Properties of Light

 

Watch a video on Analyzing Properties of Light Using Scientific and Mathematical Discourse and do the following:
1. Describe one learning barrier.
2. Describe one example of a teacher addressing this learning barrier.

 

 

Sample Solution

A learning barrier is any obstacle that prevents students from engaging in the lesson or acquiring knowledge (Carroll et al., 2018). In the video “Analyzing Properties of Light Using Scientific and Mathematical Discourse,” one example of a learning barrier can be seen when students are struggling to comprehend more abstract concepts. This may result from not being fluent in the relevant scientific or mathematical language or simply having difficulty grasping certain principles due to lack of experience.(Barab & Squire , 2004)

The instructor has addressed this issue by providing substantial support throughout the lesson. They have done so by breaking down complex topics into smaller chunks and providing numerous examples which help make these concepts more relatable(Chi et al., 2009). Additionally, they have created an interactive environment where discussion is encouraged as well as allowing for ample time for practice and reflection (Scheuermann , 2008).

Overall, this demonstrates how teachers can help mitigate learning barriers within a classroom setting. By breaking down complex topics into digestible pieces and creating an atmosphere that encourages dialogue teachers are able to provide scaffolding which promotes deeper understanding as well as building confidence.(Vygotsky , 1978)

In conclusion,this shows how important it is for instructors to consider potential roadblocks when planning lessons and devise strategies accordingly in order to ensure all students are engaged and able to participate without hesitation.

 

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

This question has been answered.

Get Answer
WeCreativez WhatsApp Support
Our customer support team is here to answer your questions. Ask us anything!
👋 Hi, Welcome to Compliant Papers.