A set of free cross-platform authoring programs for flexible web-based CALL exercises
The Mango Suite is a set of three freely downloadable cross-platform authoring programs for flexible network-based CALL exercises. They are Adobe Air applications, so they can be used on Windows, Macintosh, or Linux computers, provided the freely-available Adobe Air has been installed on the computer. The exercises which the programs generate are all Adobe Flash based. The three programs are: (1) Mango-multi, which constructs multiple-choice exercises with an optional sound and/or image; (2) Mango-match, which is for word/phrase matching exercises, and has an added feature intended to promote memorization, whereby an item must be matched correctly not once but an optional consecutive number of times; (3) Mango-gap, which produces seamless gap filling exercises, where the gaps can be as small as desired, down to the level of individual letters, and correction feedback is similarly detailed. Sounds may also be inserted at any desired points within the text, so that it is suitable for listening or dictation exercises. Each exercise generated by any of the programs is produced in the form of a folder containing all of the necessary files for immediate upload and deployment (except that if sound files are used in a Mango-gap exercise, they must be copied to the folder manually). The html file in which the flash exercise is embedded may be edited in any way to suit the user, and an xml file controlling the appearance of the exercise itself may be edited through a wysiwyg interface in the authoring program. The programs aim to combine ease of use with features not available in other authoring programs, toprovide a useful teaching and research tool.
Butler, A. C. and Roediger, H. L. (2008). Feedback enhances the positive effects and reduces the negative effects of multiple-choice testing. Memory & Cognition, 36(3): 604-616. Available from: http://duke.edu/~ab259/pubs/Butler&Roediger(2008).pdf https://doi.org/10.3758/MC.36.3.604
Folse, K. S. (2004). Vocabulary Myths: Applying Second Language Research to Classroom Teaching. Ann Arbor: University of Michigan Press. https://doi.org/10.3998/mpub.23925
Godwin-Jones, R. (2010). Emerging technologies - from memory palaces to spacing algorithms: approaches to second-language vocabulary learning. Language Learning & Technology, 14(2): 4-11. Available from: http://llt.msu.edu/vol14num2/emerging.pdf
Goto, T., Kojiri, T., Watanabe, T., Iwata, T. and Yamada, T. (2010). Automatic Generation System of Multiple-Choice Cloze Questions and its Evaluation. Knowledge Management & E-Learning, 2(3): 210-224. Available from: http://kmel-journal.org/ojs/index.php/online-publication/article/view/72/53
Hewer, S. (2011). Text Manipulation. In: Davies, G. (ed.) Introduction to Computer Assisted Language Learning (CALL) – Module 1.4 of Information and Communications Technologies for Language Teachers (ICT4LT), Slough: Thames Valley University [Online]. Available from: http://www.ict4lt.org/en/en_mod1-4.htm#textmanip
Horst, M., Cobb, T. and Nicolae, I. (2005). Expanding academic vocabulary with an interactive on-line database, Language Learning & Technology, 9(2): 90-110. Available from: http://llt.msu.edu/vol9num2/horst/default.html
Kim, D., & Gilman, D. A. (2008). Effects of Text, Audio, and Graphic Aids in Multimedia Instruction for Vocabulary Learning. Educational Technology & Society, 11(3), 114-126. Available from: http://www.ifets.info/journals/11_3/9.pdf
Krashen, S. D. (1981). Principles and Practice in Second Language Acquisition. London: Prentice-Hall International.
Ma, Q, and Kelly, P. (2006). Computer assisted vocabulary learning: design and evaluation. Computer Assisted Language Learning, 19(1), 15-45. https://doi.org/10.1080/09588220600803998
Nakata, T. (2008). English vocabulary learning with word lists, word cards and computer: implications from cognitive psychology research for optimal spaced learning. ReCALL, 20(1): 3-20. https://doi.org/10.1017/S0958344008000219
Pino, J., Heilman, M. and Eskenaz, M. (2008). Selection Strategy to Improve Cloze Question Quality. In: Intelligent Tutoring Systems for Ill-Defined Domains: Assessment and Feedback in Ill-Defined Domains, Proceedings of the 9th International Conference on Intelligent Tutoring Systems, Montreal Canada: 22-34. Available from: http://www.philippe-fournier-viger.com/ill-defined/Workshop-ITS08-ill-defined.pdf
Roediger, H. L. and Marsh, E.J. (2005). The Positive and Negative Consequences of Multiple-Choice Testing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(5): 1155–1159. Available from: http://www.niu.edu/~britt/courses/Roediger_Marsh_pos_neg_testing.pdf https://doi.org/10.1037/0278-73220.127.116.115
Yun, S., Miller, P. C., Baek, Y., Jung, J. and Ko, M. (2008). Improving recall and transfer skills through vocabulary building in web-based second language learning: An examination by item and feedback type, Educational Technology & Society, 11(4): 158–172. Available from: http://www.ifets.info/journals/11_4/12.pdf.
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