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Naude, Kevin A.; Greyling, Jean H.; Vogts, Dieter – Computers & Education, 2010
We present a novel approach to the automated marking of student programming assignments. Our technique quantifies the structural similarity between unmarked student submissions and marked solutions, and is the basis by which we assign marks. This is accomplished through an efficient novel graph similarity measure ("AssignSim"). Our experiments…
Descriptors: Grading, Assignments, Correlation, Interrater Reliability
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Johnson, Michael D.; Diwakaran, Ram Prasad – Computers & Education, 2011
Computer-aided design (CAD) is a ubiquitous tool that today's students will be expected to use proficiently for numerous engineering purposes. Taking full advantage of the features available in modern CAD programs requires that models are created in a manner that allows others to easily understand how they are organized and alter them in an…
Descriptors: Computer Assisted Design, Correlation, Student Attitudes, Student Surveys
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Guruler, Huseyin; Istanbullu, Ayhan; Karahasan, Mehmet – Computers & Education, 2010
Knowledge discovery is a wide ranged process including data mining, which is used to find out meaningful and useful patterns in large amounts of data. In order to explore the factors having impact on the success of university students, knowledge discovery software, called MUSKUP, has been developed and tested on student data. In this system a…
Descriptors: Income, Computer Software, Databases, Data Analysis
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
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Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2010
It has been advocated that pedagogical content knowledge as well as subject matter knowledge are important for improving classroom instructions. To develop pedagogical content knowledge, it is argued that understanding of students' mental representations of concepts is deemed necessary. Yet assessing and comparing mental model of each individual…
Descriptors: Identification, Mathematics Instruction, Pedagogical Content Knowledge, Cognitive Style
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Wood, Clare; Pillinger, Claire; Jackson, Emma – Computers & Education, 2010
This paper reports an extended analysis of the study reported in [Wood, C. (2005). "Beginning readers' use of 'talking books' software can affect their reading strategies." "Journal of Research in Reading, 28," 170-182.], in which five and six-year-old children received either six sessions using specially designed talking books or six sessions of…
Descriptors: Reading Strategies, Phonological Awareness, Interaction, Tutors
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Chiou, Chuang-Kai; Hwang, Gwo-Jen; Tseng, Judy C. R. – Computers & Education, 2009
The rapid development of computer and network technologies has attracted researchers to investigate strategies for and the effects of applying information technologies in learning activities; simultaneously, learning environments have been developed to record the learning portfolios of students seeking web information for problem-solving. Although…
Descriptors: Learning Strategies, Problem Solving, Scoring, Student Evaluation
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Salmeron, Ladislao; Baccino, Thierry; Canas, Jose J.; Madrid, Rafael I.; Fajardo, Inmaculada – Computers & Education, 2009
Educational hypertexts usually include graphical overviews, conveying the structure of the text schematically with the aim of fostering comprehension. Despite the claims about their relevance, there is currently no consensus on the impact that hypertext overviews have on the reader's comprehension. In the present paper we have explored how…
Descriptors: Hypermedia, Comprehension, Learning Strategies, Learning Processes
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Yeh, Kuan-Hue; She, Hsiao-Ching – Computers & Education, 2010
The purpose of this study is to examine the difference in effectiveness between two on-line scientific learning programs--one with an argumentation component and one without an argumentation component--on students' scientific argumentation ability and conceptual change. A quasi-experimental design was used in this study. Two classes of 8th grade…
Descriptors: Experimental Groups, Control Groups, Persuasive Discourse, Chemistry
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Thoennessen, M.; Harrison, M. J. – Computers & Education, 1996
Describes CAPA, a software tool to implement a computer-assisted personalized approach for homework assignments and examinations in a large introductory physics class at Michigan State University. Highlights include increased individual attention for students; correlation between homework performance and results of the final exam; feedback for…
Descriptors: Academic Achievement, Assignments, Computer Assisted Instruction, Computer Software
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Kao, Gloria Yi-Ming; Lin, Sunny S. J.; Sun, Chuen-Tsai – Computers & Education, 2008
The authors address the role of computer support for building conceptual self-awareness--that is, enabling students to think outside of concept boundaries in hope of enhancing creative potential. Based on meta-cognition theory, we developed an integrated concept mapping system (ICMSys) to improve users' conceptual self-awareness in addition to…
Descriptors: Concept Mapping, Information Management, Computer Assisted Instruction, Educational Technology