30,899 research outputs found

    Plan-based delivery composition in intelligent tutoring systems for introductory computer programming

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    In a shell system for the generation of intelligent tutoring systems, the instructional model that one applies should be variable independent of the content of instruction. In this article, a taxonomy of content elements is presented in order to define a relatively content-independent instructional planner for introductory programming ITS's; the taxonomy is based on the concepts of programming goals and programming plans. Deliveries may be composed by the instantiation of delivery templates with the content elements. Examples from two different instructional models illustrate the flexibility of this approach. All content in the examples is taken from a course in COMAL-80 turtle graphics

    Personalised correction, feedback, and guidance in an automated tutoring system for skills training

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    In addition to knowledge, in various domains skills are equally important. Active learning and training are effective forms of education. We present an automated skills training system for a database programming environment that promotes procedural knowledge acquisition and skills training. The system provides support features such as correction of solutions, feedback and personalised guidance, similar to interactions with a human tutor. Specifically, we address synchronous feedback and guidance based on personalised assessment. Each of these features is automated and includes a level of personalisation and adaptation. At the core of the system is a pattern-based error classification and correction component that analyses student input

    A hybrid method for the analysis of learner behaviour in active learning environments

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    Software-mediated learning requires adjustments in the teaching and learning process. In particular active learning facilitated through interactive learning software differs from traditional instructor-oriented, classroom-based teaching. We present behaviour analysis techniques for Web-mediated learning. Motivation, acceptance of the learning approach and technology, learning organisation and actual tool usage are aspects of behaviour that require different analysis techniques to be used. A hybrid method based on a combination of survey methods and Web usage mining techniques can provide accurate and comprehensive analysis results. These techniques allow us to evaluate active learning approaches implemented in form of Web tutorials

    An active learning and training environment for database programming

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    Active learning facilitated through interactive, self-controlled learning environments differs substantially from traditional instructor-oriented, classroom-based teaching. We present a tool for database programming that integrates knowledge learning and skills training. How these tools are used most effectively is still an open question. Therefore, we discuss analysis and evaluation of these Web-based environments focusing on different aspects of learning behaviour and tool usage. Motivation, acceptance of the learning approach, learning organisation and actual tool usage are aspects of behaviour that require different techniques to be used

    AISR Connections Fall 2012 (2012-2013 Orientation Issue)

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    Yearly publication of AISR Connections for 2012-2013. Issue includes: Scott Library renovations New library catalog Clinical Resources Support Jefferson Digital Commons The mission of Academic & Instructional Support & Resources (AISR) is to strengthen the educational, research and clinical activities of the Jefferson community by providing knowledge-based information, developing and managing instructional technologies and content, supporting and managing campus classroom technologies, and providing leadership in scholarly communication and publishing

    An Analysis of the Relationship Between 4 Automated Writing Evaluation Software and the Outcomes in the Writing Program Administrator’s “WPA Outcomes for First Year Composition”

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    abstract: My study examined Automated Writing Evaluation tools (AWE) and their role within writing instruction. This examination was framed as a comparison of 4 AWE tools and the different outcomes in the Writing Program Administrators “Outcomes Statement for First Year Composition” (the OS). I also reviewed studies that identify feedback as an effective tool within composition instruction as well as literature related to the growth of AWE and the 2 different ways that these programs are being utilized: to provide scoring and to generate feedback. My research focused on the feedback generating component of AWE and their relationship with helping students to meet the outcomes outlined in the OS. To complete this analysis, I coded the OS, using its outcomes as a reliable indicator of the perspectives of the academic community regarding First Year Composition (FYC). This coding was applied to text associated with two different kinds of feedback related AWEs. Two of the AWE used in this study facilitated human feedback using analytical properties: Writerkey and Eli Review. While the other 2 generated automated feedback: WriteLab and PEG Writing Scholar. I also reviewed instructional documents associated with each AWE and used the coding to compare the features described in each text with the different outcomes in the OS. The most frequently occurring coding from the feedback was related to Rhetorical Knowledge and other outcomes associated with revision, while the most common codes from the instructional documents were associated with feedback and collaboration. My research also revealed none of these AWE were capable of addressing certain outcomes, these were mostly related to activities outside of the actual process of composing, like the act of reading and the various writing mediums.Dissertation/ThesisMasters Thesis Composition 201

    Adaptation “in the Wild”: Ontology-Based Personalization of Open-Corpus Learning Material

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    Abstract. Teacher and students can use WWW as a limitless source of learning material for nearly any subject. Yet, such abundance of content comes with the problem of finding the right piece at the right time. Conventional adaptive educational systems cannot support personalized access to open-corpus learning material as they rely on manually constructed content models. This paper presents an approach to this problem that does not require intervention from a human expert. The approach has been implemented in an adaptive system that recommends students supplementary reading material and adaptively annotates it. The results of the evaluation experiment have demonstrated several significant effects of using the system on students ’ learning

    Informing Writing: The Benefits of Formative Assessment

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    Examines whether classroom-based formative writing assessment - designed to provide students with feedback and modified instruction as needed - improves student writing and how teachers can improve such assessment. Suggests best practices
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