<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">CEF</journal-id><journal-title-group><journal-title>Contemporary Education Frontiers</journal-title></journal-title-group><issn>3029-1879</issn><eissn>3029-1860</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/CEF.v4i6.15597</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Typical Learner Profiles in College English Classrooms: A Mixed‑Methods Study and Pedagogical Implications</title><url>https://artdesignp.com/journal/CEF/4/6/10.26689/CEF.v4i6.15597</url><author>WangTiantian,XueJialin,YuMuzhen</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>6</issue><history><date date-type="pub"><published-time>2026-06-26</published-time></date></history><abstract>While mobile‑assisted language learning (MALL) has been widely studied, relevant learner profiles, particularly in the college English classroom, remain underexplored. The article examines learner profiles in China&amp;rsquo;s college English classroom. Based on questionnaire data from 111 students and semi‑structured interviews with 5 students and 2 college English teachers, we identify three typical learner profiles: Self-directed elites, GPA-oriented professionals and Classroom gamers. The three learner profiles differ greatly in learning behaviors, motivation, emotions, digital resources use, and course expectations. The paper thus concludes that a one‑size‑fits‑all teaching approach fails to accommodate such learner diversity, and offers action plans for personalized instruction and task design, with implications for learner‑centered pedagogy and digital learning tool designers.</abstract><keywords>College English,Learner profile,EFL teaching reform,Digital learning tools</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Alisoy H, Sadiqzade Z, 2024, Mobile-Assisted Language Learning (MALL): Revolutionizing Language Education. Luminis Applied Science and Engineering, 2024(1): 60&amp;ndash;72.
[2] Testmyspeed, 2026, Smartphone Statistics You Need to Know. Testmyspeed, visited on March 20, 2026, https://www.testmyspeed.com/insights/smartphone-statistics-you-need-to-know.
[3] Zamecnik A, Kovanovic V, Joksimovic S, et al., 2022, Exploring Non-Traditional Learner Motivations and Characteristics in Online Learning: A Learner Profile Study. Computers and Education: Artificial Intelligence, 2022(3): 100051.
[4] Gao Y, Guo Y, Wang Y, 2025, Chinese English as a Foreign Language College Students&amp;rsquo; Emotional Intelligence and Willingness to Communicate: A Latent Profile Analysis. Perceptual and Motor Skills, 2025(1): 119&amp;ndash;143.
[5] Yukselturk E, Top E, 2013, Exploring the Link Among Entry Characteristics, Participation Behaviors and Course Outcomes of Online Learners: An Examination of Learner Profile Using Cluster Analysis. British Journal of Educational Technology, 2013(5): 716&amp;ndash;728.
[6] Tang H, Bao Y, 2024, Self-Regulated Learner Profiles in MOOCs: A Cluster Analysis Based on the Item Response Theory. Interactive Learning Environments, 2024(5): 1877&amp;ndash;1893.
[7] Braun V, Clarke V, 2006, Using Thematic Analysis in Psychology. Qualitative Research in Psychology, 2006(2): 77&amp;ndash;101.
[8] Morstain BR, Smart JC, 1977, A Motivational Typology of Adult Learners. The Journal of Higher Education, 1977(6): 665&amp;ndash;679.
[9] Boeren E, Holford J, Nicaise I, et al., 2012, Why Do Adults Learn? Developing a Motivational Typology Across 12 European Countries. Globalisation, Societies and Education, 2012(2): 247&amp;ndash;269.
[10] Costa A, Faria L, 2024, Individualist-Collectivist Profiles in Secondary School: An Exploratory Study of Trait Emotional Intelligence and Academic Achievement. European Journal of Psychology of Education, 2024(3): 2783&amp;ndash;2803.
[11] Avdeeva ZK, Omarova NO, Taratuhina YV, 2015, Smart Education and Smart E-Learning. Springer International Publishing, Cham.
&amp;nbsp;</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
