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Showing 1 to 15 of 83 results Save | Export
Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
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Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Digital Promise, 2021
The Powerful Learning with Computational Thinking report explains how the Digital Promise team works with districts, schools, and teachers to make computational thinking ideas more concrete to practitioners for teaching, design, and assessment. We describe three powerful ways of using computers that integrate well with academic subject matter and…
Descriptors: Computation, Thinking Skills, Computer Uses in Education, Data Collection
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McKnight, Lucinda – Changing English: Studies in Culture and Education, 2021
With artificial intelligence (AI) now producing human-quality text in seconds via natural language generation, urgent questions arise about the nature and purpose of the teaching of writing in English. Humans have already been co-composing with digital tools for decades, in the form of spelling and grammar checkers built into word processing…
Descriptors: Robotics, Artificial Intelligence, Writing (Composition), Writing Instruction
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…
Descriptors: Artificial Intelligence, Models, Tutors, Learning Theories
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van Valkenhoef, Gert; Dias, Sofia; Ades, A. E.; Welton, Nicky J. – Research Synthesis Methods, 2016
Network meta-analysis enables the simultaneous synthesis of a network of clinical trials comparing any number of treatments. Potential inconsistencies between estimates of relative treatment effects are an important concern, and several methods to detect inconsistency have been proposed. This paper is concerned with the node-splitting approach,…
Descriptors: Networks, Meta Analysis, Automation, Models
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Gagliardi, R.; Mauri, M.; Polzonetti, A. – Universal Journal of Educational Research, 2016
This presentation illustrates the framework of processing performance of the faculty of the University of Camerino. The evaluation criteria are explained and the technological structure that allows automatic performance assessment available online anywhere and anytime. The designed framework is usually applied to the performance evaluation of…
Descriptors: Foreign Countries, College Faculty, Evaluation Criteria, Automation
Tuomi, Ilkka – European Commission, 2019
This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching, and education. It provides conceptual foundations for well-informed policy-oriented work, research, and forward-looking activities that address the opportunities and challenges created by recent developments in AI.…
Descriptors: Artificial Intelligence, State of the Art Reviews, Educational Practices, Educational Policy
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Gierl, Mark J.; Lai, Hollis – Educational Measurement: Issues and Practice, 2013
Changes to the design and development of our educational assessments are resulting in the unprecedented demand for a large and continuous supply of content-specific test items. One way to address this growing demand is with automatic item generation (AIG). AIG is the process of using item models to generate test items with the aid of computer…
Descriptors: Educational Assessment, Test Items, Automation, Computer Assisted Testing
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Ng, Kelvin H. R.; Hartman, Kevin; Liu, Kai; Khong, Andy W. H. – International Educational Data Mining Society, 2016
During the semester break, 36 second-grade students accessed a set of resources and completed a series of online math activities focused on the application of the model method for arithmetic in two contexts 1) addition/subtraction and 2) multiplication/division. The learning environment first modeled and then supported the use of a scripted series…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Arithmetic, Problem Solving
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McGeary, Bryan James – Public Services Quarterly, 2015
This column contains information on how students in graduate library and information science programs participate in a forum to discuss key issues they see in academic library public services, to envision what they feel librarians in public service have to offer to academia, to state their visions for the profession, or to tell of research that is…
Descriptors: Access to Information, Partnerships in Education, Library Personnel, Academic Libraries
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Burnette, Margaret H. – portal: Libraries and the Academy, 2015
The increasing interdisciplinarity of scientific research creates both challenges and opportunities for librarians. The liaison model may be inadequate for supporting campus research that represents multiple disciplines and geographically dispersed departments. The identification of units, researchers, and projects is a first step in planning and…
Descriptors: Interdisciplinary Approach, Biomedicine, Medical Research, Scientific Research
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Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
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Kwanya, Tom; Stilwell, Christine; Underwood, Peter G. – Journal of Librarianship and Information Science, 2013
Using the "point oh" naming system for developments in librarianship is attracting debate about its appropriateness, basis and syntax and the meaning and potential of Library 2.0. Now a new term, Library 3.0, has emerged. Is there is any significant difference between the two models? Using documentary analysis to explore the terms, the…
Descriptors: Information Networks, Library Automation, Library Development, Library Services
Canty, Adrienne Brown – Computers in Libraries, 2010
In 2008 and 2009, the Edmonton Public Library (EPL), where the author works as an information professional, completed a $6 million CDN (about $5.7 million) RFID conversion project with the installation of automated check-in and sorting equipment at six of its 17 service points. The sorters currently handle about 55% of EPL's system's total…
Descriptors: Public Libraries, Information Scientists, Technological Advancement, Library Automation
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