Volume Two - Academic Conferences

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Nahla Aljojo et al. Email: The email icon to send email for any person. Chatting: The Chat icon for chatting with other people Print: The print icon for printing the lessons of the course. Help: for browsing the tutorial of the website. Figure 2: Screenshot of Index Learning styles questionnaires Figure 3: Screenshot of the result of learning style 2.1.1 Domain model We organized each chapter of statistics material by using instructional design theories (Elaboration theory and Component Display Theory (CDT)). Each chapter is generated for a learning goal and is organized around specific outcome concept and each outcome concept is associated with specific learning outcomes as well as with prerequisites and related concepts by using Elaboration Theory (Reigeluth and Stein, 1983). 900
Nahla Aljojo et al. On a micro level the learning content was structured according to Merrill’s component display theory (CDT) (1994). CDT was one of the first instructional design theories that separated content from instructional strategy and it was therefore an important contribution to the field of educational technology (Kovalchick & Dawson, 2002; wolf 2003). The theory comprises four primary presentation forms: rules (general form), instances (concrete examples), practice, and recall. A secondary layer of components includes prerequisites, objectives, helps, mnemonics and feedback. According to CDT, instruction is most effective if all primary and secondary components are present in the instructional materials. In line with CDT, learners should be able to select and jump between components that best suit their needs and preferences. See table 2. Table 2: Components of an exemplary TASAM learning sequence Component TASAM equivalent content Objective Content page :Objective of each related concept Example Content page :Example of each related concept Elaboration Content page: summary of each related concept Elaboration Content page: outline of each related concept Practice Content page :Practice or of each related concept Recall Content page :Test end of each related concept feedback Correct answers of test The concept for providing adaptivity is based on representing specific course elements, or topics, grouped into chapters for a course. The courses chosen to apply the TASAM adaptive system were short introductory statistic courses aimed at first level undergraduates used across two faculties at the King Abdul-Aziz University in Saudi Arabia: The ‘Arts and Humanities’ faculty. The Statistics topic was chosen for several reasons. Firstly, expert-refined and validated learning materials were available, which were kindly provided by evaluation of teacher. Secondly, it was a relatively straightforward task to re-design the materials of a Statistics -related topic for a computer-based environment. Thirdly, Statistics was considered a timely and desirable learning objective for potential participants. Lastly, Statistics course is an abstract topic, which opened opportunities to develop different representations for the same concept by employing different electronically media. The statistics TASAM system ran between 2010 and 2011. Content improvement suggestions and general feedback was collected from participating tutors and students. 2.1.2 Learner model A distinct feature of an adaptive e-learning system is the learner model it employs, that is, a representation of information about an individual learner. Learner modeling and adaptation are strongly correlated, in the sense that the amount and nature of the information represented in the learner model depend largely on the kind of adaptation effect that the system has to deliver. The learner model in TASAM represents the knowledge of the system about the learner. It reflects several characteristics of the learners and supports the communication between learner and system. In our approach, the learner model includes general information about the learner, his/her dominant learning style, username, password, unique ID, age, and e-mail. The learning style state stores values for objects concepts to match learner's learning style that is, media type. It associates a number of learner preferences with each object concept of the domain sub-model resources structures. 2.1.3 Adaptation model The adaptation model in TASAM specified the way in which learning style modify the presentation of the content. It was implemented as a set of the classical structure: If condition, then action type rules. These rules form the connection between the domain model and learner model to update the learner model and provide appropriate learning materials. Following Kinshuk and Lin (2003) moderate and strong preference were grouped together to enable 16 types of combination of leaning style dimensions from which representation templates were generated (see table 3). This provided the basis for enabling learners with different learning styles to view different presentations of the same educational material ( AlJojo and Adams 2009). 901
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Proceedings of the 10 th European C
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Contents Paper Title Author(s) Page
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Paper Title Author(s) Page No. A Qu
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The Project Mobile Game Based Learn
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Extreme Scaffolding in the Teaching
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Malaysia); Tuomo Kakkonen (Universi
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Preface These Proceedings represent
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Mini Track Chairs Dr Antonios Andre
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Cornélia Castro is a PhD student i
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Manuel Frutos-Perez is the Leader o
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David Mathew works at the Centre fo
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Research interests include the inve
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Novita Yulianti is a PhD student at
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Peter Mozelius et al. searching and
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Peter Mozelius et al. Error Handli
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Peter Mozelius et al. were no chanc
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Peter Mozelius et al. single login
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Antoinette Muntjewerff for every st
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Antoinette Muntjewerff All of this
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Figure 1: Metadata editor Antoinett
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Antoinette Muntjewerff The structur
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A Framework for Decision Support fo
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Phelim Murnion and Markus Helfert i
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Phelim Murnion and Markus Helfert 4
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Phelim Murnion and Markus Helfert s
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Phelim Murnion and Markus Helfert P
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Shekhar Murthy and Devi Murthy wisd
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Shekhar Murthy and Devi Murthy educ
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Shekhar Murthy and Devi Murthy Figu
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Shekhar Murthy and Devi Murthy corr
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Shekhar Murthy and Devi Murthy Figu
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Shekhar Murthy and Devi Murthy Stag
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7. Conclusions Shekhar Murthy and D
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Student's Characteristics for Note
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Minoru Nakayama et al. Learning exp
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Minoru Nakayama et al. 3.3 Effectiv
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Minoru Nakayama et al. Table 2: Cor
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Freeing Education Within and Beyond
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Chrissi Nerantzi The aim was to exp
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Chrissi Nerantzi agreeing with Nova
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Chrissi Nerantzi familiarisation wi
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Chrissi Nerantzi Scardamalia, M. an
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Paul Newbury et al. the slides or w
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Paul Newbury et al. multimedia faci
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Paul Newbury et al. It is designed
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Paul Newbury et al. Download figur
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Paul Newbury et al. “Has the fact
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eSubmission - UK Policies, Practice
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Barbara Newland et al. managing stu
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Figure 3: Technical infrastructure
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Barbara Newland et al. and I strong
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Harnessing the Internet for Authent
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Abel Nyamapfene As stated on the co
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Abel Nyamapfene 8. There were suffi
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Abel Nyamapfene Mulnix, J. W. (2011
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Maruff Akinwale Oladejo and Adelua
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2.3 Instrumentation Maruff Akinwale
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Maruff Akinwale Oladejo and Adelua
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References Maruff Akinwale Oladejo
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Adelua Olajide Olawole and Maruff A
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2.2 Sample and sampling techniques
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3.1 Result Adelua Olajide Olawole a
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Adelua Olajide Olawole and Maruff A
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Fatemeh Orooji et al. awareness and
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Fatemeh Orooji et al. Figure 1: The
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Fatemeh Orooji et al. Sensing/intu
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Fatemeh Orooji et al. lower and upp
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Fatemeh Orooji et al. the other dim
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Using Lifeworld-led Multimedia to E
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Andy Pulman et al. A key feature of
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Andy Pulman et al. in this case “
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Andy Pulman et al. The Research Evi
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The Project Mobile Game Based Learn
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Thomas Putz A hybrid game, consisti
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3.3 The different ‘events’ supp
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4. Pedagogical impacts Thomas Putz
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Thomas Putz Fabricatore, C. (2000).
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Ricardo Queirós and José Paulo Le
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3.6 Discussion Topics Ricardo Queir
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The Design and Development of an eL
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Andrik Rampun and Trevor Barker as
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Andrik Rampun and Trevor Barker add
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Figure 5: Screen shot of a user’s
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Andrik Rampun and Trevor Barker 3.1
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Andrik Rampun and Trevor Barker cou
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Kansei Design Model for eLearning:
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Fauziah Redzuan et al. presentation
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Fauziah Redzuan et al. A second sur
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Fauziah Redzuan et al. understand t
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Fauziah Redzuan et al. to explain t
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Fauziah Redzuan et al. Websites", P
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Changing Teacher Beliefs Through IC
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Bart Rienties et al. substantial di
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Bart Rienties et al. videoed for re
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5. Discussion Bart Rienties et al.
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Moodle and Affective Computing: Kno
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Manuel Rodrigues et al. Moodle does
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Manuel Rodrigues et al. Other sever
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Manuel Rodrigues et al. Doing this
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Using Google Applications to Facili
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Eleni Rossiou and Erasmia Papadopou
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Andrée Roy determines if eLearning
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Andrée Roy Table 3: Profiles of eL
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Andrée Roy the cost of production
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Andrée Roy Lawless, N., Allan, J.
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Zuzana Šaffková comment metacogni
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Zuzana Šaffková Moodle applicatio
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Zuzana Šaffková the other propert
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Zuzana Šaffková In the last phase
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Zuzana Šaffková prior knowledge,
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A Mobile aid Tool for Crafting Acti
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Ahmed Salem Question difficulty in
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Ahmed Salem Figure 2: The Simple le
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Ahmed Salem Table 1: The two groups
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King-Sized eLearning - how Effectiv
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Marie Sams et al. MOB was set up in
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Marie Sams et al. attaching the new
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Marie Sams et al. include time cons
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Rowena Santiago et al. However, whe
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Rowena Santiago et al. 6.1.2 Assign
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Rowena Santiago et al. the original
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Rowena Santiago et al. Together, th
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Vitor Santos and Luis Amaral To bui
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Vitor Santos and Luis Amaral Althou
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Figure 4: Technical architecture Vi
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Implementing and Evaluating Problem
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Maggi Savin-Baden et al. different
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Maggi Savin-Baden et al. and second
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Maggi Savin-Baden et al. important
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The Evolution of eLearning Platform
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Adriana Schiopoiu Burlea et al. Hyp
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Adriana Schiopoiu Burlea et al. Tab
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Adriana Schiopoiu Burlea et al. Eve
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Teachers’ Skills set for Personal
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Zaffar Ahmed Shaikh and Shakeel Ahm
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Zaffar Ahmed Shaikh and Shakeel Ahm
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6. Conclusion and recommendations Z
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Bridging the Feedback Divide Utilis
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Angela Shapiro and Aidan Johnston f
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Angela Shapiro and Aidan Johnston F
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Post-Academic Masters Course in Man
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4. Discussion and conclusion Cees T
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Engagement With Students in ‘Midd
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Anne Smith and Sonya Campbell x y c
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4.3 Student led connectivity Anne S
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Figure 2: Conceptualising ‘middle
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The Learning Management System as a
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Dina Soeiro et al. He was older, ol
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Dina Soeiro et al. specially about
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Can the Medium Extend the Message?
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Mekala Soosay elements under study,
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Mekala Soosay to self and peer-asse
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Mekala Soosay flexible web-based ap
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Implementation and Analysis of an O
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Iain Stewart et al. No-one was con
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Iain Stewart et al. The content sh
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Iain Stewart et al. entry per stude
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Iain Stewart et al. Dolnicar, S, Sh
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2. The research Caroline Stockman a
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Caroline Stockman and Fred Truyen S
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Caroline Stockman and Fred Truyen n
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Caroline Stockman and Fred Truyen s
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PeerWise - The Marmite of Veterinar
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Amanda Sykes et al. recently outlin
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Amanda Sykes et al. activity became
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Amanda Sykes et al. students either
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Category Amanda Sykes et al. Q9 : W
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Amanda Sykes et al. Chang, S-B., Hu
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Nicolet Theunissen and Hester Stubb
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Figure 1: Overall structure Nicolet
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References Nicolet Theunissen and H
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Tone Vold This idea phase was under
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Tone Vold process. A synchronous di
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The Effects of Self-Directed Learni
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Chien-hwa Wang and Cheng-ping Chen
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Page 372 and 373: Usage Cases: A Useful way to Improv
Page 374 and 375: Cristina Wanzeller and Orlando Belo
Page 380 and 381: The Virtual Path to Academic Transi
Page 382 and 383: Julie Watson course overall, with s
Page 384 and 385: Julie Watson practical and economic
Page 386 and 387: 6. First phase Julie Watson Followi
Page 388 and 389: Identifying and Locating Frames of
Page 390 and 391: Ethical approval Katherine Wimpenny
Page 392 and 393: Katherine Wimpenny et al. SL was a
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Page 398 and 399: Koos Winnips et al. order to make a
Page 400 and 401: Table 2: Overview of student reacti
Page 402 and 403: Koos Winnips et al. Students liked
Page 404 and 405: A Holistic Approach to Instructiona
Page 406 and 407: Li Zhong Zhang There is a wealth of
Page 408 and 409: Figure 1: An integrated design fram
Page 410 and 411: 6.1 Design implications Li Zhong Zh
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Page 436 and 437: Michael Flavin In a subsequent work
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Page 446 and 447: 4. Possible scenarios 4.1 Computer
Page 448 and 449: Fortunate Gunzo and Lorenzo Dalvit
Page 450 and 451: Collaborative eLearning in a Develo
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6. Results and analysis Fabio Seren
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Fabio Serenelli et al. Mangiatordi,
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1.2 VLE (Virtual Learning Environme
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Nazime Tuncay and Hüseyin Uzunboyl
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Figure 4 Response Screen Nazime Tun
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Figure 12 An Example of Recorded Vi
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Figure 15 VirtualNeu General Menus
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Liz Falconer and Manuel Frutos-Pere
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Liz Falconer and Manuel Frutos-Pere
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Extreme Scaffolding in the Teaching
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Dan-Adrian German first exposure to
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Benefits and Barriers: Applying eLe
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Simon McGinnes view on demand. OSD
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986
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988
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Olivia Billingham 2010); gains in c
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Olivia Billingham Deneen, L., (2010
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Karin Levinsen et al. conference or
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Karin Levinsen et al. in order to s
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Peps Mccrea professional engagement
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A Framework for Understanding Onlin
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Sónia Sousa et al. little sense re
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Sónia Sousa et al. Figure 4: The e
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Trust in Distributed Personal Learn
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2.2 LePress Sónia Sousa et al. Per
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Sónia Sousa et al. 3. Elicitation
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Breaking Down Barriers: Development
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Karen Strickland et al. qualitative
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Novita Yulianti et al. Research con
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