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Technical infrastructure for curriculum mapping in medical education: a narrative review

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Curriculum mapping is the process of designing a multidimensional model of an educational programme for a complete, more transparent and better-integrated learning experience. Many universities worldwide are building or expanding their technical infrastructure to manage their curricula. Our aim was to deliver a synopsis of current practices and describe the focus of research interest in implementing curriculum mapping tools for medical education. As part of the Building Curriculum Infrastructure in Medical Education (BCIME) project, we conducted a state-of-the-art narrative review of the literature. A systematised search of the PubMed/MEDLINE database for the years 2013-2019 resulted in 352 abstracts, from which 23 full-text papers were included in the final review. From these, we extracted guidance on 12 key characteristics of curriculum mapping tools. The collected experiences formed four thematic categories: visualisations, text descriptions and analysis, the outcome-based approach and adaptability in curriculum mapping. As result of the review, we summarised topics regarding ways of: implementating new competency-based catalogues (like NKLM) in curriculum mapping software (e. g., using dynamic checklists), methods of streamlining the authoring process (e. g., by automatic detection and alignment of action verbs in learning objectives descriptions) and graphical forms of presenting curriculum data (e. g., network visualisations using automatic clustering of related parts of a curriculum based on similarities between textual descriptions). We expect further developments in text-mining methods and visual/learning analytics in curriculum mapping. The collected data informed the design of a new curriculum management system called EduPortfolio, which is currently being implemented by the BCIME project.
Rocznik
Strony
art. no. 20200026
Opis fizyczny
Bibliogr. 46 poz., rys.
Twórcy
  • Department of Bioinformatics and Telemedicine, Jagiellonian University Medical College, Łazarza Str. 16, 31-530, Kraków, Poland, Tel/fax. +48 12 619-96-93
  • Department of Medical Education, Jagiellonian University Medical College, Kraków, Poland
autor
  • Department of Medical Education, Jagiellonian University Medical College, Kraków, Poland
  • Department of Medical Education, Jagiellonian University Medical College, Kraków, Poland
  • Department of Informatics and Biostatistics, “Grigore T. Popa” University of Medicine and Pharmacy Iasi, Iasi, Romania
autor
  • Medical Education Sciences, Medical School, University of Augsburg, Augsburg, Germany
  • Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
  • Department of Medical Informatics, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Košice, Slovakia
Bibliografia
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  • 2. Sterz J, Hoefer SH, Janko M, Bender B, Adili F, Schreckenbach T, et al. Do they teach what they need to? An analysis of the impact of curriculum mapping on the learning objectives taught in a lecture series in surgery. Med Teach 2019;41: 417-21.
  • 3. Jalloh C, Collins B, Lafleur D, Reimer J, Morrow A. Mapping session learning objectives to exam questions: how to do it and how to apply the results. Med Teach 2020;42:66-72.
  • 4. Willett TG. Current status of curriculum mapping in Canada and the UK. Med Educ 2008;42:786-93.
  • 5. Ellaway RH, Albright S, Smothers V, Cameron T, Willett T. Curriculum inventory: modeling, sharing and comparing medical education programs. Med Teach 2014 Mar;36:208-15.
  • 6. Harden RM, Crosby JR, Davis MH. AMEE Guide No. 14: outcomebased education: Part 1 - an introduction to outcome-based education. Med Teach 1999;21:7-14.
  • 7. Frank JR, Snell LS, Cate O Ten, Holmboe ES, Carraccio C, Swing SR, et al. Competency-based medical education: theory to practice. Med Teach 2010;32:638-45.
  • 8. Schneider GB, Cunningham-Ford MA, Johnsen DC, Eckert ML, Mulder M. Outcomes mapping: a method for dental schools to coordinate learning and assessment based on desired characteristics of a graduate. J Dent Educ 2014 Sep;78:1268-78.
  • 9. Salas AA, Anderson MB, LaCourse L, Allen R, Candler CS, Cameron T, et al. CurrMIT: a tool for managing medical school curricula. Acad Med 2003;78:275-9.
  • 10. BCIME. Building curriculum infrastructure in medical education [Internet]; 2018. Available from: http://bcime.upjs.sk [Accessed 6 May 2020].
  • 11. Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J 2009;26: 91-108.
  • 12. Cook DA. Systematic and nonsystematic reviews: choosing an approach. In: Healthcare simulation research. Cham: Springer International Publishing; 2019: pp. 55-60. https://doi.org/10.1007/978-3-030-26837-4_8.
  • 13. BCIME project. O1: needs analysis [Internet]; 2019. Available from: https://www.upjs.sk/public/media/19405/BCIME-IO1-final.pdf.
  • 14. Spreckelsen C, Finsterer S, Cremer J, Schenkat H. Can social semantic web techniques foster collaborative curriculum mapping in medicine?. J Med Internet Res 2013 Aug;15:e169.
  • 15. Canning CA, Loe A, Cockett KJ, Gagnon P, Zary N. Data driven quality improvement of health professions education: design and development of CLUE - an interactive curriculum data visualization tool. Stud Health Technol Inform 2017;235:171-5.
  • 16. Jarvis-Selinger S, Hubinette M. The Matrix: moving from principles to pragmatics in medical school curriculum renewal. Acad Med 2018 Oct;93:1464-71.
  • 17. Balzer F, Hautz WE, Spies C, Bietenbeck A, Dittmar M, Sugiharto F, et al. Development and alignment of undergraduate medical curricula in a web-based, dynamic Learning Opportunities, Objectives and Outcome Platform (LOOOP). Med Teach 2016;38: 369-77.
  • 18. Al-Eyd G, Achike F, Agarwal M, Atamna H, Atapattu DN, Castro L, et al. Curriculum mapping as a tool to facilitate curriculum development: a new School of Medicine experience. BMC Med Educ 2018;18:1-8.
  • 19. Behrends M, Steffens S, Marschollek M. The implementation of medical informatics in the National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM). Stud Health Technol Inform 2017;243:18-22.
  • 20. Fritze O, Lammerding-Koeppel M, Boeker M, Narciss E, Wosnik A, Zipfel S, et al. Boosting competence-orientation in undergraduate medical education - a web-based tool linking curricular mapping and visual analytics. Med Teach 2018 Jul 30:1-11. https://doi.org/10.1080/0142159X.2018.1487047.
  • 21. Lammerding-Koeppel M, Giesler M, Gornostayeva M, Narciss E, Wosnik A, Zipfel S, et al. Monitoring and analysis of the change process in curriculum mapping compared to the National Competency-based Learning Objective Catalogue for Undergraduate Medical Education (NKLM) at four medical faculties. Part I: conducive resources and structures. GMS J Med Educ 2017;34:Doc7. https://doi.org/10.3205/zma001084.
  • 22. Cottrell S, Hedrick JS, Lama A, Chen B, West CA, Graham L, et al. Curriculum mapping: a comparative analysis of two medical school models. Med Sci Educ 2016 Mar 19;26:169-74.
  • 23. Komenda M, Schwarz D, Svancara J, Vaitsis C, Zary N, Dusek L. Practical use of medical terminology in curriculum mapping. Comput Biol Med 2015 Aug;63:74-82.
  • 24. Komenda M, Víta M, Vaitsis C, Schwarz D, Pokorná A, Zary N, et al. Curriculum mapping with academic analytics in medical and healthcare education. PLoS One 2015;10:1-18.
  • 25. Komenda M, Schwarz D, Vaitsis C, Zary N, Štěrba J, Dušek L. OPTIMED platform: curriculum harmonisation system for medical and healthcare education. Stud Health Technol Inform 2015;210: 511-5.
  • 26. Komenda M, Karolyi M, Pokorna A, Vaitsis C. Medical and healthcare curriculum exploratory analysis. Stud Health Technol Inform 2017;235:231-5.
  • 27. Komenda M, Scavnicky J, Ruzickova P, Karolyi M, Stourac P, Schwarz D. Similarity detection between virtual patients and medical curriculum using R. Stud Health Technol Inform 2018; 255:222-6.
  • 28. Steketee C. Prudentia: a medical school’s solution to curriculum mapping and curriculum management. J Univ Teach Learn Pract 2015;12:1-10.
  • 29. Aldrich PR. The curriculum prerequisite network: modeling the curriculum as a complex system. Biochem Mol Biol Educ 2015;43: 168-80.
  • 30. Vaitsis C, Nilsson G, Zary N. Visual analytics in healthcare education: exploring novel ways to analyze and represent big data in undergraduate medical education. PeerJ 2014;2:e683.
  • 31. Kang Y-B, Nadarajah VD V. Building a database for curriculum mapping and analytics [Version 2]. MedEdPublish 2019;8. https://doi.org/10.15694/mep.2019.000038.2.
  • 32. Sharma M, Scorer M, Kent D, Murphy R, Doody G. Mapping the undergraduate dermatology curriculum: a useful tool towards implementation of national recommendations. Clin Exp Dermatol 2020 Apr;45:337-9.
  • 33. Changiz T, Yamani N, Tofighi S, Zoubin F, Eghbali B. Curriculum management/monitoring in undergraduate medical education: a systematized review. BMC Med Educ 2019 Feb;19:60.
  • 34. Rawle F, Bowen T, Murck B, Hong R. Curriculum mapping across the disciplines: differences, approaches, and strategies. Collect Essays Learn Teach 2017;10:75.
  • 35. Fischer MR, Bauer D, Mohn K, NKLM-Projektgruppe. Finally finished! National Competence Based Catalogues of Learning Objectives for Undergraduate Medical Education (NKLM) and Dental Education (NKLZ) ready for trial. GMS Z Med Ausbild 2015; 32:Doc35. https://doi.org/10.3205/zma000977.
  • 36. Anderson LW. Objectives, evaluation, and the improvement of education. Stud Educ Eval 2005 Jan;31:102-13.
  • 37. Pangaro L. A new vocabulary and other innovations for improving descriptive in-training evaluations. Acad Med 1999 Nov;74: 1203-7.
  • 38. BCIME project. O2: methodological and technical step-by-step manual on curriculum innovations in medical and healthcare study fields [Internet]; 2019. Available from: https://www.upjs.sk/en/faculty-of-medicine/bcime/io-2/.
  • 39. Karolyi M, Ščavnický J, Bulhart V, Růžičková P, Komenda M. Eduportfolio: complex platform for curriculum management and mapping. In: Proceedings of the 11th International Conference on Computer supported Education. SCITEPRESS - Science and Technology Publications; 2019: pp. 352-8. https://doi.org/10.5220/0007722103520358.
  • 40. Vaitsis C, Spachos D, Karolyi M, Woodham L, Zary N, Bamidis P, et al. Standardization in medical education: review, collection and selection of standards to address technical and educational aspects in outcome-based medical education. MEFANET J 2017;5: 28-39.
  • 41. Karolyi M, Komenda M, Woodham L, Ščavnický J, Vaitsis C, Spachos D. Medical curriculum standards: towards relational database transformation. Health Technol (Berl); 2020 Jan 21. https://doi.org/10.1007/s12553-020-00409-6.
  • 42. Watson EGS, Moloney PJ, Toohey SM, Hughes CS, Mobbs SL, Leeper JB, et al. Development of eMed: a comprehensive, modular curriculum-management system. Acad Med 2007 Apr;82:351-60.
  • 43. Hege I, Fischer MR. Mapping a medical curriculum using a learning objectives database - lessons learned at the University of Munich. Bio Algorithm Med Syst 2012;8:307-14.
  • 44. Janczukowicz J. Medical education in Poland. Med Teach 2013;35: 537-43.
  • 45. Mavroudi A, Giannakos M, Krogstie J. Supporting adaptive learning pathways through the use of learning analytics: developments, challenges and future opportunities. Interact Learn Environ 2018;26:206-20.
  • 46. Nifakos S, Vaitsis C, Zary N. AUVA - augmented reality empowers visual analytics to explore medical curriculum data. Stud Health Technol Inform 2015;210:494-8.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a379ed91-feee-4818-9896-2cf406a6d6af
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