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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
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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
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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
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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
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Sigut, Jose; Castro, Miguel; Arnay, Rafael; Sigut, Marta – IEEE Transactions on Education, 2020
Contribution: Open Source Computer Vision Library (OpenCV) Basics is an application designed with the purpose of facilitating the initiation of industrial engineering students in the field of Computer Vision, making the learning process easier, more dynamic and more direct. To this end, an application has been developed for the Android operating…
Descriptors: Handheld Devices, Telecommunications, Computer Oriented Programs, Teaching Methods
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Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine; Litman, Diane; Rahimi, Zahra; Kisa, Zahid – Reading Research Quarterly, 2020
Despite the importance of analytic text-based writing, relatively little is known about how to teach to this important skill. A persistent barrier to conducting research that would provide insight on best practices for teaching this form of writing is a lack of outcome measures that assess students' analytic text-based writing development and that…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Scoring
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Sari, Elif; Han, Turgay – Reading Matrix: An International Online Journal, 2021
Providing both effective feedback applications and reliable assessment practices are two central issues in ESL/EFL writing instruction contexts. Giving individual feedback is very difficult in crowded classes as it requires a great amount of time and effort for instructors. Moreover, instructors likely employ inconsistent assessment procedures,…
Descriptors: Automation, Writing Evaluation, Artificial Intelligence, Natural Language Processing
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Hassan, Robert – Educational Philosophy and Theory, 2021
Pervasive digitality reveals us as analogue creatures that are unprepared for a world and a logic generated increasingly through automation. Promulgated by capitalism, digitality has created a new form of alienation, one far more powerful and comprehensive than that envisaged by either Marx or Lukács in the analogue-industrial age. Digital…
Descriptors: Social Systems, Automation, Information Technology, Alienation
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Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Ruiqi Shen – ProQuest LLC, 2021
With the large demand for technology workers all around the world, more people are learning programming. Studies show that human tutoring is the most effective way to learn for novice programmers. However, problems such as the inaccessibility to physical classes, prohibitive costs, and the lack of educators may limit students' opportunities to…
Descriptors: MOOCs, Online Systems, Interactive Video, Computer Assisted Instruction
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
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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
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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)
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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
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