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Abstract: Background: Retention of adult basic life support (BLS) knowledge and skills after professional training declines over time.To combat this, the European Resuscitation Council and the American Heart Association recommend shorter, more frequent BLS sessions. Emphasizing technology-enhanced learning, such as mobile learning, aims to increase out-of-hospital cardiac arrest (OHCA) survival and is becoming more integral in nursing education. Objective: The aim of this study was to investigate whether playing a serious smartphone game called MOBICPR at home can improve and retain nursing students’ theoretical knowledge of and practical skills in adult BLS. Methods: This study used a randomized wait list–controlled design. Nursing students were randomly assigned in a 1:1 ratio to either a MOBICPR intervention group (MOBICPR-IG) or a wait-list control group (WL-CG), where the latter received the MOBICPR game 2 weeks after the MOBICPR-IG. The aim of the MOBICPR game is to engage participants in using smartphone gestures (eg, tapping) and actions (eg, talking) to perform evidence-based adult BLS on a virtual patient with OHCA. The participants’ theoretical knowledge of adult BLS was assessed using a questionnaire, while their practical skills were evaluated on cardiopulmonary resuscitation quality parameters using a manikin and a checklist. Results: In total, 43 nursing students participated in the study, 22 (51%) in MOBICPR-IG and 21 (49%) in WL-CG. There were differences between the MOBICPR-IG and the WL-CG in theoretical knowledge (P=.04) but not in practical skills (P=.45) after MOBICPR game playing at home. No difference was noted in the retention of participants’ theoretical knowledge and practical skills of adult BLS after a 2-week break from playing the MOBICPR game (P=.13). Key observations included challenges in response checks with a face-down manikin and a general neglect of safety protocols when using an automated external defibrillator. Conclusions: Playing the MOBICPR game at home has the greatest impact on improving the theoretical knowledge of adult BLS in nursing students but not their practical skills. Our findings underscore the importance of integrating diverse scenarios into adult BLS training.
Keywords: serious smartphone game, adult basic life support, teaching, games, gaming, education, nurses, nursing, educational, mHealth, mobile health, applications, smartphones, randomized controlled trial, technology-enhanced learning, life support, knowledge retention, practical
Published in DKUM: 27.11.2024; Views: 0; Downloads: 1
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Abstract: Reading and learning are changing rapidly in today's world, and educational systems sometimes fail to keep pace. To define the needs related to reading in the modern world, the Stavanger Declaration was written, stating that students should be taught online reading and learning strategies. Educators must also adapt to this. As part of the Learning, Teaching, and Training (LTT) activities, participants (21 individuals from different levels of education) were introduced to the Internet reciprocal teaching (IRT) method. The basis of this research was to find out whether we can empower educators to teach online reading, learning, and comprehension skills in a short training session using the ubiquitous topic of ecological problems as an example. We were also interested in whether a short program that empowers educators to use IRT in their classroom can influence teachers to develop students' digital literacy in their pedagogical work. The results show that the ecological issue, with its timeliness and universal presence in our lives, is an appropriate topic for educators to teach digital literacy. The participants were successful in solving the set tasks, and all of them answered that they would use the IRT method in their future pedagogical work.
Keywords: digital literacy, ecological problems, internet reciprocal teaching method, problem solving, teacher trening
Published in DKUM: 18.09.2024; Views: 0; Downloads: 3
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Abstract: This dataset contains a collection of teaching materials that were used in the HybridNeuro project webinar titled "Validation of results: statistical models and MU identification accuracy". The webinar was presented by Aleš Holobar and covered the complexities of motor unit (MU) identification accuracy, regression analysis and Bayesian models. The primary aim of the webinar was to spark a robust discussion within the scientific community, particularly focusing on the application and implications of linear mixed models and Bayesian regression in the realm of MU identification. The teaching materials include Matlab and R source code for statistical analysis of the included data, as well as three examples of MU identification results in CSV format (from both synthetic and experimental HDEMG signals). The presentation slides in PDF format are also included. The dataset is approximately 9 MB in size.
Keywords: HybridNeuro, webinar, teaching materials, statistical models, regression analysis, motor unit identification, matlab, rstudio, statistics, surface high density electromyogram (HDEMG), tibialis anterior, dataset
Published in DKUM: 30.05.2024; Views: 221; Downloads: 19
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Abstract: In the context of improving the quality of teacher education, the focus of the present work was to adapt the Mentoring for Effective Primary Science Teaching instrument to become more universal and have the potential to be used beyond the elementary science mentoring context. The adapted instrument was renamed the Mentoring for Effective Teaching Practicum Instrument. The new, validated instrument enables the assessment of trainee teachers' perceived experiences with their mentors during their two-week annual teaching practicum at elementary and high schools. In the first phase, the original 34-item Mentoring for Effective Primary Science Teaching instrument was expanded to 62 items with the addition of new items and items from the previous works. All items were rephrased to refer to contexts beyond primary science teaching. Based on responses on an expanded instrument received from 105 pre-service teachers, of whom 94 were females in their fourth year of study (approx. age 22-23 years), the instrument was reviewed and shortened to 36 items classified into six dimensions: personal attributes, system requirements, pedagogical knowledge, modelling, feedback, and Information and Communication Technology due to outcomes of Principal Component and Confirmatory Factor analyses. All six dimensions of the revised instrument are unidi-mensional, with Cronbach alphas above 0.8 and factor loadings of items above 0.6. Such an instrument could be used in follow-up studies and to improve learning outcomes of teaching practice. As such, specific and general recommendations for the mentee, mentors, university lecturers, and other stakeholders could be derived from the findings to encourage reflection and offer suggestions for the future.
Keywords: mentoring, teacher education, teaching practicum
Published in DKUM: 15.04.2024; Views: 217; Downloads: 19
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Keywords: teaching and learning, smart education systems, education and technology, ICT, artificial intelligence
Published in DKUM: 05.04.2024; Views: 307; Downloads: 21
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