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Integration of Adaptive Navigation Structures Into E-health Applications

Year 2024, Volume: 17 Issue: 1, 23 - 30, 31.01.2024
https://doi.org/10.17671/gazibtd.1264449

Abstract

The structured online Delphi Method, which included qualitative and quantitative research methods, was used in the study to integrate and regulate the principles for online adaptive navigation environments to e-health applications. Data triangulation was accomplished in the Delphi process by concurrently gathering qualitative and quantitative data in a single questionnaire, which was started following the experts' approval of their involvement in the study. The experts finally reached an agreement after repeatedly presenting the data acquired and the outcomes generated by the examination of this data to the experts. The first round of the investigation led to the conclusion that the experts deemed the principles for the adaption of navigation were structurally adequate. Yet, experts reported that the principles for online learning environments should be reinterpreted within the framework of e-health applications. The study was terminated in the third Delphi round when it was observed that no new ideas were produced on the principles that were reshaped in each round in line with the expert opinions, all the strengths and weaknesses related to the items were determined, and no views or suggestions were received from the experts. As a result of the study, it was determined that experts reached a consensus on all the principles for the adaptation of navigation in the design of e-health applications. It was also concluded that the agreement between observers (ICC=.930) was excellent.

References

  • P. Kostkova, “Grand challenges in digital health”, Frontiers in Public Health, 3(134), 1-5, 2015.
  • U. H. Bittlingmayer, K. Dadaczynski, D. Sahrai, S. v. Broucke, O. Okan, “Digitale gesundheitskompetenz – konzeptionelle verortung, erfassung und förderung mit fokus auf kinder und jugendliche”, Bundesgesundheitsblatt- Gesundheitsforschung- Gesundheitsschutz, 63, 176-184, 2020.
  • A. Scheerder, A. van Deursen, J. van Dijk, “Determinants of Internet skills, use and outcomes: A systematic review of the second-and third-level digital divide”, Telematics and informatics, 34(8), 1607-1624, 2017.
  • K. Sørensen, J. M. Pelikan, F. Röthlin, K. Ganahl, Z. Slonska, G. Doyle, J. Fullam, B. Kondilis, D. Agrafiotis, E. Uiters, M. Falcon, M. Mensing, K. Tchamov, S. van den Broucke, H. Brand, HLS-EU Consortium, “Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU)”, European journal of public health, 25(6), 1053–1058, 2015.
  • A. Odone, S. Buttigieg, W. Ricciardi, N. Azzopardi-Muscat, A. Staines, “Public health digitalization in Europe”, European journal of public health, 29(Supplement_3), 28–35, 2019.
  • I. Kickbusch, D. Piselli, A. Agrawal, R. Balicer, O. Banner, M. Adelhardt, E. Capobianco, C. Fabian, A. Singh Gill, D. Lupton, R. P.Medhora, N. Ndili, A. Ryś, N. Sambuli, D. Settle, S. Swaminathan, J. V. Morales, M. Wolpert, A. W. Wyckoff, L. Xue, … Secretariat of the Lancet and Financial Times Commission, “The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world”, Lancet (London, England), 398(10312), 1727–1776, 2021.
  • R. van Kessel, R. Hrzic, E. O'Nuallain, E. Weir, B.L.H. Wong, M. Anderson, S Baron-Cohen, E. Mossialos, “Digital Health Paradox: International Policy Perspectives to Address Increased Health Inequalities for People Living With Disabilities”, J Med Internet Res. 24(2):e33819, 2022.
  • P. Brusilovsky, “Adaptive and intelligent technologies for web-based education”, Künstliche Intelligenz, 13, 19-25, 1999.
  • P. Brusilovsky, “Adaptive navigation support in educational hypermedia: The role of student knowledge level and the case for meta-adaptation”, British Journal of Educational Technology, 34(4), 487-497, 2003.
  • P. Brusilovsky, C. Peylo, “Adaptive and intelligent web-based educational systems”, International Journal of Artificial Intelligence in Education, 13(2), 156-169, 2003.
  • C. M. Reigeluth, “A new paradigm of ISD?” Educational Technology & Society, 36(3), 13-20, 1996.
  • S. Somyürek, Uyarlanabilir Eğitsel Web Ortamlarının Öğrencilerin Akademik Başarısına ve Gezinmesine Etkisi (Yayınlanmamış Doktora tezi), Gazi Üniversitesi, Eğitim Bilimleri Enstitüsü, Ankara, 2008.
  • C.-M. Chen, “Personalized e-learning system with self-regulated learning assisted mechanisms for promoting learning performance”, Expert Systems with Applications, 36, 8816–8829. 2009.
  • P. Brusilovsky, & L. Pesin, “An intelligent learning environment for CDS/ISIS users”, In J.J Levonen and M.T Tukianinen. (Eds.), Proceedings of the interdisciplinary workshop on complex learning in computer environments (CLCE94) (29-33). Joensuu, Finland, May 16-19, 1994.
  • P. De Bra, “Adaptive Hypermedia on the Web: Methods, techniques and applications, Proceeedings of the AACE WebNet'98 (220-225), Orlando, Florida, USA, November 7-12, 1998.
  • E. K. Çakmak, “Çoklu Ortamlarda Dar Boğaz: Aşırı Bilişsel Yüklenme”, Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 27(2), 1-24, 2007.
  • A. E. Kılıç, Ö. G. Ş. Karadeniz, “Hiper Ortamlarda Öğrencilerin Bilişsel Yüklenme ve Kaybolma Düzeylerinin Belirlenmesi” Kuram ve Uygulamada Eğitim Yönetimi, 40(40), 562-579, 2004.
  • T. Murray, “Characteristics and affordances of adaptive hyperbooks”, Proceedings of WebNet 2001, Orlando, FL, USA, October 23-27, 2001.
  • J. Q. Young, J. V. Merrienboer, S. Durning, O. Ten Cate, “Cognitive Load Theory: Implications for medical education: AMEE Guide No. 86”, Medical Teacher, 36(5), 371-384, 2014.
  • S. McDonald, & R. J. Stevenson, “Disorientation in hypertext: the effects of three text structures on navigating performance”, Applied Ergonomics, 27(1), 61-68, 1996.
  • E. Cuddihy, K. A. Mobrand, J. H. Spyridakis, “Web page previews: effect on comprehension, user perceptions, and site exploration”, Journal of Information Science, 38(2), 103–117, 2012.
  • K. A. Lawless, P. G. Schrader, H. J. Mayall, “Acquisition of information online: Knowledge, navigation and learning outcomes”, Journal of Literacy Research, 39(3), 289–306, 2007.
  • L. Salmerón, W. Kintsch, J. J. Cañas, “Reading strategies and prior knowledge in learning from hypertext”, Memory & Cognition, 34(5), 1157–1171, 2006.
  • A. Hansen, M. Herrmann, J. P. Ehlers, T. Mondritzki, K. O. Hensel, H. Truebel, P. Boehme, “Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study”, JMIR public health and surveillance, 5(4), e14689, 2019.
  • L. Çetinkaya, Uyarlanabilir eğitsel içerikli web ortamlarının tasarım ilkeleri (Yayınlanmamış doktora tezi), Ankara Üniversitesi, Eğitim Bilimleri Enstitüsü, Ankara, 2013.
  • A. L. Delbecq, A. H. Van de Ven, D. H. Gustafson, Group techniques for program planning: A guide to nominal group and Delphi processes, Scott, Foresman & Company, 1975.
  • M. Fry, G. Burr, “Using the Delphi tecnique to design a self reporting triage survey tool”, Accident and Emergency Nursing, 9(4), 235- 241, 2001.
  • W. Alexander, R. Serfass, Futuring tools for strategic quality planning in education, Milwaukee, WI: American Society for Quality Press, 1999.
  • T. Hatcher, S. Colton, “Using the internet to improve HRD research: The case of the web-based Delphi research technique to achieve content validity of an HRD-oriented measurement”, Journal of European Industrial Training, 31(7), 570-587, 2007.
  • J. A. Maxwell, Qualitative research design: An interpretative approach, Thousand Oaks, CA: Sage, 1996.
  • A. Tashakkori, C. B. Teddlie, Handbook of mixed methods in social and behavioral research, Thousand Oaks, CA: Sage, 2003.
  • H. A. Shah, & T. S. Tillman, “An international delphi study to build a foundation for an undergraduate level lean manufacturing curriculum”, International Transaction Journal of Engineering, Management & Applied Sciences & Technologies, 9(3), 521-530, 2011.
  • K. L. Gwet, Handbook of inter-rater reliability, Gaithersburg: StatAxis Publishing, 2001.
  • J. W. Youdas, J. R. Carey, & T. R. Garrett, “Reliability of measurements of cervical spine range of motion—comparison of three methods”, Physical Therapy, 71(2). 98-104, 1991.

Uyarlanabilir Gezinme Yapılarının E-Sağlık Uygulamalarına Uyumu

Year 2024, Volume: 17 Issue: 1, 23 - 30, 31.01.2024
https://doi.org/10.17671/gazibtd.1264449

Abstract

Çevrimiçi uyarlanabilir gezinme ortamlarına yönelik ilkelerin e-sağlık uygulamalarına uyumu ve düzenlenmesi amacıyla gerçekleştirilen çalışmada, nitel ve nicel araştırma yaklaşımlarının işe koşulduğu yapılandırılmış çevrimiçi Delphi Tekniğinden faydalanılmıştır. Uzmanların çalışmaya katılımı ile ilgili onayları sonrasında başlatılan Delphi sürecinde tek bir soru kağıdında nitel ve nicel veriler eşzamanlı olarak toplanarak veri çeşitlemesi yapılmıştır. Elde edilen veriler ve bu verilerin değerlendirilmesi ile elde edilen sonuçların uzmanlara sunumu şeklinde tekrarlanan süreç uzmanların uzlaşıya ulaşmalarıyla son bulmuştur. Çalışmanın ilk turu sonucunda uzmanların gezinmenin uyarlanmasına yönelik ilkeleri yapısal olarak uygun bulduğu belirlenmiştir. Ancak, çevrimiçi öğrenme ortamlarına yönelik ilkelerin e-sağlık uygulamaları çerçevesinde yeniden yorumlanması gerekliliği uzmanlar tarafından bildirilmiştir. Uzman görüşleri doğrultusunda her turda yeniden şekillenen ilkeler üzerinde artık yeni fikirlerin üretilmediği, maddelere ilişkin tüm güçlü-zayıf yanların belirlendiği ve uzmanlardan herhangi bir görüş ya da önerinin gelmediği görülen üçüncü Delphi turunda çalışma sonlandırılmıştır. Çalışma sonucunda e-sağlık uygulamaları tasarımında gezinmenin uyarlanmasına yönelik tüm ilkeler üzerinde uzmanların uzlaşı sağladıkları ve edilen gözlemciler arası uyumun (ICC=.930) mükemmel düzeyde olduğu belirlenmiştir.

References

  • P. Kostkova, “Grand challenges in digital health”, Frontiers in Public Health, 3(134), 1-5, 2015.
  • U. H. Bittlingmayer, K. Dadaczynski, D. Sahrai, S. v. Broucke, O. Okan, “Digitale gesundheitskompetenz – konzeptionelle verortung, erfassung und förderung mit fokus auf kinder und jugendliche”, Bundesgesundheitsblatt- Gesundheitsforschung- Gesundheitsschutz, 63, 176-184, 2020.
  • A. Scheerder, A. van Deursen, J. van Dijk, “Determinants of Internet skills, use and outcomes: A systematic review of the second-and third-level digital divide”, Telematics and informatics, 34(8), 1607-1624, 2017.
  • K. Sørensen, J. M. Pelikan, F. Röthlin, K. Ganahl, Z. Slonska, G. Doyle, J. Fullam, B. Kondilis, D. Agrafiotis, E. Uiters, M. Falcon, M. Mensing, K. Tchamov, S. van den Broucke, H. Brand, HLS-EU Consortium, “Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU)”, European journal of public health, 25(6), 1053–1058, 2015.
  • A. Odone, S. Buttigieg, W. Ricciardi, N. Azzopardi-Muscat, A. Staines, “Public health digitalization in Europe”, European journal of public health, 29(Supplement_3), 28–35, 2019.
  • I. Kickbusch, D. Piselli, A. Agrawal, R. Balicer, O. Banner, M. Adelhardt, E. Capobianco, C. Fabian, A. Singh Gill, D. Lupton, R. P.Medhora, N. Ndili, A. Ryś, N. Sambuli, D. Settle, S. Swaminathan, J. V. Morales, M. Wolpert, A. W. Wyckoff, L. Xue, … Secretariat of the Lancet and Financial Times Commission, “The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world”, Lancet (London, England), 398(10312), 1727–1776, 2021.
  • R. van Kessel, R. Hrzic, E. O'Nuallain, E. Weir, B.L.H. Wong, M. Anderson, S Baron-Cohen, E. Mossialos, “Digital Health Paradox: International Policy Perspectives to Address Increased Health Inequalities for People Living With Disabilities”, J Med Internet Res. 24(2):e33819, 2022.
  • P. Brusilovsky, “Adaptive and intelligent technologies for web-based education”, Künstliche Intelligenz, 13, 19-25, 1999.
  • P. Brusilovsky, “Adaptive navigation support in educational hypermedia: The role of student knowledge level and the case for meta-adaptation”, British Journal of Educational Technology, 34(4), 487-497, 2003.
  • P. Brusilovsky, C. Peylo, “Adaptive and intelligent web-based educational systems”, International Journal of Artificial Intelligence in Education, 13(2), 156-169, 2003.
  • C. M. Reigeluth, “A new paradigm of ISD?” Educational Technology & Society, 36(3), 13-20, 1996.
  • S. Somyürek, Uyarlanabilir Eğitsel Web Ortamlarının Öğrencilerin Akademik Başarısına ve Gezinmesine Etkisi (Yayınlanmamış Doktora tezi), Gazi Üniversitesi, Eğitim Bilimleri Enstitüsü, Ankara, 2008.
  • C.-M. Chen, “Personalized e-learning system with self-regulated learning assisted mechanisms for promoting learning performance”, Expert Systems with Applications, 36, 8816–8829. 2009.
  • P. Brusilovsky, & L. Pesin, “An intelligent learning environment for CDS/ISIS users”, In J.J Levonen and M.T Tukianinen. (Eds.), Proceedings of the interdisciplinary workshop on complex learning in computer environments (CLCE94) (29-33). Joensuu, Finland, May 16-19, 1994.
  • P. De Bra, “Adaptive Hypermedia on the Web: Methods, techniques and applications, Proceeedings of the AACE WebNet'98 (220-225), Orlando, Florida, USA, November 7-12, 1998.
  • E. K. Çakmak, “Çoklu Ortamlarda Dar Boğaz: Aşırı Bilişsel Yüklenme”, Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 27(2), 1-24, 2007.
  • A. E. Kılıç, Ö. G. Ş. Karadeniz, “Hiper Ortamlarda Öğrencilerin Bilişsel Yüklenme ve Kaybolma Düzeylerinin Belirlenmesi” Kuram ve Uygulamada Eğitim Yönetimi, 40(40), 562-579, 2004.
  • T. Murray, “Characteristics and affordances of adaptive hyperbooks”, Proceedings of WebNet 2001, Orlando, FL, USA, October 23-27, 2001.
  • J. Q. Young, J. V. Merrienboer, S. Durning, O. Ten Cate, “Cognitive Load Theory: Implications for medical education: AMEE Guide No. 86”, Medical Teacher, 36(5), 371-384, 2014.
  • S. McDonald, & R. J. Stevenson, “Disorientation in hypertext: the effects of three text structures on navigating performance”, Applied Ergonomics, 27(1), 61-68, 1996.
  • E. Cuddihy, K. A. Mobrand, J. H. Spyridakis, “Web page previews: effect on comprehension, user perceptions, and site exploration”, Journal of Information Science, 38(2), 103–117, 2012.
  • K. A. Lawless, P. G. Schrader, H. J. Mayall, “Acquisition of information online: Knowledge, navigation and learning outcomes”, Journal of Literacy Research, 39(3), 289–306, 2007.
  • L. Salmerón, W. Kintsch, J. J. Cañas, “Reading strategies and prior knowledge in learning from hypertext”, Memory & Cognition, 34(5), 1157–1171, 2006.
  • A. Hansen, M. Herrmann, J. P. Ehlers, T. Mondritzki, K. O. Hensel, H. Truebel, P. Boehme, “Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study”, JMIR public health and surveillance, 5(4), e14689, 2019.
  • L. Çetinkaya, Uyarlanabilir eğitsel içerikli web ortamlarının tasarım ilkeleri (Yayınlanmamış doktora tezi), Ankara Üniversitesi, Eğitim Bilimleri Enstitüsü, Ankara, 2013.
  • A. L. Delbecq, A. H. Van de Ven, D. H. Gustafson, Group techniques for program planning: A guide to nominal group and Delphi processes, Scott, Foresman & Company, 1975.
  • M. Fry, G. Burr, “Using the Delphi tecnique to design a self reporting triage survey tool”, Accident and Emergency Nursing, 9(4), 235- 241, 2001.
  • W. Alexander, R. Serfass, Futuring tools for strategic quality planning in education, Milwaukee, WI: American Society for Quality Press, 1999.
  • T. Hatcher, S. Colton, “Using the internet to improve HRD research: The case of the web-based Delphi research technique to achieve content validity of an HRD-oriented measurement”, Journal of European Industrial Training, 31(7), 570-587, 2007.
  • J. A. Maxwell, Qualitative research design: An interpretative approach, Thousand Oaks, CA: Sage, 1996.
  • A. Tashakkori, C. B. Teddlie, Handbook of mixed methods in social and behavioral research, Thousand Oaks, CA: Sage, 2003.
  • H. A. Shah, & T. S. Tillman, “An international delphi study to build a foundation for an undergraduate level lean manufacturing curriculum”, International Transaction Journal of Engineering, Management & Applied Sciences & Technologies, 9(3), 521-530, 2011.
  • K. L. Gwet, Handbook of inter-rater reliability, Gaithersburg: StatAxis Publishing, 2001.
  • J. W. Youdas, J. R. Carey, & T. R. Garrett, “Reliability of measurements of cervical spine range of motion—comparison of three methods”, Physical Therapy, 71(2). 98-104, 1991.
There are 34 citations in total.

Details

Primary Language Turkish
Subjects Computer Software
Journal Section Articles
Authors

Levent Çetinkaya 0000-0002-0167-4846

Hafize Keser 0000-0001-5153-5492

Publication Date January 31, 2024
Submission Date March 13, 2023
Published in Issue Year 2024 Volume: 17 Issue: 1

Cite

APA Çetinkaya, L., & Keser, H. (2024). Uyarlanabilir Gezinme Yapılarının E-Sağlık Uygulamalarına Uyumu. Bilişim Teknolojileri Dergisi, 17(1), 23-30. https://doi.org/10.17671/gazibtd.1264449