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van der Kooij, Katinka; Smeets, Jeroen B. J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Recently it has been shown that rewarded variability can be used to adapt visuomotor behavior. However, its relevance seems limited because adaptation to binary rewards has been demonstrated only when the same movement is repeated throughout the experiment. We therefore investigated whether the adaptation is action-specific and whether the amount…
Descriptors: Rewards, Psychomotor Skills, Visual Stimuli, Feedback (Response)
Judge, Miriam – Irish Educational Studies, 2021
DALDIS is a three-year EU-funded Erasmus+ Project on Digital Assessment for Learning (2019-2022) involving five European countries. DALDIS is pilot testing a digital assessment for learning solution focused on Science and Modern Foreign Language Learning in years 5-9. Underpinned by the Study Quest technology, which is designed to drive students'…
Descriptors: Foreign Countries, Educational Technology, Computer Assisted Testing, Formative Evaluation
Potter, Andrew; Wilson, Joshua – Educational Technology Research and Development, 2021
Automated Writing Evaluation (AWE) provides automatic writing feedback and scoring to support student writing and revising. The purpose of the present study was to analyze a statewide implementation of an AWE software (n = 114,582) in grades 4-11. The goals of the study were to evaluate: (1) to what extent AWE features were used; (2) if equity and…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Scoring
Gandini, Elena A. M.; Horák, Tania – Language Learning in Higher Education, 2020
This contribution reports on the developing and piloting of a computer-based version of the test of English as a foreign language produced by the University of Central Lancashire (UCLan), where it is currently used for the admission of international students and the subsequent evaluation of their language progress. Among other benefits,…
Descriptors: Computer Assisted Testing, Feedback (Response), Foreign Countries, English (Second Language)
Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
Wang, Zhen; Cao, Yang; Gong, Shaoying – Journal of Educational Computing Research, 2023
Although learner characteristics have been identified as important moderator variables for feedback effectiveness, the question of why learners benefit differently from feedback has only received limited attention. In this study, we investigated: (1) whether learners' dominant goal orientation moderated the effects of computer-based elaborated…
Descriptors: Goal Orientation, Feedback (Response), Cues, Student Characteristics
Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
Stack, Anna; Boitshwarelo, Bopelo; Reedy, Alison; Billany, Trevor; Reedy, Hannah; Sharma, Rajeev; Vemuri, Jyoti – Australasian Journal of Educational Technology, 2020
While research on online tests in higher education is steadily growing, there is little evidence in the literature of the use of learning management systems (LMS), such as Blackboard™, as rich sources of data on online tests practices. This paper reports on an investigation that used data from Blackboard™ LMS to gain insight into the purpose for…
Descriptors: Computer Assisted Testing, Integrated Learning Systems, Higher Education, Business Schools
Mogali, Sreenivasulu Reddy; Rotgans, Jerome I.; Rosby, Lucy; Ferenczi, Michael Alan; Low Beer, Naomi – Anatomical Sciences Education, 2020
Anatomical knowledge is commonly assessed by practical examinations that are often administered in summative format. The format of anatomy practical examination was changed at the Lee Kong Chian School of Medicine in Singapore from summative (graded; must pass) to formative (ungraded; no pass/fail) in academic year (AY) 2017-2018. Both assessment…
Descriptors: Foreign Countries, Summative Evaluation, Formative Evaluation, Anatomy
Vittorini, Pierpaolo; Menini, Stefano; Tonelli, Sara – International Journal of Artificial Intelligence in Education, 2021
Massive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper…
Descriptors: Artificial Intelligence, Formative Evaluation, Summative Evaluation, Data
García-Alberti, Marcos; Suárez, Fernando; Chiyón, Isabel; Mosquera Feijoo, Juan Carlos – Education Sciences, 2021
As a consequence of the global health emergency in early 2020, universities had to tackle a sudden shift in their teaching--learning strategies so that the preset competences could be fulfilled. This study presents the learning outcomes of the implemented tasks, student experiences, and feedback, as well as some reflections from the instructors…
Descriptors: Civil Engineering, Engineering Education, Foreign Countries, COVID-19
Daniels, Paul – TESL-EJ, 2022
This paper compares the speaking scores generated by two online systems that are designed to automatically grade student speech and provide personalized speaking feedback in an EFL context. The first system, "Speech Assessment for Moodle" ("SAM"), is an open-source solution developed by the author that makes use of Google's…
Descriptors: Speech Communication, Auditory Perception, Computer Uses in Education, Computer Assisted Testing
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
Rostaminezhad, Mohammad A. – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Students' perceptions about feedback in e-tests have not been studied using qualitative methods. Therefore, the objective of this study was to investigate the students' attitude towards electronic tests, focusing on the feedback. Background: Despite the advantages of electronic tests, it is one of the neglected technologies in the…
Descriptors: Student Attitudes, Computer Assisted Testing, Feedback (Response), Student Evaluation

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