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Raising Teachers Empowerment in Gamification Design of Adaptive Learning Systems: A Qualitative Research

ABSTRACT: Despite the positive outcomes obtained through the application of gamification in the technology-enhanced learning context, previous studies have also reported unexpected results concerning students’ engagement, learning outcomes, and motivation in gamified learning systems. To increase the chances of obtaining positive results in this context, this article proposes a “gamification analytics model for teachers”. In this model, teachers are allowed to define interaction goals, monitor students’ interaction with the system’ learning resources and the gamification elements, and adapt the gamification design through missions to motivate disengaged students to achieve the interaction goals defined. However, the gamification analytics model-based design concepts that will be implemented to support the learning process should be well-planned to teachers’ needs. Hence, one of the contributions of this paper is the validation of twenty design concepts based on the gamification analytics model for teachers by using the speed dating method. Our results suggest that teachers judged useful/relevant visualize students’ interaction with gamification elements such as missions, levels to help them understand the students’ status, but did not evaluate the visualization of the interaction of students with trophies relevant. Teachers also highly evaluated the creation of personalized missions for a student or a specific group as relevant to help demotivated students to engage and achieve the desired goals. Therefore, this study provides some relevant insights to guide the design and re-design of gamified adaptive learning systems.

SUBMITTER: Bittencourt I

PROVIDER: S-EPMC7334171 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Project description:BackgroundCaregivers of children with developmental disabilities (DDs) in Ethiopia experience stigma and exclusion. Due to limited existing services and substantial barriers to accessing care, they often lack support. Caregiver empowerment could help address injustices that hinder their capacity to support their child as they would like. The aim of this study was to explore the meaning and potential role of empowerment for caregivers raising a child with a DD and how empowerment was situated in relation to other priorities in service development.MethodsThis was a qualitative phenomenological study. Semi-structured interviews were conducted in Amharic and English with caregivers of children with a DD (n = 15), clinicians (n = 11), community-based health extension workers (n = 5), representatives of non-governmental organisations working with families with DDs (n = 17), and representatives of local authorities in health, education, and social care (n = 15). Data were analysed thematically.ResultsThree main themes were developed: "Barriers to exercising caregivers' agency"; "Whose decision is it to initiate empowerment?"; and "Supporting caregivers through support groups". Caregiver capacity to do what they thought was best for their child was undermined by poverty, a sense of hopelessness, experience of domestic abuse and multiple burdens experienced by those who were single mothers. Caregivers were nonetheless active in seeking to bring about change for their children. Caregivers and professionals considered support groups to be instrumental in facilitating empowerment. Participants reflected that caregiver-focused interventions could contribute to increasing caregivers' capacity to exercise their agency. A tension existed between a focus on individualistic notions of empowerment from some professionals compared to a focus on recognising expertise by experience identified as vital by caregivers. Power dynamics in the context of external funding of empowerment programmes could paradoxically disempower.ConclusionCaregivers of children with DDs in Ethiopia are disempowered through poverty, stigma, and poor access to information and resources. Shifting power to caregivers and increasing their access to opportunities should be done on their own terms and in response to their prioritised needs.

Project description:BackgroundMachine learning (ML)-based clinical decision support systems (CDSS) are popular in clinical practice settings but are often criticized for being limited in usability, interpretability, and effectiveness. Evaluating the implementation of ML-based CDSS is critical to ensure CDSS is acceptable and useful to clinicians and helps them deliver high-quality health care. Malnutrition is a common and underdiagnosed condition among hospital patients, which can have serious adverse impacts. Early identification and treatment of malnutrition are important.ObjectiveThis study aims to evaluate the implementation of an ML tool, Malnutrition Universal Screening Tool (MUST)-Plus, that predicts hospital patients at high risk for malnutrition and identify best implementation practices applicable to this and other ML-based CDSS.MethodsWe conducted a qualitative postimplementation evaluation using in-depth interviews with registered dietitians (RDs) who use MUST-Plus output in their everyday work. After coding the data, we mapped emergent themes onto select domains of the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework.ResultsWe interviewed 17 of the 24 RDs approached (71%), representing 37% of those who use MUST-Plus output. Several themes emerged: (1) enhancements to the tool were made to improve accuracy and usability; (2) MUST-Plus helped identify patients that would not otherwise be seen; perceived usefulness was highest in the original site; (3) perceived accuracy varied by respondent and site; (4) RDs valued autonomy in prioritizing patients; (5) depth of tool understanding varied by hospital and level; (6) MUST-Plus was integrated into workflows and electronic health records; and (7) RDs expressed a desire to eventually have 1 automated screener.ConclusionsOur findings suggest that continuous involvement of stakeholders at new sites given staff turnover is vital to ensure buy-in. Qualitative research can help identify the potential bias of ML tools and should be widely used to ensure health equity. Ongoing collaboration among CDSS developers, data scientists, and clinical providers may help refine CDSS for optimal use and improve the acceptability of CDSS in the clinical context.

Project description:BackgroundThis study examines research knowledge infrastructures (RKIs) found in health systems. An RKI is defined as any instrument (i.e., programs, interventions, tools) implemented in order to facilitate access, dissemination, exchange, and/or use of evidence in healthcare organisations. Based on an environmental scan (17 key informant interviews) and scoping review (26 studies), we found support for a framework that we developed that outlines components that a health system can have in its RKI. The broad domains are climate for research use, research production, activities used to link research to action, and evaluation.The objective of the current study is to profile the RKI of three types of health system organisations--regional health authorities, primary care practices, and hospitals--in two Canadian provinces to determine the current mix of components these organisations have in their RKI, their experience with these components, and their views about future RKI initiatives.MethodsThis study will include semistructured telephone interviews with a purposive sample region of a senior management team member, library/resource centre manager, and a 'knowledge broker' in three regional health authorities, five or six purposively sampled hospitals, and five or six primary care practices in Ontario and Quebec, for a maximum of 71 interviewees. The interviews will explore (a) which RKI components have proven helpful, (b) barriers and facilitators in implementing RKI components, and (c) views about next steps in further development of RKIs.DiscussionThis is the first qualitative examination of potential RKI efforts that can increase the use of research evidence in health system decision making. We anticipate being able to identify broadly applicable insights about important next steps in building effective RKIs. Some of the identified RKI components may increase the use of research evidence by decision makers, which may then lead to more informed decisions.

Project description:ObjectiveThe Learning Health Systems Rehabilitation Research Network (LeaRRn), an NIH-funded rehabilitation research resource center, aims to advance the research capacity of learning health systems (LHSs) within the rehabilitation community. A needs assessment survey was administered to inform development of educational resources.MethodsThe online survey included 55 items addressing interest in and knowledge of 33 LHS research core competencies in 7 domains and additional items on respondent characteristics. Recruitment targeting rehabilitation researchers and health system collaborators was conducted by LeaRRn, LeaRRn health system partners, rehabilitation professional organizations, and research university program directors using email, listservs, and social media announcements.ResultsOf the 650 people who initiated the survey, 410 respondents constituted the study sample. Respondents indicated interest in LHS research and responded to at least 1 competency item and/or demographic question. Two-thirds of the study sample had doctoral research degrees, and one-third reported research as their profession. The most common clinical disciplines were physical therapy (38%), communication sciences and disorders (22%), and occupational therapy (10%). Across all 55 competency items, 95% of respondents expressed "a lot" or "some" interest in learning more, but only 19% reported "a lot" of knowledge. Respondents reported "a lot" of interest in a range of topics, including selecting outcome measures that are meaningful to patients (78%) and implementing research evidence in health systems (75%). "None" or "some" knowledge was reported most often in Systems Science areas such as understanding the interrelationships between financing, organization, delivery, and rehabilitation outcomes (93%) and assessing the extent to which research activities will improve the equity of health systems (93%).ConclusionResults from this large survey of the rehabilitation research community indicate strong interest in LHS research competencies and opportunities to advance skills and training.ImpactCompetencies where respondents indicated high interest and limited knowledge can inform development of LHS educational content that is most needed.

Project description:The closure of universities and schools interrupted learning outcomes and deprived students from growth and development opportunities as well as hindering their academic progress. Indeed, the COVID-19 Pandemic changed educational mechanism from traditional method to staying at home and virtual education globally. On the other hand, the educators and student particularly in developing countries faced shortage of necessary software and hardware infrastructures. Accordingly, introduction of virtual education along with some organizational and regional obstacles as well as poor planning caused low-quality online courses. Therefore, the present study extrapolated teachers' virtual education experiences during the COVID-19 pandemic. This qualitative study conducted on Iranian teachers using the conventional content analysis method in 2022. To do this, the targeted sampling method with maximum variation continued until data saturation. Hence, a total of 17 teachers (10 women and 7 men) included in the study. Data collected through five focus group discussions on the Sky room platform and two individual in-depth interviews. Male teachers had an average age of 44.42 years, while female ones had an average age of 47.80 years. The qualitative analysis categorized 22 themes as virtual education's pros and cons. Mental, physical, and social injuries; economic problems; insufficient virtual teaching skills; lack of virtual infrastructure; lack of motivation were identified as the main disadvantages of virtual education. Virtual education benefits included familiarity with modern science and education, time management, the durability of video and course topics, and not forcing students to attend class. Removing structural barriers (like creating a good platform for practical education and stopping new restrictive policies) and individual barriers (like economic and family problems, lack of motivation, psychological pressures, and occupational stress) could possibly improve virtual education. Virtual education should be different from face-to-face teaching because it can only meet some students' needs.

Project description:Purpose: Men with prostate cancer often describe low levels of empowerment. eHealth interventions may represent useful tools to deliver care and education and to meet patients' needs within an empowerment framework. In order to design a platform for cancer patients' empowerment within the H2020 iManageCancer project, the perspective of the target population for the platform was assessed. The present study aims to assess the qualitative experience of prostate cancer patients during treatment in order to provide insights for clinical practice with a particular focus on the design of a web platform to promote cancer patients' empowerment. Methods: Ten patients undergoing radiation therapy treatment took part in a semi-structured interview to explore different aspects of patient empowerment. Four main thematic areas were addressed: patient-healthcare providers' communication, decision-making, needs, and resources. A qualitative approach using thematic analysis was followed. Results: Half of the patients reported little to no possibility to share information and questions with healthcare providers. With regards to decision-making, the role of healthcare providers was perceived as directive/informative, but half of the patients perceived to assume an active role in at least one interaction. Difficulties and needs included the choice of the specialist or of the structure after diagnosis, clinicians' support in self-management, surgical consequences, and side effects, preparation for radiation therapy. Resources included family and social support both from a practical and from an emotional perspective, coping style, and work schedule management. Conclusions: These results suggest that relations with healthcare providers should be supported, especially immediately after diagnosis and after surgery. Support to self-management after surgery and at the beginning of radiation therapy treatment also constitutes a priority. The adoption of a personalized approach from the beginning of prostate cancer care flow may promote patient empowerment, overcoming the aforementioned needs and mobilizing resources. The social network represents an important resource that could be integrated in interventions. These considerations will be taken into account in the design of a cancer self-management platform aiming to increase patients' empowerment.

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Raising Teachers Empowerment in Gamification Design of Adaptive Learning Systems: A Qualitative Research

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