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Vachharajani, Vinay; Pareek, Jyoti – International Journal of Distance Education Technologies, 2019
E-learning plays a significant role in educating large number of students. In the delivery of e-learning material, automatic e-assessment has been applied only to some extent in the case of free response answers in highly technical diagrams in domains like software engineering, electronics, etc., where there is a great scope of imagination and…
Descriptors: Automation, Visual Aids, Student Evaluation, Undergraduate Students
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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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Kolog, Emmanuel Awuni; Montero, Calkin Suero – Education and Information Technologies, 2018
Emotions are a core semantic component of human communication. Since counsellors are humans we assume that their own state of emotions could affect their intuitional effort when taking decisions concerning their clients. Therefore, the accuracy of detected emotions by counsellors could be doubtful. And this highlights the need for complementing…
Descriptors: Emotional Response, Counselor Characteristics, Influences, Correlation
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González, Isaías; Calderón, Antonio José – Education Sciences, 2018
New paradigms such as the Industry 4.0, the Industrial Internet of Things (IIoT), or industrial cyber-physical systems (ICPSs) have been impacting the manufacturing environment in recent years. Nevertheless, these challenging concepts are also being faced from the educational field: Engineering students must acquire knowledge and skills under the…
Descriptors: Engineering Education, Manufacturing, Student Projects, Foreign Countries
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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
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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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