Pub Date : 2022-12-25DOI: 10.1080/1463922x.2022.2161114
M. Sanda
This study explores and understands the impact of remote teaching using digitised teaching-learning virtual platforms on students' learning objectives and outcomes in Ghanaian Universities. Using a self-administered questionnaire, quantitative data from four hundred and four graduate students whose courses were delivered online due to the COVID-19 pandemic were gathered. Data were analysed using a systemic analytical approach. Confirmatory factor analysis was conducted first, followed by an analysis of moment structures for multiple levels of variables using structural equation modelling. It was found that students' trust in the quality of information they received online, their interactions with instructors, and their interactions with virtual platforms positively affected their trust in the usability of digitised 'teaching-learning' virtual platforms;this had a positive impact on their attainment of learning objectives. In conclusion, students' perceptions of the usability of virtual platforms as classrooms for teaching and learning are influenced by a psychological dynamic between the quality of information they receive from their instructors and the quality of their interactions with instructors and the virtual platforms. The findings offer a good pedagogic understanding of the dynamics of virtual teaching-learning design practices, which may be applied to effectively design virtual classrooms and assignments to improve student learning.
{"title":"Impact of digitised ‘teaching-learning’ virtual platforms on tertiary students’ learning objectives and teaching outcomes","authors":"M. Sanda","doi":"10.1080/1463922x.2022.2161114","DOIUrl":"https://doi.org/10.1080/1463922x.2022.2161114","url":null,"abstract":"This study explores and understands the impact of remote teaching using digitised teaching-learning virtual platforms on students' learning objectives and outcomes in Ghanaian Universities. Using a self-administered questionnaire, quantitative data from four hundred and four graduate students whose courses were delivered online due to the COVID-19 pandemic were gathered. Data were analysed using a systemic analytical approach. Confirmatory factor analysis was conducted first, followed by an analysis of moment structures for multiple levels of variables using structural equation modelling. It was found that students' trust in the quality of information they received online, their interactions with instructors, and their interactions with virtual platforms positively affected their trust in the usability of digitised 'teaching-learning' virtual platforms;this had a positive impact on their attainment of learning objectives. In conclusion, students' perceptions of the usability of virtual platforms as classrooms for teaching and learning are influenced by a psychological dynamic between the quality of information they receive from their instructors and the quality of their interactions with instructors and the virtual platforms. The findings offer a good pedagogic understanding of the dynamics of virtual teaching-learning design practices, which may be applied to effectively design virtual classrooms and assignments to improve student learning.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41972812","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 : 2022-12-21DOI: 10.1080/1463922x.2022.2157065
S. Talapatra, M. Parvez, P. Saha, M. Kibria, A. Hoque
{"title":"Musculoskeletal risk factors assessment based on exploratory factor analysis and fuzzy analytical hierarchy process","authors":"S. Talapatra, M. Parvez, P. Saha, M. Kibria, A. Hoque","doi":"10.1080/1463922x.2022.2157065","DOIUrl":"https://doi.org/10.1080/1463922x.2022.2157065","url":null,"abstract":"","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46175998","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 : 2022-12-19DOI: 10.1080/1463922X.2022.2153495
Changwon Son, F. Sasangohar, S. Peres, J. Moon
Abstract Resilience is an important attribute of incident management teams (IMTs) for managing disasters. Previous research on resilience of IMTs has focused on comparing work-as-imagined (WAI) and work-as-done (WAD) but predominantly used narrative analyses which limited comparisons between IMTs. This paper presents a novel Interaction Episode Analysis (IEA) method to identify the IMT’s WAI and WAD episodes by analyzing dynamic interactions that occur between different roles that carry out information management tasks. Observations and audio-visual recordings of two high-fidelity IMT exercises were conducted to capture WAD episodes, and semi-structured interviews with experts elicited corresponding WAI episodes. Quantitative analyses using five interaction-based measures were conducted to detect differences of the WAD episodes between two IMTs. Next, qualitative analyses were focused on identifying reasons why such differences have occurred by comparing the gaps between WAI and WAD episodes. Some of the reasons for WAI-WAD gaps included the non-occurrence of critical interactions that were expected and occurrence of unexpected interactions between IMT members. This paper also identifies cases of preparatory, proactive, and reactive performance adjustment that characterizes IMT resilience. The IEA method shows promise for investigating how and why the gaps between WAI and WAD in IMTs occur. With the identification of these gaps, future research can be conducted to reconcile the gaps between WAI and WAD episodes, and thus enhance resilience of IMTs in future disasters.
{"title":"Analyzing work-as-imagined and work-as-done of incident management teams using interaction episode analysis","authors":"Changwon Son, F. Sasangohar, S. Peres, J. Moon","doi":"10.1080/1463922X.2022.2153495","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2153495","url":null,"abstract":"Abstract Resilience is an important attribute of incident management teams (IMTs) for managing disasters. Previous research on resilience of IMTs has focused on comparing work-as-imagined (WAI) and work-as-done (WAD) but predominantly used narrative analyses which limited comparisons between IMTs. This paper presents a novel Interaction Episode Analysis (IEA) method to identify the IMT’s WAI and WAD episodes by analyzing dynamic interactions that occur between different roles that carry out information management tasks. Observations and audio-visual recordings of two high-fidelity IMT exercises were conducted to capture WAD episodes, and semi-structured interviews with experts elicited corresponding WAI episodes. Quantitative analyses using five interaction-based measures were conducted to detect differences of the WAD episodes between two IMTs. Next, qualitative analyses were focused on identifying reasons why such differences have occurred by comparing the gaps between WAI and WAD episodes. Some of the reasons for WAI-WAD gaps included the non-occurrence of critical interactions that were expected and occurrence of unexpected interactions between IMT members. This paper also identifies cases of preparatory, proactive, and reactive performance adjustment that characterizes IMT resilience. The IEA method shows promise for investigating how and why the gaps between WAI and WAD in IMTs occur. With the identification of these gaps, future research can be conducted to reconcile the gaps between WAI and WAD episodes, and thus enhance resilience of IMTs in future disasters.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46425588","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 : 2022-12-19DOI: 10.1080/1463922x.2022.2149876
Nazish Shabir, Amina Muazzam
{"title":"Impact of perceived leader’s integrity on employee’s engagement of government sector employees: mediating role of psychological empowerment","authors":"Nazish Shabir, Amina Muazzam","doi":"10.1080/1463922x.2022.2149876","DOIUrl":"https://doi.org/10.1080/1463922x.2022.2149876","url":null,"abstract":"","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45884358","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 : 2022-12-19DOI: 10.1080/1463922x.2022.2157066
P. Hancock
{"title":"Science in peril: the crumbling pillar of peer review","authors":"P. Hancock","doi":"10.1080/1463922x.2022.2157066","DOIUrl":"https://doi.org/10.1080/1463922x.2022.2157066","url":null,"abstract":"","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46556185","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 : 2022-12-08DOI: 10.1080/1463922x.2022.2152900
Kirsty M. Lynch, Victoria A. Banks, A. Roberts, S. Radcliffe, K. Plant
{"title":"What factors may influence decision-making in the operation of Maritime autonomous surface ships? A systematic review","authors":"Kirsty M. Lynch, Victoria A. Banks, A. Roberts, S. Radcliffe, K. Plant","doi":"10.1080/1463922x.2022.2152900","DOIUrl":"https://doi.org/10.1080/1463922x.2022.2152900","url":null,"abstract":"","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45867299","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 : 2022-11-22DOI: 10.1080/1463922x.2022.2148178
Joel Alves, T. M. Lima, P. Gaspar
{"title":"The sociodemographic challenge in human-centred production systems – a systematic literature review","authors":"Joel Alves, T. M. Lima, P. Gaspar","doi":"10.1080/1463922x.2022.2148178","DOIUrl":"https://doi.org/10.1080/1463922x.2022.2148178","url":null,"abstract":"","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47509073","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 : 2022-11-22DOI: 10.1080/1463922X.2022.2135786
Mobin Akhtar, A. Shatat, Shabir Ahamad, Sara Dilshad, Faizan Samdani
Abstract Using artificial intelligence to anticipate weather conditions, according to prior research, can provide positive results. Forecasts of meteorological time series can aid disaster-prevention personnel in making more informed judgments. Deep learning has recently been shown to be a viable technique for solving complicated issues and analyzing large amounts of data. Statistical learning theory is a type of machine learning that combines statistics and functional analysis. To answer the problem of rainfall forecasting, this study employs a statistically-based machine learning technique. The benchmark meteorological data is first pre-processed using data augmentation and data normalization. The machine learning is then given statistical characteristics such as "first order and second order statistical information" for prediction. The Adaptive Searched Scaling factor-based Elephant Herding Optimization (ASS-EHO)is used to optimize the Cascaded Convolutional Neural Network (CNN) for rainfall prediction as an improved prediction model, with parameter tuning such as cascaded CNN count, hidden neuron count, and activation function optimized. The new prediction model is a statistical-based machine learning model in which the aim function is the reduction of the cross entropy loss function. The results are compared to established statistical methodologies, demonstrating that the model may be used to estimate daily rainfall quickly and accurately.
{"title":"Optimized cascaded CNN for intelligent rainfall prediction model: a research towards statistic-based machine learning","authors":"Mobin Akhtar, A. Shatat, Shabir Ahamad, Sara Dilshad, Faizan Samdani","doi":"10.1080/1463922X.2022.2135786","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2135786","url":null,"abstract":"Abstract Using artificial intelligence to anticipate weather conditions, according to prior research, can provide positive results. Forecasts of meteorological time series can aid disaster-prevention personnel in making more informed judgments. Deep learning has recently been shown to be a viable technique for solving complicated issues and analyzing large amounts of data. Statistical learning theory is a type of machine learning that combines statistics and functional analysis. To answer the problem of rainfall forecasting, this study employs a statistically-based machine learning technique. The benchmark meteorological data is first pre-processed using data augmentation and data normalization. The machine learning is then given statistical characteristics such as \"first order and second order statistical information\" for prediction. The Adaptive Searched Scaling factor-based Elephant Herding Optimization (ASS-EHO)is used to optimize the Cascaded Convolutional Neural Network (CNN) for rainfall prediction as an improved prediction model, with parameter tuning such as cascaded CNN count, hidden neuron count, and activation function optimized. The new prediction model is a statistical-based machine learning model in which the aim function is the reduction of the cross entropy loss function. The results are compared to established statistical methodologies, demonstrating that the model may be used to estimate daily rainfall quickly and accurately.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46848654","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 : 2022-11-15DOI: 10.1080/1463922X.2022.2140855
J. Vilchez
Abstract The importance of how cognitive processes (Reasoning) influence on the understanding and the mental representation of road-side elements in form of the movement effects on the path driving must be studied in-depth. Literature shows that the key point to explain the influence of attention on movement is the meaning of the object being processed; literature also shows that the Reasoning with those cues we pay attention to has an effect on driving. By using a driving-simulation task, traffic signs have been tested on their effect on movement. Results show that the least-representative-of-their-meaning signs deviate participants´ movement path more intensively than the most-representative-of-their-meaning signs. Conclusions: Traffic accidents are well-known for their. The results here reported help to improve the cognitive Ergonomics of every road element, specially, traffic signs.
{"title":"Representativity and univocity of traffic signs and their effect of trajectory movement in a tracking task: informative signs","authors":"J. Vilchez","doi":"10.1080/1463922X.2022.2140855","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2140855","url":null,"abstract":"Abstract The importance of how cognitive processes (Reasoning) influence on the understanding and the mental representation of road-side elements in form of the movement effects on the path driving must be studied in-depth. Literature shows that the key point to explain the influence of attention on movement is the meaning of the object being processed; literature also shows that the Reasoning with those cues we pay attention to has an effect on driving. By using a driving-simulation task, traffic signs have been tested on their effect on movement. Results show that the least-representative-of-their-meaning signs deviate participants´ movement path more intensively than the most-representative-of-their-meaning signs. Conclusions: Traffic accidents are well-known for their. The results here reported help to improve the cognitive Ergonomics of every road element, specially, traffic signs.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43530278","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 : 2022-11-11DOI: 10.1080/1463922x.2022.2144961
E. Kerr, Vivek Kant
{"title":"Clarifying the nature of failure in sociotechnical systems: ambiguity-based failure and expectation-based failure","authors":"E. Kerr, Vivek Kant","doi":"10.1080/1463922x.2022.2144961","DOIUrl":"https://doi.org/10.1080/1463922x.2022.2144961","url":null,"abstract":"","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46963814","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}
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