development and validation of a smartphone addiction scale (SAS). PLoS ONE, 8(2), Article e56936. https://doi.org/10.1371/journal.pone.0056936

Lin, Y.-H., Lin, Y.-C., Lee, Y.-H., Lin, P.-H., Lin, S.-H., Chang, L.-R., Tseng, H.-W., Yen, L.-Y., Yang, C. C. H., & Kuo, T. B. J. (2015). Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). Journal of Psychiatric Research, 65, 139-145. https://doi.org/10.1016/j.jpsychires.2015.04.003

McLoughlin, C., & Lee, M. J. W. (2010). Personalised and self-regulated learning in the Web 2.0 era: International exemplars of innovative pedagogy using social software. Australasian Journal of Educational Technology, 26(1), 28-43. https://doi.org/10.14742/ajet.1100

Mucha, M., Wiśniewska, M., & Nȩcka, E. (2020). Time perspective and self-control: Metacognitive management of time is important for efficient self-regulation of behavior. Current Issues in Personality Psychology, 8(2), 83-91. https://doi.org/10.5114/cipp.2020.97286

Mustajab, M., Baharun, H., & Fawa’iedah, Z. (2020). Adapting to teaching and learning during Covid-19: A case of Islamic School’s initiative of self-regulated learning. Nadwa: Jurnal Pendidikan Islam, 14(2), 241-264. https://doi.org/10.21580/nw.2020.14.2.6515

Negovan, V., Sterian, M., & Colesniuc, G.-M. (2015). Conceptions of learning and intrinsic motivation in different learning environments. Procedia - Social and Behavioral Sciences, 187, 642-646. https://doi.org/10.1016/j.sbspro.2015.03.119

Ożadowicz, A. (2020). Modified blended learning in engineering Higher Education during the COVID-19 lockdown-building automation courses case study. Education Sciences, 10(10), Article 292. https://doi.org/10.3390/educsci10100292

Panda, A., & Mohapatra, S. (2024). Research design. The Online Healthcare Community, 53-62. https://doi.org/10.1108/978-1-83549-140-920241004

Pangrazio, L., Godhe, A.-L., & Ledesma, A. G. L. (2020). What is digital literacy? A comparative review of publications across three language contexts. E-Learning and Digital Media, 17(6), 442-459. https://doi.org/10.1177/2042753020946291

Pearce, K. E. (2013). Phoning it in: Theory in mobile media and communication in developing countries. Mobile Media and Communication, 1(1), 76-82. https://doi.org/10.1177/2050157912459182

Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841-1848. https://doi.org/10.1016/j.chb.2013.02.014

Qutishat, M., & Sharour, L. A. (2019). Relationship between fear of missing out and academic performance among Omani University Students: A descriptive correlation study. Oman Medical Journal, 34(5), 404-411. https://doi.org/10.5001/omj.2019.75

Rayens, W., & Ellis, A. (2018). Creating a student-centered learning environment online. Journal of Statistics Education, 26(2), 92-102. https://doi.org/10.1080/10691898.2018.1475205

Rizal, F., Hidayat, H., Jaya, P., Waskito, Hendri, & Verawardina, U. (2022). Lack e-learning effectiveness: An analysis evaluating e-learning in engineering education. International Journal of Instruction, 15(4), 197-220. https://doi.org/10.29333/iji.2022.15412a

Saari, E. M., Azmi, N. H., Ibrahim, N., & Novaliendry, D. (2024). Development of energy saving application through gamification-factors: A systematic review. Journal of Advanced Research in Applied Sciences and Engineering Technology, 33(3), 341-350. https://bit.ly/4fsU8dN

Samala, A. D., Govender, T., Tsoy, D., Bojic, L., Samala, A. G., Samala, M. P., Prasetya, F., Yanto, D. T. P., Zainul, R., & Fortuna, A. (2024). 3D Visualizations in learning: An evaluation of an AR+core application for computer hardware education using the hedonic motivation system adoption model. TEM Journal, 13(1), 466-475. https://doi.org/10.18421/TEM131-48

Samala, A. D., & Rawas, S. (2024). Generative AI as virtual healthcare assistant for enhancing patient care quality. International Journal of Online and Biomedical Engineering, 20(05), 174-187. https://doi.org/10.3991/ijoe.v20i05.45937

Sánchez-Cruzado, C., Santiago Campión, R., & Sánchez-Compaña, M. T. (2021). Teacher digital literacy: The indisputable challenge after COVID-19. Sustainability, 13(4), Article 1858. https://doi.org/10.3390/su13041858

Saritepeci, M. (2020). Predictors of cyberloafing among high school students: Unauthorized access to school network, metacognitive awareness and smartphone addiction. Education and Information Technologies, 25, 2201-2219. https://doi.org/10.1007/s10639-019-10042-0

Somyürek, S. (2015). An effective educational tool: Construction kits for fun and meaningful learning. International Journal of Technology and Design Education, 25, 25-41. https://doi.org/10.1007/s10798-014-9272-1

Son, J.-B., Park, S.-S., & Park, M. (2017). Digital literacy of language learners in two different contexts. Jalt Call Journal, 13(2), 77-96. https://doi.org/10.29140/jaltcall.v13n2.213

Stanton, J. D., Sebesta, A. J., & Dunlosky, J. (2021). Fostering Metacognition to Support Student Learning and Performance. CBE—Life Sciences Education, 20(2), 1-7. https://doi.org/10.1187/cbe.20-12-0289

Su, H., Chang, N.-J., Wu, W.-L., Guo, L.-Y., & Chu, I.-H. (2017). Acute effects of foam rolling, static stretching, and dynamic stretching during warm-ups on muscular flexibility and strength in Young Adults. Journal of Sport Rehabilitation, 26(6), 469-477. https://doi.org/10.1123/jsr.2016-0102

Tejedor, S., Cervi, L., Pérez-Escoda, A., & Jumbo, F. T. (2020). Digital literacy and higher education during COVID-19 lockdown: Spain, Italy, and Ecuador. Publications, 8(4), Article 48. https://doi.org/10.3390/publications8040048

Tomczyk, Ł., & Selmanagic-Lizde, E. (2018). Fear of Missing Out (FOMO) among youth in Bosnia and Herzegovina — Scale and selected mechanisms. Children and Youth Services Review, 88, 541-549. https://doi.org/10.1016/j.childyouth.2018.03.048

Tsai, J., & Wilson, M. (2020). COVID-19: A potential public health problem for homeless populations. The Lancet Public Health, 5(4), e186–e187. https://doi.org/10.1016/S2468-2667(20)30053-0

Tunc-Aksan, A., & Akbay, S. E. (2019). Smartphone addiction, fear of missing out, and perceived competence as predictors of social media addiction of adolescents. European Journal of Educational Research, 8(2), 559-569. https://doi.org/10.12973/eu-jer.8.2.559

Van Deursen, A. J. A. M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411-420. https://doi.org/10.1016/j.chb.2014.12.039

Vettori, G., Vezzani, C., Bigozzi, L., & Pinto, G. (2018). The mediating role of conceptions of learning in the relationship between metacognitive skills/strategies and academic outcomes among Middle-School Students. Frontiers in Psychology, 9, Article 01985. https://doi.org/10.3389/fpsyg.2018.01985

Voukelatou, G. (2019). The contribution of experiential learning to the development of cognitive and social skills in Secondary Education: A Case Study. Education Sciences, 9(2), Article 127. https://doi.org/10.3390/educsci9020127

Whistler, T., Sangwichian, O., Jorakate, P., Sawatwong, P., Surin, U., Piralam, B., Thamthitiwat, S., Promkong, C., & Peruski, L. (2019). Identification of Gram negative non-fermentative bacteria: How hard can it be? PLOS Neglected Tropical Diseases, 13(9), Article e0007729. https://doi.org/10.1371/journal.pntd.0007729

Wilmer, H. H., Sherman, L. E., & Chein, J. M. (2017). Smartphones and cognition: A review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology, 8, Article 00605. https://doi.org/10.3389/fpsyg.2017.00605

Ye, X., Li, Y., Liu, Y., Zheng, Q., Lin, Z., Zeng, Y., Lin, Z., Zhu, T., Chen, X., Chen, L., & Liu, T. (2023). Effect of fear of missing out on learning burnout in medical students: A moderated mediation. Frontiers in Psychiatry, 14, Article 1289906. https://doi.org/10.3389/fpsyt.2023.1289906