**6.1 Step1**

A model created by evaluating training data using domain experts' knowledge. Then the model applied and developed to new data based on distances using the Euclidean distance (see figure 3).

Then based on the distances we create the classes (see figure 4).

Digital Faces on the Cloud 53

This algorithm will minimizes the intra-cluster variance however the results will depend on the initial choice of weights. Thus we will repeat the algorithm with different weights until it converges (that is when the coefficients fail to change between two iterations) and each time we will compute the centroid for each cluster. Based on the learning preference choices after an assessment test we will choose the number of classes based on the outcome. We will assign membership to each student based on their preference of learning. For example, if a student has a membership value of 0.0, thus he/she is not a member of this class. However if a student likes to learn using more than one method the he/she could have a memberships in more than one class (partial member to more than one group) and lastly if the student has a membership value of 1.0 that means he/she belongs only to this group. By assigning memberships we will know our population better and we will design the

learning and teaching modules based on that outcome. For example, see figure 5.

Fig. 4. New classes

Fig. 5. Memberships assignment

Fig. 2. Second Life at TAMU Qatar

Fig. 3. Euclidean distance

Fig. 2. Second Life at TAMU Qatar

Fig. 3. Euclidean distance

Fig. 4. New classes

This algorithm will minimizes the intra-cluster variance however the results will depend on the initial choice of weights. Thus we will repeat the algorithm with different weights until it converges (that is when the coefficients fail to change between two iterations) and each time we will compute the centroid for each cluster. Based on the learning preference choices after an assessment test we will choose the number of classes based on the outcome. We will assign membership to each student based on their preference of learning. For example, if a student has a membership value of 0.0, thus he/she is not a member of this class. However if a student likes to learn using more than one method the he/she could have a memberships in more than one class (partial member to more than one group) and lastly if the student has a membership value of 1.0 that means he/she belongs only to this group. By assigning memberships we will know our population better and we will design the learning and teaching modules based on that outcome. For example, see figure 5.

Fig. 5. Memberships assignment

Digital Faces on the Cloud 55

5. How often do you have opportunities for collaborative learning in a face-to-face

6. How often do you have opportunities for collaborative learning in a virtual classroom?

We use to think that having our documents and financial statements on our computers is the

A cloud is basically a giant server that we access remotely; typically with a mobile device or a computer since with cloud computing we only need a mobile device or a monitor and keyboard to access the information. If we are using hotmail, yahoo mail or facebook then we are using the cloud since the e-mail in not on our own device but it is somewhere on a

Clouds exist all over the world and are mostly operated by giant corporations such as Google, Yahoo, and Amazon. Now Texas A&M University at Qatar has teamed up with IBM, Carnegie Mellon at Qatar, and Qatar University to create a consortium called Qatar Cloud Computing to the Middle East (Qloud). The Qloud is developing courses on cloud

Students at Texas A&M University at Qatar (TAMUQ) are no longer having to travel miles to experience life at the main campus in Texas. Students could interact virtually with students at the main campus and enjoy the interaction with the students on the other side. Here at TAMUQ students take as many courses as they can in the first few years in the Qatar campus and then relocate to university's main campus in Texas-USA during their

The cloud is on-demand computing, for anyone with a network connection accessing applications and data anywhere, anytime, from any device these are similar to Facebook or e-mail which are repositories for data and we can access this data from any internet-enabled device, from our iPhones to our desktop computers. From the consumer point of view, the storage of digital images or e-mail messages is stored somewhere in the cloud. We don't need to know where specifically, we just can to use it with a valid id and web connection. No doubt that cloud computing is the next big wave in computing. It is changing what we

1. For usage as a personal workspace that can be accessed anywhere, anytime (see figure

2. For Personal Learning Environments, students can have personalized tools to meet their

5. For teaching and learning so instructors can use YouTube, iTunes, e-mail, or mic on the

3. To minimizes the need to back up all files or transfer files from one device to another

3. How comfortable are you working on problems in a face-to-face classroom? 4. How comfortable are you working on problems in a virtual classroom?

only safe place for them. Now, cloud computing has changed our way of thinking.

computing and have an environment for industry experts and researchers.

are using on our desks and schools and how we access and share documents.

senior year working on the rest of their courses if they wish.

own personal needs and preferences (see figure 8).

4. To use large amounts of processing power for solving big problems

classroom?

**6.3 Sep3** 

7).

**Typical uses of cloud** 

cloud (see figure 8).

**Learning Model using cloud-based strategy** 

server and we just have access to it with a login id.
