Summary

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published: December 09, 2022
doi:

Summary

Here, we present a protocol for the behavioral analysis of a project-based learning methodology for health sciences students (20-56 years old). The protocol facilitates the comparison of the participants’ performance in e-Learning versus blended-Learning (b-Learning) through a monitoring tool. The results are analyzed using Educational Data Mining and qualitative techniques.

Abstract

Academic leaders all over the world are encouraging the use of active methodologies in teaching, especially in higher education. The reason for this is that social changes are happening at an ever-increasing rate, and they require students and teachers to develop digital skills. This is especially significant for health sciences degrees, in which future graduates must have effective problem-solving skills. To respond to this challenge, the use of a project-based learning (PBL) methodology, together with various monitoring techniques based on the use of Educational Data Mining (EDM) and mixed methods, will provide teachers with information about the effectiveness of the methodology and guide the implementation of personalized educational responses.

This study provides a protocol for the application of the PBL methodology in e-Learning and blended-Learning (b-Learning) teaching modalities for health sciences students studying occupational therapy in higher education. In addition, statistical techniques for the analysis of covariance and unsupervised learning allow differences to be detected between the two teaching modalities, thus specifying their effectiveness in terms of a range of variables related to behavioral patterns, performance, and satisfaction. Data visualization also helps in understanding the qualitative aspects of the learning process. These data will help teachers to produce more effective proposals for the implementation of the PBL methodology based on the based on the context of the teaching-learning process. Therefore, this protocol offers many resources and materials to help teachers implement the PBL methodology in e-Learning and b-Learning teaching methods.

Introduction

Characteristics of the project-based learning methodology
Nowadays, professionals in various sectors face numerous (technical, sociopolitical, and economic) challenges arising from globalization in a variety of spheres, such as the environment1. These issues influence the global spread of diseases, thus diminishing resources, increasing poverty, and necessitating the responsibility to create sustainable societies1. Health experts have the potential and the skills to ensure the viability of communities by advancing care strategies and techniques on a large scale while contributing to the improvement of people's quality of life2. The United Nations has highlighted the need to address these challenges with the active participation of all countries in its Sustainable Development Goals (SDGs) 1. Health professionals' activities can be linked to many of the proposed goals. Therefore, those who train healthcare students must acquire pedagogical approaches that help students to gain the competencies that will allow them to face these new challenges1,2.

Among the various existing pedagogical methodologies, project-based learning (PBL)3 stands out as a methodology that helps students develop the competencies they will need to safely and effectively deal with the future challenges of their professions3. PBL is an innovative pedagogical approach that overcomes the limitations of traditional methodologies by transforming the teaching-learning process to make students the protagonists of their own learning. This change helps students acquire problem-solving skills in real-life contexts4. PBL is based on the teacher producing research questions5 that are included in practical scenarios related to the discipline. The students have to solve the problems in collaborative groups. The final objective is the acquisition of knowledge (conceptual, procedural, and attitudinal) through group work in the resolution of the task or problem6.

This approach originated in the fields of education and constructivist psychology, and from those beginnings, it has been adapted to different disciplines6. However, implementing this methodology can be affected by a lack of educational resources and infrastructure, and because of this, a hybrid model is sometimes used that combines traditional teaching with PBL7,8. However, these models have exhibited limitations in the learning experience1. For this reason, it is important to develop pedagogical protocols that guide and facilitate the use and interpretation of these methodologies. In addition, in recent years, the PBL methodology has been implemented through virtual learning platforms – Learning Management Systems (LMS)9 - in what is called Online Project-Based Learning (OPBL)10.

Project-based learning methodology for university students in the health sciences field
The protocol is important for helping teachers to apply these methodologies and interpret the results arising from the teaching and learning process9. The protocol can be used from the beginning of schooling to higher education and can be tailored to different mental, physical, and socioeconomic conditions11. The presented protocol focuses on working with university students in the health sciences. The teaching model is based on organizing learning around projects prepared by the teacher, who serves as an initial stimulus, and from this framework, the student becomes the main focus of their own learning11. The approach is an active, comprehensive, and constructive way for students to acquire basic competencies (conceptual, procedural, and attitudinal) that are closely related to their future professional practice4,12.

Learning methods are combined to stimulate the acquisition of cognitive and metacognitive competencies related to conceptual and procedural knowledge4,13,14, all of which contribute to students developing critical thinking, increased motivation toward learning, and autonomy in decision-making and problem-solving13. However, one of the keys to the successful application of this methodology is that the projects the teacher prepares must be directly related to real practice, and the students must be given autonomy in how they approach the problems based on minimum initial guidelines4,9. This means that the teachers need to clearly define the tools for evaluating the students' competencies and to give them guidance about the evaluation criteria that will be used to shape the PBL, as well as to assess how well the evaluation is done15,16. Furthermore, students benefit from collaborating with their peers to learn to argue and be assertive through debate, thus developing communication and teamwork skills4,16.

The main aim for university students is to "learn to learn" by dealing with the challenges the teacher sets to facilitate the acquisition of these competencies14 (which will later be implemented in the future working lives of the students). The results of using this methodology indicate that it encourages autonomy in learning and solving practical problems4. An added advantage of this methodology is that it is very effective in helping students acquire competencies, specifically in health sciences, in online teaching and blended-Learning (b-Learning)17,18,19. This has become especially important due to the COVID-19 pandemic20,21.

The common elements of PBL can be summed up as follows: (1) first, the concepts related to the project are explained to the students (in online teaching environments, flipped learning experiences can be used); (2) the project plan is defined and analyzed; (3) a review of the supporting theory is carried out, and a plan is drawn up to help understand the object of study; (4) objectives and questions are proposed for addressing the problem; (5) possible solutions are formulated, and the most viable options are evaluated; (6) these solutions are implemented; (7) the results are reported; (8) critical reflection is conducted, feedback is provided, and the process is evaluated, including suggesting new questions; and (9) the process is finished by presenting the work4,6,13.

It should also be kept in mind that not all students respond in the same way to this type of methodology. Students who are more actively involved in their learning, those who are more critical thinkers, and those who have better interpersonal relationship skills tend to achieve better results22. It is also possible that students who are used to traditional learning methodologies may feel frustrated. This is why students should be given clear working rules and a timetable for the implementation of the project phases from the beginning8. As noted above, PBL has been widely used within health sciences degrees, and there is extensive evidence supporting it in the literature18,23,24. However, some aspects that could be improved have been identified, which are related to clinical skills seminars and the dissemination of experience in the scientific community25,26.

This methodology seems to have better results for degrees with a higher proportion of internships (for example, nursing vs. medicine, occupational therapy versus psychology or nutrition)3. In addition, recent studies have suggested implementing PBL methodology through joint training projects between different degrees to work on interaction in real contexts. The objective would be the acquisition of multidisciplinary and interdisciplinary competencies27,28. However, to implement this type of methodology well, the teaching staff must be qualified to implement it, and the students must develop critical and divergent thinking with respect to clinical practice, especially in the case of health sciences3,15,18,29.

Another important aspect of the implementation is the need to evaluate student satisfaction with the PBL methodology training and analyze their ideas for improvement19,30,31. More specifically, it has been reported that occupational therapy students have found this methodology essential for their learning as it allows them to learn how to solve similar problems to those they will face in their professional lives, which enhances their motivation31. Similarly, a longitudinal study that began in 1993-in which a hybrid model of PBL was evaluated in occupational therapy students-demonstrated that the students had very positive opinions of group learning for their future professional practice7. Another study on occupational therapy students found a high degree of satisfaction with the methodology. This is because students think that this way of learning helps them acquire knowledge through practice and enables them to respond appropriately in their future work13.

In summary, using the PBL methodology in health sciences courses is key to students' acquisition of professional competencies. Various studies have indicated the steps to follow to prioritize the interventions and the design of the materials to achieve effective, satisfactory learning. Therefore, it is very important to monitor students' learning processes to detect early or potential problems with learning and address them. Educational Data Mining (EDM) and mixed-methods analysis techniques should be used for monitoring, the essential fundamentals of which are discussed below.

Educational Data Mining techniques
When LMSs are used in either e-Learning or b-Learning teaching models, a series of logs or log files are generated that capture each of the student and teacher interactions. These logs are evidence of the learning behaviors and can be analyzed using EDM or Learning Analytics (LA)32 techniques. These techniques allow the teacher to learn what student interaction exists, how much interaction exists, and what is the quality of the interaction33. In particular, EDM techniques make it easier to discover students' learning behavior patterns and their interactions4. EDM techniques can be used to study different profiles35,36 (oriented toward students or oriented toward educators).

The final objective is to provide feedback for the instruction, evaluate the course content structure, analyze elements that have been effective in the learning processes, classify the type of students, and identify needs for the guidance and monitoring of learning. This helps in determining each student's most common learning patterns and the frequency of errors, which can then be used to tailor the most appropriate educational responses. One of the things that EDM techniques can be used for is monitoring students' learning processes to offer appropriate help via mentoring. EDM techniques include supervised learning techniques (prediction or classification techniques)37 and unsupervised learning techniques36 (clustering techniques)38. Using EDM techniques in teaching processes that include active teaching methodologies, such as PBL, has been shown to be very effective for studying individual student behavior and student behavior in collaborative groups10.

The application of computer-assisted qualitative analysis techniques
In the last two decades, quantitative and qualitative techniques, or a combination of the two, have been applied in research in what has been called mixed methods39. The use of mixed methods for data analysis is especially useful when dealing with complex problems of analysis, such as monitoring students' learning behaviors. The use of these methods allows for the transformation of qualitative data, such as student feedback from open-ended questions in a survey, into qualitative data, and the analysis of the data with different data visualization techniques40. A variety of computer-assisted (or -aided) qualitative data analysis software (CAQDAS) can be used to facilitate data transformation and analysis41.

A summary of the procedure for teaching through the PBL methodology, the analysis of learning behaviors, the use of EDM, and computer-based qualitative analysis techniques is shown in Figure 1.

Figure 1
Figure 1: PBL work and the use of EDM and computer-based qualitative analysis techniques. Data collection and processing applying EDM and text mining techniques in e-Learning and b-Learning teaching environments. Abbreviations: PBL = project-based learning; EDM = Educational Data Mining; DB = database; e-Learning = online classes; b-Learning = blended classes (online and physical classes). Please click here to view a larger version of this figure.

Three research questions were posed in this study: RQ1: Are there significant differences in the learning outcomes and satisfaction of health sciences students studying occupational therapy depending on whether the PBL methodology is implemented via e-Learning versus b-Learning, considering the effects of students' prior knowledge? RQ2: Do the clusters of participants found match the learning outcomes, learning behaviors, and perceived satisfaction as a function of teaching modality (e-Learning vs. b-Learning)? RQ3: Are the students' suggestions for the improvement of the PBL methodology different depending on the teaching modality, e-Learning versus b-Learning?

The following protocol can be used by teachers in healthcare and can also be modified to work with students in other knowledge areas.

Protocol

This protocol was executed in compliance with the procedural regulations of the Bioethics Committee of the University of Burgos (Spain) number IO 03/2022. Before participating, the respondents were made fully aware of the research objectives and provided their informed consent. They received no financial compensation for their participation. 1. Participant recruitment Recruit adult participants aged between 20 years old and 56 years old from two groups (students an…

Representative Results

The 98 participants recruited for the present study were undergraduate occupational therapy students aged between 21 years old and 56 years old (Table 1). The protocol was tested over 2 academic years at the University of Burgos. The delivery of the protocol is summarized in Table 4. Table 4: Summary of the application of the protocol for project-based learning for university students. Abbreviation: LMS = Learning Management Systems. <a href="…

Discussion

This study leads to the conclusion that the teaching modality (e-Learning vs. b-Learning) may affect the results in different elements of PBL17,18. In future studies, this aspect will be explored in greater depth to see if the same pattern is found with students from other (particularly health sciences) courses, since this is the subject of this protocol. In contrast, no differences were found in the total learning outcomes or in student satisfaction with the tea…

Disclosures

The authors have nothing to disclose.

Acknowledgements

The study was carried out as part of the research project "SmartLearnUni", funded by the Spanish Ministry of Science and Innovation 2020 I+D+i Projects – RTI Type B. Reference: PID2020-117111RB-I00. The authors also gratefully acknowledge the collaboration of the health sciences students at the University of Burgos, especially the students studying for their Occupational Therapy and Nursing degrees.

Materials

Atlas.ti v.9 Atlas.ti
Orange v. 3.30 Orange
SPSS v.24 SPSS
UBUVirtual UBU

References

  1. Mann, L., et al. et al. problem-based learning to practice-based education: A framework for shaping future engineers. European Journal of Engineering Education. 46 (1), 27-47 (2021).
  2. Alonso Martínez, L., Puente Alcaraz, J. The importance of global health in nursing, what do we know. Nursing Index. 29 (3), 160-164 (2020).
  3. enyuva, E., Kaya, H., Bodur, G. Effect social skills of nursing students of the project based teaching methods. Florence Nightingale Journal of Nursing. 23 (2), 116-125 (2014).
  4. Sáez López, J. M. Estilos de Aprendizaje y Métodos de Enseñanza [Learning Styles and Teaching Methods]. Universidad Nacional de Educación a Distancia – UNED. , 35-56 (2018).
  5. Holm, M. Project-based instruction: A review of the literature on effectiveness in prekindergarten through 12th grade classrooms. InSight: Rivier Academic Journal. 7 (2), 1-13 (2011).
  6. Kokotsaki, D., Menzies, V., Wiggins, A. Project-based learning: A review of the literature. Improving Schools. 19 (3), 267-277 (2016).
  7. Jay, J. Problem based learning-A review of students’ perceptions in an occupational therapy undergraduate curriculum. South African Journal of Occupational Therapy. 44 (1), 56-61 (2014).
  8. Fortune, T., et al. Transformative learning through international project-based learning in the global south: Applying a students-as-partners lens to a "high-impact" Capstone. Journal of Studies in International Education. 23 (1), 49-65 (2019).
  9. Sáiz-Manzanares, M. C., et al. Teaching and learning styles in Moodle: An analysis of effectiveness of use in STEM and Non-STEM qualifications from a gender perspective. Sustainability. 13 (3), 1166 (2021).
  10. Sáiz-Manzanares, M. C., et al. Improve teaching with modalities and collaborative groups in an LMS: An analysis of monitoring using visualisation techniques. Journal of Computing in Higher Education. 33, 747-778 (2021).
  11. Yazici, H. J. Project-based learning for teaching business analytics in the undergraduate curriculum. Decision Sciences Journal of Innovative Education. 18 (4), 589-611 (2020).
  12. Sáiz-Manzanares, M. C., Garcia-Osorio, C. I., Díez-Pastor, J. F. Differential efficacy of the resources used in b-learning environments. Psicothema. 31 (2), 170-178 (2019).
  13. Sáiz-Manzanares, M. C. . E-Project Based Learning in Occupational Therapy: An Application in the Subject "Estimulación Temprana&#34. , 15-250 (2018).
  14. Sáiz-Manzanares, M. C., Marticorena, R., García-Osorio, C. I., Díez-Pastor, J. F. How do b-learning and learning patterns influence learning outcomes. Frontiers in Psychology. 8, 745 (2017).
  15. Chen, C. H., Yang, Y. C. Revisiting the effects of project-based learning on students’ academic achievement: A meta-analysis investigating moderators. Educational Research Review. 26, 71-81 (2019).
  16. Spikol, D., Ruffaldi, E., Dabisias, G., Cukurova, M. Supervised machine learning in multimodal learning analytics for estimating success in project-based learning. Journal of Computer Assisted Learning. 34 (4), 366-377 (2018).
  17. Guo, P., Saab, N., Post, L. S., Admiraal, W. A review of project-based learning in higher education: Student outcomes and measures. International Journal of Educational Research. 102, 101586 (2020).
  18. Almulla, M. A. The effectiveness of the project-based learning (PBL) approach as a way to engage students in learning. SAGE Open. 10 (3), (2020).
  19. Sáiz-Manzanares, M. C., Escolar-Llamazares, M. C., Arnaiz, &. #. 1. 9. 3. ;. Effectiveness of blended learning in nursing education. International Journal of Environmental Research and Public Health. 17 (5), 1589 (2020).
  20. Sáiz-Manzanares, M. C., Marticorena-Sanchez, R., Ochoa-Orihuel, J. Effectiveness of using voice assistants in learning: A study at the time of COVID-19. International Journal of Environmental Research and Public Health. 17 (15), 5618 (2020).
  21. Simonton, K. L., Layne, T. E., Irwin, C. C. Project-based learning and its potential in physical education: an instructional model inquiry. Curriculum Studies in Health and Physical Education. 12 (1), 36-52 (2021).
  22. Yadav, R. L., et al. Attitude and perception of undergraduate medical students toward the problem-based learning in Chitwan Medical College, Nepal. Advances in Medical Education and Practice. 9, 317-322 (2018).
  23. Brinkman, D. J., et al. Switching from a traditional undergraduate programme in (clinical) pharmacology and therapeutics to a problem-based learning programme. European Journal of Clinical Pharmacology. 77 (3), 421-429 (2021).
  24. de la Puente-Pacheco, M. A., Guerra-Florez, D., de Oro-Aguado, C. M., Llinas-Solano, H. Does project-based learning work in different local contexts? A Colombian Caribbean case study. Educational Review. 73 (6), 733-752 (2019).
  25. Cavicchia, M. L., Cusumano, A. M., Bottino, D. V. Problem-based learning implementation in a health sciences blended-learning program in Argentina. International Journal of Medical Education. 9, 45-47 (2018).
  26. Wu, T. T., Huang, Y. M., Su, C. Y., Chang, L., Lu, Y. C. Application and analysis of a mobile E-Book system based on project-based learning in community health nursing practice courses. Journal of Educational Technology & Society. 21 (4), 143-156 (2018).
  27. Avrech Bar, M., et al. Problem-based learning in occupational therapy curriculum-implications and challenges. Disability and Rehabilitation. 40 (17), 2098-2104 (2018).
  28. DeFillippi, R., Milter, R. G., Armstrong, S. J., Fukami, C. V. Chapter 18: Problem-based and project-based learning approaches: Applying knowledge to authentic situations. The SAGE Handbook of Management Learning, Education and Development. , (2009).
  29. Theobald, K. A., Ramsbotham, J. Inquiry-based learning and clinical reasoning scaffolds: An action research project to support undergraduate students’ learning to ‘think like a nurse’. Nurse Education in Practice. 38, 59-65 (2019).
  30. AlHaqwi, A. I., et al. Problem-based learning in undergraduate medical education in Saudi Arabia: Time has come to reflect on the experience. Medical Teacher. 37 (1), S61-S66 (2015).
  31. Wright, S. L., Duncana, M. J., Savin-Badenb, M. Student perceptions and experiences of problem-based learning in first year undergraduate sports therapy. Journal of Hospitality, Leisure, Sport & Tourism Education. 17, 39-49 (2015).
  32. Baker, R. S., Inventado, P. S., Larusson, J. A., White, B. Chapter 4. Educational data mining and learning analytics. Learning Analytics: From Research to Practice. , 61-75 (2014).
  33. Yücel, &. #. 2. 2. 0. ;. A., Usluel, Y. K. Knowledge building and the quantity, content and quality of the interaction and participation of students in an online collaborative learning environment. Computers & Education. 97 (1), 31-48 (2016).
  34. Gibson, D., de Freitas, S. Exploratory analysis in learning analytics. Technology, Knowledge and Learning. 21 (1), 5-19 (2016).
  35. Romero, C., Ventura, S. Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications. 33 (1), 135-146 (2007).
  36. Romero, C., Espejo, P. G., Zafra, A., Romero, J. R., Ventura, S. Web usage mining for predicting final marks of students that use Moodle courses. Computer Applications in Engineering Education. 21 (1), 135-146 (2013).
  37. Arnaiz-González, &. #. 1. 9. 3. ;., Díez-Pastor, J. F., Rodríguez, J. J., García-Osorio, C. Instance selection for regression: Adapting DROP. Neurocomputing. 201 (12), 66-81 (2016).
  38. García, S., Luengo, J., Herrera, F. . Data Preprocessing in Data Mining, Volume 72 of Intelligent Systems Reference Library. , (2015).
  39. Verd Pericás, J. M. . Introducción a la investigación cualitativa [Introduction to qualitative research]. , 370 (2016).
  40. Castañer, M., Camerino, O., Anguera, M. T. Métodos mixtos en la investigación de las ciencias de la actividad física y el deporte. Apunts. Educación física y deportes. 2 (112), 31-36 (2013).
  41. . UBUMonitor: Monitoring of students on the Moodle platform Available from: https://github.com/yjx0003/ (2018)
  42. IBM Corp. SPSS Statistical Package for the Social Sciences (SPSS) (Version 24). IBM Corp. , (2016).
  43. Software Package. Orange Available from: https://orange.biolab.si/docs/ (2021)
  44. Software Package Qualitative Data Analysis (Version 9). Atlas.ti Available from: https://atlasti.com/es/ (2020)

Play Video

Cite This Article
Sáiz-Manzanares, M. C., Alonso-Martínez, L., Calvo Rodríguez, A., Martin, C. Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques. J. Vis. Exp. (190), e63601, doi:10.3791/63601 (2022).

View Video