MEGASKILLS [MEthodology of Psycho-pedagogical, Big Data and Commercial Video GAmes procedures for the European SKILLS Agenda Implementation]
MEGASKILLS [MEthodology of Psycho-pedagogical, Big Data and Commercial Video GAmes procedures for the European SKILLS Agenda Implementation]
批准号:
10069843
负责人:
金额:
$26.18万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
根据软技能在欧洲技能议程中的重要性(文件中的横向技能),欧盟通过采用EntreComp、LifeComp和ESCO分类等能力和技能定义模型来解决这一差距。然而,软技能与教育和劳动力市场之间至少仍存在两个重要差距:高度原子化和缺乏严格和负担得起的培训和评估方法。MEGASKILLS是一个项目,其主要目标是通过研究和设计一种创新的、负担得起的软技能培训和评估方法,帮助弥合教育和劳动力市场之间的差距,通过三项主要研究任务,找出如何:1)根据行业和教育的明显需求,达成软技能分类和标准化的共识协定;2)通过使用玩家与其最喜欢的视频游戏互动的大量数据(考虑到视频游戏在欧洲劳动年龄公民中的渗透率非常高)以及使用人工智能和机器学习算法来培训和评估技术;3)实施方法和教育设计,在欧洲一级为新的教育-劳动范式建立负担得起的战略。多亏了这一方法,MEGASKILLS将打算对欧洲技能议程中的至少六项不同行动做出回应。要解决教育、关键生产部门及其技能需求之间的差距,同时遵守欧洲技能议程的几个要点,唯一的方法是从一个像MEGASKILLS一样具有严格科学性、多学科和颠覆性的角度。对于MEGASKILLS财团来说,这种颠覆性的方法必须来自既负担得起又足够大规模的技术和方法,以便对劳工和教育部门产生显著和可持续的社会和经济影响。
英文摘要
According to the importance of soft skills in the European Skills Agenda (transversal skills in the document) the EU has tackled this gap by working with competency and skills definition models such as EntreComp, LifeComp and ESCO classification. However, there are still at least two important gaps between soft skills and both the education and the labour market: High atomization and the absence of rigorous and affordable training and assessment methods. MEGASKILLS is a project whose main objective is to help bridge these gaps between education and the labour market through the research and design of an innovative and affordable methodology for training and evaluating soft skills through 3 main research tasks to figure out how to: 1) reach a consensus pact for soft skills taxonomy and normalization based on the manifest needs of industry and education; 2) training and evaluation techniques through the use of the massive amount of data from the interactions of players with their favourite video games (considering the very high penetration of video games among working-age citizens in Europe) and the use of AI and machine learning algorithms and 3) implement methodologies and educational designs that will build an affordable strategy for the new educational-labour paradigm at a European level. Thanks to this approach MEGASKILLS will intend to respond to at least six different Actions within the European Skills Agenda. The only way to address the gap between education, key productive sectors and their skills in demand and at the same time to comply with several of the points of the European Skills Agenda is from a perspective that is all rigorously scientific, multidisciplinary and disruptive as MEGASKILLS is. For the MEGASKILLS consortium, this disruptive approach must come from techniques and methodologies that can be both affordable and massive enough so that the impact on the labour and educational sectors is remarkable and sustainable both socially and economical.
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