CTE Course Discussion 1
DISCUSSION POINTS:On the top, there are some discussion points related to this entry. I think the difficulty rate depends on the individuals in the classroom because one cannot be the same with the others. One possible problem with data-driven learning can be getting out of the purpose since the curiosity might take the students' minds too far away from the goals that teacher expects.
- How easy do you think it would be to follow the data-driven learning principles in a face-to-face (f2f) classroom? What problems would you anticipate?
- Would data-driven learning work best with individual students, or group work?
- To what extent might computers and the internet enhance data-driven learning?
Again, it depends on the individuals because one might like to discover alone as opposite to ones that might like to discover by completing one another' ideas. For example, I don't usually like to work with a group, they have often came back after me to some points. So how can I possibly discover and learn something better within such a group.
Well, as the last point it is very possible that curiosity comes with a price and the price is in this condition, the false knowledge that comes with the Internet. However, it is nearly impossible to avoid using Internet since the sources such as encyclopedias are not handy to use. Through the Internet, one can easily find out the information that is needed and the information will trigger the student by prompting their curiosity.
Also, there are some tools related to the discussion above. One of them is Worldle.net which helps to create an image of the texts by putting the most used words in an order as the most used one comes up the biggest.Another tool is smmry.com which helps people to summarize a text easily with an algorithm. So that, people can find out what the text is really about; however, it might not be good as a summary made by a real person.
"TASK BASED LEARNING Task-based language learning is an approach which was developed in the 1980s by the Indian language teaching specialist N.S. Prabhu. TBL is based on the idea that the acquisition of language and linguistic competence as well as language and language learning awareness can best be realised through tasks which encourage the learner not to focus explicitly on the structure and the rules of the new language. AIM OF DATA DRIVEN LEARNING The principal aim of all teaching activities must be the creation of a learning environment in which learners are asked to carry out authentic tasks. Providing the appropriate data, organized into suitable units of information and supported by relevant processes must be the foremost task of educational design of any kind of language learning and teaching resource in order to contribute to the success of any learning situation. The traditional transmission model of learning must be replaced by models which emphasise information processing and knowledge construction as acts of learning most suited to the acquisition of the kind of skills needed for the knowledge society. In addition to the undeniable need to achieve instructional goals, the development of cognitive and strategic abilities suitable for the knowledge society is defined as one of the principle aims of a learning process based on knowledge construction and discovery learning."The text above is just an example of smmry.com
A vocabulary profile that is created by Wordle can be used in classroom environment of language teaching to teach students most common words so that students can learn the priority of the words and they can try to learn them since they are important for the language.
There is also another website can be used as a tool as Wordle which is Concordle. Moreover, at some point Concordle is more helpful in learning because once you click on the word, it will give you the sentences that includes the word. For example, you click on the word 'materials' and you will see examples like
| that the advent of technology enhanced learning | materials | requires a re -thinking of the methodological |
Here we have some more examples of Smmry and Wordle:
"Why would you want to learn the frequent words of English? For the simple reason that English, like any language, has the habit of recycling a relatively small number of words over and over again, and if you know these words then your reading power can be enhanced dramatically for a relatively modest learning investment.
Different words Percent of word tokens in average text 86,741 100 % 43,831 99.0 6,000 89.9 5,000 88.6 4,000 86.7 3,000 84 2,000 79.7 1,000 72.0 10 23.7 Table 1 How small a number are these 'main words' that are recycled over and over in English? Suppose your goal is to read academic English texts with good comprehension, and to use reading as a way to expand your vocabulary still further.
Just 1000 word families account for more than 70% of the words or ink, and 2000 account for about 80%. So you need to find out what these 2000 word families are and be sure you know them.
You could learn another 3000 words and increase the amount of black ink coverage in an average text by only about 8%. The graph below, which is just the table above turned on its head, dramatizes the drop-off in coverage after 2000 words.
The learner reaches the 90% mark only at 5000 words, or after another 3000 new words have been learned.
The good news is the 2000 list and the AWL together, a combined list of 2570 words, can bring the coverage of an academic text up to approximately 90%. In other words, if you know the first 2000 plus 570 AWL words, then you know about 90% of the words you will meet in any academic text."
The examples are related with the website Lextutor.ca which is kind of a dictionary of frequency. By using lextutor, one can find the most common words in Lextutor easily. Finally, I have prepared a quiz about Lextutor which you can access on socrative by entering the code: SOC-2358693
