Respond to 3 students discussion using the rise Model Due Thursday November 4, 2023 by 11:00 pm Must Read Everything: Reply to at least two classmate’s posts, applying the RISE Model

Respond to  3 students discussion using the rise Model

Due Thursday November 4, 2023 by 11:00 pm

Must Read Everything: 

Reply to at least two classmate’s posts, applying the RISE Model for Meaningful Feedback

I will also show an example below of how the response needs to be addressed.

Here's an example of how the response should look. Please don't copy it. 

The response to the classmate need to be just like this. 

Example Response (Response Needs to be writen just like the response below No copying)

RISE Feedback:

REFLECT: I concur with "Action plans should reflect the type of services that are needed and have an idea of the expected outcome of the services" because it is in line with Hatch and Hartline's intentional school counseling guidelines in regards to determining students needs.

INQUIRE: Can you further explain what "closing-the-gap action plans" are? 

SUGGEST: I encourage you to revisit Hatch and Hartline's MTMDSS tier interventions in order to add a citation that would illustrate your example on bullying prevention efforts. 

ELEVATE: What if you re-purposed "For example, after a needs assessment, the school is having problems with bullying" as "Following Trish Hatch's MTMDSS tier based interventions, if the school is having problems with bullying, after a needs assessment, we could… citation…"  for a more weighted argument?

ReferencesHatch, T., & Hartline, J. (2022). The use of data in school counseling: Hatching results (and so much more) for students, programs and the profession (2nd Ed.). Corwin.

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See below for the two classmate discussion post that you will need to respond to

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Response 1- Courtney

What types of measures are used in research?

There are various types of measures used in research to gather and analyze data (McMillan, 2016). According to McMillan (2016), some types of measures are as follows: 

• Tests – this measure assesses cognitive performance on tasks through standard questions. Examples include IQ tests and achievement tests.
• Surveys/Questionnaires – this measure uses questions/prompts to gather participant data to understand traits, such as attitudes, beliefs, and perceptions. 
• Interviews – questions are asked to participants, and answers are recorded/summarized to gather data.  
• Observations – researchers use this measure to observe behaviors and record descriptions of the behaviors in the natural environment.  

Researchers choose the appropriate measure based on their research objectives and the data they seek to collect (McMillan, 2016).  

What is the average range?

The average range is determined by finding the difference between the lowest and highest scores for a specific time frame and then averaging those differences over multiple periods (McMillan, 2016). This can be helpful in educational research as researchers can use the average range to study performance over time and identify trends impacting outcomes.  

How might you use the data to develop prevention and intervention programming?

As McMillian (2016) mentions, one cannot determine the best course of action to support student learning based on a singular assessment/score. Instead, researchers and educators need to look at various measures to get a comprehensive view of student deficits and limitations to make well-informed decisions on preventative and intervention strategies that will promote student success (McMillan, 2016). For example, looking at two measures, such as a standardized test and a questionnaire, there may be a correlation between attitude and low achievement. If a student does not believe they can achieve and/or does not believe school is important, their belief may be reflected in a low achievement score on a standardized assessment. This is informative data as the prevention and intervention strategies may want to include targeting attitudes and beliefs along with academic skills to enhance the student’s effort and improve outcomes. Another example of using multiple measures to develop appropriate prevention and intervention strategies is analyzing behavioral, academic, and attendance data. Is the student academically low because they are rarely at school? Is the student’s behavior impeding learning? Is the student’s behavior due to the frustration of not understanding the content? When looking at these measures together, educators can gain a well-rounded perspective of the problem and develop effective prevention and intervention strategies that address the root cause and support student success.  

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Response 2- Stacy

 Counselors will use Evidence Based assessments such as tests, surveys, structured interviews and observations, and other rating scales to measure and report quantitively with statistics ( McMillan, 2016).  Educators will use both quantitive and or qualitative techniques to collect data but it will depend on the nature of the measurement. Observation assessments can help by differentiating high reasoning and low reasoning observations and we must draw weary if there is any observer bias that can manipulate any results (McMillan 2016). Standardized testing has unique procedures in which time is allowed such as describing learning tasks that can not be performed, and this test would be for administration and scoring (McMillan, 2016).

In standard-based tests usually, these tests are judged by proficient or NOT proficient, depending on what the scores are, have very generalized outcomes. Observations and interviews are very important factors in collecting data because in educational measures these two data collectors tools can bring important information for measurement such as a better understanding of a program, feedback important to performance, allows a description of certain behaviors (McMillan, 2016). According to McMillan, Observation techniques can be gathered in natural settings or can be important because of contextual factors that can influence the translation of data and the results (2016). Interviewing to collect data (quantitive and qualitative) has many advantages and disadvantages, one of them being time-consuming and a positive key point is that you can record them to analyze them more clearly. Interviewing can allow for a more in-depth rapport filled with details with the (client) in this case stakeholders, and it can be very beneficial for that factor.  These types of data-collecting tools can be beneficial for the counselor to improve the program, and for students so that we know more in-depth about what types of interventions we need to do. Lastly, it can be beneficial collectively fo r the school site and school district, as we identify gaps that need to be addressed for the student population. 

Reference 

McMillan, J. H. (2016). Educational Research: Fundamentals for the Consumer (7th ed.). Pearson

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Response 3- Angie

Select two types of evidenced-based educational assessment, how can these resources add to your core foundational knowledge for implementing practices and strategies in research and program evaluation? 

As a school counselor it is vital that we implement many different research techniques in order to gather information that will ensure a better outcome and success rate for all of our students. We are given a variety of ways in which we can measure our students' knowledge, abilities and skills (McMillan,2016). There are both quantitative and qualitative approaches we can use to measure our data. One evidence-based educational assessment would be standardized tests; they have uniform procedures for administering and scoring- informing individuals of how much time they have, and scores are usually objective (McMillan, 2016). These tests help us close any educational gaps and see where our students are struggling the most. Another assessment would be questionnaires which are widely used in education for research; they are written documents that obtain individuals perceptions, attitudes, beliefs, values, perspective and other traits (McMillan, 2016). As counselors, it is vital we get to the individuals we work with and their backgrounds to ensure we are putting in place appropriate support. 

In what situation(s) would observations and interviews be used to collect data in educational settings and/or educational practices? How would the data support effective practices at the individual, group, and/or systems level?

As counselors and working in education overall observations and interviews are quite common since we want to ensure we are constantly gathering data from the communities we work in. I have sat in with one of our school psychologists to observe a student who was put in a new environment, and she wanted to measure whether the interventions put in the palace in that classroom would benefit the student. By interviewing our students, families and staff we can collaborate with resources outside of the school that would benefit our school based on the questions and answers we ask individuals. Putting in place these assessments we are able to collect data that would benefit multiple levels in education.

Mcmillan, J. H. (2016). Fundamentals of educational research (7th ed.). Pearson.