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Chen, Jing; Fife, James H.; Bejar, Isaac I.; Rupp, André A. – ETS Research Report Series, 2016
The "e-rater"® automated scoring engine used at Educational Testing Service (ETS) scores the writing quality of essays. In the current practice, e-rater scores are generated via a multiple linear regression (MLR) model as a linear combination of various features evaluated for each essay and human scores as the outcome variable. This…
Descriptors: Scoring, Models, Artificial Intelligence, Automation
Ke, Xiaohua; Zeng, Yongqiang; Luo, Haijiao – Journal of Educational Measurement, 2016
This article presents a novel method, the Complex Dynamics Essay Scorer (CDES), for automated essay scoring using complex network features. Texts produced by college students in China were represented as scale-free networks (e.g., a word adjacency model) from which typical network features, such as the in-/out-degrees, clustering coefficient (CC),…
Descriptors: Scoring, Automation, Essays, Networks
Cai, Zhiqiang; Li, Hiyiang; Hu, Xiangen; Graesser, Art – Grantee Submission, 2016
This paper provides an alternative way of document representation by treating topic probabilities as a vector representation for words and representing a document as a combination of the word vectors. A comparison on summary data shows that this representation is more effective in document classification. [This paper was published in:…
Descriptors: Probability, Natural Language Processing, Models, Automation
Bhartiya, Divyanshu; Contractor, Danish; Biswas, Sovan; Senjupta, Bikram; Mohania, Mukesh – International Educational Data Mining Society, 2016
Teaching in formal academic environments typically follows a curriculum that specifies learning objectives that need to be met at each phase of a student's academic progression. In this paper, we address the novel task of identifying document "segments" in educational material that are relevant for different learning objectives. Using a…
Descriptors: Behavioral Objectives, Instructional Materials, Computer Uses in Education, Classification
Chaplot, Devendra Singh; Yang, Yiming; Carbonell, Jaime; Koedinger, Kenneth R. – International Educational Data Mining Society, 2016
With the growing popularity of MOOCs and sharp trend of digitalizing education, there is a huge amount of free digital educational material on the web along with the activity logs of large number of participating students. However, this data is largely unstructured and there is hardly any information about the relationship between material from…
Descriptors: Graphs, Automation, Instructional Materials, Data
Sharma, Arjun; Biswas, Arijit; Gandhi, Ankit; Patil, Sonal; Deshmukh, Om – International Educational Data Mining Society, 2016
Online educational videos have emerged as one of the most popular modes of learning in the recent years. Studies have shown that liveliness is highly correlated to engagement in educational videos. While previous work has focused on feature engineering to estimate liveliness and that too using only the acoustic information, in this paper we…
Descriptors: Video Technology, Audiovisual Aids, Artificial Intelligence, Prediction
Lei Tang – ProQuest LLC, 2018
The software industry spends a tremendous amount of effort and resources on software testing and maintenance to improve the quality of software. However, a large portion of the cost may be saved by training high-quality software developers with better Computer Science education. Skilled software developers can not only produce code of fewer bugs…
Descriptors: Computer Science, Computer Science Education, Introductory Courses, Programming
European Training Foundation, 2021
This study focuses on the agri-food sector in Morocco and 'drivers' of change for skills. It alerts education and training institutions to prepare workers for the jobs of the future. The Moroccan society and economy depend heavily on agriculture production, employing around one third of the population and accounting for around 12% of GDP over the…
Descriptors: Foreign Countries, Agriculture, Vocational Education, Agricultural Production
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Ni, Chuanbin; Xiao, Wei – Computer Assisted Language Learning, 2019
Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Automation
Diachenko, Alla V.; Morgunov, Boris P.; Melnyk, Tetiana P.; Kravchenko, Olena I.; Zubchenko, Ludmila V. – International Journal of Higher Education, 2019
The "purpose" of this study was to find out how students and teachers perceive the automation of the specialists' professional training process and the impact factors of perceiving the learning activity of such kind by students and faculty. The experimental model of automated learning was based on an express course in the academic…
Descriptors: Automation, Teacher Attitudes, Student Attitudes, Legal Education (Professions)
Martínez-Huertas, José Á.; Jastrzebska, Olga; Olmos, Ricardo; León, José A. – Assessment & Evaluation in Higher Education, 2019
Automated summary evaluation is proposed as an alternative to rubrics and multiple-choice tests in knowledge assessment. Inbuilt rubric is a recent Latent Semantic Analysis (LSA) method that implements rubrics in an artificially-generated semantic space. It was compared with classical LSA's cosine-based methods assessing knowledge in a…
Descriptors: Automation, Scoring Rubrics, Alternative Assessment, Test Reliability
Popper, Rafael; Loikkanen, Torsti – European Training Foundation, 2019
This ETF Issues Paper on the Future of Work and Skills is the first attempt to collect and analyse existing information and data on the skills demands of the future in ETF partner countries, and to explore responses for better managing the transition (transformation) towards an inclusive future for the benefit of individuals and societies. Thus,…
Descriptors: Foreign Countries, Job Skills, Economic Factors, Employment
Varghese, Femina P.; Nolan, Jon; Ali, Saba Rasheed; Anderson, Evan; Southerland, Ryan – Journal of Career Development, 2020
Vocational psychologists have predicted the utilization of telepsychology in career interventions, yet vocational research have not capitalized on this modality. The purpose of this article is to describe how telepsychology could be used effectively in vocational psychology research to expand the reach and application of the field's scholarship to…
Descriptors: Industrial Psychology, Career Counseling, Computer Mediated Communication, Ethics
Ibrahim Aydin; Vahide Bulut – Journal of Educational Technology and Online Learning, 2024
The purpose of this study is to provide students with a 21st century training that can be easily applied to industrial automation training, both online and in person, and that goes beyond traditional learning methods. It involves creating and programming a training package that is compatible with the Ministry of National Education (MEB)…
Descriptors: Active Learning, Student Projects, Industrial Education, Manufacturing Industry
Ferguson, Yoko Inagi; Riley-Reid, Trevar – Journal of Access Services, 2017
Recently, The City College of New York (CCNY) libraries engaged in a collaborative project to transfer the bibliographic holdings for textbook course reserves to a new module when their integrated library systems, the Ex Libris Aleph Integrated Library System, underwent a system upgrade. In this article, the Chief of Circulation and the Chief of…
Descriptors: College Libraries, Urban Schools, Textbooks, Information Systems

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