Mobile-assisted Language Learning: A Comprehensive Study Guide

Mobile-assisted Language Learning: A Duolingo Case Study

Abstract

  • Growing availability of mobile technologies has led to an increase in mobile-assisted language learning (MALL).

    • MALL allows learners to autonomously study a second language (L2) anytime, anywhere (Kukulska-Hulme, Lee & Norris, 2017; Reinders & Benson, 2017).

  • Research on the effectiveness of MALL has been limited, particularly for commercial apps such as Duolingo.

    • A commissioned study showed favorable language learning outcomes (Vesselinov & Grego, 2012).

    • However, independent research has highlighted issues regarding learner persistence, motivation, and program efficacy (Lord, 2015; Nielson, 2011).

  • This study investigates the semester-long experiences and results of nine participants learning Turkish via Duolingo.

    • Participants showed improvement in L2 measures, with a positive correlation between time spent on Duolingo and learning gains.

    • General perceptions included positive views on flexibility and gamification, but noted variability in motivation and frustration with materials.

Keywords

  • Duolingo, mobile-assisted language learning (MALL), self-directed language learning, Turkish

1. Introduction

  • Impact of Mobile Technologies on L2 Learning

    • Mobile technologies have revolutionized the study and learning of L2 (Kukulska-Hulme et al., 2017).

    • Learners can make autonomous choices on where, when, and how to study L2 (Reinders & Benson, 2017).

    • Popularity of apps like Duolingo (200 million active users as of 2018) emphasizes interest in technology for L2 study.

  • Need for Effective Evaluation of Language Learning Programs

    • Heift and Chapelle (2012) emphasized the need to understand new conditions for second language acquisition (SLA) shaped by technological capabilities.

    • Plonsky and Zeigler (2016) highlighted the necessity to explore how technology can enhance optimal language learning opportunities.

1.1 Mobile-Assisted Language Learning (MALL)
  • Definition: MALL involves using mobile technologies for educational purposes, allowing learning at flexible times and locations (Burston, 2015; Duman et al., 2015).

  • Key Components of MALL:

    • Flexibility in study time and location.

    • Continuity across devices (phones, tablets, computers).

    • Easy access to information.

    • Adaptability to individual study habits (Duman et al., 2015).

  • Popularity and Usage: Despite some limitations, MALL apps are widely used for autonomous language learning, often outside of formal education.

1.2 Effectiveness of MALL
  • Research on MALL has shown advantages for reading, listening, and speaking skills (Burston, 2015).

  • Commercial Programs:

    • Commissioned studies have found favorable outcomes, while independent research raises concerns over learner persistence (Lord, 2015; Nielson, 2011).

1.3 Duolingo
  • Overview: Duolingo, launched in 2011, is a free, mobile-accessible language education platform that syncs progress across devices.

  • Effectiveness Claims:

    • The platform claims to teach language material equivalent to a first semester college language course within an average of 34 hours (Vesselinov & Grego, 2012).

  • Mixed Research Findings:

    • Studies suggest Duolingo may serve as a cost-effective alternative but highlight pedagogical limitations, especially in terms of authentic language context (Cunningham, 2015; Rachels & Rockinson-Szapkiw, 2018).

2. Method

  • Participants: Nine individuals from Michigan State University (3 female, 6 male), all with prior L2 experience but no prior exposure to Turkish.

    • Graduate students and a professor comprised the participant group, with varying L1 backgrounds.

  • Materials:

    • Duolingo app and additional testing instruments (Duolingo Progress Test and a Turkish 151 Test).

    • Participants maintained journals to document their experiences.

  • Procedure: Four phases of study over 12 weeks were followed by language assessments (Duolingo Progress Test and Turkish 151 Test).

2.1 Materials
  • Duolingo Features:

    • Lessons divided into skills and presented in linear order.

    • Activities: L1–L2/L2–L1 translations, multiple-choice, dictation, and oral repetition (available on desktops only).

    • Gamification elements: setting goals, earning experience points (XP), and competition through leaderboards.

2.2 Procedure Phases
  1. Turkish Study & Journaling: Participants began with a minimum target of 34 hours of study using only Duolingo.

  2. Language Assessment: All completed language tests after 12 weeks.

  3. Continued Study: Participants could study further to meet the 34-hour target.

  4. Final Assessment: Retake the tests (July 2016).

3. Results

3.1 Learning Outcomes - RQ1
  • Study Time: Participants spent an average of 29 hours studying; mobile app and web combat methods were analyzed for time spent.

  • Test Scores:

    • Duolingo Progress Test average: 0.63/5.00 with a range from 0.35-1.78.

    • Turkish 151 Test average: 48% with a range of 23%-76%.

  • Subscore Performance:

    • Better performance in reading, writing, and lexicogrammar compared to speaking and listening.

3.2 Experiences - RQ2
  • Flexibility of Use: Many students appreciated the ability to learn anywhere, although some felt pressured to fit in study time.

  • Wavering Motivation: Initial motivation decreased as time progressed.

  • Perceived Progress: Doubts regarding actual language acquisition were prevalent despite completing lessons.

  • Individual Approaches: Varied each participant's study style, some prioritizing review over new lessons.

4. Discussion

  • Participants benefited somewhat from Duolingo, but outcomes were mixed.

    • Low overall passing rates challenge the claims made about the platform's effectiveness.

    • Motivation variations affected learning gains; students lacked intrinsic investment in Turkish as a language.

  • Importance of pairing technology with formal education to optimize outcomes.

5. Limitations

  • Small sample limits generalizability.

  • Participants' previous L2 experience may not reflect typical Duolingo users' outcomes.

6. Conclusion

  • Duolingo can improve L2 knowledge, but claims regarding effectiveness may be overstated. Incorporating a wider range of activities and making improvements based on SLA research is recommended.

References

  • Extensive references are provided for further reading, including works by Burston, Krashen, and Kukulska-Hulme, among others.

Acknowledgments

  • Authors acknowledge contributors to the project and adherence to ethical research standards.