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Aitken, Adam; Thompson, Darrall G. – International Journal of Technology and Design Education, 2018
First year undergraduate design students have found difficulties in realising the standards expected for academic writing at university level. An assessment initiative was used to engage students with criteria and standards for a core interdisciplinary design subject notable for its demanding assessment of academic writing. The same graduate…
Descriptors: Undergraduate Students, Design, Assignments, Computer Software
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Linlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
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Yarahmadzehi, Nahid; Goodarzi, Mostafa – Turkish Online Journal of Distance Education, 2020
Throughout this study technology and especially mobile phones was utilized in EFL classrooms in order to see whether it can influence the process of vocabulary formative assessment and consequently improve vocabulary learning of Iranian pre-intermediate EFL learners or not. Two groups of pre-intermediate EFL learners participated in this study.…
Descriptors: Formative Evaluation, Computer Assisted Testing, Vocabulary Development, English (Second Language)
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Çekiç, Ahmet; Bakla, Arif – International Online Journal of Education and Teaching, 2021
The Internet and the software stores for mobile devices come with a huge number of digital tools for any task, and those intended for digital formative assessment (DFA) have burgeoned exponentially in the last decade. These tools vary in terms of their functionality, pedagogical quality, cost, operating systems and so forth. Teachers and learners…
Descriptors: Formative Evaluation, Futures (of Society), Computer Assisted Testing, Guidance
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Feifei Han; Zehua Wang – OTESSA Conference Proceedings, 2021
This study compared the effects of teacher feedback (TF) and online automated feedback (AF) on the quality of revision of English writing. It also examined the strengths and weaknesses of the two types of feedback perceived by English language learners (ELLs) as a foreign language (FL). Sixty-eight Chinese students from two English classes…
Descriptors: Comparative Analysis, Feedback (Response), English (Second Language), Second Language Instruction
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von Wangenheim, Christiane Gresse; Hauck, Jean C. R.; Demetrio, Matheus Faustino; Pelle, Rafael; da Cruz Alves, Nathalia; Barbosa, Heliziane; Azevedo, Luiz Felipe – Informatics in Education, 2018
The development of computational thinking is a major topic in K-12 education. Many of these experiences focus on teaching programming using block-based languages. As part of these activities, it is important for students to receive feedback on their assignments. Yet, in practice it may be difficult to provide personalized, objective and consistent…
Descriptors: Programming Languages, Programming, Grading, Outcome Measures
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Amasha, Mohamed A.; Abougalala, Rania A.; Reeves, Ahmad J.; Alkhalaf, Salem – Education and Information Technologies, 2018
The main purpose of this study is to investigate the effects of integration of online learning and assessment in synchronization form (OLASF) on students' learning performance. The study seeks to evaluate how the synchronization content with immediate assessment can affect the knowledge performance of the students. An experimental design with…
Descriptors: Online Courses, Computer Assisted Testing, Course Content, Academic Achievement
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Alessio, Helaine M.; Malay, Nancy; Maurer, Karsten; Bailer, A. John; Rubin, Beth – Online Learning, 2017
Online education continues to grow, bringing opportunities and challenges for students and instructors. One challenge is the perception that academic integrity associated with online tests is compromised due to undetected cheating that yields artificially higher grades. To address these concerns, proctoring software has been developed to address…
Descriptors: Supervision, Scores, Computer Assisted Testing, Undergraduate Students
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Confrey, Jere; Shah, Meetal; Persson, Jennifer; Ciliano, Dagmara – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
This paper reports on a design-based implementation study of the use of a diagnostic classroom assessment tool framed on learning trajectories (LTs) for middle grades mathematics, where teachers and students are provided immediate data on students' progress along LTs. The study answers the question: "How can one characterize the challenges…
Descriptors: Middle School Students, Mathematics Instruction, Barriers, Diagnostic Tests
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Aybek, Eren Can; Demirtasli, R. Nukhet – International Journal of Research in Education and Science, 2017
This article aims to provide a theoretical framework for computerized adaptive tests (CAT) and item response theory models for polytomous items. Besides that, it aims to introduce the simulation and live CAT software to the related researchers. Computerized adaptive test algorithm, assumptions of item response theory models, nominal response…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Test Items
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François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing
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Forsyth, Carol M.; Luce, Christine; Zapata-Rivera, Diego; Jackson, G. Tanner; Evanini, Keelan; So, Youngsoon – Computer Assisted Language Learning, 2019
This study investigated a new conversation-based assessment for English language learners. In this assessment, students converse with animated agents in natural language conversations to assess various aspects of English language learning. In a between subjects design, 31 students (N = 31) were asked questions by either the newly created system or…
Descriptors: English Language Learners, English (Second Language), Second Language Learning, Formative Evaluation
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Luzius, Michael – Distance Learning, 2020
Adaptive learning is a computerized learning environment in which software evaluates how well students learn course content. Students read textual materials, view videos and listen to audio files. The software then creates an individualized learning path for the student based on how well they perform in quizzes embedded in their lessons. As such,…
Descriptors: Computer Assisted Instruction, Individualized Instruction, Economics Education, Computer Software
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Halim, Mohd Shakir Azfar Abdul; Hashim, Harwati; Yunus, Melor Md – Journal of Education and e-Learning Research, 2020
Some scholars believe that the English proficiency and literacy level among the pupils in this country is deteriorating alarmingly and to overcome this issue, many measures have been taken by the government. Research showed that this issue could be caused by lack of motivation among learners to use English in their lives. This study examined…
Descriptors: Student Motivation, English (Second Language), Second Language Learning, Second Language Instruction
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Kim, Kerry J.; Meir, Eli; Pope, Denise S.; Wendel, Daniel – Journal of Educational Data Mining, 2017
Computerized classification of student answers offers the possibility of instant feedback and improved learning. Open response (OR) questions provide greater insight into student thinking and understanding than more constrained multiple choice (MC) questions, but development of automated classifiers is more difficult, often requiring training a…
Descriptors: Classification, Computer Assisted Testing, Multiple Choice Tests, Test Format
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