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Khiat, Henry – Active Learning in Higher Education, 2022
Effective time management is essential for us all, whether students or anyone else. There are many factors which affect how well students manage their time and in what ways. As with everything, some are excellent at managing their time and others are not. As faculty, we can assist our learners to better manage their time, whether this is in the…
Descriptors: Time Management, Automation, Self Control, Learning Strategies
Matsuda, Noboru; Wood, Jesse; Shrivastava, Raj; Shimmei, Machi; Bier, Norman – Journal of Educational Data Mining, 2022
A model that maps the requisite skills, or knowledge components, to the contents of an online course is necessary to implement many adaptive learning technologies. However, developing a skill model and tagging courseware contents with individual skills can be expensive and error prone. We propose a technology to automatically identify latent…
Descriptors: Skills, Models, Identification, Courseware
Frana, Philip L. – Honors in Practice, 2022
An interdisciplinary honors course titled "Minds, Machines, and Meaning" incorporates the notion of the algorithmic imaginary, which explains how people make use of algorithms to create new information infrastructures and communities and how these algorithms shape us in turn. Describing a culminating writing assignment in speculative…
Descriptors: Honors Curriculum, Interdisciplinary Approach, Mathematics, Writing Assignments
Francine Bard Fabricant – ProQuest LLC, 2022
This exploratory case study examined how and if career counselors learned about the impact of automation and artificial intelligence (AI) on occupations, including which actions, activities, and conditions helped or hindered their learning, and what impact this learning had on their professional practice. The data included questionnaires and…
Descriptors: Career Counseling, Counselors, Automation, Artificial Intelligence
Ariely, Moriah; Nazaretsky, Tanya; Alexandron, Giora – International Journal of Artificial Intelligence in Education, 2023
Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…
Descriptors: Artificial Intelligence, Algorithms, Natural Language Processing, Hebrew
Portugal, David; Faria, José N.; Belk, Marios; Martins, Pedro; Constantinides, Argyris; Pietron, Anna; Pitsillides, Andreas; Avouris, Nikolaos; Fidas, Christos A. – Smart Learning Environments, 2023
The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guarantee the authenticity of the enrolled student, which…
Descriptors: Identification, Distance Education, College Students, COVID-19
Wang, Heqiao; Troia, Gary A. – Written Communication, 2023
The primary purpose of this study is to investigate the degree to which register knowledge, register-specific motivation, and diverse linguistic features are predictive of human judgment of writing quality in three registers--narrative, informative, and opinion. The secondary purpose is to compare the evaluation metrics of register-partitioned…
Descriptors: Writing Evaluation, Essays, Elementary School Students, Grade 4
Malakul, Sivakorn; Park, Innwoo – Smart Learning Environments, 2023
While subtitles are considered a primary learning support tool for people who cannot understand video narration in foreign languages, recent advancements in artificial intelligence (AI) technologies have played a pivotal role in automatic subtitling on online video platforms such as YouTube. This study examines the effects of three different types…
Descriptors: Captions, Automation, Video Technology, Secondary School Students
Richards, Bryant; Kolodziejczak, Nicholas; Mentzer, Kevin; Calnan, Kerry – Information Systems Education Journal, 2023
Organizations are keenly interested in employees trained in business analysis and robotic process automation. This is because those methods are growing in demand for improving efficiency in business processes. Business students exiting college must understand how to map out business processes and implement automation fundamentals to be competitive…
Descriptors: Robotics, Business Administration Education, Automation, Employment Potential
Alexander J. Norquist; Gabriel Jones-Thomson; Keqing He; Thomas Egg; Joshua Schrier – Journal of Chemical Education, 2023
Laboratory automation and data science are valuable new skills for all chemists, but most pedagogical activities involving automation to date have focused on upper-level coursework. Herein, we describe a combined computational and experimental lab suitable for a first-year undergraduate general chemistry course, in which these topics are…
Descriptors: Laboratory Experiments, Measurement Techniques, Chemistry, Science Instruction
Donnette Narine; Takashi Yamashita; Runcie C. W. Chidebe; Phyllis A. Cummins; Jenna W. Kramer; Rita Karam – Grantee Submission, 2023
Job automation is a topical issue in a technology-driven labor market. However, greater amounts of human capital (e.g., often measured by education, and information-processing skills, including adult literacy) are linked with job security. A knowledgeable and skilled labor force better resists unemployment and/or rebounds from job disruption…
Descriptors: Human Capital, Automation, Job Security, Labor Force Development
Chau, Hung; Labutov, Igor; Thaker, Khushboo; He, Daqing; Brusilovsky, Peter – International Journal of Artificial Intelligence in Education, 2021
The increasing popularity of digital textbooks as a new learning media has resulted in a growing interest in developing a new generation of "adaptive textbooks" that can help readers to learn better through adapting to the readers' learning goals and the current state of knowledge. These adaptive textbooks are most frequently powered by…
Descriptors: Automation, Textbooks, Computer Uses in Education, Artificial Intelligence
Beseiso, Majdi; Alzubi, Omar A.; Rashaideh, Hasan – Journal of Computing in Higher Education, 2021
E-learning is gradually gaining prominence in higher education, with universities enlarging provision and more students getting enrolled. The effectiveness of automated essay scoring (AES) is thus holding a strong appeal to universities for managing an increasing learning interest and reducing costs associated with human raters. The growth in…
Descriptors: Automation, Scoring, Essays, Writing Tests
Motz, Benjamin A.; Mallon, Matthew G.; Quick, Joshua D. – IEEE Transactions on Learning Technologies, 2021
As institutions of higher education increasingly utilize online learning management systems, college students are asked to submit more assignments online. Under this regime, when most assignments are posted and submitted online, it is possible to know if a student is missing a submission for an imminent deadline, and to intervene proactively to…
Descriptors: Automation, Assignments, Cues, Time Management
Navarro Jover, José Manuel – Journal of Technology and Science Education, 2021
This study was carried out on first-year engineering students in the subject of technical drawing, an eminently practical subject that requires the continuous development of spatial vision and also that students should devote time and effort to it from the very beginning. For the study we designed an auto-feedback activity to be applied to the…
Descriptors: Automation, Feedback (Response), Academic Achievement, College Freshmen

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