Teaching Data Science

We describe an introductory data science course, entitled Introduction to Data Science, offered at the University of Illinois at Urbana-Champaign. The course introduced general programming concepts by using the Python programming language with an emphasis on data preparation, processing, and presentation. The course had no prerequisites, and students were not expected to have any programming experience. This introductory course was designed to cover a wide range of topics, from the nature of data, to storage, to visualization, to probability and statistical analysis, to cloud and high performance computing, without becoming overly focused on any one subject. We conclude this article with a discussion of lessons learned and our plans to develop new data science courses.Comment: 10 pages, 4 figures, International Conference on Computational Science (ICCS 2016

Teaching Stats for Data Science

“Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records. Such datasets call for techniques not often part of an introduction to statistics: modeling, consideration of covariates, sophisticated visualization, and causal reasoning. This article re-imagines introductory statistics as an introduction to data science and proposes a sequence of 10 blocks that together compose a suitable course for extracting information from contemporary data. Recent extensions to the mosaic packages for R together with tools from the “tidyverse” provide a concise and readable notation for wrangling, visualization, model-building, and model interpretation: the fundamental computational tasks of data science

Primary connections in a provincial Queensland school system: relationships to science teaching self-efficacy and practices

The teaching of science is important, both to meet the need for future workers in fields requiring scientific capability and to equip students for full participation in modern societies where many decisions depend upon knowledge of science. However, many teachers in Australian primary schools do not allocate science education sufficient amounts of time to achieve these outcomes. This study reports data obtained from 216 teachers in the primary schools in a provincial Australian school system. The purpose of the study was to assess the effects of existing strategies using Primary Connections for promoting science teaching and to inform future professional development strategies. Teachers reported moderate levels of self-efficacy for teaching science and a proportion reported allocating little or no time to teaching science. Both self-efficacy for science teaching and the amount of science taught were higher for teachers who had used Primary Connections curriculum materials

Examining Mentors' Practices for Enhancing Preservice Teachers' Pedagogical Development in Mathematics and Science

Mentoring is too important to be left to chance (Ganser, 1996), yet mentoring expertise of teachers varies widely, which may present inequities for developing preservice teachers' practices. Five factors for mentoring have been identified herein: personal attributes, system requirements, pedagogical knowledge, modelling, and feedback, and items associated with each factor have also been justified in context of the literature. An original, literature-based survey instrument gathered 446 preservice teachers' perceptions of their mentoring for primary teaching. Data were analysed within the abovementioned 5 factors with 331 final-year preservice teachers from 9 Australian universities responding to their mentoring for science teaching and 115 final-year preservice teachers from an urban university responding to their mentoring for mathematics teaching. Results indicated similar Cronbach alpha scores on each of the five factors for primary science and mathematics teaching; however percentages and mean scores on attributes and practices aligned with each factor were considerably higher for mentoring mathematics teaching compared with science teaching

Professional science knowledge and its impact on confidence in the teaching of earth science : a thesis presented in partial fulfilment of the requirements for the degree of Master of Education at Massey University, Palmerston North, New Zealand

This study focused on the nature and parameters of the relationships between the professional science knowledge of primary and intermediate teachers and their confidence in teaching in the Making Sense of Planet Earth and Beyond strand of Science in the New Zealand Curriculum (earth science). The study was divided into two phases of data collection. The first phase used a questionnaire survey of 18 teachers from the Taranaki, Wanganui, Manawatu, Palmerston North and Horowhenua districts of the western and central North Island of New Zealand. The survey identified the influence of the relationships between the participants' backgrounds in earth science, their professional knowledge frameworks and their efficacy to teach earth science. The second phase of data collection builds on the trends and common themes identified in phase one. Data were collected in the second phase through interviews of four teachers selected from phase one participants. Analyses of the data collected revealed the importance of maintaining a well-developed understanding of the subject matter when teaching earth science. Subject matter knowledge has a notable impact in teachers' efficacy beliefs and ability to translate content into teachable material. Findings support pervious researchers' conclusion that teachers with high self-efficacy have had a long interest in science and a relatively strong background of formal science studies with opportunities for exploring science in informal settings. Results indicate that effective earth science teachers possess a genuine interest and enthusiasm for earth science. Conversely, teachers with relatively little earth science background display less developed knowledge frameworks and weaker efficacy beliefs. Common indicators of these weaknesses include avoidance of earth science topics in general or use of 'shallow' teaching strategies such as transmission approaches or 'resource based' units. In some cases it appears that teachers' confidence in their ability to teach earth science may be misplaced. Results indicate that in some cases, teachers can use their considerable classroom skills to avoid confronting earth science concepts where their knowledge is inadequate. The implications for these findings are considered

Computer-based collaborative concept mapping : motivating Indian secondary students to learn science : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Education at Massey University, Manawatu, New Zealand

This is a study of the design, development, implementation and evaluation of a teaching and learning intervention. The overarching aim of the study was to investigate the effectiveness of the intervention ‘Computer-based Collaborative Concept Mapping’ (CCCM) on Indian secondary students’ conceptual learning and motivation towards science learning. CCCM was designed based on constructivist and cognitive theories of learning and reinforced by recent motivation theories. The study followed a Design-based research (DBR) methodology. CCCM was implemented in two selected Indian secondary grade 9 classrooms. A quasi-experimental Solomon Four-Group research design was adopted to carry out the teaching experiment and mixed methods of data collection were used to generate and collect data from 241 secondary students and the two science teachers. The intervention was designed and piloted to check the feasibility for further implementation. The actual implementation of CCCM followed the pilot testing for 10 weeks. Students studied science concepts in small groups using the computer software Inspiration. Students constructed concept maps on various topics after discussing the concepts in their groups. The achievement test ATS9 was designed and administered as a pre-post-test to examine the conceptual learning and science achievement. Students’ responses were analysed to examine their individual conceptual learning whereas group concept maps were analysed to assess group learning. The motivation questionnaire SMTSL was also administered as a pre-post-test to investigate students’ initial and final motivation to learn science. At the end of the teaching experiment, the science teachers and two groups of students were interviewed. Analyses of the quantitative data suggested a statistically significant enhancement of science achievement, conceptual learning and motivation towards science learning. The qualitative data findings revealed positive attitudes of students and teachers towards the CCCM use. Students and teachers believed that CCCM use could promote conceptual learning and motivate students to learn science. Both students and teachers preferred CCCM over on-going traditional didactic methods of teaching-learning. Some enablers and barriers identified by teachers and students in the Indian science classroom context are also explored and discussed. A framework for enhancing secondary school students’ motivation towards science learning and conceptual learning is proposed based on the findings. The findings of the study also contribute to addressing the prevailing learning crisis in Indian secondary school science classrooms by offering CCCM an active and participatory instructional strategy as envisioned by the Indian National Curriculum Framework 2005

Case study - improving teaching and learning effectiveness of computer science courses

This paper summarizes our experience teaching several courses at Metropolitan College of Boston University Computer Science department over five years. A number of innovative teaching techniques are presented in this paper. We specifically address the role of a project archive, when designing a course. This research paper explores survey results from every running of courses, from 2014 to 2019. During each class, students participated in two distinct surveys: first, dealing with key learning outcomes, and, second, with teaching techniques used. This paper makes several practical recommendations based on the analysis of collected data. The research validates the value of a sound repository of technical term projects and the role such repository plays in effective teaching and learning of computer science courses.Accepted manuscrip

Teaching Data Management to Health Science, Science & Engineering Students

This presentation, Teaching Data Management to Health Science, Science & Engineering Students, was presented at the Association of Academic Health Sciences Libraries (AAHSL) Annual Meeting educational program “What\u27s Happening Really: Digital Research Support, and other Hot Topics”, on Nov. 5, 2011. The Lamar Soutter Library at UMASS Medical School and the Gordon Library at Worcester Polytechnic Institute have collaborated to develop frameworks for a data management curriculum targeted for health science, science and technology research students at both the undergraduate and graduate levels. These curriculum frameworks include lesson plans for a series of teaching modules and research case scenarios that allow flexibility for teaching students at different levels in diverse science disciplines

Experimental Design at the Intersection of Mathematics, Science, and Technology in Grades K-6

Interdisciplinary courses, highlighting as they do the area(s) the disciplines have in common, often give the misperception of a single body of knowledge and/or way of knowing. However, discipline based courses often leave the equally mistaken notion that the disciplines have nothing in common. The task of the methods courses described in this paper is to reach an appropriate balance so that our pre-service elementary (K-6) teachers have a realistic perception of the independence and interdependence of mathematics and science. At the College of William and Mary each cohort of pre-service elementary teachers enrolls in mathematics and science methods courses taught in consecutive hours. Both instructors emphasize the importance of the content pedagogy unique to their disciplines such as strategies for teaching problem solving, computation, algebraic thinking, and proportional reasoning in mathematics and strategies for teaching students how to investigate and understand the concepts of science. The instructors model interdisciplinary instruction by collaboratively teaching common content pedagogy such as the use of technology, data analysis, and interpretation. Students also identify real-life application of the mathematical principles they are learning that can be applied to science. The concept of simultaneously teaching appropriately selected math and science skills are stressed. Given this approach students are not left with the notion that mathematics is the handmaid of science nor the notion that it is the queen of the sciences. Rather, they view mathematics as a co-equal partner