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Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Zhang, Mengxue; Wang, Zichao; Baraniuk, Richard; Lan, Andrew – International Educational Data Mining Society, 2021
Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…
Descriptors: Mathematics Instruction, Teaching Methods, Intelligent Tutoring Systems, Error Patterns
PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
Jin Hua Liu; Man Jiang; Jian Hong Ye – International Society for Technology, Education, and Science, 2023
The purpose of this study was to investigate the sources of Chinese learning anxiety among Chinese learners in Vietnam and the strategies and methods used to cope with anxiety. Based on the findings, we suggest effective strategies to relieve learners' learning anxiety caused by different anxiety-inducing situations. The results of this study…
Descriptors: Anxiety, Second Language Learning, Second Language Instruction, Chinese
Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Al-Jarf, Reima – Online Submission, 2019
36 Saudi EFL freshmen students, at the College of Languages and Translation, took a listening-spelling test in which they filled out 100 blanks in a dialogue. Results indicated that 63% of the spelling errors were phonemic and 37% were graphemic. It was also found that the subjects had more problems with whole words than problems with graphemes…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Phoneme Grapheme Correspondence
Cho, Peter; Nagle, Courtney – North American Chapter of the International Group for the Psychology of Mathematics Education, 2017
This study extends past research on students' understanding of slope by analyzing college students' mistakes on routine tasks involving slope. We conduct quantitative and qualitative analysis of students' mistakes to extract information regarding slope conceptualizations described in prior research. Results delineate procedural proficiencies and…
Descriptors: Task Analysis, College Students, Error Correction, Error Patterns
Mirzaei, Maryam Sadat; Meshgi, Kourosh; Akita, Yuya; Kawahara, Tatsuya – Research-publishing.net, 2015
Automatic Speech Recognition (ASR) technology has become a part of contemporary Computer-Assisted Language Learning (CALL) systems. ASR systems however are being criticized for their erroneous performance especially when utilized as a mean to develop skills in a Second Language (L2) where errors are not tolerated. Nevertheless, these errors can…
Descriptors: Assistive Technology, Speech Communication, Computer Assisted Instruction, Second Language Instruction
McClarty, Katie Larsen; Murphy, Daniel; Keng, Leslie; Turhan, Ahmet; Tong, Ye – Pearson, 2012
There is much focus at the state and national levels in graduating students that are prepared for college and careers. In order for students to be prepared at the end of their K-12 education, indicators are also needed along the way about whether students are on track. Using historical state data, nine different methods were used to align…
Descriptors: Elementary School Mathematics, Secondary School Mathematics, Alignment (Education), Academic Standards
Barker-Plummer, Dave; Cox, Richard; Dale, Robert – International Working Group on Educational Data Mining, 2009
In this paper, we present a study of a large corpus of student logic exercises in which we explore the relationship between two distinct measures of difficulty: the proportion of students whose initial attempt at a given natural language to first-order logic translation is incorrect, and the average number of attempts that are required in order to…
Descriptors: Data Analysis, Logical Thinking, Difficulty Level, Assignments
Al-Jarf, Reima – Online Submission, 2008
English as a Foreign Language (EFL) freshman students at the College of Languages and Translation received direct instruction in adjective-forming suffixes, then they took an immediate and a delayed test. Error analysis showed that 36% of the responses were left blank or the subjects duplicated the stimulus word. In 32% they mismatched the word…
Descriptors: College Freshmen, Late Adolescents, English (Second Language), Second Language Learning
Blevins-Knabe, Belinda – 1988
The purpose of this study was to examine the division procedures of preschool children to determine whether such procedures involved one-to-one correspondence. Large and small numerosity trials were included so that the amount of effort and ease of using other procedures would vary. Odd and even number trials were included to determine whether…
Descriptors: Age Differences, Cognitive Ability, Difficulty Level, Division
Patkowski, Mark S. – 1989
A study of the holistic evaluation of writing compared holistic rating and the rating for "conformity to correct prose" technique, a technique based on error counting, of five essays representing five ability levels. The essays were produced in a college English-as-a-Second-Language program. The two scoring methods produced the same ranking of…
Descriptors: Difficulty Level, English (Second Language), Error Patterns, Essays
Hyams, Nina – 1987
Outside the core grammar, the set of "peripheral" or marked properties of a language include exceptions or relaxations of the settings of core grammar and the idiosyncratic features of the language governed by particular lexical items. The core/peripheral distinction has direct implications for grammatical development in children. The…
Descriptors: Child Language, Difficulty Level, Error Patterns, Language Acquisition
Stromswold, Karin – 1989
A study of children's acquisition of the auxiliary verb system in English is reported. The first section describes the operation of the auxiliary system, and proposes that the behavior of auxiliaries is so complicated that if children were to generalize from one auxiliary to another, they would make predictable errors. The second section reviews…
Descriptors: Child Language, Difficulty Level, English, Error Analysis (Language)
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