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Emerging technologies for STEM education: global evidence on learning, equity, and SDG4
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  • Review Article
  • Open access
  • Published: 09 March 2026

Emerging technologies for STEM education: global evidence on learning, equity, and SDG4

  • Prema Nedungadi1,
  • M. G. Thushara1,
  • G. Veena1,
  • Kai-Yu Tang  ORCID: orcid.org/0000-0002-3965-30552 &
  • …
  • Raghu Raman  ORCID: orcid.org/0000-0002-0851-97423 

Humanities and Social Sciences Communications , Article number:  (2026) Cite this article

  • 1919 Accesses

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Education
  • Information systems and information technology
  • Science, technology and society

Abstract

This study synthesizes research on emerging technologies in STEM education, investigating their potential to transform learning environments, enhance gender equity, use learning theories and impact SDG4 targets. In accordance with the PRISMA guidelines, the present study included 1990 publications pertaining to STEM education from the Scopus database. BERTopic modeling was used for the analysis, and the results identified four pivotal technologies: robotics, artificial intelligence (AI), extended reality (XR), and interconnected smart systems. The findings suggest that these technologies enhance technical and cognitive skills. The study identifies strategies used for gender equity and inclusion through these technologies. Although cognitive and psychological theories, social and behavioral theories, and experiential and action-based learning have been used in learning systems, the lower numbers of such studies indicate that gaps remain in the adaptation, integration, and evaluation of educational theories with these technologies. The study identified SDG4.4 as the most researched target for equipping students with essential skills for the modern workforce through immersive, practical experience. Key implications for practice and policy include integrating learning theories with emerging technologies, advancing SDG4 outcomes, and enhancing professional development and educational equity. This highlights the incorporation of generative AI to further personalize learning experiences and the metaverse to facilitate collaborative environments.

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Data availability

The PRISMA flow chart is available as a supplementary file. The final dataset derived from the PRISMA process is included as a dataset.

References

  • Abichandani P, Sivakumar V, Lobo D, Iaboni C, Shekhar P (2022) Internet-of-things curriculum, pedagogy, and assessment for STEM education: a review of literature. IEEE Access 10. https://doi.org/10.1109/ACCESS.2022.3164709

  • Abidin Z, Arifudin R, Hardyanto W, Akhlis I, Umer R, Kurniawan N (2021) Low-cost educational robotics for promoting STEM education. J Phys Conf Ser 1918(4). https://doi.org/10.1088/1742-6596/1918/4/042018

  • Achuthan K, Kolil VK, Muthupalani S, Raman R (2024) Transactional distance theory in distance learning: past, current, and future research trends. Contemp Educ Technol 16(1):ep493. https://doi.org/10.30935/cedtech/14131

    Google Scholar 

  • Achuthan K, Ramanathan S, Raman R (2025) Exploring metaverse technologies in entrepreneurship through machine learning based topic modeling. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3567622

  • Acker J, Rogers I, Guerra-Zubiaga D, Tanveer MH, Moghadam AAA (2023) Low-cost digital twin approach and tools to support industry and academia: a case study connecting high-schools with high degree education. Machines 11(9):860. https://doi.org/10.3390/machines11090860

    Google Scholar 

  • Ajayi J, Adetiba E, Ifijeh AH, Abayomi A, Wejin JS, Thakur SC, Moyo S (2024) LogicHouse-v1: a digital game-based learning tool for enhanced teaching of digital electronics in higher education institutions. Cogent Eng. https://doi.org/10.1080/23311916.2024.2322814

  • Alam A (2022) Educational robotics and computer programming in early childhood education: a conceptual framework for assessing elementary school students’ computational thinking for designing powerful educational scenarios. In: 1st IEEE International conference on smart technologies and systems for next generation computing, ICSTSN 2022. https://doi.org/10.1109/ICSTSN53084.2022.9761354

  • Al-Azawi R, Albadi A, Moghaddas R, Westlake J (2019) Exploring the potential of using augmented reality and virtual reality for STEM education. Commun Comput Inf Sci 1011. https://doi.org/10.1007/978-3-030-20798-4_4

  • AlGerafi MAM, Zhou Y, Oubibi M, Wijaya TT (2023) Unlocking the potential: a comprehensive evaluation of augmented reality and virtual reality in education. Electronics 12(18). https://doi.org/10.3390/electronics12183953

  • Alhashem F, Pacheco-Guffrey H, Boivin JA (2023) STEM education challenges in the MENA region. https://doi.org/10.4018/978-1-6684-6883-8

  • Alsoliman BSH (2022) Virtual robotics in education: the experience of eighth grade students in STEM. Front Educ 7. https://doi.org/10.3389/feduc.2022.950766

  • Ateş H, Gündüzalp C (2023) A unifi ed framework forunderstanding teachers’ adoption of robotics in STEM education. Educ. inf. technol. https://doi.org/10.1007/s10639-023-12382-4

  • Ananthram S, Bawa S, Bennett D, Gill C (2024) Perceived employability and career readiness among STEM students: does gender matter?. High Educ Res Dev 43(2):267–283. https://doi.org/10.1080/07294360.2023.2240710

    Google Scholar 

  • Andruseac GG, Adochiei RI, PǍsǍricǍ A, Adochiei FC, CorciovǍ C, Costin H (2016) Training program for dyslexic children using educational robotics. In: 2015 E-health and bioengineering conference, EHB 2015. https://doi.org/10.1109/EHB.2015.7391547

  • Archila PA, Restrepo S, Truscott de Mejía A et al. (2024) STEM and non-STEM misconceptions about evolution: findings from 5 years of data. Sci Educ 33:1211–1229. https://doi.org/10.1007/s11191-023-00428-5

    Google Scholar 

  • Arlinwibowo J, Retnawati H, Kartowagiran B (2021) Item response theory utilization for developing the student collaboration ability assessment scale in STEM classes. Ing Syst d’Inf 26(4). https://doi.org/10.18280/ISI.260409

  • Bailey D, Kornegay M, Partlow L, Bowens C, Gareis, K, Kornegay K (2023) Utilizing culturally responsive strategies to inspire African American female participation in cybersecurity. J Pre-Coll Eng Educ Res 13(2). https://doi.org/10.7771/2157-9288.1412

  • Battey D, Kafai Y, Nixon AS, Kao L (2007) Professional development for teachers on gender equity in the sciences: initiating the conversation. Teach Coll Rec 109(1):221–243. https://doi.org/10.1177/016146810710900108

    Google Scholar 

  • Benita F, Virupaksha D, Wilhelm E et al. (2021) A smart learning ecosystem design for delivering Data-driven Thinking in STEM education. Smart Learn Environ 8: 11. https://doi.org/10.1186/s40561-021-00153-y

    Google Scholar 

  • Bezuidenhout HS (2021) An early grade science, technology, engineering and mathematics dialogue reading programme: the development of a conceptual framework. S Afr J Child Educ. https://doi.org/10.4102/sajce.v11i1.1038

  • Boltsi A, Kalovrektis K, Xenakis A, Chatzimisios P, Chaikalis C (2024) Digital tools, technologies, and learning methodologies for education 4.0 frameworks: a STEM oriented survey. IEEE Access 12. https://doi.org/10.1109/ACCESS.2024.3355282

  • Botha-Badenhorst D, Veerasamy N (2023) Examining barriers to entry: disparate gender representation in cybersecurity within Sub-Saharan Africa. In: Proceedings of the international conference on gender research, 2023-April. https://doi.org/10.34190/icgr.6.1.1148

  • Budiyanto CW, Fenyvesi K, Lathifah A, Yuana RA (2022) Computational thinking development: benefiting from educational robotics in STEM teaching. Eur J Educ Res 11(4). https://doi.org/10.12973/eu-jer.11.4.1997

  • Bybee RW (2010) What is STEM education? Science 329(5995). https://doi.org/10.1126/science.1194998

  • Campos E, Hidrogo I, Zavala G (2022) Impact of virtual reality use on the teaching and learning of vectors. Front Educ. https://doi.org/10.3389/feduc.2022.965640

  • Cantlon JF, Becker KT, DeLong CM (2024) Computational thinking during a short, authentic, interdisciplinary STEM experience for elementary students. J STEM Educ Res 7(3):425–443. https://doi.org/10.1007/s41979-024-00117-0

    Google Scholar 

  • Casey E, Jocz JA, Peterson KA, Pfeif D, Soden C (2023) Motivating youth to learn STEM through a gender inclusive digital forensic science program. Smart Learn Environ 10: 2. https://doi.org/10.1186/s40561-022-00213-x

    Google Scholar 

  • Cecil J, Ramanathan P, Mwavita M (2013) Virtual learning environments in engineering and STEM education. In: Proceedings—frontiers in education conference, FIE. https://doi.org/10.1109/FIE.2013.6684874

  • Cecil J, Sweet-Darter M, Cecil-Xavier A, Gunta A (2021) Role of affordance, visual density and other HCC criteria in designing virtual learning environments to support STEM learning for autistic students. In: Proceedings—frontiers in education conference, FIE, 2021-October. https://doi.org/10.1109/FIE49875.2021.9637130

  • Çetin M, Demircan HÖ (2020) Empowering technology and engineering for STEM education through programming robots: a systematic literature review. Early Child Dev Care 190(9). https://doi.org/10.1080/03004430.2018.1534844

  • Chalaki B, Beaver LE, Mahbub AMI, Bang H, Malikopoulos AA (2022) A research and educational robotic testbed for real-time control of emerging mobility systems: from theory to scaled experiments. IEEE Control Syst 42(6). https://doi.org/10.1109/MCS.2022.3209056

  • Chandrika KR, Amudha J (2025) Learner stimulus intent: a framework for eye tracking data collection and feature extraction in computer programming education. Sci Rep 15(1):11860. https://doi.org/10.1038/s41598-025-88172-4

    Google Scholar 

  • Chang CC, Chen Y (2022) Using mastery learning theory to develop task-centered hands-on STEM learning of Arduino-based educational robotics: psychomotor performance and perception by a convergent parallel mixed method. Interact Learn Environ. https://doi.org/10.1080/10494820.2020.1741400

  • Chen R, Zheng Y, Xu X, Zhao H, Ren J, Tan HZ (2020) STEM teaching for the Internet of Things maker course: a teaching model based on the iterative loop. Sustainability 12(14):5758. https://doi.org/10.3390/su12145758

    Google Scholar 

  • Chen X, Cheng G, Zou D, Zhong B, Xie H (2023) Artificial intelligent robots for precision education: a topic modelling-based bibliometric analysis. Educ Technol Soc 26(1):171–186. https://doi.org/10.30191/ETS.202301_26(1).0013

    Google Scholar 

  • Chen TI, Lin SK, Chung HC (2023) Gamified educational robots lead an increase in motivation and creativity in stem education. J Balt Sci Educ 22(3). https://doi.org/10.33225/jbse/23.22.427

  • Cheryan S, Lombard EJ, Hailu F, Pham LN, Weltzien K (2025) Global patterns of gender disparities in STEM and explanations for their persistence. Nat Rev Psychol 4(1):6–19. https://doi.org/10.1038/s44159-024-00380-3

    Google Scholar 

  • Chiang FK, Tang Z, Zhu D, Bao X (2024) Gender disparity in STEM education: a survey research on girl participants in World Robot Olympiad. Int J Technol Des Educ 34(2):629–646. https://doi.org/10.1007/s10798-023-09830-0

    Google Scholar 

  • Chiang T (2021) Estimating the artificial intelligence learning efficiency for civil engineer education: a case study in Taiwan. Sustainability 13(21). https://doi.org/10.3390/su132111910

  • Chiazzese G, Arrigo M, Chifari A, Lonati V, Tosto C (2019) Educational robotics in primary school: measuring the development of computational thinking skills with the Bebras tasks. Informatics 6(4). https://doi.org/10.3390/informatics6040043

  • Chirikov I, Semenova T, Maloshonok N, Bettinger E, Kizilcec RF (2020) Online education platforms scale college STEM instruction with equivalent learning outcomes at lower cost. Sci Adv 6(15). https://doi.org/10.1126/sciadv.aay5324

  • Christopoulos A, Mystakidis S, Cachafeiro E, Laakso MJ (2023) Escaping the cell: virtual reality escape rooms in biology education. Behav Inf Technol 42(9):1434–1451. https://doi.org/10.1080/0144929X.2022.2079560

    Google Scholar 

  • Christopoulos A, Pellas N, Bin Qushem U, Laakso M-J (2023) Comparing the effectiveness of video and stereoscopic 360° virtual reality-supported instruction in high school biology courses. Br J Educ Technol. Advance online publication. https://doi.org/10.1111/bjet.13306

  • Chun J, Kim J, Lee M, Richard C (2024) Navigating the career development of students with disabilities in science, technology, engineering, and mathematics (STEM). Rehabil Couns Bull. https://doi.org/10.1177/00343552231224778

  • Cornetta G, Touhafi A, Togou MA, Muntean G-M (2020) Fabrication-as-a-service: a web-based solution for STEM education using internet of things. IEEE Internet Things J 7(2):1519–1530. https://doi.org/10.1109/JIOT.2019.2956401

    Google Scholar 

  • Cuthbert D, Sidelil LT (2019) Gender equity instrumentalism and (Re) building the nation through innovation: critical reflections on women in STEM Policy in Australia. In: Gender and the changing face of higher education in Asia Pacific. Springer International Publishing, Cham, pp. 57–71 https://doi.org/10.1007/978-3-030-02795-7_5

  • Darmawansah D, Hwang GJ, Chen MRA, Liang JC (2023) Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model. Int J STEM Educ 10(1). https://doi.org/10.1186/s40594-023-00400-3

  • Delgado A, Rosa A, Etcheverry L, Sosa R, Marzoa M, Bakala E, Rattaro C, Briozzo I (2019) Encouraging girls involvement in Information and Communication Technologies (ICT) careers in Uruguay. CLEI Eletron J (CLEIej), 22(2). https://doi.org/10.19153/cleiej.22.2.4

  • Diwakar S, Kolil VK, Francis SP, Achuthan K (2023) Intrinsic and extrinsic motivation among students for laboratory courses-Assessing the impact of virtual laboratories. Comput Educ 198:104758

    Google Scholar 

  • Dolgopolovas V, Dagienė V (2021) Computational thinking: enhancing STEAM and engineering education, from theory to practice. Comput Appl Eng Educ 29(1). https://doi.org/10.1002/cae.22382

  • Dundar-Coecke S, Yeh L, Puca C, Pfaendler SML, Waseem MH, Cervoni T, Kissinger A, Gogioso S, Coecke B (2023) Quantum picturalism: learning quantum theory in high school. In: Proceedings—2023 IEEE international conference on quantum computing and engineering, QCE 2023, 3. https://doi.org/10.1109/QCE57702.2023.20321

  • Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kar AK, Wright R (2023) Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. Int J Inf Manag 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

    Google Scholar 

  • Dwivedi YK, Hughes L, Baabdullah AM, Ribeiro-Navarrete S, Giannakis M, Al-Debei MM, Dennehy D, Metri B, Buhalis D, Cheung CM, Conboy K, Doyle R, Dubey R, Dutot V, Felix R, Goyal DP, Gustafsson A, Hinsch C, Jebabli I,… & Wamba SF (2022) Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int J Inf Manag 66. https://doi.org/10.1016/j.ijinfomgt.2022.102542

  • Dziatkovskii A, Hryneuski U, Krylova A, Loy ACM (2022) Chronological progress of blockchain in science, technology, engineering and math (STEM): a systematic analysis for emerging future directions. Sustainability 14(19). https://doi.org/10.3390/su141912074

  • Egana-delSol P, Bustelo M, Ripani L, Soler N, Viollaz M (2022) Automation in Latin America: are women at higher risk of losing their jobs? Technol Forecast Soc Chang. https://doi.org/10.1016/j.techfore.2021.121333

  • Egger R, Yu J (2022) A topic modelling comparison between LDA, NMF, Top2Vec, and bertopic to demystify Twitter posts. Front Sociol 7: 886498. https://doi.org/10.3389/fsoc.2022.886498

    Google Scholar 

  • El Said GR (2023) Metaverse-based learning opportunities and challenges: a phenomenological metaverse human–computer interaction study. Electronics 12(6):1379. https://doi.org/10.3390/electronics12061379 Article

    Google Scholar 

  • Elliniadou E, Sofianopoulou C, Tsakalerou M (2025) Do STEM interventions challenge gender stereotypes? A critical examination in students' perceptions. In: 2025 IEEE global engineering education conference (EDUCON). IEEE, pp 1–6. https://doi.org/10.1109/EDUCON62633.2025.11016644

  • European Commission (2021) SDG Mapper. Joint research centre knowledge centre for sustainable development goals. https://knowsdgs.jrc.ec.europa.eu/sdgmapper

  • Felder RM, Brent R (2024) Teaching and learning STEM: a practical guide. John Wiley & Sons

  • Fong AC, Gupta AK, Carr SM, Bhattacharjee S, Harnar, M (2022) A balanced pedagogical approach toward AI readiness education for STEM learners: instilling a balanced view of AI capabilities through active learning in both traditional classroom and self-directed online environments. In: ACM international conference proceeding series. https://doi.org/10.1145/3578837.3578875

  • García-Silva E, Perez-Suarez S, Zavala-Parrales A, Meléndez-Anzures FE, Dominguez A (2025) Continuing education of academic women in STEM: perspectives on mentoring and professional roles. In Frontiers in Education (Vol. 10, p. 1473331). Front Media SA. https://doi.org/10.3389/feduc.2025.1473331

  • Gerosa A, Koleszar V, Tejera G, Gómez-Sena L, Carboni A (2022) Educational robotics intervention to foster computational thinking in preschoolers: effects of children’s task engagement. Front Psychol. https://doi.org/10.3389/fpsyg.2022.904761

  • Goff EE, Mulvey KL, Irvin MJ, Hartstone-Rose A (2018) Applications of augmented reality in informal science learning sites: a review. J Sci Educ Technol 27(5). https://doi.org/10.1007/s10956-018-9734-4

  • Gómez-Carrasco C-J, Monteagudo-Fernández J, Moreno-Vera J-R, Sainz-Gómez M (2019) Effects of a Gamification and Flipped-Classroom Program for Teachers in Training on Motivation and Learning Perception. Educ Sci 9(4):299. https://doi.org/10.3390/educsci9040299

    Google Scholar 

  • Grootendorst M (2022) BERTopic: neural topic modelling with a class-based TF-IDF procedure (arXiv:2203.05794). arXiv. https://doi.org/10.48550/arXiv.2203.05794

  • Guo J, Marsh HW, Parker PD, Dicke T, van Zanden B (2019) Countries, parental occupation, and girls’ interest in science. Lancet 393(10171). https://doi.org/10.1016/S0140-6736(19)30210-7

  • Gutierrez V, Bennett A, Brancazio D, Triantafyllou M (2023) Design of Fluidic Control Board for SeaPerch II. OCEANS 2023—Limerick, OCEANS Limerick 2023. https://doi.org/10.1109/OCEANSLimerick52467.2023.10244543

  • Hamdi Y, Mulder NJ, Abdelhak S (2022) Women in systems science and gender parity: why and how to democratize the “technology, innovation, and society nexus”. OMICS J Integr Biol. https://doi.org/10.1089/omi.2022.0055

  • He J, Lo DCT, Xie Y, Lartigue J (2016) Integrating Internet of Things (IoT) into STEM undergraduate education: case study of a modern technology infused courseware for embedded system course. In: 2016 IEEE frontiers in education conference (FIE). IEEE, pp 1–9. https://doi.org/10.1109/FIE.2016.7757458

  • He, J, Han, M, & Bobbie, PO (2018, September). An energy-efficient secure adaptive Cloud-of-Things (CoT) framework to facilitate undergraduate STEM education. In Proceedings of the 19th Annual SIG Conference on Information Technology Education (pp. 123-128). https://doi.org/10.1145/3241815.3241865

  • Hennessy Elliott C (2020) Run it through me”: positioning, power, and learning on a high school robotics team. J Learn Sci 29(2):178–208. https://doi.org/10.1080/10508406.2020.1770763

    Google Scholar 

  • Holincheck N, Rosenberg JL, Zhang X, Butler TN, Colandene M, Dreyfus BW (2024) Quantum science and technologies in K-12: supporting teachers to integrate quantum in STEM classrooms. Educ Sci 14(3). https://doi.org/10.3390/educsci14030219

  • Holly M, Pirker J, Resch S, Brettschuh S, Gütl C (2021) Designing VR experiences–expectations for teaching and learning in VR. Educ Technol Soc 24(2):107–119

    Google Scholar 

  • Hsu RC, Tsai TH (2022) Assessing the impact of a project-based learning robotics course with integrating of STEM education using content analysis method. Eur J STEM Educ 7(1):9. https://doi.org/10.20897/ejsteme/12633

    Google Scholar 

  • Huang B, Jong MSY, Tu YF, Hwang GJ, Chai CS, Jiang MYC (2022) Trends and exemplary practices of STEM teacher professional development programs in K-12 contexts: A systematic review of empirical studies. Comput Educ 189: 104577. https://doi.org/10.1016/j.compedu.2022.104577

    Google Scholar 

  • Ibáñez MB, Delgado-Kloos C (2018) Augmented reality for STEM learning: a systematic review. Comput Educ 123:109–123. https://doi.org/10.1016/j.compedu.2018.05.002

    Google Scholar 

  • Ioannou A, Makridou E (2018) Exploring the potentials of educational robotics in the development of computational thinking: a summary of current research and practical proposal for future work. Educ Inf Technol 23(6). https://doi.org/10.1007/s10639-018-9729-z

  • Islam N, Jirattikorn A (2024) Gender barriers in STEM in Bangladesh. Dev Pract 34(1):129–135

  • Jajuri T, Hashim S, Ali MN, Abdullah SMS (2019) The implementation of science, technology, engineering and mathematics (STEM) activities and its effect on studentas academic resilience Asia Pac. J. Educ. Educ 34:153–166

    Google Scholar 

  • Johnson-Glenberg MC (2018) Immersive VR and education: embodied design principles that include gesture and hand controls. Front Robot AI 5:81. https://doi.org/10.3389/frobt.2018.00081

    Google Scholar 

  • Johnson-Glenberg MC, Ly V, Su M, Zavala RN, Bartolomeo H, Kalina E (2020) Embodied agentic STEM education: effects of 3D VR compared to 2D PC. In: Proceedings of 6th international conference of the immersive learning research network, ILRN 2020. https://doi.org/10.23919/iLRN47897.2020.9155155

  • Kapp S, Lauer F, Beil F, Rheinländer CC, Wehn N, Kuhn J (2022) Smart sensors for augmented electrical experiments. Sensors 22(1):256. https://doi.org/10.3390/s22010256

    Google Scholar 

  • Kapp S, Thees M, Strzys MP, Beil F, Kuhn J, Amiraslanov O, Javaheri H, Lukowicz P, Lauer F, Rheinländer C, Wehn N (2019) Augmenting Kirchhoff’s laws: using augmented reality and smartglasses to enhance conceptual electrical experiments for high school students. Phys Teach 57(1). https://doi.org/10.1119/1.5084931

  • Kaufhold N, Steinert J (2024) Work in progress: Expanding learning opportunities in STEM courses: the potential of haptic VR laboratories for students with and without visual impairment. In: Lecture Notes in Networks and Systems. Springer. https://doi.org/10.1007/978-3-031-52667-1_16

  • Kaviyaraj R, Uma M (2022) Augmented reality application in classroom: an immersive taxonomy. In: Proceedings—4th international conference on smart systems and inventive technology, ICSSIT 2022. https://doi.org/10.1109/ICSSIT53264.2022.9716325

  • Keller L, John I (2020) Motivating female students for computer science by means of robot workshops. Int J Eng Pedagog 10(1). https://doi.org/10.3991/ijep.v10i1.11661

  • Kewalramani S, Palaiologou I, Dardanou M (2020) Children’s engineering design thinking processes: the magic of the ROBOTS and the power of BLOCKS (electronics). Eurasia J Math Sci Technol Educ 16(3):em1830. https://doi.org/10.29333/ejmste/113247

    Google Scholar 

  • Klimaitis CC, Mullen CA (2021) Access and barriers to science, technology, engineering, and mathematics (STEM) education for K–12 students with disabilities and females. In: Handbook of social justice interventions in education, pp 813–836. https://doi.org/10.1007/978-3-030-35858-7_125

  • Klingenberg S, Fischer R, Zettler I, Makransky G (2023) Facilitating learning in immersive virtual reality: Segmentation, summarizing, both or none?. J Comput Assist Learn 39(1):218–230. https://doi.org/10.1111/jcal.12741

    Google Scholar 

  • Kolil VK, Achuthan K (2024) Virtual labs in chemistry education: a novel approach for increasing student’s laboratory educational consciousness and skills. Educ Inf Technol 29(18):25307–25331

    Google Scholar 

  • Kusmin M (2019) Co-designing the kits of iot devices for inquiry-based learning in STEM. Technologies 7(1). https://doi.org/10.3390/technologies7010016

  • Lancheros-Cuesta DJ, Fabregat R (2022) Educational robotics intervention in the motivation of students. Rev Iberoam Tecnol Aprendiz. https://doi.org/10.1109/RITA.2022.3166856

  • Lara-Prieto V, Rodriguez-Rosales A, Martinez-Torteya C, Acevedo J (2024) Examining the infl uence of gender equity initiatives on STEM student demographics. In 22nd LACCEI International Multi-Conference for Engineering, Education, and Technology: Sustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0 (San José, Costa Rica, July 17–19, 2024). https://doi.org/10.18687/LACCEI2024.1.1.1888

  • Leal Filho W, Kovaleva M, Tsani S, Țîrcă DM, Shiel C, Dinis MAP, Nicolau M, Sima M, Fritzen B, Lange Salvia A, Minhas A, Kozlova V, Doni F, Spiteri J, Gupta T, Wakunuma K, Sharma M, Barbir J, Shulla K, Bhandari MP, Tripathi S (2023) Promoting gender equality across the sustainable development goals. Environ Dev Sustain 25(12):14177–14198. https://doi.org/10.1007/s10668-022-02656-1

    Google Scholar 

  • Lee I, Perret B (2022) Preparing high school teachers to integrate AI methods into STEM classrooms. In: Proceedings of the 36th AAAI conference on artificial intelligence, AAAI 2022, 36. https://doi.org/10.1609/aaai.v36i11.21557

  • Lehmann H, Rossi PG (2019) Social robots in educational contexts: developing an application in enactive didactics. J e-Learn knowl Soc 15(2). https://doi.org/10.20368/1971-8829/1633

  • Leshner AI (2018) Student-centered, modernized graduate STEM education. Science 360(6392). https://doi.org/10.1126/science.aau0590

  • Li K, Zheng X, Ni C (2025) Gender disparities in the STEM research enterprise in China. Humanit Soc Sci Commun 12(1):1–11. https://doi.org/10.1057/s41599-025-05028-y

    Google Scholar 

  • Li X, Zaki R (2024) Harnessing the power of digital resources in mathematics education: the potential of augmented reality and artificial intelligence. In: EAI/Springer innovations in communication and computing. Vol. Part F2195. https://doi.org/10.1007/978-3-031-50139-5_10

  • LiCausi TJ, McFarland DA (2022) Abstract(s) at the core: a case study of disciplinary identity in the field of linguistics. High Educ 84(5):955–978. https://doi.org/10.1007/s10734-021-00810-8

    Google Scholar 

  • Lin CH, Yu CC, Shih PK, Wu LY (2021) STEM based artificial intelligence learning in general education for non-engineering undergraduate students. Educ Technol Soc 24(3):224–237

    Google Scholar 

  • Lockhart ME, Kwok OM, Yoon M, Wong R (2022) An important component to investigating STEM persistence: the development and validation of the science identity (SciID) scale. Int J STEM Educ 9(1):34. https://doi.org/10.1186/s40594-022-00351-1

    Google Scholar 

  • López-Iñesta E, Botella C, Rueda S, Marzal P (2020) Breaking the gender gap in STEM. Rev Iberoam Tecnol Aprendiz 15:233–241

  • Loyalka P, Liu OL, Li G et al. (2021) Skill levels and gains in university STEM education in China, India, Russia and the United States. Nat Hum Behav 5:892–904. https://doi.org/10.1038/s41562-021-01062-3

    Google Scholar 

  • Ludwig CM, Howsmon RA, Stromholt S et al. (2024) Consequential insights for advancing informal STEM learning and outcomes for students from historically marginalized communities. Humanit Soc Sci Commun 11:351. https://doi.org/10.1057/s41599-024-02797-w

    Google Scholar 

  • Manduca CA, Iverson ER, Luxenberg M, Macdonald RH, McConnell DA, Mogk DW, Tewksbury BJ (2017) Improving undergraduate STEM education: the efficacy of discipline-based professional development. Sci Adv 3(2):e1600193. https://doi.org/10.1126/sciadv.1600193

    Google Scholar 

  • Mangina E, Psyrra G, Screpanti L, Scaradozzi D (2024) Robotics in the context of primary and preschool education: a scoping review. IEEE Trans Learn Technol 17. https://doi.org/10.1109/TLT.2023.3266631

  • Manikutty G, Venugopal A, Prabha P, Unnithan MS, A PA, B RR (2024) Experiential learning in K–12 schools through social innovation projects (STEM education). IEEE Potentials 43(4):14–20. https://doi.org/10.1109/MPOT.2024.3412390

    Google Scholar 

  • Margot KC, Kettler T (2019) Teachers’ perception of STEM integration and education: a systematic literature review. Int J STEM Educ 6(1). https://doi.org/10.1186/s40594-018-0151-2

  • Marouani H (2022) Exploration of applying Lego NXT and Arduino in situated engineering teaching: a case study of a robotics contest at King Saud University. Int J Robot Control Syst 2(1). https://doi.org/10.31763/ijrcs.v2i1.508

  • McDonald AR, Roberts RA, Koeppe JR, Hall BL (2022) Undergraduate structural biology education: a shift from users to developers of computation and simulation tools. Curr Opin Struct Biol 72:39–45. https://doi.org/10.1016/j.sbi.2021.07.012

    Google Scholar 

  • MD S, Krishnamoorthy S (2022) Student performance prediction, risk analysis, and feedback based on context-bound cognitive skill scores. Educ Inf Technol 27(3):3981–4005. https://doi.org/10.1007/s10639-021-10738-2

    Google Scholar 

  • MD S, Krishnamoorthy S (2025) Knowledge graphs for representing knowledge progression of students across heterogeneous learning systems. Int J Artif Intell Educ 1–29. https://doi.org/10.1007/s40593-024-00434-w

  • Miles R, Annetta L, Moore S, Miles G (2022) Teaching multicultural science education to underserved and underrepresented populations in rural areas. In: International handbook of research on multicultural science education. Springer International Publishing, Cham, pp 457–486

  • Min B, Alam F, Zhao W et al. (2024) Crafting a framework: a Delphi method approach to formulating a maker literacy assessment model for primary school students in China. Humanit Soc Sci Commun 11:453. https://doi.org/10.1057/s41599-024-02964-z

    Google Scholar 

  • Moon S, Carpenter SL, Hansen AK, Bushong L, Bianchini JA (2021) Examining the effects of undergraduate STEM teacher recruitment and teacher education programs on preservice secondary science and mathematics teacher readiness and teacher performance assessment (edTPA) scores. Sch Sci Math 121(8). https://doi.org/10.1111/ssm.12498

  • Nasri N, Rahimi NM, Nasri NM, Talib MAA (2021) A comparison study between universal design for learning-multiple intelligence (Udl-mi) oriented stem program and traditional stem program for inclusive education Sustainability 13(2):554

    Google Scholar 

  • Nagpal N, Rahmawati Y, Mardiah A (2023) Integrating Augmented Reality (AR) and Virtual Reality (VR) in transformation of teaching and learning pedagogy in education 4.0. In: Architecture and technological advancements of education 4.0. https://doi.org/10.4018/978-1-6684-9285-7.ch009

  • Naik MD, Jayaraman S (2024). Cross-language code mapping. in intelligent informatics: Proceedings of eighth international symposium on intelligent informatics (ISI 2023, vol 389. Springer Nature, p 439

  • Nedungadi P, Raman R (2012) A new approach to personalization: integrating e-learning and m-learning. Educ Technol Res Dev 60(4):659–678. https://doi.org/10.1007/s11423-012-9250-9

    Google Scholar 

  • Nedungadi P, Tang K-Y, Raman R (2024) The transformative power of generative artificial intelligence for achieving the sustainable development goal of quality education. Sustainability 16(22):9779. https://doi.org/10.3390/su16229779

    Google Scholar 

  • Nedungadi P, Lathabai HH, Raman R (2025) Large language models in biomedicine and health: a holistic evaluation of the effectiveness, reliability and ethics using altmetrics. J Scientometr Res 14(1):46–61. https://doi.org/10.5530/jscires.20251166

    Google Scholar 

  • Nedungadi P, Ramesh M, Govindaraju V, Rao B, Berbeglia P, Raman R (2024) Emerging leaders or persistent gaps? Generative AI research may foster women in STEM. Int J Inf Manag 77: 102785. https://doi.org/10.1016/j.ijinfomgt.2024.102785

    Google Scholar 

  • Ntemngwa C, Oliver JS (2018) The implementation of integrated science technology, engineering and mathematics (STEM) instruction using robotics in the middle school science classroom. Int J Educ Math Sci Technol 6(1). https://doi.org/10.18404/ijemst.380617

  • Ortiz-Rojas M, Chiluiza K, Valcke M, Bolanos-Mendoza C (2025) How gamification boosts learning in STEM higher education: a mixed methods study. Int J STEM Educ 12(1):1. https://doi.org/10.1186/s40594-024-00521-3

    Google Scholar 

  • Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev 10(1):89. https://doi.org/10.1186/s13643-021-01626-4

    Google Scholar 

  • Parada-Contzen M, Jara F (2025) Gender wage gap among the educated: evidence from fields of study in Chile. Humanit Soc Sci Commun 12(1):1–10. https://doi.org/10.1057/s41599-025-05312-x

    Google Scholar 

  • Parvathy R, Thushara MG, Kannimoola JM (2025) Automated code assessment and feedback: a comprehensive model for improved programming education. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3554838

  • Pellas N, Dengel A, Christopoulos A (2020) A scoping review of immersive virtual reality in STEM education. IEEE Trans Learn Technol 13(4). https://doi.org/10.1109/TLT.2020.3019405

  • Pellas N, Kazanidis I, Konstantinou N, Georgiou G (2017) Exploring the educational potential of three-dimensional multiuser virtual worlds for STEM education: a mixed-method systematic literature review. Educ Inf Technol 22(5). https://doi.org/10.1007/s10639-016-9537-2

  • Peng H, Teplitskiy M, Romero DM, Horvát EÁ (2025) The gender gap in scholarly self-promotion on social media. Nat Commun 16(1):5552. https://doi.org/10.1038/s41467-025-60590-y

    Google Scholar 

  • Petrov PD, Atanasova TV (2020) The Effect of augmented reality on students’ learning performance in stem education. Information 11(4). https://doi.org/10.3390/INFO11040209

  • Petrović VM, Kovačević BD (2022) AViLab—Gamified virtual educational tool for introduction to agent theory fundamentals. Electronics 11(3):344. https://doi.org/10.3390/electronics11030344

    Google Scholar 

  • Pinneo L, Nolen A (2024) Parent involvement and student academic motivation towards science in 9th grade. Humanit Soc Sci Commun 11:273. https://doi.org/10.1057/s41599-024-02707-0

    Google Scholar 

  • Prema D, Dhand R (2019) Inclusion and accessibility in STEM education: navigating the duty to accommodate and disability rights. Can J Disabil Stud 8(3):121–141. https://doi.org/10.15353/cjds.v8i3.510

    Google Scholar 

  • Quesada-Real FJ, Pérez-Peña F, Morgado-Estévez A, Ruiz-Lendínez JJ (2023) Applying active learning by contextualizing robotic applications to historical heritage. Comput Appl Eng Educ. https://doi.org/10.1002/cae.22687

  • Rahman H, Wahid SA, Ahmad F, Ali N (2024) Game-based learning in metaverse: virtual chemistry classroom for chemical bonding for remote education. Educ Inf Technol. https://doi.org/10.1007/s10639-024-12575-5

  • Raman R, Kowalski R, Achuthan K et al. (2025) Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired pathways. Sci Rep 15: 8443. https://doi.org/10.1038/s41598-025-92190-7

    Google Scholar 

  • Raman R, Achuthan K, Nair VK, Nedungadi P (2022) Virtual laboratories—a historical review and bibliometric analysis of the past three decades. Educ Inf Technol 27(8):11055–11087. https://doi.org/10.1007/s10639-022-11058-9

    Google Scholar 

  • Raman R, Ustenko V, Filho WL, Nedungadi P (2025) Energy justice and gender: bridging equity, access, and policy for sustainable development. Discov Sustain 6(1):558. https://doi.org/10.1007/s43621-025-01375-7

    Google Scholar 

  • Raman R, B S, G V, Vachharajani H, Nedungadi P (2021) Adoption of online proctored examinations by university students during COVID-19: Innovation diffusion study. Educ Inf Technol 26(6):7339–7358. https://doi.org/10.1007/s10639-021-10581-5

    Google Scholar 

  • Raman R, Lathabhai H, Pattnaik D, Kumar C, Nedungadi P (2024) Research contribution of bibliometric studies related to sustainable development goals and sustainability. Discov Sustain 5(1):7. https://doi.org/10.1007/s43621-024-00182-w

    Google Scholar 

  • Raman R, Mandal S, Das P, Kaur T, Sanjanasri JP, Nedungadi P (2024) Exploring university students’ adoption of ChatGPT using the diffusion of innovation theory and sentiment analysis with gender dimension. Hum Behav Emerg Technol 2024(1):3085910. https://doi.org/10.1155/2024/3085910

    Google Scholar 

  • Raman R, Nair VK, Shivdas A, Bhukya R, Viswanathan PK, Subramaniam N, Nedungadi P (2023) Mapping sustainability reporting research with the UN's sustainable development goal. Heliyon 9(8). https://doi.org/10.1016/j.heliyon.2023.e18510

  • Riabov VV (2020) Exploring mathematical and computational concepts for STEM education in colleges. Int J Technol, Knowl Soc 16(2):43–57. https://doi.org/10.18848/1832-3669/CGP/v16i04/1-22

    Google Scholar 

  • Ro HK, Fernandez F, Ramon EJ (2021) Gender equity in STEM in higher education: international perspectives on policy, institutional culture, and individual choice, 1 edn. Taylor & Francis. https://doi.org/10.4324/9781003053217

  • Samala AD, Rawas S, Wang T et al. (2025) Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects. Educ Inf Technol 30:3239–3278. https://doi.org/10.1007/s10639-024-12936-0

    Google Scholar 

  • Samala AD, Rawas S, Wang T, Reed JM, Kim J, Howard NJ, Ertz M (2024) Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects. Educ Inf Technol 1–40. https://doi.org/10.1007/s10639-024-12936-0

  • Screpanti L, Scaradozzi D, Gulesin RN, Ciuccoli N (2022) Control engineering and robotics since primary school: An infrastructure for creating the digital twin model of the learning class. IFAC-PapersOnLine 55(17):267–272. https://doi.org/10.1016/j.ifacol.2022.09.290

    Google Scholar 

  • Sergeyev A, Kinney M, Kuhl S, Alaraje N, Highum M, Mehandiratta P (2019) University, community college and industry partnership: Revamping robotics education to meet 21st century workforce needs – nsf sponsored project final report. J Eng Technol 36(2). https://doi.org/10.18260/1-2-33487

  • Shah SM, Elliott C, Nedungadi P (2024) Square pegs and round holes: pedagogy for autistic students in computing education. IEEE Trans Educ 67(6):919–930. https://doi.org/10.1109/TE.2023.3335395

    Google Scholar 

  • Shankar SK, Pothancheri G, Sasi D, Mishra S (2025) Bringing teachers in the loop: exploring perspectives on integrating generative AI in technology-enhanced learning. Int J Artif Intell Educ 35:155–180. https://doi.org/10.1007/s40593-024-00428-8

    Google Scholar 

  • Sırakaya M, Alsancak Sırakaya D (2022) Augmented reality in STEM education: a systematic review. Interact Learn Environ 30(8):1556–1569. https://doi.org/10.1080/10494820.2020.1722713

    Google Scholar 

  • Solanes JE, Montava-Jordà S, Golf-Laville E, Colomer-Romero V, Gracia L, Munoz A (2023) Enhancing STEM education through interactive metaverses: a case study and methodological framework. Appl Sci 13(19):10785. https://doi.org/10.3390/app131910785

    Google Scholar 

  • Strzys MP, Thees M, Kapp S, Knierim P, Schmidt A, Lukowicz P, Kuhn J (2019) Smartglasses as assistive tools for undergraduate and introductory STEM laboratory courses. In Perspectives on Wearable Enhanced Learning (WELL) Current Trends, Research, and Practice. Springer International Publishing, Cham, pp 35–58. https://doi.org/10.1007/978-3-319-64301-4_2

  • Sullivan A, Bers MU (2019).VEX Robotics Competitions: gender differences in student attitudes and experiences. J Inf Technol Educ Res 18. https://doi.org/10.28945/4193

  • Swaminathan J, Kavitha KR, Sibin B, Raman R, Nedungadi P (2025) A multi-aspect visualization framework for advancing STEM pedagogy and SDG4: digital India's computer science OLabs. SN Comput Sci 6(3):284. https://doi.org/10.1007/s42979-025-03735-6

    Google Scholar 

  • Tan AL, Ong YS, Ng YS, Tan JHJ (2023) STEM problem solving: inquiry, concepts, and reasoning. Sci Educ 32(2):381–397. https://doi.org/10.1007/s11191-021-00310-2

    Google Scholar 

  • Tanik UJ, Arkun-Kocadere S (2014) Cyber-physical systems and STEM development: NASA digital astronaut project. In U. J. Tanik (Ed.), Applied cyber-physical systems (pp. 55–68). Springer

  • Taylor HA, Burte H, Renshaw KT (2023) Connecting spatial thinking to STEM learning through visualizations. Nat Rev Psychol 2(10):637–653. https://doi.org/10.1038/s44159-023-00224-6

    Google Scholar 

  • Turner S, Hinderliter A, Khan A (2022) Networking andcomputing: Creating opportunities for low-income students to succeed in computing careers. In Proc. of the 2022 International Conference on Computational Science and Computational Intelligence (CSCI 2022) (pp. xxx–xxx).Institute of Electrical and Electronics Engineers (IEEE)

  • Thompson MM, Wang A, Roy D, Klopfer E (2018) Authenticity, interactivity, and collaboration in VR learning games. Front Robot AI 5:133. https://doi.org/10.3389/frobt.2018.00133

    Google Scholar 

  • Tsakalerou M, Perveen A, Ayapbergenov A, Rysbekova A (2024) The role of environment on women’s perception about their STEM studies: observations from a Global South country. Sci Rep 14(1):228. https://doi.org/10.1038/s41598-023-50571-w

    Google Scholar 

  • Üçgül M, Altıok S (2022) You are an astroneer: the effects of robotics camps on secondary school students’ perceptions and attitudes towards STEM. Int J Technol Des Educ 32(3):1679–1699. https://doi.org/10.1007/s10798-021-09673-7

    Google Scholar 

  • Vasconcelos MAR, Dos Santos RP (2023) Enhancing STEM learning with ChatGPT and Bing Chat as objects to think with: a case study. Eurasia J Math Sci Technol Educ. https://doi.org/10.29333/ejmste/13313

  • Vygotsky LS (1978) Mind in society: the development of higher psychological processes, vol 86. Harvard university press

  • Wang X, Dourado ADP, Thomas PB, Bego CR (2022) Modeling engineering persistence through expectancy value theory and machine learning techniques. In: 2022 IEEE frontiers in education conference (FIE). IEEE, pp 1–9. https://doi.org/10.1109/FIE56618.2022.9962581

  • Wu T, Zhang SH (2023) Applications and implication of generative AI in non-STEM disciplines in higher education. In: International conference on AI-generated content. Springer Nature Singapore, Singapore, pp 341–349. https://doi.org/10.1007/978-981-99-7587-7_29

  • Wusylko C, Xu Z, Dawson KM, Antonenko PD, Koh DH, Lee M, Benedict AE, Bhunia S (2022) Using a comic book to engage students in a cryptology and cybersecurity curriculum. J Res Technol Educ 56(4):373–391. https://doi.org/10.1080/15391523.2022.2150726

    Google Scholar 

  • Xia X, Qi W (2024) Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach. Humanit Soc Sci Commun 11(1):1–19. https://doi.org/10.1057/s41599-024-02882-0

    Google Scholar 

  • Xu E, Wang W, Wang Q (2023) The effectiveness of collaborative problem solving in promoting students’ critical thinking: a meta-analysis based on empirical literature. Humanit Soc Sci Commun 10(1):1–11. https://doi.org/10.1057/s41599-023-01508-1

    Google Scholar 

  • Xu W, Ouyang F (2022) The application of AI technologies in STEM education: a systematic review from 2011 to 2021. Int J STEM Educ 9(1):59. https://doi.org/10.1186/s40594-022-00377-5

  • Xu L, Sun J, van Driel J, Hobbs L, Millar V, Kewalramani S, Richards G, Aranda G (2025) A conceptual framework for fostering gender equity in early years STEM education. Int J Sci Math Educ 1–23. https://doi.org/10.1007/s10763-025-10553-y

  • Yabas D, Kurutas BS, Corlu MS (2022) Empowering girls in STEM: Impact of the girls meet science project. Sch Sci Math 122(5):247–258. https://doi.org/10.1111/ssm.12540

    Google Scholar 

  • Yang W (2022) Artificial Intelligence education for young children: why, what, and how in curriculum design and implementation. Comput Educ Artif Intell 3: 100061. https://doi.org/10.1016/j.caeai.2022.100061

  • Yoel SR, Shwartz Asher D, Schohet M, Dori YJ (2020) The effect of the FIRST Robotics program on its graduates Robotics 9(4):84

    Google Scholar 

  • Yoel SR, Dori YJ (2022) FIRST high-school students and FIRST graduates: STEM exposure and career choices. IEEE Trans Educ 65(2):167–176. https://doi.org/10.1109/TE.2021.3104268

  • Yoel S, Dori YJ (2023) Interpersonal skills and STEM career choice of three types of FIRST mentors J. Eng. Educ 112(4):987–1011

    Google Scholar 

  • Yu CC, Wu Y (2021) Early warning system for online stem learning—a slimmer approach using recurrent neural networks. Sustainability 13(22):12461. https://doi.org/10.3390/su132212461

    Google Scholar 

  • Yu W, He J, Luo J, Shu X (2024) Interventions for gender equality in STEM education: a meta-analysis. J Comput Assist Learn 40(6):2558–2573. https://doi.org/10.1111/jcal.12928

    Google Scholar 

  • Zainal NFA, Din R, Abd Majid NA, Nasrudin MF, Abd Rahman AH (2018) Primary and secondary school students perspective on Kolb-based STEM module and robotic prototype. Int J Adv Sci, Eng Inf Technol 8(4-2):1394–1401. https://doi.org/10.18517/ijaseit.8.4-2.6794

    Google Scholar 

  • Zárate-Navarro MA, Schiavone-Valdez SD, Cuevas JE, Warren-Vega WM, Campos-Rodríguez A, Romero-Cano LA (2024) STEM activities for heat transfer learning: Integrating simulation, mathematical modeling, and experimental validation in transport phenomena education. Educ Chem Eng 49:81–90. https://doi.org/10.1016/j.ece.2024.06.004

    Google Scholar 

  • Zawacki-Richter O, Marín VI, Bond M, Gouverneur F (2019) Systematic review of research on artificial intelligence applications in higher education–where are the educators?. Int J Educ Technol High Educ 16(1):1–27. https://doi.org/10.1186/s41239-019-0171-0

    Google Scholar 

  • Zhan Z, Niu S (2023) Subject integration and theme evolution of STEM education in K-12 and higher education research. Humanit Soc Sci Commun 10(1):1–13. https://doi.org/10.1057/s41599-023-02303-8

    Google Scholar 

  • Zhang J, Qiu F, Wu W, Wang J, Li R, Guan M, Huang J (2023) E-learning behavior categories and influencing factors of stem courses: A case study of the open university learning analysis dataset (OULAD). Sustainability 15(10):8235. https://doi.org/10.3390/su15108235

    Google Scholar 

  • Zhong B, Zheng J, Zhan Z (2020) An exploration of combining virtual and physical robots in robotics education. Interact Learn Environ 31(1):370–382. https://doi.org/10.1080/10494820.2020.1786409

    Google Scholar 

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Acknowledgements

The authors from Amrita University express their profound gratitude to Sri Mata Amritanandamayi Devi, humanitarian leader and Chancellor of Amrita Vishwa Vidyapeetham, for her visionary guidance. There is no external grant associated with this research.

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Authors and Affiliations

  1. Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India

    Prema Nedungadi, M. G. Thushara & G. Veena

  2. Graduate Institute of Library and Information Science, National Chung Hsing University, Taichung City, Taiwan, ROC

    Kai-Yu Tang

  3. Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India

    Raghu Raman

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Contributions

PN and RR conceptualized the study. PN and RR carried out the data collection, analysis, and visualization. PN, MT, GV, KT, and RR wrote and revised the manuscript and approved the final manuscript.

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Supplementary information

PRISMA Flow Chart (download DOCX )

Dataset after PRISMA (download XLSX )

Appendix

Appendix

Table 1, 2 and 3

Table 1 Topic wise articles on Emerging Technologies.
Full size table
Table 2 Learning Theory Articles.
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Table 3 Distribution of STEM education research related to SDG4.
Full size table

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Nedungadi, P., Thushara, M.G., Veena, G. et al. Emerging technologies for STEM education: global evidence on learning, equity, and SDG4. Humanit Soc Sci Commun (2026). https://doi.org/10.1057/s41599-026-06565-w

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  • Received: 30 April 2024

  • Accepted: 20 January 2026

  • Published: 09 March 2026

  • DOI: https://doi.org/10.1057/s41599-026-06565-w

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