Interactive Tool Research Articles

Examining the Effectiveness of Interactive Webtoons for Premature Birth Prevention: Protocol for a Randomized Controlled Trial.

Premature birth poses significant health challenges globally, impacting infants, families, and society. Despite recognition of its contributing factors, efforts to reduce its incidence have seen limited success. A notable gap exists in the awareness among women of childbearing age (WCA) regarding both the risks of premature birth and the preventative measures they can take. Research suggests that enhancing health beliefs and self-management efficacy in WCA could foster preventive health behaviors. Interactive webtoons offer an innovative, cost-effective avenue for delivering engaging, accessible health education aimed at preventing premature birth. This protocol describes a randomized controlled trial to assess the effectiveness and feasibility of a novel, self-guided, web-based intervention-Pregnancy Story I Didn't Know in Interactive Webtoon Series (PSIDK-iWebtoons)-designed to enhance self-management efficacy and promote behaviors preventing premature birth in WCA. Using an explanatory sequential mixed methods design, this study first conducts a quantitative analysis followed by a qualitative inquiry to evaluate outcomes and feasibility. Participants are randomly assigned to 2 groups: one accessing the PSIDK-iWebtoons and the other receiving Pregnancy Story I Didn't Know in Text-Based Information (PSIDK-Texts) over 3 weeks. We measure primary efficacy through the self-management self-efficacy scale for premature birth prevention (PBP), alongside secondary outcomes including perceptions of susceptibility, severity, benefits, and barriers based on the health belief model for PBP and PBP intention. Additional participant-reported outcomes are assessed at baseline, the postintervention time point, and the 4-week follow-up. The feasibility of the intervention is assessed after the end of the 3-week intervention period. Outcome analysis uses repeated measures ANOVA for quantitative data, while qualitative data are explored through content analysis of interviews with 30 participants. The study received funding in June 2021 and institutional review board approval in October 2023. Both the PSIDK-iWebtoons and PSIDK-Texts interventions have been developed and pilot-tested from July to November 2023, with the main phase of quantitative data collection running from November 2023 to March 2024. Qualitative data collection commenced in February 2024 and will conclude in May 2024. Ongoing analyses include process evaluation and data interpretation. This trial will lay foundational insights into the nexus of interactive web-based interventions and the improvement of knowledge and practices related to PBP among WCA. By demonstrating the efficacy and feasibility of a web-based, interactive educational tool, this study will contribute essential evidence to the discourse on accessible and scientifically robust digital platforms. Positive findings will underscore the importance of such interventions in fostering preventive health behaviors, thereby supporting community-wide efforts to mitigate the risk of premature births through informed self-management practices. Korea Disease Control and Prevention Agency (KDCA) KCT0008931; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=25857. DERR1-10.2196/58326.

DORA: an interactive map for the visualization and analysis of ancient human DNA and associated data.

The ability to sequence ancient genomes has revolutionized the way we study evolutionary history by providing access to the most important aspect of evolution-time. Until recently, studying human demography, ecology, biology, and history using population genomic inference relied on contemporary genomic datasets. Over the past decade, the availability of human ancient DNA (aDNA) has increased rapidly, almost doubling every year, opening the way for spatiotemporal studies of ancient human populations. However, the multidimensionality of aDNA, with genotypes having temporal, spatial and genomic coordinates, and integrating multiple sources of data, poses a challenge for developing meta-analyses pipelines. To address this challenge, we developed a publicly-available interactive tool, DORA, which integrates multiple data types, genomic and non-genomic, in a unified interface. This web-based tool enables browsing sample metadata alongside additional layers of information, such as population structure, climatic data, and unpublished samples. Users can perform analyses on genotypes of these samples, or export sample subsets for external analyses. DORA integrates analyses and visualizations in a single intuitive interface, resolving the technical issues of combining datasets from different sources and formats, and allowing researchers to focus on the scientific questions that can be addressed through analysis of aDNA datasets.

AI Chaperone: Awareness Chatbot for Alzheimer’s Disease

This project proposes the development of a RAG Chatbot tailored specifically to assist Alzheimer's patients in managing their memory abnormalities and providing them with answers to their queries. The chatbot utilizes state-of-the-art natural language processing techniques to understand and respond to patient inquiries, while leveraging RAG to enhance the relevance and accuracy of its responses.The primary goal of this project is to provide Alzheimer's patients with a supportive and interactive tool that can help mitigate the impact of memory impairment on their daily lives. It acts as an information resource, offering answers to common questions about Alzheimer's disease, treatment options, and lifestyle management strategies.Key features of the RAG Chatbot include personalized conversation histories to track patient interactions and preferences, adaptive dialogue generation to tailor responses to individual needs, and integration with existing healthcare systems for seamless coordination of care. Furthermore, the chatbot undergoes continuous improvement through machine learning algorithms that analyze patient feedback and update its knowledge base accordingly. Overall, the RAG Chatbot represents a promising advancement in Alzheimer's patient assistance, offering a scalable and accessible solution to support individuals living with memory disorders.

Preclinical side effect prediction through pathway engineering of protein interaction network models.

Modeling tools aim to predict potential drug side effects, although they suffer from imperfect performance. Specifically, protein-protein interaction models predict drug effects from proteins surrounding drug targets, but they tend to overpredict drug phenotypes and require well-defined pathway phenotypes. In this study, we used PathFX, a protein-protein interaction tool, to predict side effects for active ingredient-side effect pairs extracted from drug labels. We observed limited performance and defined new pathway phenotypes using pathway engineering strategies. We defined new pathway phenotypes using a network-based and gene expression-based approach. Overall, we discovered a trade-off between sensitivity and specificity values and demonstrated a way to limit overprediction for side effects with sufficient true positive examples. We compared our predictions to animal models and demonstrated similar performance metrics, suggesting that protein-protein interaction models do not need perfect evaluation metrics to be useful. Pathway engineering, through the inclusion of true positive examples and omics measurements, emerges as a promising approach to enhance the utility of protein interaction network models for drug effect prediction.

Профессионально-общественная аккредитация как инструмент взаимодействия сферы высшего образования и работодателей

The field of education today cannot develop as a closed system, without taking into account the request formulated by employers. The contradiction between the requirements of employers and the results provided by educational organizations is one of the reasons for the decline in the quality of training. It is obvious that the dialogue between the sphere of education and the sphere of work should be based on clear mutual obligations. In many countries, the National Qualifications System (hereinafter referred to as the NSC) is used as a tool that allows building such a dialogue. In our country, according to the 238-FZ “On the independent Assessment of Qualifications”, this is an independent assessment of qualifications, just its introduction into the employment relationship “employer – applicant” and leads to those serious changes in the field of education as a supplier of qualified personnel for the labor market. In this regard, the article attempts to assess the methodological impact of the process of implementing an independent assessment of qualifications on the field of higher education through the created interaction tools, which include professional standards and the procedure of professional and public accreditation, as a system for verifying the fulfillment of their requirements. After all, it is necessary to be able to correctly assess the degree of achievement of the requirements of professional standards when students master the relevant educational programs of the university, and to focus on achieving this goal the process of designing the educational trajectory of future graduates. Because it is from the competent fulfillment of this condition that in the end the demand for trained personnel in the labor market, and, therefore, the educational program itself, which is already beneficial to the educational organization, will hang.

Key success factors to implementing an active learning platform

This study reports on the key success factors when introducing a new lecture capture platform, Echo360 Active Learning Platform (ALP), at an Australian University. This is an interactive platform, designed to actively engage students in their courses including in lectures (online and/or face to face) through a range of interactive tools. A trial of ALP, which is known within the University as the Echo360 ALP Early Adopter Program, was conducted in Semester 2, 2016. The purpose of the Echo360 ALP Early Adopter Program was to identify the key success factors required for implementation of Echo360 ALP at the enterprise level. The study reports data on students’ experience of the interactive tools in Echo360 ALP. In total, over 1250 students, seven academics from across seven courses, Blended Learning Advisors from within each of the University’s four academic groups, and support staff participated in the Echo360 ALP Early Adopter Program. The results of the study show that students were engaged when using Echo360 ALP and with support from professional staff this program can be successfully implemented by academics. Thus, the key success factors to this implementation include the academics themselves and the support staff involved in the implementation. A further success factor was the vendor themselves.

Technical Blog

A blog is an online repository of experience, knowledge, and data that users post and share with other users in the form of text, video, or image files. Any experience, understanding, or knowledge that the user feels like sharing with other blog community members in order to disseminate information and other materials can be found on a blog website. He or she is free to publish anything they like, but they also have to abide by some regulations around disciplinary content that shouldn't be made obvious to other members of the community. Here "Build A Healthy and Interactive Community which will be on Benefit for Everyone" is our most essential motto. This project is an all-inclusive web portal offering a vast array of technical information topros, amateurs, and students alike. Using simple navigation and interactive tools, users can study articles, tutorials, and debates spanning a variety of technical subjects. Users may create, edit, and share insights with the help of content management systems, and strong user authentication and role-based access guarantee secure interactions. Thanks to robust search features and a lively community-driven environment, users can easily locate and engage with pertinent material. Using efficient moderating tools, administrators uphold the integrity of the platform, promoting a secure and cooperative atmosphere. With scalability, performance, and security as our top priorities, our TechBlog initiative aims to stimulate learning, make information sharing easier, and encourage creativity in the tech community

Engaging student analysis of the practitioner-patient relationship assessed with reflective outcomes.

The representations and beliefs of both patient and practitioner influence the relationship that develops between them. We developed an innovative, interactive teaching tool in two stages (1- interviews with the patient or healthcare practitioner and 2- a session with sharing of the patient's and practitioner's perspective) whose objectives are to recognize the basic characteristics of PPR and identify how it can be influenced by expectations, beliefs and emotions. This pedagogical device was particularly appreciated by the students, as it enabled them to identify the importance of the patient's point of view and to reflect on their future professional identity.

Conceptualising justice in transit-oriented development (TOD): towards an analytical framework

ABSTRACT Originally conceived to create dense, diverse and mixed-used communities that are inclusive and sustainable communities, Transit-oriented Development (“TOD”) has come under increasing academic scrutiny on its negative implications on equity and justice. However, these injustices are often examined case-by-case individually, which revealed the lack of a comprehensive framework that is grounded in justice concepts and theories for analysing justice in TOD. In this paper, we aim to show the importance of, and suggest a framework for, analysing justice in TOD holistically. We begin by taking a brief overview of key theories and concepts in process and outcome justice. Then, through a thematic review of justice-related TOD literature, we synthesised three main justice issues currently existing in TOD: transit-induced gentrification; neglect of livelihood and well-being of disadvantaged groups; and poor inclusion and representation of different stakeholders. These issues revealed the interconnectedness and importance of both process and outcome justices in TOD. As such, we formulated an analytical framework by adopting the Institutional Analysis and Development (“IAD”) model (a tool for understanding institutional interactions in public policies) to examine process justice; and the 5Ds of the built environment (namely Density, Diversity, Design, Destination Accessibility, and Distance to Transit) to examine outcome justice. In brief, for process justice, our framework advocates open, accessible and equitable particiaption by all interested stakeholders to be able to give views, exercise their power, obtain and share information, and make decisions collectively, with dedicated efforts to facilitate participation of more disadvantaged groups. For outcome justice, our framework calls for providing suitable and equitable built environments (in terms of 5Ds) in different neighbourhoods in a TOD, with special attention towards the needs of disadvantaged groups. The framework serves as general guidance for researchers and planners to analyse the justice implications of TOD (both ex-ante and ex-post) in a holistic and conceptually-grounded manner, with a view to better positioning justice issues and directing efforts towards more just TODs.

Successful Screening of Undiagnosed Psoriatic Arthritis in Primary Care Utilising Digital Interventions Within a Quality Improvement Programme

Background: Despite the advancements in the management of psoriasis (PsO) and psoriatic arthritis (PsA), there remains a significant delay to diagnosis of PsA. National guidelines recommend regular screening of patients with PsO for PsA. The aim of this study was to increase the screening of patients with PsO, and reduce the delay to diagnosis in PsA. Methods: A retrospective baseline audit was conducted in patients with PsO attending a large general practice (Brookside Group Practice, Reading, UK) between November 2022–April 2023. In the follow-up stage between May–November 2023, a digital Egton Medical Information System (EMIS; Emis Health, Rawdon, Leeds, UK) web template, using the Psoriasis Epidemiology Screening Tool (PEST) questionnaire was implemented. The number of patients with PsO screened for PsA, and the number of newly diagnosed PsA cases, were recorded. Results: At baseline, 15 patients with PsO were identified, and none had PsA screening done. In the follow-up phase, 28 patients coded for PsO were identified. There was an increase in the number of patients screened for PsO from 15 to 28, representing an increase of 87% from baseline. From the follow-up group, 12 (43%) patients were screened for PsA. These patients were referred to the specialist clinic, and seven (58%) had confirmed PsA. This represented a population of patients with previously undiagnosed PsA within the general practitioner (GP) surgery. Conclusions: The authors have successfully implemented an integrated and interactive digital screening tool for PsA within the GP system. This has led to an increase in the detection of patients with PsA. This practical and effective approach is in line with national guidelines for early detection, to prevent long-term damage and disability from PsA.

Successful Screening of Undiagnosed Psoriatic Arthritis in Primary Care Utilising Digital Interventions Within a Quality Improvement Programme

Background: Despite the advancements in the management of psoriasis (PsO) and psoriatic arthritis (PsA), there remains a significant delay to diagnosis of PsA. National guidelines recommend regular screening of patients with PsO for PsA. The aim of this study was to increase the screening of patients with PsO, and reduce the delay to diagnosis in PsA. Methods: A retrospective baseline audit was conducted in patients with PsO attending a large general practice (Brookside Group Practice, Reading, UK) between November 2022–April 2023. In the follow-up stage between May–November 2023, a digital Egton Medical Information System (EMIS; Emis Health, Rawdon, Leeds, UK) web template, using the Psoriasis Epidemiology Screening Tool (PEST) questionnaire was implemented. The number of patients with PsO screened for PsA, and the number of newly diagnosed PsA cases, were recorded. Results: At baseline, 15 patients with PsO were identified, and none had PsA screening done. In the follow-up phase, 28 patients coded for PsO were identified. There was an increase in the number of patients screened for PsO from 15 to 28, representing an increase of 87% from baseline. From the follow-up group, 12 (43%) patients were screened for PsA. These patients were referred to the specialist clinic, and seven (58%) had confirmed PsA. This represented a population of patients with previously undiagnosed PsA within the general practitioner (GP) surgery. Conclusions: The authors have successfully implemented an integrated and interactive digital screening tool for PsA within the GP system. This has led to an increase in the detection of patients with PsA. This practical and effective approach is in line with national guidelines for early detection, to prevent long-term damage and disability from PsA.

The NCBI Comparative Genome Viewer (CGV) is an interactive visualization tool for the analysis of whole-genome eukaryotic alignments.

We report a new visualization tool for analysis of whole-genome assembly-assembly alignments, the Comparative Genome Viewer (CGV) (https://ncbi.nlm.nih.gov/genome/cgv/). CGV visualizes pairwise same-species and cross-species alignments provided by National Center for Biotechnology Information (NCBI) using assembly alignment algorithms developed by us and others. Researchers can examine large structural differences spanning chromosomes, such as inversions or translocations. Users can also navigate to regions of interest, where they can detect and analyze smaller-scale deletions and rearrangements within specific chromosome or gene regions. RefSeq or user-provided gene annotation is displayed where available. CGV currently provides approximately 800 alignments from over 350 animal, plant, and fungal species. CGV and related NCBI viewers are undergoing active development to further meet needs of the research community in comparative genome visualization.

Developing Podcast-Based Learning Media for English Education Among Deaf Students

This study addresses the educational challenges faced by deaf students in Indonesia, focusing on developing and implementing a specialised Android-based application, "PODclusive," to facilitate English language learning. The research aimed to create an interactive learning tool that incorporates sign language and textual translations in both English and Indonesian, tailored to the needs of deaf learners. The methodology was a mixed-method approach, combining qualitative and quantitative analyses. The research and development (R&D) framework guided the application's design, development, and evaluation. Participants included a purposive sample of 30 deaf students from SLB N Pringsewu, ensuring a representation across different learning outcomes. The findings revealed that the PODclusive application significantly enhanced the learning experience for deaf students. Students demonstrated improved comprehension of English language concepts, facilitated by the application’s use of sign language video content and offline accessibility. The application was evaluated through expert reviews and user testing, receiving high validity scores for content, design, and educational impact. The implications of this study underscore the effectiveness of tailored educational technologies in addressing specific learning needs. The PODclusive application exemplifies how digital tools can enhance accessibility and engagement for deaf students, suggesting that further exploring similar technologies could be beneficial. This research contributes to the broader discourse on inclusive education, advocating for more innovative approaches to support diverse learning environments.

Graph Sampling for Map Comparison

Comparing two road maps is a basic operation that arises in a variety of situations. A map comparison method that is commonly used, mainly in the context of comparing reconstructed maps to ground truth maps, is based on graph sampling . The essential idea is to first compute a set of point samples on each map, and then to match pairs of samples—one from each map—in a one-to-one fashion. For deciding whether two samples can be matched, different criteria, e.g., based on distance or orientation, can be used. The total number of matched pairs gives a measure of how similar the maps are. Since the work of Biagioni and Eriksson [11, 12], graph sampling methods have become widely used. However, there are different ways to implement each of the steps, which can lead to significant differences in the results. This means that conclusions drawn from different studies that seemingly use the same comparison method, cannot necessarily be compared. In this work we present a unified approach to graph sampling for map comparison. We present the method in full generality, discussing the main decisions involved in its implementation. In particular, we point out the importance of the sampling method (GEO vs. TOPO) and that of the matching definition, discussing the main options used, and proposing alternatives for both key steps. We experimentally evaluate the different sampling and matching options considered on map datasets and reconstructed maps. Furthermore, we provide a code base and an interactive visualization tool to set a standard for future evaluations in the field of map construction and map comparison.

Abstract PO2-10-08: Contemporary HER2-Positive MBC Treatment Recommendations Among Community Healthcare Professionals: Analysis of an Online Interactive Decision Support Tool

Abstract Background: The management of HER2-positive (HER2+) metastatic breast cancer (MBC) has continued to evolve, with multiple FDA approvals of novel HER2-targeted agents since late 2019. Considering the growing HER2+ MBC treatment armamentarium, we sought to identify current practice patterns among community healthcare professionals (HCPs) for HER2+ MBC by comparing HCP and key opinion leader (KOL) treatment recommendations using an online decision support tool. Methods: An online decision support tool was developed with input from 5 KOLs to provide therapy recommendations for 630 HER2+ MBC patient case scenarios based on conventional considerations including distribution of metastatic disease, treatment history, duration of response, and specific comorbidities. HCP tool users entered specific patient criteria to define a case along with their intended management for each case. The tool then showed 5 KOL recommendations for the user-entered patient case, and the users were asked to indicate if the expert recommendations confirmed or changed their intended approach. An analysis of expert recommendations and user-selected therapy was performed. Results: Between November 2022 and July 2023, 313 patient cases were entered by 242 participating HCPs. HCP and KOL treatment recommendations were frequently discordant (Table). For patients with de novo HER2+ MBC (n = 55), there was strong concordance (63%; P = .0001) between HCP and KOL recommendations. However, weak treatment selection concordance (53%; P < .0001) was observed for patients with disease progression after standard neoadjuvant/adjuvant therapy with chemotherapy plus HER2-targeted agents (n = 57). In the second-line setting, 43% concordance was observed for patients with non‒central nervous system (CNS) disease progression without CNS progression after first-line therapy with THP (n = 67; P < .0001), whereas 61% concordance was observed for patients with non-CNS and CNS disease progression after first-line therapy with THP (n = 61; P < .0001). In the third-line setting, 31% concordance was observed for patients with non-CNS disease progression without CNS progression (n = 32; P < .0001), and 47% concordance was observed for patients with non-CNS and CNS disease progression (n = 19; P = .0009). For HCPs whose treatment plan did not match KOL recommendations in these scenarios, 62% indicated that KOL recommendations confirmed or changed their intended therapy, but 19% indicated that there were barriers to implementing those recommendations. Conclusions: These data suggest ongoing challenges to optimally incorporate novel HER2-targeted therapies in the care of patients with HER2+ MBC, particularly in the second line and beyond, but an online tool providing KOL advice on specific patient scenarios confirmed or changed the clinical approach for a majority of HCPs. Thus, continued development of resources for HCPs, including online decision support tools, may be increasingly important given the rapidly evolving treatment landscape. Table. Summary of Treatment Choices by KOLs or HCPs for Select Patient Scenarios Citation Format: Kristen Rosenthal, Sara Hurvitz, Komal Jhaveri, Heather McArthur, Sara Tolaney, Timothy Quill. Contemporary HER2-Positive MBC Treatment Recommendations Among Community Healthcare Professionals: Analysis of an Online Interactive Decision Support Tool [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-10-08.

КОНКУРЕНТНИЙ АНАЛІЗ ІСНУЮЧИХ ПРОГРАМНИХ ЗАСТОСУНКІВ ДЛЯ ПОКРАЩЕННЯ МЕНТАЛЬНОГО ЗДОРОВ’Я

Formulation of the problem. In today's world, the issue of mental health is one of the most urgent. Lack of access to psychological help and support is a serious limitation for many Ukrainians, especially for those who live in remote regions or have limited op-portunities to receive qualified help. In this regard, the development of a mobile application to support mental health becomes an urgent task. Such an application can become an accessible and effective tool for improving the mental state of the Ukrainian population. The aim of the study. Defining the functional requirements for a mobile application to improve mental health and conducting a competitive analysis of existing applications. Defining functional requirements for a mobile application for improving mental health. 1. Bot "personal psychologist" 2. Self-assessment tests 3. Personal diary 4. Articles 5. Contacts of an online psychologist 6. "Psychologists nearby" map 7. Various practices 8. Change and develop useful skills The application can be personalized for each user's needs. Users can choose which features they want and customize them to suit their needs. A competitive analysis of mental health software applications. To carry out the analysis, we selected applications relevant in terms of subject mat-ter and functionality, which are available in Ukraine and abroad, and identified their ad-vantages and disadvantages. The following applications were taken for analysis: 1. Svitlo – Meditations in Ukrainian (Ukraine) 2. Silence - Meditations in Ukrainian (Ukraine) 3. BetterMe: Mental health (Ukraine) 4. VOS – Mental Health Plan (Ukraine) 5. PsychTests (Poland) 6. Happify (USA, New York) 7. My Mood Tracker: Mood Control (Poland) 8. Calm – Sleep, Meditate, Relax (USA) 9. Talkspace Therapy & Counseling (Poland) 10. Youper – CBT Therapy Chatbot (USA, San Francisco) Conclusions. The software applications analyzed in this work have a common goal – to help users maintain or improve their mental health through various methods, such as meditation, psychological tests, planning and keeping a mood diary, psychological support through a chatbot or interactive therapy, as well as games and activities to pro-mote positive thinking. They provide tools for self-improvement and development of posi-tive coping strategies with stress and negative emotions. However, they also have their differences: • Some of them specialize in specific aspects of mental health, such as meditation (Svitlo, Silence, Calm), help with depression (MoodTools), or psychological testing (PsychTests). • Some, like Talkspace and Youper, offer psychological support through a chatbot or other interactive tools. • Some apps, like Happify and BetterMe, focus on improving emotional well-being and psychological development. Among the selected applications, there is none that fully meets the requirements that we set for our application. Only meditative practices are available among the clear solutions. Therefore, the development of such an application will be relevant and useful for Ukrainian society.

A Mixed Methods Pilot Study to Evaluate User Engagement with MedMicroMaps: A Novel Interactive E-learning Tool for Medical Microbiology

A Mixed Methods Pilot Study to Evaluate User Engagement with MedMicroMaps: A Novel Interactive E-learning Tool for Medical Microbiology

Development of an Interactive Digital Learning Media “E-MIREDOKS” on Redox Reaction Material

This study aims to develop and evaluate the feasibility of E-MIREDOKS (Redox Reaction Interactive E-Module) as a digital and interactive learning tool for teaching redox reactions in chemistry. The research methodology employed is the Research and Development approach developed by Sukmadinata, which involves three main stages: preliminary study, media development, and media testing, culminating in a limited-scale trial. This methodology was chosen due to its alignment with the goal of developing a learning tool. The validity of the developed medium was assessed using validity sheets, pretest and posttest sheets, student feedback, and observation sheets. The medium was found to be feasible based on its content and construct validity, with validity percentages of 85.56% and 85.93% respectively, falling within the category of exceptionally valid. The effectiveness of the medium was evaluated through a comparison of pretest and posttest scores, resulting in a sig.(2-tailed) value of 0.00 < 0.05 (α), indicating a significant difference in mean scores between the pretest and posttest. Out of 36 students, 31 achieved individual learning accuracy, while 86.11% attained classical learning accuracy. The practicality of the medium was assessed using student feedback, which yielded a percentage of 92.63%, and observations of student behavior, which scored 96.67%, both falling within the category of exceptionally practical. These findings provide evidence that E-MIREDOKS can serve as an effective digital and interactive learning tool for chemistry education.

Assessing the clinical reasoning skills of 4th year medical students in Batna

Aim. With the aim of examining the performance, commitment and perception of 4th year medical students in Batna - Algeria with regard to an interactive preparatory tool used in a flipped neuromeningeal infection course and to compare results with other types of teaching including blended as well as distance learning during COVID19. Methods. we conducted a prospective, evaluative, experimental before-and-after study with comparison maneuvers. Through this study, the success rate of external students 2022-2023 receiving "Reverse Classroom" teaching applied on group A was compared to the success rate of external students of the same year receiving "mixed teaching" applied on group B and to the success rate of external students of the year 2020-2021 (During COVID 19), receiving only "online teaching in downloadable papers" applied on group C consisting of 2 subgroups . All students in group A and B have access to a traditional downloadable paper document coupled with an enhanced e-learning tool including a video. We briefly evaluated this interactive tool during a 01:30-hour lecture in the form of a clinical case, with the same amount of dedicated class time for both subgroups. Results: Overall, our evaluation showed that the use of the flipped classroom approach is appreciated by students and helps them to learn, understand and retain the essential notions of the course, objectively demonstrated by their response to question 2, 3 and 4, and whose acquisition of the course reached 60% (33.3, 37.1) and 80% (56.0, 49.4) respectively for the A1 and A2 group. The majority asked to adopt it in nearly 67% of cases, which has been reported in studies other. Similarly, our results show the importance of having direct contact with a teacher and feedback during a lecture, and of not exclusively carrying out distance learning without direct contact interaction and feedback. Conclusion: The flipped classroom defines a blended learning approach in which core content is transferred to students to engage them in active learning exercises during class time.

Utilizing Seesaw Application to Lift Students’ Speaking Proficiency in Senior High School

In this quantitative study, the researchers assessed the impact of the Seesaw application on eleventh-grade students’ speaking proficiency by focusing on explaining natural phenomena. The researchers utilized pre-experimental research, especially one-group pre- and post-test designs. The research data was gathered through validated pre-tests and post-tests. The statistical analysis encompassed paired sample T-tests with SPSS 25. The result revealed that the students' average speaking score increased significantly from 68.40 to 85.20. The sig 2 tailed was less than 0.05. The results offer compelling support for the integration of Seesaw by English educators, highlighting the potential for enhanced learning outcomes and increased student engagement. Future researchers should delve into comparative studies, scrutinizing the Seesaw application against other digital interactive platforms, including Busuu, ELSA, Cake, Beelinguapp, and similar tools.