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Toh, Tin Lam; Leong, Yew Hoong; Dindyal, Jaguthsing; Quek, Khiok Seng – Mathematics Education Research Group of Australasia, 2010
In this symposium, the participants discuss some preliminary data collected from their problem solving project which uses a design experiment approach. Their approach to problem solving in the school curriculum is in tandem with what Schoenfeld (2007) claimed: "Crafting instruction that would make a wide range of problem-solving strategies…
Descriptors: Conferences (Gatherings), Mathematics Education, Problem Solving, Foreign Countries
Gobert, Janice Darlene; Sao Pedro, Michael A.; Baker, Ryan S. – Grantee Submission, 2012
In this paper we explored whether engaging in two inquiry skills associated with data collection, designing controlled experiments and testing stated hypotheses, within microworlds for one physical science domain (density) impacted the acquisition of inquiry skills in another domain (phase change). To do so, we leveraged educational data mining…
Descriptors: Data Collection, Learning Analytics, Inquiry, Science Process Skills
Mathematics Education Research Group of Australasia, 2010
The Mathematics in the Kimberley Project is a three-year research and development project that focuses on mathematical pedagogy in remote Aboriginal community schools. The research team has regularly reported on the project at MERGA (Mathematics Education Research Group of Australasia) conferences, and in this symposium the participants evaluate…
Descriptors: Conferences (Gatherings), Mathematics Curriculum, Research and Development, Mathematics Education
Young, Anne; McConkey, Kevin; Kirby, Mark – Journal of Institutional Research, 2011
Student feedback surveys are an important component of the continuous improvement cycle at the University of Newcastle. This article describes a recently adopted holistic approach to collecting, analysing, reporting and acting on student feedback on courses (units of study), programs (collection of courses leading to an award) and the student…
Descriptors: Student Surveys, Feedback (Response), Holistic Approach, Course Evaluation
Meister, Denise G. – Online Submission, 2011
With the demand for a demonstration of continuous progress as an accountability gauge in public schools, teachers are compelled to examine assessment data for each of their pupils. This data analysis, in turn, should help teachers gauge their instructional practices and differentiate instruction so that all can reach proficient levels of…
Descriptors: Preservice Teacher Education, Teacher Education Programs, Academic Achievement, Behavior Problems
Hourigan, Clare – Journal of Institutional Research, 2011
Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…
Descriptors: Decision Making, Admission Criteria, Program Improvement, Data Analysis
Hollenbeck, James E.; Fisher, Marianne – Online Submission, 2011
Greater Clark Schools in Indiana enrolled with a STEM education program, Shining Star with Indiana University, integrated Nova 5000 data-loggers in their curriculum reported success improving students' standardized exam scores and interest in science and mathematics courses after a three year period. The success of the data-loggers, determined by…
Descriptors: Student Interests, Educational Technology, Student Characteristics, Faculty Development
Sirinides, Philip; Fink, Ryan – Regional Educational Laboratory Mid-Atlantic, 2014
Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…
Descriptors: Early Childhood Education, Educational Strategies, Educational Practices, Effective Schools Research
Scholder, Tara E.; Maguire, Linda Cox – Association for Institutional Research (NJ1), 2009
As students are asked to share more of the costs of a post-secondary education, the quality of their overall educational experience and perceived return on investment (ROI) are increasingly important. For prospective students and their parents, what they are told they can expect from the student experience at an institution often makes the most…
Descriptors: Institutional Research, Higher Education, College Students, Student Experience
Carroll, David – Journal of Institutional Research, 2011
Historically, responses to the Course Experience Questionnaire (CEQ) were required to be collected by self-administered paper or online questionnaire to be eligible for official analysis. CEQ responses collected by telephone were excluded from the final analysis file to minimise the potential for bias due to mode effects: systematic variation in…
Descriptors: Questionnaires, Regression (Statistics), Intermode Differences, Telephone Surveys
Herling, Richard W. – Online Submission, 2008
This study surveyed the perceived differences in the learning potential of different work experiences, and sought to determine if these differences were reflected primarily in the type of experience, the nature of the experience, or the type of outcome associated with the experience. Research has shown that employees acquire the largest portion of…
Descriptors: Work Experience, Outcomes of Education, Employee Attitudes, Surveys
Liu, Qin – Online Submission, 2009
This paper intends to construct a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research. Then it is followed by…
Descriptors: Higher Education, Institutional Research, Quality Control, Researchers
Dekker, Gerben W.; Pechenizkiy, Mykola; Vleeshouwers, Jan M. – International Working Group on Educational Data Mining, 2009
The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data mining case study aimed at predicting the Electrical Engineering (EE) students drop out after the first semester of their studies or even before they enter the study program…
Descriptors: Information Retrieval, Engineering Education, College Freshmen, Case Studies
Ruffner, Karen Blake – Online Submission, 2010
Educational reform is not easy. As school leaders search for a format that leads to improvement on many fronts concurrently, data teams is one such promising practice. The data team design not only involves sensemaking of data as evidence of effective teaching and learning, but also builds a professional learning community, distributes leadership,…
Descriptors: Teacher Effectiveness, Educational Change, Principals, Urban Schools
Lang, William Steve; Wilkerson, Judy R. – Online Submission, 2007
For the purposes of measurement such as aggregation, improvement, diagnosis, assessment, evaluation, reporting, and research; constructs must be measured and not just observed, counted, or collected. Valid and reliable measurement includes a defined construct, a choice of appropriate models, creation of instruments, and meaningful results. In…
Descriptors: Evaluation Criteria, Personality, Models, Teacher Education