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Titlebook: Learning Technology for Education Challenges; 9th International Wo Lorna Uden,Dario Liberona Conference proceedings 2021 Springer Nature Sw

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發(fā)表于 2025-3-28 15:33:57 | 只看該作者
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發(fā)表于 2025-3-28 22:29:00 | 只看該作者
Avoiding the Risks of Overgamification in Education – A Case of ERPSimusiness simulation game among students, we decided to expand the scope of gamification in the course of ERP (Enterprise Resource Planning) Systems. In addition to the already used simulation game at the beginning of the course, we also introduced additional ERPSim games implemented as workshops with
43#
發(fā)表于 2025-3-29 02:16:12 | 只看該作者
Serious Games Usage in Higher Education, Experiences and Guidelinesf this technologies are Serious Games, however the process of designing and incorporating this technologies is not easy and there are very few available tools, this paper focus is to give some guidelines from real experiences and its results in order to improve the incorporation of this new tools..W
44#
發(fā)表于 2025-3-29 03:19:20 | 只看該作者
Internal Consistency and Discriminant Validity of the TECO in the Bachelor’s Degree Course in Physioachelor’s degree in Physiotherapy in Italy. The sample was recruited between October and December 2017. To be included in the study, the participants had to be enrolled in the bachelor’s degree course of physiotherapy at the “Sapienza” University of Rome and had not to be outside the prescribed time
45#
發(fā)表于 2025-3-29 11:05:10 | 只看該作者
The Responsiveness and Minimal Detective Change of the Disciplinary TECO in Nursing Students of Sapis. The secondary objective is to evaluate the minimal detective change with TECO-D. The cohort examined in 2017 was divided into three sub-populations: students enrolled in 2017 (I year of course); students enrolled in 2016 (II-year course), students enrolled in 2015 (III year course). In 2018, at t
46#
發(fā)表于 2025-3-29 14:43:47 | 只看該作者
Opinion Mining in the Airline Industry: Learning Social Sentiments and Insightsudy user behavior and in turn, enhance the user experience. This paper proposes an airline opinion mining system (AOMS) that mines and analyzes data from social media such as Twitter, Instagram and Facebook. AOMS is developed using Opinion Mining methodology with four modules, which are Problem Area
47#
發(fā)表于 2025-3-29 18:44:48 | 只看該作者
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發(fā)表于 2025-3-29 22:36:05 | 只看該作者
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發(fā)表于 2025-3-30 01:04:03 | 只看該作者
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發(fā)表于 2025-3-30 04:23:22 | 只看該作者
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