Arab World English Journal (AWEJ) Special Issue on CALL Vol. 17, No.12. July 2026 Pp. 345-364

TEM-4 Vocabulary Learning Needs of Chinese PGUI Students: A Mixed-Methods Analysis for Mobile App Design

Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia

Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia

Corresponding Author: melor@ukm.edu.my

Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia

Abstract:

Private general undergraduate institutions (PGUIs) account for 31.5% of undergraduate institutions in China, yet the vocabulary learning needs of their English majors remain underexplored, highlighting a critical research gap. This study adopts Hutchinson and Waters’ (1987) needs analysis framework to examine PGUI students’ Test for English Majors Band-4 (TEM-4) vocabulary learning needs. Employing a convergent parallel mixed-methods design, this study integrated questionnaire data from 240 students with semi-structured interviews from seven experienced teachers. The findings indicated that 77.9% of students recognized vocabulary as essential for TEM-4 performance, reflected in a high mean score for perceived necessity (M = 3.98, SD = 1.05). However, they reported moderate perceived lacks (M = 3.62) in current learning approaches. Students showed strong acceptance of mobile-assisted learning (M = 3.80) and high expectations for deep learning functions (M = 3.71). Qualitative analysis of 475 codes across 26 sub-themes revealed that teachers identified a critical 3:1 receptive-productive gap, with students recognizing approximately 6,000 words but actively using fewer than 2,000. All seven teachers confirmed that existing mobile applications, despite widespread use, fail to support deep vocabulary learning outcomes. The integration of quantitative and qualitative findings provided clear guidelines for developing TEM-4-specific mobile applications, highlighting systematic testing with immediate feedback, authentic TEM-4 examples, vocabulary discrimination exercises, and multimodal learning resources. The study provides empirical evidence for designing mobile applications that address the multidimensional vocabulary learning needs of PGUI students, a distinct and under-researched learner population.

Cite as:

Duan, H.,  Yunus, M. M., & Ismail, H.H.(2026).TEM-4 Vocabulary Learning Needs of Chinese PGUI Students: A Mixed-Methods Analysis for Mobile App Design. Arab World English Journal (AWEJ) Special Issue on CALL17. (12) 345-364.

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Haiping Duan is a PhD candidate in Teaching English as a Second Language (TESL) at the Faculty of Education, Universiti Kebangsaan Malaysia (UKM), with nine years of teaching and research experience in higher education. Her research focuses on technology-enhanced language learning, particularly in mobile-assisted vocabulary acquisition in EFL contexts.
ORCID: https://orcid.org/0009-0004-3979-5928

Melor Md Yunus is a Professor at the Faculty of Education, Universiti Kebangsaan Malaysia. She holds a M.A. in TESL from the Arizona State University, USA. She then earned her Ph.D. in Education (TESL) from the University of Bristol, UK. Her areas of concentration are TESL, language pedagogy and the use of technology in TESL. ORCID: https://orcid.org/0000-0001-7504-7143

Hanita Hanim Ismail is a senior lecturer at the Faculty of Education of UKM, specialising in TESL and English literature. Her research focuses on enhancing teaching methods, curriculum development, and materials for English instruction.
ORCID: https://orcid.org/0000-0003-3121-8822