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Introducing StatHand: A Mobile Application Supporting Students’ Statistical Decision Making Peter Allan School of Psychology and Speech Pathology Curtin University Lynne Roberts School of Psychology and Speech Pathology Curtin University Frank Baughman School of Psychology and Speech Pathology Curtin University Quantitative research methods are essential to the development of professional competence across a broad range of disciplines. They are also an area of weakness for many students. In particular, students are known to struggle with the skill of selecting quantitative analytical strategies appropriate for common research questions, hypotheses and data types, and this skill is not often practiced in class. Decision trees (or graphic organisers) are known to facilitate this decision making process, but extant trees have limitations. Furthermore, research indicates that students are more likely to access mobile-based material than content delivered via the web or face-to-face. It is within this context, and with funding from the Australian Government Office for Learning and Teaching, that we developed StatHand (see https://stathand.net), a cross-platform mobile application to designed to support students’ statistical decision making. In this poster, we will briefly articulate the rationale behind StatHand, highlight ongoing research into its efficacy and provide delegates with hands-on experience with the application. Keywords: Statistics; decision tree; graphic organizer; mobile application; iPad; iPhone; iOS. Background Decision trees (also commonly referred to as “graphic organisers”) to guide statistical decision-making have been used for at least half a century (e.g., Siegel, 1956) and are now commonly included in statistics textbooks (see, for e.g., Allen, Bennett, & Heritage, 2014). Their popularity is supported by both theoretical and empirical work. Theoretically, they rest on the idea that knowledge must be organised or structured to be accessible from long-term memory. Decision trees provide this structure by explicitly highlighting the interconnectedness (and differentiation) between important statistical concepts (Schau & Mattern, 1997). Empirically, the work by Carlson and colleagues (Carlson, Protsman, & Tomaka, 2005; Protsman & Carlson, 2008) has demonstrated that decision trees can facilitate significantly faster and more accurate (by a multiple of three) statistical decision-making, compared to more traditional methods of statistical test selection (e.g., by searching through a familiar textbook). StatHand Despite their popularity, traditional, paper-based statistical decision-trees also have limitations. Furthermore, research indicates that contemporary students are more likely to access mobile based material than content delivered via the web or face-to-face (Stowell, 2011). It is within this context that we have developed StatHand, a free cross-platform mobile application designed to support students’ statistical decision making (see https://stathand.net). This application, developed with the support of the Australian Government Office for Learning and Teaching, guides users through a series of simple, annotated questions to ultimately offer them the guidance necessary to conduct, interpret and report a statistical test suitable for their circumstances. References Allen, P., Bennett, K., & Heritage, B. (2014). SPSS Statistics: A practical guide (version 22). Melbourne, Australia: Cengage Learning. Carlson, M. Protsman, L. & Tomaka, J. (2005). Graphic organizers can facilitate selection of statistical tests. Part 1 - Analysis of group differences. Journal of Physical Therapy Education, 19, 57-66. Protsman, L., & Carlson, M. (2008). Graphic organizers can facilitate selection of statistical tests: Part 2 – Correlation and regression analysis. Journal of Physical Therapy Education, 22, 36-41. 614 P:7
Schau, C., & Mattern, N. (1997). Use of map techniques in teaching applied statistics courses. The American Statistician, 51, 171-175. doi:10.1080/00031305.1997.10473955 Siegel, S. (1956). Nonparametric statistics for the behavioural sciences. New York, NY: McGraw-Hill. Stowell, J. R., (2011). Emerging technologies to improve teaching and learning in a digital world. In D. S. Dunn, J. H. Wilson, J. E. Freeman, & J. R. Stowell (Eds.), Best practices for technologyenhanced teaching & learning: Connecting to psychology and the social sciences (pp. 299-316). New York, NY: Oxford University Press. Allen, P., Roberts, L., & Baughman, F. (2015). Introducing StatHand: A Mobile Application Supporting Students’ Statistical Decision Making. In T. Reiners, B.R. von Konsky, D. Gibson, V. Chang, L. Irving, & K. Clarke (Eds.), Globally connected, digitally enabled. Proceedings ascilite 2015 in Perth (pp. P7:-P:8). Note: All published papers are refereed, having undergone a double-blind peer-review process. The author(s) assign a Creative Commons by attribution licence enabling others to distribute, remix, tweak, and build upon their work, even commercially, as long as credit is given to the author(s) for the original creation. 615 P:8
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ascilite2015 Australasian Society f
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To type or handwrite: student's exp
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Concise papers Learning maps: A des
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The three pillars to building staff
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Posters Metacognitive Development i
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Discussion Papers Decisions and des
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The Conceived, the Perceived and th
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concentration of evaluations being
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“I just felt like we skimmed over
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Figure 3: Student Infographic Proto
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Learning design for science teacher
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existing teaching practice with tec
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the module, 7% said they had heard,
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Calculus 1, 2014 (undergraduat e, 5
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ambitions towards educational techn
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Tensions and turning points: explor
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Virtual Learning Environment Teachi
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• Virtual Learning Environment
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newsroom role-playing scenario requ
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Lisa’s fourth turning point event
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vertically in that the lecturer may
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Navigate Me: maximising student pot
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improve academic outcomes, rather t
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Figure 4: Part of an action plan Fr
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Most common issues One useful produ
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communication/assessment and assist
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Designing an authentic professional
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for designing authentic learning en
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Bannan (2010) proposes a simpler fo
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An overview of CMALT requirements W
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students. From the roof, the overal
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Bruns, A. (2007, March 21-23). Beyo
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Investigating the effectiveness of
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labile, and diachronic interaction,
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learning. It was thought that this
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Table 2: Summary of questionnaire r
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the material (E) my colleagues (S)
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co-construction of knowledge by sup
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Community volunteers in collaborati
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Induction and persistence How are v
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Figure 1: Contributions made in gen
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such acts as mentorship: One is the
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established a record of high qualit
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the OERu project or similar open de
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A ‘participant first’ approach
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five ways in which learning resourc
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Participant Perspective Consider yo
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key focus was on designing tasks th
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Management System, the primary tool
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Jordan, K. (2015). MOOC completion
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new pedagogical methods to engage t
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een perceived to be boring, with lo
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accounting concepts to others. Post
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the one model provided by the resea
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workplace. A further graduate attri
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Moy, J. (1999). The Impact of gener
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provider to understand the dependen
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• In the first semester of their
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Age at Course Start 22.98 4.3 >99.9
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3 1 Figure 4. Attrition Rate: (Top)
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New applications, new global audien
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The modality of game-based learning
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3% 2% 2% 2% 2% 2% Education Other H
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Machinima is being utilised to supp
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a lack of support from many institu
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2015). There are new hardware and s
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Gregory, S., Gregory, B., Wood, D.,
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studies have found that university
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Importantly, TEL is a broad term an
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needs, etc.). Educators create digi
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could take the form of authorities
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To type or handwrite: student's exp
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Phase 1 Institution wide online sur
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There were just over 200 students (
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exam questions for computerisation,
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students on these two issues by cou
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from http://educationtechnologysolu
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Predictors of students’ perceived
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Lim, Morris, and Yoon (2006) sugges
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The questionnaire was pilot tested
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** p < .001 - a This parameter was
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Among the four exogenous variables,
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influence on perceived course outco
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5(3), 255-269. Marks, R. B., Sibley
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and continuously evaluate the deliv
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supporting teachers in the transiti
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etween other VET schools and the co
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sharing of the tasks, and their pee
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learning. Digital education has led
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McLoughlin, C. (2013). Teacher prof
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advancing learning analytics (Dawso
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contact students. Additionally, we
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Figure 4: Screenshot of part of the
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Change The IRAC framework allowed u
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Mazza, R., Bettoni, M., Faré, M.,
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misconceptions (e.g. Lehman, D'Mell
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understanding of the material on th
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6 5 4 3 2 1 0 Excited Interested Co
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Results The participants in the sim
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The two studies presented here were
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The author(s) assign a Creative Com
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approach which focuses on documenti
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within the context of their assessm
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perceptions of the use of technolog
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frequently than library databases.
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Figure 1: Sample of technology mapp
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Conclusion In contrast with other s
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Yorke, M. (2003). Formative assessm
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Erickson, Greer, & Gutwin, 2011), e
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higher than the Australian universi
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educators must be careful to offer
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Miles, C.A. (2015). Strong and incr
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in formal online education. To do s
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week analysis for the 8-week 3 cour
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First Quartile 1 1 Median 1 1 Mean
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participation. Similar to Gilliani
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Coffrin, C., Corrin, L., de Barba,
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Designing for relatedness: learning
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inquiry. This collaborative yarning
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online in the LMS until connections
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each other in educational environme
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Figure 2: Evaluation of Components
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Conclusion The experience of Aborig
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Torche, F., & Valenzuela, E. (2011)
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types of content and new models of
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ased on real journalism content 10
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efficiently access the key literatu
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systems. These initiatives are valu
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Ren, X. (2013). Beyond open access:
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within a constructivist framework (
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library, learning centers and couns
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testing occurs beyond that? What is
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Interdisciplinary opportunities and
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interdisciplinary project that aime
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J F M A M J J A S O N D 2014 Academ
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also vital. Achieving the correct b
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odies. Moreover, attracting enough
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Paving the way for institution wide
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Activity (Workshop) Description and
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Keyboard The physical keyboard is a
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• Annotating diagrams • Ability
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Conclusion This project demonstrate
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MyCourseMap: an interactive visual
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Figure 1: MyCourseMap visual overvi
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The tool has particular applicabili
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11. Media gallery 10. Graduate attr
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Barriers or challenges. actually go
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Figure 8: The unit information page
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Standing on the shoulders of others
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designer employed by La Trobe Unive
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student interaction are essential c
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Figure 2: Weekly learning design se
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The current [template] speaks clear
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Weaver, D, Robbie, D, Kokonis, S &
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Background Learning analytics The r
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and conducted workshops as the proj
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• Communication (email, Facebook,
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180 Daily Weekly Fortnightly Monthl
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Relevance and comprehensiveness of
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Further Information More informatio
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Virtual worlds have great potential
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conceptual understanding, and (3) m
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Figure 5: Map and Hints of the VW E
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All quiz questions are saved in a X
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Gütl, C. (2011). The Support of Vi
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Remote Access Laboratories for Prep
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een derived from the STEBI-B (Enoch
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15 Students’ achievement in techn
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RALfie offers both hands-on and onl
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and non-user groups and efforts hav
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Maxwell, A. D., Orwin, L., Kist, A.
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To evaluate the feasibility of usin
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their observed behaviour. Towards t
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study and help them adapt to a new
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main student concern, there are add
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Information delivered through the a
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Learning maps: A design-based appro
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4 Integrative • Mixed research me
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Dede, C. (2004). If design-based re
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LAK demonstrates a great deal of co
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Experiences from early reusability
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The future of practice-based resear
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1.1. Consider factoring in control
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3. Consider the research questions
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Features of an online English langu
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Figure 2: Embedded Matbury’s MP3
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References Ayres, P., & Sweller, J.
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that will provoke a specific kind o
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Preliminary results The study is on
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Using expectation confirmation theo
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Findings and Discussion The data an
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Fawcett, S. L. (2002). Group gaming
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visualization affects learning but
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Demonstrate the ability to construc
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Implementing blended learning at fa
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Exploring approaches taken at other
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But, J. & Shobbrook, R. (2012). Web
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potential of social media in educat
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Another tweet included a photo of t
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Teachers Cloud-based Content Creati
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Deviation CBLD? 1. Learning Outcome
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McGee, P., & Reis, A. (2012). Blend
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The Next Wave of learning Innovatio
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than a static system / website / mo
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Loop: A learning analytics tool to
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Figure 1: The Loop tool dashboard f
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efore it is released as an open sou
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programmed through freely available
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In addition to this experiment, at
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An investigation of blended learnin
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Results The experiences of learning
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Chan, S. (1999). The Chinese learne
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ambiguous nature of discussion post
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Discussion Linking assessment to on
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Digital Futures research and societ
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challenges of specifying real-world
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Hemsley-Brown, J., & Sharp, C. (200
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is taking digital technologies into
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The Making the Connection project t
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Jeroschewski, A., Levisse, A., Sala
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(2014, p.19). New business models f
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Table 3. Badges on lifelong learnin
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The Agile Learning Model: Using big
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Preliminary results Methodology A p
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(e.g. students that were directed t
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It has been predicted that “by th
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including: timely access to teacher
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Occupational Medicine Simulation Pr
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just being presented with a data sh
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Gustafson, P. (2001). Meanings of p
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This exploratory research step focu
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Week 3 of the course. Figure 2: Acc
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A pedagogical end game for exams: a
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that a bachelor degree is the new h
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However, this vision is not pie-in-
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Are Higher Education Institutions P
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Method Design In order to reach a l
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of LA frameworks and on expected be
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Talented, and Learning and Behaviou
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I felt prepared to set my own LGs 5
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Measuring creativity in collaborati
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y Beghetto and Kaufman (2013), who
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And how does this creativity become
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In short, research in these paradig
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esearch is heavily context dependen
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Collaboration between Primary Stude
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Results The analysis of the observa
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even difficult for them to bring to
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A digital what? Creating a playspac
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As of writing, plans are underway t
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Lamond, H. & Rowatt, A.J. (2015). A
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Furthermore, staff PD in digital te
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Figure 1: Expert Review of Peer Rev
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Developing Self-Regulated Learning
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Technological Structure The underly
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analytics-functionality-and-wirefra
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model of professional learning that
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ecognition of their teaching in a t
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Connecting fun and learning- an act
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Figure 1. Engestrom's Activity Syst
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pedagogical and technological barri
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(e.g. Graesser et al., 2005), it ca
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ability to perform well on a test a
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Exploring my university students’
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15.00% 10.00% 5.00% 0.00% created a
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Miller, M. D. (2014). Online Learni
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component, evaluation that connects
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not be enough to encourage its wide
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Benchmarking for technology enhance
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Findings groups to try and streamli
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Author, M. (2014a). Benchmarking fo
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uploaded document with consistent m
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Promoting Critical Thinking in a La
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Table 1: Overview Summary of How In
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and post-exam online surveys were a
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Seow, T.K. & Soong, S.K.A. (2015).
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family and friends to help them. Di
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Upon completion of the unit, studen
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Blended Learning Adoption Monitorin
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for each stage are listed as Strate
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References Alammary, A., Sheard, J.
Page 563 and 564: environment), and (3) civic engagem
Page 565 and 566: Kolb, D. A. (1984). Experiential le
Page 567 and 568: Freitas, 2006; Fröding & Peterson,
Page 569 and 570: The research methodologies appropri
Page 571 and 572: Teräs, H. (2014). Collaborative on
Page 573 and 574: Upon completion of a learning activ
Page 575 and 576: Figure 3: Drag and drop application
Page 577 and 578: Pre-service teachers’ reflections
Page 579 and 580: like the Renaissance, and the teach
Page 581 and 582: from http://www.researchgate.net/pu
Page 583 and 584: concept of summer learning loss. Th
Page 585 and 586: Figure 2: Relationships between Cou
Page 587 and 588: Webby, B., Quinn, D., Albrecht, A.,
Page 589 and 590: The University’s Approach to a Le
Page 591 and 592: Figure 2: Draft CSU Learning Analyt
Page 593 and 594: Dreaming of Electric Sheep: CSU’s
Page 595 and 596: student learning. Furthermore, many
Page 597 and 598: something that is done by the “da
Page 599 and 600: SkillBox: a pilot study Rachel Anne
Page 601 and 602: agree, A=agree, N=neutral, D=disagr
Page 603 and 604: Whitsed, R.A. & Parker, J. (2015).
Page 605 and 606: critical theory and feminist studie
Page 607 and 608: connectedness between individual an
Page 609 and 610: Description of proposed interventio
Page 611 and 612: Kaufman & L. Li (Eds.), Routledge i
Page 613: Matthews, A., Aggarwal, R., and Lim
Page 617 and 618: eight of the nine interviewees in a
Page 619 and 620: communicate proposals, plans, compa
Page 621 and 622: Creating concept vignettes as a mod
Page 623 and 624: Preparing Students for Future Learn
Page 625 and 626: References Association for the Adva
Page 627 and 628: The use of rubrics for the assessme
Page 629 and 630: Developing an online challenge-base
Page 631 and 632: Let’s Talk Learning Analytics and
Page 633 and 634: Experiential Learning in Accounting
Page 635 and 636: The CSU Online Learning model Tim K
Page 637 and 638: MOOCs as spaces to innovate Alison
Page 639 and 640: The author(s) assign a Creative Com
Page 641 and 642: In terms of educational uses, the l
Page 643 and 644: The framework At the University of
Page 645 and 646: Enhancing Workplace Learning throug
Page 647 and 648: Figure 2: GPS for WPL structure Con
Page 649 and 650: The success of this new support mod
Page 651 and 652: Acknowledgement Supported by the Di
Page 653 and 654: Discussion Who owns learning? Educa
Page 655 and 656: Pawlaczek, Z. & Allan, G. (2015). D
Page 657 and 658: These divergent student perceptions
Page 659 and 660: Connecting or constructing academic
Page 661 and 662: define one academic literacy for al
Page 663 and 664: Learning, 12(3), 139-160. Retrieved
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Data collection The seven case stud
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share their own experiences in orde
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of Goals-Signals-Metrics as columns
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material, perform self-assessment t
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Many educational technology researc
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non-technical users can participate
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particularly in the early stages. T
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Williams, T., Kaui,T. & Ernst, J. (
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Campbell & Oblinger, 2007; Clow, 20
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Johnson, L., Adams Becker, S., & Ha
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sine qua non of LA, and a recent co
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Lodge, J., & Lewis, M. (2012). Pige
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academic referencing system Sente 6
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Norton, A. (2012). Mapping Australi
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How new teaching methods affect our
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Calderon, O., Ginsberg, A., Ciabocc
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thus enabling libraries to learn ab
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Formulating research questions whic
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as well as examples of each element
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the learning materials are presente
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activity results in a collaborative
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the definition, not the technology.
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in researching and developing teach
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2. Examples of open scholarship net
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#NPF14LMD Learners and Mobile Devic
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Adrienne Moyle Academic Advisor wit
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Easing into mobile learning Angela
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Clinical Logs: Best Practices in th
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Digitally enabled learning through
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Using interactive multimedia for
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References Barbezat, D., & Bush, M.
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The author(s) assign a Creative Com
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ascilite 2015 Reviewers Reem Abu As
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Kulari Lokuge Dona Swinburne Univer
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