Empirical testing of a technique for assessing prior knowledge in the field of research training

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Contributors

Abstract

As discussed in the research of Mohamed et al. (2013), learning and studying via a different context, including the inter-cultural knowledge of a teacher, may present a challenge when trying to account for students’ prior knowledge. Enhancing their study, this paper addresses the question of whether or not an internal session comprising open discussion and brainstorming followed by asynchronous commenting and ending with self-reflection might help to assess students’ prior knowledge. Data was collected in the context of a series of academic teachings partly supported by the METIS project (The METIS Project is funded by the national German Federal Ministry of Science and Research, cp.: http://www.ihi.zittau.de/cms/de/621/Forschung.) in two separate phases. Graduate students on master level attended the phase reported here in order to study research methods as a joint activity of Technische Universität Dresden, and Internationales Hochschulinstitut Zittau, both Germany. For the experimental group, the study found that there are no significant differences between the control and treatment group in terms of cognitive achievement and students’ attitudes. From the teacher’s perspective, however, this course is learning atmosphere challenged students’ reactions. Design is suggested to be enhanced to allow a closer look on different types of prior knowledge in the field of research training.

Details

Original languageEnglish
Title of host publicationAdvances in Intelligent Informatics, Smart Technology and Natural Language Processing
EditorsMahasak Ketcham, Thepchai Supnithi, Narit Hnoohom, Kiyota Hashimoto, Rachada Kongkachandra, Pokpong Songmuang, Thanaruk Theeramunkong
PublisherSpringer Verlag
Pages219-228
Number of pages10
ISBN (print)9783319947020
Publication statusPublished - 2019
Peer-reviewedYes

Publication series

SeriesAdvances in Intelligent Systems and Computing
Volume807
ISSN2194-5357

Conference

TitleThe Joint International Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2017
Duration27 - 29 August 2017
CityPrachuapkirikan
CountryThailand

Keywords

Keywords

  • Academic achievement, Knowledge measurement, Learning performance, Post-graduate studies, Prior knowledge, Research training, Test methodology