參考文獻 |
[1] Harger, R.O., Teaching in a computer classroom with a hyperlinked, interactive book. IEEE transactions on Education, 1996. 39(3): p. 327-335.
[2] Gibbs, S.F., G.D. Steel, and A. McKinnon, Are workplace end-user computing skills at a desirable level? A New Zealand perspective. 2015.
[3] Boud, D., R. Cohen, and J. Sampson, Peer learning in higher education: Learning from and with each other. 2014: Routledge.
[4] Damon, W. and E. Phelps, Critical distinctions among three approaches to peer education. International journal of educational research, 1989. 13(1): p. 9-19.
[5] Chao, I.-M., The Study on the Information Abilities and e-Learning Opportunities for Junior High School Students at Taipei City (Unpublished master’s thesis), in Department of Industrial Education,. 2007, National Normal University: Taipei City. p. 1-123.
[6] Goodlad, S. and B. Hirst, Peer Tutoring. A Guide to Learning by Teaching. 1989: ERIC.
[7] Conrad, E., Peer Tutoring: A Cooperative Learning Experience. 1974.
[8] Topping, K. and S. Ehly, Peer-assisted learning. 1998: Routledge.
[9] Rohrbeck, C.A., et al., Peer-assisted learning interventions with elementary school students: A meta-analytic review. Journal of Educational Psychology, 2003. 95(2): p. 240.
[10] Duran, D., Learning-by-teaching. Evidence and implications as a pedagogical mechanism. Innovations in education and teaching international, 2017. 54(5): p. 476-484.
[11] Good, T.L. and A.L. Lavigne, Looking in classrooms. 2017: Routledge.
[12] Lee, C.-I. and C.-W. Hu, Assisting Students with Learning Difficulties in Class by Using Dynamic Grouping Strategy with Peer Learning. Journal of Liberal Arts and Social Sciences, 2018. 14(2): p. 117-137.
[13] Ryan, A.M., L. Hicks, and C. Midgley, Social goals, academic goals, and avoiding seeking help in the classroom. The Journal of Early Adolescence, 1997. 17(2): p. 152-171.
[14] Aronson, E., et al., Social Psychology (Ninth Edit). 2016, Pearson Education.
[15] Lahtonen, T. and V. Isomöttönen. PARSI: a tool for automatic assessment of office documents and basic IT skills. in Proceedings of the 12th Koli Calling International Conference on Computing Education Research. 2012. ACM.
[16] Matthews, K., et al., Implementation of an automated grading system with an adaptive learning component to affect student feedback and response time. Journal of Information Systems Education, 2012. 23(1): p. 71.
[17] Computer Skill Foundation. 2019; Available from: www.csf.org.tw.
[18] Sinha, A., J. Bayer, and S.S. Bukhari. Table Localization and Field Value Extraction in Piping and Instrumentation Diagram Images. in 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). 2019. IEEE.
[19] Riad, A., et al. Classification and Information Extraction for Complex and Nested Tabular Structures in Images. in 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). 2017. IEEE.
[20] Falchikov, N., Learning together: Peer tutoring in higher education. 2001: Psychology Press.
[21] Lacaba, A.B., J.D. Magalona, and T.V.G. Lacaba, “Peer Teaching Strategy To Increase Mathematics Proficiency Level”(An Action Research)(Eastern Samar State University). International Journal of Scientific Research and Management, 2018. 6(08): p. M-2018-79-85.
[22] Topping, K., Tutoring. 2000: International Academy of Education Genf, Switzerland.
[23] Chuang, C.-W., G.-J. Hwang, and W.-J. Tsai, A Peer Tutoring-Based Concept Mapping Approach to Improving Students′ Learning Achievements and Attitudes for a Social Studies Course. International Journal of Online Pedagogy and Course Design (IJOPCD), 2018. 8(1): p. 1-12.
[24] Greenwood, C.R., J.C. Delquadri, and R.V. Hall, Longitudinal effects of classwide peer tutoring. Journal of Educational psychology, 1989. 81(3): p. 371.
[25] Hawkins, J., et al., The Power of Peers: Setting a Course for 21st Century Skills in Inclusive Classrooms, in Cultivating Inclusive Practices in Contemporary K-12 Education. 2019, IGI Global. p. 66-89.
[26] Greenwood, C.R. and J. Delquadri, Classwide peer tutoring and the prevention of school failure. Preventing School Failure: Alternative Education for Children and Youth, 1995. 39(4): p. 21-25.
[27] Greenwood, C.R., et al., Classwide peer tutoring learning management system: Applications with elementary-level English language learners. Remedial and Special Education, 2001. 22(1): p. 34-47.
[28] Fantuzzo, J.W., G.Y. Davis, and M.D. Ginsburg, Effects of parent involvement in isolation or in combination with peer tutoring on student self-concept and mathematics achievement. Journal of Educational Psychology, 1995. 87(2): p. 272.
[29] Ketele, P., et al., PerSIST: A PAL system for clinical skills training: A planning and implementation framework: Guide Supplement 30.8–Practical application. Medical teacher, 2010. 32(9): p. 782-784.
[30] McKellar, N.A., Behaviors used in peer tutoring. The Journal of Experimental Education, 1986. 54(3): p. 163-167.
[31] Alegre, F., et al., Peer tutoring in algebra: A study in Middle school. The Journal of Educational Research, 2019: p. 1-7.
[32] Dong, J.-J., et al., Implementing On-call-tutor system for facilitating peer-help activities. IEEE Transactions on Learning Technologies, 2018. 12(1): p. 73-86.
[33] Madaio, M., et al., A climate of support: a process-oriented analysis of the impact of rapport on peer tutoring. 2018, International Society of the Learning Sciences, Inc.[ISLS].
[34] Evans, M.J. and J.S. Moore, Peer tutoring with the aid of the Internet. British Journal of Educational Technology, 2013. 44(1): p. 144-155.
[35] Akobe, D., et al. A Web Framework for Online Peer Tutoring Application in a Smart Campus. in International Conference on Computational Science and Its Applications. 2019. Springer.
[36] Linden, G., B. Smith, and J. York, Amazon. com recommenders: Item-to-item collaborative filtering. IEEE Internet computing, 2003(1): p. 76-80.
[37] Lu, J., et al., Recommender system application developments: a survey. Decision Support Systems, 2015. 74: p. 12-32.
[38] Ochirbat, A., et al., Hybrid occupation recommender for adolescents on interest, profile, and behavior. Telematics and Informatics, 2018. 35(3): p. 534-550.
[39] Diaby, M., E. Viennet, and T. Launay. Toward the next generation of recruitment tools: an online social network-based job recommender system. in 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013). 2013. IEEE.
[40] Diaby, M. and E. Viennet. Taxonomy-based job recommender systems on Facebook and LinkedIn profiles. in 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS). 2014. IEEE.
[41] Wang, X., et al. E-learning recommender framework based on deep learning. in 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2017. IEEE.
[42] Zhang, S., et al., Deep learning based recommender system: a survey and new perspectives (2017). arXiv preprint arXiv:1707.07435, 2017.
[43] Burke, R., Hybrid recommender systems: Survey and experiments. User modeling and user-adapted interaction, 2002. 12(4): p. 331-370.
[44] Zhang, Y., C. Yang, and Z. Niu. A research of job recommender system based on collaborative filtering. in 2014 Seventh International Symposium on Computational Intelligence and Design. 2014. IEEE.
[45] Pennock, D.M., et al., Collaborative filtering by personality diagnosis: A hybrid memory-and model-based approach. arXiv preprint arXiv:1301.3885, 2013.
[46] He, X., et al. Neural collaborative filtering. in Proceedings of the 26th international conference on world wide web. 2017.
[47] Specht, D.F., A general regression neural network. IEEE transactions on neural networks, 1991. 2(6): p. 568-576.
[48] Day, M.-Y. and Y.-D. Lin. Deep learning for sentiment analysis on google play consumer review. in 2017 IEEE International Conference on Information Reuse and Integration (IRI). 2017. IEEE.
[49] Gulli, A. and S. Pal, Deep Learning with Keras. 2017: Packt Publishing Ltd.
[50] Nassar, N., A. Jafar, and Y. Rahhal, A novel deep multi-criteria collaborative filtering model for recommender system. Knowledge-Based Systems, 2020. 187: p. 104811.
[51] Sarkar, D., R. Bali, and T. Ghosh, Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras. 2018: Packt Publishing Ltd.
[52] Zhang, L., et al., A recommender model based on deep neural network. IEEE Access, 2018. 6: p. 9454-9463.
[53] Shepitsen, A., et al. Personalized recommender in social tagging systems using hierarchical clustering. in Proceedings of the 2008 ACM conference on Recommender systems. 2008. ACM.
[54] Rahutomo, R., et al. Embedding Model Design for Producing Book Recommender. in 2019 International Conference on Information Management and Technology (ICIMTech). 2019. IEEE.
[55] Banerjee, S., Collaborative Filtering for Movie Recommenders. 2020.
[56] Xie, H., et al., Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers & Education, 2019. 140: p. 103599.
[57] Klašnja-Milićević, A., et al., E-Learning personalization based on hybrid recommender strategy and learning style identification. Computers & Education, 2011. 56(3): p. 885-899.
[58] Zaíane, O.R. Building a recommender agent for e-learning systems. in International Conference on Computers in Education, 2002. Proceedings. 2002. IEEE.
[59] Mihaescu, M.C., P.-S. Popescu, and C.M. Ionascu. Intelligent Tutor Recommender System for On-Line Educational Environments. in EDM. 2015.
[60] Chu, H.-C., et al., Effects of formative assessment in an augmented reality approach to conducting ubiquitous learning activities for architecture courses. Universal Access in the Information Society, 2019: p. 1-10.
[61] Murray, T., Authoring knowledge-based tutors: Tools for content, instructional strategy, student model, and interface design. The journal of the learning sciences, 1998. 7(1): p. 5-64.
[62] Swithenby, S.J. E-assessment for open learning. in European Association of Distance Teaching Universities (EADTU) Annual Conference. 2006.
[63] Whitelock, D.M. and A. Brasher, Developing a roadmap for e-assessment: which way now? 2006.
[64] Wongwatkit, C., et al., Influence of an integrated learning diagnosis and formative assessment-based personalized web learning approach on students learning performances and perceptions. Interactive Learning Environments, 2017. 25(7): p. 889-903.
[65] Chorana, A., et al., XML-based e-assessment system for Office skills in open learning environments. Research and practice in technology enhanced learning, 2015. 10(1): p. 12.
[66] Koike, H., et al. Toward a software development model for automatic marking software. in Proceedings of the 35th annual ACM SIGUCCS fall conference. 2007. ACM.
[67] Ren, X., F. Tang, and P. Tang, Word operation automatic marking system based on VBA [J]. Computer Knowledge and Technology, 2010. 21: p. 059.
[68] Zhu, Y. and F. Shen, An office automatic marking system research and implementation. Journal of Theoretical & Applied Information Technology, 2013. 47(1): p. p242-245.
[69] Long, S., R. Dowsing, and P. Craven, Knowledge-based systems for marking professional IT skills examinations, in Applications and Innovations in Intelligent Systems X. 2003, Springer. p. 3-16.
[70] Hill, T.G., Word grader and powerpoint grader. ACM Inroads, 2011. 2(2): p. 34-36.
[71] Bradski, G. and A. Kaehler, Learning OpenCV: Computer vision with the OpenCV library. 2008: " O′Reilly Media, Inc.".
[72] Puri, R. and V. Jain, Barcode Detection using OpenCV-Python. Science, 2019. 4(1): p. 97-99.
[73] OpenCV. 2019; Available from: opencv.org.
[74] Dong, J.-J. and W.-Y. Hwang, Study to minimize learning progress differences in software learning class using PLITAZ system. Educational Technology Research and Development, 2012. 60(3): p. 501-527.
[75] Kingma, D.P. and J. Ba, Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980, 2014.
[76] Creswell, J.W., Educational research: Planning, conducting, and evaluating quantitative. 2008: Prentice Hall Upper Saddle River, NJ.
[77] IBM, SPSS version 21.0. Armonk, NY: IBM Corp., 2012.
[78] Bargh, J.A. and Y. Schul, On the cognitive benefits of teaching. Journal of Educational Psychology, 1980. 72(5): p. 593.
[79] Whitman, N.A. and J.D. Fife, Peer Teaching: To Teach Is To Learn Twice. ASHE-ERIC Higher Education Report No. 4, 1988. 1988: ERIC.
[80] King, W.R. and J. He, A meta-analysis of the technology acceptance model. Information & management, 2006. 43(6): p. 740-755.
[81] Bastian, M., S. Heymann, and M. Jacomy. Gephi: an open source software for exploring and manipulating networks. in Third international AAAI conference on weblogs and social media. 2009. |