The Experts below are selected from a list of 192 Experts worldwide ranked by ideXlab platform
Kui Xie - One of the best experts on this subject based on the ideXlab platform.
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Toward deep learning for adult Students in online courses
The Internet and Higher Education, 2009Co-Authors: Fengfeng Ke, Kui XieAbstract:Adult Students have become the new majority in online distance education. Research in online distance education, however, is still predominantly based on the historical perspective of the traditional Student Profile. This study examines adult Students' learning engagement in online courses and explores the impact of online course design models and the type of online discussion on adult Students' self-perceived and observable learning performance. The study findings inform that age itself does not predict adult Students' learning satisfaction and performance. Instead, an integrated course model promotes learning satisfaction, while a Content+Support course model reinforces knowledge–constructive online interactions. The study findings also indicate disadvantages of close-ended discussion tasks in supporting Students' online learning success.
Albert Sanchez - One of the best experts on this subject based on the ideXlab platform.
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relationship between Student Profile tool use participation and academic performance with the use of augmented reality technology for visualized architecture models
Computers in Human Behavior, 2014Co-Authors: David Fonseca, Nuria Marti, Ernesto Redondo, Isidro Navarro, Albert SanchezAbstract:In this study, we describe the implementation and evaluation of an experiment with Augmented Reality (AR) technology in the visualization of 3D models and the presentation of architectural projects by Students of architecture and building engineering. The proposal is based on the premise that the technology used in AR, such as mobile devices, is familiar to the Student. When used in a collaborative manner, the technology is able to achieve a greater level of direct engagement with the proposed content, thereby improving academic outcomes. The objective was to assess the feasibility of using AR on mobile devices in educational environments and to investigate the relationship between the usability of the tool, Student participation, and the improvement in academic performance after using AR. The validation was performed through a case study in which Students were able to experience a virtual construction process overlapped onto real environments. Results were obtained by Students' pre-tests and post-tests. In line with our assumptions, the use of mobile devices in the classroom is highly correlated with motivation, and there is a significant correlation with academic achievement. However, the difficulty of using and generating content is a complex factor that suggests difficulty when implementing more complicated models.
Nanopoulos P. - One of the best experts on this subject based on the ideXlab platform.
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Supporting and Consulting Infrastructure for Educators during Distance Learning Process: The Case of Russian Verbs of Motion
Springer Verlag, 2020Co-Authors: Kalita O., Gartsov A., Pavlidis G., Nanopoulos P.Abstract:This paper presents a supporting and consulting infrastructure (methods and tools) assisting educators during the distance learning process. The main focus is on the information sketching a Student Profile. Having identified all possible behaviors, the proposed infrastructure allows the development of probabilistic distribution models of the emerging educational events. The determination of probabilities is estimated by applying data mining techniques and then using the method of maximum entropy. As an example, the process of learning the semantic structure of motion verbs in Russian and Greek language is taken. Emphasis is given to those cases where verbs structures match entirely, partially overlap, as well as those whose semantic sizes are specific, characterize either the Russian, or solely the Greek language
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Supporting and consulting infrastructure for educators during distance learning process: The case of russian verbs of motion
'Springer Science and Business Media LLC', 2020Co-Authors: Kalita O., Gartsov A., Pavlidis G., Nanopoulos P.Abstract:This paper presents a supporting and consulting infrastructure (methods and tools) assisting educators during the distance learning process. The main focus is on the information sketching a Student Profile. Having identified all possible behaviors, the proposed infrastructure allows the development of probabilistic distribution models of the emerging educational events. The determination of probabilities is estimated by applying data mining techniques and then using the method of maximum entropy. As an example, the process of learning the semantic structure of motion verbs in Russian and Greek language is taken. Emphasis is given to those cases where verbs structures match entirely, partially overlap, as well as those whose semantic sizes are specific, characterize either the Russian, or solely the Greek language. © Springer-Verlag Berlin Heidelberg 2013
Gary Grudnitski - One of the best experts on this subject based on the ideXlab platform.
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a forecast of achievement from Student Profile data
Journal of Accounting Education, 1997Co-Authors: Gary GrudnitskiAbstract:Abstract A compelling case has been made by accounting leaders for the increased use of groups to enhance learning in the classroom. If an instructor wants to form groups based on achievement or skill levels at the beginning of an accounting course, the purpose of this paper is to show that achievement levels can be forecast from Profile data obtained from Students on the first day of class. Specifically, results of this study indicate that the intent of a Student to major in accounting and the grade he or she made in Introductory Financial Accounting provide an accurate forecast of the achievement of that Student in Introductory Managerial Accounting. Additionally, the study's findings suggest there is some basis for a template that can be applied to forecast achievement levels of Students in other accounting courses.
Fengfeng Ke - One of the best experts on this subject based on the ideXlab platform.
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Toward deep learning for adult Students in online courses
The Internet and Higher Education, 2009Co-Authors: Fengfeng Ke, Kui XieAbstract:Adult Students have become the new majority in online distance education. Research in online distance education, however, is still predominantly based on the historical perspective of the traditional Student Profile. This study examines adult Students' learning engagement in online courses and explores the impact of online course design models and the type of online discussion on adult Students' self-perceived and observable learning performance. The study findings inform that age itself does not predict adult Students' learning satisfaction and performance. Instead, an integrated course model promotes learning satisfaction, while a Content+Support course model reinforces knowledge–constructive online interactions. The study findings also indicate disadvantages of close-ended discussion tasks in supporting Students' online learning success.
