Smart classrooms integrate advanced hardware and software to enhance teaching and learning. They feature interactive displays, videos, and practice exercises to make learning engaging. There are different types of smart classrooms based on their equipment - basic setups involve a projector, computer and screen, while more advanced setups incorporate virtual and augmented reality technologies. Smart classrooms offer several benefits like making abstract concepts concrete through visuals, allowing students to learn at their own pace, and fostering collaboration. They are centered around principles like adaptability, connectivity, comfort, flexibility, and personalization to cater to different learning needs and styles.
Case study 2 Human Computer Interactionkhairulaidid
This Presentation is about how to make a web that suit for some individuals. Also about Flexibility in use, Universal Desing and software that help students to interact or study even covid-19 happen.
Hope give you some idea about this chapter
Face to Face Communication and Text Based Communication in HCIAbdullah Khosa
This document compares face-to-face communication and text-based communication. Face-to-face communication involves non-verbal cues like body language, eye contact, and gestures that aid in conveying meaning. It allows for more natural turn-taking and feedback. However, text-based communication lacks these cues and is more important for self-esteem. While text is less engaging, it is more efficient in terms of speed and saves time compared to face-to-face interaction.
Digital initiatives in higher educationThanavathi C
SWAYAM is India's indigenous online learning platform offering massive open online courses (MOOCs) in all subjects from school to post-graduation level. The document provides details about the various initiatives under SWAYAM including the number of courses available, enrollments, SWAYAM Prabha educational TV channels, National Digital Library of India, Virtual Labs and other projects to promote online and technology-enabled education in India. Over 5 lakh students have been certified and courses have received over 1.25 crore enrollments on the SWAYAM platform.
Social computing refers to the intersection of social behavior and computational systems. It involves using technology to support social interactions and the formation of online communities. In education, social computing tools can facilitate collaboration on projects between students located in different places. They make it easy for people to jointly work on projects and share ideas. Teachers can use social computing to evaluate student work in progress and provide feedback.
This document summarizes Basil Bernstein's concepts related to language codes and their application to Cambodian education. It discusses Bernstein's distinction between restricted and elaborated codes, and how they relate to social class. It also covers Bernstein's views on how schools organize knowledge through instrumental and expressive cultures, and how this impacts pedagogy, social control and roles. The document concludes that Bernstein's concepts can assist in understanding schools, curriculum, teaching practices and their relationships with society.
Este documento discute las diferencias entre la cultura popular participativa de los jóvenes fuera de la escuela y el modelo transmisivo que predomina dentro de las instituciones educativas. Mientras que los jóvenes usan las redes sociales para colaborar y participar de forma interactiva, las escuelas aún se basan en métodos como lecciones magistrales y libros de texto. El documento argumenta que las escuelas necesitan actualizar sus principios, metodologías y uso de la tecnología para alinearse mejor con la cultura participativa del siglo
This document discusses issue-based metrics and self-reported metrics for measuring user experience. It describes issue-based metrics as involving qualitative data about usability issues identified during user studies, including severity ratings of issues. Self-reported metrics involve subjective data collected through questionnaires and interviews using rating scales, the System Usability Scale, and other methods. Key considerations for both include identifying and analyzing patterns in issues and responses to focus design improvements.
Smart classrooms integrate advanced hardware and software to enhance teaching and learning. They feature interactive displays, videos, and practice exercises to make learning engaging. There are different types of smart classrooms based on their equipment - basic setups involve a projector, computer and screen, while more advanced setups incorporate virtual and augmented reality technologies. Smart classrooms offer several benefits like making abstract concepts concrete through visuals, allowing students to learn at their own pace, and fostering collaboration. They are centered around principles like adaptability, connectivity, comfort, flexibility, and personalization to cater to different learning needs and styles.
Case study 2 Human Computer Interactionkhairulaidid
This Presentation is about how to make a web that suit for some individuals. Also about Flexibility in use, Universal Desing and software that help students to interact or study even covid-19 happen.
Hope give you some idea about this chapter
Face to Face Communication and Text Based Communication in HCIAbdullah Khosa
This document compares face-to-face communication and text-based communication. Face-to-face communication involves non-verbal cues like body language, eye contact, and gestures that aid in conveying meaning. It allows for more natural turn-taking and feedback. However, text-based communication lacks these cues and is more important for self-esteem. While text is less engaging, it is more efficient in terms of speed and saves time compared to face-to-face interaction.
Digital initiatives in higher educationThanavathi C
SWAYAM is India's indigenous online learning platform offering massive open online courses (MOOCs) in all subjects from school to post-graduation level. The document provides details about the various initiatives under SWAYAM including the number of courses available, enrollments, SWAYAM Prabha educational TV channels, National Digital Library of India, Virtual Labs and other projects to promote online and technology-enabled education in India. Over 5 lakh students have been certified and courses have received over 1.25 crore enrollments on the SWAYAM platform.
Social computing refers to the intersection of social behavior and computational systems. It involves using technology to support social interactions and the formation of online communities. In education, social computing tools can facilitate collaboration on projects between students located in different places. They make it easy for people to jointly work on projects and share ideas. Teachers can use social computing to evaluate student work in progress and provide feedback.
This document summarizes Basil Bernstein's concepts related to language codes and their application to Cambodian education. It discusses Bernstein's distinction between restricted and elaborated codes, and how they relate to social class. It also covers Bernstein's views on how schools organize knowledge through instrumental and expressive cultures, and how this impacts pedagogy, social control and roles. The document concludes that Bernstein's concepts can assist in understanding schools, curriculum, teaching practices and their relationships with society.
Este documento discute las diferencias entre la cultura popular participativa de los jóvenes fuera de la escuela y el modelo transmisivo que predomina dentro de las instituciones educativas. Mientras que los jóvenes usan las redes sociales para colaborar y participar de forma interactiva, las escuelas aún se basan en métodos como lecciones magistrales y libros de texto. El documento argumenta que las escuelas necesitan actualizar sus principios, metodologías y uso de la tecnología para alinearse mejor con la cultura participativa del siglo
This document discusses issue-based metrics and self-reported metrics for measuring user experience. It describes issue-based metrics as involving qualitative data about usability issues identified during user studies, including severity ratings of issues. Self-reported metrics involve subjective data collected through questionnaires and interviews using rating scales, the System Usability Scale, and other methods. Key considerations for both include identifying and analyzing patterns in issues and responses to focus design improvements.
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMSSteven Wallach
This document introduces two volumes on applications of human-computer interaction (HCI) research in management information systems (MIS). The first volume covers HCI concepts and theories, while this second volume focuses on applications, case studies, and specific contexts. Some areas covered include electronic commerce, collaboration, culture/globalization, training/learning, system development processes, healthcare, and research methodology. The introduction provides context on the interdisciplinary nature of HCI research and its practical applications across many fields.
Recognition the needs and acceptance of individuals is the beginning stage of any businesses and this understanding would be helpful to find the way of future development, thus academicians are interested to realize the factors that drive users’ acceptance or rejection of technologies. A number of models and frameworks have been developed to explain user adoption of new technologies and these models introduce factors that can affect the user acceptance. This presentation provides an overview of theories and models regarding user acceptance of technology has provided.
1. The document discusses food practices as situated action, exploring everyday food practices of households through interviews and shop-alongs.
2. It identifies several patterns of situated food practices, such as implicit planning and stocking up on food. These practices are influenced by various household and social factors.
3. The outcomes suggest opportunities for design solutions to help people address food-related challenges and misconceptions. The study demonstrates how understanding everyday practices can inform the design of technologies.
This document discusses the differences between theoretical frameworks and conceptual frameworks. It provides examples of each from educational research, health psychology research, marketing research, and environmental economics research. A theoretical framework uses a single formal theory to understand a research problem, while a conceptual framework incorporates one or more theories along with other concepts from literature. The decision to use a theoretical framework or conceptual framework depends on whether established theories apply to the research topic or if unique variables require exploration. Aligning a statement of problem with the chosen framework establishes context, clarifies rationale, frames research questions, provides a theoretical lens, and ensures consistency.
Systems Thinking in Practice - an Open University showcasedtr4open
Presentation details the Open University's Systems Thinking in Practice Masters programme along with examples of practice from STiP Alumni as showcased at the UK Public Sector Show April 2013.
Computational models are increasingly being used to address complex sustainability challenges. Three sentences:
1) Computational techniques like system dynamics, agent-based modeling, and network analysis can help designers simulate social systems and prioritize interventions or stakeholder engagement for issues like plastic waste or sustainable industries.
2) However, modeling social systems raises questions around modeling human behavior, integrating modeling into design processes, and developing models with limited data.
3) Case studies are proposed to demonstrate how computational modeling could help redesign markets for material reuse and mental healthcare systems by simulating ecosystems and identifying sources of stagnation.
This document provides an overview of theoretical perspectives and methodologies used in learning design research. It discusses how researchers come from a variety of disciplines including education, computer science, psychology, and more. Common theoretical perspectives discussed include sociocultural theories like cultural historical activity theory, communities of practice, and actor network theory. Methodologies used include qualitative approaches like ethnography, case studies, and action research as well as quantitative content analysis and evaluation. The relationship between theories, methods, and different epistemological stances is also examined.
1.The main purpose of this presentation is to share some of the major aspects of considering management research as a practically- oriented social science in terms of its similarities to, and differences from , the other social sciences and the natural sciences.
2.to explore the implications of it being a practically-oriented type of knowledge producing activity.
3.to share its position as a social science in relation to other sciences and scientific knowledge in general through a discussion of three major points in the 'naturalism' debate.
Mixed Methods Research Approaches:Warrant Consideration Phenomena in theMetho...iosrjce
IOSR Journal of Humanities and Social Science is a double blind peer reviewed International Journal edited by International Organization of Scientific Research (IOSR).The Journal provides a common forum where all aspects of humanities and social sciences are presented. IOSR-JHSS publishes original papers, review papers, conceptual framework, analytical and simulation models, case studies, empirical research, technical notes etc.
This document summarizes a longer document about factors that influence human behavior and how understanding these factors can help develop effective communications strategies. It discusses three levels that influence behavior - personal, social, and environmental factors. Personal factors include knowledge, attitudes, habits, and beliefs. Social factors refer to interpersonal influences, and environmental factors include local and wider contextual influences. The document also provides overviews of behavioral economics principles and theories of behavior change. It emphasizes that to effectively influence behavior, communications strategies need to address factors at multiple levels rather than just focusing on one.
This document summarizes a longer document about factors that influence human behavior and how understanding these factors can help develop effective communications strategies. It discusses three levels of factors - personal, social, and environmental - that influence behavior according to social psychology models. Personal factors include knowledge, attitudes, habits, and self-efficacy. Social factors include social norms, social support and identity. The document also provides an overview of behavioral economics principles and theories of behavior change. It emphasizes the importance of understanding how multiple factors at all levels can influence a behavior when developing communications to change behaviors.
Identifying Structures in Social Conversations in NSCLC Patients through the ...IJERA Editor
The exploration of social conversations for addressing patient’s needs is an important analytical task in which
many scholarly publications are contributing to fill the knowledge gap in this area. The main difficulty remains
the inability to turn such contributions into pragmatic processes the pharmaceutical industry can leverage in
order to generate insight from social media data, which can be considered as one of the most challenging source
of information available today due to its sheer volume and noise. This study is based on the work by Scott
Spangler and Jeffrey Kreulen and applies it to identify structure in social media through the extraction of a
topical taxonomy able to capture the latent knowledge in social conversations in health-related sites. The
mechanism for automatically identifying and generating a taxonomy from social conversations is developed and
pressured tested using public data from media sites focused on the needs of cancer patients and their families.
Moreover, a novel method for generating the category’s label and the determination of an optimal number of
categories is presented which extends Scott and Jeffrey’s research in a meaningful way. We assume the reader is
familiar with taxonomies, what they are and how they are used.
Identifying Structures in Social Conversations in NSCLC Patients through the ...IJERA Editor
The exploration of social conversations for addressing patient’s needs is an important analytical task in which
many scholarly publications are contributing to fill the knowledge gap in this area. The main difficulty remains
the inability to turn such contributions into pragmatic processes the pharmaceutical industry can leverage in
order to generate insight from social media data, which can be considered as one of the most challenging source
of information available today due to its sheer volume and noise. This study is based on the work by Scott
Spangler and Jeffrey Kreulen and applies it to identify structure in social media through the extraction of a
topical taxonomy able to capture the latent knowledge in social conversations in health-related sites. The
mechanism for automatically identifying and generating a taxonomy from social conversations is developed and
pressured tested using public data from media sites focused on the needs of cancer patients and their families.
Moreover, a novel method for generating the category’s label and the determination of an optimal number of
categories is presented which extends Scott and Jeffrey’s research in a meaningful way. We assume the reader is
familiar with taxonomies, what they are and how they are used.
MELJUN CORTES research seminar_1__theoretical_framework_2nd_updatedMELJUN CORTES
The document discusses various frameworks and methodologies for theoretical and conceptual frameworks in research, including:
1) Nunamaker's multi-methodological approach to IS research which combines observation, theory building, systems development, and experimentation.
2) The software engineering research methodology which has three phases - conceptual, formal, and developmental.
3) The DAGS framework which integrates design science, action research, grounded theory, and system development methodologies.
4) Grounded theory which is an inductive methodology that allows theories to emerge from data through constant comparison and theoretical sampling.
KEYSTONE HPSR Initiative // Module 7: Realist evaluation // Slideshow 1: Realist and theory driven approaches in HPSR
This is the only slideshow of Module 7: Realist evaluation, of the KEYSTONE Teaching and Learning Resources for Health Policy and Systems Research
To access video sessions and slides for all modules copy and past the following link in your browser:
http://bit.ly/25vVVp1
Module 7: Realist evaluation
Programmes and policies are complex in their design and implementation because of the number of interacting agents, components and forces that influence people and organisations in a given system. In this module through the realist evaluation approach explores why programmes/interventions work for some and not for others and getting to the core issue of trying to understand the conditions under which the interventions works.
There is 1 slideshow in this module.
Module 7: Realist evaluation
Module 7 Slideshow 1: Realist and theory- driven approaches in HPSR
The other modules in this series are:
Module 1: Introducing Health Systems & Health Policy
Module 2: Social justice, equity & gender
Module 3: System complexity
Module 4: Health Policy and Systems Research frameworks
Module 5: Economic analysis
Module 6: Policy analysis
Module 8: Systems thinking
Module 9: Ethnography
Module 10: Implementation research
Module 11: Participatory action research
Module 12: Knowledge translation
Module 13: Research Plan Writing
KEYSTONE is a collective initiative of several Indian health policy and systems research (HPSR) organizations to strengthen national capacity in HPSR towards addressing critical needs of health systems and policy development. KEYSTONE is convened by the Public Health Foundation of India in its role as Nodal Institute of the Alliance for Health Policy and Systems Research (AHPSR).
The inaugural KEYSTONE short course was conducted in New Delhi from 23 February – 5 March 2015. In the process of delivering the inaugural course, a suite of teaching and learning materials were developed under Creative Commons license, and are being made available as open access resources. The KEYSTONE teaching and learning resources include 38 videos and 32 slide presentations organized into 13 modules. These materials cover foundational concepts, common approaches used in HPSR, and guidance for preparing a research plan.
These resources were created and are made available through support and funding from the Alliance for Health Policy & Systems Research (AHPSR), WHO for the KEYSTONE initiative.
The five main approaches of psychology are behavioral, cognitive, biological, humanistic, and psychodynamic. The behavioral approach focuses on how environmental stimuli shape learning and behavior. The cognitive approach examines internal mental processes like thinking and memory. The biological approach studies how biology and neuroscience influence behavior. The humanistic approach emphasizes self-actualization, free will, and human potential. The psychodynamic approach developed by Freud focuses on unconscious thoughts and drives and their influence on behavior. Each approach provides a different perspective on understanding human behavior and the mind.
This document discusses interdisciplinary research. It defines interdisciplinary research as integrating knowledge and methods from different disciplines to address a research question. The document outlines the need for interdisciplinary research to solve interconnected problems in an interconnected world. It also discusses the process of conceptual design, technical design, integration, and addressing scientific and ethical considerations. Some benefits of interdisciplinary research include addressing bigger questions, developing a wider audience, and gaining new perspectives. However, challenges can include differences in theoretical backgrounds, operationalizing concepts, intellectual traditions, and methodological approaches between disciplines.
Compeau higgins1996 tima roma-aramis 2019-2020Tima A. Roma
Application of Social Cognitive Theory to
Training for Computer Skills
(Deborah R. Compeau & Christopher A. Higgins, June 1995)
Social Cognitive Theory (SCT)(1986)
Albert Bandura
In this case study we identify the factors that influence the adoption of a new system in a major company in Saudi Arabia. We develop a theoretical framework to help derive better understanding of system adoption via socio-technical integration.
We formulation of 14 hypotheses that were tested via a survey of 42 system users. Management support and change management were found to be significant factors influencing system adoption. As a result, the 14 null hypotheses were rejected due to their statistical significance (p-value < 0.05). Discussions and recommendations for future research are discussed.
A Literature Review of Quantitative Persona CreationMinjoon Kim
This paper provides a literature review of quantitative persona creation (QPC), which uses algorithmic methods to create personas from numerical and textual data. The paper analyzes 47 research papers on QPC. It identifies three stages of evolution for QPC methods, from using basic clustering techniques on survey data to leveraging large datasets from social media and APIs. Key trends include higher automation, interactive persona systems, and combining automatic and manual methods. The paper also discusses research gaps in developing standards, addressing ethics concerns, and retaining benefits of qualitative persona creation. It concludes with recommendations to advance the field of QPC.
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMSSteven Wallach
This document introduces two volumes on applications of human-computer interaction (HCI) research in management information systems (MIS). The first volume covers HCI concepts and theories, while this second volume focuses on applications, case studies, and specific contexts. Some areas covered include electronic commerce, collaboration, culture/globalization, training/learning, system development processes, healthcare, and research methodology. The introduction provides context on the interdisciplinary nature of HCI research and its practical applications across many fields.
Recognition the needs and acceptance of individuals is the beginning stage of any businesses and this understanding would be helpful to find the way of future development, thus academicians are interested to realize the factors that drive users’ acceptance or rejection of technologies. A number of models and frameworks have been developed to explain user adoption of new technologies and these models introduce factors that can affect the user acceptance. This presentation provides an overview of theories and models regarding user acceptance of technology has provided.
1. The document discusses food practices as situated action, exploring everyday food practices of households through interviews and shop-alongs.
2. It identifies several patterns of situated food practices, such as implicit planning and stocking up on food. These practices are influenced by various household and social factors.
3. The outcomes suggest opportunities for design solutions to help people address food-related challenges and misconceptions. The study demonstrates how understanding everyday practices can inform the design of technologies.
This document discusses the differences between theoretical frameworks and conceptual frameworks. It provides examples of each from educational research, health psychology research, marketing research, and environmental economics research. A theoretical framework uses a single formal theory to understand a research problem, while a conceptual framework incorporates one or more theories along with other concepts from literature. The decision to use a theoretical framework or conceptual framework depends on whether established theories apply to the research topic or if unique variables require exploration. Aligning a statement of problem with the chosen framework establishes context, clarifies rationale, frames research questions, provides a theoretical lens, and ensures consistency.
Systems Thinking in Practice - an Open University showcasedtr4open
Presentation details the Open University's Systems Thinking in Practice Masters programme along with examples of practice from STiP Alumni as showcased at the UK Public Sector Show April 2013.
Computational models are increasingly being used to address complex sustainability challenges. Three sentences:
1) Computational techniques like system dynamics, agent-based modeling, and network analysis can help designers simulate social systems and prioritize interventions or stakeholder engagement for issues like plastic waste or sustainable industries.
2) However, modeling social systems raises questions around modeling human behavior, integrating modeling into design processes, and developing models with limited data.
3) Case studies are proposed to demonstrate how computational modeling could help redesign markets for material reuse and mental healthcare systems by simulating ecosystems and identifying sources of stagnation.
This document provides an overview of theoretical perspectives and methodologies used in learning design research. It discusses how researchers come from a variety of disciplines including education, computer science, psychology, and more. Common theoretical perspectives discussed include sociocultural theories like cultural historical activity theory, communities of practice, and actor network theory. Methodologies used include qualitative approaches like ethnography, case studies, and action research as well as quantitative content analysis and evaluation. The relationship between theories, methods, and different epistemological stances is also examined.
1.The main purpose of this presentation is to share some of the major aspects of considering management research as a practically- oriented social science in terms of its similarities to, and differences from , the other social sciences and the natural sciences.
2.to explore the implications of it being a practically-oriented type of knowledge producing activity.
3.to share its position as a social science in relation to other sciences and scientific knowledge in general through a discussion of three major points in the 'naturalism' debate.
Mixed Methods Research Approaches:Warrant Consideration Phenomena in theMetho...iosrjce
IOSR Journal of Humanities and Social Science is a double blind peer reviewed International Journal edited by International Organization of Scientific Research (IOSR).The Journal provides a common forum where all aspects of humanities and social sciences are presented. IOSR-JHSS publishes original papers, review papers, conceptual framework, analytical and simulation models, case studies, empirical research, technical notes etc.
This document summarizes a longer document about factors that influence human behavior and how understanding these factors can help develop effective communications strategies. It discusses three levels that influence behavior - personal, social, and environmental factors. Personal factors include knowledge, attitudes, habits, and beliefs. Social factors refer to interpersonal influences, and environmental factors include local and wider contextual influences. The document also provides overviews of behavioral economics principles and theories of behavior change. It emphasizes that to effectively influence behavior, communications strategies need to address factors at multiple levels rather than just focusing on one.
This document summarizes a longer document about factors that influence human behavior and how understanding these factors can help develop effective communications strategies. It discusses three levels of factors - personal, social, and environmental - that influence behavior according to social psychology models. Personal factors include knowledge, attitudes, habits, and self-efficacy. Social factors include social norms, social support and identity. The document also provides an overview of behavioral economics principles and theories of behavior change. It emphasizes the importance of understanding how multiple factors at all levels can influence a behavior when developing communications to change behaviors.
Identifying Structures in Social Conversations in NSCLC Patients through the ...IJERA Editor
The exploration of social conversations for addressing patient’s needs is an important analytical task in which
many scholarly publications are contributing to fill the knowledge gap in this area. The main difficulty remains
the inability to turn such contributions into pragmatic processes the pharmaceutical industry can leverage in
order to generate insight from social media data, which can be considered as one of the most challenging source
of information available today due to its sheer volume and noise. This study is based on the work by Scott
Spangler and Jeffrey Kreulen and applies it to identify structure in social media through the extraction of a
topical taxonomy able to capture the latent knowledge in social conversations in health-related sites. The
mechanism for automatically identifying and generating a taxonomy from social conversations is developed and
pressured tested using public data from media sites focused on the needs of cancer patients and their families.
Moreover, a novel method for generating the category’s label and the determination of an optimal number of
categories is presented which extends Scott and Jeffrey’s research in a meaningful way. We assume the reader is
familiar with taxonomies, what they are and how they are used.
Identifying Structures in Social Conversations in NSCLC Patients through the ...IJERA Editor
The exploration of social conversations for addressing patient’s needs is an important analytical task in which
many scholarly publications are contributing to fill the knowledge gap in this area. The main difficulty remains
the inability to turn such contributions into pragmatic processes the pharmaceutical industry can leverage in
order to generate insight from social media data, which can be considered as one of the most challenging source
of information available today due to its sheer volume and noise. This study is based on the work by Scott
Spangler and Jeffrey Kreulen and applies it to identify structure in social media through the extraction of a
topical taxonomy able to capture the latent knowledge in social conversations in health-related sites. The
mechanism for automatically identifying and generating a taxonomy from social conversations is developed and
pressured tested using public data from media sites focused on the needs of cancer patients and their families.
Moreover, a novel method for generating the category’s label and the determination of an optimal number of
categories is presented which extends Scott and Jeffrey’s research in a meaningful way. We assume the reader is
familiar with taxonomies, what they are and how they are used.
MELJUN CORTES research seminar_1__theoretical_framework_2nd_updatedMELJUN CORTES
The document discusses various frameworks and methodologies for theoretical and conceptual frameworks in research, including:
1) Nunamaker's multi-methodological approach to IS research which combines observation, theory building, systems development, and experimentation.
2) The software engineering research methodology which has three phases - conceptual, formal, and developmental.
3) The DAGS framework which integrates design science, action research, grounded theory, and system development methodologies.
4) Grounded theory which is an inductive methodology that allows theories to emerge from data through constant comparison and theoretical sampling.
KEYSTONE HPSR Initiative // Module 7: Realist evaluation // Slideshow 1: Realist and theory driven approaches in HPSR
This is the only slideshow of Module 7: Realist evaluation, of the KEYSTONE Teaching and Learning Resources for Health Policy and Systems Research
To access video sessions and slides for all modules copy and past the following link in your browser:
http://bit.ly/25vVVp1
Module 7: Realist evaluation
Programmes and policies are complex in their design and implementation because of the number of interacting agents, components and forces that influence people and organisations in a given system. In this module through the realist evaluation approach explores why programmes/interventions work for some and not for others and getting to the core issue of trying to understand the conditions under which the interventions works.
There is 1 slideshow in this module.
Module 7: Realist evaluation
Module 7 Slideshow 1: Realist and theory- driven approaches in HPSR
The other modules in this series are:
Module 1: Introducing Health Systems & Health Policy
Module 2: Social justice, equity & gender
Module 3: System complexity
Module 4: Health Policy and Systems Research frameworks
Module 5: Economic analysis
Module 6: Policy analysis
Module 8: Systems thinking
Module 9: Ethnography
Module 10: Implementation research
Module 11: Participatory action research
Module 12: Knowledge translation
Module 13: Research Plan Writing
KEYSTONE is a collective initiative of several Indian health policy and systems research (HPSR) organizations to strengthen national capacity in HPSR towards addressing critical needs of health systems and policy development. KEYSTONE is convened by the Public Health Foundation of India in its role as Nodal Institute of the Alliance for Health Policy and Systems Research (AHPSR).
The inaugural KEYSTONE short course was conducted in New Delhi from 23 February – 5 March 2015. In the process of delivering the inaugural course, a suite of teaching and learning materials were developed under Creative Commons license, and are being made available as open access resources. The KEYSTONE teaching and learning resources include 38 videos and 32 slide presentations organized into 13 modules. These materials cover foundational concepts, common approaches used in HPSR, and guidance for preparing a research plan.
These resources were created and are made available through support and funding from the Alliance for Health Policy & Systems Research (AHPSR), WHO for the KEYSTONE initiative.
The five main approaches of psychology are behavioral, cognitive, biological, humanistic, and psychodynamic. The behavioral approach focuses on how environmental stimuli shape learning and behavior. The cognitive approach examines internal mental processes like thinking and memory. The biological approach studies how biology and neuroscience influence behavior. The humanistic approach emphasizes self-actualization, free will, and human potential. The psychodynamic approach developed by Freud focuses on unconscious thoughts and drives and their influence on behavior. Each approach provides a different perspective on understanding human behavior and the mind.
This document discusses interdisciplinary research. It defines interdisciplinary research as integrating knowledge and methods from different disciplines to address a research question. The document outlines the need for interdisciplinary research to solve interconnected problems in an interconnected world. It also discusses the process of conceptual design, technical design, integration, and addressing scientific and ethical considerations. Some benefits of interdisciplinary research include addressing bigger questions, developing a wider audience, and gaining new perspectives. However, challenges can include differences in theoretical backgrounds, operationalizing concepts, intellectual traditions, and methodological approaches between disciplines.
Compeau higgins1996 tima roma-aramis 2019-2020Tima A. Roma
Application of Social Cognitive Theory to
Training for Computer Skills
(Deborah R. Compeau & Christopher A. Higgins, June 1995)
Social Cognitive Theory (SCT)(1986)
Albert Bandura
In this case study we identify the factors that influence the adoption of a new system in a major company in Saudi Arabia. We develop a theoretical framework to help derive better understanding of system adoption via socio-technical integration.
We formulation of 14 hypotheses that were tested via a survey of 42 system users. Management support and change management were found to be significant factors influencing system adoption. As a result, the 14 null hypotheses were rejected due to their statistical significance (p-value < 0.05). Discussions and recommendations for future research are discussed.
A Literature Review of Quantitative Persona CreationMinjoon Kim
This paper provides a literature review of quantitative persona creation (QPC), which uses algorithmic methods to create personas from numerical and textual data. The paper analyzes 47 research papers on QPC. It identifies three stages of evolution for QPC methods, from using basic clustering techniques on survey data to leveraging large datasets from social media and APIs. Key trends include higher automation, interactive persona systems, and combining automatic and manual methods. The paper also discusses research gaps in developing standards, addressing ethics concerns, and retaining benefits of qualitative persona creation. It concludes with recommendations to advance the field of QPC.
A Picture-based Approach to Recommender SystemsMinjoon Kim
This approach utilizes factors from tourist roles and the "Big 5" personality traits. These factors are then paired with vacation related images, which are then used to recommend pictures based on picture selection
Relating Personality Types with User Preferences in Multiple Entertainment Do...Minjoon Kim
This document describes a study that analyzed the relationship between personality types and user preferences across multiple entertainment domains (movies, TV shows, music, books). The study collected personality and preference data from over 50,000 Facebook users and analyzed it to identify personality-based stereotypes for each domain. Association rules were also generated using an Apriori algorithm to identify relationships between personality factors and domain-specific preferences. The results provide insights into how personality differences correlate with differences in preferences across entertainment domains and genres.
The User Experience of Chatbots - Nielsen Norman GroupMinjoon Kim
This document summarizes guidelines for designing effective chatbots. It discusses findings from a study with 8 US participants who performed tasks with different types of chatbots. Customer service bots were seen as less helpful than interaction bots. Participants preferred bots that were upfront about being non-human and had clear purpose. Linear conversational flows worked best when bots could adapt to unexpected inputs and leverage prior context. Politeness was dropped with bots. Overall, chatbots were perceived as most useful for power users completing repetitive simple tasks, while websites remained a better investment for most companies.
The document discusses criticisms of the field of human-computer interaction (HCI) and proposes an approach to understanding HCI as problem-solving. It summarizes HCI research as addressing three types of problems - empirical, conceptual, and constructive. It evaluates whether the field is doing a good job based on analyses of award-winning papers, finding they focus more on empirical and constructive problems and that conceptual problems are underrepresented. It concludes the field could improve by more clearly defining what constitutes a significant research problem and good research.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against developing mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Towards A Rigorous Science of Interpretable Machine LearningMinjoon Kim
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Contextual Aspects of Typical Viewing Situations - Vanattenhoven, GeertsMinjoon Kim
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help enhance one's emotional well-being and mental clarity.
The document discusses the 4th Industrial Revolution brought about by emerging technologies like artificial intelligence and their convergence with the digital and physical worlds. It notes how 65% of today's children under 7 will have jobs that don't exist yet. It then compares the 4 industrial revolutions and discusses how AI and the web are combining, with web technologies advancing from read-only Web 1.0 to integrating AI for better services. The Physical Web is introduced as an open approach using Bluetooth beacons, smartphone scanners, and URLs to enable quick interactions with physical objects and locations without needing an app.
Interacting with an Inferred World: the Challenge of Machine Learning for Hum...Minjoon Kim
This document discusses the challenges of machine learning systems for human-computer interaction. It argues that while classic theories of interaction were based on symbolic models, modern machine learning systems are based on statistical models trained on large datasets. This raises new questions for how to design systems that are humane and give users a sense of agency, control, and self-determination over systems whose behaviors emerge from complex statistical inferences rather than explicit symbolic rules. It also questions how to ensure proper attribution of content and address issues like bias, privacy, and accountability in these inferred statistical worlds.
Deployment of Smart Spaces in the Internet of Things: Overview of Design Chal...Minjoon Kim
The document discusses the design challenges of deploying smart spaces in the Internet of Things. It describes the smart spaces paradigm which utilizes digital devices and services to share information. It introduces the M3 concept of multi-device, multi-domain, multi-vendor spaces and the use of knowledge processors and semantic information brokers to organize shared knowledge. The key design challenges are interoperability across different devices and standards, information processing and reasoning over collected data, and ensuring security and privacy as information is shared.
Applied Artificial Intelligence and TrustMinjoon Kim
1. The document discusses two papers related to trust in autonomous technologies like self-driving cars and medical devices. The first paper examines how trust is built over time from predictability to dependability to reliability. It also discusses the importance of trust in the innovating firm.
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Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
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detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
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dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
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Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
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- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Behavioral Change Theories in HCI
1. 04/04 랩미팅
박사과정 김민준
1. Background
2. Terminology
3. Forms of Behavioral Theory
4. Uses of Behavioral Theories in HCI
5. Shortcomings / HCI Contributions to Behavioral Theory
Behavioral Change Theories in HCI
3. 1. Background
My interests
: using technology to “nudge” or change people’s behavior
: understanding the user in a log-based manner
In HCI, this is called captology, or persuasive tech.
An abundance of works in captology draw on behavioral change theories
and behavioral economics
Goals of today:
1. provide an overview of different forms of behavioral theory,
2. discuss the current uses of behavioral theory in HCI
3. notice the shortcomings of behavior theories,
4. finding ways to use behavioral theories/economics in HCI research
4. A common definition of behavioral theory proposed by Glanz and Rimer:
“…a systematic way of understanding events or situations. It is a set of concepts,
definitions, and propositions that explain or predict these events situations by
illustrating the relationships between variables.”
2. Terminology
5. Constructs
: fundamental components of a behavioral theory
Variables
: operational definitions of the constructs, particularly as they are defined in context
Design guidelines
: the principles formulated by HCI researchers to make behavioral theory and
empirical findings actionable for designing behavior change technologies
Behavior change technologies
: the broad array of systems and artifacts developed to foster and assist behavior
change and sustainment
Definitions
2. Terminology
6. 3. Forms of Behavioral Theory
Forms of behavioral theory across levels of generality
7. 3. Forms of Behavioral Theory
Meta-models
: organizational structures of multiple levels of influence on individual behavior
example) social ecological model:
in health-related behavioral science, this model identifies broad “levels” of inter-
related associations and factors of influence on a behavior of interest.
• micro-level factors such as genetics and biology,
• meso-level factors such as interpersonal relationships and,
• macro-level factors such as urban design, public policy, and culture.
meta-models are valuable for identifying the “lens” a researcher is using and other
“lenses” not currently emphasized by the researcher or the community at large.
Authors’ notes:
1. meta-models are typically short on specifics about determinants of behavior
2. too often meta-models have too many levels of influence to adequately evaluate
3. The use of meta-models in design requires a great deal of conceptual and formative work
to translate into pragmatic design guideliness and system features
8. 3. Forms of Behavioral Theory
Conceptual Frameworks
: describe relationships among the fundamental building blocks of a behavioral theory,
constructs, and provide a more specific account of how constructs are inter-related
Conceptual frameworks encompass several commonly used theories, including:
• Transtheoretical model
• Self-efficacy theory
• Theory of planned behavior
• Health belief model
• Self-determination theory
Authors’ notes:
1. conceptual frameworks provide more specific guidance to the design and implementation
2. have the potential to disregard key factors that may be influencing a behavior
9. 3. Forms of Behavioral Theory
Constructs
: the basic determinants or mechanisms that a theory postulates to influence behavior
Authors’ notes:
1. A common practice is to selectively use constructs from one or more theories.have the potential
to disregard key factors that may be influencing a behavior
2. this practice makes it difficult to evaluate the utility of the entire conceptual framework
as the entire framework was not tested.
example) social cognitive theory and self-efficacy
: holds that portions of an individual's knowledge acquisition can be directly
related to observing others within the context of social interactions, experiences,
and outside media influences.
self-efficacy (construct), along with other constructs such as outcome expectancies
are key determinant of behavior.
10. 3. Forms of Behavioral Theory
Empirical Findings
: used when previously developed theories are insufficient to guide HCI research
In such cases, additional empirical work — often in the form of ethnographic and
other qualitative approaches — can generate knowledge necessary to establish a
starting point for design.
Empirical findings, by virtue of being observed in a given context, must be abstracted
in some way to create generalized knowledge.
Findings from empirical work should not directly be generalized.
: such generalizations should be tempered by factors such as the target
participant group, study length and size, and other relevant contexts.
11. 4. Uses of Behavioral Theories in HCI
1. to inform the design of technical systems
2. to guide evaluation strategies
3. to define target users
Three broad uses of behavioral theory in HCI
12. 4. Uses of Behavioral Theories in HCI
Informing the design of technical systems
• Weekly activity goals based on goal-setting theory
• Rewards for performed behavior on the transtheoretical model
• stylized display of performance information based on
Goffman’s theory of presentation of self in everyday life
Sunny Consolvo, David W. McDonald, and James A. Landay. 2009. Theory-driven design strategies for technologies that support
behavior change in everyday life. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). ACM
example) UbiFit
13. 4. Uses of Behavioral Theories in HCI
Informing the design of technical systems
• Used the construct of ‘breakdown’ from the
theory of sensemaking to support reflection
and problem-solving
Lena Mamykina, Elizabeth Mynatt, Patricia Davidson, and Daniel Greenblatt. 2008. MAHI: investigation of social scaffolding for reflective
thinking in diabetes management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08)
example) MAHI
breakdown: times when everyday routines are
interrupted by an unexpected or undesirable event
that forces the individual to make sense of what
happened and to create a new story that explains
the experience
14. 4. Uses of Behavioral Theories in HCI
Informing the design of technical systems
Moving forward:
While we believe strongly in the value of empirical data for generating design
guidelines, given the relatively limited amount of empirical data behind many
proposed design guidelines, we suggest that the guidelines are more akin to
“design hypotheses,” which require additional testing.
HCI researchers who translate theory into systems should pay close attention to
issues such as the specific behavior in question (e.g., physical activity, diet,
sustainability), user characteristics ( e.g., age, education, values), and the
sociocultural context (e.g., Latino diabetic high schoolers).
By investigating how technologies with similar theoretical grounding fare in different
cultural contexts, the field can begin to develop both more nuanced design guidelines
and to inform the development of better behavioral theories.
15. 4. Uses of Behavioral Theories in HCI
Guiding evaluation strategies
Min Kyung Lee, Sara Kiesler, and Jodi Forlizzi. 2011. Mining behavioral economics to design persuasive technology for healthy choices.
In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11)
example) Mining Behavioral Economics to Design Persuasive
Technology for Healthy Choices
• based on the behavioral economics construct of default bias
(i.e., a person tends to pick the first available option).
16. 4. Uses of Behavioral Theories in HCI
Guiding evaluation strategies
Lena Mamykina, Elizabeth Mynatt, Patricia Davidson, and Daniel Greenblatt. 2008. MAHI: investigation of social scaffolding for reflective
thinking in diabetes management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08)
Moving forward:
Few HCI researchers have the resources to conduct large-scale randomized
trials of their prototypes. Randomized controlled trials (RCTs) remain the
gold standard of efficacy research in behavioral science, but some study
designs and analytic strategies can be utilized in HCI research:
1. meditational/path and moderation analyses
2. alternative experimental designs
3. evaluations of qualitative data
17. 4. Uses of Behavioral Theories in HCI
Selecting target users
Helen Ai He, Saul Greenberg, and Elaine M. Huang. 2010. One size does not fit all: applying the transtheoretical model to energy
feedback technology design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10).
Transtheoretical model: different user groups will have diverse needs and
interventions that effectively support one group might be ineffective for another.
example) One size does not fit all: Applying the transtheoretical model
to energy feedback technology design
18. 4. Uses of Behavioral Theories in HCI
Selecting target users
Moving forward:
Researchers should be specific about the characteristics of users who
are testing the behavior change technologies. If study participants do not
match the target user group sufficiently closely, it becomes very difficult to
make sense of study results, increasing the likelihood of type III error (i.e.,
finding null results when the hypothesis was never tested in the first place).
… theory could be used post hoc to understand different patterns of use
and outcomes among study participants.
19. 5. Shortcomings / HCI Contributions to Behavioral Theory
1. most behavioral theories explain only a small portion of variance in the
outcomes they are trying to account for;
2. many behavioral theories are not falsifiable (in their current form); and
3. there is a fragmentation and an over-abundance of different theories.
Shortcomings of Behavioral Theories
1. improving measurement and, by extension, fostering better theories of behavior
2. enhancing early-stage theory fidelity, and
3. using big data and A/B testing.
How can HCI improve Behavioral Theory?
20. 5. Shortcomings / HCI Contributions to Behavioral Theory
most behavioral theories explain only a small portion of variance in the
outcomes they are trying to account for
Shortcomings of Behavioral Theories: Domino Effect
B.T.
20 ~ 30%
Unmeasured and Unknown
Total Behavioral Variance
Theories and evaluations that preclude falsification
most behavioral theories explain only a small portion of variance in the
outcomes they are trying to account for
21. 5. Shortcomings / HCI Contributions to Behavioral Theory
1. improving measurement and, by extension, fostering better theories of behavior
How can HCI improve Behavioral Theory?
The problem of many behavioral theories:
• Studies are mainly relied on self-report measures, which leads to
• the infrequent assessing of key variables, which leads to
• the small variance explained by such theories and lack of testing
22. 5. Shortcomings / HCI Contributions to Behavioral Theory
How can HCI improve Behavioral Theory?
2. enhancing early-stage theory fidelity
Enable the development of a different kind of theory
• personalized models,
• see dynamic models of factors that influence behavior of a person, and
• the model could be continuously tuned and improved.
3. using big data and A/B testing.
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