Abstract
Classroom teaching and learning is the key component in formal education. How to engage the students in the limited classroom learning with emerging technologies has interested the researchers and practitioners in recent decades. We designed a personalized and web-based vocabulary drill system targeted at the required new words and phrases from the English textbook of the university students, and asked the students to volunteer in doing the drill programs using their own smart phones via wireless network in the classroom for 10 to 20 min in every week’s English class. The quasi experiment in one semester resulted in the significant grade mean increase of the treatment class in vocabulary test, as well as the decrease of the grade mean distance in the regular exams from the treatment class to the control class from statistically significant level to not significant level. Moreover, the fully participating students in the treatment class achieved significantly better grades than the partially participating students in the post regular exam, although the two groups were almost the same in pre regular exam. The present research demonstrates that the students’ smart phones can be easily blended into university classrooms to effectively facilitate the teaching and learning in university classes.
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References
Stockwell, G.: Using mobile phones for vocabulary activities: examining the effect of the platform. Lang. Learn. Technol. 14(2), 95–110 (2010)
Samson, P.J.: Deliberate engagement of laptops in large lecture classes to improve attentiveness and engagement. Comput. Educ. 20(2), 27–38 (2010)
Kay, R.H., Lauricella, S.: Exploring the benefits and challenges of using laptop computers in higher education classrooms: a formative analysis. Can. J. Learn. Technol. 37(1), 1–18 (2011)
Lin, Y., Chen, H.: Investigating the effects of podcasts via smartphones on foreign language learning. In: Colpaert, J., Aerts, A., Wu, W.-C.V, Chao, Y.-C.J. (eds.) Proceedings of 15th International CALL Conference, pp. 446–449 (2012)
Kim, H.: Effects of SMS text messaging on vocabulary learning. Multimedia-Assist. Lang. Learn. 14(2), 159–180 (2011)
Lin, C., Liu, K., Niramitranon, J.: Tablet PC to support collaborative learning: An empirical study of English vocabulary learning. In: Proceedings of the Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education, pp. 47–51. IEEE Computer Society, Los Alamitos, CA (2008)
Munoz-Organero, M., Munoz-Merino, J.P., Kloos, D.C.: Sending learning pills to mobile devices in class to enhance student performance and motivation in network services configuration courses. IEEE Trans. Educ. 55(1), 83–87 (2012)
Uluyol, C., Agca, K.R.: Integrating mobile multimedia into textbooks: 2D barcodes. Comput. Educ. 59(4), 1192–1198 (2012)
Jia, J.: CSIEC: A computer assisted english learning chatbot based on textual knowledge and reasoning. Knowl.-Based Syst. 22(4), 249–255 (2009)
Jia, J., Chen, Y., Ding, Z., Bai, Y., Yang, B., Li, M., Qi, J.: Effects of an intelligent web-based English instruction system on students’ academic performance. J. Comput. Assist. Learn. 29(6), 556–568 (2013)
Jia, J.: Intelligent Web-Based English Instruction in Middle Schools. IGI Global, Hershey (2014)
Jia, J., Xiang, D., Ding, Z., Chen, Y., Wang, Y., Bai, Y., Yang, B.: An effective approach using blended learning to assist the average students to catch up with the talented ones. Knowl. Manag. E-Learn. Int. J. (KM&EL) 5(1), 25–41 (2013)
Cohen, J.: Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Lawrence Erlbaum Associates, New Jersey (1988)
Cohen, J.: A power primer. Psychol. Bull. 112(1), 155–159 (1992)
Hedges, L.V., Olkin, I.: Statistical Methods for Meta-Analysis. Academic Press, Orlando (1985)
Fried, C.B.: In-class laptop use and its effects on student learning. Comput. Educ. 50(3), 906–914 (2008)
Froese, A.D., Carpenter, C.N., Inman, D.A., Schooley, J.R., Barnes, R.B.: Effects of classroom cell phone use on expected and actual learning. Coll. Student J. 46(2), 323–332 (2012)
Lepp, A., Barkley, J.E., Karpinski, A.C.: The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Comput. Hum. Behav. 31(2), 343–350 (2014)
Ravizza, S.M., Hambrick, D.Z., Fenn, K.M.: Non-academic internet use in the classroom is negatively related to classroom learning regardless of intellectual ability. Comput. Educ. 78, 109–114 (2014)
Rosen, L.D., Carrier, L.M., Cheever, N.A.: Facebook and texting made me do it: media-induced task-switching while studying. Comput. Hum. Behav. 29(3), 948–958 (2013)
Rambe, P., Bere, A.: Using mobile instant messaging to leverage learner participation and transform pedagogy at a South African university of technology. Br. J. Educ. Technol. 44, 544–561 (2013)
Ballance, O.J.: Mobile language learning: more than just “the platform”. Lang. Learn. Technol. 16(3), 21–23 (2012)
Acknowledgement
We thank Education Committee of Capital Beijing, China for supporting the project “The English Instruction in Schools Supported by Tablet PCs” (Number: AJA13145). This paper is one intermediate achievement.
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Jia, J., Chen, Z. (2016). Blending Smart Phones into Regular Classroom Learning. In: Cheung, S., Kwok, Lf., Shang, J., Wang, A., Kwan, R. (eds) Blended Learning: Aligning Theory with Practices . ICBL 2016. Lecture Notes in Computer Science(), vol 9757. Springer, Cham. https://doi.org/10.1007/978-3-319-41165-1_30
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DOI: https://doi.org/10.1007/978-3-319-41165-1_30
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