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Berg, Stephanie A.; Moon, Alena – Chemistry Education Research and Practice, 2022
To develop competency in science practices, such as data analysis and interpretation, chemistry learners must develop an understanding of what makes an analysis and interpretation "good" (i.e., the criteria for success). One way that individuals extract the criteria for success in a novel situation is through making social comparisons,…
Descriptors: Chemistry, Science Instruction, Self Evaluation (Individuals), Feedback (Response)
Bakhshi, Hossein; Weisi, Hiwa; Yousofi, Nouroddin – Journal of Applied Research in Higher Education, 2022
Purpose: This paper explores the challenges of conducting qualitative research from ELT (English Language Teaching) Ph.D. candidates' perspectives. Design/methodology/approach: The participants of the study consisted of 30 Iranian Ph.D. students majoring in ELT. The semi-structured interview was employed to investigate the heart of experiences,…
Descriptors: Graduate Students, Student Attitudes, Second Language Instruction, English (Second Language)
Weathers, Danny; Aragón, Oriana – Marketing Education Review, 2019
As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…
Descriptors: Marketing, Curriculum Development, Teaching Methods, Data Analysis
Slayter, Erik; Higgins, Lindsey M. – College Teaching, 2018
The development of a student's ability to make data-driven decisions has become a focus in higher education (Schield 1999; Stephenson and Caravello 2007). Data literacy, the ability to understand and use data to effectively inform decisions, is a fundamental component of information competence (Mandinach and Gummer 2013; Stephenson and Caravello,…
Descriptors: Problem Based Learning, Teaching Methods, Computer Software, Decision Making
Eybers, Sunet; Hattingh, Mariè – International Association for Development of the Information Society, 2016
Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…
Descriptors: Foreign Countries, Graduate Students, Data Analysis, Statistics
Gökçek, Tuba; Taskin, Duygu; Yildiz, Cemalettin – Online Submission, 2014
The aim of this study is determining academic self-efficacy beliefs of students pursuing graduate study and revealing their needs and shortcomings from the graduate education. Case study method was used and data were collected by a form developed by the researchers from 92 students receiving masters and Ph.D.'s in different programs. As a result…
Descriptors: Graduate Students, Self Efficacy, Student Needs, Beliefs
Glazer, Nirit – Chemistry Education Research and Practice, 2015
This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect…
Descriptors: Student Attitudes, Scientific Attitudes, Data Collection, Data Analysis
Brownell, Sara E.; Hekmat-Scafe, Daria S.; Singla, Veena; Seawell, Patricia Chandler; Imam, Jamie F. Conklin; Eddy, Sarah L.; Stearns, Tim; Cyert, Martha S. – CBE - Life Sciences Education, 2015
We present an innovative course-based undergraduate research experience curriculum focused on the characterization of single point mutations in p53, a tumor suppressor gene that is mutated in more than 50% of human cancers. This course is required of all introductory biology students, so all biology majors engage in a research project as part of…
Descriptors: Research Projects, Science Instruction, Science Education, College Science
Niculescu-Aron, Ileana Gabriela; Mihaescu, Constanta; Mazurencu Marinescu, Miruna; Asandului, Laura – Journal of Applied Quantitative Methods, 2006
We live in an era where IC&T generates numerous transformations to the classic way of learning. The most known results of these transformations concretise in two means of learning through IC&T: e-learning and computer assisted learning. Just like the classical ones, these models assume the existence of an efficient learning process based…
Descriptors: Student Attitudes, Computer Assisted Instruction, Electronic Learning, Information Technology
McCoach, D. Betsy; Siegle, Del – 2001
This report discusses the outcomes of a study that investigated the relationship between student scores on the five sub-scales of the School Attitude Assessment Survey-Revised (SAAS-R) and the academic achievement of known groups of gifted achievers and gifted underachievers. The study examined whether gifted achievers and gifted underachievers…
Descriptors: Academic Achievement, Academically Gifted, Data Analysis, Data Interpretation
Wisconsin Univ. - Stout, Menomonie. Center for Vocational, Technical and Adult Education. – 1984
This report, part of a 5-year evaluation project (fiscal years 1983-87), represents a summary and synthesis of self evaluation data from 45 secondary schools. Each school conducted an extensive vocational program self evaluation, accumulating data from graduates, employers, advisory committee members, staff and current students. On site…
Descriptors: Advisory Committees, Data Analysis, Data Interpretation, Employer Attitudes

van Reeuwijk, Martin – Mathematics Teacher, 1992
Reports part of the results of the Design, Development, and Assessment in Mathematics Education Project that tested the booklet on descriptive statistics called "Data Visualization" in six experimental algebra classes in Whitnall, Wisconsin. Describes examples of problems presented, use of cooperative learning during instruction, and…
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Educational Change