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Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead – Journal of Learning Analytics, 2025
Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…
Descriptors: Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing, Problem Solving
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Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
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Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns
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Eitemüller, Carolin; Trauten, Florian; Striewe, Michael; Walpuski, Maik – Journal of Science Education and Technology, 2023
For various reasons, students receive less formative feedback at post-secondary institutions compared to secondary school. Considering feedback as one of the most important influencing factors on learning processes, formative feedback is a promising approach to improving students' performances. In this context, new technologies, such as learning…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Error Patterns
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
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Taipalus, Toni; Siponen, Mikko; Vartiainen, Tero – ACM Transactions on Computing Education, 2018
SQL is taught in almost all university level database courses, yet SQL has received relatively little attention in educational research. In this study, we present a database management system independent categorization of SQL query errors that students make in an introductory database course. We base the categorization on previous literature,…
Descriptors: Programming Languages, Database Management Systems, Database Design, College Students
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Juan Carlos Olmos Alcoy; Agnieszka Atthasit – THAITESOL Journal, 2024
This research explored students' perception vis-à-vis of the (dis)advantages of face-to-face and online learning of foreign languages in a tertiary education institution in Thailand. The research took a mixed methods approach utilizing a pre-set questionnaire and a multiple-choice question. Data were collected from 433 students using an online…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Online Courses
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Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Mijares, Benjamin F., III – Online Submission, 2023
The result of the Division Achievement Test in Science administered to Grade 6 learners, out of six competencies included in MELCS, four competencies were identified as the "Least Learned" as they got a mastery level indicated as "Low Proficient". Thus, this developmental research aimed to develop and test supplementary…
Descriptors: Earth Science, Science Instruction, Educational Quality, Supplementary Reading Materials
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Lin, Chi-Jen; Hwang, Gwo-Jen; Fu, Qing-Ke; Chen, Jing-Fang – Educational Technology & Society, 2018
English business writing is an important and challenging course for English as Foreign Language (EFL) students since it is not only related to English writing skills, but also to business knowledge. Context-game based learning seems to be a good approach to situating students in a meaningful and interesting practicing environment, which could…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Business Communication