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Keith Cochran; Clayton Cohn; Peter Hastings; Noriko Tomuro; Simon Hughes – International Journal of Artificial Intelligence in Education, 2024
To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…
Descriptors: Science Process Skills, Scientific Literacy, Scientific Concepts, Concept Formation
Martin, Kit; Horn, Michael; Wilensky, Uri – Informatics in Education, 2020
This paper introduces constructivist dialogue mapping (CDM), a new type of concept mapping. CDM encodes what people learn during a non-goal directed learning activity. CDM is a practical means to outline the mini theories users fluidly construct as they explore open-ended learning environments. To demonstrate the method, in this paper we use CDM…
Descriptors: Concept Mapping, Constructivism (Learning), Learning Activities, Concept Formation
Martin, Kit; Horn, Michael; Wilensky, Uri – Grantee Submission, 2020
This paper introduces constructivist dialogue mapping (CDM), a new type of concept mapping. CDM encodes what people learn during a non-goal directed learning activity. CDM is a practical means to outline the mini theories users fluidly construct as they explore open-ended learning environments. To demonstrate the method, in this paper we use CDM…
Descriptors: Concept Mapping, Constructivism (Learning), Learning Activities, Concept Formation
Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
Rezat, Sebastian – ZDM: Mathematics Education, 2021
One of the most prevalent features of digital mathematics textbooks, compared to traditional ones, is the provision of automated feedback on students' solutions. Since feedback is regarded as an important factor that influences learning, this is often seen as an affordance of digital mathematics textbooks. While there is a large body of mainly…
Descriptors: Automation, Feedback (Response), Electronic Publishing, Textbooks
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
Tansomboon, Charissa; Gerard, Libby F.; Linn, Marcia – AERA Online Paper Repository, 2017
This study compares two designs of automated guidance for short essays in an online thermodynamics unit. Students are prompted by automated guidance to either "revisit" evidence in a dynamic model prior or to plan "writing" changes prior to revision. In this paper we specifically examine how receiving either type of guidance…
Descriptors: Automation, Guidance, Web Based Instruction, Inquiry
Sheehan, Kathleen M. – ETS Research Report Series, 2016
The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers and other educators select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards (CCSS). This paper provides an overview of the TextEvaluator measurement approach and…
Descriptors: Automation, Evaluation Methods, Reading Material Selection, Common Core State Standards
Kelly, Nick; Thompson, Kate; Yeoman, Pippa – Journal of Learning Analytics, 2015
This paper describes theory-led design as a way of developing novel tools for learning analytics (LA). It focuses upon the domain of automated discourse analysis (ADA) of group learning activities to help an instructor to orchestrate online groups in real-time. The paper outlines the literature on the development of LA tools within the domain of…
Descriptors: Data Analysis, Data Collection, Computer Assisted Instruction, Cooperative Learning
Sherin, Bruce – Journal of the Learning Sciences, 2013
A large body of research in the learning sciences has focused on students' commonsense science knowledge--the everyday knowledge of the natural world that is gained outside of formal instruction. Although researchers studying commonsense science have employed a variety of methods, 1-on-1 clinical interviews have played a unique role. The data…
Descriptors: Informal Education, Computational Linguistics, Transcripts (Written Records), Interviews

Micco, Mary; And Others – Library Software Review, 1987
Provides an interim report on a project whose goal is to provide subject access to the knowledge of mankind at least as well as the skilled reference librarian. Classification and concept formation are discussed in terms of four modules: diagnostics of information-seeking behavior, network interface, subject access, and graphic interface. (EM)
Descriptors: Access to Information, Cognitive Structures, Computer Graphics, Concept Formation