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Home > Books > Level Up! Exploring Gamification's Impact on Research and Innovation

Transforming Medical and Health Sciences Education with Gamification

Submitted: 17 April 2024 Reviewed: 21 April 2024 Published: 27 May 2024

DOI: 10.5772/intechopen.1005500

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This chapter explores the burgeoning potential of AI-powered gamification in revolutionizing medical education. Gamification, the application of game design elements in non-game settings, fosters engagement and improves knowledge retention. When infused with AI, gamification offers a personalized learning experience with adaptive difficulty and immersive simulations. This personalized approach empowers both healthcare professionals and patients. The chapter explores the transformative potential of AI-powered gamification for enhancing skill development, knowledge retention, and patient engagement. It also acknowledges the importance of addressing ethical and practical challenges, such as development costs, data privacy, and the potential impact on healthcare culture. By harnessing the strengths of AI and gamification, we can create a future where medical education is not only effective but also engaging and empowering.

• AI-powered gamification
• medical education
• personalized learning
• gamification for medical education
• health sciences education

Author Information

Khaled ouanes *.

• Department of Health Informatics, College of Health Sciences, Saudi Electronic University, Dammam, Saudi Arabia

*Address all correspondence to: [email protected]

1. Introduction

The ever-expanding body of medical knowledge necessitates a continuous evolution in healthcare education. Traditional methods, while valuable, often struggle to keep pace with the need for engaging and interactive learning experiences. This chapter explores the transformative potential of gamification to develop this field. Gamification, defined as “the use of game design elements in non-game contexts” [ 1 ], has emerged as a powerful tool in education, particularly within healthcare. By integrating artificial intelligence (AI) with gamification, medical education is undergoing a significant transformation. It is hence very interesting to delve into this exciting synergy, exploring how gamification and AI-powered gamification can create adaptive learning environments that cater to individual learners’ needs.

During the last two decades, we have started witnessing the rise of Gamification in Healthcare and medical education. Games have since become a novel pedagogical tool in medical and health sciences education, offering an interactive and engaging learning experience. Research over the past two decades has revealed a burgeoning field with diverse applications. Studies suggest that games can effectively convey complex medical concepts, enhance procedural skills, and foster critical thinking among learners [ 2 ]. The integration of gamification elements into educational curricula has further demonstrated the potential to improve knowledge retention, promote behavior change, and facilitate patient education [ 3 ]. These findings highlight the promise of gamification and games as a promising avenue for innovation in health sciences education, warranting further exploration and integration into academic programs.

In addition to the fact that gamification offers several advantages over traditional methods for motivating behavior changes toward improved health and well-being [ 4 ], and compared to game-based learning and serious games, gamification focuses specifically on incorporating game elements like points, badges, and leaderboards into non-game contexts to enhance education and knowledge acquisition [ 3 , 5 ]. This distinction allows gamification to be broadly applied within existing educational frameworks.

The integration of AI into gamification solutions marks a transformative movement reshaping medical education and professional development. This innovative intersection of AI and gamification has several implications. Indeed, AI personalizes learning experiences, creates adaptive simulations, and fosters a more engaging environment for students, learners, trainees, healthcare professionals, and patients. Some challenges associated with this emerging field, such as ethical considerations and development costs, still exist.

2. The power of gamification

Gamification relies on the application of game-design elements, theories, and principles in non-game settings. By incorporating elements like scores, points, badges, leaderboards, and narrative structures, gamification can deeply transform dry and dense learning material into a more engaging and motivating experience. Studies have shown that gamification, mirroring the captivating nature of games, can lead to improved knowledge retention, increased participation, better student engagement, and enhanced problem-solving skills [ 6 , 7 , 8 , 9 ].

This approach is particularly pertinent and highly useful in the realm of medical and health sciences education, where the need for interactive, immersive, and practical learning experiences is paramount. The application of gamification in medical education can lead to optimized learning experiences tailored to individual students’ needs, weaknesses, learning styles, and even personality traits as evidenced by empirical studies. For instance, the use of a gamified web-based learning environment demonstrated that gamification could affect learners differently based on their personality traits, suggesting a nuanced approach to educational gamification [ 9 ].

Within the health sciences and medical education context, gamification elements (points, badges, scores, leaderboards, etc.) can be leveraged to encourage sought-after learning behaviors that promote knowledge acquirement and retention of complex medical information and materials.

Moreover, gamified training platforms, including educational games, mobile medical apps, and virtual patient scenarios, have shown promise in increasing learner engagement and motivation [ 10 ]. These platforms allow for the application of real-world scenarios in a risk-free environment, fostering active learning and critical thinking [ 11 ]. For instance, Fold It, an online puzzle game based on protein folding, exemplifies how gamification can facilitate complex learning through interactive processes [ 3 ].

The advent of technology has further propelled the use of gamified platforms in medical education. Students entering medical schools are technologically literate and expect a diverse educational experience that these platforms can provide [ 3 ]. Virtual patient simulations have been effective in enhancing general learning outcomes and are instrumental in teaching clinical reasoning and decision-making skills [ 12 ].

The integration of gamification into medical and health sciences education has shown promising results in enhancing learning outcomes and student engagement. Gamification techniques leverage the innate human desire for competition, achievement, and recognition, thereby fostering a more interactive and motivating learning environment. For instance, the use of game-based simulations allows students to practice clinical skills in a risk-free setting, which can lead to improved proficiency and confidence [ 13 ].

Additionally, the application of leaderboards, points, and badges in educational platforms can encourage continuous learning and self-improvement among healthcare professionals. It is essential to consider the design and implementation of these gamified elements carefully to ensure they align with educational objectives and enhance the overall learning experience [ 13 ].

Gamification strategies in medical education have been applied across various medical disciplines, demonstrating improvements in learning outcomes and clinical decision-making abilities [ 10 ].

Despite the potential benefits, the field faces challenges in conducting rigorous research to evaluate the efficacy of gamified learning tools. There is a need for well-designed studies and research to confirm the advantages of these educational interventions. As the body of scientific literature grows, it is anticipated that gamification will become an integral component of medical education, offering a dynamic and interactive learning environment that aligns with the needs of modern learners [ 3 ].

While gamification has shown promise in medical education, challenges such as ensuring the relevance and effectiveness of games, as well as integrating them into the curriculum, remain. As previously established, future research should focus on the long-term impact of gamification on medical education and its potential to transform traditional learning environments [ 14 ].

Gamification represents a paradigm shift in medical education, offering immersive and engaging learning experiences6. Their potential to revolutionize medical education warrants further exploration and integration into educational strategies [ 14 ].

3. AI and gamification: a perfect match

Artificial intelligence (AI) brings a new dimension to gamification in medical and healthcare education. Indeed, the effectiveness of gamification in medical education can be augmented and clearly enhanced by AI technologies and techniques that adapt the learning environment to the individual’s learning style and pace. AI algorithms can examine and analyze students’ interactions with the gamified elements, understand their level and style of learning, and consequently adjust the difficulty level of the tasks or suggest different learning paths, thus providing a personalized and optimally customized learning experience.

To ensure the successful implementation of AI-powered gamification educational solutions and systems, it is also crucial to consider the diverse impacts of gamification elements on different personality traits. For example, introverted students may respond more positively to badges, while extroverted students may be more motivated by scores, points, and leaderboards [ 15 ]. Such insights underscore the importance of personalizing gamification strategies to cater to the varied preferences and traits of medical students and learners.

As previously stated, AI algorithms can personalize learning experiences by tailoring content and difficulty to individual needs. AI algorithms will learn to better customize and tweak the learning materials for each individual learner with every interaction that occurs with them. Imagine a medical student using an AI-powered gamification learning platform that adapts to their strengths, weaknesses, learning pace, learning style, and personality traits, presenting targeted challenges and feedback in a simulated environment. Thanks to AI, these environments and learning experiences will keep improving and becoming more and more adapted to this individual learner.

Hence, we can highlight that the integration of AI algorithms and techniques in gamified learning platforms has marked a transformative and innovative step in medical and healthcare education. These novel approaches of utilizing AI techniques, alongside Natural Language Processing (NLP) tools, have been shown to optimize the effectiveness of learning by personalizing the experience to each user [ 16 ]. This individualized learning is crucial in disseminating knowledge about low-value medical practices—procedures where the potential risk clearly outweighs the benefits—which are a significant concern for healthcare quality and sustainability [ 17 , 18 ].

Reconfigurable and personalized gamification platforms, as proposed by Fernández et al. [ 16 ], leverage the engaging elements of gamification, such as scoring systems, challenges, leaderboards, and rewards, within a non-gaming context to enhance student engagement. The platform’s adaptability, powered by AI, allows for the adjustment of question difficulty and types, as well as the level of gamification, to suit individual preferences, thereby improving learning outcomes [ 16 ]. Such platforms will enhance the adaptive and precision learning experience for all learners regardless of their individual attributes and level of knowledge.

Moreover, the collaborative aspect of these platforms fosters a collective, community-driven approach to learning. Students participate in projects such as creating a specialized dictionary for do-not-do terms, which not only enhances engagement but also contributes to the development of an automatic translation system through NLP and transformers [ 16 ]. This system becomes an additional learning resource, evolving and partially self-improving and self-maintaining over time. This is a very important aspect as enhancing the collaborative and teamwork skills of medical and health sciences students and learners is paramount, considering that they will operate in highly cooperative, teamwork-driven settings within healthcare organizations.

The implications of such AI-powered gamification in healthcare education systems are profound. By aiming to reduce the prevalence of low-value practices, we can fulfill an obvious potential for significant improvements in patient safety and reductions in healthcare costs [ 19 , 20 ]. The adaptability, flexibility, and collaborative nature of these platforms promise to make continuous education in healthcare more effective, efficient, and engaging, paving the way for a future where medical professionals are better equipped to provide high-quality care. This is vital in the overall context of expanding medical knowledge.

As previously discussed, the application of AI in gamified learning experiences within health sciences and medical education allows for the personalization of learning paths and paces, consequently providing feedback and challenges tailored to the learner’s actual progress. This approach aligns with the theory of gamified learning, which posits that instructional content influences learning outcomes and learners’ behaviors [ 21 ]. Moreover, the motivational effect of game elements can be enhanced and customized with AI. As already demonstrated, this motivational effect can be explained by various theories, including the self-determination theory, which defines three universal psychological basic needs: competence, autonomy, and social inclusion [ 22 ]. When these needs are addressed through gamification elements, positive effects on behavior and its determinants are observed. Indeed, self-determination theory stipulates that the satisfaction of psychological needs for competence, autonomy, and social relatedness is central to intrinsic motivation and high-quality learning [ 23 ], which AI-powered gamification can effectively facilitate.

AI techniques are also used to recognize individual student difficulties and provide targeted content based on student performance, enhancing personalized learning experiences [ 24 ]. Besides, some AI-based gamification services in education can examine and analyze predicted learning attitudes and behaviors to increase learning efficiency and provide superior immersive experiences [ 25 ].

In such context, gamification supported by AI, can lead to the development of critical skills, including soft skills, through simulation and interactive scenarios. For instance, gamified simulations that incorporate AI can mimic patient interactions, organizational workflows, and medical procedures, offering a safe and controlled environment for students, learners, and trainees to practice and hone their skills in an individualized manner. Such applications have been shown to yield positive results, with studies indicating that gamification can improve technical skills and competences in healthcare settings. Adaptive gamification in e-learning utilizes AI to tailor gamification mechanics and dynamics to the personality, needs, values, and motivations of each learner, creating an intelligent adaptive learning environment [ 26 ].

At present, the use of gamification in medical and healthcare education is a growing area of interest, with several opportunities that have the potential to enhance learning experiences and improve student engagement on different sides and levels [ 27 ]. The integration of other AI elements, particularly large language models (LLMs) like ChatGPT, has the potential to further improve medical education by providing students with detailed information and interactive simulations [ 28 ]. ChatGPT, and other LLMs, can also be used to enhance clinical management processes and provide support and treatment recommendations [ 29 ]. Machine learning (ML) techniques, on the other hand, are crucial in educating the next generation of medical professionals, enabling them to become part of the emerging data science revolution [ 30 ].

Artificial Intelligence (AI) techniques, including Machine Learning (ML) and Deep Learning (DL), are increasingly being integrated into medical education. These technologies offer innovative approaches to training medical students and professionals, enhancing their learning experience through gamification and other interactive methods.

AI-powered gamification holds significant potential for drastically transforming medical and health sciences education. By harnessing the power of AI to tailor gamification elements to individual learners, educators can create engaging, effective, and personalized learning experiences that prepare students for the challenges of the healthcare industry.

4. Revolutionizing learning with AI-powered gamification: applications and benefits

AI takes gamification in medical education to a whole new level. By analyzing learner performance and progress, AI tailors personalized learning paths. This ensures students focus on areas needing improvement, maximizing their learning experience. AI can even go beyond static simulations by creating adaptive simulations. Imagine a virtual patient scenario that responds to a learner’s decisions in real-time, fostering crucial clinical reasoning and decision-making skills in a safe, controlled environment [ 9 , 24 ].

Gamification, especially when it is AI-based, is not just for students. Complex medical situations can be presented as interactive case studies. AI can award points and/or badges for accurate diagnoses and treatment choices, fostering a spirit of healthy competition and knowledge sharing through leaderboards. This creates a dynamic learning experience that goes beyond rote memorization.

The benefits extend beyond medical professionals and students. Patients can leverage AI-powered chatbots that deliver personalized health information and education in an engaging format. Gamified elements within these chatbots can encourage patients to adhere to treatment plans and actively participate in preventative care, empowering them to take charge of their well-being.

The power of AI-powered gamification lies in its ability to enhance learning experiences and improve knowledge retention. Gamification techniques and strategies increase learner motivation and engagement, leading to a deeper, long-lasting understanding of complex medical concepts.

Enhanced skill development is another key benefit. AI-powered simulations provide learners with opportunities to practice complex medical skills in a safe and repeatable manner. This allows for experimentation and refinement without the risk of real-world consequences. Perhaps the most significant advantage is the ability to personalize learning. AI caters to individual learning styles and paces, ensuring every learner progresses at their optimal rate. This fosters a sense of agency and control over the learning process [ 31 , 32 ].

The impact is not limited to medical students and professionals. Gamified patient education tools powered by AI can increase patient engagement, empowering them to take an active role in their health and well-being. This collaborative approach can lead to better health outcomes overall.

By leveraging research insights, AI takes gamification for health and medical sciences education several steps further. Studies have shown the effectiveness of AI in delivering personalized content, and tailoring educational materials to address specific student needs. Additionally, adaptive learning platforms powered by AI techniques like Natural Language Processing (NLP) further enhance engagement by adapting the gamification experience to each individual user. This ensures the learning experience remains relevant and stimulating [ 16 ].

AI-enhanced gamification platforms hold immense potential for continuous education and quality care. These platforms can be designed to continuously educate healthcare professionals about low-value practices, keeping them updated with the latest recommendations. This ultimately translates to improved healthcare quality and better patient outcomes.

5. Challenges and considerations

Despite the potential benefits, the current body of evidence involving the combination of game-based methods and AI in health is limited. Most studies focus on rehabilitation, particularly motion impairment, and cognitive impairment rather than the implementation of gamification for educational reasons [ 33 ]. More research is needed to explore the effectiveness of AI-powered gamification across the wider spectrum of medical education and patient care.

Looking ahead, the field is likely to embrace adaptive game design. AI will assess learners’ skill levels and adjust difficulty dynamically, creating a feedback loop that personalizes the learning experience. This approach has the potential to seamlessly integrate with traditional therapy sessions, boosting motivation and engagement for students [ 34 ].

Innovative technology, especially when based on AI techniques, is expensive. A growing body of research establishes the high costs associated with implementing novel AI algorithms and systems, including data acquisition and quality issues [ 35 ]. Development costs present another significant challenge. Creating sophisticated AI-powered gamification platforms, systems, solutions, and applications requires substantially significant investment [ 36 ].

Finding sustainable funding models will be crucial for widespread adoption. Indeed, several publications emphasize this need for sustainable funding models for AI projects in general, particularly in the context of sustainable finances [ 37 , 38 ].

Data privacy and security are paramount concerns in the context of any e-health systems or solutions. Similarly, when developing gamification platforms and applications, we need to ensure the cybersecurity and the privacy of the data and the different end-users. Robust measures must be implemented to ensure patient information remains confidential and protected ([ 39 ]: [ 40 ]).

Finally, the potential impact of gamification on healthcare culture warrants consideration. While healthy competition can be motivating, it is crucial to ensure gamification fosters collaboration, not a culture of rivalry, within healthcare settings. In the vast realm of medical and healthcare education, the ethical considerations of gamification – for education and for other usages – are paramount. As Shahri et al. [ 41 ] elucidate, gamification can straddle the line between a motivational tool and a source of unjustified and undue pressure, potentially impacting social and mental well-being in educational institutions or within healthcare organizations, leading to unwanted tensions and conflicts. Ethical deployment in healthcare education necessitates a balance, ensuring gamification does not devolve into “exploitation-ware” [ 42 ], where the drive for virtual rewards overtakes or, at least, overshadows the intrinsic value of learning and patient care. We need to standardize an ethical framework that must be sensitive to personal and cultural values, safeguard privacy, and foster an environment where gamification serves as an enhancement rather than a detriment to the educational experience [ 43 ]. Thus, when integrating gamification into medical curricula, educators should heed clear ethical guidelines to maintain the integrity and efficacy of the learning process.

By addressing these challenges and continuing research, AI-powered educational gamification for health and medical sciences can unlock its full potential to pursue its groundbreaking impact on medical education and patient care.

6. Conclusion

This chapter has explored the exciting potential of gamification, particularly AI-powered gamification, in revolutionizing medical education. Gamification, defined as “the use of game design elements in non-game contexts” [ 1 ], offers a compelling alternative to traditional teaching methods [ 14 ]. By incorporating game elements like points, badges, and leaderboards, and by harnessing the power of AI techniques, gamified learning environments foster engagement, improve knowledge retention, and enhance problem-solving skills [ 9 ].

The integration of AI into gamification marks a transformative leap forward. AI personalizes learning experiences by tailoring content and difficulty to individual needs [ 16 ]. This personalization caters to diverse learning styles and paces, ensuring optimal learning outcomes [ 15 ]. Furthermore, AI-powered simulations create immersive and realistic scenarios, allowing learners to practice critical skills in a safe, controlled environment [ 25 ]. These simulations foster clinical reasoning and decision-making abilities, ultimately improving preparedness for real-world situations [ 13 ].

The benefits extend beyond medical students and professionals. Gamified patient education tools powered by AI can empower patients to take an active role in their health and well-being [ 3 ]. Interactive case studies and AI-powered chatbots that deliver personalized health information can increase patient engagement and adherence to treatment plans [ 29 ]. This collaborative approach between patients and healthcare providers can lead to better health outcomes overall.

However, realizing the full potential of this exciting field necessitates careful consideration of ethical and practical challenges. Development costs for sophisticated AI-powered games can be significant, requiring innovative funding models for widespread adoption [ 34 ]. Additionally, ensuring data privacy and security is paramount when developing healthcare gamification applications [ 24 ]. Finally, the potential impact of gamification on healthcare culture requires close examination. Gamification should foster collaboration within healthcare settings, not a culture of competition [ 26 ].

Additionally, we have to recognize that AI-powered gamification ushers in a transformative era for medical education. It leverages the power of AI to personalize learning journeys, craft immersive simulations, and boost learner motivation. This innovative approach has the potential to revolutionize education, not just by improving knowledge retention and enhancing skill development, but also by empowering both healthcare professionals and patients. As with any groundbreaking advancements, careful consideration of ethical and practical challenges is paramount to unlocking the full potential of this exciting field. While the integration of AI in games is not a novel concept, its capabilities have the power to significantly alter classroom dynamics, paving the way for a more engaging and effective learning experience [ 36 ].

The long-term impact of AI-powered gamification on healthcare professional competency.

The development of cost-effective AI solutions for healthcare gamification.

The integration of gamification with other educational technologies like extended reality (XR) and/or virtual reality (VR).

The development of better AI-based systems capable of autonomously evolving and adapting throughout the academic journey of the learners.

The development of better security, privacy, and ethics guidelines and frameworks.

Gamification appears to be at least as effective as traditional learning for improving knowledge, skills, and satisfaction in health professions education, but more rigorous research is needed [ 44 ].

Transfer of learning to real-world practice : Do the skills honed through gamified simulations translate effectively to real-world clinical settings? Research designs could involve observing healthcare professionals who have utilized AI-powered gamification in their training and comparing their performance with those who have not. Standardized clinical assessments and patient outcomes could be used as evaluation metrics.

Retention of knowledge and skills over time : Does the gamified learning experience lead to long-term sustained knowledge and skills retention among healthcare students and professionals? Longitudinal studies with regular knowledge and skills assessments at predetermined intervals (e.g., 6 months, 1 year, 3 years) could provide valuable insights and guidance.

Impact on clinical decision-making : Does AI-powered gamification enhance clinical decision-making abilities and skills? Studies could involve comparing the decision-making accuracy of healthcare professionals who have undergone gamified training, or a combination of gamified and conventional training, with those who have not, using simulated scenarios mirroring real-world situations and settings.

6.1 Methodologies for research

Randomized controlled trials ( RCTs ): These studies would involve randomly assigning healthcare professionals to either an AI-powered gamified learning group or a control group receiving traditional training. Long-term patient outcomes and clinical performance could then be compared between the groups. Such studies should be conducted over a reasonably long period of time.

Cohort studies : These studies would follow a group of healthcare professionals who have undergone AI-powered gamified training and/or education over an extended period, tracking their knowledge retention, skill development, and impact on patient care quality.

Mixed-methods research : This approach would combine quantitative data (e.g., test scores, patients’ health outcomes) with qualitative data (e.g., surveys, interviews, focus groups) to gain a more comprehensive and holistic understanding of the long-term impact of AI-powered gamification on healthcare professionals.

Through implementing these research directions and methodologies, we can gain valuable insights into the long-term effectiveness of AI-powered gamification in medical education. This will ultimately inform the development of even more impactful educational tools and strategies for healthcare professionals. By continuing to explore and develop AI-powered healthcare gamification, we can create a future where learning is not just effective, but also engaging and empowering for all.

• 1. Deterding S, Dixon D, Khaled R, Nacke L. From game design elements to gamefulness: Defining gamification. In: Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments. Tampere, Finland; 2011. pp. 9-15
• 2. Kharrazi H, Lu AS, Gharghabi F, Coleman W. A scoping review of health game research: Past, present, and future. Games for Health Journal. 2012; 1 (2):153-164. DOI: 10.1089/g4h.2012.0011
• 3. Krishnamurthy K, Selvaraj N, Gupta P, Cyriac B, Dhurairaj P, Abdullah A, et al. Benefits of gamification in medical education. Clinical Anatomy. 2022; 35 :795-807. DOI: 10.1002/ca.23916
• 4. Johnson D, Deterding S, Kuhn K, Staneva A, Stoyanov S, Hides L. Gamification for health and wellbeing: A systematic review of the literature. Internet Interventions. 2016; 6 :89-106. DOI: 10.1016/j.invent.2016.10.002
• 5. Gorbanev I, Agudelo-Londoño S, González RA, Cortes A, Pomares A, Delgadillo V, et al. A systematic review of serious games in medical education: Quality of evidence and pedagogical strategy. Medical Education Online. 2018; 23 (1):1438718
• 6. Dichev C, Dicheva D. Gamifying education: What is known, what is believed and what remains uncertain: A critical review. International Journal of Educational Technology in Higher Education. 2017; 14 :9. DOI: 10.1186/s41239-017-0042-5
• 7. Jang J, Park JJY, Yi MY. Gamification of online learning. In: Conati C, Heffernan N, Mitrovic A, Verdejo MF, editors. In Artificial Intelligence in Education. Cham: Springer; 2015. pp. 646-649
• 8. Sailer M, Homner L. The gamification of learning: A meta-analysis. Educational Psychology Review. 2020; 32 :77-112. DOI: 10.1007/s10648-019-09498-w
• 9. Smiderle R, Rigo SJ, Marques LB, et al. The impact of gamification on students’ learning, engagement and behavior based on their personality traits. Smart Learning Environments. 2020; 7 :3. DOI: 10.1186/s40561-019-0098-x
• 10. McCoy L, Lewis JH, Dalton D. Gamification and multimedia for medical education: A landscape review. The Journal of the American Osteopathic Association. 2016; 116 (1):22-34. DOI: 10.7556/jaoa.2016.003
• 11. Bochennek K, Wittekindt B, Zimmermann S-Y, Klingebiel T. More than mere games: A review of card and board games for medical education. Medical Teacher. 2007; 29 (9-10):941-948. DOI: 10.1080/01421590701749813
• 12. Kononowicz AA, Woodham LA, Edelbring S, Stathakarou N, Davies D, Saxena N, et al. Virtual patient simulations in health professions education: Systematic review and meta-analysis by the digital health education collaboration. Journal of Medical Internet Research. 2019; 21 (7):e14676. DOI: 10.2196/14676
• 13. Salehi A, Mohammadi H, Jenabi E, Khanlarzadeh E, Ashtari K. Quality of evidence and pedagogical strategy in using gamification in medical education literature: A systematic review. Simulation and Gaming. 2023; 54 :598-620. DOI: 10.1177/10468781231195903
• 14. Xu M, Luo Y, Zhang Y, Xia R, Qian H, Zou X. Game-based learning in medical education. Frontiers in Public Health. 2023. DOI: 10.3389/fpubh.2023.1113682
• 15. Jia Y, Xu B, Karanam Y, Voida S. Personality-targeted gamification: A survey study on personality traits and motivational affordances. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems-CHI ‘16. San Jose, California, USA; 2016. DOI: 10.1145/2858036.2858515 ACM
• 16. Fernández C, Vicente M, Lorenzo S, Carrillo I, Guilabert M. Reconfigurable gamification platform for the autonomous learning of low value medical practices. Signal and Image Processing Trends. 2022. DOI: 10.5121/csit.2022.121716
• 17. Chassin MR, Galvin RW. The urgent need to improve health care quality. JAMA. 1998; 280 :1000-1058
• 18. Korenstein D, Chimonas S. Reducing overuse-is patient safety the answer? JAMA. 2017; 317 :810-110
• 19. Brownlee S, Chalkidou K, Doust J, et al. Evidence for overuse of medical services around the world. Lancet. 2017; 390 :157-686
• 20. Shrank WH, Rogstad TL, Parekh N. Waste in the US health care system: Estimated costs and potential for savings 11. Journal of the American Medical Association. 2019. DOI: 10.1001/jama.2019.13978
• 21. Landers RN. Developing a theory of gamified learning: Linking serious games and gamification of learning. Simulation and Gaming. 2014; 45 (6):752-768
• 22. Sailer M, Hense JU, Mayr SK, Mandl H. How gamification motivates: An experimental study of the effects of specific game design elements on psychological need satisfaction. Computers in Human Behavior. 2017; 69 :371-380. DOI: 10.1016/j.chb.2016.12.033
• 23. Ryan RM, Deci EL. Overview of self-determination theory: An organismic dialectical perspective. In: Deci EL, Ryan RM, editors. Handbook of Self-determination Research. Rochester, NY, US: University of Rochester Press; 2002. pp. 3-33
• 24. Bracaccio R, Hojaij F, Notargiacomo P. Gamification in the study of anatomy: The use of artificial intelligence to improve learning. The FASEB Journal. 2019; 33 . DOI: 10.1096/fasebj.2019.33.1_supplement.444.28
• 25. Nam H. Design of AI-based gamification platform for effective educational service using child behavior prediction/change. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 2021; 12 :286-292. DOI: 10.17762/TURCOMAT.V12I5.899
• 26. Bennani S, Maalel A, Ghézala H. Adaptive gamification in E-learning: A literature review and future challenges. Computer Applications in Engineering Education. 2021; 30 :628-642. DOI: 10.1002/cae.22477
• 27. Nicola S, Virag I, Stoicu-Tivadar L. VR medical gamification for training and education. Studies in Health Technology and Informatics. 2017; 236 :97-103
• 28. Lee H. The rise of Chat GPT: Exploring its potential in medical education. Anatomical Sciences Education. 2023; 00 :1-6. DOI: 10.1002/ase.2270
• 29. Tariq S, Tariq S. Revolutionizing healthcare with AI: The role of chat GPT. Journal of University Medical and Dental College. 2023; 14 (2):v-v. DOI: 10.37723/jumdc.v14i2.850
• 30. Kolachalama VB, Garg PS. Machine learning and medical education. npj Digital Medicine. 2018; 1 :54. DOI: 10.1038/s41746-018-0061-1
• 31. Maghsudi S, Lan A, Xu J, van der Schaar M. Personalized Education in the Artificial Intelligence Era: What to Expect Next. IEEE Signal Processing Magazine. 2021; 38 (3):37-50. DOI: 10.1109/MSP.2021.3055032
• 32. UNESCO. Understanding the Impact of Artificial Intelligence on Skills Development. United Nations Educational, Scientific and Cultural Organization; 2021. Available from: https://unevoc.unesco.org/pub/understanding_the_impact_of_ai_on_skills_development.pdf
• 33. Tolks D, Schmidt JJ, Kuhn S. The role of Ai in serious games and gamification for health: Scoping review. JMIR Serious Games. 2024; 12 :e48258. DOI: 10.2196/48258
• 34. Burdea G, Kim N, Polistico K, Kadaru A, Grampurohit N, Roll D, et al. Assistive game controller for artificial intelligence-enhanced telerehabilitation post-stroke. Assistive Technology. 2021; 33 (3):117-128. DOI: 10.1080/10400435.2019.1593260 Available from: https://europepmc.org/abstract/MED/31180276
• 35. Kejriwal M. AI in practice and implementation: Issues and costs. In: Artificial Intelligence for Industries of the Future. Future of Business and Finance. In, Cham: Springer; 2023. DOI: 10.1007/978-3-031-19039-1_2
• 36. Kurni M, Mohammed MS, Srinivasa KG. AI-enabled gamification in education. In: A Beginner’s Guide to Introduce Artificial Intelligence in Teaching and Learning. Cham: Springer; 2023. DOI: 10.1007/978-3-031-32653-0_6
• 37. Musleh Al-Sartawi AMA, Hussainey K, Razzaque A. The role of artificial intelligence in sustainable finance. Journal of Sustainable Finance and Investment. 2022:1-6. DOI: 10.1080/20430795.2022.2057405
• 38. Pashang, S., Weber, O. (2023). AI for sustainable finance: Governance mechanisms for institutional and societal approaches. In: Mazzi, F., Floridi, L. (eds) The Ethics of Artificial Intelligence for the Sustainable Development Goals. Philosophical Studies Series, vol 152. Springer, Cham. doi:10.1007/978-3-031-21147-8_12
• 39. Mavroeidi A-G, Kitsiou A, Kalloniatis C. The Role of Gamification in Privacy Protection and User Engagement. London, UK: IntechOpen; 2020. DOI: 10.5772/intechopen.91159
• 40. Shojaei P, Vlahu-Gjorgievska E, Chow Y-W. Security and privacy of technologies in health information systems: A systematic literature review. Computers. 2024; 13 (2):41. DOI: 10.3390/computers13020041
• 41. Shahri A, Hosseini M, Phalp K, Taylor J, Ali R. Towards a code of ethics for gamification at enterprise. In: Frank U, Loucopoulos P, Pastor Ó, Petrounias I, editors. The Practice of Enterprise Modeling. Vol. 197. Berlin, Heidelberg: Springer; 2014. pp. 235-245
• 42. Nicholson S.A User-Centered Theoretical Framework for Meaningful Gamification A Brief. Games+ Learning+ Society 8. 2012
• 43. Friedman B et al. Value sensitive design and information systems. In: Early Engagement and New technologies: Opening up the laboratory. Vol. 2. Netherlands: Springer; 2013. p. 55, 95
• 44. Gentry S, Gauthier A, Ehrstrom B, Wortley D, Lilienthal A, Car L, et al. Serious gaming and gamification education in health professions: Systematic review. Journal of Medical Internet Research. 2019:21. DOI: 10.2196/12994

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Practical Research 1 Module: Nature of Inquiry and Research

This Senior High School Practical Research 1 Self-Learning Module (SLM) is prepared so that you, our dear learners, can continue your studies and learn while at home. Activities, questions, directions, exercises, and discussions are carefully stated for you to understand each lesson.

Nowadays society has many forms of problems that require solutions. These solutions must be based on facts, valid investigations, experiences and not just on mere beliefs and suggestions. Indeed, to attain such knowledge and accuracy, a systematic procedure and well-planned research are required. Research is a process of inquiring about the solution to the problem, collecting data, and logically evaluating information. To develop good research, one must investigate reliable information.

In this lesson, you will conduct research with a vision to seek information and solution to a problem. You will look for an in-depth evaluation of everything that is needed in the research.

Learning Objectives:

After studying this chapter, you will be able to:

a. define what is research (CS_RS11-IIIa-1);

b. give the importance of research in daily life (CS_RS11-IIIa-2) ;

c. enumerate the characteristics, processes, and ethics of research (CS_RS11- IIIa-3) ;

d. differentiate Quantitative from Qualitative Research (CS_RS11-IIIa-4) ; and

e. provide examples of research in the area of interest (CS_RS11-IIIa-5) .

Senior High School Quarter 1 Self-Learning Module Practical Research 2 – Nature of Inquiry and Research

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