Refine
Has Fulltext
- no (2) (remove)
Year of publication
- 2020 (2) (remove)
Document Type
- Article (2)
Language
- English (2)
Is part of the Bibliography
- yes (2)
Keywords
- reflection (2) (remove)
Institute
Reflecting in written form on one's teaching enactments has been considered a facilitator for teachers' professional growth in university-based preservice teacher education. Writing a structured reflection can be facilitated through external feedback. However, researchers noted that feedback in preservice teacher education often relies on holistic, rather than more content-based, analytic feedback because educators oftentimes lack resources (e.g., time) to provide more analytic feedback. To overcome this impediment to feedback for written reflection, advances in computer technology can be of use. Hence, this study sought to utilize techniques of natural language processing and machine learning to train a computer-based classifier that classifies preservice physics teachers' written reflections on their teaching enactments in a German university teacher education program. To do so, a reflection model was adapted to physics education. It was then tested to what extent the computer-based classifier could accurately classify the elements of the reflection model in segments of preservice physics teachers' written reflections. Multinomial logistic regression using word count as a predictor was found to yield acceptable average human-computer agreement (F1-score on held-out test dataset of 0.56) so that it might fuel further development towards an automated feedback tool that supplements existing holistic feedback for written reflections with data-based, analytic feedback.
Competences in context
(2020)
Mobile applications are suitable as a structural possibility for students beginning their studies. Using the appReflect.UP,students are encouraged to reflect on the organization, contents, and objectives of their studies. This article focuses on how students can acquire the academic ability to consider their own actions, which is an intrinsic component of academic professionalization. The work examines how a competency framework is derived through study regulations and module descriptions, and how subsequent questions for students' reflection are systematically created using this framework. Next, the hybrid mobile applicationReflect.UPand its underlying software components are introduced, stimulating students' reflections on study content and objectives. The data gathered through the practical use ofReflect.UPis evaluated, and then the ensuing conclusions drawn from students' problems and learning processes for organizing the course of studies are explored. In addition, this paper reflects on the strengths and weaknesses of a mobile application as a sociological and technological compound for structural support of the introductory phase of education.