An_intervention_presentation._T7_SCN-620
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Chemistry
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Apr 3, 2024
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AN INTERVENTION PRESENTATION
Presented by: Khira McKenney
SCN-620: Educational Testing and Measurements
Professor Dr. Tonya Drake
SCN-620 Educational Test and Measurement
IMPORTANCE OF DATA-DRIVEN INTERVENTIONS IN THE IMPROVEMENT OF STUDENT LEARNING
Data-driven interventions:
●
Enables the teachers to design lessons as per the results
●
Guides on how to group learners
●
Aids in scaffolding processes and activities
●
Facilitates the differentiation of learning instructions
●
Guides in detecting learners who may need additional help
●
Are effective in the transformation of classrooms
●
Vital in the improvement of teacher response and time-saving
●
Ensures instruction delivery is relevant
GROUPS THAT REQUIRE INTE
Based on the interpreted data various groups can require the following interventions:
➔
Classrooms intervention
➔
Response intervention
➔
Academic intervention
➔
Behavior intervention
➔
Instructions interventions
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CLASSROOM INTERVENTION
The four main parts of classroom interventions are:
★
Proactive: is concerned with issues of need before they grow into huge obstacles to learning
★
Intentional: directly resolves a noticed weakness.
★
Formal: uses a targeted approach in addressing specific needs and follows progress
★
Flexible: modifies methods as per the wants of the student
IMPROVEMENT OF CLASSROOM INTERVENTIONS In order to improve classroom interventions, the teacher can:
●
Increase time allocations
●
Add more intervention segments
●
Enhance types of services ●
Widen student access ●
Remove identified barriers
WHAT IS A DATA-DRIVEN INSTRUCTION PROCESS?
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COMPARISON BETWEEN TRADITIONAL AND DATA DRIVEN E-LEARNING IN TERMS OF ACTUAL LEARNING
SOCIAL AND CULTURAL FACTORS IN DATA FOR COUNSELING SERVICES
1.
Such data are more effective in the treatment process.
2.
They facilitate easy diagnosis.
3.
Assist counselors improve the quality of treatment.
4.
Are helpful in the advancement of treatment methodologies.
CONTINUED SOCIAL AND CULTURAL FACTORS IN DATA FOR COUNSELING SERVICES
1.
The data direct clinical decisions
2.
Data-driven counseling leads to more confidence in decisions made.
3.
It saves a lot of costs.
4.
Allows the counselor to detect social-cultural factors which could be interpreted as mental illness.
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INTERVENTION STRATEGY THAT PROMOTES LEARNING OUTCOMES FOR THE IDENTIFIED GROUP OF STUDENTS
➢
The identified group of students has academic challenges.
➢
They are provided with academic (Instructional) interventions.
➢
These interventions deal with:
○
Learner’s academic challenges, for instance, reading or calculations
○
It entails deep progress tracking ○
Regular adjustments to reach the highest ○
Academic proficiency.
○
It also entails response to Intervention.
○
These incorporate the three tiers of intervention.
ETHICAL CONSIDERATIONS WHILE CREATING AND IMPLEMENTING AN INTERVENTION
❏
The intervention should not harm! ❏
Should Respect people as ends and treat people as unique persons.
❏
Respect the legal rights of every person.
❏
Do what is best in the prevailing circumstance.
❏
Shun exploitation of participants in the learning process.
LEGAL CONSIDERATIONS WHILE CREATING AND IMPLEMENTING AN INTERVENTION
●
Full adherence to prevailing laws and regulations
●
The participant should be given access to information regarding the concept
●
Informed consent before participation
●
Practice no harm to the surrounding
●
Protection of participation against victimization ●
Limited access to data
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REFERENCES
●
Gaur, S., Chaudhary, A., & Mittal, M. (2015). A comparative study of e-learning technique with traditional teaching techniques.
learning
,
3
(8).
●
Van Norman, E. R., Nelson, P. M., & Klingbeil, D. A. (2017). Single measure and gated screening approaches for identifying students at-risk for academic problems: Implications for sensitivity and specificity.
School Psychology Quarterly
,
32
(3), 405.
●
Anita, Y., & Carol, K. (2015). School counseling professional development: Assessing the use of data to inform school counseling services.
Professional School Counseling
,
19
(1), 1096-2409.
●
Fowler, D. J. (2016). Using data to close the achievement gap.
Principal Leadership
,
16
(7), 52-57.
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