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Exploring the use of web-based learning tools in secondary school classrooms

INTERACTIVE learning ENVIRONMENTS 2014年第1期22卷 67-83页

作者： Kay, Robin Univ Ontario Inst Technol Fac Educ Oshawa ON L1H 7L7 Canada

This study explored the impact of web-based learning tools )WBLTs), also known as learning objects, in secondary school mathematics and science classrooms. Surveys, open-ended questions, and student performance data were collected from a sample of 8 teachers and 333 students. Teachers rated the learning benefits, quality, and engagement value of WBLTs very high. Students rated these same features moderately high. Student performance with respect to remembering, understanding, applying, and analyzing concepts increased significantly )28-53%) when WBLTs were used. Qualitative data suggested that a number of students reacted positively to the following qualities of WBLTs: visual supports, learning benefits, ease of use, animations, graphics, and engagement. Some students were concerned about pace )too fast), challenge level )too hard), and the quality of help features when using WBLTs. Overall, it appears that the WBLTs used in this study had a positive impact on teacher and student attitudes, as well as student learning performance.

关键词： evaluate assess quality scale effect middle school WBLT web-based learning tools online learning tools

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Evaluating learning, design, and engagement in web-based learning tools (WBLTs): The WBLT Evaluation Scale

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COMPUTERS IN HUMAN BEHAVIOR 2011年第5期27卷 1849-1856页

作者： Kay, Robin Univ Ontario Inst Technol Fac Educ Oshawa ON L1H 7L7 Canada

web-based learning tools (WBLTs), also known as learning objects, are online, interactive tools that support the learning of specific concepts by enhancing, amplifying, and/or guiding the cognitive processes of learners. Research examining the effectiveness of WBLTs is somewhat limited because sound, reliable, valid evaluation metrics are sparse, particularly in the K-12 environment. The purpose of the following study was to re-examine the learning Object Evaluation Scale for students (LOES-S), originally developed by Kay and Knaack (2009), to assess three key constructs: learning, design, and engagement. Over 800 middle and secondary schools students participated in high quality, pre-designed lessons intended to accentuate the use of WBLTs. Data collected from the new WBLT Evaluation Scale demonstrated good internal reliability, construct validity, convergent validity and predictive validity. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Evaluate learning Design Scale web-based learning tools learning object

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web-based learning tools: Storing usage data makes a difference

Web-based learning tools: Storing usage data makes a differe...

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6th IASTED International Conference on web-based Education

作者： Merceron, Agathe Yacef, Kalina Univ Appl Sci Berlin D-13353 Berlin Germany Univ Sydney Sch Informat Technol Sydney NSW 2006 Australia

ISBN: (纸本)9780889866508

web-based teaming tools are often introduced in addition to face-to-face teaching as an extra resource for students to train themselves outside the classroom. How can teachers know whether and how these tools represent an added value for students? In this paper we argue that usage data stored by such tools help teachers to get insight on the teaming impact of those tools and that this must be taken into account at the design phase. This is illustrated with two web-based tools Logic-ITA and JFLAP.

关键词： web-based learning tools storing and analysing usage data

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web-based PLATFORM FOR PROBLEM-CENTERED learning IN DSP

WEB-BASED PLATFORM FOR PROBLEM-CENTERED LEARNING IN DSP

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IEEE Digital Signal Processing Workshop/IEEE Signal Processing Education Workshop (DSP/SPE)

作者： Krudysz, Gregory A. McClellan, James H. Georgia Inst Technol Sch Elect & Comp Engn Ctr Signal & Image Proc Atlanta GA 30332 USA

ISBN: (纸本)9781612842271

In this paper we present a web-based tutoring system designed to enhance a student's conceptual understanding by providing many concept-centered exercises. The system relies on a course textbook from an introductory Signal Processing course for knowledge representation, and also on a large database of relevant problems. We construct concept maps from the textbook to create meta-data for various textbook derived resources, as well as for tagging all the exercise questions. The system tracks each student's comprehension of the course material by evaluating the student's problem solving proficiency in terms of the concepts from the textbook.

关键词： Intelligent Tutoring System web-based learning tools Collaborative Filtering

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COLLABORATIVE SYSTEM FOR SIGNAL PROCESSING EDUCATION

COLLABORATIVE SYSTEM FOR SIGNAL PROCESSING EDUCATION

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Krudysz, Gregory A. McClellan, James H. Georgia Inst Technol Ctr Signal & Image Proc Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9781457705397

In this paper we present a collaborative system designed to develop problem solving skills in learners through problem-centric exercises. This system is part of a data collection study consisting of hundreds of students which has been incorporated into the curriculum of a signal processing course. The purpose of this study is to examine a large population of students learning about DSP as they work through concept-specific problems. By tracking student problem-solving sessions, we aim to data mine the results to model student comprehension and characterize learning preferences.

关键词： Intelligent Tutoring System web-based learning tools Collaborative Filtering

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COLLABORATIVE SYSTEM FOR SIGNAL PROCESSING EDUCATION

COLLABORATIVE SYSTEM FOR SIGNAL PROCESSING EDUCATION

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Gregory A. Krudysz James H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology

ISBN: (纸本)9781457705380

关键词： Intelligent Tutoring System web-based learning tools Collaborative Filtering

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web-based Bayesian tutoring system

Web-based Bayesian tutoring system

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12th IEEE Digital Signal Processing Workshop/4th IEEE Signal Processing Education Workshop

作者： Krudysz, Gregory A. Li, Jenfeng Sam McClellan, James H. Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)1424405343

A number of Bayesian toolkits have been developed to learn from data through statistical inference. These toolkits are increasingly being applied in Intelligent Tutoring Systems (ITS) whose aim is to assist student learning. In this paper, we introduce a template for a web-based Bayesian driven ITS, which organizes course material, tests student understanding, and evaluates student performance to suggest a further plan of study. In addition, we provide guidelines for constructing a knowledge domain that will include meaningful problems that test all concepts being learned.

关键词： Intelligent Tutoring System Bayesian nets web-based learning tools

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