Displaying publications 1 - 20 of 83 in total

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  1. Zehra S, Faseeha U, Syed HJ, Samad F, Ibrahim AO, Abulfaraj AW, et al.
    Sensors (Basel), 2023 Jun 05;23(11).
    PMID: 37300067 DOI: 10.3390/s23115340
    Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utilization. Moreover, NFV plays a crucial role in sensor and IoT networks by ensuring optimal resource usage and effective network management. However, adopting NFV in these networks also brings security challenges that must promptly and effectively address. This survey paper focuses on exploring the security challenges associated with NFV. It proposes the utilization of anomaly detection techniques as a means to mitigate the potential risks of cyber attacks. The research evaluates the strengths and weaknesses of various machine learning-based algorithms for detecting network-based anomalies in NFV networks. By providing insights into the most efficient algorithm for timely and effective anomaly detection in NFV networks, this study aims to assist network administrators and security professionals in enhancing the security of NFV deployments, thus safeguarding the integrity and performance of sensors and IoT systems.
    Matched MeSH terms: Problem Solving
  2. Emambocus BAS, Jasser MB, Mustapha A, Amphawan A
    Sensors (Basel), 2021 Nov 13;21(22).
    PMID: 34833621 DOI: 10.3390/s21227542
    Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions. The dragonfly algorithm (DA), a recently proposed swarm intelligence algorithm, is inspired by the dynamic and static swarming behaviors of dragonflies, and it has been found to have a higher performance in comparison to other swarm intelligence and evolutionary algorithms in numerous applications. There are only a few surveys about the dragonfly algorithm, and we have found that they are limited in certain aspects. Hence, in this paper, we present a more comprehensive survey about DA, its applications in various domains, and its performance as compared to other swarm intelligence algorithms. We also analyze the hybrids of DA, the methods they employ to enhance the original DA, their performance as compared to the original DA, and their limitations. Moreover, we categorize the hybrids of DA according to the type of problem that they have been applied to, their objectives, and the methods that they utilize.
    Matched MeSH terms: Problem Solving
  3. Lee SWH, Saw PS
    Am J Pharm Educ, 2021 Sep;85(8):8464.
    PMID: 34615624 DOI: 10.5688/ajpe8464
    Objective. To conduct an innovative workshop activity using plastic building blocks to create a student-centric environment that encouraged development of creative thinking skills and self-reflection in undergraduate pharmacy students.Methods. Students were randomly allocated into small groups of four and assigned the role of either architect or team builder and tasked with creating a LEGO robot. Students were not allowed to speak during the activity. The architect was tasked with providing instructions to team builders on how to build the robot using nonverbal communication. After completion of the task, each group was asked to reflect on the exercise and share what they learned with the entire class. These discussions were video recorded and thematically analyzed.Results. The metaphorical models that students built served as a basis for discussion, problem-solving, and decision-making. Students described how this activity enabled them to mentally and visually link abstract concepts, such as decision-making and problem-solving, to actual practice. Three themes were identified from the qualitative study: thinking with hands, listening with eyes; linking theory to practice; and learning through reflection.Conclusion. This activity offered a non-confrontational way to support communication and the learning process. The use of an interactive game can be a useful teaching strategy to create an active-learning environment, helping pharmacy students improve their social and cognitive skills, such as decision-making, problem-solving, and communication.
    Matched MeSH terms: Problem Solving
  4. Copriady J, Zulnaidi H, Alimin M, Albeta SW
    Heliyon, 2021 May;7(5):e06995.
    PMID: 34027189 DOI: 10.1016/j.heliyon.2021.e06995
    This study aims to determine the level of collaboration, in-service training and teaching resource proficiency amongst Chemistry teachers by investigating the intermediary role of collaboration for training and teaching resources competency. A total of 184 Chemistry teachers in Riau, Indonesia, have participated in the survey. Using AMOS and SPSS 25.0 software to analyse the research data, we find a high level of collaboration, training and teaching resource proficiency amongst Chemistry teachers. Male teachers have higher proficiency level on all aspects than female teachers. The MANOVA test results show a significant difference in teacher resource competency based on gender. Male teachers are significantly more proficient than their female counterparts. However, they do not significantly differ in terms of collaboration and in-service training. The structural equation modelling test results show that collaboration has a significant role in Chemistry teachers' involvement in training and teaching resources. These research findings encourage relevant parties to design effective collaborations amongst Chemistry teachers. They also offer new insights for Chemistry teachers to keep on mastering teaching resources nationally and internationally.
    Matched MeSH terms: Problem Solving
  5. Devadas VV, Khoo KS, Chia WY, Chew KW, Munawaroh HSH, Lam MK, et al.
    Bioresour Technol, 2021 Apr;325:124702.
    PMID: 33487515 DOI: 10.1016/j.biortech.2021.124702
    The accumulation of conventional petroleum-based polymers has increased exponentially over the years. Therefore, algae-based biopolymer has gained interest among researchers as one of the alternative approaches in achieving a sustainable circular economy around the world. The benefits of microalgae biopolymer over other feedstock is its autotrophic complex to reduce the greenhouse gases emission, rapid growing ability with flexibility in diverse environments and its ability to compost that gives greenhouse gas credits. In contrast, this review provides a comprehensive understanding of algae-based biopolymer in the evaluation of microalgae strains, bioplastic characterization and bioplastic blending technologies. The future prospects and challenges on the algae circular bioeconomy which includes the challenges faced in circular economy, issues regard to the scale-up and operating cost of microalgae cultivation and the life cycle assessment on algal-based biopolymer were highlighted. The aim of this review is to provide insights of algae-based biopolymer towards a sustainable circular bioeconomy.
    Matched MeSH terms: Problem Solving
  6. Seif AA, Eldamanhoury HM, Darahim K, Boulos DNK, Bahaa N, A M C, et al.
    Adv Physiol Educ, 2021 Mar 01;45(1):109-120.
    PMID: 33544038 DOI: 10.1152/advan.00166.2020
    The electrocardiogram (ECG) is the primary diagnostic tool in cardiovascular diseases. Hence its interpretation is a core competency in medicine, where obvious deficiencies have been reported among learners. The aim of this study was to introduce the fundamentals of ECG knowledge and interpretation through early clinical exposure (ECE) based on a six-step approach for preclinical students (n = 110) and to study its influence on their knowledge and interpretation skills thereafter. The first step employed a blended learning format using didactic lectures on normal and pathological ECGs, each preceded by preinstructional videos. The second step focused on psychomotor skills and utilized laboratory exercises for ECG recording and interpretation. The third step focused on vertical integration, where the clinical relevance of the procedure was established with integrated lectures. The fourth step used the Moodle platform, where opportunities for peer interactions and clarifications by clinical faculty were made available. The fifth step incorporated clinical and diagnostic reasoning through cardiology ward visits and interpretation of patient ECGs. The sixth step was designed for critical thinking and problem solving through case-based discussions with peers and faculty. Students were assessed with multiple-choice questions and objective structured practical examination. Learner perceptions of the approach were evaluated with a feedback questionnaire and focus group discussion. Statistical analysis showed that ECE through a six-step approach significantly enhanced knowledge and interpretation of ECG as evidenced by the pre- and posttest scores. Analysis of the focus group data revealed that learner engagement and skills of critical thinking were enhanced along with diagnostic and clinical reasoning.
    Matched MeSH terms: Problem Solving
  7. Wang Y, Lim YY, He Z, Wong WT, Lai WF
    PMID: 33559482 DOI: 10.1080/10408398.2021.1882381
    The last decide has witnessed a growing research interest in the role of dietary phytochemicals in influencing the gut microbiota. On the other hand, recent evidence reveals that dietary phytochemicals exhibit properties of preventing and tackling symptoms of Alzheimer's disease, which is a neurodegenerative disease that has also been linked with the status of the gut microbiota over the last decade. Till now, little serious discussions, however, have been made to link recent understanding of Alzheimer's disease, dietary phytochemicals and the gut microbiota together and to review the roles played by phytochemicals in gut dysbiosis induced pathologies of Alzheimer's disease. Deciphering these connections can provide insights into the development and future use of dietary phytochemicals as anti-Alzheimer drug candidates. This review aims at presenting latest evidence in the modulating role of phytochemicals in the gut microbiota and its relevance to Alzheimer's disease and summarizing the mechanisms behind the modulative activities. Limitations of current research in this field and potential directions will also be discussed for future research on dietary phytochemicals as anti-Alzheimer agents.
    Matched MeSH terms: Problem Solving
  8. Al-Kumaim NH, Alhazmi AK, Ramayah T, Shabbir MS, Gazem NA
    Front Psychol, 2021;12:637808.
    PMID: 33643168 DOI: 10.3389/fpsyg.2021.637808
    Value Co-Creation (VCC) plays a major role in engaging knowledgeable individuals in a community via innovation, problem solving, and new service/product development. This study investigates the personal factors that influence individuals' engagement in value co-creation in Higher Education Institutions (HEIs) through the use of online platforms. Some higher education institutions have successfully established or used appropriate online platforms, such as online forums, web applications, and mobile applications to engage their community in ideation or crowdsourcing as a part of the value co-creation process. On the other hand, some HEIs have failed to engage their community in value co-creation activities, and even if they managed to engage some individuals in value co-creation once, they failed to sustain these individuals' engagement in value co-creation using online platforms. Using the Stimulus Organism Response (S-O-R) framework, this study examines the relationship between relevant personal factors (commitment and knowledge self-efficacy) and other motivational factors that provide perceived benefits with value co-creation engagement. Data was collected from 308 respondents at five Malaysian research universities. The software analysis tool Smart PLS is used for data analysis and validation. The results demonstrate that personal factors and perceived benefits as a motivational factor has a significant effect on individual engagement in value co-creation. However, the significance of these findings varies from one individual to another. The implications of these findings are discussed.
    Matched MeSH terms: Problem Solving
  9. Guangnan Z, Tao H, Rahman MA, Yao L, Al-Saffar A, Meng Q, et al.
    Work, 2021;68(3):871-879.
    PMID: 33612530 DOI: 10.3233/WOR-203421
    BACKGROUND: An isolated robot must take account of uncertainty in its world model and adapt its activities to take into account such as uncertainty. In the same way, a robot interaction with security and privacy issues (RISAPI) with people has to account for its confusion about the human internal state, as well as how this state will shift as humans respond to the robot.

    OBJECTIVES: This paper discusses RISAPI of our original work in the field, which shows how probabilistic planning and system theory algorithms in workplace robotic systems that work with people can allow for that reasoning using a security robot system. The problem is a general way as an incomplete knowledge 2-player game.

    RESULTS: In this general framework, the various hypotheses and these contribute to thrilling and complex robot behavior through real-time interaction, which transforms actual human subjects into a spectrum of production systems, robots, and care facilities.

    CONCLUSION: The models of the internal human situation, in which robots can be designed efficiently, are limited, and achieve optimal computational intractability in large, high-dimensional spaces. To achieve this, versatile, lightweight portrayals of the human inner state and modern algorithms offer great hope for reasoning.

    Matched MeSH terms: Problem Solving
  10. Ding K, Choo WC, Ng KY, Ng SI, Song P
    Front Psychol, 2021;12:659481.
    PMID: 33967922 DOI: 10.3389/fpsyg.2021.659481
    This study aims to examine key attributes affecting Airbnb users' satisfaction and dissatisfaction through the analysis of online reviews. A corpus that comprises 59,766 Airbnb reviews form 27,980 listings located in 12 different cities is analyzed by using both Latent Dirichlet Allocation (LDA) and supervised LDA (sLDA) approach. Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb accommodation. In particular, the emergence of the topic "guest conflicts" in this study leads to a new direction in future sharing economy accommodation research, which is to study the interactions of different guests in a highly shared environment. The results of topic distribution analysis show that in different types of Airbnb properties, Airbnb users attach different importance to the same service attributes. The topic correlation analysis reveals that home like experience and help from the host are associated with Airbnb users' revisit intention. We determine attributes that have the strongest predictive power to Airbnb users' satisfaction and dissatisfaction through the sLDA analysis, which provides valuable managerial insights into priority setting when developing strategies to increase Airbnb users' satisfaction. Methodologically, this study contributes by illustrating how to employ novel approaches to transform social media data into useful knowledge about customer satisfaction, and the findings can provide valuable managerial implications for Airbnb practitioners.
    Matched MeSH terms: Problem Solving
  11. Abdullah AH, Neo TK, Low JH
    F1000Res, 2021;10:1076.
    PMID: 35035894 DOI: 10.12688/f1000research.73210.2
    Background: Studies have acknowledged that social media enables students to connect with and learn from experts from different ties available in the students' personal learning environment (PLE). Incorporating experts into formal learning activities such as scaffolding problem-solving tasks through social media, allows students to understand how experts solve real-world problems. However, studies that evaluate experts' problem-solving styles on social media in relation to the tie strength of the experts with the students are scarce in the extant literature. This study aimed to explore the problem-solving styles that the experts portrayed based on their ties with the students in problem-based learning (PBL) on Facebook. Methods: This study employed a simultaneous within-subject experimental design which was conducted in three closed Facebook groups with 12 final year management students, six business experts, and one instructor as the participants. The experts were invited by the students from the weak and strong ties in their PLE. Hinging on the Strength of Weak Ties Theory (Granovetter, 1973) and problem-solving styles (Selby et al., 2004), this study employed thematic analysis using the ATLAS.ti qualitative data analysis software to map the experts' comments on Facebook. Results:  The experts from strong and weak ties who had a prior relationship with the students showed people preference style by being more sensitive to the students' learning needs and demonstrating firmer scaffolding compared to the weak ties' experts who had no prior relationship with the students. Regardless of the types of ties, all experts applied all manner of processing information and orientation to change but the degree of its applications are correlated with the working experience of the experts. Conclusion: The use of weak or strong ties benefited the students as it expedited their problem-solving tasks since the experts have unique expertise to offer depending on the problem-solving styles that they exhibited.
    Matched MeSH terms: Problem Solving
  12. Chandran DS, Muthukrishnan SP, Barman SM, Peltonen LM, Ghosh S, Sharma R, et al.
    Adv Physiol Educ, 2020 Dec 01;44(4):709-721.
    PMID: 33125254 DOI: 10.1152/advan.00128.2020
    Active learning promotes the capacity of problem solving and decision making among learners. Teachers who apply instructional processes toward active participation of learners help their students develop higher order thinking skills. Due to the recent paradigm shift toward adopting competency-based curricula in the education of healthcare professionals in India, there is an emergent need for physiology instructors to be trained in active-learning methodologies and to acquire abilities to promote these curriculum changes. To address these issues, a series of International Union of Physiological Sciences (IUPS) workshops on physiology education techniques in four apex centers in India was organized in November 2018 and November 2019. The "hands-on" workshops presented the methodologies of case-based learning, problem-based learning, and flipped classroom; the participants were teachers of basic sciences and human and veterinary medicine. The workshop series facilitated capacity building and creation of a national network of physiology instructors interested in promoting active-learning techniques. The workshops were followed by a brainstorming meeting held to assess the outcomes. The aim of this report is to provide a model for implementing a coordinated series of workshops to support national curriculum change and to identify the organizational elements essential for conducting an effective Physiology Education workshop. The essential elements include a highly motivated core organizing team, constant dialogue between core organizing and local organizing committees, a sufficient time frame for planning and execution of the event, and opportunities to engage students at host institutions in workshop activities.
    Matched MeSH terms: Problem Solving
  13. Mey LS, Khairudin R, Muda TEAT, Mokhtar DM, Kamaluddin MR
    Data Brief, 2020 Aug;31:105864.
    PMID: 32613044 DOI: 10.1016/j.dib.2020.105864
    Studies have consistently shown that childhood maltreatment is a significant risk factor for the development of drug addiction across human lifespan. Yet, little is known about the prevalence of childhood maltreatment history among drug addicts in Malaysia. The dataset presented in this article provides demographic information on 200 drug addicts recruited from two rehabilitation centres in Malaysia, the prevalence of different types of childhood maltreatment history and the correlation between all types of maltreatments. Analyses of the data can provide insights into the prevalence of maltreatment history and development of drug addiction, therefore indispensable for mental health professionals designing appropriate interventions for the drug addicts. The data can also provide baseline data for comparative studies in terms of childhood maltreatment history and drug addiction across different countries.
    Matched MeSH terms: Problem Solving
  14. Olakotan OO, Yusof MM
    J Biomed Inform, 2020 06;106:103453.
    PMID: 32417444 DOI: 10.1016/j.jbi.2020.103453
    The overwhelming number of medication alerts generated by clinical decision support systems (CDSS) has led to inappropriate alert overrides, which may lead to unintended patient harm. This review highlights the factors affecting the alert appropriateness of CDSS and barriers to the fit of CDSS alert with clinical workflow. A literature review was conducted to identify features and functions pertinent to CDSS alert appropriateness using the five rights of CDSS. Moreover, a process improvement method, namely, Lean, was used as a tool to optimise clinical workflows, and the appropriate design for CDSS alert using a human automation interaction (HAI) model was recommended. Evaluating the appropriateness of CDSS alert and its impact on workflow provided insights into how alerts can be designed and triggered effectively to support clinical workflow. The application of Lean methods and tools to analyse alert efficiencies in supporting workflow in this study provides an in-depth understanding of alert-workflow fit problems and their root cause, which is required for improving CDSS design. The application of the HAI model is recommended in the design of CDSS alerts to support various levels and stages of alert automations, namely, information acquisition and analysis, decision action and action implementation.
    Matched MeSH terms: Problem Solving
  15. Nurhafizah Moziyana Mohd Yusop, Nooraida Samsudin, Nooraida Samsudin, Anis Shahida Mokhta, Siti Rohaidah Ahmad, Mohd Fahmi Mohammad Amran, et al.
    MyJurnal
    Euler method is a numerical order process for solving problems with the Ordinary Differential Equation (ODE). It is a fast and easy way. While Euler offers a simple procedure for solving ODEs, problems such as complexity, processing time and accuracy have driven others to use more sophisticated methods. Improvements to the Euler method have attracted much attention resulting in numerous modified Euler methods. This paper proposes Cube Polygon, a modified Euler method with improved accuracy and complexity. In order to demonstrate the accuracy and easy implementation of the proposed method, several examples are presented. Cube Polygon’s performance was compared to Polygon’s scheme and evaluated against exact solutions using SCILAB. Results indicate that not only Cube Polygon has produced solutions that are close to identical solutions for small step sizes, but also for higher step sizes, thus generating more accurate results and decrease complexity. Also known in this paper is the general of the RL circuit due to the ODE problem.
    Matched MeSH terms: Problem Solving
  16. Shafii NZ, Saudi ASM, Pang JC, Abu IF, Sapawe N, Kamarudin MKA, et al.
    Heliyon, 2019 Oct;5(10):e02534.
    PMID: 31667387 DOI: 10.1016/j.heliyon.2019.e02534
    There has been a growing concern on the rising of environmental issues in Malaysia over the last decade. Many environmental studies conducted in this country began to utilise the chemometrics techniques to overcome the limitation in the environmental monitoring studies. Chemometrics becomes an important tool in environmental fields to evaluate the relationship of various environmental variables particularly in a large and complex database. The review aimed to analyse and summarize the current evidences and limitations on the application of chemometrics techniques in the environmental studies in Malaysia. The study performed a comprehensive review of relevant scientific journals concerning on the major environmental issues in the country, published between 2013 and 2017. A total of 29 papers which focused on the environmental issues were reviewed. Available evidences suggested that chemometrics techniques have a greater accuracy, flexibility and efficiency to be applied in environmental modelling. It also reported that chemometrics techniques are more practical for cost effective and time management in sampling and monitoring purposes. However, chemometrics is relatively new in environmental field in Malaysia and various scopes need to be considered in the future as the current studies focused on very limited number of major environmental issues. Overall, chemometrics techniques have a lot of advantages in solving environmental problems. The development of chemometrics in environmental studies in the country is necessary to advance understanding, thus able to produce more significant impacts towards the effective environmental management.
    Matched MeSH terms: Problem Solving
  17. Chia SR, Chew KW, Show PL, Xia A, Ho SH, Lim JW
    Bioresour Technol, 2019 Oct;289:121727.
    PMID: 31279318 DOI: 10.1016/j.biortech.2019.121727
    In this present study, microalgal phycobiliproteins were isolated and purified via potential biphasic processing technique for pharmaceutical as well as food applications. The algal pre-treatment techniques were studied to enhance the yield of microalgal phycobiliproteins from the biomass. The proposed methods were optimised to obtain the best recovery yield of phycobiliproteins that can be isolated from the biomass. The phycobiliproteins were further purified using liquid biphasic system. The results showed that microalgal phycobiliproteins of high purity and yield was achieved using sonication treatment (20% power, 50% duty cycle and 7 min of irradiation time) with the biphasic system, where the purification fold of 6.17 and recovery yield of 94.89% was achieved. This work will provide insights towards the effective downstream processing of biomolecules from microalgae.
    Matched MeSH terms: Problem Solving
  18. Tay AK, Miah MAA, Khan S, Badrudduza M, Morgan K, Balasundaram S, et al.
    Epidemiol Psychiatr Sci, 2019 Aug 23;29:e47.
    PMID: 31441397 DOI: 10.1017/S2045796019000416
    AIMS: Refugees are confronted with the task of adapting to the long-term erosion of psychosocial systems and institutions that in stable societies support psychological well-being and mental health. We provide an overview of the theoretical principles and practical steps taken to develop a novel psychotherapeutic approach, Integrative Adapt Therapy (IAT), which aims to assist refugees to adapt to these changes. This paper offers the background informing ongoing trials of IAT amongst refugees from Myanmar.

    METHODS: A systematic process was followed in formulating the therapy and devising a treatment manual consistent with the principles of the Adaptation and Development After Persecution and Trauma (ADAPT) model. The process of development and refinement was based on qualitative research amongst 70 refugees (ten from West Papua and 60 Rohingya from Myanmar). The therapeutic process was then piloted by trained interventionists amongst a purposively selected sample of 20 Rohingya refugees in Malaysia.

    RESULTS: The final formulation of IAT represented an integration of the principles of the ADAPT model and evidence-based techniques of modern therapies in the field, including a transdiagnostic approach and the selective use of cognitive behavioural treatment elements such as problem-solving and emotional regulation techniques. The steps outlined in refining the manual are outlined in relation to work amongst West Papuan refugees, and the process of cultural and contextual modifications described during early piloting with Rohingya refugees in Malaysia.

    CONCLUSIONS: IAT integrates universal principles of the ADAPT model with the particularities of the culture, history of conflict and living context of each refugee community; this synthesis of knowledge forms the basis for participants gaining insights into their personal patterns of psychosocial adaptation to the refugee experience. Participants then apply evidence-based techniques to improve their capacity to adapt to the serial psychosocial changes they have encountered in their lives as refugees. The overarching goal of IAT is to provide refugees with a coherent framework that assists in making sense of their experiences and their emotional and interpersonal reactions to the challenges they confront within the family and community context. As such, the principles of a general model (ADAPT) are used as a springboard for making concrete, manageable and meaningful life changes at the individual level, a potentially novel approach for psychosocial interventions in the field.

    Matched MeSH terms: Problem Solving
  19. Amirul Afif Muhamat, Siti Zubaidah Ahmad, Azreen Roslan, Norzitah Abdul Karim, Norfaridah Ali Azizan
    MyJurnal
    This paper aims to explore the readi n ess of takaful operators to integrate waqf as part of their product feature by assessing on the components of as proposed in the New Product Development Model: marketing supports; formalized development process and top management supports. Questionnaire w a s employed in this survey and takaful operators’ employees who involved in product development were selected such as actuaries, business development managers and their executives. Unexpectedly, several takaful operators withdrew from participating in the s urvey (it was last minute) which is limitation in this study. Accordingly, it caused the use of non parametric tests in this study since the data is not normally distributed. Spearman rank correlation shows that formalized development process is the sig n ificant factor that influenced the readiness of the takaful operators to integrate waqf in their products. However, the other two independent variables which are marketing supports and top management supports depicted insignificant result. Nevertheless, t h e findings were still able to provide insights on the integration of waqf by takaful operators as their latest products’ feature.
    Matched MeSH terms: Problem Solving
  20. Sahoo R, Rehan S, Sahoo S
    Malays J Med Sci, 2018 Nov;25(6):121-126.
    PMID: 30914885 DOI: 10.21315/mjms2018.25.6.12
    Background: A poster presentation is an experiential learning activity that stimulates curiosity and interest among students. Moreover, it encourages exploration and integration of concepts and provides students with a novel way to demonstrate their understanding of scientific principles. This pilot projects aimed to analyse views of participants on the academic benefits and learning of medical sciences via poster presentations.

    Methods: This cross-sectional study used the sequential exploratory type of mixed methods design in which quantitative data analysis was performed via survey-based questionnaires and qualitative study. For this purpose, we performed a thematic analysis of semi-structured interview questions that were administered to all participants using the self-interview technique.

    Results: A majority of students were of the opinion that the process of making poster preparation acted as an opportunity to promote deep learning. Moreover, a majority expressed that making these presentations required teamwork, which gave them an insight into collaborative learning.

    Conclusion: Our study revealed that poster presentations, when used effectively as an assignment, can facilitate a learner's critical and reflective thinking and promoting active learning. Previous generic guidelines for making posters were found to be an important step that led to a systematic scientific approach amongst learners as well as for integrating basic science and medical knowledge.

    Matched MeSH terms: Problem Solving
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