Capturing AIS Behavior Using xAPI-like Statements
| Autor: | Zhiqiang Cai, Xiangen Hu, Jeremiah T. Folsom-Kovarik, Cameron Copland, Jody L. Cockroft, Andrew J. Hampton, Arthur C. Graesser |
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| Rok vydání: | 2019 |
| Předmět: |
Scheme (programming language)
Computer science media_common.quotation_subject Learning environment 05 social sciences 050301 education 02 engineering and technology Learning object metadata Learning sciences Metadata Resource (project management) Human–computer interaction 020204 information systems Principles of learning 0202 electrical engineering electronic engineering information engineering Conversation 0503 education computer media_common computer.programming_language |
| Zdroj: | Adaptive Instructional Systems ISBN: 9783030223403 HCI (32) |
| DOI: | 10.1007/978-3-030-22341-0_17 |
| Popis: | In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the learners interact with the learning resources in a given learning environment following preset steps of learning processes. From this foundation, we make several subsequent arguments. (1) All intelligent digital resources such as intelligent tutoring systems (ITS) need to be well-documented with standardized metadata scheme. We propose a learning science extension of IEEE learning object metadata (LOM). specifically, we need to consider cognitive learning principles that have been used in creating the intelligent digital resources. (2) We need to consider AIS as whole when we record system behavior. Specifically, we need to record all four components delineated above (the learners, the resources, the environments, and the processes). We point to selected learning principles from the literature as examples for implementation of this approach. We concretize this approach using AutoTutor, a conversation-based ITS, serving as a typical intelligent digital resource. |
| Databáze: | OpenAIRE |
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