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Quantitative Methods Teaching A Collaborative Approach Dr Sarah Keast, Dr Fangya Xu, Panagiotis Tziogkidis 1

Quantitative methods teaching: a collaborative learning approach - Sarah Keast, Fangya Xu and Panagiotis Tziogkidis (Plymouth University)

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This is a draft of the presentation that will be given at the HEA Social Sciences annual conference - Teaching forward: the future of the Social Sciences. For further details of the conference: http://bit.ly/1cRDx0p Bookings open until 14 May 2014 http://bit.ly/1hzCMLR or [email protected] ABSTRACT This paper explores the development of a programme of learning to enable first year undergraduate students to develop their quantitative methods knowledge and skills. The plan is to dispense with traditional lectures, replacing them with discussion sessions which promote collective learning. This will be facilitated through a set of customised video lectures created using the TEDEd website. The course will combine an innovative blend of teaching and assessment approaches including learning through teaching, peer assessment, and viva voce with the aim of engendering a culture of collaborative learning. This paper reflects upon the development and implementation of this study programme.

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Page 1: Quantitative methods teaching: a collaborative learning approach - Sarah Keast, Fangya Xu and Panagiotis Tziogkidis (Plymouth University)

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Quantitative Methods Teaching

A Collaborative Approach

Dr Sarah Keast, Dr Fangya Xu, Panagiotis Tziogkidis

Page 2: Quantitative methods teaching: a collaborative learning approach - Sarah Keast, Fangya Xu and Panagiotis Tziogkidis (Plymouth University)

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Background Motivation The Literature The Plan Resources An example

Introduction

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Economics Group◦ Faculty of Business

Students◦ Average cohort 110◦ No post 16 mathematics qualification required

Programmes◦ BSc Economics (7 separate programmes in total)◦ Core second year Econometrics and final year electives in

mathematical economics and economic modelling Module

◦ Core for all Economics programmes◦ 20 credits◦ Mathematical and statistical modelling

Background

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Motivation Traditional lecture/tutorial format not

effective for teaching QM Lack of engagement amongst some

students Increased size of cohort More efficient use of staff resources Perceived decline in quantitative skills of in-

coming students

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Economics is less popular among disciplines in the NSS, especially with respect to assessment and feedback

Recent trends in teaching and learning include:◦ Peer learning◦ Problem based approaches◦ Use of online resources to facilitate independent

reading

Literature

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ETL project in economics: the traditional lecture-tutorial mode seems to fall apart

Constructive alignment: Biggs (1996)◦ … but also align with students: Reimann (2004)

Threshold concepts for teaching QM: Meyer and Land (2003)

Problem based approaches and “learning by doing”: Kolb (1984), Barnett (2009)◦ … particularly good for QM (Aliaga et al., 2012)

Student learning in economics

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20 %

10 %

5%

30 %

50 %

75 %

90 %

Lecture

Reading

Audio Visual

Demonstration

Group Discussion

Practice

Teaching others

Retention rate The learning pyramid

Source: National Training Laboratories, Bethel, Maine

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“To teach is to learn twice” - Whitman and Fife (1988)

The “learning cell”: Goldschmid (1970) Many benefits but many challenges: Boud

et al. (2001), Topping (2005) Assessment needs to be well-thought: Boud

et al. (1999) Recent examples: Herrmann (2013)

Peer learning

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Learning opportunities◦ Resource based learning: Video ‘lectures’ ◦ Learning through teaching◦ Experiential learning

Assessment and feedback◦ Peer assessment and critique◦ Online self-assessment with immediate automatic

feedback◦ Mini viva assessed by academic staff with specific

feedback◦ Consultancy style report and presentation with

authentic feedback

The Plan

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A series of resource booklets consisting of the following material:◦ Background documents with key concepts and

intended learning outcomes ◦ TED-Ed: build an online lesson using TED-Ed and

YouTube resources http://ed.ted.com/lessons?category=business-economics

◦ Mathematical for Economics: enhancing Teaching and Learning (METAL) http://www.metalproject.co.uk/

◦ Questionmark-Perception (QMP) and MyMathLab are used for self-assessment/formal assessment

Resources

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Example: How to Calculate Equilibrium Price and

Quantity

http://ed.ted.com/activity/lessons?lesson=EJuCkuSP&state=updateShare the lesson with students and ask them toWatch-Think-Dig deeper-Discuss-And Finally

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Teaching QM in economics is challenging We propose a blend of collaborative

learning and resources Obvious benefits but pitfalls that must be

avoided

Summary