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Syed Izatullah

Bio: Syed Izatullah is an academic researcher. The author has contributed to research in topics: Mathematics education & Test of English as a Foreign Language. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

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Journal ArticleDOI
TL;DR: In this paper , the authors identify the relationship between English language proficiency and academic performance of students enrolled in higher education institutions and propose to arrange more trainings/ courses for language proficiency of students at the undergraduate level.
Abstract: English language proficiency is an important indicator for better academic achievement of students, where the English is second language. The current study aims to identify the relationship between English language proficiency and the academic performance of students enrolled in higher education institutions. The data was collected from three hundred respondents enrolled in undergraduate programs in two higher education institutions. The data was collected through an English proficiency test developed by the British council. The data was analyzed through descriptive statistics and correlation analysis, the results indicate that there is a significant positive relationship between language proficiency and academic performance. Thus led to the recommendation to arrange more trainings/ courses for language proficiency of students at the undergraduate level.

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Book ChapterDOI
01 Jan 2023
TL;DR: In this article , a knowledge tracing method that utilizes the learner's language proficiency as side information was proposed to improve the performance of the knowledge tracing model by incorporating various types of side information.
Abstract: With an increasing interest in personalized learning, active research is being conducted on knowledge tracing to predict the learner’s knowledge state. Recently, studies have attempted to improve the performance of the knowledge tracing model by incorporating various types of side information. We propose a knowledge tracing method that utilizes the learner’s language proficiency as side information. Language proficiency is a key component of comprehending a question’s text and is known to be closely related to students’ academic performance. In this study, language proficiency was defined with Elo rating score and time window features, and was used in the knowledge tracing task. The dataset used in this study contains 54,470 students and 7,619,040 interactions, which were collected from a real-world online-learning platform. We conducted a correlation analysis to determine whether the language proficiency information of students was related to their ability to solve math word problems. In addition, we examined the effect of incorporating the language proficiency information on the knowledge tracing models using various baseline models. The analysis revealed a high correlation between the length of word problems and students’ language proficiency. Furthermore, in experiments with various baseline models, utilizing the language proficiency information improved the knowledge tracing model’s performance. Finally, when language proficiency information was incorporated, the cold start problem of the knowledge tracing model was mitigated. The findings of this study can be used as a supplement for educational instruction.