A Proposed Model for Individualized Learning through Mobile Technologies Farhan Obisat and Ezz Hattab Abstract— Mobile Learning (mLearning) describes a new trend of learning that uses innovations like wireless communication, personal digital assistants, digital content from traditional textbooks, and other sources to provide a dynamic learning environment. With the facility of connecting people and information world- widely, the Internet has a major impact on the traditional education. Currently, students can easily access online courses at anytime anywhere in the globe. Since the Internet has been adopted by students, traditional pedagogical models are no more appropriate models. Consequently, new pedagogical models are required. Such models should be student-centric that based on individual student’s learning expectation, styles, interests and abilities. In this paper, first we discuss these four dimensions and then we introduce an individualized learning model that takes these dimensions into account. It discusses 1) student learning styles, 2) student learning interests and 3) student devices, such as personal profiles. The main objective is to help understanding the behaviors of the students and to materialize the concept of personalization. Keywords— e-learning, personalization, profile, device, learning style, and interest. I. INTRODUCTION E-learning and Web-based applications are becoming popular in our daily life it would not go a single day without us using them by (Pc, mobile, internet, TV etc…), so there is a need to know more about them. E-Learning is the currently fashionable term used to describe the diverse use of information and communications technologies to support enhance learning, teaching and assessment – from resource based learning (in which students carry out face-to-face tasks supplemented by a range of online resources) to fully online courses. Manuscript received October 9, 2007: Revised version received March 4, 2008. (Write the dates on which you submitted your paper for review as well as the revised version). This work was supported in part by the U.S. Depart- ment of Commerce under Grant BS123456 (sponsor and financial support acknowledgment goes here). Paper titles should be written in uppercase and lowercase letters, not all uppercase. Avoid writing long formulas with subscripts in the title; short formulas that identify the elements are fine (e.g., "Nd–Fe–B"). Do not write "(Invited)" in the title. Full names of authors are preferred in the author field, but are not required. Put a space between authors' initials. F. A. Author is with the National Institute of Standards and Technology, Boulder, CO 80305 USA (corresponding author to provide phone: 303-555- 5555; fax: 303-555-5555; e-mail: author@ boulder.nist.gov). S. B. Author, Jr., was with Rice University, Houston, TX 77005 USA. He is now with the Department of Physics, Colorado State University, Fort Collins, CO 80523 USA (e-mail: author@lamar. colostate.edu). T. C. Author is with the Electrical Engineering Department, University of Colorado, Boulder, CO 80309 USA, on leave from the National Research Institute for Metals, Tsukuba, Japan (e-mail: author@nrim.go.jp). E-learning is the use of internet technology for the creation, management, making available, security, selection and use of educational content to store information about those who learn and to monitor those who learn, and to make communication and cooperation possible [1] As students completed their course, they were requested to access their regular online course materials from a distance using their existing mobile devices and then asked to provide feedback on their experience using the mobile devices for anytime and anywhere access. The course content for delivery on mobile devices was in XML format using the IMS Learning Design specification. This allows the content to be separated from the presentation and identified specific activities and learning objects within each unit of learning. Also, this allowed content to be displayed in many different formats, in a wide range of layouts, and on a variety of devices. Device detection was done at the presentation level, and depending on the device detected, the stylesheet is selected that best matches the device. M-learning, or Mobile E-learning, is fundamentally E- learning delivered through mobile computational devices (e.g., PDAs, Mobiles, MP players, etc.) [1]. M-learning is much more than simply E-learning through mobile devices. As mobile devices evolve, people discover new ways in which the functionality of these devices can be applied to learning. Mobile E-learning will become increasingly different from conventional E-learning and will create a new learning environment; an environment where learners have access to contents, teachers and other learners anywhere and anytime, where the contents they are accessing are dynamic and dependent on their location in space and time, and finally where learners can record any learning content for later use. General speaking, Mobile learning incorporates within its scope a wide range of activities that provide learners with convenient or contextualized opportunities to access and engage in learning. However, while many approaches to mobile learning capitalize on the mobility of the learner in INTERNATIONAL JOURNAL OF COMPUTERS Issue 1, Volume 3, 2009 125