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Wang, Yanqing; Li, Hang; Feng, Yuqiang; Jiang, Yu; Liu, Ying – Computers & Education, 2012
The traditional assessment approach, in which one single written examination counts toward a student's total score, no longer meets new demands of programming language education. Based on a peer code review process model, we developed an online assessment system called "EduPCR" and used a novel approach to assess the learning of computer…
Descriptors: Programming Languages, Program Effectiveness, Programming, Tests
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Wang, Tiantian; Su, Xiaohong; Ma, Peijun; Wang, Yuying; Wang, Kuanquan – Computers & Education, 2011
Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student…
Descriptors: Foreign Countries, Feedback (Response), Program Effectiveness, Learning Experience
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Chen, Yao-Hsien; Cheng, Ching-Hsue; Liu, Jing-Wei – Computers & Education, 2010
In order to evaluate student learning achievement, several aspects should be considered, such as exercises, examinations, and observations. Traditionally, such an evaluation calculates a final score using a weighted average method after awarding numerical scores, and then determines a grade according to a set of established crisp criteria.…
Descriptors: Feedback (Response), Academic Achievement, Student Evaluation, Grading
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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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Triantafyllakos, George; Palaigeorgiou, George; Tsoukalas, Ioannis A. – Computers & Education, 2011
In this paper, we present a framework for the development of collaborative design games that can be employed in participatory design sessions with students for the design of educational applications. The framework is inspired by idea generation theory and the design games literature, and guides the development of board games which, through the use…
Descriptors: Computer Software, Social Influences, Instructional Design, Cooperative Learning
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Higgins, Colin A.; Bligh, Brett; Symeonidis, Pavlos; Tsintsifas, Athanasios – Computers & Education, 2009
The CourseMarker system has been used to assess free-response computer based assessment (CBA) exercises since 1998. The aim of the studies reported here was to evaluate the feasibility and usefulness of developing and deploying diagram-based exercises using DATsys, an authoring environment for diagram-based CBA, together with CourseMarker.…
Descriptors: Undergraduate Students, Formative Evaluation, Computer Assisted Testing, Questionnaires
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Lopez-Cuadrado, Javier; Perez, Tomas A.; Vadillo, Jose A.; Gutierrez, Julian – Computers & Education, 2010
The main requisite for a functional computerized adaptive testing system is the need of a calibrated item bank. This text presents the tasks carried out during the calibration of an item bank for assessing knowledge of Basque language. It has been done in terms of the 3-parameter logistic model provided by the item response theory. Besides, this…
Descriptors: Electronic Learning, Item Response Theory, Adult Education, Test Items
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Moridis, Christos N.; Economides, Anastasios A. – Computers & Education, 2009
Building computerized mechanisms that will accurately, immediately and continually recognize a learner's affective state and activate an appropriate response based on integrated pedagogical models is becoming one of the main aims of artificial intelligence in education. The goal of this paper is to demonstrate how the various kinds of evidence…
Descriptors: Prediction, Artificial Intelligence, Inferences, Psychological Patterns
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Gutierrez, Eladio; Trenas, Maria A.; Ramos, Julian; Corbera, Francisco; Romero, Sergio – Computers & Education, 2010
This work describes a new "Moodle" module developed to give support to the practical content of a basic computer organization course. This module goes beyond the mere hosting of resources and assignments. It makes use of an automatic checking and verification engine that works on the VHDL designs submitted by the students. The module automatically…
Descriptors: Assignments, Teamwork, Units of Study, Educational Assessment
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Koong, Chorng-Shiuh; Wu, Chi-Ying – Computers & Education, 2010
Multiple intelligences, with its hypothesis and implementation, have ascended to a prominent status among the many instructional methodologies. Meanwhile, pedagogical theories and concepts are in need of more alternative and interactive assessments to prove their prevalence (Kinugasa, Yamashita, Hayashi, Tominaga, & Yamasaki, 2005). In general,…
Descriptors: Multiple Intelligences, Test Items, Grading, Programming
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Cheang, Brenda; Kurnia, Andy; Lim, Andrew; Oon, Wee-Chong – Computers & Education, 2003
Practise is one of the most important steps in learning the art of computer programming. Unfortunately, human grading of programming assignments is a tedious and error-prone task, a problem compounded by the large enrolments of many programming courses. As a result, students in such courses tend to be given fewer programming assignments than…
Descriptors: Grading, Programming, Foreign Countries, Feedback (Response)
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Cox, Kevin; Clark, David – Computers & Education, 1998
Describes how to construct questions to test all cognitive levels of learning for a course in introductory programming. The framework for learning is based on Bloom's taxonomy. Practical advice is given through examples and by describing a computer system to help deliver quizzes. Includes example questions. (Author/AEF)
Descriptors: Cognitive Processes, Computer Assisted Testing, Computer Science, Computer System Design