Saket Bihari | K R Manglam University (original) (raw)
Papers by Saket Bihari
EZ EDUCATION, 2024
A brief description of the idea of Leveraging Open Educational Resources (OER) for Effective Teac... more A brief description of the idea of Leveraging Open Educational Resources (OER) for Effective Teacher Training is given in this paper. It emphasises the use of OER in boosting teacher preparation programmes and investigates the advantages and disadvantages of its deployment. The document also covers a number of tactics that can be used, such as the value of teamwork and the application of technology, to effectively utilise OER for teacher training. It also gives a succinct review of instances where OER have been successfully incorporated into teacher training programmes. The document emphasises in its conclusion the importance of OER in fostering teachers' ongoing professional development as well as the necessity for more study and funding in this field. This abstract also explores the advantages and difficulties of incorporating open educational resources (OER) into professional development programmes in order to investigate the possibilities of using OER for efficient teacher training. OER, or openly available educational resources, provide affordable, adaptable, and inclusive tools that support teachers and improve their instructional strategies. OER's accessibility makes high-quality resources available to instructors from a variety of backgrounds, promoting inclusivity and equity in education. In order to ensure relevance in the classroom, customization and adaptation enable educators to fit content with particular learning objectives and regional curricula. OER integration still faces issues with assuring quality and removing technological impediments. In order to fully realise the potential of OER for teacher training, this abstract emphasises the necessity of collaborative platforms, training, and policy lobbying. This abstract shows OER as a transformative tool for empowering educators in the 21st century by highlighting successful models of OER integration and drawing on case studies and research. Keywords: Open Educational Resources (OER), Teacher Training, Education, Professional Development, Empowerment
Redshine , Swedon, 2024
The future of educational practices is going to be shaped by the dynamic process of integrating A... more The future of educational practices is going to be shaped by the dynamic process of
integrating Artificial Intelligence (AI) into teacher preparation. But there are still moral
issues to be resolved in this process. By highlighting its function as a compass through
inherently ethical conundrums and its crucial contribution to determining the future of
educator preparation, this abstract investigates the delicate interplay between AI
integration and ethical issues in teacher education. Tools powered by AI are being used
in teacher education and provide individualized learning opportunities and
administrative effectiveness. However, these developments provide significant moral
conundrums. The protection of data privacy, reducing algorithmic biases, and fostering
equity and transparency emerge as the three main issues. In this environment, ethical
decision-making assumes a prominent role, facilitating responsible AI development,
informed implementation, and ongoing ethical considerations. Ethics serve as a compass
in this situation, guiding educators, organizations, and legislators through the
treacherous landscape of AI integration. These abstract highlights the moral obligations
set forth in several educational policies, such as NEP 2020, which support an inclusive,
equitable, and cutting-edge educational system. A responsible, inclusive, and morally
sound approach to education is established by the ethical integration of AI in teacher
education, which also helps to prepare educators for the future.
Keywords: Artificial Intelligence (AI), Teacher Education, Ethical Considerations,
Educational Policy, NEP 2020, Ethics in Education, Responsible AI Integration.
Redshine , Swedan, 2024
Artificial Intelligence (AI) in education has enormous potential to transform learning processes,... more Artificial Intelligence (AI) in education has enormous potential to transform learning
processes, personalize instruction, and enhance educational outcomes. To guarantee that
AI in education serves all students while preserving their rights and well-being, a variety
of ethical problems must be addressed in addition to this transformational potential. This
abstract examines the ethical issues surrounding the use of AI in education, concentrating
on three key areas: privacy, bias, and equity. The collection and use of student data
raises privacy issues in the context of AI integration. Strong data security and protection
measures must be put in place, informed consent must be obtained, and the privacy
implications of AI surveillance must be addressed. These efforts must be guided by ethical
values like data anonymization and openness. Another important component of
integrating ethical AI is bias prevention. Biases existing in training data can be amplified
and sustained by AI systems, producing discriminating results. To make sure that AI
systems in education promote justice and diversity, it is essential to have methods for bias
discovery, varied and representative datasets, and regular audits. In order to prevent
escalating educational inequities, equity issues must be prioritized. It is crucial to provide
fair access and individualized support for all students because the digital gap and
socioeconomic constraints may make it difficult for some students to utilize AI resources.
Ethical principles emphasize how critical it is to remedy these injustices in order to level
the playing field. Overall, the article promotes multidisciplinary collaboration, ongoing
monitoring, and the responsibility of educators while highlighting the significance of
ethical frameworks for AI inclusion in education. It emphasizes how ethical AI
integration may improve educational results and experiences while respecting privacy,
justice, and equity as fundamental values, ultimately paving the path for an ethical and
just future for AI integration in education.
Keywords: AI Integration, Education, Ethical Considerations, Privacy, Equity.
RAJESH PUBLICATIONS, New Delhi, 2024
The way we analyse and use data has been completely transformed by machine learning (ML) and arti... more The way we analyse and use data has been
completely transformed by machine learning (ML)
and artificial intelligence (AI). Because of the
enormous amount of data available, it was previously
hard for businesses and organisations to make datadriven
decisions. Numerous industries, including
finance, healthcare, education and marketing, have
seen an improvement in decision-making as a result
of the ability to swiftly and effectively analyse,
organise, and understand enormous amounts of data.
To get the most out of the technology while
minimising dangers, it is critical to comprehend the
developments and best practises that go along with
the expanding trend of AI and ML-based decisionmaking.
The goal of this article is to examine the many
developments and industry-recognized best practises
related to AI and ML in decision-making, offering
insights into how these technologies have changed
the decision-making environment and how businesses may most effectively use them to achieve
a competitive edge. Decision-making that is AI and
ML empowered has advanced significantly and
shown to be a disruptive force across sectors. It has
made it possible for organisations to use the power
of data to make decisions that are more informed,
precise, and effective. AI and ML have significantly
improved decision-making by automating
complicated procedures, analysing massive volumes
of data, and spotting hidden patterns.
The ability of AI and ML to manage and interpret
enormous volumes of data rapidly and accurately is
one of the fundamental advantages of these
technologies in decision-making. Insights from
enormous amounts of organised and unstructured
data may now be gleaned by organisations, enabling
better decision-making. The ability of AI and ML
algorithms to continuously learn and adapt will also
help them to become more accurate and adaptive.
Keywords: Machine Learning (ML), Artificial
Intelligence (AI), Data-driven decisions, Decision-
Making Environment, Competitive Edge.
Radhika Books, New Delhi, 2024
The sharing of knowledge and ideas between teachers and students is the core of education, which ... more The sharing of knowledge and ideas between teachers
and students is the core of education, which is a key tenet
of human progress. The lifeblood of education is effective
communication, which makes it possible to impart
knowledge, encourage critical thinking, and support
students’ overall development. However, a complicated
web of language and communication problems frequently
lurks beneath the surface of this apparently simple process,
acting as strong obstacles that might impede the teaching
and learning process.
It is crucial to address and overcome these difficulties
in the constantly changing pedagogical context, where classrooms are becoming more diverse and technology is
continuing to change the educational landscape. No matter
their linguistic, cultural, or technical backgrounds,
language and communication hurdles have the ability to
obstruct students from all walks of life in their pursuit of
an education. To promote inclusive and equitable
educational outcomes, it is our duty as educators to
recognize these problems and address them with tact and
inventiveness.
EZ EDUCATION, 2024
The National Education Policy (NEP) 2020 acts as a revolutionary road map for changing the Indian... more The National Education Policy (NEP) 2020 acts as a revolutionary road map for changing the Indian
educational system. For it to be successfully implemented and its goals to be met, research and innovation
are essential. This essay examines the value of research in supporting the development of evidence-based
policies, approving innovations, and encouraging a culture of ongoing improvement. It also emphasizes how
crucial innovation is for personalizing instruction, using technology, and preparing students for difficulties in
the future. Educators and policymakers may address learning gaps, advance inclusive practices, and improve
student engagement by coordinating research and innovation with NEP 2020 goals. Collaborations between
academic institutions, governments, the commercial sector, and foreign partners improve research initiatives
and promote educational innovation. For India to develop a progressive, student-centered, and
internationally competitive education ecosystem, it is crucial to embrace evidence-based practices and foster
an innovative culture.
Keywords: Research, Innovation, Education, National Education Policy (NEP) 2020 Policy Formulation,
Evidence-based, Transformative, Student-centric, Technology Integration. Inclusive Education.
I I P Iterative International Publishers, 2024
For a very long time, researchers, policymakers, and law enforcement organisations have been inte... more For a very long time, researchers, policymakers, and law enforcement organisations have been interested in the relationship between social determinants and crime. It is generally accepted that the social environment in which people live has an impact on crime rates as well as individual traits. In-depth study of the specific social factors that influence crime in a community is the goal of this research.
In this study, the impact of social determinants on crime rates within a community context is investigated. It looks into the connections between socioeconomic factors, residential stability, social cohesiveness, and crime rates in a community. This study intends to shed light on the impact of social determinants on criminal behaviour by analysing data from a variety of sources, including crime statistics, census data, and community surveys. The results underline the significance of addressing social variables in efforts to prevent crime by deepening our understanding of the intricate interactions between community environment and crime. The report emphasises the requirement for focused initiatives that support socioeconomic equality, neighbourhood solidarity, and the development of unofficial social control systems. This study tries to identify the precise socioeconomic elements that affect crime rates. Additionally, this study is going to investigate into how neighbourhood attributes affect crime rates. To ascertain their effect on crime, factors including
domestic stability, physical disorder, and the presence of social institutions will be evaluated. Policymakers can create targeted interventions to address the root causes in high-crime areas by comprehending how these neighbourhood-specific elements contribute to crime. The research on Community Context and Crime is summarised in this abstract, with an emphasis on the influence of social factors. This research attempts to shed light on the underlying causes of crime and offer potential solutions for prevention and intervention by examining the relationship between community environment and crime rates. In order to make a community safer and more cohesive, it is essential to recognise and address social concerns inside that community. Keywords: social determinants, crime rates, community context, socioeconomic factors, residential stability, social cohesiveness, social control systems, neighbourhood attributes
International Journal of Physical and Social Sciences, 2015
In the ladder of education from nursery to university education, the secondary level of education... more In the ladder of education from nursery to university education, the secondary level of education is important because this level provides the base for future education. The continuous pressure from outside the world over the abilities creates the causes like stress, restless and anxiety in the mind of individual. Anxiety is not a bad thing but it is true that the high level of anxiety interferes with memory and concentration which creates academic stress. A small level of anxiety is normal, but severe anxiety can be a serious problem. Academic anxiety can become more harmful over time. As a student's academic act suffers, the anxiety level related to certain academic tasks increases (Huberty, 2012). Therefore anxiety interferes with the learning. In fact, anxiety might prevent learning or might also fuel it. Time management allows students to be free from all type stress and actually increases output and performance of the work. It also handled the academic anxiety and reduces ...
Asian Journal of Multidisciplinary Studies, Dec 28, 2014
In the present study an attempt is made by the investigators to study the value patterns of secon... more In the present study an attempt is made by the investigators to study the value patterns of secondary school teachers of East Delhi. 80 secondary school teachers from 6 government schools were drawn by employing simple random techniques. The value of the sample was assessed using Teacher Value Inventory (TVI) constructed and standardized by Dr. Harbhajan.L.Singh and Dr. S.P.Ahluwalia (2008). It was hypothesized that there is no significant difference on the value pattern of teachers on the selected values. The obtained data were quantitatively analyzed by using descriptive and inferential statistics. The study revealed that no significant difference were found in the mean scores on teachers value dimensions-Theoretical ,Economic , Aesthetic and Social Values, while significant difference were found in Political and Religious Values.
The purpose of the study was to ascertain the gender differences in computer attitude among secon... more The purpose of the study was to ascertain the gender differences in computer attitude among secondary school students in North West Delhi. Descriptive research design was employed in this study where Computer Attitude Scale (CAS) developed and validated by Dr. Tahira Khaatoon and Manika Sharma (2011) was used to collect data from 150 students. The respondents were randomly selected from two private schools of North West Delhi. The scale contained 20 items in positive and negative statements form. It covering five affective dimensionsComputer Anxiety, Computer Confidence, and Computer as a useful Tool, Computer Interest and Computer Career. The reliability of the scale was found 0.93 by split half method. The data was analyzed using mean, SD and‘t’ test. The study revealed that no significant difference were found in mean scores on overall CAS and its four sub scalesComputer Interest ,Computer Career, Computer Confidence and Computer as a useful Tool while significant difference was ...
Teacher Effectiveness is the impact that classroom factors, such as teaching methods, teaching ex... more Teacher Effectiveness is the impact that classroom factors, such as teaching methods, teaching expectations, classroom organization and the use of classroom resources have on student’s performance. Emotional Intelligence is the ability to sense, understand and effectively apply the power and emotions as a source of human energy. The present study lights on teacher effectiveness and emotional intelligence of senior secondary school teachers. The study has been carried out on sample of 50 senior secondary school teachers of East Delhi by using the simple random sampling technique. Teacher Effectiveness Scale (TES) developed and standardized by Dr. Umme Kulsum (2010) and Teachers’ Emotional Intelligence Inventory (tEQi) by Dr. Shubhra Mangal (2010) have been administered for collecting data. For analyzing of the data Mean, SD, ‘t’test and Product moment correlation were used as the statistical techniques. The findings of the research were summarized as follows (1) There is no significa...
Conference Presentations by Saket Bihari
Eudoxia Research University, USA, 2024
Enterprise Resource Planning (ERP) systems are essential tools for the seamless management and in... more Enterprise Resource Planning (ERP) systems are essential
tools for the seamless management and integration of numerous
organizational tasks in the contemporary corporate operations
landscape. Processes like education, finance, human resources, supply
chain, and others are streamlined by these platforms. ERP systems are
now essential to enterprises due to their capacity to improve
operational effectiveness, data visibility, and decision-making. Artificial
intelligence (AI) is on the rise as industries adopt digital
transformation. The increasing use of AI in so many different
industries demonstrate how disruptive it can be. The incorporation of
AI into ERP systems stands out in this context as a crucial accelerator
for further progress. A new paradigm is presented by AI infusion.
Predictive analytics for precise demand forecasting, natural language
processing (NLP) to improve human-computer interactions, and machine learning for data-driven insights are some of the existing AI
uses within ERP systems. Benefits from these linkages include
improved productivity, accuracy, and cost effectiveness. The trajectory
of AI-driven ERP development shows promising futures. Advanced
process automation and help is promised by cognitive automation, and
recommendation engines driven by AI support better decision-making.
Advanced real-time data analytics and adaptive learning algorithms for
personalized user experiences are additional improvements. The
transition from traditional to AI-driven ERP solutions ushers in
efficiency, intelligence, and adaptability that are unmatched.
Keywords: ERP systems, AI integration, Digital transformation,
Predictive analytics, Adaptive learning
EZ EDUCATION, 2024
A brief description of the idea of Leveraging Open Educational Resources (OER) for Effective Teac... more A brief description of the idea of Leveraging Open Educational Resources (OER) for Effective Teacher Training is given in this paper. It emphasises the use of OER in boosting teacher preparation programmes and investigates the advantages and disadvantages of its deployment. The document also covers a number of tactics that can be used, such as the value of teamwork and the application of technology, to effectively utilise OER for teacher training. It also gives a succinct review of instances where OER have been successfully incorporated into teacher training programmes. The document emphasises in its conclusion the importance of OER in fostering teachers' ongoing professional development as well as the necessity for more study and funding in this field. This abstract also explores the advantages and difficulties of incorporating open educational resources (OER) into professional development programmes in order to investigate the possibilities of using OER for efficient teacher training. OER, or openly available educational resources, provide affordable, adaptable, and inclusive tools that support teachers and improve their instructional strategies. OER's accessibility makes high-quality resources available to instructors from a variety of backgrounds, promoting inclusivity and equity in education. In order to ensure relevance in the classroom, customization and adaptation enable educators to fit content with particular learning objectives and regional curricula. OER integration still faces issues with assuring quality and removing technological impediments. In order to fully realise the potential of OER for teacher training, this abstract emphasises the necessity of collaborative platforms, training, and policy lobbying. This abstract shows OER as a transformative tool for empowering educators in the 21st century by highlighting successful models of OER integration and drawing on case studies and research. Keywords: Open Educational Resources (OER), Teacher Training, Education, Professional Development, Empowerment
Redshine , Swedon, 2024
The future of educational practices is going to be shaped by the dynamic process of integrating A... more The future of educational practices is going to be shaped by the dynamic process of
integrating Artificial Intelligence (AI) into teacher preparation. But there are still moral
issues to be resolved in this process. By highlighting its function as a compass through
inherently ethical conundrums and its crucial contribution to determining the future of
educator preparation, this abstract investigates the delicate interplay between AI
integration and ethical issues in teacher education. Tools powered by AI are being used
in teacher education and provide individualized learning opportunities and
administrative effectiveness. However, these developments provide significant moral
conundrums. The protection of data privacy, reducing algorithmic biases, and fostering
equity and transparency emerge as the three main issues. In this environment, ethical
decision-making assumes a prominent role, facilitating responsible AI development,
informed implementation, and ongoing ethical considerations. Ethics serve as a compass
in this situation, guiding educators, organizations, and legislators through the
treacherous landscape of AI integration. These abstract highlights the moral obligations
set forth in several educational policies, such as NEP 2020, which support an inclusive,
equitable, and cutting-edge educational system. A responsible, inclusive, and morally
sound approach to education is established by the ethical integration of AI in teacher
education, which also helps to prepare educators for the future.
Keywords: Artificial Intelligence (AI), Teacher Education, Ethical Considerations,
Educational Policy, NEP 2020, Ethics in Education, Responsible AI Integration.
Redshine , Swedan, 2024
Artificial Intelligence (AI) in education has enormous potential to transform learning processes,... more Artificial Intelligence (AI) in education has enormous potential to transform learning
processes, personalize instruction, and enhance educational outcomes. To guarantee that
AI in education serves all students while preserving their rights and well-being, a variety
of ethical problems must be addressed in addition to this transformational potential. This
abstract examines the ethical issues surrounding the use of AI in education, concentrating
on three key areas: privacy, bias, and equity. The collection and use of student data
raises privacy issues in the context of AI integration. Strong data security and protection
measures must be put in place, informed consent must be obtained, and the privacy
implications of AI surveillance must be addressed. These efforts must be guided by ethical
values like data anonymization and openness. Another important component of
integrating ethical AI is bias prevention. Biases existing in training data can be amplified
and sustained by AI systems, producing discriminating results. To make sure that AI
systems in education promote justice and diversity, it is essential to have methods for bias
discovery, varied and representative datasets, and regular audits. In order to prevent
escalating educational inequities, equity issues must be prioritized. It is crucial to provide
fair access and individualized support for all students because the digital gap and
socioeconomic constraints may make it difficult for some students to utilize AI resources.
Ethical principles emphasize how critical it is to remedy these injustices in order to level
the playing field. Overall, the article promotes multidisciplinary collaboration, ongoing
monitoring, and the responsibility of educators while highlighting the significance of
ethical frameworks for AI inclusion in education. It emphasizes how ethical AI
integration may improve educational results and experiences while respecting privacy,
justice, and equity as fundamental values, ultimately paving the path for an ethical and
just future for AI integration in education.
Keywords: AI Integration, Education, Ethical Considerations, Privacy, Equity.
RAJESH PUBLICATIONS, New Delhi, 2024
The way we analyse and use data has been completely transformed by machine learning (ML) and arti... more The way we analyse and use data has been
completely transformed by machine learning (ML)
and artificial intelligence (AI). Because of the
enormous amount of data available, it was previously
hard for businesses and organisations to make datadriven
decisions. Numerous industries, including
finance, healthcare, education and marketing, have
seen an improvement in decision-making as a result
of the ability to swiftly and effectively analyse,
organise, and understand enormous amounts of data.
To get the most out of the technology while
minimising dangers, it is critical to comprehend the
developments and best practises that go along with
the expanding trend of AI and ML-based decisionmaking.
The goal of this article is to examine the many
developments and industry-recognized best practises
related to AI and ML in decision-making, offering
insights into how these technologies have changed
the decision-making environment and how businesses may most effectively use them to achieve
a competitive edge. Decision-making that is AI and
ML empowered has advanced significantly and
shown to be a disruptive force across sectors. It has
made it possible for organisations to use the power
of data to make decisions that are more informed,
precise, and effective. AI and ML have significantly
improved decision-making by automating
complicated procedures, analysing massive volumes
of data, and spotting hidden patterns.
The ability of AI and ML to manage and interpret
enormous volumes of data rapidly and accurately is
one of the fundamental advantages of these
technologies in decision-making. Insights from
enormous amounts of organised and unstructured
data may now be gleaned by organisations, enabling
better decision-making. The ability of AI and ML
algorithms to continuously learn and adapt will also
help them to become more accurate and adaptive.
Keywords: Machine Learning (ML), Artificial
Intelligence (AI), Data-driven decisions, Decision-
Making Environment, Competitive Edge.
Radhika Books, New Delhi, 2024
The sharing of knowledge and ideas between teachers and students is the core of education, which ... more The sharing of knowledge and ideas between teachers
and students is the core of education, which is a key tenet
of human progress. The lifeblood of education is effective
communication, which makes it possible to impart
knowledge, encourage critical thinking, and support
students’ overall development. However, a complicated
web of language and communication problems frequently
lurks beneath the surface of this apparently simple process,
acting as strong obstacles that might impede the teaching
and learning process.
It is crucial to address and overcome these difficulties
in the constantly changing pedagogical context, where classrooms are becoming more diverse and technology is
continuing to change the educational landscape. No matter
their linguistic, cultural, or technical backgrounds,
language and communication hurdles have the ability to
obstruct students from all walks of life in their pursuit of
an education. To promote inclusive and equitable
educational outcomes, it is our duty as educators to
recognize these problems and address them with tact and
inventiveness.
EZ EDUCATION, 2024
The National Education Policy (NEP) 2020 acts as a revolutionary road map for changing the Indian... more The National Education Policy (NEP) 2020 acts as a revolutionary road map for changing the Indian
educational system. For it to be successfully implemented and its goals to be met, research and innovation
are essential. This essay examines the value of research in supporting the development of evidence-based
policies, approving innovations, and encouraging a culture of ongoing improvement. It also emphasizes how
crucial innovation is for personalizing instruction, using technology, and preparing students for difficulties in
the future. Educators and policymakers may address learning gaps, advance inclusive practices, and improve
student engagement by coordinating research and innovation with NEP 2020 goals. Collaborations between
academic institutions, governments, the commercial sector, and foreign partners improve research initiatives
and promote educational innovation. For India to develop a progressive, student-centered, and
internationally competitive education ecosystem, it is crucial to embrace evidence-based practices and foster
an innovative culture.
Keywords: Research, Innovation, Education, National Education Policy (NEP) 2020 Policy Formulation,
Evidence-based, Transformative, Student-centric, Technology Integration. Inclusive Education.
I I P Iterative International Publishers, 2024
For a very long time, researchers, policymakers, and law enforcement organisations have been inte... more For a very long time, researchers, policymakers, and law enforcement organisations have been interested in the relationship between social determinants and crime. It is generally accepted that the social environment in which people live has an impact on crime rates as well as individual traits. In-depth study of the specific social factors that influence crime in a community is the goal of this research.
In this study, the impact of social determinants on crime rates within a community context is investigated. It looks into the connections between socioeconomic factors, residential stability, social cohesiveness, and crime rates in a community. This study intends to shed light on the impact of social determinants on criminal behaviour by analysing data from a variety of sources, including crime statistics, census data, and community surveys. The results underline the significance of addressing social variables in efforts to prevent crime by deepening our understanding of the intricate interactions between community environment and crime. The report emphasises the requirement for focused initiatives that support socioeconomic equality, neighbourhood solidarity, and the development of unofficial social control systems. This study tries to identify the precise socioeconomic elements that affect crime rates. Additionally, this study is going to investigate into how neighbourhood attributes affect crime rates. To ascertain their effect on crime, factors including
domestic stability, physical disorder, and the presence of social institutions will be evaluated. Policymakers can create targeted interventions to address the root causes in high-crime areas by comprehending how these neighbourhood-specific elements contribute to crime. The research on Community Context and Crime is summarised in this abstract, with an emphasis on the influence of social factors. This research attempts to shed light on the underlying causes of crime and offer potential solutions for prevention and intervention by examining the relationship between community environment and crime rates. In order to make a community safer and more cohesive, it is essential to recognise and address social concerns inside that community. Keywords: social determinants, crime rates, community context, socioeconomic factors, residential stability, social cohesiveness, social control systems, neighbourhood attributes
International Journal of Physical and Social Sciences, 2015
In the ladder of education from nursery to university education, the secondary level of education... more In the ladder of education from nursery to university education, the secondary level of education is important because this level provides the base for future education. The continuous pressure from outside the world over the abilities creates the causes like stress, restless and anxiety in the mind of individual. Anxiety is not a bad thing but it is true that the high level of anxiety interferes with memory and concentration which creates academic stress. A small level of anxiety is normal, but severe anxiety can be a serious problem. Academic anxiety can become more harmful over time. As a student's academic act suffers, the anxiety level related to certain academic tasks increases (Huberty, 2012). Therefore anxiety interferes with the learning. In fact, anxiety might prevent learning or might also fuel it. Time management allows students to be free from all type stress and actually increases output and performance of the work. It also handled the academic anxiety and reduces ...
Asian Journal of Multidisciplinary Studies, Dec 28, 2014
In the present study an attempt is made by the investigators to study the value patterns of secon... more In the present study an attempt is made by the investigators to study the value patterns of secondary school teachers of East Delhi. 80 secondary school teachers from 6 government schools were drawn by employing simple random techniques. The value of the sample was assessed using Teacher Value Inventory (TVI) constructed and standardized by Dr. Harbhajan.L.Singh and Dr. S.P.Ahluwalia (2008). It was hypothesized that there is no significant difference on the value pattern of teachers on the selected values. The obtained data were quantitatively analyzed by using descriptive and inferential statistics. The study revealed that no significant difference were found in the mean scores on teachers value dimensions-Theoretical ,Economic , Aesthetic and Social Values, while significant difference were found in Political and Religious Values.
The purpose of the study was to ascertain the gender differences in computer attitude among secon... more The purpose of the study was to ascertain the gender differences in computer attitude among secondary school students in North West Delhi. Descriptive research design was employed in this study where Computer Attitude Scale (CAS) developed and validated by Dr. Tahira Khaatoon and Manika Sharma (2011) was used to collect data from 150 students. The respondents were randomly selected from two private schools of North West Delhi. The scale contained 20 items in positive and negative statements form. It covering five affective dimensionsComputer Anxiety, Computer Confidence, and Computer as a useful Tool, Computer Interest and Computer Career. The reliability of the scale was found 0.93 by split half method. The data was analyzed using mean, SD and‘t’ test. The study revealed that no significant difference were found in mean scores on overall CAS and its four sub scalesComputer Interest ,Computer Career, Computer Confidence and Computer as a useful Tool while significant difference was ...
Teacher Effectiveness is the impact that classroom factors, such as teaching methods, teaching ex... more Teacher Effectiveness is the impact that classroom factors, such as teaching methods, teaching expectations, classroom organization and the use of classroom resources have on student’s performance. Emotional Intelligence is the ability to sense, understand and effectively apply the power and emotions as a source of human energy. The present study lights on teacher effectiveness and emotional intelligence of senior secondary school teachers. The study has been carried out on sample of 50 senior secondary school teachers of East Delhi by using the simple random sampling technique. Teacher Effectiveness Scale (TES) developed and standardized by Dr. Umme Kulsum (2010) and Teachers’ Emotional Intelligence Inventory (tEQi) by Dr. Shubhra Mangal (2010) have been administered for collecting data. For analyzing of the data Mean, SD, ‘t’test and Product moment correlation were used as the statistical techniques. The findings of the research were summarized as follows (1) There is no significa...
Eudoxia Research University, USA, 2024
Enterprise Resource Planning (ERP) systems are essential tools for the seamless management and in... more Enterprise Resource Planning (ERP) systems are essential
tools for the seamless management and integration of numerous
organizational tasks in the contemporary corporate operations
landscape. Processes like education, finance, human resources, supply
chain, and others are streamlined by these platforms. ERP systems are
now essential to enterprises due to their capacity to improve
operational effectiveness, data visibility, and decision-making. Artificial
intelligence (AI) is on the rise as industries adopt digital
transformation. The increasing use of AI in so many different
industries demonstrate how disruptive it can be. The incorporation of
AI into ERP systems stands out in this context as a crucial accelerator
for further progress. A new paradigm is presented by AI infusion.
Predictive analytics for precise demand forecasting, natural language
processing (NLP) to improve human-computer interactions, and machine learning for data-driven insights are some of the existing AI
uses within ERP systems. Benefits from these linkages include
improved productivity, accuracy, and cost effectiveness. The trajectory
of AI-driven ERP development shows promising futures. Advanced
process automation and help is promised by cognitive automation, and
recommendation engines driven by AI support better decision-making.
Advanced real-time data analytics and adaptive learning algorithms for
personalized user experiences are additional improvements. The
transition from traditional to AI-driven ERP solutions ushers in
efficiency, intelligence, and adaptability that are unmatched.
Keywords: ERP systems, AI integration, Digital transformation,
Predictive analytics, Adaptive learning