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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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Marchisio, Marina; Roman, Fabio; Sacchet, Matteo – International Association for Development of the Information Society, 2021
The role of mathematical modelling pertains several disciplines, both STEM and non-STEM, and various fields: education, academy, work, everyday and social life. Despite its importance, it is not uncommon to see university students facing difficulties with the use of Mathematics to create models, even when mathematical entities that play a role in…
Descriptors: Mathematical Models, College Students, Mathematics Tests, Error Patterns
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Rebei, Adnan; Anderson, Nathaniel D.; Dell, Gary S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Every language has unique phonotactics, general rules about how phonemes combine to make syllables. We know that people can implicitly learn new phonotactic rules in the laboratory, and these rules then affect their speech errors. Some types of rules, however, require a consolidation period before they influence speech errors. Two experiments are…
Descriptors: Syllables, Phonetics, Phonemes, Error Patterns
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Galligan, Linda; Hobohm, Carola – Mathematics Education Research Journal, 2015
This paper investigates how an online test ("Self-Test" developed at the University of Southern Queensland) can enrich students' understanding of their academic numeracy, through a purpose-built, self-assessment tool aligned with online modules. Since its creation and evaluation, the tool has been developed and tailored to suit other…
Descriptors: Self Evaluation (Individuals), Mathematics Skills, Numeracy, College Mathematics
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Nutbrown, Stephen; Higgins, Colin – Computer Science Education, 2016
This article explores the suitability of static analysis techniques based on the abstract syntax tree (AST) for the automated assessment of early/mid degree level programming. Focus is on fairness, timeliness and consistency of grades and feedback. Following investigation into manual marking practises, including a survey of markers, the assessment…
Descriptors: Programming, Grading, Evaluation Methods, Feedback (Response)
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Steif, Paul S.; Fu, Luoting; Kara, Levent Burak – Interactive Learning Environments, 2016
Problems faced by engineering students involve multiple pathways to solution. Students rarely receive effective formative feedback on handwritten homework. This paper examines the potential for computer-based formative assessment of student solutions to multipath engineering problems. In particular, an intelligent tutor approach is adopted and…
Descriptors: Formative Evaluation, Engineering Education, Problem Solving, Intelligent Tutoring Systems
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Fiorella, Logan; van Gog, Tamara; Hoogerheide, Vincent; Mayer, Richard E. – Journal of Educational Psychology, 2017
The present study tests whether presenting video modeling examples from the learner's (first-person) perspective promotes learning of an assembly task, compared to presenting video examples from a third-person perspective. Across 2 experiments conducted in different labs, university students viewed a video showing how to assemble an 8-component…
Descriptors: Perspective Taking, Video Technology, Instructional Materials, Modeling (Psychology)
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Veerasamy, Ashok Kumar; D'Souza, Daryl; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2016
This article presents a study aimed at examining the novice student answers in an introductory programming final e-exam to identify misconceptions and types of errors. Our study used the Delphi concept inventory to identify student misconceptions and skill, rule, and knowledge-based errors approach to identify the types of errors made by novices…
Descriptors: Computer Science Education, Programming, Novices, Misconceptions
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English, John; English, Tammy – Journal of Information Technology Education: Innovations in Practice, 2015
In this paper we discuss the use of automated assessment in a variety of computer science courses that have been taught at Israel Academic College by the authors. The course assignments were assessed entirely automatically using Checkpoint, a web-based automated assessment framework. The assignments all used free-text questions (where the students…
Descriptors: Computer Science Education, Computer Assisted Testing, Foreign Countries, College Students
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Kim, Say Young; Wang, Min; Taft, Marcus – Scientific Studies of Reading, 2015
Korean has visually salient syllable units that are often mapped onto either prefixes or suffixes in derived words. In addition, prefixed and suffixed words may be processed differently given a left-to-right parsing procedure and the need to resolve morphemic ambiguity in prefixes in Korean. To test this hypothesis, four experiments using the…
Descriptors: Morphology (Languages), Morphemes, Korean, Syllables
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Mushangwe, Herbert – Iranian Journal of Language Teaching Research, 2014
This study examined how technology can help in assessing and teaching Chinese tones to foreign students who are not used to tonal languages. It was an attempt to show how we can use the PRAAT software to make learners of Chinese as a foreign language realize their tonal errors. The data used was collected from the students at the University of…
Descriptors: Foreign Countries, Chinese, Second Language Instruction, Tone Languages
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Krug, Clara – 1981
Based on the premise that teaching basic writing involves first understanding what tends to go wrong when students write, a computer assisted system of error prediction and analysis was designed to improve college students' writing skills in both English and French. Students were to complete a sequenced series of writing assignments first in…
Descriptors: College Students, Computer Assisted Testing, English, Error Analysis (Language)
Amberg, Julie S. – 1984
The results of a study assessing the grammatical instruction needs of developmental English students and students of advanced English as a second language (ESL) at the University of Louisiana are reported. Faculty hypothesized that developmental English and freshman ESL students made many similar grammatical errors, and to test this hypothesis, a…
Descriptors: College Students, Comparative Analysis, Computer Assisted Testing, English Instruction