A significant number of the students who enter our university have fairly undeveloped spatial abilities. This is mainly because technical drawing is only an optional subject in further education in Spain. According to Saorin (Saorín Pérez, Navarro Trujillo, Martín Dorta, Martín Gutiérrez, & Contero, 2009), spatial ability is the ability to manipulate objects and their parts mentally in space. Spatial ability is divided into two categories: spatial relations, in which the ability to rotate and compare models is developed; and spatial vision, in which the ability to manipulate complex visual information is developed (various stages being needed to obtain the solution), such as the recognition of an item by folding and unfolding its faces. Students who need to improve their spatial abilities can be helped by using test collections such as DAT-SR (Differential Aptitude Test in Spatial Relations), PSVT:R (Purdue Spatial Visualization Test: Rotations) and MRT (Mental Rotations test), by using interactive games or spatial visualization workshops, and by performing exercises with the real items in augmented reality or virtually on a computer. It is necessary to use a 3D viewer which meets the learning needs of our students, in order to be able to view and manipulate the 3D models virtually on the computer, which assists our students in the development of their spatial abilities. The 3D viewer that is chosen must therefore be a tool which makes it possible to view and manipulate 3D models, in order to further develop the spatial abilities of graphic engineering students. Sorby (Sorby & Baartmans, 1996), in the conclusions to a course on 3D visualization abilities, concluded that performing exercises by computer (in his case with I-DEAS software) improved the learning processes of those students who had the greatest learning difficulties. Significantly, Rafi (Rafi et al., 2005) confirmed that the use of Web3D applications as a teaching tool with 3D models in the VRML format improved the development of spatial abilities. Other investigations, however, such as that of Koch (Koch, 2006), have shown that there are no significant differences between sketching and solid-modelling design methods used for technical problem solving. ICT (Information and Communications <strong>Technology</strong>) is essential to enable innovation in the communication methods between students and teachers, and the use of learning-based teaching techniques for our students, within the EHEA (European Higher Education Area) (Barajas & Owen, 2000). Investigation into educational techniques and systems associated with the use of Web3D is very limited, and there is great potential for a large number of educational applications that require visual understanding (Strong & Smith, 2001), (Web 3D Consortium, 1999). It should be noted that more emphasis has been given to the visualization of 3D objects, because 3D immediately enhances the learning process (Liarokapis et al., 2004). Students can explore a 3D visualization of the teaching material, thus enabling them to understand more effectively through interactivity with Web3d content. It is believed that the experimental scenarios presented can provide a rewarding learning experience that would otherwise be difficult to achieve. Nevertheless, as Chittaro (Chittaro & Ranon, 2007) affirmed, we must not forget some of the limitations of Web3D technologies in the use of EVEs. These include the teachers’ lack of experience or interest in using them, and the fact that their browsers are not always intuitive or easy to use. Furthermore, these Web3D technologies are not cheap and there is no standard method of assessing them (which means that some of their features may be of little relevance). It should also be remembered that using these technologies may have a demotivating effect on certain students. Definition of the most important requirements in 3D viewers The Quality Function Deployment (QFD) method is used here, in order to determine the most important items required of 3D viewers for the constructivist learning process in graphic engineering and to see how well these needs are met by the 3D viewers that are currently available on the market. This method is based on identifying the needs of the customers and, in our case, the needs which the viewers are required to meet for the purposes of teaching and learning. There are studies which identify these needs from perspectives other than our own. For example: Tornincasa (Tornincasa, Vezzetti, Calignano, & Moos, 2008), having interviewed workers using CAD/CAM/CAE tools in engineering and manufacturing companies, found that the 4 most important requirements are views, sections, dimensions, and dimensional and geometric tolerances. Ortega (Ortega Izquierdo, 2002) used the QFD method to assess digital mock-up systems—Enovia DMU and VisMockup—in three departments of a multinational company in the car industry. It was found that the digital mock-up systems had to meet the following requirements: easy installation, multiplatform modes, precise 169
visualization, user-friendly operation, with functions for measurement, and analysis (interferences, distances, geometry comparison, etc.), simple simulation, sections, mechanisms and assembly, file printing and export. The most important items required of 3D viewers with regard to the learning of Graphic Engineering have been defined by the authors of this paper as a team and are given in Table 1. They take into account the above-mentioned studies and the needs of the teachers at our university. The 30 most important needs are divided into 6 sections: visualization, manipulation, document and web integration, format exchange and file properties, performance of software and mechanisms and assemblies. Table 1. Survey on the features required of 3D viewers Table2. The features required of 3D viewers – The Results Please indicate with an X the option (A, B, or C) which you consider appropriate for each of the features required of a 3D viewer for a teaching platform . Where: A= Essential, B=Necessary, C=Desirable. Nº Requirements A B C VISUALIZATION 1 Rendering and rendering control 2 Visualization (slides, scenes, edges, etc.). 3 Predefined and standard views. 4 Control of vizualisation of drawings 5 Vizualisation of annotations and dimensions MANIPULATION Features required of 3D viewers for the teaching of Engineering 6 Zoom, movement and rotation (free or on the axis line) 7 Cuts and dynamic sections. 8 Measurement. 9 Creation of annotations and dimensions 10 Precision (measurement) DOCUMENT/WEB INTEGRATION 11 <strong>Educational</strong> platforms (Moodle, etc). 12 In the Web, multi-browser 13 In office, pdf, open office, etc. EXCHANGE OF FORMATS AND FILE PROPERTIES 14 Small file size. <strong>15</strong> Importing and exporting (variety of formats). 16 Printing. 17 Security of intellectual property (watermark, signature). 18 Opening without downloading, multiple in the case of simultaneity. 19 Less loss of information (surfaces, centres, precision). PERFORMANCE OF SOFTWARE 20 Low response time. 21 Speed of opening of files. 22 Minimum hardware requirements. 23 Simple intuitive handling. 24 Low price (freeware if possible). 25 Simple installation. MECHANISMS AND ASSEMBLIES 26 Manipulation of components. 27 Decomposition and contraction of the mechanism. 28 Animations. 29 Hiding of components. 30 Distinguishing between components in cuts and sections. THANK YOU FOR YOUR COOPERATION. A (%) B (%) C (%) Mean VISUALIZATION 1 Rendering and rendering control. 30,2 32,1 37,7 2,85 2 Control of visualization (slides, scenes, edges, etc). 35,8 47,2 17,0 3,38 3 Predefined and standard views. 66,0 22,6 11,3 4,09 4 Control of visualization of drawings. 54,7 28,3 17,0 3,75 5 Visualization of annotations and dimensions. 45,3 32,1 22,6 3,45 Visualization mean (average score) 3.50 MANIPULATION 6 Zoom, movement and rotation (free or on the axis line). 81,1 <strong>15</strong>,1 3,8 4,55 7 Cuts and dynamic sections. 45,3 41,5 13,2 3,64 8 Measurement 41,5 32,1 26,4 3,30 9 Creation of annotations and dimensions. 22,6 41,5 35,8 2,74 10 Precision (measurement). 18,9 50,9 30,2 2,77 Manipulation mean (average score) 3.40 DOCUMENT AND WEB INTEGRATION 11 <strong>Educational</strong> platforms (Moodle, etc). 17,0 47,2 35,8 2,62 12 In the web, multibrowser. 34,0 37,7 28,3 3,11 13 En office, pdf, open office, etc. 18,9 35,8 45,3 2,47 Document and web integration mean (average score) 2.73 EXCHANGE OF FORMATS AND FILE PROPERTIES 14 Small file size. 49,1 37,7 13,2 2,89 <strong>15</strong> Importing and exporting (variety of formats). 39,6 37,7 22,6 3,72 16 Printing. 7,5 32,1 60,4 3,34 17 Security of intellectual property (watermark, signature). 9,4 41,5 49,1 1,94 Opening without downloading, multiple in the case of 18 simultaneity. 28,3 49,1 22,6 2,21 19 Less loss of information (surfaces, centres, precision). 49,1 37,7 13,2 3,11 Exchange of formats and file properties mean (average score) PERFORMANCE OF SOFTWARE 2.87 20 Low response time. 47,2 35,8 17,0 3,60 21 Speed of opening of files. 47,2 32,1 20,8 3,53 22 Minimum hardware requirements. 26,4 50,9 22,6 3,08 23 Simple intuitive handling. 64,2 28,3 7,5 4,13 24 Low price (freeware if possible). 49,1 37,7 13,2 3,72 25 Simple installation 45,3 41,5 13,2 3,64 Performance of software mean (average score) 3.62 MECHANISMS AND ASSEMBLIES 26 Manipulation of components. 49,1 39,6 11,3 3,75 27 Decomposition and contraction of the mechanism. 39,6 49,1 11,3 3,57 28 Animations. 32,1 43,4 24,5 3,<strong>15</strong> 29 Hiding of components 50,9 43,4 5,7 3,91 Distinguishing between components in cuts and 30 sections. 43,4 47,2 9,4 3,68 Mechanisms and assemblies mean (average score) 3.61 To ascertain the importance of the items required in these 3D viewers, the survey shown on Table 1 was sent by email to 82 teachers at 40 Spanish universities who work in the field of graphic engineering and who were selected, in view of their bibliographies, teaching, and research work in areas that involve the use of 3D CAD and 3D viewers. 54 teachers from 29 universities provided responses to the survey. 170
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October 2012 Volume 15 Number 4
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Supporting Organizations Centre for
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Peer Evaluation in Blended Team Pro
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The contribution entitled “Semant
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with the group exploration activity
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Data collection This study collecte
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Table 2. The mind mapping activitie
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On the contrary, the students in th
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Elwart-Keys M., Halonen D., Horton
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Zualkernan, I. A., Raza, A., & Kari
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In summary, a large base of school
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Usability deals with how easy it is
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As Figure 5 shows, the adoption mod
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Adoption Factors of Adoption An ari
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that the particular way of using th
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Stoyanova, E. (2005). Problem posin
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The impact of peer assessment has b
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RQ2: Does assessing solutions of ot
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Both components, authoring tool and
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Supervision We enhanced the player
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Stepanyan, K., Mather, R., Jones, H
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international group of experts and
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1. Web application development over
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In Mike’s terminal window, run
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Chen, L.-C., & Lin, C. (2007). Comb
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To address these drawbacks some app
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LOM LOM objects Universia RDF repos
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Obtain DBpedia categories. In this
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shows. However, the benefit of expl
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Conclusions An approach for the ext
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Zhao, G., Ailiya, & Shen, Z. (2012)
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Apart from these, a project “SimS
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Autonomy is related to the sense of
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practice” for practicability, and
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secondary school students in Singap
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desirable; the event endurer is the
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Gartner, A. (1971). Children Teach
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experience and the guidance which i
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shown in the central part of Figure
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useful when choosing a learning pat
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competences helped them to specific
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model (Maier & Schmidt, 2007) as an
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Margaryan, A., Milligan, C., Little
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Being a Digital Native, however, is
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Pre-adolescent information seeking
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The significance of the study rests
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The middle school site followed a s
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A similar process for the middle sc
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have developed a new design model
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Davidson, J., & Wright, J. (1994).
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Mostmans, L., Vleugels, C., & Banni
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productive and needing more time to
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the location of computers: In eleme
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Accordingly, informants in the BOM-
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Goodman, L., MacCallum-Stewart, E.d
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Chen, M.-Y., Chang, F. M.-T., Chen,
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information systems (system quality
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This finding has significant implic
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These results imply that students e
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Lee, H.-J. & Kim, I. (2011). Develo
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We have successfully experimented o
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Figure 1. Analysis of the XO-1, the
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Figure 4. The most popular coping s
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other way too, when children were a
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judge or ridicule them. It is impor
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Acknowledgements This research rece
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Tambouris, E., Panopoulou, E., Tara
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participatory or collaborative prac
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My Desk is a workspace personal to
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While the notion of grouping learne
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Teacher controlled Teacher controll
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opinion of collaboration facilities
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Acknowledgements Work presented in
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Tsai, P.-S., Hwang, G.-J., Tsai, C.
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owsing, title browsing and author b
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The simple search function Figure 4
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The author browse function Figure 8
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Comparisons of usage feedback betwe
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Conclusions In the past decades, va
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Appendix A: The final version of qu
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as validity should be investigated.
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of the assessment results across th
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Figure 1. Teachers were allowed to
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Table 3 summarized the Pearson’s
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achievement test scores. Given thes
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Russell, J. D., & Butcher, C. (1999
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Attitude 4-5. Reflection on peer pe
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universities participate in new mar
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Agreement on a joint diploma/degree
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1. Awareness of the benefits for st
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Institutional resistance to change
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Business model A business model can
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The identity provider is responsibl
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Sample scenario Business layer The
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executed to fulfil collaboration ag
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Cadima, R., Ojeda, J., & Monguet, J
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Centrality metrics measure the exte
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Results Social Networks During the
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performance of the executives educa
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Song, S., Nerur, S., & Teng, J. (20
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We also propose a specific implemen
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assessment outputs gathering during
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is an authoring platform created wi
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Figure 4. Example of an assessment
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ate of errors in “Level 3” foll
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The evaluation of reusing pedagogic
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Shute, V. J., & Spector, J. M. (200
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Literature Review Cognitive apprent
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questions. Meta-Analyzer has been r
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presentation as a conclusion. Simil
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Interaction effect between cognitiv
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References Abouserie, R., & Moss, D
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Oloruntegbe, K. O., Ikpe, A., & Kuk
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Young, M.-L. (2012). An Exploratory
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In order to elicit narratives about
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Findings The study shows that deliv
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With the changes in the teaching en
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AEM Course Features. A subset of po
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Figure 4 shows the average pre and
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Ford, M. (1992). Motivating humans:
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Liang, T.-H., Huang, Y.-M., & Tsai,
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TSL1: Teacher as a coach TSL2: Teac
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instructional event (the upper part
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Table 3. The results of the chi-squ
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simultaneously complied with ISL an
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Finally, several pedagogical implic
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Hung, C.-M., Hwang, G.-J., & Huang,
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theory of Piaget (1950) and the soc
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Learning activities The unit of “
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subgroup in the control group neede
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When asked about the differences be
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Delialioglu, O., Cakir, H., Bichelm
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Anderson, T., & McGreal, R. (2012).
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This belief in the correlation of r
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and sometimes to compel, faculty to
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Part time versus full time faculty
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The open universities have a partic