Conclusions In this paper we argued that a tool to provide prompt formative feedback can be designed in such a way that, by means of language technologies, little tutor intervention is needed. We proposed that learners will benefit if a tool provides them with information regarding their coverage of key concepts in the study domain, and compares this information with that of their peers. From the tutor perspective this feedback provides evidence which can then help identify individual learners who have difficulty in recognising key concepts. From the validation conducted it was evident that most tutors perceived the approach relevant and useful for them and their students. They also suggested several different ways of using the tool, which indicated that they appreciated the potential of the tool. Nevertheless, tutors identified several conditions that should be fulfilled in order to incorporate the tool in their current practice. This may also negatively influence the results regarding user satisfaction. There were strong arguments in favour of aligning the tool with existing practices, such as total integration to existing platforms (e.g., institutional virtual learning environment), using only specific types of text documents, or privacy issues in sharing information. These constraints, whether institutional or tutor- oriented, are difficult to avoid if the proposed service is to be implemented in real practice. At the same time, these might cause that stakeholders overlook the potential technology has for supporting learning and therefore limit the possibilities the service –or any other new technology solution– could provide in the learning practice. We believe that our approach could be of use in other learning situations, where different pedagogical approaches are used. It could be valuable in collaborative writing, where it is important to recognise differences and similarities between the texts, in discussion forums, to identify which concepts have been discussed, in workplace learning to specify core concepts in different documents (for a trial case see Berlanga et al. (2009)) and in informal learning situations where a formative feedback tool, such as the one we propose, could be of use to a group of people who share the same interest on a particular topic and are willing to explore the domain further. Finally, further research is needed to evaluate learner’s perception of the proposed tool as well as evaluation that involves a wider range of stakeholders. It is also essential to verify the accuracy and reliability of the language technologies used to underpin the development of this tool. This is important as we must ascertain how tutors and learners understand the limits of this technology, the conditions under which it may be used to produce reliable results, and those in which some results may be inaccurate. Acknowledgments We would like to thank Jannes Eshuis (Open University of The Netherlands), Jan Hensgens (Aurus KTS), Fridolin Wild and Debra Haley (Open University UK), and Robert Koblischke (Vienna University). We also like to thank the participants of the validation sessions. The work presented in this paper was carried out as part of the LTfLL project, which is funded by the European Commission (IST-2007-212578). References Arts, A. J., Gijselaers, W. H., & Boshuijzen, H. (2006). Understanding managerial problem-solving, knowledge use and information processing: Investigating stages from school to the workplace. Contemporary <strong>Educational</strong> Psychology, 31(3), 387- 410. Bai, S.-M. & Chen, S.-M. (2008). Automatically constructing concept maps based on fuzzy rules for adapting learning systems. Expert Syst. Appl., 35(1-2), 41–49. Bai, S.-M., & Chen, S.-M. (2010). Using data mining techniques to automatically construct concept maps for adaptive learning systems. Expert Systems with Applications, 37(6), 4496–4503. Berlanga, A. J., Brouns, F., Van Rosmalen, P., Rajagopal, K., Kalz, M., & Stoyanov, S. (2009). Making Use of Language Technologies to Provide Formative Feedback. Paper presented at the AIED 2009 Workshop Natural Language Processing in Support of Learning, July, 6-7, Brighton, United Kingdom. Berlanga, A. J., Van Rosmalen, P., Boshuijzen, H. P. A., & Sloep, P. B. (in press). Exploring Formative Feedback on Textual Assignments with the Help of Automatically Created Visual Representations. Journal of Computer Assisted Learning. 19
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- Page 1 and 2: October 2011 Volume 14 Number 4
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- Page 17 and 18: Theoretical background Feedback, is
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and ratings (the use of star rating
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(K1) is the number of non-reusable
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Case 3: The process of reusing a se
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Washizaki, H., Yamamoto, Y. & Fukaz
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to examine determinants for pre-ser
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Overview of the model The first res
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significance of relationships. All
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Discussion This study represents a
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Davis, F., Bagozzi, R., & Warshaw,
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Ko, C.-C., Chiang, C.-H., Lin, Y.-L
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Interestingly, the Universal Design
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Figure 1. Framework of the TriAcces
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Experiment This experiment aimed to
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Table 2. Descriptive statistics for
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Foulds, R., & Camacho, C. (2003). T
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answer. However, students can choos
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Hartley & Collins-Brown, 1999; Morl
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Subjects Figure 4. Partial misconce
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correct for a four-option MC item i
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from −3 to 3 for any four-option
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Kansup, W. (1973). A comparison of
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The theory of mental models explain
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computer-mediated counter-arguments
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Learning in this study refers to, w
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the experiment process was anonymou
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supported. However, significant dif
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Cannon-Bowers, J. A., Salas, E., &
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Lee, Y.-H., Hsieh, Y.-C., & Hsu, C.
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Many researchers have conducted emp
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Trialability Some studies have empi
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Results Instrument validation Two c
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In this study, Amos 6.0 was employe
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Our results strongly supported the
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Fornell, C., & Larcker, D. F. (1981
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Kimmerle, J., Moskaliuk, J., & Cres
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What becomes clear from this short
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Figure 1. Distribution of informati
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Results In order to test the hypoth
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esults of the present study with th
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Kolbitsch, J., & Maurer, H. (2006).
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A conceptual framework of this stud
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eveal positive effects on students
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learning resources; and able to acc
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Discussion This study suggests that
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146). Also, role of constructivist
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eform strategy, namely, the MOE-Int
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McNaughton, S. (2002). Meeting of m
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Wu, T.-T., Sung, T.-W., Huang, Y.-M
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Ubiquitous English-Reading Learning
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include the number of times and ran
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initial value for the predetermined
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The following Eq. (18) expresses th
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Limitations This experiment adopted
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Table 3 shows the analysis of the p
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enhance learning outcomes, it impor
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Ogata, H., & Yano, Y. (2004a). Cont
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Communication seems to be more effe
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the audience only listened, one whe
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Step 5) Writing the story On the ba
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As indicated in Table 2, the differ
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References Armstrong, S. (2003). Th
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Goh, T.-T. (2011). Exploring Gender
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OPAC has been transformed into AirP
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Perceived Self-Efficacy Figure 3. H
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were asked to rate their confidence
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(2001). The correlation table begin
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Discussion and Implications Note. S
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will become important to identify i
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Parker, A. (2007). SMS - Its use in
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Find the perimeter of the rectangle
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Wait Time Management Issues related
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Precision Reduced_Precision ( T T0
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learning concept. If the Specialty
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Two criteria have been adopted to e
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Reduced Recall 0.07 0.06 0.05 0.04
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In this work, both recall-oriented
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Tsai, C.-C., Chuang, S.-C., Liang,
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confidence and self-belief in their
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Peng et al. (2006) To explore ISE &
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Torkzadeh, Chang, and Demirhan (200
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educational level, locus of control
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Internet-based learning self-effica
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Though Lee and Lee (2008) did not d
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Regarding the category of ISE resea
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Bandura, A. (1997). Self-efficacy:
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Pintrich, P. R., & de Groot, E. V.
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In formal learning, Safran, Helic,
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that culture is essential when user
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Table 3. Analysis of usage frequenc
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7 1.16 137.73 0.25 0.29 0.25 Social
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discussions freely. So Korean stude
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Johnson, L., Levine, A., & Smith, R
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Figure 1. The UE Faculty Web Portal
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2006), and consistency (Sindhuja &
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Independent Variables Dependent Var
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Meanwhile, as shown in Table 4, Ava
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design methods in the development o
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Pearson, J. M., & Pearson, A. (2008
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Clewley, N., Chen, S. Y., & Liu, X.
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As shown in this Table, Holists wil
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satisfaction or dissatisfaction wit
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8 I would prefer to learn from huma
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the examples need to be more practi
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Brotherton, J. A,. & Abowd, G. D. (
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Cobos, D. L. (2011). Book review: T