EDEN NAP webinar Wednesday, 26 February 2020, 15:30 CET
Artificial Intelligence (AI) has become more relevant in the last years in the education and training landscape. AI may be characterized as started with machine learning (ML) as a path to humanlike intelligence. ML can treat an ocean of data with data mining techniques, data analytics and other similar approaches. And forms of AI have been developed, based on ML, with algorithms for vision, speech recognition, reasoning, navigation, etc.. Most of these approaches have been used in education and training. The reasoning and decision making associated with AI are the main advances that can help understanding the effectiveness of teaching and of training. Assessment of learning is fundamental to improve teaching and training. Learning is a personal and individual action and AI, as an outsider and independent procedure, may help the assessment of acquisition of learning. The webinar addresses some experiences and projects that may bring some food for thought as possibilities for research. The topics to address are:
- Time to assess learning outcomes in e-learning: aligning assessment methods with the diverse set of learning outcomes project, University of Porto, Portugal.
- Artificial Intelligence and Assessment: In AI assessment, a software system infers problem-specific rules for automated scoring from examples of instructor grading of student assignments, Teaching Commons, University of Stanford, USA.
- Key messages on AI in Education, Working Group on Learning, Teaching and Assessment, European Commission.
- Chinese school using facial recognition to analyze students’ emotions: Techspot report on how identifying emotions from students with AI may improve learning. See more here
