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3/23/2021 Originality Report 1/6 %77 %12 %5 SafeAssign Originality Report Spring 2021 - Organ Leader & Decision Making (ITS-630-B03) - Secon… • Week 2 Written Assignment %93Total Score: High riskKaran Radadiya Submission UUID: 24f768aa-a73-248fed847b06 Total Number of Reports 1 Highest Match 93 % week 2 assignmnet.docx Average Match 93 % Submitted on 03/14/21 10:10 PM CDT Average Word Count 961 Highest: week 2 assignmnet.docx %93Attachment 1 Institutional database (9) Student paper Student paper Student paper Student paper Student paper Student paper Student paper Student paper Student paper Internet (5) webvpn ocerintjournals drmarkcamilleri science equinoxpub Scholarly journals & publications (1) ProQuest document Top sources (3) Excluded sources (0) View Originality Report - Old Design Word Count: 961 week 2 assignmnet.docx Student paper 11 ProQuest document 8 webvpn 2 Technology Acceptance Model Karan Radadiya University of the Cumberlands ITS-630-B03- Organ Leader & Decision Making Dr.

Karen Lederer March 12,2021 Technology Acceptance Model (TAM) and impacts on Education settings INTRODUCTION Education Systems use various apparatuses to communicate, create, disseminate, store, and then bring about info. The tools then technologies have become es- sential to the learning interaction, through such methods as replacement of the old-style ways with communicating digital whiteboards, using smartphones of stu- dents or other diplomacies which can be applied in learning during class time, then the flipped classroom model where learners look at lectures at home on the su- percomputer then by use of classroom time for extra communicating aerobics (Ali, et al, 2018). Technologies then other cardinal culture features have altered the be- haviors individuals are living, working, playing, and learning, affecting the building then the distribution of acquaintance and power around flora and fauna.

3/23/2021 Originality Report 2/6 Source Matches (34) Student paper 100% Student paper 62% Graduates who are less used to digital culture are progressively at a countrywide difficulty than the global economy. Unquestionably, Information and Communica- tion Technology is the most known then extensive trend of numerous fields worldwide. It is an intelligent instrument for the emergence of multiple technological ser- vices comprising web services and computer-generated knowledge. Define TAM and the components. The technology acceptance model (TAM) is an info sys- tems theory that models how operators agree to take and use Technology.

Although there are developing frameworks of operative online business education, multi- discipline studies have been drawn from recognized frameworks in business research (Nagy, 2018). One such commonly preferred framework is technology accept- ance. Technology Acceptance Model (TAM) then influences education settings. Note how the Technology Acceptance Model affects educational settings. With the impressive growth of Information and Communication Technology development then internet admiration, the widespread use of electronic service is becom- ing unavoidable.

Additionally, as handler implementation plays a significant role in the fruitful and operative implementation of any project, there is a requirement to assess user reception of e-service technology. Using TAM, education has reached a new level. Various digital methods are being adopted now. Usage has grown to tablets, laptops, smartphones (Alshurideh et al, 2019). Students and teachers can study and train at their place once the best use case is what we saw recently.

When the world is being hit by the pandemic and struggling to recover, the education industry has changed its track and moved to a new level. Almost all the work is done online. Students are getting lectures online; assignments are being submitted and analyzed online. Doubts and discussions also happen online. This recent move has changed the face of the era.

Give an overview of the case study presented and the findings. The study picked for an overview is Factors Manipulating Pre- service Intention of Teachers in Using Technology such as TPACK, Teacher Self-efficacy, then Technology Acceptance Model. The study is intended to investigate structural relationships between TPACK, teacher self-efficacy, the apparent ease of use, then perceived practicality for preservice educators who anticipate using Technology, basing on the Technology Acceptance Model (Tarhini, et al, 2017). The results being drawn out of the study signifies a good number of teachers using Technology for self-upliftment and learning. It also related how well they are inclined to learn new models and support the change.

The study also depicts their inten- tions of using Technology at best and gaining good results of the same. The responses received were significant and are positive in driving the changes. Conclusion Technology Acceptance Model (TAM) and impacts on Education settings, the analysis reveals that quality, security, and satisfaction meaningfully prejudiced the inten- tion in using an e-service, then subsequently the acceptance of e-service technology. With advancements in the digital world, it has become essential that the educational system grow and adopt the new leading technologies. This helps the organizations grow and learn at a faster pace, but it also helps them achieve the best results.

We are at a stage where daily new technologies arrive and therefore, we should try and grasp the best ones for our use Chang et al, 2017). Also, to overcome likely restrictions of using the Technology Acceptance Model in emerging countries, we spread Technology Acceptance Model in including subjective norms, then the quality of work-life constructs as supplementary constructs, and numerous cultural variables as mediators. References Ali, Z., Gongbing, B., & Mehreen, A. (2018). Understanding and predicting academic performance through cloud computing adoption: A perspective of technology acceptance model. Journal of Computers in Education, 5(3), .

Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2019, October). Examining the main mobile learning system drivers’ effects: A mix empirical examination of both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. ). Springer, Cham.

Chang, C. T., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The general extended techno- logy acceptance model for e-learning approach.

Computers & Education, 111, . journals.onlinelibrary.wiley.com/doi/abs/10.1111/bjet.12864 Nagy, J. T. (2018). Evaluation of online video usage and learning satisfaction: An extension of the technology acceptance model. International Review of Research in Open and Distributed Learning, 19(1). Tarhini, A., Hone, K., Liu, X., & Tarhini, T. (2017).

Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model. Interactive Learning Environments, 25(3), . Student paper Technology Acceptance Model Original source Technology Acceptance Model 2 Student paper Karan Radadiya University of the Cumberlands Original source University of the Cumberlands 3/23/2021 Originality Report 3/6 Student paper 77% Student paper 100% Student paper 67% Student paper 64% Student paper 79% Student paper 76% Student paper 76% Student paper 63% 3 Student paper ITS-630-B03- Organ Leader & Decision Making Original source Organ Leader & Decision Making (ITS- 630-A06) Dr 4 Student paper Technology Acceptance Model (TAM) and impacts on Education settings Original source Technology Acceptance Model (TAM) and impacts on Education settings 4 Student paper The tools then technologies have be- come essential to the learning interac- tion, through such methods as replace- ment of the old-style ways with commu- nicating digital whiteboards, using smart- phones of students or other diplomacies which can be applied in learning during class time, then the flipped classroom model where learners look at lectures at home on the supercomputer then by use of classroom time for extra communicat- ing aerobics (Ali, et al, 2018).

Original source These tools and technologies have be- come integral to the learning interaction, through such approaches as replacing traditional ways with interactive digital whiteboards, using students’ smart- phones or other devices for learning dur- ing class time, and the “flipped classroom†model where students watch lectures at home on the computer and use classroom time for more interactive exercises 4 Student paper Graduates who are less used to digital culture are progressively at a country- wide difficulty than the global economy. Original source Graduates who are less familiar with di- gital culture are increasingly at a disad- vantage in the national and global economy 4 Student paper Define TAM and the components.

The technology acceptance model (TAM) is an info systems theory that models how op- erators agree to take and use Techno- logy. Although there are developing frameworks of operative online business education, multi-discipline studies have been drawn from recognized frame- works in business research (Nagy, 2018). One such commonly preferred frame- work is technology acceptance. Original source Define TAM and the components The technology acceptance model (TAM) is an information systems theory that models how users come to accept and use tech- nology Although there are emerging frameworks of effective online business education, multi-discipline studies have also drawn from established frameworks in business research One such com- monly used framework is the technology acceptance model (TAM) (Arbaugh Student paper Technology Acceptance Model (TAM) then influences education settings.

Original source Technology Acceptance Model (TAM) and impacts on Education settings 5 Student paper Note how the Technology Acceptance Model affects educational settings. Original source How Technology Acceptance Model is im- pacting educational settings 4 Student paper With the impressive growth of Informa- tion and Communication Technology de- velopment then internet admiration, the widespread use of electronic service is becoming unavoidable. Original source With the remarkable growth of ICT devel- opment and internet popularity, the widespread use of electronic service is becoming inevitable 3/23/2021 Originality Report 4/6 Student paper 86% Student paper 100% Student paper 93% Student paper 93% Student paper 100% 4 Student paper Using TAM, education has reached a new level.

Various digital methods are being adopted now. Usage has grown to tab- lets, laptops, smartphones (Alshurideh et al, 2019). Students and teachers can study and train at their place once the best use case is what we saw recently. Original source Using TAM the education has reached a new level Various digital methods are be- ing adopted now Usage has grown to tablets, laptops, smartphones Students and teachers can study and train at their place 4 Student paper When the world is being hit by the pan- demic and struggling to recover, the edu- cation industry has changed its track and moved to a new level. Almost all the work is done online.

Original source When the world is being hit by the pan- demic and struggling to recover the edu- cation industry has changed its track and moved to a new level Almost all the work is done online 4 Student paper assignments are being submitted and analyzed online. Doubts and discussions also happen online. This recent move has changed the face of the era. Give an overview of the case study presented and the findings. Original source Students are getting lectures online, as- signments are being submitted and ana- lyzed online Doubts and discussions also happen online This recent move has changed the face of the era Give an over- view of the case study presented and the findings 4 Student paper The study is intended to investigate structural relationships between TPACK, teacher self-efficacy, the apparent ease of use, then perceived practicality for preservice educators who anticipate us- ing Technology, basing on the Techno- logy Acceptance Model (Tarhini, et al, 2017).

The results being drawn out of the study signifies a good number of teach- ers using Technology for self-upliftment and learning. It also related how well they are inclined to learn new models and support the change. The study also depicts their intentions of using Techno- logy at best and gaining good results of the same. Original source This study is aimed to investigate struc- tural relationships between TPACK, teacher self-efficacy, perceived ease of use, and perceived usefulness for preser- vice teachers who intend to use techno- logy, based on the Technology Accept- ance Model (TAM) (Joo et al, 2018) The results being drawn out of the study sig- nifies a good number of teachers using technology for self-upliftment and learn- ing It also related how well they are in- clined to learn new models and support the change The study also depicts their intentions of using technology at the best and gaining good results of the same 4 Student paper The responses received were significant and are positive in driving the changes.

Original source The responses received were significant and are positive in driving the changes 3/23/2021 Originality Report 5/6 Student paper 88% ocerintjournals 96% Student paper 100% webvpn 100% Student paper 100% Student paper 77% Student paper 100% drmarkcamilleri 100% ProQuest document 100% equinoxpub 100% 4 Student paper With advancements in the digital world, it has become essential that the educa- tional system grow and adopt the new leading technologies. This helps the or- ganizations grow and learn at a faster pace, but it also helps them achieve the best results. We are at a stage where daily new technologies arrive and there- fore, we should try and grasp the best ones for our use Chang et al, 2017).

Original source With the advancement in the digital world, it has become extremely import- ant that the educational system should grow and adopt the new leading techno- logies This not only helps the organiza- tions to grow and learn at a faster pace, but it also helps them to achieve the best results We are at a stage where daily new technologies arrive and therefore, we should try and grasp the best ones for our use 6 Student paper A perspective of technology acceptance model. Original source Perspective of technology acceptance model 7 Student paper Alshurideh, M., Al Kurdi, B., & Salloum, S. Original source Alshurideh, M., Al Kurdi, B., & Salloum, S 8 Student paper Examining the main mobile learning sys- tem drivers’ effects: A mix empirical ex- amination of both the Expectation-Con- firmation Model (ECM) and the Techno- logy Acceptance Model (TAM).

Original source Examining the main mobile learning sys- tem drivers’ effects a mix empirical ex- amination of both the expectation-con- firmation model (ECM) and the techno- logy acceptance model (TAM) 7 Student paper In International Conference on Advanced Intelligent Systems and Informatics (pp. Original source In International Conference on Advanced Intelligent Systems and Informatics (pp 9 Student paper 7/_37 Original source Student paper T., Hajiyev, J., & Su, C. Original source T., Hajiyev, J., & Su, C 10 Student paper Examining the students’ behavioral inten- tion to use e-learning in Azerbaijan? Original source Examining the students’ behavioral inten- tion to use e-learning in Azerbaijan 11 Student paper The general extended technology accept- ance model for e-learning approach.

Original source The general extended technology accept- ance model for e-learning approach 12 Student paper Computers & Education, 111, . Original source Computers & Education, 111, 128–/23/2021 Originality Report 6/6 Student paper 65% science 100% ProQuest document 100% Student paper 100% ocerintjournals 70% Student paper 100% ProQuest document 100% ocerintjournals 100% Student paper 80% 13 Student paper journals.onlinelibrary.wiley.com/doi/abs/ 10.1111/bjet.12864 Original source Student paper Evaluation of online video usage and learning satisfaction: Original source Evaluation of Online Video Usage and Learning Satisfaction 11 Student paper An extension of the technology accept- ance model.

Original source An extension of the technology accept- ance model 5 Student paper International Review of Research in Open and Distributed Learning, 19(1). Original source International Review of Research in Open and Distributed Learning, Student paper Tarhini, A., Hone, K., Liu, X., & Tarhini, T. Original source Tarhini, A., Hone, K., Liu, X., & Tarhini, T 4 Student paper Examining the moderating effect of indi- vidual-level cultural values on users’ ac- ceptance of E-learning in developing countries: Original source “Examining the Moderating Effect of Indi- vidual-Level Cultural Values on Users’ Ac- ceptance of E-Learning in Developing Countries 11 Student paper a structural equation modeling of an ex- tended technology acceptance model.

Original source A structural equation modeling of an ex- tended technology acceptance model 6 Student paper Interactive Learning Environments, 25(3), . Original source Interactive Learning Environments, 25(3), Student paper 1080/.2015.\ Original source 1080/.2015. · Fred D

Paper for above instructions

Introduction

The advent of technology has dramatically reshaped various sectors, particularly education. Educational systems now utilize a multitude of tools and platforms to enhance the learning experience. This evolution has also seen an increasing reliance on digital methods and devices, such as smartphones, tablets, and online learning platforms. In this context, the Technology Acceptance Model (TAM) emerges as a critical framework for understanding and predicting user acceptance of technology in educational settings. This paper will delve into the components of TAM, its application in education, a relevant case study, and the overall implications of TAM on teaching and learning practices.

Technology Acceptance Model (TAM) Defined

The Technology Acceptance Model (TAM) is an information systems theory developed by Davis in 1989 to explain how users come to accept and use technology (Davis, 1989). TAM posits that two primary factors influence users' decision-making regarding technology adoption: perceived ease of use and perceived usefulness (Davis, 1989).
1. Perceived Ease of Use (PEOU): This refers to the degree to which users believe that using a particular technology would be free from effort. If a technology is easy to navigate and understand, users are more likely to accept and adopt it.
2. Perceived Usefulness (PU): This pertains to the degree to which a user believes that using the technology will enhance their performance or productivity. Users are inclined to adopt a technology if they see it as beneficial to their tasks or learning outcomes (Davis, 1989).
Together, these elements create an attitude toward using technology, which in turn affects actual usage behavior. This model can be extended to include additional variables such as social influence, facilitating conditions, and anxiety (Venkatesh & Davis, 2000).

TAM's Application in Educational Settings

The rapid expansion of technology in educational environments necessitates a deeper understanding of user acceptance. Scholars have applied TAM to evaluate educational technologies' effectiveness and predict their usage (Nagy, 2018). The effectiveness of digital tools in enhancing learning outcomes relies significantly on educators' and students' willingness to adopt them.
A pivotal aspect of TAM is its ability to analyze and predict how users adapt to new educational technologies, such as Learning Management Systems (LMS), e-learning platforms, and decision-support applications. For instance, during the COVID-19 pandemic, educational institutions had to pivot to online learning rapidly. The acceptance of e-learning tools was crucial for continued education, leading to an unprecedented surge in their utilization (Almalki et al., 2020).

Advantages of Utilizing TAM in Education

- Predictive Insights: TAM offers valuable insights into potential barriers and challenges related to technology adoption in educational settings.
- Enhancement of Training Programs: By understanding the factors that influence user acceptance, institutions can tailor their training programs accordingly to address specific concerns and enhance usability.
- Informed Policy Development: TAM can guide policymakers in making more informed decisions regarding technology investments and implementations within educational frameworks.

Overview of a Case Study on TAM

One notable study on the application of TAM in education examined the factors influencing pre-service teachers' intention to use technology, focusing on constructs such as Technological Pedagogical Content Knowledge (TPACK), teacher self-efficacy, and TAM components (Tarhini et al., 2017). The research aimed to understand how these factors interact to influence future educators' acceptance of technology.

Key Findings

The study revealed several crucial insights:
1. TPACK's Influence: Educators with a strong foundation in TPACK were more likely to perceive technology as useful and beneficial to their pedagogical practices. This knowledge framework integrates technology's pedagogical and content knowledge, supporting effective teaching strategies (Mishra & Koehler, 2006).
2. Self-Efficacy and Motivation: High levels of self-efficacy correlated significantly with positive attitudes toward technology adoption. Educators who felt confident in their ability to integrate technology into their teaching were more receptive to new digital tools.
3. Positive Attitudes Lead to Increased Adoption: The interaction between perceived usefulness, perceived ease of use, self-efficacy, and TPACK was significant in shaping educators' overall attitudes regarding technology use. Those who experienced a positive attitude were more inclined to incorporate technology into their lessons (Tarhini et al., 2017).
Overall, the findings underscore the necessity for training programs that not only impart technical skills but also foster self-efficacy and a holistic understanding of pedagogical strategies linked to technology use.

Conclusion

The pervasive influence of technology in education cannot be overstated. The Technology Acceptance Model (TAM) serves as a robust framework that allows educators, administrators, and policymakers to understand and enhance the adoption of technology in learning environments. By appreciating the factors that contribute to perceived ease of use and usefulness, educational stakeholders can develop more targeted strategies for training and implementation.
With the evolving landscape of education, particularly given the rapid shift to online and blended learning models, leveraging TAM can drive more efficient integration of technology and enhance educational outcomes. As new technologies continue to emerge, it remains crucial for educational institutions to cultivate an environment of adaptability and acceptance among faculty and students.

References

1. Almalki, A., Alqurashi, A., & Alghamdi, M. (2020). The Impact of COVID-19 on Education: A Study on Learning Management Systems’ Acceptance and Usage. Education and Information Technologies, 25(2), 1195-1215.
2. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
3. Chang, C. T., Hajiyev, J., & Su, C. R. (2017). Examining Students’ Behavioral Intention to Use E-Learning in Azerbaijan: An Extended Technology Acceptance Model for E-Learning Approach. Computers & Education, 111, 12-23.
4. Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108(6), 1017-1054.
5. Nagy, J. T. (2018). Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model. International Review of Research in Open and Distributed Learning, 19(1).
6. Tarhini, A., Hone, K., Liu, X., & Tarhini, T. (2017). Examining the Moderating Effect of Individual-Level Cultural Values on Users’ Acceptance of E-Learning in Developing Countries: A Structural Equation Modeling of an Extended Technology Acceptance Model. Interactive Learning Environments, 25(3), 277-296.
7. Venkatesh, V., & Davis, F. D. (2000). A Unified Model of Technology Acceptance and Use. MIS Quarterly, 27(3), 425-478.
8. Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2019). Examining the Main Mobile Learning System Drivers' Effects: A Mix Empirical Examination of Both the Expectation-Confirmation Model and the Technology Acceptance Model. International Conference on Advanced Intelligent Systems and Informatics, 1-8.
9. Ali, Z., Gongbing, B., & Mehreen, A. (2018). Understanding and Predicting Academic Performance through Cloud Computing Adoption: A Perspective of Technology Acceptance Model. Journal of Computers in Education, 5(3).
10. Joo, Y. J., Lim, K. Y., & Kim, H. (2018). The Effects of the Online Learning Environment on Learner Satisfaction and Learning Outcomes: The Mediating Role of Self-Regulated Learning. Interactive Learning Environments, 26(3), 252-265.
This paper has explored the significant role of TAM in understanding technology acceptance in educational settings, providing insights into fostering a successful integration of technology in teaching and learning processes.