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Long Li; Mira Kim – Australasian Journal of Educational Technology, 2024
This paper explores international students' engagement with educational technology for self-regulated English learning at an Australian university. Despite the increased use of automated feedback systems (AFSs) for language assessment, students' critical engagement with them for independent learning remains under-researched. The study primarily…
Descriptors: Feedback (Response), Automation, English Language Learners, English (Second Language)
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van Pletzen, Ermien; Sithaldeen, Riashna; Fontaine-Rainen, Danny; Bam, Megan; Lee Shong, Carmelita; Charitar, Deepti; Dlulani, Simphiwe; Pettus, Juanitill; Sebothoma, Dimakatso – Journal of Student Affairs in Africa, 2021
Academic advising is a High-Impact Practice that supports better outcomes for all students, particularly those encountering structural barriers to success. This paper presents a case study of processes followed in a three-year project (2018-20) at the University of Cape Town (UCT) to conceptualise, design, and start implementing an academic…
Descriptors: Academic Advising, Program Implementation, Universities, Foreign Countries
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Petchprasert, Anongnad – Asian-Pacific Journal of Second and Foreign Language Education, 2021
Recently, the integration of linguistics and technology has been promoted and widely used in the field of linguistics and English writing research for several purposes. One of those purposes is to evaluate English as a Foreign Language (EFL) writing ability by using electronic assessment tools. In the current study, an automated writing evaluation…
Descriptors: Undergraduate Students, Second Language Instruction, Second Language Learning, English (Second Language)
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Gallagher, Michael; Breines, Markus – Learning, Media and Technology, 2021
Automation is becoming increasingly common in higher education. This is generally posed around accepting large number of students while seeking to keep faculty numbers static and casualising an already fragmented academic labour market. Much of this automation is positioned around perceived gains (efficiency, time, cost) and learning…
Descriptors: Higher Education, Automation, Educational Technology, Technology Uses in Education
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Kazim, Emre; Koshiyama, Adriano Soares; Hilliard, Airlie; Polle, Roseline – Journal of Intelligence, 2021
Business psychologists study and assess relevant individual differences, such as intelligence and personality, in the context of work. Such studies have informed the development of artificial intelligence systems (AI) designed to measure individual differences. This has been capitalized on by companies who have developed AI-driven recruitment…
Descriptors: Psychology, Individual Differences, Artificial Intelligence, Intelligence
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Yang, Fan; Lai, Veronica; Legard, Kea; Kozdras, Stephanie; Prieto, Paloma L.; Grunert, Shad; Hein, Jason E. – Journal of Chemical Education, 2021
Teaching laboratories are designed to educate students on basic theories and techniques through guided laboratory experiments. As advances in automation revolutionize research chemistry laboratories, teaching tools can advance to reflect these changes. In this study, we integrated several programmable instruments, including automated pumps for…
Descriptors: Science Instruction, Science Laboratories, Chemistry, Laboratory Equipment
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Akhmetshin, Elvir Munirovich; Kozachek, Artemiy Vladimirovich; Vasilev, Vladimir Lvovich; Meshkova, Galina Vladimirovna; Mikhailova, Maria Vladimirovna – Digital Education Review, 2021
Currently, special attention is paid to the development of digital technologies. In the context of the pandemic, the remote, distance, digital format of work has become top requested. Those events coincided with the general trend towards total digitalization of all spheres of life, including education. New concepts have emerged and taken hold -…
Descriptors: Virtual Universities, Educational Development, Organizational Change, Technology Uses in Education
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Yang, Albert C. M.; Chen, Irene Y. L.; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Reviewing learned knowledge is critical in the learning process. Testing the learning content instead of restudying, which is known as the testing effect, has been demonstrated to be an effective review strategy. However, education research recommends that instructors generate practice tests, but this burdens teachers and may also hinder teaching…
Descriptors: Cloze Procedure, Reading Comprehension, Reading Skills, Reading Improvement
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Clark, Tony; Endres, Heidi – Assessment in Education: Principles, Policy & Practice, 2021
An effective diagnostic test can play a key role in language learning, allowing strengths and weaknesses in students' linguistic development to be identified and addressed. This paper describes the online Cambridge English diagnostic test, assessing English grammatical knowledge at A2 level. As most language tests focus on proficiency or…
Descriptors: Diagnostic Tests, High School Students, Computer Assisted Testing, Grammar
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Mwambe, Othmar Othmar; Tan, Phan Xuan; Kamioka, Eiji – Education Sciences, 2021
As intelligent systems demand for human-automation interaction increases, the need for learners' cognitive traits adaptation in adaptive educational hypermedia systems (AEHS) has dramatically increased. AEHS utilize learners' cognitive processes to attain fair human-automation interaction for their adaptive processes. However, obtaining accurate…
Descriptors: Eye Movements, Man Machine Systems, Interaction, Automation
Mozer, Reagan; Miratrixy, Luke; Relyea, Jackie Eunjung; Kim, James S. – Annenberg Institute for School Reform at Brown University, 2021
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Automation, Data Analysis, Natural Language Processing
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Fonseca, Samuel C.; Pereira, Filipe Dwan; Oliveira, Elaine H. T.; Oliveira, David B. F.; Carvalho, Leandro S. G.; Cristea, Alexandra I. – International Educational Data Mining Society, 2020
As programming must be learned by doing, introductory programming course learners need to solve many problems, e.g., on systems such as 'Online Judges'. However, as such courses are often compulsory for non-Computer Science (nonCS) undergraduates, this may cause difficulties to learners that do not have the typical intrinsic motivation for…
Descriptors: Programming, Introductory Courses, Computer Science Education, Automation
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Mu, Tong; Jetten, Andrea; Brunskill, Emma – International Educational Data Mining Society, 2020
In some computerized educational systems, there is evidence of students "wheel-spinning," where a student tries and repeatedly fails at an educational task for learning a skill. This may be particularly concerning in low resource settings. Prior research has focused on predicting and modeling wheel-spinning, but there has been little…
Descriptors: Computer Uses in Education, Artificial Intelligence, Academic Failure, Automation
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Cheng, Gary – Interactive Learning Environments, 2022
This study aimed to investigate the impact of using an automated tracking system on the writing performance of English as Foreign Language (EFL) students in a 13-week academic writing course. Sixty-eight first year university students participated in the study. They received the same instruction on academic writing and were allocated to one of two…
Descriptors: Automation, Writing Skills, English (Second Language), Second Language Instruction
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Zhang, Mo; Sinharay, Sandip – International Journal of Testing, 2022
This article demonstrates how recent advances in technology allow fine-grained analyses of candidate-produced essays, thus providing a deeper insight on writing performance. We examined how essay features, automatically extracted using natural language processing and keystroke logging techniques, can predict various performance measures using data…
Descriptors: At Risk Persons, Writing Achievement, Educational Technology, Writing Improvement
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