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Showing all 11 results Save | Export
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Qiao, Chen; Hu, Xiao – IEEE Transactions on Learning Technologies, 2023
Free text answers to short questions can reflect students' mastery of concepts and their relationships relevant to learning objectives. However, automating the assessment of free text answers has been challenging due to the complexity of natural language. Existing studies often predict the scores of free text answers in a "black box"…
Descriptors: Computer Assisted Testing, Automation, Test Items, Semantics
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Dhini, Bachriah Fatwa; Girsang, Abba Suganda; Sufandi, Unggul Utan; Kurniawati, Heny – Asian Association of Open Universities Journal, 2023
Purpose: The authors constructed an automatic essay scoring (AES) model in a discussion forum where the result was compared with scores given by human evaluators. This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the…
Descriptors: Computer Assisted Testing, Scoring, Writing Evaluation, Essays
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Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
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Jin, Jing; Ke, Sihui – Journal of Psycholinguistic Research, 2021
This study is aimed to re-examine the Interface Hypothesis via investigating the adult L2 acquisition of the word order variation of numeral classifier indefinites at the syntax-semantics and syntax-discourse interfaces in L2 Chinese. A computerized acceptability judgment task was administered to 41 advanced and intermediate adult Korean learners…
Descriptors: Word Order, Second Language Learning, Second Language Instruction, Syntax
Susanti, Yuni; Tokunaga, Takenobu; Nishikawa, Hitoshi; Obari, Hiroyuki – Research and Practice in Technology Enhanced Learning, 2017
The present study investigates the best factor for controlling the item difficulty of multiple-choice English vocabulary questions generated by an automatic question generation system. Three factors are considered for controlling item difficulty: (1) reading passage difficulty, (2) semantic similarity between the correct answer and distractors,…
Descriptors: Test Items, Difficulty Level, Computer Assisted Testing, Vocabulary Development
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Jayashankar, Shailaja; Sridaran, R. – Education and Information Technologies, 2017
Teachers are thrown open to abundance of free text answers which are very daunting to read and evaluate. Automatic assessments of open ended answers have been attempted in the past but none guarantees 100% accuracy. In order to deal with the overload involved in this manual evaluation, a new tool becomes necessary. The unique superlative model…
Descriptors: Word Frequency, Models, Electronic Learning, Student Evaluation
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Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
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Pham, Duc Huu – International Journal of Virtual and Personal Learning Environments, 2019
To help EFL learners realize the use of nominals and clauses in practicing productive skills of academic writing in English writing tests, experiments have been exploited using the tasks similar to those of internet-based test of English as a foreign language to determine the nominal and clause level information during sentence and paragraph…
Descriptors: English (Second Language), Writing Skills, Second Language Learning, Second Language Instruction
Kaplan, Randy M.; Bennett, Randy Elliot – 1994
This study explores the potential for using a computer-based scoring procedure for the formulating-hypotheses (F-H) item. This item type presents a situation and asks the examinee to generate explanations for it. Each explanation is judged right or wrong, and the number of creditable explanations is summed to produce an item score. Scores were…
Descriptors: Automation, Computer Assisted Testing, Correlation, Higher Education
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Clariana, Roy B.; Koul, Ravinder; Salehi, Roya – International Journal of Instructional Media, 2006
This investigation seeks to confirm a computer-based approach that can be used to score concept maps (Poindexter & Clariana, 2004) and then describes the concurrent criterion-related validity of these scores. Participants enrolled in two graduate courses (n=24) were asked to read about and research online the structure and function of the heart…
Descriptors: Semantics, Human Body, Test Validity, Anatomy
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers