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Patel, Parth H.; Conrad, Kristofer L.; Pathiranage, Anuradha L.; Hiatt, Leslie A. – Journal of Chemical Education, 2020
Given student familiarity with electronic cigarettes (e-cigs), this lab uses a student-built smoke collection apparatus to collect e-cig vapors to teach students about gas chromatography-mass spectrometry (GC-MS). Students in a second semester, introductory organic chemistry course spent 1 week collecting e-cig vapors and 1 week qualitatively…
Descriptors: Organic Chemistry, Smoking, Electronic Equipment, Science Experiments
Connors, Elizabeth H.; Smith-Millman, Mills; Bohnenkamp, Jill H.; Carter, Taneisha; Lever, Nancy; Hoover, Sharon A. – School Mental Health, 2020
Learning collaboratives (LCs) have often been used to improve somatic health care quality in hospitals and other medical settings, and to some extent to improve social services and behavioral health care. This initiative is the first demonstration of a national, systematic LC to advance comprehensive school mental health system quality among…
Descriptors: School Districts, Access to Health Care, Mental Health, School Health Services
Dalland, Cecilie P.; Klette, Kirsti; Svenkerud, Sigrun – International Journal of Research & Method in Education, 2020
The use of video recordings as a data source in qualitative research presents challenges when it comes to selecting time scales. Here, we discuss the implications of selecting time scales with regard to the interpretations and conclusions of a classroom event. The analysis draws on data from the PISA+ project, a large-scale video study of six…
Descriptors: Video Technology, Qualitative Research, Time, Foreign Countries
Namey, Emily; Guest, Greg; O'Regan, Amy; Godwin, Christine L.; Taylor, Jamilah; Martinez, Andres – Field Methods, 2020
Internet-based platforms are increasingly used to collect qualitative data. We conducted a quasi-experimental study to explore whether data collection mode affects data content and data collection costs. Participants (N = 171) were assigned systematically to one of four modes--(1) in-person (control), (2) online video-based, (3) online chat-based,…
Descriptors: Qualitative Research, Data Collection, Costs, Data
Hardy, Lisa; Dixon, Colin; Hsi, Sherry – Journal of the Learning Sciences, 2020
This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly…
Descriptors: Data Collection, Data Analysis, Science Instruction, Grade 9
Kahn, Jennifer – Journal of the Learning Sciences, 2020
Open large-scale datasets (LSDS) and data visualization technologies are new cultural tools that have potential to inform public dialogue and learning about important socioeconomic and scientific matters, particularly if the data is used to consider both personal and shared experiences. This paper reports on a design study in which diverse middle…
Descriptors: Data, Visualization, Visual Aids, Story Telling
Kesim, Eren – Turkish Online Journal of Distance Education, 2020
This study covers 117 masters and 28 doctorate theses published between 1999-2019 in Turkey for a total of 145 theses on distance learning administration. Due to the goal of analyzing graduate theses published in the field of distance learning administration in Turkey between the years of 1999-2019, qualitative research method was used in this…
Descriptors: Foreign Countries, Distance Education, Educational Administration, Masters Theses
Broughan, Christine; Prinsloo, Paul – Assessment & Evaluation in Higher Education, 2020
Student data, whether in the form of engagement data, assignments or examinations, form the foundation for assessment and evaluation in higher education. As higher education institutions progressively move to blended and online environments, we have access to, not only more data than before, but also a greater variety of demographic and…
Descriptors: Learning Analytics, Student Centered Learning, Student Empowerment, Data Collection
Cruse, Lindsey Reichlin; Holtzman, Tessa – Institute for Women's Policy Research, 2020
Head Start provides access to high-quality, affordable early learning opportunities for children alongside wraparound supports for parents which can help families achieve economic security by helping to facilitate parents' attainment of college credentials. Head Start-college collaboration can also bring important benefits to colleges and…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
O'Donoghue, Rebekah; Ratledge, Alyssa – MDRC, 2020
MDRC has studied a number of proven strategies for helping students stay in college and succeed there, the most effective of which combine advisers or coaches who actively reach out to students, decision-making informed by data, and extra financial support. Lessons from some of these models may be readily adapted to support students and close…
Descriptors: College Students, Distance Education, Teacher Student Relationship, Student School Relationship
Amir Gharehgozli; Akash Gupta; Seung-Kuk Paik – Journal of Education for Business, 2024
Business Analytics has gained the attention of academia and industry due to three main trends namely, availability of data, methodological developments, and explosion in computing power and storage capacity. Many higher education institutes show interest in developing an undergraduate business analytics program. This paper develops a framework…
Descriptors: Undergraduate Study, Business Administration Education, Data Analysis, Program Implementation
Kirsten Doehler; Laura Taylor – PRIMUS, 2024
A project involving data related to socioeconomic indicators was administered in an introductory statistics course. As part of this project, student groups investigated a data set from the United States Department of Agriculture Food and Nutrition Service website with information on recipients of Supplemental Nutrition Assistance Program (SNAP)…
Descriptors: College Students, Statistics Education, Introductory Courses, Mathematics Education
Andrew A. Tawfik; Linda Payne; Andrew M. Olney – Technology, Knowledge and Learning, 2024
Theorists and educators increasingly highlight the importance of computational thinking in STEM education. While various scaffolding strategies describe how to best support this skillset (i.e., paired programming, worked examples), less research has focused on the design and development of these digital tools. One way to support computational…
Descriptors: Thinking Skills, Computation, STEM Education, Scaffolding (Teaching Technique)
Stéphane Favier; Jean-Luc Dorier – Educational Studies in Mathematics, 2024
In this research, our objective is to characterize the problem-solving procedures of primary and lower secondary students when they solve problems in real class conditions. To do so, we rely first on the concept of heuristics. As this term is very polysemic, we exploit the definition proposed by Rott (2014) to develop a coding manual and thus…
Descriptors: Heuristics, Semantics, Student Evaluation, Mathematics Skills
David Rae; Edward Cartwright; Mario Gongora; Chris Hobson; Harsh Shah – Industry and Higher Education, 2024
This paper demonstrates how the innovative application of a Collective Intelligence approach enhanced Local Skills Improvement Planning information for employers, education and skills training organisations and regional economic policy organisations. This took place within a Knowledge Transfer Partnership between a Chamber of Commerce and a…
Descriptors: Cooperative Learning, Intelligence, Knowledge Management, Skill Development

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