Manual for the development of self-Regulated Virtual Laboratories

Authors

María Consuelo Sáiz Manzanares, Universidad de Burgos; Raúl Marticorena Sánchez, Universidad de Burgos; Elvira Mercado Val, Universidad de Burgos; Marko Txopitea García, Gestionet Multimedia, S.L.; Gabriela Munares Sánchez, Consultora Senior I+D+i e investigadora en Ciencias Sociales en Kveloce / Senior R&D&I Consultant and Social Science Researcher in Kveloce

Keywords:

Early care, virtual laboratories, self-regulated learning, Intelligent personal assistants, Eye tracking

Synopsis

This work includes materials aimed at training graduates and updating practising professionals in the framework of early intervention. It also integrates new biomedical engineering professionals. It contains information on the design and implementation of self-regulated virtual laboratories applied to the resolution of practical cases in early intervention. Also, it includes the use of chatbots, integrated multichannel eye tracking technology and data mining techniques. This work has been developed in the framework of the EU co-funded project eEarlyCare-T no. 2021-1-ES01-KA220-SCH-000032661. All materials have been tested by professionals from the participating institutions and external specialists.

DOI:  https://doi.org/10.36443/9788418465871 (Spanish version)

DOI:  https://doi.org/10.36443/9788418465888 (English version)

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Abstract 158

References

Alcantud-Marín, F., y Alonso-Esteban, Y. (2021). Estudiantes universitarios con trastornos del espectro del autismo revisión de sus necesidades y notas para su atención. Siglo Cero, 52(2), 83-100. https://doi.org/10.14201/scero202152283100

Anguas-Gracia, A., Subiron-Valera, A.B., Anton-Solanas, I., Rodríguez-Roca, B., Satústegui-Dorda, P.J., y Urcola-Pardo, F. (2021). An evaluation of undergraduate student nurses’ gameful experience while playing an escape room game as part of a community health nursing course. Nurse Education Today, 103, 104948. https://doi.org/10.1016/j.nedt.2021.104948

Azevedo, R., Bouchet, F., Duffy, M., Harley, J., Taub, M., Trevors, G., Cloude, E., Dever, D., Wiedbusch, M., Wortha, F., y Cerezo, R. (2022). Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System. Frontieres in Psychology, 13, 813632. https://doi.org/10.3389/fpsyg.2022.813632

Azevedo, R., y Gašević, D. (2019). Analyzing Multimodal Multichannel Data about Self-Regulated Learning with Advanced Learning Technologies: Issues and Challenges. Computers in Human Behavior, 19, 207-210. https://doi.org/10.1016/j.chb.2019.03.025

Brown, A., y DeLoache, J. (1978). Skills, plans and self-regulation. En R. Siegler (Eds.)., Children’s thinking: What develops? (pp. 3-35). Hillsdale, NJ: Erlbaum. https://doi.org/10.4324/9780203763087

Carrión-Toro, M., Santorum, M., Acosta-Vargas, P., Aguilar, J., y Pérez, M. (2020). iPlus a User-Centered Methodology for Serious Games Design. Applied Sciences, 10(24)9007. https://doi.org/10.3390/app10249007

Choi, J., Thompson, C.E., Choi, J., Waddill, C.B., y Choi, S. (2022). Effectiveness of immersive virtual reality in nursing education: systematic review. Nurse Educ., 47(3), E57-E61. https://doi.org/10.1097/NNE.0000000000001117

Churches, A. (2009). Taxonomía de Bloom para la era digital. https://eduteka.icesi.edu.co/pdfdir/TaxonomiaBloomDigital.pdf Recuperado de 10/08/2023

Diario Oficial de la Unión Europea. (2018). Recomendaciones del Consejo de 2 de mayo de 2018 relativa a las competencias clave para el aprendizaje permanente (2018/C 189/01).

Dignath, C., y Veenman, M.V.J. (2021). The Role of Direct Strategy Instruction and Indirect Activation of Self-Regulated Learning—Evidence from Classroom Observation Studies. Educ Psychol Rev, 33, 489–533. https://doi.org/10.1007/s10648-020-09534-0

Donnermann, M., Lein, M., Messingschlager, T., Riedmann, A., Schaper, P., Steinhaeusser, S., y Lugrin, B. (2021). Social robots and gamification for technology supported learning: An empirical study on engagement and motivation. Computers in Human Behavior, 121, 106792. https://doi.org/10.1016/j.chb.2021.106792

dos Reis Lívero, F.A., da Silva, G.R., Amaral, E.C. et al. (2021). Playfulness in the classroom: Gamification favor the learning of pharmacology. Educ Inf Technol, 26, 2125–2141. https://doi.org/10.1007/s10639-020-10350-w

Downer, T., Gray, M., y Capper, T. (2021). Online learning and teaching approaches used in midwifery programs: A scoping review. Nurse Education Today, 103, 104980. https://doi.org/10.1016/j.nedt.2021.104980

Felinska, E.A., Fuchs, T.E., Kogkas, A. et al. (2023). Telestration with augmented reality improves surgical performance through gaze guidance. Surgical Endoscopy, 37, 3557–3566. https://doi.org/10.1007/s00464-022-09859-7

García-Cabot, A., García-López, E., Caro-Alvaro, S., Gutierrez-Martínez, J-M., y de Marcos, L. (2020). Measuring the effects on learning performance and engagement with a gamified social platform in an MSc program. Computer Applications in Engineering Education, 28(1). https://doi.org/10.1002/cae.22186

Gatt, G., y Attard, N.J. (2023). Multimodal teaching methods for students in dentistry: a replacement for traditional teaching or a valuable addition? A three-year prospective cohort study. BMC Medical Education, 23(401) https://doi.org/10.1186/s12909-023-04377-z

Jamshidifarsani, H., Tamayo-Serrano, P., Garbaya, S., y Lim, T. (2021). A three-step model for the gamification of training and automaticity acquisition. J Comput Assist Learn, 37: 994–1014. https://doi.org/10.1111/jcal.12539

Jiménez-Hernández, E.M., Okataba, H., Díaz-Barriga, F., y Piattini, M. (2020). Using web‐based gamified software to learn Boolean algebra simplification in a blended learning setting. Comput Appl Eng Educ, 28, 1591-1611. https://doi.org/10.1002/cae.22335

Katebi, M. S., Ahmadi, A. A., Jahani, H., Mohalli, F., Rahimi, M., y Jafari, F. (2020). The effect of portfolio training and clinical evaluation method on the clinical competence of nursing students. Journal of Nursing and Midwifery Sciences, 7(4), 233. https://doi.org/10.4103/JNMS.JNMS_2_20

Ke, F., Dai, Z., Pachman, M., y Yuan, X. (2021). Exploring multiuser virtual teaching simulation as an alternative learning environment for student instructors. Instructional Science, 49(6), 831–854. https://doi.org/10.1007/s11251-021-09555-4

Kim, J., y Castelli, D.M. (2021). Effects of Gamification on Behavioral Change in Education: A Meta-Analysis. Int J Environ Res Public Health, 18(7), 3550. https://doi.org/10.3390/ijerph18073550

Massey, A., Zhang, W., y Amar, A. (2021). A comparison of non-traditional online and traditional wet-lab experiences in human anatomy and physiology: An innovative approach for pre-licensure nursing education. Nurse Education Today, 107, 105149. https://doi.org/10.1016/j.nedt.2021.105149

Mayer, C.W., y Rausch, A. (2023). Analysing domain‑specific problem‑solving processes within authentic computer‑based learning and training environments by using eye‑tracking: a scoping review. Empirical Research in Vocational Education and Training, 15(2). https://doi.org/10.1186/s40461-023-00140-2

Meichenbaum, D., y Goodman, J. (1969). The developmental control of operant motor responding by verbal operats. Journal of experimental Child Psychology, 7, 553-565. https://doi.org/10.1016/0022-0965(69)90016-2

Miechenbaum, D. y Goodman, J. (1971). Training impulsive children to talk to themselves: A means of developning self-control. Journal of Abnormal Psychology, 77, 115-126. https://doi.org/10.1037/h0030773

Mosalanejad, L., y Abdollahifar, S. (2019). Put Aside the Traditional Classroom and Use Effective Technology: Puzzles-Entertaining Ideas for Educating Psychiatric Diseases. Pakistan Journal of Medical & Health Sciences. https://doi.org/10.21203/rs.3.rs-3150206/v1

Nurmi, J., Knittle, K., Ginchev, T., Khattak, F., Helf, C., Zwickl, P., Castellano-Tejedor, C., Lusilla-Palacios, P., Costa-Requena, J., Ravaja, N., y Haukkala, A. (2020). Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR Mhealth Uhealth, 8(1), e12884. https://doi.org/10.2196/12884

Özbay, Ö., y Çınar, S. (2021). Effectiveness of flipped classroom teaching models in nursing education: A systematic review. Nurse Education Today, 102, 104922. https://doi.org/10.1016/j.nedt.2021.104922

Riveros, L.F.R., Zamora, V.R.J., Sanabria, J.E.S., y Tristancho, V.H.B. (2022). Development of a Clinical Simulator for Taking Arterial Gas Samples Based on Mixed Reality," 2022 Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (XV Technologies Applied to Electronics Teaching Conference), 2022, 1-6. https://doi.org/10.1109/TAEE54169.2022.9840664

Sáiz-Manzanares, M.C., Alonso-Martínez, L., Calvo-Rodríguez, A., y Martin, C. (2022a). Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques. Journal of Visualized Experiments, e63601. https://doi.org/10.3791/63601

Sáiz-Manzanares, M.C., Carrillo-Pérez, C., Escolar-Llamazares, M.C., Rodríguez-Arribas, S., y Serrano Gómez, D. (2022b). Nursing Students’ Perceived Satisfaction with Flipped Learning Experiences: A Mixed-Methods Study. Sustainability, 14, 23, 16074 https://doi.org/10.3390/su142316074

Sáiz-Manzanares, M. C., Marticorena-Sánchez, R., Díez-Pastor, J. F., y García-Osorio, C. I. (2019). Does the use of learning management systems with hypermedia mean improved student learning outcomes? Frontiers in Psychology, 10, 1-14. https://doi.org/10.3389/fpsyg.2019.00088

Sáiz-Manzanares, M.C., Marticorena-Sánchez, R., Rodríguez-Díez, J.J., Rodríguez-Arribas, S., y Díez-Pastor, J.F. (2021c). 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. https://doi.org/10.1007/s12528-021-09289-9

Sáiz-Manzanares, M.C., Marticorena-Sánchez, R., Martín-Antón, L.J., Almeida, L., y Carbonero-Martín, I. (2023a). Application and challenges of eye tracking technology in Higher Education. Comunicar, 76, 1-12. https://doi.org/10.3916/C76-2023-03

Sáiz-Manzanares, M.C., Marticorena-Sánchez, R., Martín-Antón, L.J., González-Diez, I., y Carbonero-Martín, I. (2023b). Using eye tracking technology to analyse cognitive load in multichannel activities in university students. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2023.2188532

Sáiz-Manzanares, M.C., Martin, C.F., Alonso-Martínez, L., y Almeida, L. (2021b). Usefulness of Digital Game-Based Learning in Nursing and Occupational Therapy Degrees: A Comparative Study at the University of Burgos. Int. J. Environ. Res. Public Health, 18, 11757. https://doi.org/10.3390/ijerph182211757

Silva, R., Rodrigues, R., y Leal, C. (2021). Games based learning in accounting education – which dimensions are the most relevant? Accounting Education, 30(2), 159-187. https://doi.org/10.1080/09639284.2021.1891107

Soboleva, E. V., Sabirova, E. G., Babieva, N. S., Sergeeva, M. G., y Torkunova, J. V. (2021). Formation of Computational Thinking Skills Using Computer Games in Teaching Mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 17(10), em2012. https://doi.org/10.29333/ejmste/11177

Tang, M., Zhou, H., Yan, Q., Li, R., y Lu, H. (2022). Virtual medical learning: a comprehensive study on the role of new technologies. Kybernetes, 51(4), 1532-1554. https://doi.org/10.1108/K-10-2020-0671

Taub, M., y Azevedo, R. (2019). How Does Prior Knowledge Influence Eye Fixations and Sequences of Cognitive and Metacognitive SRL Processes during Learning with an Intelligent Tutoring System?. Int J Artif Intell Educ, 29, 1–28. https://doi.org/10.1007/s40593-018-0165-4

Taub, M., Azevedo, R., Bradbury, A.E., Millar, G.C., y Lester, J. (2018). Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment. Learning and Instruction, 54, 93-103. https://doi.org/10.1016/j.learninstruc.2017.08.005

Taub, M., Azevedo, R., Rajendran, R., Cloude, E.B., Biswas, G., y Price, M.J. (2021). How are students’ emotions related to the accuracy of cognitive and metacognitive processes during learning with an intelligent tutoring system? Learning and Instruction, 72, 101200. https://doi.org/10.1016/j.learninstruc.2019.04.001

Taub, M., Mudrick, N.V., Azevedo, R., Millar, G.C., Rowe, J., y Lester, J. (2017). Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with CRYSTAL ISLAND. Computers in Human Behavior, 76, 641e655. http://dx.doi.org/10.1016/j.chb.2017.01.038

Taub, M., Sawyer, R., Lester, J., y Azevedo, R. (2020). The Impact of Contextualized Emotions on Self-Regulated Learning and Scientific Reasoning during Learning with a Game-Based Learning Environment. International Journal of Artificial Intelligence in Education, 30(1), 97–120. https://doi.org/10.1007/s40593-019-00191-1

Van der Stel, M., y Veenman, M. (2008). Relation between Intellectual Ability and Metacognitive Skillfulness as Predictors of Learning Performance of Young Students Performing Tasks in Different Domains. Learning and Individual Differences, 18, 128-134.

http://dx.doi.org/10.1016/j.lindif.2007.08.003

Veenman, M. V. J. (2015). Teaching for Metacognition. En J. D. Wright (Ed.), International Encyclopedia of the Social & Behavioral Sciences (Second Edition) (pp.89-95). Oxford: Elsevier https://doi.org/10.1016/B978-0-08-097086-8.92136-6

Veenman, M. V. J. (2017). Assessing Metacognitive Deficiencies and Effectively Instructing Metacognitive Skills. Teachers College Record, 119(13), 1-20. https://doi.org/10.1177/016146811711901303

Veenman, M. V. J., y Alexander, P. (2011). Learning to self-monitor and self-regulate. In R. Mayer y P. Alexander (Eds.), Handbook of research on learning and instruction (pp. 197–218). New York: Routledge. https://doi.org/10.4324/9781315736419

Veenman, M. V. J., van Hoult-Wolters, B. H. A. M., y Afflerbach, P. (2006). Metacognition and learning: conceptual and methodological con-siderations. Metacognition Learning, 3-14. https://doi.org/10.1007/s11409-006-6893-0

Veer, V., Phelps, C., y Moro, C. (2022). Incorporating Mixed Reality for Knowledge Retention in Physiology, Anatomy, Pathology, and Pharmacology Interdisciplinary Education: A Randomized Controlled Trial. Med.Sci.Educ, 32, 1579-1586. https://doi.org/10.1007/s40670-022-01635-5

Waghale, V., Gawande, U., Mahajan, G., y Kane, S. (2022). Virtual Patient Simulation- an Effective Key Tool for Medical Students Enhancing Diagnostic Skills. ECS Transactions, 107(1). https://doi.org/10.1149/10701.16191ecst

Wiedbusch, M.D., Kite, V., Yang, X., Park, S., Chi, M., Taub, M., y Azevedo, R. (2021). A Theoretical and Evidence-Based Conceptual Design of MetaDash: An Intelligent Teacher Dashboard to Support Teachers' Decision Making and Students’ Self-Regulated Learning. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.570229

Zimmerman, B. J., y Schunk, D. H. (2011). Self-regulated learning and performance: An introduction and an overview. In D. H. Schunk, B. Zimmerman (Eds.), Handbook of self-regulation of learning and performance (pp. 1–12). New York, US: Routledge/Taylor y Francis.

Zorrilla-Pantaleón, M.E., García-Saiz, D., de la Vega, A. (2021). Fostering study time outside class using gamification strategies: An experimental study at tertiary-level database courses. Comput Appl Eng Educ, 29, 1340–1357. https://doi.org/10.1002/cae.22389

Book cover "Manual for the development of self-Regulated Virtual Laboratories"

Published

July 17, 2024
Supporting Agencies
This work has been developed in the framework of the EU co-funded project eEarlyCare-T no. 2021-1-ES01-KA220-SCH-000032661

Details about the available publication format: Manual para la elaboración de laboratorios virtuales autorregulados (PDF)

Manual para la elaboración de laboratorios virtuales autorregulados (PDF)

ISBN-13 (15)

978-84-18465-87-1

Date of first publication (11)

2024-07-17

Details about the available publication format: Manual for the development of self-Regulated Virtual Laboratories (PDF)

Manual for the development of self-Regulated Virtual Laboratories (PDF)

ISBN-13 (15)

978-84-18465-88-8

Date of first publication (11)

2024-07-17