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Journal : Jurnal Pendidikan Progresif

Do Reading Difficulty Factors Affect TOEFL Reading Scores?: A Study of Non-English Major Students Rahmani, Eka Fajar; Fauzi, Chandra
Jurnal Pendidikan Progresif Vol 15, No 2 (2025): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v15i2.pp966-977

Abstract

Reading comprehension is quite important for non-English major students—especially in academic settings where access to English-language resources is required. Objective: The purpose of this study is to investigate among 143 non-English major students at Universitas Tanjungpura the relationship between the observed reading comprehension difficulties and TOEFL reading performance. Method: Using a descriptive correlational design, data were collected through a 25-item Likert-scale questionnaire measuring five key variables: vocabulary knowledge, grammatical complexity, prior knowledge, test anxiety, and time constraint. TOEFL reading scores were obtained from Educational Testing Service (ETS) practice tests. Findings: Pearson correlation analysis revealed a modest but statistically significant positive correlation between perceived difficulty factors and TOEFL reading scores (r = 0.3497, p < .01). Among the variables, vocabulary knowledge (r = 0.428, p < .01) and grammatical complexity (r = 0.397, p < .01) showed the strongest relationships with performance. Multiple regression analysis confirmed that all five factors accounted for 23.2% of the variance in TOEFL reading scores (F(5,137) = 9.314, p < .001), with vocabulary knowledge (β = .259, p < .01) and grammatical complexity (β = .220, p < .05) emerging as the most significant predictors. These results demonstrate how important it is to include psychological and language elements into reading instructions. This study offers a novel addition by linking students' perceived reading difficulties with actual exam performance in the understudied setting of Indonesian non-English majors. Conclusion: This study emphasizes also the importance of customized teaching strategies addressing particular challenges experienced by these students. Teachers or lecturers, in this situation, can better help non-English majors in raising their reading competence and general academic achievement by concentrating on strengthening vocabulary and grammatical knowledge. Future studies urged to investigate other elements including reading techniques and student motivation. Keywords: correlational study, non-English major students, perceived difficulties, reading comprehension, TOEFL.
Beyond Technology Acceptance: An Interplay of Self-Efficacy, Language Proficiency, and ChatGPT Adoption from a TAM Perspective Fauzi, Chandra; Rahmani, Eka Fajar; Utimadini, Nindya Juwita
Jurnal Pendidikan Progresif Vol 15, No 3 (2025): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v15i3.pp1970-1988

Abstract

Beyond Technology Acceptance: An Interplay of Self-Efficacy, Language Proficiency, and ChatGPT Adoption from a TAM Perspective. Objective: Adopting Generative AI tools for writing improvement, such as ChatGPT, among EFL students is a complex phenomenon where perceptions of technology, often explained by the Technology Acceptance Model (TAM), intersect with important psychological factors like self-efficacy as the theoretical lens. This study seeks to empirically examine the constructs of the TAM framework and scrutinize the differences in ChatGPT acceptance viewed from students' self-rated writing proficiency. Method: This quantitative research adopted a descriptive-correlational design, utilizing convenience sampling to recruit 76 fourth-semester English Education EFL learners at a state university in West Kalimantan. A 29-item questionnaire was administered to collect the data, which was subsequently analyzed using the Mann-Whitney U test, Spearman correlation, and multiple regression. Findings: The regression model predicting attitude was significant (F (2,73) = 161.65, p < 0.001), in which 81.1% of the variance (Adjusted R2 = 0.811) was accounted for by PU (Perceived Usefulness) and Perceived Ease of Use (PEOU), confirming PU as the main predictor (β = 0.644). At the same time, PEOU also exerted a notable influence (β = 0.301), and a strong positive correlation was found between attitude and actual usage (r = .845, p < 0.01). A significant difference in attitude existed between writing proficiency groups (p = .039), with the intermediate group showing more positive attitudes. Conclusion: The results demonstrate that whereas TAM constructs strongly predict technology acceptance, they are also influenced by students' writing proficiency. Furthermore, a significant difference exists in ATU, but not in BI, in terms of writing proficiency. These findings highlight the necessity for differentiated teaching practices that recognize discrepancies in students' writing proficiency and the potential of self-efficacy level. Keywords: academic writing, ChatGPT, Self-efficacy, technology acceptance model (TAM), writing proficiency.