Pub Date : 2022-12-09DOI: 10.33965/ijcsis_2022170203
J. D. Patón-Romero, Ricardo Vinuesa, L. Jaccheri, M. T. Baldassarre
When talking about sustainability, we usually think that it is only about safeguarding the environment; nothing is further from reality. Of course, the environment is a crucial component of sustainability and our survival, but it is important to recall that the society and the economy play important roles in this regard, and without the interconnection and development of these three perspectives it will not be possible to achieve sustainable progress. The Sustainable Development Goals (SDGs) established by the United Nations (UN) defend this idea and address the main challenges that humanity faces. One of these challenges is gender equality, which is identified in the perspective of social sustainability through SDG 5. Gender equality is a very complex and difficult challenge to address due to the great cultural diversity of our society. Thus, achieving this goal will require laying a solid foundation and working together by combining very different fields of knowledge. In this sense, Artificial Intelligence (AI) is one of the fields that is currently having the greatest impact and relevance for the development of new technologies and for the advancement of numerous areas. This growing evolution of AI demonstrates that its repercussions at the social level must be analyzed and addressed in such a way that AI becomes a positive asset for sustainability and, in this particular case, for gender equality. For all these reasons, this study aims to analyze the current state of the art and collect the existing knowledge in the fields of AI and gender equality, by conducting a Systematic Mapping Study (SMS). The obtained results and findings have allowed us to identify the most relevant advances in this regard, as well as the gaps and drawbacks that currently exist and on which we must urgently focus to address gender equality both in and by AI. In the same way, these findings demonstrate the limited joint development of both fields, but also indicate an increase in the relevance and the number of proposals that these fields are receiving in recent years.
{"title":"STATE OF GENDER EQUALITY IN AND BY ARTIFICIAL INTELLIGENCE","authors":"J. D. Patón-Romero, Ricardo Vinuesa, L. Jaccheri, M. T. Baldassarre","doi":"10.33965/ijcsis_2022170203","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170203","url":null,"abstract":"When talking about sustainability, we usually think that it is only about safeguarding the environment; nothing is further from reality. Of course, the environment is a crucial component of sustainability and our survival, but it is important to recall that the society and the economy play important roles in this regard, and without the interconnection and development of these three perspectives it will not be possible to achieve sustainable progress. The Sustainable Development Goals (SDGs) established by the United Nations (UN) defend this idea and address the main challenges that humanity faces. One of these challenges is gender equality, which is identified in the perspective of social sustainability through SDG 5. Gender equality is a very complex and difficult challenge to address due to the great cultural diversity of our society. Thus, achieving this goal will require laying a solid foundation and working together by combining very different fields of knowledge. In this sense, Artificial Intelligence (AI) is one of the fields that is currently having the greatest impact and relevance for the development of new technologies and for the advancement of numerous areas. This growing evolution of AI demonstrates that its repercussions at the social level must be analyzed and addressed in such a way that AI becomes a positive asset for sustainability and, in this particular case, for gender equality. For all these reasons, this study aims to analyze the current state of the art and collect the existing knowledge in the fields of AI and gender equality, by conducting a Systematic Mapping Study (SMS). The obtained results and findings have allowed us to identify the most relevant advances in this regard, as well as the gaps and drawbacks that currently exist and on which we must urgently focus to address gender equality both in and by AI. In the same way, these findings demonstrate the limited joint development of both fields, but also indicate an increase in the relevance and the number of proposals that these fields are receiving in recent years.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"106 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80616319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-09DOI: 10.33965/ijcsis_2022170201
Anas Tukur Balarabe, I. Jordanov
While fine-tuning a transfer learning model alleviates the need for a vast amount of training data, it still comes with a few challenges. One of them is the range of image dimensions that the input layer of a model accepts. This issue is of interest, especially in tasks that require the use of a transfer learning model. In scene classification, for instance, images could come in varying sizes that could be too large/small to be fed into the first layer of the architecture. While resizing could be used to trim images to a required shape, that is usually not possible for images with tiny dimensions, for example, in the case of the EuroSAT dataset. This paper proposes an Xception model-based framework that accepts images of arbitrary size and then resizes or interpolates them before extracting and enhancing the discriminative features using an adaptive dilation module. After applying the approach for scene classification problems and carrying out a number of experiments and simulations, we achieved 98.55% accuracy on the EuroSAT dataset, 99.22% on UCM , 96.15% on AID and 96.04% on the SIRI-WHU dataset, respectively. We also monitored the micro-average and macro-average ROC curve scores for all the datasets to further evaluate the proposed model’s effectiveness.
{"title":"A HYBRID DILATION APPROACH FOR REMOTE SENSING SCENE IMAGE CLASSIFICATION","authors":"Anas Tukur Balarabe, I. Jordanov","doi":"10.33965/ijcsis_2022170201","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170201","url":null,"abstract":"While fine-tuning a transfer learning model alleviates the need for a vast amount of training data, it still comes with a few challenges. One of them is the range of image dimensions that the input layer of a model accepts. This issue is of interest, especially in tasks that require the use of a transfer learning model. In scene classification, for instance, images could come in varying sizes that could be too large/small to be fed into the first layer of the architecture. While resizing could be used to trim images to a required shape, that is usually not possible for images with tiny dimensions, for example, in the case of the EuroSAT dataset. This paper proposes an Xception model-based framework that accepts images of arbitrary size and then resizes or interpolates them before extracting and enhancing the discriminative features using an adaptive dilation module. After applying the approach for scene classification problems and carrying out a number of experiments and simulations, we achieved 98.55% accuracy on the EuroSAT dataset, 99.22% on UCM , 96.15% on AID and 96.04% on the SIRI-WHU dataset, respectively. We also monitored the micro-average and macro-average ROC curve scores for all the datasets to further evaluate the proposed model’s effectiveness.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"43 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84556273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-09DOI: 10.33965/ijcsis_2022170205
P. Ovaskainen, R. Suomi, P. Nykänen
Rationale, aims and objectives : Resources to deliver healthcare are getting scarce all around the world. Clinical pathways are key tools to make health delivery in clinical settings efficient. Clinical pathway design, operation and follow-up all suffer from bad information systems integration. This might badly harm the adherence to clinical pathways. We have very little research on how clinical pathways are followed. This study assesses the functioning of a clinical pathway for elderly people in a Finnish case. At the same time it documents the hardships of getting information on the patient flows in a clinical pathway. Method: To support our theoretical discussion with a real case, a case study was performed on the follow-up of clinical pathway for elderly patients in emergency care. The data is on all patients aged 75 years or more who had visited the emergency unit of the city hospital in 2006–2008 was collected. The study sample comprised 24,195 admissions. The flow of patients after the first care at the emergency unit was analyzed, collecting data from various scattered sources. Results : The results show that the planned patient pathways seem not to be followed always. Yearly about 17% of the patients were referred to the university hospital, the more expensive care, but about 74% of these referrals did not follow the agreed procedure. The excess costs of referring patients to a non-standard, more expensive clinical pathway were 2,57 Million Euros over a period of three years for the studied population of 24,195 admissions, also averaging 106 Euros per admission. The case study clearly documents that adherence to the clinical pathway in the case is not as planned, and that system integration difficulties severely harm endeavors to analyze the functioning of and adherence to the pathway. Conclusion: Clinical pathways were not followed in the case as planned and expected. Bad data because of missing system integration made the follow-up of the clinical pathway adherence in our very challenging. Follow-up information of clinical pathway flows is often hard to collect because of fragmented information systems, that are not designed to document patient flows in clinical pathways. Reasons for these conditions should be better understood and studied in more depth.
{"title":"CLINICAL PATHWAYS AND THE NEED FOR SYSTEM INTEGRATION","authors":"P. Ovaskainen, R. Suomi, P. Nykänen","doi":"10.33965/ijcsis_2022170205","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170205","url":null,"abstract":"Rationale, aims and objectives : Resources to deliver healthcare are getting scarce all around the world. Clinical pathways are key tools to make health delivery in clinical settings efficient. Clinical pathway design, operation and follow-up all suffer from bad information systems integration. This might badly harm the adherence to clinical pathways. We have very little research on how clinical pathways are followed. This study assesses the functioning of a clinical pathway for elderly people in a Finnish case. At the same time it documents the hardships of getting information on the patient flows in a clinical pathway. Method: To support our theoretical discussion with a real case, a case study was performed on the follow-up of clinical pathway for elderly patients in emergency care. The data is on all patients aged 75 years or more who had visited the emergency unit of the city hospital in 2006–2008 was collected. The study sample comprised 24,195 admissions. The flow of patients after the first care at the emergency unit was analyzed, collecting data from various scattered sources. Results : The results show that the planned patient pathways seem not to be followed always. Yearly about 17% of the patients were referred to the university hospital, the more expensive care, but about 74% of these referrals did not follow the agreed procedure. The excess costs of referring patients to a non-standard, more expensive clinical pathway were 2,57 Million Euros over a period of three years for the studied population of 24,195 admissions, also averaging 106 Euros per admission. The case study clearly documents that adherence to the clinical pathway in the case is not as planned, and that system integration difficulties severely harm endeavors to analyze the functioning of and adherence to the pathway. Conclusion: Clinical pathways were not followed in the case as planned and expected. Bad data because of missing system integration made the follow-up of the clinical pathway adherence in our very challenging. Follow-up information of clinical pathway flows is often hard to collect because of fragmented information systems, that are not designed to document patient flows in clinical pathways. Reasons for these conditions should be better understood and studied in more depth.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"144 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86202822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-09DOI: 10.33965/ijcsis_2022170206
Kirwin B Matthews, M. Tanner
Culture influences how agile frameworks are implemented, and agility is said to be suitable in contexts where flexibility and spontaneity are emphasized. While past studies have investigated the influence of national culture on Agile implementations and practices in Western and Eastern contexts, studies focusing on a South African software development context is limited. Furthermore, few studies have focused on the effect of cultural differences within software engineering in general. The purpose of this study is to describe how national culture influences Agile practices within the South African software development context. In particular, the Hofstede, GLOBE and Schwartz frameworks of national culture were considered. The study was interpretive and was executed using a qualitative, semistructured interview research strategy directed at Agile practitioners in South African software development teams. The thematic analysis technique was used to analyze the data. Eleven propositions were formulated to highlight how national culture dimensions influence Agile practices. The findings reveal that various national culture dimensions influence the decision-making process, the degree of Sprint interruptions, participation in Agile ceremonies, adherence to policies and prescribed Agile practices, how teams reach agreement, approaches to process improvement and Sprint Planning. The dimensions also influence the extent to which team members are encouraged to have fun and their work-life balance, commitment to achieving Sprint Goals and the sustainable working pace, the Definition of “Done”, blocker management, how commitments are made, team cohesion, preparation for and outcomes of Sprint Retrospective, as well as the degree to which the Scrum Master is task-focused or people-focused.
{"title":"THE INFLUENCE OF NATIONAL CULTURE DIMENSIONS ON AGILE PRACTICES: THE CASE OF SOUTH AFRICAN SOFTWARE DEVELOPMENT TEAMS","authors":"Kirwin B Matthews, M. Tanner","doi":"10.33965/ijcsis_2022170206","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170206","url":null,"abstract":"Culture influences how agile frameworks are implemented, and agility is said to be suitable in contexts where flexibility and spontaneity are emphasized. While past studies have investigated the influence of national culture on Agile implementations and practices in Western and Eastern contexts, studies focusing on a South African software development context is limited. Furthermore, few studies have focused on the effect of cultural differences within software engineering in general. The purpose of this study is to describe how national culture influences Agile practices within the South African software development context. In particular, the Hofstede, GLOBE and Schwartz frameworks of national culture were considered. The study was interpretive and was executed using a qualitative, semistructured interview research strategy directed at Agile practitioners in South African software development teams. The thematic analysis technique was used to analyze the data. Eleven propositions were formulated to highlight how national culture dimensions influence Agile practices. The findings reveal that various national culture dimensions influence the decision-making process, the degree of Sprint interruptions, participation in Agile ceremonies, adherence to policies and prescribed Agile practices, how teams reach agreement, approaches to process improvement and Sprint Planning. The dimensions also influence the extent to which team members are encouraged to have fun and their work-life balance, commitment to achieving Sprint Goals and the sustainable working pace, the Definition of “Done”, blocker management, how commitments are made, team cohesion, preparation for and outcomes of Sprint Retrospective, as well as the degree to which the Scrum Master is task-focused or people-focused.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"43 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86245326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-09DOI: 10.33965/ijcsis_2022170202
Elizabeth A. Matthews, I. Koleva, Sujan Basnet
Video games are a popular topic in academia, encompassing many research subtopics. Often researchers investigating video game subjects partition the participants by the participant’s familiarity with video games. Unlike other demographic categories on which research subjects are divided, such as age range or income, sorting participants into gamer skill categories, such as “Expert Gamer”, has no objective consensus on what the labels should be. The inconsistency in terminology makes comparison between research works impossible. Hours per week is often a standard but does not provide statistical significance with many factors and is not as objective as it may seem. This paper highlights this problem, collects demographic questions in existing research, and showcases the data collected from a user study with these questions. The results show that self-chosen categories are a statistically significant metric and is recommended as an easy-to-obtain value.
{"title":"CONSISTENT GAMING SKILL DEMOGRAPHICS IN ACADEMIC RESEARCH","authors":"Elizabeth A. Matthews, I. Koleva, Sujan Basnet","doi":"10.33965/ijcsis_2022170202","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170202","url":null,"abstract":"Video games are a popular topic in academia, encompassing many research subtopics. Often researchers investigating video game subjects partition the participants by the participant’s familiarity with video games. Unlike other demographic categories on which research subjects are divided, such as age range or income, sorting participants into gamer skill categories, such as “Expert Gamer”, has no objective consensus on what the labels should be. The inconsistency in terminology makes comparison between research works impossible. Hours per week is often a standard but does not provide statistical significance with many factors and is not as objective as it may seem. This paper highlights this problem, collects demographic questions in existing research, and showcases the data collected from a user study with these questions. The results show that self-chosen categories are a statistically significant metric and is recommended as an easy-to-obtain value.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"291 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75399673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-09DOI: 10.33965/ijcsis_2022170204
D. Fukui, T. Katsura, M. Egi, N. Komoda, T. Ohkawa
We previously proposed a method for estimating pleasant and unpleasant emotions with high accuracy using only total hemoglobin data measured with a lightweight functional near infrared spectroscopy device. In this study, we used the method to evaluate the accuracy of estimating 20 types of emotions selected as uniformly distributed emotions in Russell’s circumplex model. We first divided the 20 types of emotions into four groups, corresponding to the four quadrants of Russell’s circumplex model and evaluated the estimation accuracy of each quadrant. The results indicate that the activation quadrant was estimated with high accuracy when the emotion was strongly aroused, with 76.7% recall for the pleasant–activation quadrant and 72.2% recall for the unpleasant–activation quadrant. We then evaluated the estimation accuracy of the 20 emotions individually. The results indicate that “excited” and “lethargic” were estimated with high accuracy, with 73.3% recall for “excited” and 61.5% recall for “lethargic,” and recall of “excited” improved to 80% when the emotion was strongly aroused. The results of this study indicate that the more strongly emotions included in activation quadrant in Russell’s circumplex model are aroused, the more accurately they can be classified. “Excited” and “lethargic” could be estimated with high accuracy regardless of the degree of emotional arousal.
{"title":"ESTIMATION OF VARIOUS HUMAN EMOTIONS USING LIGHTWEIGHT FNIRS DEVICE","authors":"D. Fukui, T. Katsura, M. Egi, N. Komoda, T. Ohkawa","doi":"10.33965/ijcsis_2022170204","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170204","url":null,"abstract":"We previously proposed a method for estimating pleasant and unpleasant emotions with high accuracy using only total hemoglobin data measured with a lightweight functional near infrared spectroscopy device. In this study, we used the method to evaluate the accuracy of estimating 20 types of emotions selected as uniformly distributed emotions in Russell’s circumplex model. We first divided the 20 types of emotions into four groups, corresponding to the four quadrants of Russell’s circumplex model and evaluated the estimation accuracy of each quadrant. The results indicate that the activation quadrant was estimated with high accuracy when the emotion was strongly aroused, with 76.7% recall for the pleasant–activation quadrant and 72.2% recall for the unpleasant–activation quadrant. We then evaluated the estimation accuracy of the 20 emotions individually. The results indicate that “excited” and “lethargic” were estimated with high accuracy, with 73.3% recall for “excited” and 61.5% recall for “lethargic,” and recall of “excited” improved to 80% when the emotion was strongly aroused. The results of this study indicate that the more strongly emotions included in activation quadrant in Russell’s circumplex model are aroused, the more accurately they can be classified. “Excited” and “lethargic” could be estimated with high accuracy regardless of the degree of emotional arousal.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"2 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74295241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-27DOI: 10.33965/ijcsis_2022170106
D. Gallico
The paper presents the nuanced role of culture in the sustainable development agenda of the United Nations, highlighting the contribution of House Museums in all the World. Museums are increasingly aware of the need to become more sustainable. To this end, many museums are already doing some green work and green thinking, thus contributing to the United Nations' Sustainable Development Goals (SDG's) and to creating a sustainable future. Government and funding bodies are increasingly demanding environmental assessment. As agents of social responsibility we are expected more and more to deal with the results of environmental change such as flooding and drought, and to fulfil our role as a forum for public debate. We believe that despite the Covid-19 Pandemic and its devastating effect on personal, public, political, economic and cultural life over this past year it is important to also keep looking beyond it. Sustainability remains even more relevant for the future of society and museums alike. The research presents the results about an open call for museums and museum professionals, to have an important role to play in building a more peaceful, equal, and sustainable future. Best practices on sustainability address these issues, examine the challenges, inspire examples and show that a lot is possible.
{"title":"HISTORIC HOUSE MUSEUMS AND THEMATIC INDICATORS FOR CULTURE IN THE 2030 AGENDA","authors":"D. Gallico","doi":"10.33965/ijcsis_2022170106","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170106","url":null,"abstract":"The paper presents the nuanced role of culture in the sustainable development agenda of the United Nations, highlighting the contribution of House Museums in all the World. Museums are increasingly aware of the need to become more sustainable. To this end, many museums are already doing some green work and green thinking, thus contributing to the United Nations' Sustainable Development Goals (SDG's) and to creating a sustainable future. Government and funding bodies are increasingly demanding environmental assessment. As agents of social responsibility we are expected more and more to deal with the results of environmental change such as flooding and drought, and to fulfil our role as a forum for public debate. We believe that despite the Covid-19 Pandemic and its devastating effect on personal, public, political, economic and cultural life over this past year it is important to also keep looking beyond it. Sustainability remains even more relevant for the future of society and museums alike. The research presents the results about an open call for museums and museum professionals, to have an important role to play in building a more peaceful, equal, and sustainable future. Best practices on sustainability address these issues, examine the challenges, inspire examples and show that a lot is possible.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"10 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83152181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-27DOI: 10.33965/ijcsis_2022170102
Cynthia Pickering, Erik Fisher, P. Ross
This paper describes the temporal progression of human and social dimensions that undergraduate information and communications technology (ICT) students realized during an experiential learning externship where they explored digital divide technology solutions for low-income neighborhoods in the surrounding urban community. The described research represents significant adaptation and use of socio-technical integration research (STIR) with undergraduate ICT students engaged in work based experiential learning to promote equity in STEM education, instill a sense of civic responsibility, and practice approaches to tackling complex societal problems. Methods used for the research study included: STIR, semi-structured interviews, and on-site group observations. Using STIR, an embedded social scientist conducted regular one-on-one dialogs with three of four student externs, to collaboratively describe each student’s consideration of human and social dimensions as part of their technical work, explore alternative choices and their potential outcomes, and engage in reflexive learning that in some cases, influenced deliberate changes to material and behavioral practices. The on-site observation of group activities within the ICT innovation center situated in the local urban community provided additional ecosystem context during technical solution design and development of the digital divide solution for local high schools and feeder schools. Outcomes for participating undergraduate ICT students showed: 1) Technology learning improvements for all students; 2) Capacity building to reflect, anticipate and respond to sociotechnical interactions for some students; and 3) Each student was able to progress to a new level of socio-technical learning and decision making. Reflexive discourse with participants surfaced cultural assets and consideration of alternative knowledges in collaborative technology design, development, and implementation that can potentially lead to solutions that are more community centered now and in the future as the ICT students transition to the workforce. them with schoolwork and life." [This is an expansion beyond T0 and T1 that includes future prospects in addition to near-term benefits.]
{"title":"SOCIO-TECHNICAL LEARNING: CONTEXTUALIZING UNDERGRADUATE EXTERNSHIPS TO BRIDGE THE DIGITAL DIVIDE","authors":"Cynthia Pickering, Erik Fisher, P. Ross","doi":"10.33965/ijcsis_2022170102","DOIUrl":"https://doi.org/10.33965/ijcsis_2022170102","url":null,"abstract":"This paper describes the temporal progression of human and social dimensions that undergraduate information and communications technology (ICT) students realized during an experiential learning externship where they explored digital divide technology solutions for low-income neighborhoods in the surrounding urban community. The described research represents significant adaptation and use of socio-technical integration research (STIR) with undergraduate ICT students engaged in work based experiential learning to promote equity in STEM education, instill a sense of civic responsibility, and practice approaches to tackling complex societal problems. Methods used for the research study included: STIR, semi-structured interviews, and on-site group observations. Using STIR, an embedded social scientist conducted regular one-on-one dialogs with three of four student externs, to collaboratively describe each student’s consideration of human and social dimensions as part of their technical work, explore alternative choices and their potential outcomes, and engage in reflexive learning that in some cases, influenced deliberate changes to material and behavioral practices. The on-site observation of group activities within the ICT innovation center situated in the local urban community provided additional ecosystem context during technical solution design and development of the digital divide solution for local high schools and feeder schools. Outcomes for participating undergraduate ICT students showed: 1) Technology learning improvements for all students; 2) Capacity building to reflect, anticipate and respond to sociotechnical interactions for some students; and 3) Each student was able to progress to a new level of socio-technical learning and decision making. Reflexive discourse with participants surfaced cultural assets and consideration of alternative knowledges in collaborative technology design, development, and implementation that can potentially lead to solutions that are more community centered now and in the future as the ICT students transition to the workforce. them with schoolwork and life.\" [This is an expansion beyond T0 and T1 that includes future prospects in addition to near-term benefits.]","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"30 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90369280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-27DOI: 10.33965/ijcsis_2022170104
Fábio Longo de Moura, Filipe de Sá-Soares
There is currently a great demand, which looks set to continue to grow in the near future, for professionals in the Information Systems and Technology area. The search for these professionals faces the difficulty of hiring individuals suited to the company’s culture and who have a set of competencies that can add value to the company in the short term, with the possibility of a lasting relationship and with gains for both parties, employee and employer. However, several references that assist in the structuring of professional profiles do not follow a standard when using the concepts needed to describe professional competencies, falling short to provide a more accurate support to the process of hiring and developing professionals. This work analyzes eight competency frameworks, reviews the definitions of competency-related concepts and proposes a competency grammar to standardize and clarify the specification of competencies, by resorting to Backus-Naur Form. To validate the proposal, Information Systems and Technology professionals, as well as practitioners from four other professional areas, reported attributes of their occupations, in light of the adopted definitions and observing the proposed grammatical rules.
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Pub Date : 2022-07-27DOI: 10.33965/ijcsis_2022170103
Eduard Daoud, Nabil Khalil, M. Gaedke
Counterfeit products are a major problem that the market has faced for a long time. According to the Global Brand Counterfeiting Report 2018, "Amount of Total Counterfeiting, globally has reached to 1.2 Trillion USD in 2017 and is Bound to Reach 1.82 Trillion USD by the Year 2020" a solution to this concern has already been researched and published by the authors in previous research papers published in e-society 2020 and IADIS journal. However, the issue with the previously mentioned solution was that the object detection performance and accuracy in detecting small objects need to be improved. In this paper, a comparison between the current state of the art algorithm YOLO (You Only Look Once) used in the new implementation and the SSD (Single Shot Detector) algorithm, the faster R-CNN (Region-Based Convolutional Neural Networks) used in the old implementation is made under the same condition and using the same training, testing, and validation sets. The comparison is made in the context of the present task to discuss and prove why YOLO is a more suitable option for the counterfeit product detection task.
假冒产品是市场长期面临的一个主要问题。根据《2018年全球品牌假冒报告》，“2017年全球假冒总额已达到1.2万亿美元，到2020年必将达到1.82万亿美元”，这一问题的解决方案已经由作者在之前发表在e-society 2020和IADIS期刊上的研究论文中研究和发表。然而，前面提到的解决方案的问题是，在检测小物体时，物体检测的性能和精度需要提高。本文在相同的条件下，使用相同的训练、测试和验证集，对新实现中使用的当前最先进的算法YOLO (You Only Look Once)和旧实现中使用的更快的R-CNN(基于区域的卷积神经网络)SSD (Single Shot Detector)算法进行了比较。在本任务的背景下进行比较，讨论和证明为什么YOLO是假冒产品检测任务更合适的选择。
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