The Experts below are selected from a list of 162 Experts worldwide ranked by ideXlab platform

Monzer Alwan - One of the best experts on this subject based on the ideXlab platform.

  • integration of location based information into mobile Learning management system to verify scientific formulas in Informal Learning Environment
    International Journal of Intelligent Enterprise, 2017
    Co-Authors: Rashad Aouf, Ali Alawneh, Hassan Al Abboud, Monzer Alwan
    Abstract:

    Scientific formulas govern our life while moving from one location to another. Hence, this study investigates into the development of an adaptive mobile Learning model that extends traditional Learning systems that address content customisation issue, to include formulas verification feature with help of location-based information in Informal Learning Environment. The main contribution of this novel model is to provide the mobile learner with a virtual-teacher anytime-anywhere to verify or even solve course-related tasks, especially in scientific courses such as math or physics formulas. The virtual-teacher is addressed in this study in the form of intermediate object. This object is built by merging data from three different resources: mobile learner profile, formulas profile, and location-based information. As a result, mobile learner will receive the location-aware personalised outcomes in form of answers that correspond to the pre-defined tasks. The instructors can also benefit from this adaptive mode...

  • integration of location based information into mobile Learning management system to verify scientific formulas in Informal Learning Environment
    2016 International Conference on Engineering & MIS (ICEMIS), 2016
    Co-Authors: Rashad Aouf, Ali Alawneh, Hassan Al Abboud, Monzer Alwan
    Abstract:

    Scientific formulas govern our life while moving from one location to another. Furthermore, the recent advances in mobile devices, in particular smart phones, presents a significant opportunity of research concerning personalization of services in various industries including mobile Learning, also called M-Learning. Hence, this study investigates into the development of an adaptive mobile Learning model that extends the traditional Learning systems that address content customization issue, to include formulas verification feature with help of location-based information in Informal Learning Environment. The main contribution of this novel model is to provide mobile learner (i.e. student) with a virtual-teacher anytime-anywhere to verify or even solve course-related tasks, especially in scientific courses such as math or physics formulas. The virtual-teacher is addressed in this study in form of an intermediate object. This object is built by merging data from three different resources: mobile learner profile, formulas profile, and location-based information. As a result, mobile learner will receive the location-aware personalized outcomes in form of answers that correspond to the pre-defined tasks. In addition the results or the answers will be subject for further assessment by instructors. Their participation is highly recommended to engage mobile learner into an interactive Learning Environment. A major benefit of this study is depicted in offering learners who are continually mobile with an alternative approach of understanding courses-related tasks at their time convenience, rather than attending the traditional classroom based instructor led session. For example, a learner who is moving between three different locations, the intermediate object can describe a triangle shape, subsequently triangle-related formulas, that determine distances, can be verified. Pressure variation can also be demonstrated for a learner who is moving between coasts and mountains. As it can be observed from these examples, mobile learner has the opportunity to participate in a real application of a specific task. The instructors can also benefit from this study since it provides them with an adaptive model to demonstrate their lessons-related formulas, outside classrooms.

Rashad Aouf - One of the best experts on this subject based on the ideXlab platform.

  • integration of location based information into mobile Learning management system to verify scientific formulas in Informal Learning Environment
    International Journal of Intelligent Enterprise, 2017
    Co-Authors: Rashad Aouf, Ali Alawneh, Hassan Al Abboud, Monzer Alwan
    Abstract:

    Scientific formulas govern our life while moving from one location to another. Hence, this study investigates into the development of an adaptive mobile Learning model that extends traditional Learning systems that address content customisation issue, to include formulas verification feature with help of location-based information in Informal Learning Environment. The main contribution of this novel model is to provide the mobile learner with a virtual-teacher anytime-anywhere to verify or even solve course-related tasks, especially in scientific courses such as math or physics formulas. The virtual-teacher is addressed in this study in the form of intermediate object. This object is built by merging data from three different resources: mobile learner profile, formulas profile, and location-based information. As a result, mobile learner will receive the location-aware personalised outcomes in form of answers that correspond to the pre-defined tasks. The instructors can also benefit from this adaptive mode...

  • integration of location based information into mobile Learning management system to verify scientific formulas in Informal Learning Environment
    2016 International Conference on Engineering & MIS (ICEMIS), 2016
    Co-Authors: Rashad Aouf, Ali Alawneh, Hassan Al Abboud, Monzer Alwan
    Abstract:

    Scientific formulas govern our life while moving from one location to another. Furthermore, the recent advances in mobile devices, in particular smart phones, presents a significant opportunity of research concerning personalization of services in various industries including mobile Learning, also called M-Learning. Hence, this study investigates into the development of an adaptive mobile Learning model that extends the traditional Learning systems that address content customization issue, to include formulas verification feature with help of location-based information in Informal Learning Environment. The main contribution of this novel model is to provide mobile learner (i.e. student) with a virtual-teacher anytime-anywhere to verify or even solve course-related tasks, especially in scientific courses such as math or physics formulas. The virtual-teacher is addressed in this study in form of an intermediate object. This object is built by merging data from three different resources: mobile learner profile, formulas profile, and location-based information. As a result, mobile learner will receive the location-aware personalized outcomes in form of answers that correspond to the pre-defined tasks. In addition the results or the answers will be subject for further assessment by instructors. Their participation is highly recommended to engage mobile learner into an interactive Learning Environment. A major benefit of this study is depicted in offering learners who are continually mobile with an alternative approach of understanding courses-related tasks at their time convenience, rather than attending the traditional classroom based instructor led session. For example, a learner who is moving between three different locations, the intermediate object can describe a triangle shape, subsequently triangle-related formulas, that determine distances, can be verified. Pressure variation can also be demonstrated for a learner who is moving between coasts and mountains. As it can be observed from these examples, mobile learner has the opportunity to participate in a real application of a specific task. The instructors can also benefit from this study since it provides them with an adaptive model to demonstrate their lessons-related formulas, outside classrooms.

Tim Heath - One of the best experts on this subject based on the ideXlab platform.

  • spatial openness and student activities in an atrium a parametric evaluation of a social Informal Learning Environment
    Building and Environment, 2020
    Co-Authors: Philip Oldfield, Tim Heath
    Abstract:

    Abstract The use of atria for students' Informal Learning activities is becoming a common architectural design strategy in contemporary higher education buildings, especially in dense urban settings. However, while researchers have focused on the relationship between students’ perception, preferences and behaviours in social Learning spaces, the spatial attributes themselves tend to be neglected in the literature. By exploiting digital spatial analysis tools, this paper uses the parameters of ‘viewing volume’ and ‘viewing area’ to compare the spatial openness of different spaces within an atrium in a higher education institution. Timeframe capture and interviews are also employed to record the distribution of student activities. The spatial attributes of the atrium and the distribution of student activities are analysed to explore links between the two. The results indicate that the viewing volume in the two-storey-height space is the highest, while viewing area in the staircase space is the highest. These spaces tended to coincide with higher frequencies of ‘see and be seen’ activities, such as students waiting and looking around (71.54% and 56.32% respectively). The standard deviations of the mean viewing volume and viewing area are the greatest in the three-storey space, suggesting a diversity of spatial openness. This coincided with the highest frequency of activities that require social interactions, such as gathering and group study (92.40% and 58.10% respectively). These findings suggest that spatial openness can impact student activities in an educational setting, and an atrium specifically. These novel methods also open new horizons for interpreting spatial structure in architecture.

Leilah Lyons - One of the best experts on this subject based on the ideXlab platform.

  • designing for an Informal Learning Environment towards a participatory simulation design process for public policy planning
    International Conference of Learning Sciences, 2010
    Co-Authors: Chandan Dasgupta, Leilah Lyons, Moira Zellner, Andrew J Greenlee
    Abstract:

    Modern planning practices recruit stakeholders to add specialized expertise to the planning process, but this expertise often remains inert, leading to superficial and circular discussions. By encouraging stakeholders co-construct an external shared representation, more nuanced debates could emerge. This work reports on formative interviews that will inform the design of software that will allow stakeholders to articulate and share their knowledge, and to inspect the underlying assumptions of others and the outcomes of the system.

  • scaffolding cooperative multi device activities in an Informal Learning Environment
    Interaction Design and Children, 2007
    Co-Authors: Leilah Lyons
    Abstract:

    Informal Learning Environments (e.g. children's science museums) provide challenges for educational software design that are distinct from those found in traditional classrooms. Predominant among them is the need to support groups of users in heavily social Learning experiences. In prior work, we have found that providing mobile, wirelessly-linked devices to individual participants allows multiple simultaneous users to learn together with a shared simulation [17, 18, 15, 27]. To extend this design strategy to an Informal Environment like a museum, however, other Environmental differences (e.g. expected length of participation) must be taken into account. I propose the use of dynamic and individually-targeted software-based scaffolding to help groups of visitors to more productively experiment with a shared simulation. I utilize a design experiment approach to focus on the design and evaluation of these distributed scaffolds that enable Informal learners to cooperatively participate in a joint simulation.

  • scaffolding cooperative multi device activities in an Informal Learning Environment
    Human Factors in Computing Systems, 2007
    Co-Authors: Leilah Lyons
    Abstract:

    Informal Learning Environments, e.g. children's science museums, provide special challenges for educational software design: the software must (1) be immediately accessible, (2) convey educational content within short episodes of use, and (3) should allow multiple users to participate at the same time. While mobile technology allows for multiple simultaneous users, significant scaffolding is required to allow groups to walk up and productively use it. Using a design experiment approach, my research focuses on the design and evaluation of distributed scaffolds that enable Informal learners to use mobile technology effectively.

Ali Alawneh - One of the best experts on this subject based on the ideXlab platform.

  • integration of location based information into mobile Learning management system to verify scientific formulas in Informal Learning Environment
    International Journal of Intelligent Enterprise, 2017
    Co-Authors: Rashad Aouf, Ali Alawneh, Hassan Al Abboud, Monzer Alwan
    Abstract:

    Scientific formulas govern our life while moving from one location to another. Hence, this study investigates into the development of an adaptive mobile Learning model that extends traditional Learning systems that address content customisation issue, to include formulas verification feature with help of location-based information in Informal Learning Environment. The main contribution of this novel model is to provide the mobile learner with a virtual-teacher anytime-anywhere to verify or even solve course-related tasks, especially in scientific courses such as math or physics formulas. The virtual-teacher is addressed in this study in the form of intermediate object. This object is built by merging data from three different resources: mobile learner profile, formulas profile, and location-based information. As a result, mobile learner will receive the location-aware personalised outcomes in form of answers that correspond to the pre-defined tasks. The instructors can also benefit from this adaptive mode...

  • integration of location based information into mobile Learning management system to verify scientific formulas in Informal Learning Environment
    2016 International Conference on Engineering & MIS (ICEMIS), 2016
    Co-Authors: Rashad Aouf, Ali Alawneh, Hassan Al Abboud, Monzer Alwan
    Abstract:

    Scientific formulas govern our life while moving from one location to another. Furthermore, the recent advances in mobile devices, in particular smart phones, presents a significant opportunity of research concerning personalization of services in various industries including mobile Learning, also called M-Learning. Hence, this study investigates into the development of an adaptive mobile Learning model that extends the traditional Learning systems that address content customization issue, to include formulas verification feature with help of location-based information in Informal Learning Environment. The main contribution of this novel model is to provide mobile learner (i.e. student) with a virtual-teacher anytime-anywhere to verify or even solve course-related tasks, especially in scientific courses such as math or physics formulas. The virtual-teacher is addressed in this study in form of an intermediate object. This object is built by merging data from three different resources: mobile learner profile, formulas profile, and location-based information. As a result, mobile learner will receive the location-aware personalized outcomes in form of answers that correspond to the pre-defined tasks. In addition the results or the answers will be subject for further assessment by instructors. Their participation is highly recommended to engage mobile learner into an interactive Learning Environment. A major benefit of this study is depicted in offering learners who are continually mobile with an alternative approach of understanding courses-related tasks at their time convenience, rather than attending the traditional classroom based instructor led session. For example, a learner who is moving between three different locations, the intermediate object can describe a triangle shape, subsequently triangle-related formulas, that determine distances, can be verified. Pressure variation can also be demonstrated for a learner who is moving between coasts and mountains. As it can be observed from these examples, mobile learner has the opportunity to participate in a real application of a specific task. The instructors can also benefit from this study since it provides them with an adaptive model to demonstrate their lessons-related formulas, outside classrooms.