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ICOTS 10 2018
Kyoto, Japan
Keynotes
 Education of the grammar of science for sciences and society : Hiroe Tsubaki
 Cultivating Creativity in Data Work : Hilary Parker
 See how the rest of the world lives, sorted by income : Anna Rosling Rönnlund
 Through a glass darkly : Chris Wild
 Combining 360 degree reflections for looking forward : Helen MacGillivray
Topic 1: Statistics education: Looking back, looking forward
1A: An Innovative Educational Model of Elementary Statistics Course with MOOC, PBL, and AI (panel)
1B: Statistical education software: Looking back and looking forward
1C: Statistics Education: What, how and with whom?
1D: Out of the past and into the future: a global perspective
1E: Assessment: its lessons and effects
1F: Statistics as a Liberal Art and the Real World
1G: Backwards and forwards with research
1H: Data science, technology and the future
1I: The significance of establishment of Japanese Interorganizational Network for Statistics Education
Topic 2: Statistics education at the school level
2A: Learning to reason with statistical models and modeling at the school level (Part 1)
2B: Engaging young learners in using models and modelling in data investigations (Modelling Part 2)
2D: A perspective on statistics education from three different countries
2E: Linking research and practice in teaching and learning statistics at the school level
2F: Perspectives on statistics education with a focus in primary schools
2G: Probability and modelling across the schooling levels
2H: Perspectives on statistics education with a focus in secondary schools  session 1
2I: Perspectives on statistics education with a focus in secondary schools  session 2
2J: Activelearning approach for statistics in school education
Topic 3: Statistics education at the postsecondary level
3A: Developing undergraduate data science programs grounded in statistics
3B: Randomisation and bootstrapping: the quick way to inference
3C: Modern data and visualizations in the introductory statistics course
3D: Preparing preservice statistics teachers across the grade levels
3E: Students’ negative attitudes towards statistics: an arduous challenge
3F: Statistical computing and communication
3G: Developing understanding of statistical concepts: From undergraduate students to preservice mathematics teachers
3H: Distributions to spatial statistics: New approaches to teaching statistic
Topic 4: Improving teaching and capacity in statistics education
4A: Statistical education: the education of teachers and children
4B: An Inquiry Teaching Environment for Data Producers: Statistics Tasks for Elementary Years of Schooling
4C: ISLP improving teaching and capacity in statistics education in IberoAmerica
4E: Teachers’ knowledge and curriculum
4F: Teachers, their questions, and their interpretations
4G: Professional Development Programs
4H: Statistical reasoning and teaching and learning processes
4I: Challenges and different pedagogies for the teaching of statistics
4J: Innovative projects for statistical education
4K: Curriculum and unique approaches for statistics discipline in various departments and centers at Japanese Private Universities
Topic 5: Statistics education in the workplace, government and across disciplines
5A: Official Statistics for Education  Consolidated efforts of Japanese National Statistic Institutes
5C: Statistical Education and Training for Public Policies
5D: Statistical Education and Work Integrated Learning
5E: Statistics Education Across Discipline
5F: Statistical Education for Decision Makers for Evidence Based Policy Making
5G: Designing Collaborative and Tailored Training in Statistics and Data Science
5H: Statistics Education Across Disciplines: pedagogy and assessment for statistical literacy, critical thinking, and evidencebased practice
5I: Understanding the statistical education needs of researchers in applied disciplines
5J: Education of statistical quality control for industries in Japan
Topic 6: Innovations in teaching probability
6A: Conditional Probability, Part 1: Learning probability with visualisation
6B: Learning Conditional Probability, Part 2
6C: Teaching Probability in School  Understanding Probability and Linking to Statistical Inference
6D: Role of Probability ‘Games’ in Learning
6E: Concepts in teaching probability: learning obstacles and proposals for how to overcome them
6F: Novel Approaches to Teaching Probability
6G: Challenges in Teaching Probability
6H: Postsecondary Conceptions of Probability
Topic 7: Statistical literacy in the wider society
7A: Promoting understanding of civic statistics: Linking conceptual frameworks, datasets, visualizations, and resources
7B: ISLP past and now
7C: Promoting statistical literacy with visualisation
7D: Fostering students‘ knowledge and statistics related affect
7E: Using statistical literacy in tools for the society
7F: Challenges for statistics in the past and in the future
7H: Statistical literacy of teachers
Topic 8: New approaches to research in statistics education
8A: Inference in Times of Crisis, Part 1
8B: Inference in Times of Crisis, Part 2
8C: Reasoning
8D: New Methods in the Age of Big Data
8E: Theory and Frameworks
 8E1: Use of the focusing framework for characterizing students’ foci of attention when reasoning about data distributions : Luis Saldanha, Mathieu Thibault
 8E2: Revealing Conceptual Difficulties when Interpreting Histograms: An EyeTracking Study : Lonneke Boels, Rutmer Ebbes, Arthur Bakker, Wim van Dooren, Paul Drijvers
 8E3: Towards a researchbased framework for statistics education : Darren Macey, Ellen Jameson, Rachael Horsman, Vinay Kathotia, Lynne Mcclure, Lucy RycroftSmith
Topic 9: Technology and multimedia in statistics education
9A: Supporting students doing data analysis by using digital tools designed for use by students
9B: Data science in secondary education
9C: Using R for effective teaching of Statistics
9D: Engaging students in learning statistics
9E: Software and smartphone technology developments
9F: Using data visualization to build statistical thinking
9G: Design matters: How resources and experiences impact learning in online courses
9H: Teaching Statistics Online
9I: Gathering and modeling data
9J: Use of new technology for promoting classroom engagement
9K: Alternative and creative ways to teach statistics
9L: Trends in statistical education via internet in Japan
9M: Statistics Education with MOOC
Topic 10: Organisations and collaboration in statistics education
10A: Collaboration between industries/internationalconnections and universitylevel education:
10B: Activites related to interaction with schools
Contributed papers
 C102: Preservice Mathematics Teachers' TPACK Development in Statistics Teaching: A Microteaching Lesson Study : Gamze Kurt Birel, Erdinç Çakıroğlu
 C103: Developments of teachers’ knowledge facets in teaching statistics with digital tools measured with retrospective selfassessment : Ralf Nieszporek, Rolf Biehler, Birgit Griese
 C104: Cognitive transfer assessment in postsecondary statistics : Matthew Beckman, Robert delMas
 C105: School students’ skills to compare datasets : Burkhard Priemer, Wiebke Musold
 C108: Attitudes & Beliefs in Statistics Learning for Social Science Graduate students : Liuli Huang, Erin ScottStewart
 C110: Simulations for addicts of gambling : Piet van Blokland
 C115: Social and Economic Networks and Financial Literacy in Statistics Classes: Lessons and Experiences : Peter Kovacs, Klara Kazar, Eva Kuruczleki
 C117: Statistics: A Window to Understanding Diversity : Mahtash Esfandiari
 C118: Do Video Clips and Online Selftests have Added Value in Educating Statistics ? : Elly Korendijk, Jos Hageman
 C119: DunningKruger effect for students taking statistics courses : Carl Lee, Aklilu Zeleke
 C120: Graduate Students Teaching Statistics: Their Experiences In Community and Beliefs About Teaching : Nicola Justice
 C121: Innovations in statistical training: reflections from the UK QStep Initiative : Jackie Carter, Mark Brown
 C124: The use of a storybased task to explore sampling distributions : Collette Lemieux
 C131: Effect size and statistical inference : Jeffrey Witmer
 C135: DataDriven Learning Strategy in Introductory Statistics Courses : Xiaoyi Ji
 C138: Statistical Contents and Lessons in the Japanese Curriculum of Mathematics for Upper Secondary Schools : Yuichi Oguchi, Yasuhiro Kikuchi
 C139: Teaching practice of “analysis of data” using computer games — team making with Quality Control problem solving method : Tomomi Masuda
 C141: An education curriculum for developing analytical system engineer being good at statistics : Naoko Sakurai
 C142: Perspectives in Teaching Statistics in a Pedagogy Course in DE : Auriluci Figueiredo, Michel Costa
 C145: The Accessibility Analysis of Senior High School Statistics Texts in Indonesian Textbooks : Nurul Taflihati Masykar, KaiLin Yang, Khairiani Idris
 C146: Building a culture of data driven decision making in higher education using data warehousing : Johnson Mwangi, Bernard Alaka
 C147: The Effect of the Structure of Contingency Table Data on Students’ Inferences : TingYing Chu, KaiLin Yang, XinYi Liu
 C152: Decisionmaking in uncertaintyinfused learning situations with experiments in physics classes : Tobias Ludwig, Burkhard Priemer, Doris Lewalter
 C155: Using R to teach statistics : Charles Taylor
 C158: Comparing Instructor Created vs. Externally Created Homework Assignments And Their Effects On Exam Scores : David Swart, Lynette Hudiburgh, Karsten Maurer
 C159: Impacts of A Teaching Statistics MOOC on Educators’ Perspectives and Practice : Gemma Mojica, Hollylynne Lee, Jennifer Lovett, Christina Azmy
 C167: Can a SimulationBased Inference course be flipped? : Noelle Pablo, Beth Chance
 C168: An Integrative Work in Statistical Classes : Diana Kohan, Teresita Terán, Marisa Battisti
 C170: Activities and types of statistical graphs in textbooks of primary education in Perú : Danilo DíazLevicoy, Miluska Osorio, Felipe RuzÁngel
 C171: Improving capacity and quality of undergraduate statistics instruction through researchbased TA training experiences : Jennifer Kaplan, Kristen Roland
 C174: Implementing a SimulationBased Inference Curriculum in Indonesia: a Preliminary Report : Kie Van Ivanky Saputra, Olivia Couch
 C175: What is Statistics? Examining the Disciplinary Beliefs of Incoming Statistics TAs : Kelly Findley, Jennifer Kaplan
 C176: Building support communities for statistics educators : Lynette Hudiburgh, Amy Hogan
 C177: Assessing retention of statistical concepts after completing a postsecondary introductory statistics course : Stephanie Mendoza, Soma Roy
 C178: A Threetiered Training Program for Graduate Teaching Assistants : Lynette Hudiburgh
 C179: Examining Distractors in MultipleChoice Questions for Classroom Assessments: Learning from Psychometrics : Yan Liu, Amery Wu, Minjeong Park, Ernest Kwan
 C182: Effects of statistical words on the way students view data : Hiroki Otani, Hiroto Fukuda, Kaori Tagashira, Hideki Iwasaki
 C186: The Engagement with Big Data Analytics in Business: A Preparation : Nelia Ereno
 C190: Case study on expected value and standard deviation of sample mean : Eun Ha Kim, Cheong Soo Cho
 C192: Could openended questions be replaced by multiplechoice questions in Statistics exams? : EJ Bakker, Hilde Tobi
 C193: Statistics capacity building and alignment of learning outcomes with business sector needs in the GCC Countries : Ibrahim Alfaki, Rafiq Hijazi
 C195: Teaching Time Series to Undergraduate Students : Mike Forster
 C200: A Framework and Survey for Measuring Students’ Motivational Attitudes toward Statistics : Douglas Whitaker, Alana Unfried, Leyla Batakci
 C201: Strategies Employed by Secondary Mathematics Teachers on Inferential Reasoning Tasks : Maryann Huey, Wendy Weber
 C202: Transforming Teaching and Learning Statistics: A Multidimensional Approach : Monica Dabos
 C203: The Impact on Teacher Attitudes and Statistical Pedagogical Knowledge of a Regional Hub and Mentorship Program for TwoYear Colleges in the U.S. : Michael Posner, Monica Dabos
 C207: Teaching design of crosscurricular statistical education at high school in JAPAN : Fumihiko Mitsunaga
 C211: Secondary teachers’ understanding of statistical modeling after teaching a simulationbased statistical inference course : Michael Huberty, Nicola Justice, Andrew Zieffler, Robert delMas
 C213: Overcoming challenges with service courses in Statistics : Matina Rassias
 C220: Using the SETS level A items to classify preservice teachers' selfefficacy to teach statistics: an application of the Mixture Rasch Model : Leigh HarrellWilliams, Jennifer Lovett, M. Alejandra Sorto, Rebecca Pierce, Lawrence Lesser, Teri Murphy
 C223: Postsecondary teachers’ understanding of pvalue : Jason Mark Dolor, Dana Kirin
 C227: Students’ behavioral intentions regarding the future use of statistical methods : Polona Tominc, Maruša Krajnc, Klavdija Vivod, Blaž Frešer
 C229: Improving Teaching and Capacity in Statistics Education: The case of Ghana : Bashiru I.I Saeed, Azumah Karim
 C234: Teaching Biostatistics course with flipped classroom : Mingan Yang
 C235: Blended Learning in Higher Education: A Case Study in Postgraduate Applied Statistics Programs : Jahar Bhowmik, Brian Phillips, Denny Meyer
 C240: DiversityRelated Projects in an Introductory Statistics Course : Kirsten Doehler, Laura Taylor
 C244: Comparing the efficiency of mathematical V. intuitive explanations in conditional probability : Sigal Levy, Yelena Stukalin
 C245: Similarities and Differences of Learning Approaches of Student in Statistics and Mathematics: A Case Study from Turkey : Eti Mizrahi, Ayse Aysin Bilgin, Irma Hacinliyan, Gizem Intepe, Sitki Gozlu
 C246: Projectbased curriculum as a guide for the resequencing of a discipline specific statistics course : Veronica Fruiht
 C247: Specialist and NonSpecialist Students' Attitudes Towards Statistics : Zainal Abidin Koemadji, Professor Janet M. Ainley
 C251: Significance of intuitive explanation of CI for nonstatistician students : Yelena Stukalin, Sigal Levy
 C253: You R, so you are ! : Koo Rijpkema
 C258: Introductory Statistics with Deferred Uni Variate for Long Term Academic Degree Program : Lita Pertiwi, Febry Utami, Noor Laila, Aulia Dini, Nuha Gunawan
 C259: The Effects of Virtual Manipulatives on Statistics Achievement of Undergraduate Students : Xin Ma, Anushka Karkelanova, William Rayens
 C261: Developing and assessing written communication skills in large introductory statistics classes : Elizabeth Johnson, David Holmes
 C264: Developing the skills demanded of a statistician beyond statistics: a case study in biostatistics : Stephanie Hubbard, Smith Ellesha
 C268: Repeated Sampling as a step toward Informal Statistical Inference : Marianne van DijkeDroogers, Paul Drijvers, Arthur Bakker
 C270: Taming Statistics for Students with APL : Stephen Mansour
 C278: Cultivating Interdisciplinary Undergraduate Research in Applied Statistics : David Holmes, Elizabeth Johnson
 C279: Preparing students for a career in Statistics : Jay Mandrekar
 C282: Practical use of correlation coefficients in the Social Sciences : Oscar Hernandez, Russell AlpizarJara
 C283: Teaching probability and statistics to preservice elementary school teachers : Yoshiji Takagi
 C290: Challenges for Independent Student Projects: A Perspective of the Teacher : Layla Guyot, Amanda Walker, Alexander White
 C295: Utilizing a Flipped Classroom for an Introductory Biostatistics Course : Jacqueline Milton
 C298: Teaching LearnerCentered Statistics: A Case for Blended Delivery using Google Apps : Leon Cygman
 C302: Can a threeday intensive statistics boot camp increase graduate students' core knowledge and selfefficacy? : Brian Leventhal, S. Jeanne Horst, Derek Sauder, Karen Ford
 C304: Factors Affecting Performance In Statistics Of Benguet State Unversity College Students : Precious Valentin, Marycel Sajise
 C305: Simultaneous Modeling Of Rainfall Quantity And Incidence In Pangasinan Using PoissonGamma Distribution : Jennifer Miguel, Marycel Sajise
 C307: Event History Analysis of Attrition and Degree Completion in Graduate Studies : Bobby Roaring, Marycel Sajise
Posters
 P1: The Impact of Homework Feedback on Statistical Literacy in Austrian Computer Science Students : Thomas Forstner
 P2: Use of Interactive Apps in Teaching Bayesian Statistics : Haydar Demirhan, James Baglin
 P3: Learning Statistics From Data : Yuanchin Chang
 P4: Using concept questions to teach statistical terms : John Blake
 P5: Practice of Proactive Utilization of Mathematical Representation in Learning of Statistics : Kunihiko Shimizu
 P6: Attitudes toward Statistics as Moderator Variables in the Evaluation of Activating Methods in Lectures on Statistics : Florian Berens, Sebastian Hobert
 P7: Context of statistical graphs in primary school textbooks in Costa Rica : Maynor Jiménez Castro, Pedro Arteaga, Carmen Batanero
 P8: Teaching of Appropriate Interpretation of Pvalue and its indication : Edith Umeh, abidemi Awopeju
 P9: Learning of statistics in a Mexican telescondary school: impact of statistical enquiry in students outcomes : Alberto Santana Ortega, Ana GómezBlancarte, Dora Pérez Hernández
 P10: A robust method to identify the statistical learning abilities of students : Hung Hung
 P11: The introduction of chemometrics course as a step forward to modernization of study curriculum at engineering faculties : Strahinja Kovacevic, Sanja PodunavacKuzmanovic, Milica Karadzic, Lidija Jevric, Jasna CanadanovicBrunet, Gordana Cetkovic
 P12: Molecular modeling and statistical software in modern organic chemistry teaching – Step forward to modernization of undergraduate studies at engineering faculties : Strahinja Kovacevic, Sanja PodunavacKuzmanovic, Milica Karadzic, Lidija Jevric, Gordana Cetkovic, Jasna CanadanovicBrunet
 P13: Modified Information Matrix Tests for Detecting Misspecification in the Random Effects of GLMMs : KuoChin Lin
 P14: Teaching Graduate Students Sample Size Planning by Using R : Weiming Luh, JiinHuarng Guo
 P15: Every learner is unique so why couldn’t their assignments be unique? The use of simulated datasets in inferential statistics courses. : Brian Leventhal, S. Jeanne Horst
 P16: Another Look at the Box Model : Dennis Sun, Joseph Alfredo
 P17: Developing secondary preservice mathematics teachers’ statistical knowledge for teaching : Stephanie Casey, Andrew Ross, Samantha Maddox
 P18: Engagement of Statistical Research in Undergraduate Level Courses : Shan Wang
 P19: Integration of Extensive Technology in a Canadian Service Statistics Course : Wesley Burr, Melissa Van Bussel, Skye Griffith
 P20: Launching a statistical enquiry: Posing statistically worthwhile questions : Aisling Leavy, Daniel Frischemeier
 P22: Technology in bidimensional statistics in High School textbooks : María M. Gea, María del Mar LópezMartín, Juan J. Ortiz, Rafael Roa
 P23: Teaching of Application Matrix Operations using Statistical Software : Edith Umeh, Abidemi Awopeju
 P24: Student attitudes towards statistics at a South African university : Nombuso Zondo, Delia North, Temesgen Zewotir
 P25: A study of practical statistics education using questionnaire survey : Mie Fujiki
 P26: Discussion in a student’s statistics report including controversy on social justice : Takashi Nakanishi
 P27: University Math and Stats Support Centre and how to reduce a rate of unsuccessful studies : Maria Králová
 P28: Sharing statistical analysis techniques using dental practice data : Rosie Pritchett, Shirley Coleman
 P29: A novel way to teach biostatistics to public health students : Qi Zheng
 P30: datascientist education by eLearning system : Kenichi Hirano
 P31: Information Request of the Society as a Condition for the Development of Statistical Literacy : Elena Zarova, Polina Kryuchkova, Pavel Smelov, Sergei Musikhin, Ilya Zalmanov
 P32: Data analysis of the most frequent mistakes made by students in Simple Linear Regression problem solving : Teresita Teran, Jesica Ciminari
 P33: Modelling and statistics in food product design  modernization of food engineering courses : Gordana Cetkovic, Jasna CanadanovicBrunet, Strahinja Kovacevic, Sanja PodunavacKuzmanovic, Milica Karadzic, Lidija Jevric
 P34: Implementing Inverted Instruction in Undergraduate Introductory Statistics Courses : Anushka Karkelanova, William Rayens, Xin Ma
 P35: CSOMAS: Measuring Classroom Characteristics : Marjorie E. Bond
 P36: Young learners’ reasoning with informal statistical models and modelling : Michal Dvir, Dani BenZvi, Yotam Hod
 P37: Basic statistics starts with bivariate for academic degree program : Lita Pertiwi, Noor Laila, Aulia Dini
 P38: Proposed Data Science Library for Computer Science Education in High Schools : Fumiya Kobayashi, Shizuka Shirai, Susumu Kanemune
 P39: A webbased learning system for junior high school students and high school students : Takatsugu Yoshioka, Yuichi Mori
 P40: Latent trait models highlight deficits in student understanding. : Robert Quinn, Petra Graham, Anne Karpin, Ayse Aysin Bilgin
 P41: A case study on the development of statistical thinking using multivariate data：Based on Olympic Decathlon : Koki Hosoda
 P42: Rethinking Exams in Large Lectures : Melissa Pittard
 P43: MasteryBased Grading in Introductory Statistics : Katherine M. Kinnaird
 P44: StatHand: A Mobile Application to Support Students' Statistical Decision Making : Peter Allen, Frank Baughman, Lynne Roberts, Natalie Loxton, Adam Rock, Dirk Van Rooy, James Finlay
 P45: Students competences in dealing with the classical and frequentist approach to probability : Tobias Rolfes, Boris Girnat, Christian Fahse, Anne M. Hupfer, Alexander Robitzsch
 P46: The Effectiveness of Using ICT Technology in Statistics Education : Makoto Handa
 P47: The construction of the central ideas of the sampling through tecnology in university students : Amable Moreno
 P48: 100% satisfactioned medical statistics seminar that healthcare workers really need at present : Keiko Aoishi, Toshiharu Eto, Noriko Matsumoto, Yoshio Hidaka, Hiroyuki Nakao
 P49: Do standardized tests contribute to statistical education? : Adriana D´Amelio
 P50: An Examination of Computer Versus Tactile Simulations for Teaching Sampling Distributions in Introductory Statistics : Wendy Rummerfield, Stacey Hancock
 P51: What Would Fisher Do? A Useful Tool for Teaching the Model Construction Process : Julie Garai, Marina Ptukhina, Walt Stroup
 P52: Assessing High School Students' Statistical Literacy about the Measures of Central Tendency : Yanqing Ding
 P53: Statistical Practices: What do Statisticians do? : Layla Guyot
 P54: STATS4STEM.ORG  A Statistical Learning Platform : Eric Simoneau
 P55: Dealing with Symbols with Multiple Meanings in Inferential Statistics : Von Bing Yap
 P56: Growing Bigger and More Accurate with GSBPM (part three) : Arbi Setiawan, Ni Lessari
 P57: Student perceptions of online learning: lessons from an undergraduate statistics course in health : Darren Wraith
 P58: Using Real Data on Beliefs about Maths to improve Primary Teachers Students' Capacities in Statistic Education : José Carlos Carrión Pérez
 P59: Effects and characteristics of representative values for the 6th grade in elementary school : Naoki Ohta
 P60: Teaching statistical modeling for statisticians : Oleksandr Osaulenko, Larysa Perkhun, Nina Tovmachenko
 P61: Data Science Education using Statistical Graphic Concour : Chitose Nishiyama, Yuichi Mori
 P62: Views of Benguet State University Employees on the Role of Statistics in the Workplace : Marycel Sajise
 P63: Planning Designing Multilevel Mediation and Moderation Studies: An Interactive Package to Learn Core Considerations and Optimal Design Approaches : Ben Kelcey
 P65: Comparison of Assessment Methods in an Undergraduate Biostatistics Course : Jennifer Daddysman, Tofial Azam
 P67: Comparison of Campus and Online Sections of a Flipped Introductory Statistics Course : Craig Johnson, Ryan Cromar
 P68: Statistical Literacy through Guided Block Play: An Exploratory Multiple Case Study : Robert Giebitz
 P69: Validity Evidence Claims and Plan for the SOMAS Instruments : Douglas Whitaker
 P70: Using Google Docs and Sheets to Design and Collect Data for Classroom Experiments : Wendine Bolon
 P71: Adapting statistics education to a cognitively heterogeneous student population : Solve Sæbø, Hilde Vinje, Trygve Almøy, Helge Brovold
