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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
Lu, Chang; Cutumisu, Maria – International Educational Data Mining Society, 2021
Digitalization and automation of test administration, score reporting, and feedback provision have the potential to benefit large-scale and formative assessments. Many studies on automated essay scoring (AES) and feedback generation systems were published in the last decade, but few connected AES and feedback generation within a unified framework.…
Descriptors: Learning Processes, Automation, Computer Assisted Testing, Scoring
Haro, Juan; Comesaña, Montserrat; Ferré, Pilar – Journal of Psycholinguistic Research, 2019
The present study explores the issue of why ambiguous words are recognized faster than unambiguous ones during word recognition. To this end we contrasted two different hypotheses: the "semantic feedback" hypothesis (Hino and Lupker in J Exp Psychol Hum Percept Perform 22:1331-1356, 1996. https://doi.org/10.1037/0096-1523.22.6.1331), and…
Descriptors: Language Processing, Psycholinguistics, Word Recognition, Ambiguity (Semantics)
Zhao, Helen; Huang, Shuting; Zhou, Yacong; Wang, Ruiming – Studies in Second Language Acquisition, 2020
In the current study of applied cognitive linguistics (CL), schematic diagrams that represent generalizations of physical-spatial experience were applied in a computer-based tutor that trained English prepositions for second language (L2) learners. Behavioral and electrophysiological (ERP) measures were used to examine whether schematic-diagram…
Descriptors: Second Language Learning, English (Second Language), Applied Linguistics, Schemata (Cognition)
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie N.; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…
Descriptors: Computational Linguistics, Feedback (Response), Classification, Learning Processes
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…
Descriptors: Phrase Structure, Networks, Semantics, Feedback (Response)
Nowbakht, Mohammad; Olive, Thierry – Written Communication, 2021
This study examined the role of error-type and working memory (WM) in the effectiveness of direct-metalinguistic and indirect written corrective feedback (WCF) on self error-correction in first-language writing. Fifty-one French first-year psychology students volunteered to participate in the experiment. They carried out a first-language…
Descriptors: Short Term Memory, Feedback (Response), Error Correction, Foreign Countries
Dracos, Melisa; Henry, Nick – Foreign Language Annals, 2018
The acquisition of verbal morphology presents challenges for many second language (L2) learners, in part because they do not readily process those forms during sentence comprehension. Instead, L2 learners rely on lexical-semantic cues (e.g., temporal adverbs and explicit subjects). This study investigated the role of task-essential training in…
Descriptors: Task Analysis, Language Processing, Spanish, Second Language Learning
Crossley, Scott A.; Kyle, Kristopher; McNamara, Danielle S. – Grantee Submission, 2015
This study investigates the relative efficacy of using linguistic micro-features, the aggregation of such features, and a combination of micro-features and aggregated features in developing automatic essay scoring (AES) models. Although the use of aggregated features is widespread in AES systems (e.g., e-rater; Intellimetric), very little…
Descriptors: Essays, Scoring, Feedback (Response), Writing Evaluation
Gorp, Karly; Segers, Eliane; Verhoeven, Ludo – Reading Research Quarterly, 2017
The effects of a word identification game aimed at enhancing decoding efficiency in poor readers were tested. Following a pretest-posttest-retention design with a waiting control group, 62 poor-reading Dutch second graders received a five-hour tablet intervention across a period of five weeks. During the intervention, participants practiced…
Descriptors: Decoding (Reading), Word Recognition, Reading Difficulties, Educational Games
Damhuis, Carmen M. P.; Segers, Eliane; Scheltinga, Femke; Verhoeven, Ludo – School Effectiveness and School Improvement, 2016
We examined the effects of adaptive word retrieval intervention on a classroom vocabulary program on children's vocabulary acquisition in kindergarten. In the experimental condition, word retrieval was provided in a classroom vocabulary program, combining implicit and explicit vocabulary instructions. Children performed extra word retrieval…
Descriptors: Intervention, Vocabulary Development, Feedback (Response), Control Groups
Farrus, Mireia; Costa-jussa, Marta R. – International Review of Research in Open and Distance Learning, 2013
Assessment in education allows for obtaining, organizing, and presenting information about how much and how well the student is learning. The current paper aims at analysing and discussing some of the most state-of-the-art assessment systems in education. Later, this work presents a specific use case developed for the Universitat Oberta de…
Descriptors: Semantics, Electronic Learning, Feedback (Response), Evaluation
McNamara, Danielle S.; Crossley, Scott A.; Roscoe, Rod – Grantee Submission, 2013
The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Writing Instruction, Feedback (Response)
Roscoe, Rod D.; Varner, Laura K.; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2013
Various computer tools have been developed to support educators' assessment of student writing, including automated essay scoring and automated writing evaluation systems. Research demonstrates that these systems exhibit relatively high scoring accuracy but uncertain instructional efficacy. Students' writing proficiency does not necessarily…
Descriptors: Writing Instruction, Intelligent Tutoring Systems, Computer Assisted Testing, Writing Evaluation
Hanly, Sarah; Vandenberg, Brian – Journal of Learning Disabilities, 2010
Tip-of-the-tongue (TOT) responses on a picture-naming task were used to test the hypothesis that dyslexia involves phonological, but not semantic, processing deficits. Participants included 16 children with dyslexia and 31 control children between 8 and 10 years of age who did not differ in receptive vocabulary. As hypothesized, children with…
Descriptors: Semantics, Dyslexia, Tests, Semiotics
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