TY - JOUR A1 - Wulff, Peter A1 - Buschhüter, David A1 - Westphal, Andrea A1 - Nowak, Anna A1 - Becker, Lisa A1 - Robalino, Hugo A1 - Stede, Manfred A1 - Borowski, Andreas T1 - Computer-based classification of preservice physics teachers’ written reflections JF - Journal of science education and technology N2 - 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. KW - reflection KW - teacher professional development KW - hatural language KW - processing KW - machine learning Y1 - 2020 U6 - https://doi.org/10.1007/s10956-020-09865-1 SN - 1059-0145 SN - 1573-1839 VL - 30 IS - 1 SP - 1 EP - 15 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Zhang, Yunming A1 - Ramming, Anna A1 - Heinke, Lisa A1 - Altschmied, Lothar A1 - Slotkin, R. Keith A1 - Becker, Jörg D. A1 - Kappel, Christian A1 - Lenhard, Michael T1 - The poly(A) polymerase PAPS1 interacts with the RNA-directed DNA-methylation pathway in sporophyte and pollen development JF - The plant journal N2 - RNA-based processes play key roles in the regulation of eukaryotic gene expression. This includes both the processing of pre-mRNAs into mature mRNAs ready for translation and RNA-based silencing processes, such as RNA-directed DNA methylation (RdDM). Polyadenylation of pre-mRNAs is one important step in their processing and is carried out by three functionally specialized canonical nuclear poly(A) polymerases in Arabidopsis thaliana. Null mutations in one of these, termed PAPS1, result in a male gametophytic defect. Using a fluorescence-labelling strategy, we have characterized this defect in more detail using RNA and small-RNA sequencing. In addition to global defects in the expression of pollen-differentiation genes, paps1 null-mutant pollen shows a strong overaccumulation of transposable element (TE) transcripts, yet a depletion of 21- and particularly 24-nucleotide-long short interfering RNAs (siRNAs) and microRNAs (miRNAs) targeting the corresponding TEs. Double-mutant analyses support a specific functional interaction between PAPS1 and components of the RdDM pathway, as evident from strong synergistic phenotypes in mutant combinations involving paps1, but not paps2 paps4, mutations. In particular, the double-mutant of paps1 and rna-dependent rna polymerase 6 (rdr6) shows a synergistic developmental phenotype disrupting the formation of the transmitting tract in the female gynoecium. Thus, our findings in A. thaliana uncover a potentially general link between canonical poly(A) polymerases as components of mRNA processing and RdDM, reflecting an analogous interaction in fission yeast. KW - poly(A) polymerase KW - RNA-directed DNA methylation KW - pollen development KW - siRNAs KW - transposable elements KW - gynoecium development KW - Arabidopsis thaliana Y1 - 2019 U6 - https://doi.org/10.1111/tpj.14348 SN - 0960-7412 SN - 1365-313X VL - 99 IS - 4 SP - 655 EP - 672 PB - Wiley CY - Hoboken ER -