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Webb, Mary; Tracey, Megan; Harwin, William; Tokatli, Ozan; Hwang, Faustina; Johnson, Ros; Barrett, Natasha; Jones, Chris – Education and Information Technologies, 2022
This paper reports on a study which designed and developed a multi-fingered haptic interface in conjunction with a three-dimensional (3D) virtual model of a section of the cell membrane in order to enable students to work collaboratively to learn cell biology. Furthermore, the study investigated whether the addition of haptic feedback to the 3D…
Descriptors: Computer Simulation, Cooperative Learning, Cytology, Models
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AL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
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Wetzel, Jon; VanLehn, Kurt; Butler, Dillan; Chaudhari, Pradeep; Desai, Avaneesh; Feng, Jingxian; Grover, Sachin; Joiner, Reid; Kong-Sivert, Mackenzie; Patade, Vallabh; Samala, Ritesh; Tiwari, Megha; van de Sande, Brett – Interactive Learning Environments, 2017
This paper describes Dragoon, a simple intelligent tutoring system which teaches the construction of models of dynamic systems. Modelling is one of seven practices dictated in two new sets of educational standards in the U.S.A., and Dragoon is one of the first systems for teaching model construction for dynamic systems. Dragoon can be classified…
Descriptors: Intelligent Tutoring Systems, Models, Computer Interfaces, Comparative Analysis
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Tissenbaum, Mike; Berland, Matthew; Lyons, Leilah – International Journal of Computer-Supported Collaborative Learning, 2017
There is a growing understanding of the unique ways that tabletops support effective collaboration; however, this research mostly focuses on environments in which learners work towards a single shared goal. Underpinning this perspective, either implicitly or explicitly, is the theory that collaborative learning is a process of attaining convergent…
Descriptors: Cooperative Learning, Computer Interfaces, Models, Informal Education
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Moguel, P.; Tchounikine, P.; Tricot, A. – IEEE Transactions on Learning Technologies, 2012
In this paper, we consider collective problem-solving challenges and a particular structuring objective: lead groups of learners to make their shared problem-solving organization explicit. Such an objective may be considered as a way to lead learners to consider building and maintaining a shared organization, and/or as a way to provide a basis for…
Descriptors: Cooperative Learning, Problem Solving, Organization, Computer Uses in Education
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Baghaei, Nilufar; Mitrovic, Antonija; Irwin, Warwick – International Journal of Computer-Supported Collaborative Learning, 2007
We present COLLECT-UML, a constraint-based intelligent tutoring system (ITS) that teaches object-oriented analysis and design using Unified Modelling Language (UML). UML is easily the most popular object-oriented modelling technology in current practice. While teaching how to design UML class diagrams, COLLECT-UML also provides feedback on…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Cooperation, Problem Solving
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Du Plessis, Johan P.; And Others – Computers & Education, 1995
Proposes a model for intelligent computer-aided education systems that is based on cooperative learning, constructive problem-solving, object-oriented programming, interactive user interfaces, and expert system techniques. Future research is discussed, and a prototype for teaching mathematics to 10- to 12-year-old students is appended. (LRW)
Descriptors: Computer Assisted Instruction, Computer Interfaces, Constructivism (Learning), Cooperative Learning
Khan, Badrul, Ed. – Information Science Publishing, 2007
Flexible Learning in an Information Society uses a flexible learning framework to explain the best ways of creating a meaningful learning environment. This framework consists of eight factors--institutional, management, technological, pedagogical, ethical, interface design, resource support, and evaluation--and a systematic understanding of these…
Descriptors: Educational Environment, Learning, Satisfaction, Student Surveys
Verdejo, M. F.; Barros, B.; Abad, M. T. – 1998
This paper describes a computer-supported environment designed to facilitate distance learning through collaborative problem-solving. The goal is to encourage distance learning students to work together, in order to promote both learning of collaboration and learning through collaboration. Collaboration is defined as working together on a common…
Descriptors: Case Method (Teaching Technique), Computer Assisted Instruction, Computer Interfaces, Computer Managed Instruction
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers