12 datasets found
  1. o

    Bridging the gap: students' responses to online materials to equip graduate...

    • ordo.open.ac.uk
    • search.datacite.org
    docx
    Updated May 30, 2023
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    Stephanie Pywell (2023). Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills [Dataset]. http://doi.org/10.21954/ou.rd.5368810.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    The Open University
    Authors
    Stephanie Pywell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This file set is the basis of a project in which Stephanie Pywell from The Open University Law School created and evaluated some online teaching materials – Fundamentals of Law (FoLs) – to fill a gap in the knowledge of graduate entrants to the Bachelor of Laws (LLB) programme. These students are granted exemption from the Level 1 law modules, from which they would normally acquire the basic knowledge of legal principles and methods that is essential to success in higher-level study. The materials consisted of 12 sessions of learning, each covering one key topic from a Level 1 law module.The dataset includes a Word document that consists of the text of a five-question, multiple-choice Moodle poll, together with the coding for each response option.The rest of the dataset consists of spreadsheets and outputs from SPSS and Excel showing the analyses that were conducted on the cleaned and anonymised data to ascertain students' use of, and views on, the teaching materials, and to explore any statistical association between students' studying of the materials and their academic success on Level 2 law modules, W202 and W203.Students were asked to complete the Moodle poll at the end of every session of study, of which there were 1,013. Only one answer from each of the 240 respondents was retained for Questions 3, 4 and 5, to avoid skewing the data. Some data are presented as percentages of the number of sessions studied; some are presented as percentages of the number of respondents, and some are presented as percentage of the number of respondents who meet specific criteria.Student identifiers, which have been removed to ensure anonymity, are as follows: Open University Computer User code (OUCU) and Personal Identifier (PI). These were used to collate the output from the Moodle poll with students' Level 2 module results.

  2. o

    US Colleges and Universities

    • public.opendatasoft.com
    • data.smartidf.services
    • +2more
    csv, excel, geojson +1
    Updated Aug 6, 2025
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    (2025). US Colleges and Universities [Dataset]. https://public.opendatasoft.com/explore/dataset/us-colleges-and-universities/
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    json, excel, geojson, csvAvailable download formats
    Dataset updated
    Aug 6, 2025
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

  3. C

    Pittsburgh American Community Survey 2015, School Enrollment

    • data.wprdc.org
    • catalog.data.gov
    • +2more
    csv, txt
    Updated Jun 7, 2024
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    City of Pittsburgh (2024). Pittsburgh American Community Survey 2015, School Enrollment [Dataset]. https://data.wprdc.org/dataset/pittsburgh-american-community-survey-2015-school-enrollment
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    csv, txtAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    City of Pittsburgh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Pittsburgh
    Description

    School enrollment data are used to assess the socioeconomic condition of school-age children. Government agencies also require these data for funding allocations and program planning and implementation.

    Data on school enrollment and grade or level attending were derived from answers to Question 10 in the 2015 American Community Survey (ACS). People were classified as enrolled in school if they were attending a public or private school or college at any time during the 3 months prior to the time of interview. The question included instructions to “include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma, or a college degree.” Respondents who did not answer the enrollment question were assigned the enrollment status and type of school of a person with the same age, sex, race, and Hispanic or Latino origin whose residence was in the same or nearby area.

    School enrollment is only recorded if the schooling advances a person toward an elementary school certificate, a high school diploma, or a college, university, or professional school (such as law or medicine) degree. Tutoring or correspondence schools are included if credit can be obtained from a public or private school or college. People enrolled in “vocational, technical, or business school” such as post secondary vocational, trade, hospital school, and on job training were not reported as enrolled in school. Field interviewers were instructed to classify individuals who were home schooled as enrolled in private school. The guide sent out with the mail questionnaire includes instructions for how to classify home schoolers.

    Enrolled in Public and Private School – Includes people who attended school in the reference period and indicated they were enrolled by marking one of the questionnaire categories for “public school, public college,” or “private school, private college, home school.” The instruction guide defines a public school as “any school or college controlled and supported primarily by a local, county, state, or federal government.” Private schools are defined as schools supported and controlled primarily by religious organizations or other private groups. Home schools are defined as “parental-guided education outside of public or private school for grades 1-12.” Respondents who marked both the “public” and “private” boxes are edited to the first entry, “public.”

    Grade in Which Enrolled – From 1999-2007, in the ACS, people reported to be enrolled in “public school, public college” or “private school, private college” were classified by grade or level according to responses to Question 10b, “What grade or level was this person attending?” Seven levels were identified: “nursery school, preschool;” “kindergarten;” elementary “grade 1 to grade 4” or “grade 5 to grade 8;” high school “grade 9 to grade 12;” “college undergraduate years (freshman to senior);” and “graduate or professional school (for example: medical, dental, or law school).”

    In 2008, the school enrollment questions had several changes. “Home school” was explicitly included in the “private school, private college” category. For question 10b the categories changed to the following “Nursery school, preschool,” “Kindergarten,” “Grade 1 through grade 12,” “College undergraduate years (freshman to senior),” “Graduate or professional school beyond a bachelor’s degree (for example: MA or PhD program, or medical or law school).” The survey question allowed a write-in for the grades enrolled from 1-12.

    Question/Concept History – Since 1999, the ACS enrollment status question (Question 10a) refers to “regular school or college,” while the 1996-1998 ACS did not restrict reporting to “regular” school, and contained an additional category for the “vocational, technical or business school.” The 1996-1998 ACS used the educational attainment question to estimate level of enrollment for those reported to be enrolled in school, and had a single year write-in for the attainment of grades 1 through 11. Grade levels estimated using the attainment question were not consistent with other estimates, so a new question specifically asking grade or level of enrollment was added starting with the 1999 ACS questionnaire.

    Limitation of the Data – Beginning in 2006, the population universe in the ACS includes people living in group quarters. Data users may see slight differences in levels of school enrollment in any given geographic area due to the inclusion of this population. The extent of this difference, if any, depends on the type of group quarters present and whether the group quarters population makes up a large proportion of the total population. For example, in areas that are home to several colleges and universities, the percent of individuals 18 to 24 who were enrolled in college or graduate school would increase, as people living in college dormitories are now included in the universe.

  4. d

    EDFacts Graduates and Dropouts, 2010-11.

    • datadiscoverystudio.org
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    Updated Mar 26, 2018
    + more versions
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    (2018). EDFacts Graduates and Dropouts, 2010-11. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/6984d8e18ded4eb0b8628cb275f023d6/html
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    Dataset updated
    Mar 26, 2018
    Description

    description: EDFacts Graduates and Dropouts, 2010-11 (EDFacts GD:2010-11), is one of 17 'topics' identified in the EDFacts documentation (in this database, each 'topic' is entered as a separate study); program data is available since 2005 at

  5. EDFacts Graduates and Dropouts, 2014-15

    • catalog.data.gov
    Updated Aug 12, 2023
    + more versions
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    U.S. Department of Education (2023). EDFacts Graduates and Dropouts, 2014-15 [Dataset]. https://catalog.data.gov/dataset/edfacts-graduates-and-dropouts-2014-15-8fd76
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    United States Department of Educationhttp://ed.gov/
    Description

    EDFacts Graduates and Dropouts, 2014-15 (EDFacts GD:2014-15) is one of 17 “topics" identified in the EDFacts documentation (in this database, each “topic" is entered as a separate study). EDFacts GD:2014-15 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2014-15 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2014-15 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

  6. g

    EDFacts Graduates and Dropouts, 2015-16 | gimi9.com

    • gimi9.com
    + more versions
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    EDFacts Graduates and Dropouts, 2015-16 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_edfacts-graduates-and-dropouts-2015-16-c3237/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    EDFacts Graduates and Dropouts, 2015-16 (EDFacts GD:2015-16) is one of 17 “topics" identified in the EDFacts documentation (in this database, each “topic" is entered as a separate study). EDFacts GD:2015-16 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2015-16 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2015-16 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

  7. A

    EDFacts Graduates and Dropouts, 2016-17

    • data.amerigeoss.org
    • catalog.data.gov
    data explorer
    Updated Sep 25, 2019
    + more versions
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    AmeriGEOSS Dev (2019). EDFacts Graduates and Dropouts, 2016-17 [Dataset]. https://data.amerigeoss.org/dataset/edfacts-graduates-and-dropouts-2016-17
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    data explorerAvailable download formats
    Dataset updated
    Sep 25, 2019
    Dataset provided by
    AmeriGEOSS Dev
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    EDFacts Graduates and Dropouts, 2016–17 (EDFacts GD:2016–17) is one of 17 “topics” identified in the EDFacts documentation (in this database, each “topic” is entered as a separate study). EDFacts GD:2016–17 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2016–17 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2016–17 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

  8. EDFacts Graduates and Dropouts, 2017-18

    • catalog.data.gov
    Updated Aug 12, 2023
    + more versions
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    U.S. Department of Education (2023). EDFacts Graduates and Dropouts, 2017-18 [Dataset]. https://catalog.data.gov/dataset/edfacts-graduates-and-dropouts-2017-18-e9b7c
    Explore at:
    Dataset updated
    Aug 12, 2023
    Dataset provided by
    United States Department of Educationhttp://ed.gov/
    Description

    EDFacts Graduates and Dropouts, 2017-18 (EDFacts GD:2017-18) is one of 17 “topics" identified in the EDFacts documentation (in this database, each “topic" is entered as a separate study). EDFacts GD:2017-18 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2017-18 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2017-18 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as variables, as a result of the structure and format of EDFacts' data.

  9. P

    Pakistan No of Students: Professional Colleges: Law

    • ceicdata.com
    Updated Mar 23, 2020
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    CEICdata.com (2020). Pakistan No of Students: Professional Colleges: Law [Dataset]. https://www.ceicdata.com/en/pakistan/education-statistics-number-of-students/no-of-students-professional-colleges-law
    Explore at:
    Dataset updated
    Mar 23, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2005 - Jun 1, 2016
    Area covered
    Pakistan
    Variables measured
    Education Statistics
    Description

    Pakistan Number of Students: Professional Colleges: Law data was reported at 58.000 Person in 2016. This records a decrease from the previous number of 59.000 Person for 2015. Pakistan Number of Students: Professional Colleges: Law data is updated yearly, averaging 55.000 Person from Jun 1997 (Median) to 2016, with 20 observations. The data reached an all-time high of 62.000 Person in 2011 and a record low of 41.000 Person in 1997. Pakistan Number of Students: Professional Colleges: Law data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.G010: Education Statistics: Number of Students.

  10. EDFacts Graduates and Dropouts, 2013-14

    • catalog.data.gov
    Updated Aug 12, 2023
    + more versions
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    U.S. Department of Education (2023). EDFacts Graduates and Dropouts, 2013-14 [Dataset]. https://catalog.data.gov/dataset/edfacts-graduates-and-dropouts-2013-14-a0614
    Explore at:
    Dataset updated
    Aug 12, 2023
    Dataset provided by
    United States Department of Educationhttp://ed.gov/
    Description

    EDFacts Graduates and Dropouts, 2013-14 (EDFacts GD:2013-14) is one of 17 “topics" identified in the EDFacts documentation (in this database, each “topic" is entered as a separate study). EDFacts GD:2013-14 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2013-14 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2013-14 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

  11. Student responses to questions about assessment practices across three...

    • researchdata.edu.au
    • dro.deakin.edu.au
    Updated Jun 5, 2024
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    Professor Kim Watty; Kim Watty (2024). Student responses to questions about assessment practices across three different countries [Dataset]. http://doi.org/10.26187/DEAKIN.25808344.V1
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    Deakin Universityhttp://www.deakin.edu.au/
    Authors
    Professor Kim Watty; Kim Watty
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset relates to the assessment practices used in the RMIT School of Accounting and Law in programs taught in Melbourne, Singapore and Hong Kong between 2005 and 2006. These assessment parctices were examined to determine, first, how they measured students’ attainment of the profession’s generic skills, and second, whether different approaches to assessment were taken across the three locations. The students enrolled in these programs were investigated - their cultural backgrounds, their prior learning experiences, their assessment practices and their performance in assessment. At the same time, consultations were held with teaching staff and with employers across the three locations to determine their views about assessment and student and graduate quality. Finally, as a result of the feedback from the previous stages, a number of different approaches to assessment were trialled and evaluated.

  12. Canadian undergraduate tuition fees by field of study, 1972/1973 to...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jun 25, 2020
    + more versions
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    Government of Canada, Statistics Canada (2020). Canadian undergraduate tuition fees by field of study, 1972/1973 to 2006/2007, inactive [Dataset]. http://doi.org/10.25318/3710015001-eng
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    Dataset updated
    Jun 25, 2020
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Tuition fees are weighted averages by field of study for full-time Canadian undergraduate students. Data is collected from all publicly funded Canadian degree-granting institutions.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Stephanie Pywell (2023). Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills [Dataset]. http://doi.org/10.21954/ou.rd.5368810.v1

Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills

Explore at:
docxAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
The Open University
Authors
Stephanie Pywell
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This file set is the basis of a project in which Stephanie Pywell from The Open University Law School created and evaluated some online teaching materials – Fundamentals of Law (FoLs) – to fill a gap in the knowledge of graduate entrants to the Bachelor of Laws (LLB) programme. These students are granted exemption from the Level 1 law modules, from which they would normally acquire the basic knowledge of legal principles and methods that is essential to success in higher-level study. The materials consisted of 12 sessions of learning, each covering one key topic from a Level 1 law module.The dataset includes a Word document that consists of the text of a five-question, multiple-choice Moodle poll, together with the coding for each response option.The rest of the dataset consists of spreadsheets and outputs from SPSS and Excel showing the analyses that were conducted on the cleaned and anonymised data to ascertain students' use of, and views on, the teaching materials, and to explore any statistical association between students' studying of the materials and their academic success on Level 2 law modules, W202 and W203.Students were asked to complete the Moodle poll at the end of every session of study, of which there were 1,013. Only one answer from each of the 240 respondents was retained for Questions 3, 4 and 5, to avoid skewing the data. Some data are presented as percentages of the number of sessions studied; some are presented as percentages of the number of respondents, and some are presented as percentage of the number of respondents who meet specific criteria.Student identifiers, which have been removed to ensure anonymity, are as follows: Open University Computer User code (OUCU) and Personal Identifier (PI). These were used to collate the output from the Moodle poll with students' Level 2 module results.

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