The Effect of Cloud Tracking-Based Integrated Supply Chain Learning Devices on Critical Thinking Skills, Learning Behavior, Student Career Development with Variable Moderation Learning Media
DOI:
https://doi.org/10.24857/rgsa.v18n8-013Keywords:
Export Platform, Critical Thinking Skills, Learning Behavior, Career Development, Learning MediaAbstract
Purpose: In this context, integrated supply chain learning (ISCL) is defined as a learning approach that integrates learning resources from various parties. This research aims to examine the effect of using ISCL on students' critical thinking skills, students' learning behavior, students' career development, and this research will also consider moderating variables related to learning media.
Theoretical framework: In the current era of globalization and technological progress, the need for learners equipped with relevant skills to face the challenges of the 21st century is increasingly urgent. Critical thinking skills, adaptive learning behavior, and career development are the three main aspects that are the focus in preparing students to be successful in an ever-changing world.
Method/design/approach: This research methodology adopts a quantitative approach using surveys as a data collection instrument.
Results and conclusion: The results show that learning media has a significant role in mediating the relationship between technological devices and students' critical thinking skills, learning behavior, and career development.
Research implications: The implication of this research is the importance of integrating learning media in the education curriculum to prepare students with skills relevant to industry needs.
Originality/value: This research has a broad and positive impact in improving the education system, strengthening links between the world of education and industry, and providing better opportunities for students to achieve success in the world of work.
Downloads
References
Abdel Hadi, S. et al. (2023) ‘Relationships between proactive personality, work locus of control, and vocational satisfaction: the role of level of education’, Heliyon, 9(2). doi: 10.1016/j.heliyon.2023.e13283. DOI: https://doi.org/10.1016/j.heliyon.2023.e13283
Agarwal, R. and Dhingra, S. (2023) ‘Factors influencing cloud service quality and their relationship with customer satisfaction and loyalty’, Heliyon, 9(4), p. e15177. doi: 10.1016/j.heliyon.2023.e15177. DOI: https://doi.org/10.1016/j.heliyon.2023.e15177
Aisbett, E. et al. (2023) ‘International green economy collaborations: Chasing mutual gains in the energy transition’, Energy Research and Social Science, 104(March), p. 103249. doi: 10.1016/j.erss.2023.103249. DOI: https://doi.org/10.1016/j.erss.2023.103249
Akundi, A. et al. (2022) ‘State of Industry 5.0—Analysis and Identification of Current Research Trends’, Applied System Innovation, 5(1), pp. 1–14. doi: 10.3390/asi5010027. DOI: https://doi.org/10.3390/asi5010027
Andrioni, F. and Popp, L. E. (2012) ‘Plea For The Development of Human Resources Through Professional Training in Romania’, Procedia - Social and Behavioral Sciences, 62, pp. 413–417. doi: 10.1016/j.sbspro.2012.09.067. DOI: https://doi.org/10.1016/j.sbspro.2012.09.067
Asmussen, C. B. and Møller, C. (2019) ‘Smart literature review: a practical topic modelling approach to exploratory literature review’, Journal of Big Data, 6(1). doi: 10.1186/s40537-019-0255-7. DOI: https://doi.org/10.1186/s40537-019-0255-7
Belhadi, A. et al. (2022) ‘Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework’, International Journal of Production Research, 60(14), pp. 4487–4507. doi: 10.1080/00207543.2021.1950935. DOI: https://doi.org/10.1080/00207543.2021.1950935
Belwal, R. et al. (2020) ‘Project-based learning (PBL): outcomes of students’ engagement in an external consultancy project in Oman’, Education and Training, 63(3), pp. 336–359. doi: 10.1108/ET-01-2020-0006. DOI: https://doi.org/10.1108/ET-01-2020-0006
Bhatia, M. and Kale, S. (2023) ‘State of Digitalization in Lifestyle Apparel Industry’, Journal of Law and Sustainable Development, 11(6), pp. 1–13. doi: 10.55908/sdgs.v11i6.1255. DOI: https://doi.org/10.55908/sdgs.v11i6.1255
Boa, E. A., Wattanatorn, A. and Tagong, K. (2018) ‘The development and validation of the Blended Socratic Method of Teaching (BSMT): An instructional model to enhance critical thinking skills of undergraduate business students’, Kasetsart Journal of Social Sciences, 39(1), pp. 81–89. doi: 10.1016/j.kjss.2018.01.001. DOI: https://doi.org/10.1016/j.kjss.2018.01.001
Carpenter, J. P. et al. (2020) ‘How and why are educators using Instagram?’, Teaching and Teacher Education, 96, p. 103149. doi: 10.1016/j.tate.2020.103149. DOI: https://doi.org/10.1016/j.tate.2020.103149
Casey, J. R. et al. (2023) ‘Participation in a High-Structure General Chemistry Course Increases Student Sense of Belonging and Persistence to Organic Chemistry’, Journal of Chemical Education, 100(8), pp. 2860–2872. doi: 10.1021/acs.jchemed.2c01253. DOI: https://doi.org/10.1021/acs.jchemed.2c01253
Cavalcante, I. M. et al. (2019) ‘A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing’, International Journal of Information Management, 49(March), pp. 86–97. doi: 10.1016/j.ijinfomgt.2019.03.004. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.03.004
Chauhan, S. et al. (2023) ‘Enabling Technologies : A Sustainable Perspective’.
Coetzer, A., Susomrith, P. and Ampofo, E. T. (2020) ‘Opportunities to participate in formal and informal vocational learning activities and work-related outcomes in small professional services businesses’, Journal of Vocational Education and Training, 72(1), pp. 88–114. doi: 10.1080/13636820.2019.1584637. DOI: https://doi.org/10.1080/13636820.2019.1584637
Coppe, T. et al. (2024) ‘Beyond traditional narratives about teacher professional development: A critical perspective on teachers’ working life’, Teaching and Teacher Education, 139(December 2023). doi: 10.1016/j.tate.2023.104436. DOI: https://doi.org/10.1016/j.tate.2023.104436
Dutta, P. et al. (2020) ‘Blockchain technology in supply chain operations: Applications, challenges and research opportunities’, Transportation Research Part E: Logistics and Transportation Review, 142(August), p. 102067. doi: 10.1016/j.tre.2020.102067. DOI: https://doi.org/10.1016/j.tre.2020.102067
Dwivedi, Y. K. et al. (2021) ‘Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy’, International Journal of Information Management, 57(July), pp. 0–1. doi: 10.1016/j.ijinfomgt.2019.08.002. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Earle, A. G. and Leyva-de la Hiz, D. I. (2021) ‘The wicked problem of teaching about wicked problems: Design thinking and emerging technologies in sustainability education’, Management Learning, 52(5), pp. 581–603. doi: 10.1177/1350507620974857. DOI: https://doi.org/10.1177/1350507620974857
Elia, G. et al. (2019) ‘Assessing learners’ satisfaction in collaborative online courses through a big data approach’, Computers in Human Behavior, 92, pp. 589–599. doi: 10.1016/j.chb.2018.04.033. DOI: https://doi.org/10.1016/j.chb.2018.04.033
Elnagar, A. et al. (2022) ‘Prediction of the intention to use a smartwatch: A comparative approach using machine learning and partial least squares structural equation modeling’, Informatics in Medicine Unlocked, 29(January), p. 100913. doi: 10.1016/j.imu.2022.100913. DOI: https://doi.org/10.1016/j.imu.2022.100913
Fosso Wamba, S. and Akter, S. (2019) ‘Understanding supply chain analytics capabilities and agility for data-rich environments’, International Journal of Operations and Production Management, 39(6), pp. 887–912. doi: 10.1108/IJOPM-01-2019-0025. DOI: https://doi.org/10.1108/IJOPM-01-2019-0025
Harjana, M. N. S., Saputra, H. Y. and Tho, C. (2023) ‘A Review of the Potential Use of Mixed Reality Learning Methods in Comparison to Traditional Learning Methods’, Procedia Computer Science, 227, pp. 734–742. doi: 10.1016/j.procs.2023.10.578. DOI: https://doi.org/10.1016/j.procs.2023.10.578
Hastasari, C., Setiawan, B. and Aw, S. (2022) ‘Students’ communication patterns of islamic boarding schools: the case of Students in Muallimin Muhammadiyah Yogyakarta’, Heliyon, 8(1), p. e08824. doi: 10.1016/j.heliyon.2022.e08824. DOI: https://doi.org/10.1016/j.heliyon.2022.e08824
Hegarty, B. and Thompson, M. (2019) ‘A teacher’s influence on student engagement: Using smartphones for creating vocational assessment ePortfolios’, Journal of Information Technology Education: Research, 18, pp. 113–159. doi: 10.28945/4244. DOI: https://doi.org/10.28945/4244
Ho, Y. R. et al. (2023) ‘The distance between the humanities and medicine: Building a critical thinking mindset by interdisciplinary dialogue through mind mapping’, Thinking Skills and Creativity, 50(November), p. 101420. doi: 10.1016/j.tsc.2023.101420. DOI: https://doi.org/10.1016/j.tsc.2023.101420
Hornby, G. (2021) ‘Are inclusive education or special education programs more likely to result in inclusion post-school?’, Education Sciences, 11(6). doi: 10.3390/educsci11060304. DOI: https://doi.org/10.3390/educsci11060304
Huang, Y. C. et al. (2019) ‘An investigation of motivation and experience in virtual learning environments: a self-determination theory’, Education and Information Technologies, 24(1), pp. 591–611. doi: 10.1007/s10639-018-9784-5. DOI: https://doi.org/10.1007/s10639-018-9784-5
Hurst, G. A. (2018) ‘Utilizing Snapchat to Facilitate Engagement with and Contextualization of Undergraduate Chemistry’, Journal of Chemical Education, 95(10), pp. 1875–1880. doi: 10.1021/acs.jchemed.8b00014. DOI: https://doi.org/10.1021/acs.jchemed.8b00014
Kim, A. and Su, Y. (2024) ‘How implementing an AI chatbot impacts Korean as a foreign language learners’ willingness to communicate in Korean’, System, 122(February), p. 103256. doi: 10.1016/j.system.2024.103256. DOI: https://doi.org/10.1016/j.system.2024.103256
Langer, G., Schulze, H. and Kühl, S. (2024) ‘From intentions to adoption: Investigating the attitudinal and emotional factors that drive IoT sensor use among dairy farmers’, Smart Agricultural Technology, 7(December 2023), p. 100404. doi: 10.1016/j.atech.2024.100404. DOI: https://doi.org/10.1016/j.atech.2024.100404
Lavi, R., Tal, M. and Dori, Y. J. (2021) ‘Perceptions of STEM alumni and students on developing 21st century skills through methods of teaching and learning’, Studies in Educational Evaluation, 70, p. 101002. doi: 10.1016/j.stueduc.2021.101002. DOI: https://doi.org/10.1016/j.stueduc.2021.101002
Liengaard, B. D. (2024) ‘Measurement invariance testing in partial least squares structural equation modeling’, Journal of Business Research, 177(February 2023), p. 114581. doi: 10.1016/j.jbusres.2024.114581. DOI: https://doi.org/10.1016/j.jbusres.2024.114581
Luz, E. et al. (2022) ‘Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images’, Research on Biomedical Engineering, 38(1), pp. 149–162. doi: 10.1007/s42600-021-00151-6. DOI: https://doi.org/10.1007/s42600-021-00151-6
Makhdoom, I. et al. (2020) ‘PrivySharing: A blockchain-based framework for privacy-preserving and secure data sharing in smart cities’, Computers and Security, 88, p. 101653. doi: 10.1016/j.cose.2019.101653. DOI: https://doi.org/10.1016/j.cose.2019.101653
Maksum, A., Wayan Widiana, I. and Marini, A. (2021) ‘Path analysis of self-regulation, social skills, critical thinking and problem-solving ability on social studies learning outcomes’, International Journal of Instruction, 14(3), pp. 613–628. doi: 10.29333/iji.2021.14336a. DOI: https://doi.org/10.29333/iji.2021.14336a
Manca, S., Raffaghelli, J. E. and Sangrà, A. (2023) ‘A learning ecology-based approach for enhancing Digital Holocaust Memory in European cultural heritage education’, Heliyon, 9(9). doi: 10.1016/j.heliyon.2023.e19286. DOI: https://doi.org/10.1016/j.heliyon.2023.e19286
Ojala, J. et al. (2023) ‘The role of career adaptability resources in dual career pathways: A person-oriented longitudinal study across elite sports upper secondary school’, Psychology of Sport and Exercise, 67(March), p. 102438. doi: 10.1016/j.psychsport.2023.102438. DOI: https://doi.org/10.1016/j.psychsport.2023.102438
Oke, A. and Fernandes, F. A. P. (2020) ‘Innovations in teaching and learning: Exploring the perceptions of the education sector on the 4th industrial revolution (4IR)’, Journal of Open Innovation: Technology, Market, and Complexity, 6(2). doi: 10.3390/JOITMC6020031. DOI: https://doi.org/10.3390/joitmc6020031
Parsons, A. F. and Sarju, J. P. (2023) ‘Research-Led Learning in Action: Development of an Online Chemistry Course for Final-Year Undergraduates’, Journal of Chemical Education, 100(5), pp. 1877–1884. doi: 10.1021/acs.jchemed.2c01207. DOI: https://doi.org/10.1021/acs.jchemed.2c01207
Radianti, J. et al. (2020) ‘A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda’, Computers and Education, 147, p. 103778. doi: 10.1016/j.compedu.2019.103778. DOI: https://doi.org/10.1016/j.compedu.2019.103778
Remko, van H. (2020) ‘Research opportunities for a more resilient post-COVID-19 supply chain – closing the gap between research findings and industry practice’, International Journal of Operations and Production Management, 40(4), pp. 341–355. doi: 10.1108/IJOPM-03-2020-0165. DOI: https://doi.org/10.1108/IJOPM-03-2020-0165
Richter, E. et al. (2022) ‘Instagram as a platform for teacher collaboration and digital social support’, Computers and Education, 190(May). doi: 10.1016/j.compedu.2022.104624. DOI: https://doi.org/10.1016/j.compedu.2022.104624
Sauli, F., Wenger, M. and Fiori, M. (2022) ‘Emotional competences in vocational education and training: state of the art and guidelines for interventions’, Empirical Research in Vocational Education and Training, 14(1). doi: 10.1186/s40461-022-00132-8. DOI: https://doi.org/10.1186/s40461-022-00132-8
Seybert, A. L. and Kane-gill, S. L. (2011) ‘Elective Course in Acute Care Using Online Learning and Patient Simulation’, American Journal of Pharmaceutical Education, 75(3), p. 54. doi: 10.5688/ajpe75354. DOI: https://doi.org/10.5688/ajpe75354
Shao, J., Gao, Q. and Wang, H. (2022) ‘Online Learning Behavior Feature Mining Method Based on Decision Tree’, Journal of Cases on Information Technology, 24(5), pp. 1–15. doi: 10.4018/JCIT.295244. DOI: https://doi.org/10.4018/JCIT.295244
Southworth, J. et al. (2023) ‘Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy’, Computers and Education: Artificial Intelligence, 4(October 2022). doi: 10.1016/j.caeai.2023.100127. DOI: https://doi.org/10.1016/j.caeai.2023.100127
Sridhar, A. et al. (2023) ‘Global impact of COVID-19 on agriculture: role of sustainable agriculture and digital farming’, Environmental Science and Pollution Research, 30(15), pp. 42509–42525. doi: 10.1007/s11356-022-19358-w. DOI: https://doi.org/10.1007/s11356-022-19358-w
Sukendro, S. et al. (2020) ‘Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context’, Heliyon, 6(11), p. e05410. doi: 10.1016/j.heliyon.2020.e05410. DOI: https://doi.org/10.1016/j.heliyon.2020.e05410
Sulistiobudi, R. A. and Kadiyono, A. L. (2023) ‘Employability of students in vocational secondary school: Role of psychological capital and student-parent career congruences’, Heliyon, 9(2), p. e13214. doi: 10.1016/j.heliyon.2023.e13214. DOI: https://doi.org/10.1016/j.heliyon.2023.e13214
Sun, Z., Anbarasan, M. and Praveen Kumar, D. (2021) ‘Design of online intelligent English teaching platform based on artificial intelligence techniques’, Computational Intelligence, 37(3), pp. 1166–1180. doi: 10.1111/coin.12351. DOI: https://doi.org/10.1111/coin.12351
Suputra, I. N., Basuki, A. and Septiana, A. (2023) Improve Students’ Critical Thinking and Skills Through Canva-Based E-Modules. Atlantis Press International BV. doi: 10.2991/978-94-6463-178-4_18. DOI: https://doi.org/10.2991/978-94-6463-178-4_18
Tise, J. C., Hernandez, P. R. and Wesley Schultz, P. (2023) ‘Mentoring underrepresented students for success: Self-regulated learning strategies as a critical link between mentor support and educational attainment’, Contemporary Educational Psychology, 75(October), p. 102233. doi: 10.1016/j.cedpsych.2023.102233. DOI: https://doi.org/10.1016/j.cedpsych.2023.102233
Tiwari, A. K. et al. (2023) ‘Determinants of electronic invoicing technology adoption: Toward managing business information system transformation’, Journal of Innovation and Knowledge, 8(3), p. 100366. doi: 10.1016/j.jik.2023.100366. DOI: https://doi.org/10.1016/j.jik.2023.100366
Troussas, C., Krouska, A. and Sgouropoulou, C. (2020) ‘Collaboration and fuzzy-modeled personalization for mobile game-based learning in higher education’, Computers and Education, 144(September 2019), p. 103698. doi: 10.1016/j.compedu.2019.103698. DOI: https://doi.org/10.1016/j.compedu.2019.103698
Walther, A. (2020) ‘Viewpoint: From Responsive to Adaptive and Interactive Materials and Materials Systems: A Roadmap’, Advanced Materials, 32(20), pp. 1–10. doi: 10.1002/adma.201905111. DOI: https://doi.org/10.1002/adma.201905111
Wings, I., Nanda, R. and Adebayo, K. J. (2021) ‘A Context-Aware Approach for Extracting Hard and Soft Skills’, Procedia Computer Science, 193, pp. 163–172. doi: 10.1016/j.procs.2021.10.016. DOI: https://doi.org/10.1016/j.procs.2021.10.016
Xing, C., Sun, Y. and Luo, C. (2023) ‘Opportunity of higher education and the choice of high schools’, China Economic Quarterly International, 3(2), pp. 119–131. doi: 10.1016/j.ceqi.2023.05.004. DOI: https://doi.org/10.1016/j.ceqi.2023.05.004
Yudatama, U. et al. (2019) ‘Data to model the effect of awareness on the success of IT Governance implementation: A partial least squares structural equation modeling approach (PLS-SEM)’, Data in Brief, 25, p. 104333. doi: 10.1016/j.dib.2019.104333. DOI: https://doi.org/10.1016/j.dib.2019.104333
Zheng, T. et al. (2021) ‘The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review’, International Journal of Production Research, 59(6), pp. 1922–1954. doi: 10.1080/00207543.2020.1824085. DOI: https://doi.org/10.1080/00207543.2020.1824085
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
•The author(s) authorize(s) the publication of the article in the journal; • The author(s) guarantee the contribution is original and novel, and is not under evaluation in any other publication(s); • The editorial team is not responsible for the opinions, ideas and concepts emitted in the published texts, these being the full responsibility of the author(s); • It is reserved to the editors the right to proceed with adjustments related to the text and compliance with publication standards.
