Learning analytics for learning design in online distance learning

References

• Baker, R. (2010). Data mining for education. In P. Peterson, R. Tierney, E. Baker, & B. McGaw (Eds.), International encyclopedia of education (3rd ed., pp. 112–118). Amsterdam, The Netherlands: Elsevier Science.
   Google Scholar
• Bakharia, A., Corrin, L., de Barba, P., Kennedy, G., Gašević, D., Mulder, R., … Lockyer, L. (2016). A conceptual framework linking learning design with learning analytics. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 329–338). New York, NY: ACM. doi:10.1145/2883851.2883944
   Google Scholar
• Bennett, S., Agostinho, S., & Lockyer, L. (2015). Technology tools to support learning design: Implications derived from an investigation of university teachers’ design practices. Computers & Education, 81, 211–220. doi:10.1016/j.compedu.2014.10.016
   Web of Science ®Google Scholar
• Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2018). Analyzing social networks(2nd. ed.). Thousand Oaks: Sage.
   Google Scholar
• Celik, D., & Magoulas, G. D. (2016). Approaches to design for learning. In D. K. W. Chiu, I. Marenzi, U. Nanni, M. Spaniol, & M. Temperini (Eds.), Advances in Web-Based Learning – ICWL 2016. Proceedings of the 15th International Conference on Web-Based Learning (pp. 14–19). New York, NY: Springer.
   Google Scholar
• Clow, D. (2013). An overview of learning analytics. Teaching in Higher Education, 18, 683–695. doi:10.1080/13562517.2013.827653
   Web of Science ®Google Scholar
• Conole, G. (2012). Designing for learning in an open world (Vol. 4). New York, NY: Springer Science & Business Media.
   Google Scholar
• Cross, S., Galley, R., Brasher, A., & Weller, M. (2012). OULDI-JISC Project Evaluation Report: The impact of new curriculum design tools and approaches on institutional process and design cultures. Milton Keynes, England: Open University. Retrieved from http://oro.open.ac.uk/34140/
   Google Scholar
• Dalziel, J., Conole, G., Wills, S., Walker, S., Bennett, S., Dobozy, E., … Bower, M. (2016). The Larnaca Declaration on Learning Design. Journal of Interactive Media in Education, 2016(1). doi:10.5334/jime.407
   Web of Science ®Google Scholar
• Delazer, M. (2003). Neuropsychological findings on conceptual knowledge of arithmetic. In A. Baroody & A. D. Dowker (Eds.), The development of arithmetic concepts and skills: Constructing adaptive expertise (pp. 385–407). Mahwah, NJ: Erlbaum.
   Google Scholar
• Dietterich, T. (1995). Overfitting and undercomputing in machine learning. ACM Computing Surveys, 27, 326–327. doi:10.1145/212094.212114
   Web of Science ®Google Scholar
• Dobozy, E. (2013). Learning design research: Advancing pedagogies in the digital age. Educational Media International, 50, 63–76. doi:10.1080/09523987.2013.777181
   Google Scholar
• du Boulay, B., Poulovassilis, A., Holmes, W., & Mavrikis, M. (2018). What does the research say about how artificial intelligence and big data can close the achievement gap? In R. Luckin (Ed.), Enhancing learning and teaching with technology (pp. 316–327). London, England: Institute of Education Press.
   Google Scholar
• Ferguson, R. (2012). The state of learning analytics in 2012: A review and future challenges ( Technical Report No. KMI-12-01). Milton Keynes, England: The Open University, Knowledge Media Institute. Retrieved from http://kmi.open.ac.uk/publications/techreport/kmi-12-01
   Google Scholar
• Gašević, D., Dawson, S., & Siemens, G. (2015). Let’s not forget: Learning analytics are about learning. TechTrends, 59, 64–71. doi:10.1007/s11528-014-0822-x
   Web of Science ®Google Scholar
• Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California Riverside.
   Google Scholar
• Haya, P. A., Daems, O., Malzahn, N., Castellanos, J., & Hoppe, H. U. (2015). Analysing content and patterns of interaction for improving the learning design of networked learning environments. British Journal of Educational Technology, 46, 300–316. doi:10.1111/bjet.12264
   Web of Science ®Google Scholar
• Hora, M. T., & Ferrare, J. J. (2013). Instructional systems of practice: A multidimensional analysis of math and science undergraduate course planning and classroom teaching. Journal of the Learning Sciences, 22, 212–257. doi:10.1080/10508406.2012.729767
   Web of Science ®Google Scholar
• IMS Global. (2003). IMS learning design best practice and implementation guide. Lake Mary, FL: Author. Retrieved from https://www.imsglobal.org/learningdesign/ldv1p0/imsld_bestv1p0.html
   Google Scholar
• Joksimović, S., Gašević, D., Loughin, T. M., Kovanović, V., & Hatala, M. (2015). Learning at distance: Effects of interaction traces on academic achievement. Computers & Education, 87, 204–217. doi:10.1016/j.compedu.2015.07.002
   Web of Science ®Google Scholar
• Kapur, M. (2008). Productive failure. Cognition and Instruction, 26, 379–424. doi:10.1080/07370000802212669
   Web of Science ®Google Scholar
• Koedinger, K. R., Booth, J. L., & Klahr, D. (2013). Instructional complexity and the science to constrain it. Science, 342, 935–937. doi:10.1126/science.1238056
   PubMed Web of Science ®Google Scholar
• Koper, R., & Olivier, B. (2003). Representing the learning design of units of learning. Journal of Educational Technology & Society, 7(3), 97–111. Retrieved from https://www.learntechlib.org/j/JOETS/
   Web of Science ®Google Scholar
• Laurillard, D. (1993). Rethinking university teaching: A conversational framework for the effective use of learning technologies. London, England: Routledge. doi:10.4324/9780203160329
   Google Scholar
• Laurillard, D., & McAndrew, P. (2001). Virtual teaching tools: Bringing academics closer to the design of e-learning. In S. Banks, P. Goodyear, V. Hodgson, & D. McConnell (Eds.), Proceedings of the Third International Conference on Networked Learning 2002: A Research-based Conference on E-learning in Higher Education and Lifelong Learning (pp. 11–16). Retrieved from http://www.networkedlearningconference.org.uk/past/nlc2002/proceedings/symp/01.htm
   Google Scholar
• Laurillard, D. (2013). Teaching as a design science: Building pedagogical patterns for learning and technology. New York, NY: Routledge.
   Google Scholar
• Laurillard, D., Charlton, P., Craft, B., Dimakopoulos, D., Ljubojevic, D., Magoulas, G., … Whittlestone, K. (2013). A constructionist learning environment for teachers to model learning designs. Journal of Computer Assisted Learning, 29, 15–30. doi: 10.1111/j.1365-2729.2011.00458.x
   Web of Science ®Google Scholar
• Li, N., Marsh, V., Rienties, B., & Whitelock, D. (2017). Online learning experiences of new versus continuing learners: A large-scale replication study. Assessment & Evaluation in Higher Education, 42, 657–672. doi:10.1080/02602938.2016.1176989
   Web of Science ®Google Scholar
• Lockyer, L., & Dawson, S. (2011). Learning designs and learning analytics. In P. Long & G. Siemens (Eds.), Proceedings of the 1st International Conference on Learning Analytics and Knowledge (pp. 153–156). New York, NY: ACM. doi:10.1145/2090116.2090140
   Google Scholar
• Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, 57(10), 1439–1459. doi:10.1177/0002764213479367
   Web of Science ®Google Scholar
• Luckin, R., Cukurova, M., Baines, E., Holmes, W., & Mann, M. (2017). Solved! Making the case for collaborative problem-solving. London, England: Nesta. Retrieved from https://www.nesta.org.uk/report/solved-making-the-case-for-collaborative-problem-solving
   Google Scholar
• Mangaroska, K., & Giannakos, M. N. (2018). Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning. IEEE Transactions on Learning Technologies, 1–1. doi:10.1109/TLT.2018.2868673
   Web of Science ®Google Scholar
• Mayer-Schonberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work and think. London, England: John Murray.
   Google Scholar
• Mor, Y., & Craft, B. (2012). Learning design: Reflections upon the current landscape. Research in Learning Technology, 20(Supplement: ALT–C 2012 Conference Proceedings), 85–94. doi:10.3402/rlt.v20i0.19196
   Google Scholar
• Newman, M. E. (2001). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review E, 64. doi:10.1103/PhysRevE.64.016132
   Web of Science ®Google Scholar
• Nguyen, Q., Rienties, B., & Toetenel, L. (2017a). Mixing and matching learning design and learning analytics. In P. Zaphiris & A. Ioannou (Eds.), Learning and Collaboration Technologies: Technology in Education. Proceedings of the 4th International Conference on Learning and Collaboration Technologies (pp. 302–316). Cham, Switzerland: Springer. doi:10.1007/978-3-319-58515-4_24
   Google Scholar
• Nguyen, Q., Rienties, B., & Toetenel, L. (2017b). Unravelling the dynamics of instructional practice: A longitudinal study on learning design and VLE activities. In A. Wise, P. H. Winne, & G. Lynch (Eds.), Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 68–177). New York, NY: ACM. doi:10.1145/3027385.3027409
   Google Scholar
• Nguyen, Q., Rienties, B., Toetenel, L., Ferguson, R., & Whitelock, D. (2017). Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates. Computers in Human Behavior, 76, 703–714. doi:10.1016/j.chb.2017.03.028
   Web of Science ®Google Scholar
• Persico, D., & Pozzi, F. (2015). Informing learning design with learning analytics to improve teacher inquiry. British Journal of Educational Technology, 46, 230–248. doi:10.1111/bjet.12207
   Web of Science ®Google Scholar
• Rienties, B., Nguyen, Q., Holmes, W., & Reedy, K. (2017). A review of ten years of implementation and research in aligning learning design with learning analytics at the Open University UK. Interaction Design and Architecture(s) Journal - IxD&A, 33, 134–154. Retrieved from http://ixdea.uniroma2.it/inevent/events/idea2010/index.php?s=102
   Google Scholar
• Rienties, B., & Toetenel, L. (2016). The impact of learning design on student behaviour, satisfaction and performance: A cross-institutional comparison across 151 modules. Computers in Human Behavior, 60, 333–341. doi:10.1016/j.chb.2016.02.074
   Web of Science ®Google Scholar
• Rummel, N., Mavrikis, M., Wiedmann, M., Loibl, K., Mazziotti, C., Holmes, W., & Hansen, A. (2016). Combining exploratory learning with structured practice to foster conceptual and procedural fractions knowledge. In C. K. Looi, J. Polman, U. Cress, & P. Reimann (Eds.), Transforming Learning, Empowering Learners. Proceedings of the International Conference of the Learning Sciences (Vol. 1, pp. 58–65). Singapore: International Society of the Learning Sciences. doi:10.22318/icls2016.10
   Google Scholar
• Siemens, G. (2010). About LAK ’11: 1st International Conference on Learning Analytics and Knowledge 2011. Retrieved from https://tekri.athabascau.ca/analytics/about
   Google Scholar
• Siemens, G. (2012). Learning analytics: Envisioning a research discipline and a domain of practice. In S. Buckingham Shum, D. Gasevic, & R. Ferguson (Eds.), Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 4–8). New York, NY: ACM. doi:10.1145/2330601.2330605
   Google Scholar
• Toetenel, L., & Rienties, B. (2016a). Analysing 157 learning designs using learning analytic approaches as a means to evaluate the impact of pedagogical decision making. British Journal of Educational Technology, 47, 981–992. doi:10.1111/bjet.12423
   Web of Science ®Google Scholar
• Toetenel, L., & Rienties, B. (2016b). Learning design: Creative design to visualise learning activities. Open Learning: The Journal of Open, Distance and e-Learning, 31, 233–244. doi:10.1080/02680513.2016.1213626
   Web of Science ®Google Scholar
• van Merriënboer, J. J. G., & Kirschner, P. A. (2017). Ten Steps to complex learning: A systematic approach to four-component instructional design. New York, NY: Routledge.
   Google Scholar
• Wise, A. F., & Shaffer, D. W. (2015). Why theory matters more than ever in the age of big data. Journal of Learning Analytics, 2(2), 5–13. doi:10.18608/jla.2015.22.2
   Google Scholar
• Zerihun, Z., Beishuizen, J., & Os, W. V. (2012). Student learning experience as indicator of teaching quality. Educational Assessment, Evaluation and Accountability, 24, 99–111. doi:10.1007/s11092-011-9140-4
   Web of Science ®Google Scholar