Culturally Relevant, Developmentally Appropriate Lesson Plan

Early childhood educators and administrators play an important role in the development of culturally relevant, developmentally appropriate curricula. As discussed in Chapter 3, the concept of culturally relevant, anti-bias instruction includes planning lessons that are relevant to the children and families in your program. For inspiration, read the article Reading Your Way to a Culturally Responsive Classroom (Links to an external site.). Using the required Lesson Plan Template (Links to an external site.), create two multicultural lessons that you could conduct as an early childhood professional based on the developmental level of your choice:

• Infant/toddler (must be activity-based)
• Preschool (can be literature- or activity-based)
• Early elementary (must be literature-based)

It is required that you use the Lesson Plan Template to complete this portion of your assignment. It is suggested that you utilize the Early Childhood and Child Development: Lesson Plan Handbook download as a guide for how to effectively plan this lesson.

The Culturally Relevant, Developmentally Appropriate Lesson Plan

• Must be two to three double-spaced pages in length (not including title and references pages) and formatted according to APA Style (Links to an external site.) as outlined in the Writing Center’s APA Formatting for Microsoft Word (Links to an external site.) resource.
• Must include a separate title page with the following:
  • Title of paper in bold font
    • Space should appear between the title and the rest of the information on the title page.
  • Student’s name
  • Name of institution (University of Arizona Global Campus)
  • Course name and number
  • Instructor’s name
  • Due date
• Must utilize academic voice. See the Academic Voice (Links to an external site.) resource for additional guidance.

Reply to my peers

Peer 1

Theoretical Frameworks

            The two academic journal articles by authors L. Connelly and H. Green gave me more incite regarding the nature of theoretical frameworks and their purpose for giving a research study direction or an identifiable outcome. The incorporation of a theoretical or conceptual framework is part of a research study, such as the use of Grounded theory. An inductive method in which, theory generation comes from data collection and analysis. However, some researchers may utilize theories in order to link findings together and make them meaningful (Green, 2014). 

            The lack of research comparison for nurse practitioner education and clinical training has not defined any prevalent or common themes/theories. Some qualitative studies regarding nurse practitioner education models referenced the work of Martha Rogers, a pioneer in a Unitarian concept of nursing. Rogers influenced conceptual thoughts that the participatory process is emphasized for learning and success of the nurse-patient relationship. Nurse practitioners require sophisticated education, expansive skillsets, clinical/diagnostic reasoning experience and develop a broader scope of nursing practice. A recent outcome-based study on NP education revealed a insufficient amount of theoretical models (Wood, 2020). Thus, the conceptual map below should illustrate the basic use of Grounded theory to compare qualitative research to support a generalizable hypothesis for the most effective NP clinical education model, based competency and confidence.

References

Green, H. E. (2014). Use of theoretical and conceptual frameworks in qualitative research. Nurse Researcher, 21(6), 34-38. DOI: 10.1097/ANS.0000000000000301

Wood, S. K. (2020). Keeping the Nurse in the Nurse Practitioner: Returning to Our Disciplinary Roots of Knowing in Nursing. Advances in Nursing Science, 43(1), 50–61. doi: 10.1097/ANS.0000000000000301

Peer 2

Theoretical frameworks are the basis for nursing theory.  When considering the theories that are pertinent to the treatment of diabetic ketoacidosis (DKA), the theories that stand out are Dorothea Orem’s self-care deficit theory and Roy’s adaptation theory.  With both theories, the basis for consideration is that a patient with poorly managed diabetes develops a life-threatening complication of diabetic ketoacidosis, which requires focused detailed care to holistically treat the patient and address each complication.  When reviewing the articles chosen for the research proposal, author Connelly (2014), warns that “theory should not be added to a study because the researcher was told in school that a theory is needed for a research study.” (p. 187).  Theories should fit the research ideas, and often must be added as the research is conducted.  Author, Helen Green (2014) adds that she suggests that a researcher analyze his or her data before drawing any conclusions in reference to theories.  While none of the articles chosen for this project mention theories in the body of their works, it is reasonable to infer which theories such as Orem’s self-care deficit theory and Roy’s adaptation theory could be applied to each of the articles.

References

Connelly, L. M. (2014). Use of theoretical frameworks in research. MEDSURG Nursing, 23(3), 187–188. Retrieved June 24, 2021, from https://content.ebscohost.com/ContentServer.asp?T=P&P=AN&K=107863336&S=R&D=rzh&EbscoContent=dGJyMMTo50SeqLM4yOvsOLCmsEmeprRSrqq4SLaWxWXS&ContentCustomer=dGJyMPHl4Um549%2BB7LHjfPEA

Dhatariya, K. K., & Vellanki, P. (2017). Treatment of diabetic ketoacidosis (dka)/hyperglycemic hyperosmolar state (hhs): Novel advances in the management of hyperglycemic crises (uk versus usa). Current Diabetes Reports, 17(5). https://doi.org/10.1007/s11892-017-0857-4

Green, H. (2014). Use of theoretical and conceptual frameworks in qualitative research. Nurse Researcher, 21(6), 34–38. https://doi.org/10.7748/nr.21.6.34.e1252

Jeffreys, M. R. (2021). Data analytics in nursing education: Trended tracking matters for theory, research, and practice. Teaching and Learning in Nursing, 16(2), 181–188. https://doi.org/10.1016/j.teln.2021.01.003

Lee, C., Szwak, J., Bastow, S., & McCarthy, S. (2020). Impact of a nurse-driven diabetic ketoacidosis insulin infusion calculator on the rate of hypoglycemia. Journal of Patient Safety, 16(4), e255–e259. https://doi.org/10.1097/pts.0000000000000647

Mohiuddin, S., & Mohteshamuddin, K. (2020). Combination model for sustainable change by utilizing the kotter’s change model and the hersey and blanchard’s leadership model for improving medication errors reporting. Journal of Medical and Allied Sciences, 10(1), 25. https://doi.org/10.5455/jmas.76372

Murphy, C. V., Saliba, L., MacDermott, J., Soe, K., & Dungan, K. M. (2020). Individualizing glycemic control in the critically ill. Critical Care Nursing Quarterly, 43(1), 14–27. https://doi.org/10.1097/cnq.0000000000000288

Sindi, B., Alazwari, N., & Khateeb, A. (2017). Management of diabetic ketoacidosis in patients with diabetes type i. The Egyptian Journal of Hospital Medicine, 69(4), 2278–2285. https://doi.org/10.12816/0041530

The movie name is THE BIG SHORT

Discussion 5: The Big Short

1010 unread replies.1515 replies. 

After watching The Big Short, submit a post that addresses one of the following questions: 

· In your opinion, who—if anyone—was morally responsible for the crash? As you address this prompt, be sure to discuss the relevant material in Ethics, § 1. 

· In your opinion, was it unethical for Scion Capital, FrontPoint Partners, and Brownfield Capital to profit from the crash? As you address this prompt, be sure to discuss the relevant material in Ethics, § 2. 

· In your opinion, which view of a manufacturer’s duties to consumers—contractual, due-care, or social costs—should have been applied to Deutsche Bank? As you address this prompt, be sure to discuss the relevant material in Ethics, § 6. 

· In your opinion, was there a conflict of interest for Standard & Poor’s? As you address this prompt, be sure to discuss the relevant material in Ethics, § 8. 

After you submit your post, respond to the posts of two of your classmates. Ideally, you would respond to one post with which you agree and to another post with which you disagree; in any case, be sure to explain in each of your responses the reason that you agree or disagree. 

Note that, in each post, you do not need to write more than one paragraph. However, you may—and probably should!

 

Assembly assignment

A valid password consists of up to 7 characters and must contain one lowercase letter, at one uppercase letter, and one digit from 0-9. You are a security consultant for company XYZ. Your job is to assess the security of their password protected network. To enter their network, the user must pass the password checker. This is accomplished by calling a function and passing into the function a password string:

int check_password(char *passwd);

check_password returns a 7-digit integer of 0s and 1s to indicate which character was correct (0 to indicate a character was incorrect, 1 to indicate it is correct, and 2 to indicate it was not used). If the password entered is “aB2” and the passwd is “a11”, then check_password returns the integer 2222100. If passwd entered is “ab2”, then check_password returns the integer 2222101.

Your assignment is to write an assembly function “hack_password” that will find the secret password stored in “check_password” by iterating through all possible combinations of a-z, A-Z, and 0-9 according to password rule given above and calling the function check_password to determine when the return value is all 1’s and 2’s (e.g., 2211111, 1111111, 2222111, etc…). Note that the correct password decoder returns indicator that a character was not used as well. hack_password will print out the correct password.

You may write the main driver in C as follow:

int main()

{

hack_password();

return 0;

}

  Reply to this discussion use references

Be sure that the responses to the  Post of peers include 2 peer reviewed references with content that demonstrates critical analysis and synthesis of references used.  

Potential Benefits of Using Big Data as Part of a Clinical System

Health care systems use an abundance of resources to collect big data. Big data can be collected from electronic medical records (EMR), imaging, public records, pharmaceutical research, patient portals, wearable devices, and more (Shanthagiri, 2014). Several app developers are deploying beneficial apps to assist patient to manage their care, locate providers and improve their health (Raghupathi & Raghupathi, 2014). Not only can these apps provide analytical information to the patient profiles they can assist patients in making preventative care or lifestyle changes, find support prevention initiatives, identifying/detecting diseases in early stages, and provide more patient specific goals (Raghupathi & Raghupathi, 2014). Big data that can be extracted from patients’ wearable devices and personal apps can assist clinicians to track their lifestyles and compare them on a larger scale across populations with or without similar lifestyles and geographical locations.

Potential Risks/Challenges of Using Big Data as Part of a Clinical System

 There are several challenges when it comes to big data extracting. The one that correlates with the patient app that is linked with their wearable device is the risk of data security and most importantly who owns the data (Shanthagiri, 2014). Is it the patient, the generators of the app, the clinicians, the information technology department that is extracting the data? Though raw data information needs to be extracted to create new knowledge, and ultimately wisdom (Laureate Education, 2018) it cannot always be done due to legal reasons. Determining who owns the data is crucial and should be included in the acknowledgments and allow a release of patient’s data when accepting and downloading the app when checking the “I Agree to” check boxes. If information, such as the data, may not be extracted if it is not included or else there could be legal complications if the patient did not consent to release their information. Therefore, a lawsuit could occur. Lastly, being able to deal with and understand big data can be challenging and difficult (Thew, 2016), so creating an app that is user friendly and easy to exact usable data will be important.

Strategy to Mitigate the Challenges/Risks of Using Big Data

            With challenges there are always strategies to attempt to mitigate the challenges and risks when using big data. As I previously stated there are risks with security when apps and personal data is imported into systems. A way to assist with security holes or breeches is to be cautious and be cognizant in the beginning stages of designing the programs, because if you do not start with big data security from the start, you will get bite when you least expect it (Bekker, 2018). Additionally, when creating an app or a recourse for patients to utilize that will track patient data be sure to include an acknowledgment that states that data will be extracted and utilized to track their health and obtain large scale data from their records. This will decrease the chances of lawsuits and additionally inform patients that this data is not just theirs but the apps owners and whomever they may sell or share their data with.