Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Dragan Gaševic"'
Autor:
Emma Whitelock-Wainwright, Jia Wei Koh, Alexander Whitelock-Wainwright, Stella Talic, David Rankin, Dragan Gašević
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-23 (2022)
Abstract Providing electronic health data to medical practitioners to reflect on their performance can lead to improved clinical performance and quality of care. Understanding the sensemaking process that is enacted when practitioners are presented w
Externí odkaz:
https://doaj.org/article/d4f6c44219144f8b975203a8e52fca48
Autor:
Tongguang Li, Yizhou Fan, Yuanru Tan, Yeyu Wang, Shaveen Singh, Xinyu Li, Mladen Raković, Joep van der Graaf, Lyn Lim, Binrui Yang, Inge Molenaar, Maria Bannert, Johanna Moore, Zachari Swiecki, Yi-Shan Tsai, David Williamson Shaffer, Dragan Gašević
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Self-regulated learning (SRL) is the ability to regulate cognitive, metacognitive, motivational, and emotional states while learning and is posited to be a strong predictor of academic success. It is therefore important to provide learners with effec
Externí odkaz:
https://doaj.org/article/829cf7669d3d427ab174991fec4491a2
Autor:
Iva Bojic, Maleyka Mammadova, Chin-Siang Ang, Wei Lung Teo, Cristina Diordieva, Anita Pienkowska, Dragan Gašević, Josip Car
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e41671 (2023)
BackgroundDigital education has expanded since the COVID-19 pandemic began. A substantial amount of recent data on how students learn has become available for learning analytics (LA). LA denotes the “measurement, collection, analysis, and reporting
Externí odkaz:
https://doaj.org/article/42c1977b711543f28c028436f40c4b48
Autor:
Yuheng Li, Mladen Raković, Wei Dai, Jionghao Lin, Hassan Khosravi, Kirsten Galbraith, Kayley Lyons, Dragan Gašević, Guanliang Chen
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 5, Iss , Pp 100157- (2023)
Reflection and goal-setting are interrelated processes in well-established educational theories to promote in-depth self-reflection and self-regulated learning. Prior studies have considered reflection to be an important antecedent for meaningful goa
Externí odkaz:
https://doaj.org/article/b7d66248b9f7454fa94d5b1b64c50016
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 4, Iss , Pp 100130- (2023)
Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of re
Externí odkaz:
https://doaj.org/article/c34f7e321ab94babac774230ddf0771f
Autor:
Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Raković, Kirsten Galbraith, Kayley Lyons, Dragan Gašević, Guanliang Chen
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 4, Iss , Pp 100140- (2023)
Generative Large Language Models (LLMs) demonstrate impressive results in different writing tasks and have already attracted much attention from researchers and practitioners. However, there is limited research to investigate the capability of genera
Externí odkaz:
https://doaj.org/article/27c7094bf98b4d5eaa55f03c7a16f81c
Autor:
Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martinez-Maldonado, Shazia Sadiq, Dragan Gašević
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 3, Iss , Pp 100074- (2022)
There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI syste
Externí odkaz:
https://doaj.org/article/4ba11a9772cc47ce837c3a774b10be0c
Autor:
Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martinez-Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gašević
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 3, Iss , Pp 100075- (2022)
In this paper, we argue that a particular set of issues mars traditional assessment practices. They may be difficult for educators to design and implement; only provide discrete snapshots of performance rather than nuanced views of learning; be unada
Externí odkaz:
https://doaj.org/article/679e8edf4af642b3a901af6853e588ad
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 12, p e27984 (2021)
BackgroundThere is an increasing amount of electronic data sitting within the health system. These data have untapped potential to improve clinical practice if extracted efficiently and harnessed to change the behavior of health professionals. Furthe
Externí odkaz:
https://doaj.org/article/10d83b45914445e89497d6f6e5f16eba
Autor:
Erverson B. G. de Sousa, Bruno Alexandre, Rafael Ferreira Mello, Taciana Pontual Falcão, Boban Vesin, Dragan Gašević
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Learning analytics aims to analyze data from students and learning environments to support learning at different levels. Although learning analytics is a recent field, it reached a high level of maturity, especially in its applications for higher edu
Externí odkaz:
https://doaj.org/article/ab87aedc511341d2beec1e41d2ca4704