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Volume Two - Academic Conferences

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Ahmed Salem<br />

The SQS feeds from the question bank of the course on the course’s server. The server is<br />

programmed to offer the quizzes through the SQS in the appropriate classes’ time slot according to<br />

the course activities agenda, which is distributed to the students at the first day of the classes. The<br />

student can run their local SQS on their local sets all the time for training purposes, however during<br />

the class; they have to pair with the server to take the assigned quiz.<br />

Once the SQS starts, it looks for an initialization file that is to be supplied by the teacher. If none<br />

exists, it uses a default file. This file specifies the quiz allowable time, number of questions, number of<br />

choices for every question, the number of figures associated with the questions and the required<br />

BTLD for the quiz among many other quiz customization data as detailed in section 3 of this paper.<br />

The SQS then reads from the quiz bank the designated quiz and its associated figures, and generates<br />

a set of questions that both targets the predetermined BTLD (or a composition of them) and fulfils the<br />

customization criteria according to the teacher setting. A random subset is generated from this set for<br />

every student.<br />

5. Automated self assessment technique<br />

Assessment is an indispensible part of the design of the learning experience. It sheds light on how far<br />

the students progressed for the teacher and provides them with the appropriate feedback on how<br />

good was their performance (Fabry, V. J., et al. (1997)). In this tool, we also add an educative<br />

component to it that informs the students instantly if his/her choice of answer was correct or not. The<br />

right answer is marked in every question’s choices and the computer compares the student answer to<br />

the correct one. The students would know the right answer after they provide their answer. The self<br />

assessment mechanism that is installed in the quiz system is fully automated and is adjustable to<br />

cater for the teacher goals (Wiggins, G. (1998)). Once the student answers the question, a verification<br />

windows pops up with both the question and the student’s selected answer together, asking the<br />

student to confirm her/his choice. If the student still hesitant they can opt to leave the verification step<br />

and go back to think about the answer. If s/he is sure, they proceed with the verification and accept<br />

their answer.<br />

If they answer is correct, the grade is calculate automatically against the right answer and is reported<br />

to the screen. Thus, the student has an instant feedback. If the answer is wrong, the program reports<br />

to the screen also instantly. In this case, the program reports what was the right answers, so that the<br />

student gets to know why what s/he thought is the right answers was wrong. This feedback is crucial<br />

pedagogy for the students to help them rethinking the construction of the right representation of their<br />

knowledge according to the constructivism theory (Chapman, D. W. (2000), and L. Dee Fink (2003)).<br />

When the student finishes the quiz, a fully detailed report is written and the total grade it reported<br />

automatically to the student’s screen and to the teacher on the system server. Also, an Excel work<br />

sheet is initiated and populated automatically for the grades of all the students in the class. A<br />

performance distribution curve is fitted to the histogram of students’ grads. This gives the teacher an<br />

instant assessment of the class performance in the quiz.<br />

6. How it works<br />

The Active learning experiences considered here is designed according to the simple design model<br />

(Michael, Joel A. and Modell, Harold I. (2003)) as illustrated in (Salem, A. Z. (2011)) were every<br />

learning experience is composed of three phases: Input, Process, and Output regardless of its scale.<br />

The entire Active Learning course is seen as such a model and every learning experience within it is<br />

modeled as such also. Even if a learning experience does include several mini learning experiences,<br />

each one of them is modeled also according to these three phases. Figure 2 (curtsey from Salem A.<br />

Z., (2011)) illustrates this model. The input phase is for assessing the readiness of the students and<br />

raises it if needed. The process phase is done mostly in class and the output phase is result (and<br />

continuation) of the learning experience.<br />

Consider a learning experience that is designed to help the learner to reach the Comprehension level.<br />

It starts in the input phase by two steps. First, helping the students to achieve both the Access and<br />

Knowledge levels and second, prepare them for the Comprehension level process that will take place<br />

in the classroom. We focus here on the second step assuming that the first was successfully<br />

completed. To prepare the student for the Comprehension phase we may suggest the following<br />

design of the learning experience.<br />

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