Mobile Adaptive CALL (MAC): A case-study in developing a mobile learning application for speech/audio language training Export

@article{citeulike:4353611, abstract = {In this paper, we present a case-study on developing an adaptive computer assisted language learning software built for mobile devices. Our application, called Mobile Adaptive CALL (MAC) is aimed at helping Japanese-English speakers in perceptually distinguishing the non-native /r/ vs. /l/ English phonemic contrast with a view to improving their discrimination. The software is adaptive and more practice is given for the learner on contrasts that are most difficult for them, and learners may choose their preferred level of difficulty. MAC is implemented in Java (J2ME), allowing the software to be used on a wide range of mobile devices including most recent mobile phones. In our case-study, we give an overview of the software, results from initial user studies and suggest some considerations for designing and implementing mobile learning applications for speech/audio language training.}, address = {Los Alamitos, CA, USA}, author = {Uther, Maria and Zipitria, Iraide and Singh, Pushpendra and Uther, James}, citeulike-article-id = {4353611}, citeulike-linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/WMTE.2005.46}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/WMTE.2005.46}, doi = {10.1109/WMTE.2005.46}, journal = {Wireless and Mobile Technologies in Education, IEEE International Workshop on}, keywords = {lecture-13, mobile\_guide}, pages = {187--191}, posted-at = {2009-04-17 22:55:07}, priority = {2}, publisher = {IEEE Computer Society}, title = {Mobile Adaptive CALL (MAC): A case-study in developing a mobile learning application for speech/audio language training}, url = {http://dx.doi.org/10.1109/WMTE.2005.46}, volume = {0}, year = {2005} }

TY - JOUR ID - citeulike:4353611 L3 - citeulike-article-id:4353611 N2 - In this paper, we present a case-study on developing an adaptive computer assisted language learning software built for mobile devices. Our application, called Mobile Adaptive CALL (MAC) is aimed at helping Japanese-English speakers in perceptually distinguishing the non-native /r/ vs. /l/ English phonemic contrast with a view to improving their discrimination. The software is adaptive and more practice is given for the learner on contrasts that are most difficult for them, and learners may choose their preferred level of difficulty. MAC is implemented in Java (J2ME), allowing the software to be used on a wide range of mobile devices including most recent mobile phones. In our case-study, we give an overview of the software, results from initial user studies and suggest some considerations for designing and implementing mobile learning applications for speech/audio language training. JF - Wireless and Mobile Technologies in Education, IEEE International Workshop on AD - Los Alamitos, CA, USA EP - 191 TI - Mobile Adaptive CALL (MAC): A case-study in developing a mobile learning application for speech/audio language training PB - IEEE Computer Society VL - 0 SP - 187 KW - lecture-13 KW - mobile_guide AU - Uther, Maria AU - Zipitria, Iraide AU - Singh, Pushpendra AU - Uther, James PY - 2005/// UR - http://dx.doi.org/10.1109/WMTE.2005.46 ER -