| 1. |
- Gellerstedt, Martin, 1966-
(författare)
-
The Digitalization of Health Care Paves the Way for Improved Quality of Life?
- 2016
-
Ingår i: Journal of Systemics, Cybernetics and Informatics. - : International Institute of Informatics and Cybernetics. - 1690-4532 .- 1690-4524. ; 14:5, s. 1-10
-
Tidskriftsartikel (refereegranskat)abstract
- The digitalization of health care is really a game changer for developing health care. This article gives an, overview, discuss opportunities and reflects on methodological issues in this new era. Important issues discussed include: Could digitalization offer the right chemistry between evidence based medicine and individualization of health care. Does Big Data imply long tail health care? How could patients be co-creators of health care? And, methodological pros and cons with different sources of "evidence".
|
|
| 2. |
- Gellerstedt, Martin, 1966-, et al.
(författare)
-
Work Integrated Learning : a Marriage Between Academia and Working Life
- 2015
-
Ingår i: Journal of Systemics, Cybernetics and Informatics. - : International Institute of Informatics and Cybernetics. - 1690-4532 .- 1690-4524. ; 13:6, s. 38-46
-
Tidskriftsartikel (refereegranskat)abstract
- There is a demand for increased cooperation between higher education institutes and surrounding society, and different frameworks for such cooperation have been developed. University West in Sweden has a profile calledwork-integrated learning which could be regarded as a systematical approach for combining theory and practice.Actually work-integrated learning has become an ideologyfor the University which permeates all activities, i.e. education, research and cooperation with surrounding society. This article is a review, explaining and exemplifying our approach. We will also discuss strategies and challenges for bringing the relationship between theory and practice into a prospering marriage.
|
|
| 3. |
- Nouri, Jalal, et al.
(författare)
-
Predicting performance of students in a flipped classroom using machine learning : towards automated data-driven formative feedback
- 2019
-
Ingår i: Journal of Systemics, Cybernetics and Informatics. - 1690-4532 .- 1690-4524. ; 17:4, s. 17-21
-
Tidskriftsartikel (refereegranskat)abstract
- Learning analytics (LA) is a relatively new research discipline that uses data to try to improve learning, optimizing the learning process and develop the environment in which learning occurs. One of the objectives of LA is to monitor students activities and early predict performance to improve retention, offer personalized feedback and facilitate the provision of support to the students. Flipped classroom is one of the pedagogical methods that find strength in the combination of physical and digital environments i.e. blended learning environments. Flipped classroom often make use of learning management systems in which video-recorded lectures and digital material is made available, which thus generates data about students interactions with these materials. In this paper, we report on a study conducted with focus on a flipped learning course in research methodology. Based on data regarding how students interact with course material (video recorded lectures and reading material), how they interact with teachers and other peers in discussion forums, and how they perform on a digital assessment (digital quiz), we apply machine learning methods (i.e. Neural Networks, Nave Bayes, Random Forest, kNN, and Logistic regression) in order to predict students overall performance on the course. The final predictive model that we present in this paper could with fairly high accuracy predict low- and high achievers in the course based on activity and early assessment data. Using this approach, we are given opportunities to develop learning management systems that provide automatic datadriven formative feedback that can help students to selfregulate as well as inform teachers where and how to intervene and scaffold students.
|
|
