Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Aayesha Zia"'
Autor:
Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Formative feedback has long been recognised as an effective tool for student learning, and researchers have investigated the subject for decades. However, the actual implementation of formative feedback practices is associated with significant challe
Externí odkaz:
https://doaj.org/article/4df5d3a547954061aca9e00fc533c283
Publikováno v:
Technology, Knowledge and Learning.
Self-regulated learning is an essential skill that can help students plan, monitor, and reflect on their learning in order to achieve their learning goals. However, in situations where there is a lack of effective feedback and recommendations, it bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e4b08e5d4557da3f32b034ab1cb7e4f
https://doi.org/10.1007/s10758-023-09650-0
https://doi.org/10.1007/s10758-023-09650-0
Autor:
Muhammad Afzaal, Uno Fors, Yongchao Wu, Rebecka Weegar, Panagiotis Papapetrou, Jalal Nouri, Xiu Li, Aayesha Zia
Publikováno v:
ICALT
In this paper, we propose a counterfactual explanations-based approach to provide an automatic and intelligent recommendation that supports student’s self-regulation of learning in a data-driven manner, aiming to improve their performance in course
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f578649722a376dcedeff54027ab3ee
https://doi.org/10.1109/icalt52272.2021.00107
https://doi.org/10.1109/icalt52272.2021.00107
Publikováno v:
ICALT
The advancements in learning analytics and artificial intelligence have shown potential to transform traditional modalities of education. One such advancement relates to the use of educational data to track students’ knowledge state [1] . In the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb04b598a8974253e2a472505d99de40
https://doi.org/10.1109/icalt52272.2021.00019
https://doi.org/10.1109/icalt52272.2021.00019
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
AIED (2)
Today, collaborative learning has become quite central as a method for learning, and over the past decades, a large number of studies have demonstrated the benefits from various theoretical and methodological perspectives. This study proposes a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20fa3b8dcba1e79ecc6d438e80ee1719
https://doi.org/10.1007/978-3-030-78270-2_70
https://doi.org/10.1007/978-3-030-78270-2_70
Publikováno v:
Technology-Enhanced Learning for a Free, Safe, and Sustainable World ISBN: 9783030864354
EC-TEL
EC-TEL
Collaborative learning has grown more popular as a form of instruction in recent decades, with a significant number of studies demonstrating its benefits from many perspectives of theory and methodology. However, it has also been demonstrated that ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90eb49920b3d575224281728cf395d41
https://doi.org/10.1007/978-3-030-86436-1_2
https://doi.org/10.1007/978-3-030-86436-1_2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
AIED (2)
Knowledge tracing—where a machine models the students’ knowledge as they interact with coursework—is a well-established area in the field of Artificial Intelligence in Education. In this paper, an ensemble approach is proposed that addresses ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::268c30ef013426beb20e41cd5eef1b01
https://doi.org/10.1007/978-3-030-78270-2_77
https://doi.org/10.1007/978-3-030-78270-2_77
Autor:
Panagiotis Papapetrou, Jalal Nouri, Uno Fors, Rebecka Weegar, Aayesha Zia, Muhammad Afzaal, Yongchao Wu, Xiu Li
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
AIED (2)
This paper proposes a novel approach that employs learning analytics techniques combined with explainable machine learning to provide automatic and intelligent actionable feedback that supports students self-regulation of learning in a data-driven ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87feef2ebfed3a5f5c25e89ab1c470fa
https://doi.org/10.1007/978-3-030-78270-2_6
https://doi.org/10.1007/978-3-030-78270-2_6
Publikováno v:
Technology, Knowledge & Learning; Mar2024, Vol. 29 Issue 1, p331-354, 24p
Chapters'Investigating the Role of Educational Robotics in Formal Mathematics Education: The Case of Geometry for 15-Year-Old Students'and'From Paper to Online: Digitizing Card Based Co-creation of Games for Privacy Education'are available open acces