Essays about: "feedback types"

Showing result 6 - 10 of 166 essays containing the words feedback types.

  1. 6. PAMPaR: Parallel Analysis of miRNAs, Proteins and RNAs. Dynamic Profiles of miRNAs, mRNAs and Specific Proteins in Mouse Embryonic Stem Cells Differentiating into Neural Precursors

    University essay from KTH/Proteinvetenskap

    Author : Amelie Carlström; [2023]
    Keywords : PAMPaR; SPARC; Proximity extension assay; Neuronal differentiation; Mouse embryonic stem cells; PAMPaR; SPARC; Proximity extension assay; Neuronal differentiering; embryonala musstamceller;

    Abstract : MikroRNA-molekyler (miRNA) är viktiga icke-kodande RNA-molekyler för post-transkriptionell reglering av proteinkodande gener. De har även effekter på många cellulära processer såsom differentiering. De biosyntetiska reaktioner som skapar miRNA involverar proteiner som själva regleras av miRNA. READ MORE

  3. 7. What feedback is perceived as useful? : The perceptions of Written Corrective Feedback among Swedish ESL teachers and students in Upper Secondary School

    University essay from Stockholms universitet/Engelska institutionen

    Author : Natael Håård; [2023]
    Keywords : ;

    Abstract : Corrective feedback (CF) has received plenty of attention in the last decades. Researchers and linguists alike have debated the effectiveness of written corrective feedback (WCF) and it is an area of relevance for the ESL classroom. One aspect of WCF is teachers’ and students’ attitudes towards it. READ MORE

  4. 8. Aligning the Innovation Process Routines With Organizational Agility : A Case Study of a Healthcare Firm

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Constantin Catalin Ciorascu; Mohammad Alipanahi; [2023]
    Keywords : Organizational Agility; Innovation Process Routines; Types of Innovations; Healthcare; Medical Device;

    Abstract : Introduction: Traditional organizational routines for the innovation process, like the Stage-Gate Model, are often characterized by rigid and inflexible activities, limiting firms' ability to identify, develop, and commercialize software and digital/connected products and services. Examples of inflexible activities include predefined project milestones, linear progression through development stages, and a lack of iterative feedback loops. READ MORE

  5. 9. A thematic analysis of Swedish upper secondary EFL teachers’ cognitions about and reflections on written feedback

    University essay from Högskolan Dalarna/Institutionen för språk, litteratur och lärande

    Author : Johan Jönsson Ahlbin; [2023]
    Keywords : Teacher cognition; written feedback; English as a foreign language; English language teaching; Swedish upper secondary school;

    Abstract : To gain a deeper understanding of English-as-a-foreign-language (EFL) teachers’ knowledge, thoughts, and beliefs about written feedback (WF), this thesis explored four Swedish upper secondary school EFL teachers’ cognitions about WF, the sources of their cognitions about WF, and ways in which their cognitions about WF are reflected in their actual feedback practices. To carry out this exploratory investigation, the study made use of semi-structured interviews, sample student texts with teacher WF, and stimulated recall interviews. READ MORE

  6. 10. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Malvin Lundqvist; [2023]
    Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

    Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE