Zobrazeno 1 - 10
of 15 489
pro vyhledávání: '"learning Analytics"'
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 21, Iss 1, Pp 1-26 (2024)
Abstract Educational innovations, particularly those in online education and technology-enhanced learning, some accelerated by the recent pandemic, take centre stage in this journal. Examples include the resurgence of the flipped classroom methodolog
Externí odkaz:
https://doaj.org/article/26e781b386454bbd8c41bb8703a5f11d
Publikováno v:
Uses of Artificial Intelligence in STEM Education, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198882077.003.0024
Autor:
Mudkanna Gavhane, Jyoti, Pagare, Reena
Publikováno v:
Education + Training, 2024, Vol. 66, Issue 6, pp. 609-645.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ET-04-2023-0117
Publikováno v:
Smart Learning Environments, Vol 11, Iss 1, Pp 1-25 (2024)
Abstract The availability of large-scale learning data presents unprecedented opportunities for investigating student learning processes. However, it is challenging for instructors to fully make sense of this data and effectively support their teachi
Externí odkaz:
https://doaj.org/article/98d11736670947cf98d3c017d918fb88
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Learning analytics (LA) is a tool for gathering, analysing, and interpreting data related to student’s learning behaviour, engagement, and performance. As the student data collected by the institutions are used to construct LA,
Externí odkaz:
https://doaj.org/article/f874d0bf18ef430f99dc407e8d05ea97
Publikováno v:
Journal of Work-Applied Management, 2024, Vol. 16, Issue 2, pp. 303-315.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JWAM-11-2023-0121
Publikováno v:
Journal of Research in Education Sciences, Vol 69, Iss 3, Pp 173-196 (2024)
對大班統計實習課程而言，觀察學習者行為非常重要，也具有高度挑戰性。為了更全面地瞭解課堂動態，本研究在大學基礎統計學實習課程中，建置採用線上課程平臺來記錄學習者觀看與註
Externí odkaz:
https://doaj.org/article/10b8b6e9366c4889a4fa613e6b575e03
Autor:
Sami Heikkinen, Tudor Cristea, Mohammed Saqr, Jonna Malmberg, Ad Kleingeld, Chris Snijders, Uwe Matzat, Matti Tedre
Publikováno v:
Smart Learning Environments, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract This study investigates the relationship between students' self-efficacy beliefs, goal-setting, and learning tactics in an online business course. Using sequence analysis and process mining techniques, we analyzed log data from 209 students
Externí odkaz:
https://doaj.org/article/f82ce2c50d394307812ab4af56373ae5
Publikováno v:
Journal of Work-Applied Management, Vol 16, Iss 2, Pp 303-315 (2024)
Purpose – Large class sizes are becoming the norm in higher education against concerns of dropping learning qualities. To maintain the standard of learning and add value, one of the common strategies is for the course convenor to proactively monito
Externí odkaz:
https://doaj.org/article/ce271e8e804b42fe9260c48aa2fc8b2a
Publikováno v:
Educational Technology & Society, Vol 27, Iss 3, Pp 134-146 (2024)
This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits base
Externí odkaz:
https://doaj.org/article/5c9384553f8149058e91517e1f42f39c