Optimizing the Process of Teaching English for Medical Purposes with the Use of Mobile Applications
A Memrise-based Case Study
Summary
Excerpt
Table Of Contents
- Cover
- Title
- Copyright
- About the author(s)/editor(s)
- About the book
- This eBook can be cited
- Table of Contents
- List of tables
- List of figures
- List of abbreviations
- Introduction
- Chapter One: An Overview of Key Concepts Pertaining to Teaching English for Specific Purposes
- 1.1 Introduction
- 1.2 To ESP or not to ESP
- 1.3 Characteristics of ESP
- 1.4 ESP Methodology
- 1.5 ESP Research History
- 1.5.1 Register Analysis Research
- 1.5.2 Rhetorical or Discourse Analysis Research
- 1.5.3 The Recent Past Research
- 1.5.4 Target Situation Analysis (Needs Analysis)
- 1.5.5 Towards the New
- 1.6 Concluding Remarks
- Chapter Two: Key Features of English for Medical Purposes
- 2.1 Introduction
- 2.2 Core Features of English for Medical Purposes
- 2.2.1 Impact of Latin on Medical Terminology
- 2.2.2 Core Lexical Features of EMP
- 2.2.3 Core Grammatical Features of EMP
- 2.2.3.1 Passivization and Personalization
- 2.2.3.2 Conditional Clauses
- 2.2.3.3 Hedging
- 2.2.3.4 The Use of Tenses
- 2.2.3.5 Sentence Complexity
- 2.2.3.6 The Use of Prepositions
- 2.3 Doctor’s English, Patient’s English
- 2.4 Standardization of Medical Writing
- 2.5 EMP Language Ability
- 2.5.1 sTANDEM Certification
- 2.6 Concluding Remarks
- Chapter Three: Motivation, Learner Autonomy and the Role of the Teacher in Learning and Teaching English for Medical Purposes
- 3.1 Motivational Dimensions
- 3.2 Types of Motivation
- 3.2.1 Intrinsic and Extrinsic Motivation
- 3.2.2 Integrative and Instrumental Orientation
- 3.2.3 Other Theories of Motivation
- 3.3 Motivation in Mobile Learning
- 3.4 Learner Autonomy
- 3.5 The Role of the Teacher in EMP
- 3.6 Concluding Remarks
- Chapter Four: Key Tenets of Mobile Assisted Language Learning
- 4.1 Introduction
- 4.2 Definitions of Mobile Learning
- 4.3 Review of Research on M-learning
- 4.4 The Nature of Mobile Learning
- 4.5 Intelligent Vocabulary Trainers
- 4.6 Flashcard Software
- 4.6.1 Memrise
- 4.7 Technology in Teaching ESP
- 4.8 Concluding Remarks
- Chapter Five: A Memrise-based Case Study
- 5.1 Introduction
- 5.2 Research Goals
- 5.3 Research Method
- 5.3.1 Participants
- 5.3.2 Research Instrument and Procedure
- 5.4 Group Profile
- 5.4.1 Group Characteristics
- 5.4.2 Concluding Remarks
- 5.5 Statistical Analysis of Research Questions
- 5.5.1 Answer to Research Question 1: To what extent are medical students open to the use of (mobile) technology in learning English for Medical Purposes?
- 5.5.2 Answer to Research Question 2: Can self-paced Memrise-based homework enhance the acquisition of course material?
- 5.5.2.1 The Analysis
- 5.5.2.2 Concluding Remarks
- 5.5.3 Research Question 3: How did learners evaluate the Memrise-rooted MALL as an EMP learning experience?
- 5.5.4 Limitations of the Study
- 5.5.5 Concluding Remarks
- Chapter Six: Pedagogical Implications
- 6.1 Introduction
- 6.2 Student Comments Analysis
- 6.3 New Educational Framework
- 6.4 App Design
- 6.5 Concluding Remarks
- References
- Appendix A (Questionnaire 1, Questionnaire 2)
- Series index
Table 1: Variation in medical terminology (after Džuganová 2013)
Table 2: Appropriate tense use in IMRD sections (after Rogers 2007: 43)
Table 3: Appropriate tense use (after Rogers 2007: 43)
Table 4: CEFR descriptors tailored to the sTANDEM project
Table 5: Sample terminological issues
Table 6: Weiner’s attribution matrix (after Zybert 2012: 112)
Table 7: Motivational matrix (Bailey 1986, in Brown 2000: 166)
Table 8: Motivational dimensions (after Ushioda 2001 and Noels 2003)
Table 9: Memrise ranks (adapted from http://www.memrise.com/thread/1291880/)
Table 10: Activities that foster autonomy (Benson 2001, in Dörnyei 2001: 107)
Table 11: M-learning typology after Kukulska-Hulma and Traxler (2005: 182)
Table 12: Attitudes towards mobile learning – Rotated Component Matrix (Varimax)
Table 13: Mean equality test
Table 14: Correlation between U3 Memrise score and U3 post-test
Table 15: Correlation between U5 Memrise score and U5 post-test
Table 16: Results in U3 post-test for groups with/without minimum in Memrise U3
Table 17: Results in U3 post-test for groups with/without maximum in Memrise U3
Table 18: Regression analysis of the U5 post-test results
Table 19: U5 post-test results in sub-groups chosen on the basis of U5 Memrise score and Unit 3 task in the end of term test performance
Table 20: Regression analysis of voluntary Memrise use
Table 21: Regression analysis of voluntary Memrise use
Table 22: Correlation between ‘test’ variable and Memrise scores
Table 23: Scores in U5 Memrise in sub-groups chosen on the basis of Memrise U3 score and post-test performance
Table 24: The aspects of innovative educational practice (after Milrad 2006) with regards to MMEC ← 9 | 10 →
Table 25: Ten principles for the design and implementation of mobile applications and tasks using native mobile functionalities by Stockwell − Hubbard (2013: 8–10)
Table 26: Design issues in Mobile Medical English Companion
Figure 1: Categorization of ESP (after Basturkmen 2006)
Figure 2: ESP classification by experience (Dudley-Evans − St John 1998, after Robinson 1991: 3–4)
Figure 3: The expanding focus of EST (Parkinson 2013, after Halliday 1993)
Figure 4: Motivation dichotomy (after Brown 2000, Dörnyei 2001)
Figure 5: Gardner’s conceptualisation of the integrative motive (after Dörnyei 2001: 17, Dörnyei 2005: 69)
Figure 6: The relationship between computer literacy and willingness to adopt new technologies for learning
Figure 7: Factors affecting motivation in m-learning
Figure 8: Classification of educational spaces (after Kuzmicz – Skrzydlewski 2012: 82)
Figure 9: M-learning components matrix
Figure 10: The Language Partner (after Presson et al. 2013: 158)
Figure 11: Why did you choose to study medicine?
Figure 12: What motivates you to learn English for Medical Purposes?
Figure 13: Dendrogram of student motivation to learn English for Medical Purposes
Figure 14: Factors influencing success in foreign language learning
Figure 15: Apart from English, what foreign languages do you know?
Figure 16: The knowledge of foreign languages other than English (Latin included)
Figure 17: The knowledge of foreign languages other than English (Latin excluded)
Figure 18: Apart from regular classes, how much time do you spend learning English for Medical Purposes?
Figure 19: The ownership of digital devices among the study participants
Figure 20: The number of digital devices owned
Figure 21: Frequency of use of social networks
Figure 22: How often do you use a mobile phone/smartphone to use the Internet?
Figure 23: How do you access web content on your mobile phone?
Figure 24: Which devices do you use to learn English? And how often?
Figure 25: Would you be interested in learning EMP via a mobile app? ← 11 | 12 →
Figure 26: Which three features of a mobile learning app do you think are most important?
Figure 27: Dendrogram of the most important features of a learning mobile app
Figure 28: Mobile learning makes learning personalized
Figure 29: M-learning is a convenient and efficient way of learning
Figure 30: In the future, mobile learning will play an important role in English language learning
Figure 31: Mobile devices can be a good supplementation of a language course
Details
- Pages
- 205
- Publication Year
- 2017
- ISBN (PDF)
- 9783631730621
- ISBN (ePUB)
- 9783631730638
- ISBN (MOBI)
- 9783631730645
- ISBN (Hardcover)
- 9783631730614
- DOI
- 10.3726/b11583
- Language
- English
- Publication date
- 2017 (July)
- Keywords
- ESP Mobile Apps Medical English Learner Motication Task Design M-Learning
- Published
- Frankfurt am Main, Bern, Bruxelles, New York, Oxford, Warszawa, Wien, 2017. 205 pp., 47 b/w ill., 26 b/w tables