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Benjaminsson, Simon
Publications (2 of 2) Show all publications
Hrastinski, S., Stenbom, S., Benjaminsson, S. & Jansson, M. (2019). Identifying and exploring the effects of different types of tutor questions in individual online synchronous tutoring in mathematics. Interactive Learning Environments
Open this publication in new window or tab >>Identifying and exploring the effects of different types of tutor questions in individual online synchronous tutoring in mathematics
2019 (English)In: Interactive Learning Environments, ISSN 1049-4820, E-ISSN 1744-5191Article in journal (Refereed) Published
Abstract [en]

Although we know that asking questions is an essential aspect of onlinetutoring, there is limited research on this topic. The aim of this paperwas to identify commonly used direct question types and explore theeffects of using these question types on conversation intensity, approachto tutoring, perceived satisfaction and perceived learning. The researchsetting was individual online synchronous tutoring in mathematics. Theempirical data was based on 13,317 logged conversations and aquestionnaire. The tutors used a mix of open, more student-centredquestions, and closed, more teacher-centred questions. In contrast toprevious research, this study provides a more positive account indicatingthat it is indeed possible to train tutors to focus on asking questions,rather than delivering content. Frequent use of many of the questiontypes contributed to increased conversation intensity. However, therewere few question types that were associated with statisticallysignificant effects on perceived satisfaction or learning. There are nosilver bullet question types that by themselves led to positive effects onperceived satisfaction and learning. The question types could be used byteachers and teacher students when reflecting on what types ofquestions they are asking, and what kind of questions they could be asking.

Keywords
Individual tutoring; online tutoring; synchronous learning; mathematics; tutor questions
National Category
Learning
Identifiers
urn:nbn:se:kth:diva-258729 (URN)10.1080/10494820.2019.1583674 (DOI)2-s2.0-850623353192-s2.0-85062335319 (Scopus ID)
Note

QC 20191105

Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-11-05Bibliographically approved
Benjaminsson, S., Herman, P. & Lansner, A. (2016). Performance of a computational model of the mammalian olfactory system. In: Neuromorphic Olfaction: (pp. 173-211). CRC Press
Open this publication in new window or tab >>Performance of a computational model of the mammalian olfactory system
2016 (English)In: Neuromorphic Olfaction, CRC Press , 2016, p. 173-211Chapter in book (Other academic)
Place, publisher, year, edition, pages
CRC Press, 2016
National Category
Bioinformatics (Computational Biology)
Identifiers
urn:nbn:se:kth:diva-236878 (URN)2-s2.0-85052766502 (Scopus ID)9781439871720 (ISBN)9781439871713 (ISBN)
Note

QC 20181213

Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2018-12-13Bibliographically approved
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