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Crowston, Kevin; Østerlund, Carsten; Lee, Tae Kyoung; Jackson, Corey; Harandi, Mahboobeh; Allen, Sarah; Bahaadini, Sara; Coughlin, Scott; Katsaggelos, Aggelos K.; Larson, Shane L.; Rohani, Neda; Smith, Joshua R.; Trouille, Laura; Zevin, Michael – IEEE Transactions on Learning Technologies, 2020
We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning for training with tasks with uncertain outcomes is…
Descriptors: Citizen Participation, Scientific Research, Man Machine Systems, Training
Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
Rosé, Carolyn P.; McLaughlin, Elizabeth A.; Liu, Ran; Koedinger, Kenneth R. – British Journal of Educational Technology, 2019
Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…
Descriptors: Discovery Learning, Man Machine Systems, Artificial Intelligence, Models
Ramanarayanan, Vikram; Suendermann-Oeft, David; Lange, Patrick; Ivanov, Alexei V.; Evanini, Keelan; Yu, Zhou; Tsuprun, Eugene; Qian, Yao – ETS Research Report Series, 2016
We propose a crowdsourcing-based framework to iteratively and rapidly bootstrap a dialog system from scratch for a new domain. We leverage the open-source modular HALEF dialog system to deploy dialog applications. We illustrate the usefulness of this framework using four different prototype dialog items with applications in the educational domain…
Descriptors: Man Machine Systems, Models, Speech, Educational Technology
Haymes, Tom – Current Issues in Education, 2020
Productive "Third Spaces" are often an afterthought when designing learning environments, both in a physical sense and online. These areas, properly mediated by technology and designed around humans, can often be a key facilitator for student success. The STAC Model is designed to provide a framework for understanding what makes these…
Descriptors: Models, Informal Education, Instructional Design, Technology Uses in Education
Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Bull, Susan; Kay, Judy – International Journal of Artificial Intelligence in Education, 2016
The SMILI? (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was for SMILI? to provide researchers with a systematic way to describe, compare and critique OLMs. We expected it to highlight those areas where there…
Descriptors: Educational Research, Data Collection, Data Analysis, Intelligent Tutoring Systems
Janicki, Thomas N.; Cummings, Jeffrey; Healy, R. Joseph – Information Systems Education Journal, 2015
Individuals have increasing options on retrieving information related to hardware and software. Specific hardware devices include desktops, tablets and smart devices. Also, the number of software applications has significantly increased the user's capability to access data. Software applications include the traditional web site, smart device…
Descriptors: Computer Science Education, Man Machine Systems, Computer Software, Curriculum Development
Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
Chiappini, Giampaolo – International Journal for Technology in Mathematics Education, 2012
Is it possible to study the ergonomic affordances offered by a system designed for educational aims and their transformation into cultural affordances? To this purpose, what references can we adopt? This work describes the theoretical framework used to realise this study referring to AlNuSet, a system realised within the EC ReMath project to…
Descriptors: Human Factors Engineering, Models, Mathematics, Mathematics Instruction
Anderson, Daniel – Kairos: A Journal of Rhetoric, Technology, and Pedagogy, 2010
I'm talking about the ways we represent ourselves and our world. I've put some thoughts on the topic together here--a gathering that enacts new media creating and takes up conceptual layers like metaphors, models, and composing. The primary sources are videos from the Get a Mac campaign, aka I'm a Mac; I'm a PC ads. Posthuman concepts blending…
Descriptors: Figurative Language, Computers, Advertising, Mass Media Effects
Mickens, R. E.; Rucker, S. – International Journal of Mathematical Education in Science and Technology, 2008
A method is presented to calculate accurate approximations to the half-life values of elimination systems modelled by one compartment. The major advantage of this method is that only algebraic mathematical operations are required. The results will be of value not only to students beginning the study of elimination kinetics, but also to…
Descriptors: Computation, Models, Engineering, Kinetics
Green, David; Roy, Michael – EDUCAUSE Review, 2008
What is the current thinking about cyberinfrastructure for the liberal arts, what models for transinstitutional collaboration and institution building are emerging, and what steps can campuses take to move this agenda forward? (Contains 23 notes.)
Descriptors: Liberal Arts, Computer Networks, Internet, Technological Advancement
Beun, Robbert-Jan; van Eijk, Rogier M. – Discourse Processes: A Multidisciplinary Journal, 2007
A computational framework is presented for the generation of elementary speech acts to establish conceptual alignment between a computer system and its user. This article clearly distinguishes between 2 phases of the alignment process: message interpretation and message generation. In the interpretation phase, presuppositions are extracted from…
Descriptors: Speech Acts, Semantics, Computer Assisted Instruction, Man Machine Systems
Peer reviewedAboud, M.; And Others – Information Processing and Management, 1993
Presents an information systems navigation approach using a combination of functionalities encountered in classification processes, Hypertext systems, and information retrieval systems. The first version of the SYRIUS system is described, with emphasis on the user's graphic interface which integrates these functionalities. (26 references) (EA)
Descriptors: Classification, Computer Graphics, Computer System Design, Hypermedia

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