Logo image
Work-It-Out: A strategy for teaching first year university students "things they should already know"
Journal article   Open access   Peer reviewed

Work-It-Out: A strategy for teaching first year university students "things they should already know"

C. Creagh
International Journal of Innovation in Science and Mathematics Education, Vol.22(6), pp.77-91
2014
pdf
strategy_for_teaching_first_year_university_students.pdfDownloadView
Published (Version of Record) Open Access
url
Free to Read *No subscription requiredView

Abstract

There is an expectation in first year university courses that students with the required pre-requisite knowledge, skills and attitudes, will succeed and transition into second year. Unfortunately this is not always the case. Even though students may have the necessary pre-requisites, as listed in the university handbook, they may not be metacognitive about their university studies. This inadequate understanding, on the part of the students, about the learning and teaching process, means that students do not fully appreciate what they should already know, what they need to learn, and why. The aim of this paper is to describe the rationale and pedagogical features of the Work-It-Out (WIO) teaching strategy which has been developed to fill the gaps in student understanding and to engage them in the basic skills, activities and thought processes that experts employ as a matter of course. Also discussed in this paper are the operational elements developed to support the WIO teaching strategy, such as videos portraying experts in physics discussing the underlying "why" and "how" of learning in diagrams and formulas.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

274 File views/ downloads
114 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.66 HIV
1.66.11 HIV/AIDS Prevention
Web Of Science research areas
Social Sciences, Mathematical Methods
Statistics & Probability
ESI research areas
Social Sciences, general
Logo image