Solving quantitative problems: guidelines for teaching derived from research

Four guidelines for teaching quantitative problem‐solving are presented, based on research results. These guidelines are interrelated: for instruction with proper orientation, exercise and feedback (guideline 4) students need both clear and accessible overviews of Key Relations (guideline 3) and an appropriate system of heuristics (guideline 2). The analysis of students' difficulties (guideline 1) is a good starting point for the development of a system of heuristics, Key Relation charts and for the design of instructional procedures aimed at improving the way students solve quantitative problems.     

Model-based testing with UML applied to a roaming algorithm for Bluetooth devices

In late 2001,the Object Management Group issued a Request for Proposal to develop a testing profile for UML2.0. In June 2003,the work on the UML 2.0 Testing Profile was finally adopted by the OMG. Since March 2004,it has become an official standard of the OMG. The UML 2.0 Testing Profile provides support for UML based model-driven testing. This paper introduces a methodology on how to use the testing profile in order to modify and extend an existing UML design model for test issues. The application of the methodology will be explained by applying it to an existing UML Model for a Bluetooth device.     

A model for predicting the educational use of information and communication technologies

This study of 550 persons, predominately education professionals, was designed to test an integrated theoretical model (the 4-E Model) for predicting the likelihood of the use of telecommunications-related technological innovations (in particular, e-mail, the WWW, and videoconferencing) in learning-related settings. The four Es in the model, derived from a series of previous studies (Collis & Pals, 1999), are environmental factors, effectiveness, ease of use, and (personal) engagement. The model was first tested using factor-analytic procedures on the results of a 54-item questionnaire adminstered via the WWW to a sample of 550 persons from 39 countries. Twelve factors with eigenvalues greater than 1.00 were extracted and latent variables were generated to correspond with the factors. The factors as interpreted by items with loadings <0.500 supported the 4-E Model, but indicated that the four theoretical e dimensions could be further expressed in terms of subaspects. In addition, a series of variables related to likelihood of use of e-mail, the WWW, and videoconferencing in educational settings was also subjected to a factor analysis, resulting in three latent variables representing the dependent variables for a causal model. The causal model linking the latent variables was tested using a series of LISREL analyses, one for each of the derived dependent variables. The results, which again supported the 4-E Model, showed a strong contribution of the environment subfactor relating to the organization, as well as the engagement subfactor relating to the individual's self-confidence with respect to technology use to the prediction of implementation success. Based on the results of the factor analysis and the model validation, six of the latent variables related to the 4-E Model were identified as key to implementation prediction. These variables were used in a series of analyses of key subgroups in the sample, relating to educational sector, educational role, to gender, and to age, in order to examine key discriminating variables. The results are discussed in terms of their theoretical and practical implications, including the development of a WWW-based instrument.     

Memorisation methods in science education: tactics to improve the teaching and learning practice

How can science teachers support students in developing an appropriate declarative knowledge base for solving problems? This article focuses on the question whether the development of students’ memory of scientific propositions is better served by writing propositions down on paper or by making drawings of propositions either by silent or muttering rehearsal. By means of a memorisation experiment with eighth- and ninth-grade students, we answer this question. In this experiment, students received instruction to memorise nine science propositions and to reproduce them afterwards. To support memorisation students were randomly assigned either to a group that received instruction to write each proposition on paper or to a group that received instruction to make a drawing about the content of the proposition. In addition, half of the students in both groups received instruction to mutter and the other half of them received instruction to write or draw in silence. The main conclusion from the experiment is that after four weeks students who had made a drawing remembered significantly more propositions than those who had memorised the propositions by writing them down. Our research further revealed that it did not matter whether students muttered or memorised silently.