Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Solmaz Abdi"'
Autor:
Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gašević, Paul Denny, Hassan Khosravi
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100289- (2024)
Incorporating Generative Artificial Intelligence (GenAI), especially Large Language Models (LLMs), into educational settings presents valuable opportunities to boost the efficiency of educators and enrich the learning experiences of students. A signi
Externí odkaz:
https://doaj.org/article/7a7f6f88a5934e2aafbf0a741edbf4bc
Publikováno v:
Journal of Learning Analytics. 8:117-132
The value of students developing the capacity to accurately judge the quality of their work and that of others has been widely studied and recognized in higher education literature. To date, much of the research and commentary on evaluative judgment
Publikováno v:
Proceedings of the Ninth ACM Conference on Learning @ Scale.
Publikováno v:
Proceedings of the Ninth ACM Conference on Learning @ Scale.
Publikováno v:
IEEE Transactions on Learning Technologies. 14:81-92
Learnersourcing is emerging as a viable approach for mobilizing the learner community and harnessing the intelligence of learners as creators of learning resources. Previous works have demonstrated that the quality of resources developed by students
Publikováno v:
LAK
The Elo rating system has been recognised as an effective method for modelling students and items within adaptive educational systems. A common characteristic across Elo-based learner models is that they are not sensitive to the lag time between two
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
AIED (2)
In recent years, there has been an increasing trend in the use of student-centred approaches within educational systems that engage students in various higher-order learning activities such as creating resources, creating solutions, rating the qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0521649bdcf0024607b9bc6d17f29ec
https://doi.org/10.1007/978-3-030-78270-2_2
https://doi.org/10.1007/978-3-030-78270-2_2
Publikováno v:
LAK
Educational recommender systems (ERSs) aim to adaptively recommend a broad range of personalised resources and activities to students that will most meet their learning needs. Commonly, ERSs operate as a "black box" and give students no insight into