Automatic text generation using deep learning: providing large-scale support for online learning communities

References

• Almatrafi, O., Johri, A., & Rangwala, H. (2018). Needle in a haystack: Identifying learner posts that require urgent response in MOOC discussion forums. Computers & Education, 118, 1–9. https://doi.org/10.1016/j.compedu.2017.11.002
   Web of Science ®Google Scholar
• Bambina, A.. (2007). Online social support: the interplay of social networks and computer-mediated communication. Cambria Press.
   Google Scholar
• Barbalet, J. (2002). Introduction: Why emotions are crucial. The Sociological Review, 50(2_suppl), 1–9. https://doi.org/10.1111/j.1467-954X.2002.tb03588.x
   Google Scholar
• Baumeister, R. F., DeWall, C. N., & Zhang, L. (2007). Do emotions improve or hinder the decision making process? Russell Sage.
   Google Scholar
• Belz, A., & Reiter, E. (2006, April 3–7). Comparing automatic and human evaluation of NLG systems. 11th Conference of the European Chapter of the Association for Computational Linguistics.
   Google Scholar
• Brook, C., & Oliver, R. (2003). Online learning communities: Investigating a design framework. Australasian Journal of Educational Technology, 19(2). https://doi.org/10.14742/ajet.1708
   Google Scholar
• Brown, R., Lynch, C., Wang, Y., & Eagle, M. (2015, June 26–29). Communities of performance & communities of preference. 8th International Conference on Educational Data Mining (EDM) Workshops.
   Google Scholar
• Bruckman, A. (1998). Community support for constructionist learning. Computer Supported Cooperative Work (CSCW), 7(1–2), 47–86. https://doi.org/10.1023/A:1008684120893
   Google Scholar
• Charalambos, V., Michalinos, Z., & Chamberlain, R. (2004). The design of online learning communities: Critical issues. Educational Media International, 41(2), 135–143. https://doi.org/10.1080/09523980410001678593
   Google Scholar
• Cleveland-Innes, M., & Campbell, P. (2012). Emotional presence, learning, and the online learning environment. The International Review of Research in Open and Distributed Learning, 13(4), 269–292. https://doi.org/10.19173/irrodl.v13i4.1234
   Web of Science ®Google Scholar
• Cohen, S., & Hoberman, H. M. (1983). Positive events and social supports as buffers of life change stress. Journal of Applied Social Psychology, 13(2), 99–125. https://doi.org/10.1111/j.1559-1816.1983.tb02325.x
   Web of Science ®Google Scholar
• Dawson, S. (2006). Online forum discussion interactions as an indicator of student community. Australasian Journal of Educational Technology, 22(4), https://doi.org/10.14742/ajet.1282
   Google Scholar
• Dufty, D. F., & Graesser, A. C. (2006). Assigning grade levels to textbooks: Is it just readability? Proceedings of the Annual Meeting of the Cognitive Science Society, 28, (28). https://escholarship.org/uc/item/44f184z9
   Google Scholar
• Ferschke, O., Howley, I., Tomar, G., Yang, D., & Liu, Y. (2015). Fostering discussion across communication media in massive open online courses.
   Google Scholar
• Garcelon, N., Neuraz, A., Salomon, R., Bahi-Buisson, N., Amiel, J., Picard, C., Mahlaoui, N., Benoit, V., Burgun, A., & Rance, B. (2018). Next generation phenotyping using narrative reports in a rare disease clinical data warehouse. Orphanet Journal of Rare Diseases, 13(1), 1–11. https://doi.org/10.1186/s13023-018-0830-6
   PubMedGoogle Scholar
• Garrison, D. R., Anderson, T., & Archer, W. (1999). Critical inquiry in a text-based environment: Computer conferencing in Higher education. The Internet and Higher Education, 2(2-3), 87–105. https://doi.org/10.1016/S1096-7516(00)00016-6
   Google Scholar
• Giannakos, M. N., Jaccheri, L., & Leftheriotis, I. (2014, June 22–27). Happy girls engaging with technology: Assessing emotions and engagement related to programming activities, International Conference on Learning and Collaboration Technologies, (Vol. 8523, pp. 398–409), Springer International. https://doi.org/10.1007/978-3-319-07482-5_38
   Google Scholar
• Gkatzia, D., & Mahamood, S. (2015, September 10–11). A snapshot of NLG evaluation practices 2005 - 2014. Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), 57–60. https://doi.org/10.18653/v1/W15-4708
   Google Scholar
• Gkatzia, D., Rieser, V., & Lemon, O. (2016, July 24–29). How to talk to strangers: Generating medical reports for first-time users. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ-IEEE.2016.7737739
   Google Scholar
• Goggins, S., & Xing, W. (2016). Building models explaining student participation behavior in asynchronous online discussion. Computers & Education, 94, 241–251. https://doi.org/10.1016/j.compedu.2015.11.002
   Web of Science ®Google Scholar
• Goradia, T., & Bugarcic, A. (2019). Exploration and evaluation of the tools used to identify first year at-risk students in health science courses: A systematic review. Advances in Integrative Medicine, 6(4), 143–150. https://doi.org/10.1016/j.aimed.2018.11.003
   Web of Science ®Google Scholar
• Graf, S., Kinshuk, & Liu, T. C. (2009). Supporting teachers in identifying students’ learning styles in learning management systems: An automatic student modelling approach. Journal of Educational Technology & Society, 12(4), 3–14.
   Web of Science ®Google Scholar
• Hastie, H., & Belz, A. (2014, May 26–31). A comparative evaluation methodology for NLG in interactive systems. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14).
   Google Scholar
• Hemetsberger, A., & Reinhardt, C. (2006). Learning and knowledge-building in open-source communities. Management Learning, 37(2), 187–214. https://doi.org/10.1177/1350507606063442
   Web of Science ®Google Scholar
• Hill, B. M., & Monroy-Hernández, A. (2017). A longitudinal dataset of five years of public activity in the Scratch online community. Scientific Data, 4(1), 170002. https://doi.org/10.1038/sdata.2017.2
   PubMedGoogle Scholar
• House, J. S. (1981). Work stress and social support. Reading, MA: Addison-Wesley.
   Google Scholar
• Hsu, J.-Y., Chen, C.-C., & Ting, P.-F. (2018). Understanding MOOC continuance: An empirical examination of social support theory. Interactive Learning Environments, 26(8), 1100–1118. https://doi.org/10.1080/10494820.2018.1446990
   Web of Science ®Google Scholar
• Io, H. N., & Lee, C. B. (2017, December). Chatbots and conversational agents: A bibliometric analysis. 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). https://doi.org/10.1109/IEEM.2017.8289883
   Google Scholar
• Kahn, R. L. (1980). Conboys over the life course: Attachment roles and social support. Life-span Development and Behavior, 3, 253–286.
   Google Scholar
• Kang, I., Lee, K. C., Lee, S., & Choi, J. (2007). Investigation of online community voluntary behavior using cognitive map. Computers in Human Behavior, 23(1), 111–126. https://doi.org/10.1016/j.chb.2004.03.039
   Web of Science ®Google Scholar
• Kincaid, J. P., Fishburne, J., Robert, P. R., Richard, L., & Brad, S. (1975). Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel. Defense Technical Information Center. https://doi.org/10.21236/ADA006655
   Google Scholar
• Klaw, E., Dearmin Huebsch, P., & Humphreys, K. (2000). Communication patterns in an on-line mutual help group for problem drinkers. Journal of Community Psychology, 28(5), 535–546. https://doi.org/10.1002/1520-6629(200009)28:5<535::AID-JCOP7>3.0.CO;2-0
   Web of Science ®Google Scholar
• Kožuh, I., Jeremić, Z., Sarjaš, A., Bele, J. L., & Devedžić, V. (2015). Social presence and interaction in learning environments: The effect on student success. Journal of Educational Technology & Society, 18(1), 223–236.
   Web of Science ®Google Scholar
• Kulkarni, P. V., Rai, S., & Kale, R. (2020, July 1–7). Recommender system in eLearning: A survey, Proceeding of International Conference on Computational Science and Applications: ICCSA 2019 (pp. 119–126), Springer Singapore. https://doi.org/10.1007/978-981-15-0790-8_13
   Google Scholar
• Kumar, R., Gweon, G., Joshi, M., & Cui, Y. (2007). Supporting students working together on math with social dialogue. Workshop on Speech … .
   Google Scholar
• Kumar, R., & Rosé, C. P. (2011). Architecture for building conversational agents that support collaborative learning. IEEE Transactions on Learning Technologies, 4(1), 21–34. https://doi.org/10.1109/TLT.2010.41
   Web of Science ®Google Scholar
• Lakkaraju, H., Aguiar, E., Shan, C., Miller, D., Bhanpuri, N., Ghani, R., & Addison, K. L. (2015, August 10–13). A machine learning framework to identify students at risk of adverse academic outcomes. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining – KDD’ 15, 1909–1918. https://doi.org/10.1145/2783258.2788620
   Google Scholar
• Lally, V., & Barrett, E. (1999). Building a learning community on-line: Towards socio-academic interaction. Research Papers in Education, 14(2), 147–163. https://doi.org/10.1080/0267152990140205
   Google Scholar
• Langford, C. P., Bowsher, J., Maloney, J. P., & Lillis, P. P. (1997). Social support: A conceptual analysis. Journal of Advanced Nursing, 25(1), 95–100. https://doi.org/10.1046/j.1365-2648.1997.1997025095.x
   PubMed Web of Science ®Google Scholar
• Lee, Y., & Choi, J. (2011). A review of online course dropout research: Implications for practice and future research. Educational Technology Research and Development, 59(5), 593–618. https://doi.org/10.1007/s11423-010-9177-y
   Web of Science ®Google Scholar
• Liu, L., Wagner, C., & Chen, H. (2014). Determinants of commitment in an online community: Assessing the antecedents of weak ties and their impact. Journal of Organizational Computing and Electronic Commerce, 24(4), 271–296. https://doi.org/10.1080/10919392.2014.956609
   Web of Science ®Google Scholar
• Lui, A. K.-F., Li, S. C., & Choy, S. O. (2007, July 18–20). An evaluation of automatic text categorization in online discussion analysis. Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 205–209. https://doi.org/10.1109/ICALT.2007.59
   Google Scholar
• Lui, M., & Baldwin, T. (2012, July 10). Langid. py: An off-the-shelf language identification tool. Proceedings of the ACL 2012 System Demonstrations, 25–30.
   Google Scholar
• McInnerney, J. M., & Roberts, T. S. (2004). Online learning: Social interaction and the creation of a sense of community. Educational Technology & Society, 7(3), 73–81.
   Web of Science ®Google Scholar
• Phirangee, K., & Malec, A. (2017). Othering in online learning: An examination of social presence, identity, and sense of community. Distance Education, 38(2), 160–172. https://doi.org/10.1080/01587919.2017.1322457
   Web of Science ®Google Scholar
• Piech, C., Bassen, J., Huang, J., & Ganguli, S. (2015, December 7–12). Deep knowledge tracing. Proceedings of the 28th International Conference on Neural Information Processing Systems, Volume 1. 505–513.
   Google Scholar
• Radford, A., Wu, J., Child, R., Luan, D., & Amodei, D. (2019). Language models are unsupervised multitask learners. OpenAI Blog, 1(8), 9–9.
   Google Scholar
• Rafaeli, S., Dan-Gur, Y., & Barak, M. (2008). Social Recommender systems: Recommendations in support of E-learning. In L. A. Tomei (Ed.), Online and distance learning: Concepts, methodologies, tools, and applications (pp. 2432–2448). IGI Global. https://doi.org/10.4018/978-1-59904-935-9.ch196
   Google Scholar
• Resnick, M., Silverman, B., Kafai, Y., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., & Silver, J. (2009). Scratch: Programming for all. Communications of the ACM, 52(11), 60. https://doi.org/10.1145/1592761.1592779
   Web of Science ®Google Scholar
• Richardson, J. C., Maeda, Y., Lv, J., & Caskurlu, S. (2017). Social presence in relation to students’ satisfaction and learning in the online environment: A meta-analysis. Computers in Human Behavior, 71, 402–417. https://doi.org/10.1016/j.chb.2017.02.001
   Web of Science ®Google Scholar
• Rovai, A. P. (2002). Building sense of community at a distance. The International Review of Research in Open and Distributed Learning, 3(1), 74–85. https://doi.org/10.19173/irrodl.v3i1.79
   Google Scholar
• Sarason, S. B. (1974). The psychological sense of community: Prospects for a community psychology.
   Google Scholar
• So, H.-J., & Brush, T. A. (2008). Student perceptions of collaborative learning, social presence and satisfaction in a blended learning environment: Relationships and critical factors. Computers & Education, 51(1), 318–336. https://doi.org/10.1016/j.compedu.2007.05.009
   Web of Science ®Google Scholar
• Stephens-Martinez, K., Hearst, M. A., & Fox, A. (2014, March 4–5). Monitoring moocs: Which information sources do instructors value? Proceedings of the first ACM conference on Learning @ scale, 79–88.
   Google Scholar
• Swan, K. (2002). Building learning communities in online courses: The importance of interaction. Education, Communication & Information, 2(1), 23–49. https://doi.org/10.1080/1463631022000005016
   Google Scholar
• Tait, A. (2000). Planning student support for open and distance learning. Open Learning: The Journal of Open, Distance and e-Learning, 15(3), 287–299. https://doi.org/10.1080/713688410
   Google Scholar
• Tang, S., Peterson, J. C., & Pardos, Z. A. (2016, April 25–26). Deep neural networks and how they apply to sequential education data. Proceedings of the Third (2016) ACM Conference on Learning @ Scale - L@S'16. https://doi.org/10.1145/2876034.2893444
   Google Scholar
• Tinto, V. (1994). Leaving college: Rethinking the causes and cures of student attrition. University of Chicago Press. https://doi.org/10.7208/chicago/9780226922461.001.0001
   Google Scholar
• Trausan-Matu, S., Dascalu, M., & Rebedea, T. (2014). PolyCAFe – automatic support for the polyphonic analysis of CSCL chats. International Journal of Computer-Supported Collaborative Learning, 9(2), 127–156. https://doi.org/10.1007/s11412-014-9190-y
   Web of Science ®Google Scholar
• Tsai, H.-Y. S., Shillair, R., & Cotten, S. R. (2017). Social support and “playing around”: an examination of how older adults acquire digital literacy with tablet computers. Journal of Applied Gerontology, 36(1), 29–55. https://doi.org/10.1177/0733464815609440
   PubMed Web of Science ®Google Scholar
• Vaswani, A., Shazeer, N., & Parmar, N. (2017, December 4–9). Attention is all you need. 31st Conference on Neural Information Processing Systems (NIPS 2017). 5998–6008.
   Google Scholar
• Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2015, June 7–12). Show and tell: A neural image caption generator. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3156–3164. https://doi.org/10.1109/CVPR.2015.7298935
   Google Scholar
• Vonderwell, S. (2003). An examination of asynchronous communication experiences and perspectives of students in an online course: A case study. The Internet and Higher Education, 6(1), 77–90. https://doi.org/10.1016/S1096-7516(02)00164-1
   Google Scholar
• Williamson, J. M. L., & Martin, A. G. (2010). Analysis of patient information leaflets provided by a district general hospital by the Flesch and Flesch-Kincaid method. International Journal of Clinical Practice, 64(13), 1824–1831. https://doi.org/10.1111/j.1742-1241.2010.02408.x
   PubMed Web of Science ®Google Scholar
• Wills, T. A. (1991). Social support and interpersonal relationships.
   Google Scholar
• Wilson, A., & Moffat, D. C. (2010). Evaluating scratch to introduce younger school children to programming. PPIG.
   Google Scholar
• Xing, W., & Gao, F.. (2018). Exploring the relationship between online discourse and commitment in Twitter professional learning communities. Computers & Education, 126, 388–398. https://doi.org/10.1016/j.compedu.2018.08.010
   Web of Science ®Google Scholar
• Xing, W., Tang, H., & Pei, B.. (2019). Beyond positive and negative emotions: Looking into the role of achievement emotions in discussion forums of MOOCs. The Internet and Higher Education, 43, 100690. https://doi.org/10.1016/j.iheduc.2019.100690
   Web of Science ®Google Scholar
• Yang, X., Li, G., & Huang, S. S. (2017). Perceived online community support, member relations, and commitment: Differences between posters and lurkers. Information & Management, 54(2), 154–165. https://doi.org/10.1016/j.im.2016.05.003
   Web of Science ®Google Scholar
• Yukselturk, E. (2008). Investigation of interaction, online support, course structure and flexibility as the contributing factors to students' satisfaction in an online certificate program. Journal of Educational Technology and Society, 11(4), 51–65.
   Google Scholar
• Zhao, C., & Kuh, G. D. (2004). Adding value: Learning communities and student engagement. Research in Higher Education, 45(2), 115–138. https://doi.org/10.1023/B:RIHE.0000015692.88534.de
   Web of Science ®Google Scholar