The researcher treated the Science and Technology subcategory as a proxy for a Technology category. To mimic the typical Discovery Education Streaming user experience, the researcher used the subscriber interface to collect data on July 7 Health , July 8 Mathematics and Engineering , and July 9 Science , Due to additions to and withdrawals from the resource collection, database asset counts change daily.
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Therefore, to aid analysis precision and study replication, data for each category were collected on a single day. The researcher reviewed the Discovery Education Streaming database and recorded asset counts by subject, asset type, and grade level. Local content was excluded from asset counts and the range of possible media types is illustrated in table 2 below. For each subcategory, the researcher narrowed the view display to the five copyright date ranges available: or older, —93, —98, —, or or newer.
Within each copyright date range, the researcher narrowed the display four times to display the results from only one grade level band, i. For each data collection point, the researcher marked the results and exported the results as comma separated value CSV files. Case summary reports reflecting descriptive and frequency statistics were generated for each of the four subject category areas.
The case reports were also exported to Excel to create the tables and charts displayed in the Results section of this paper.
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Within the case summary reports, Science and Health results were analyzed by grade level, copyright date, and subcategory. Because the Engineering category was not subcategorized, no results could be obtained from browsing. All Engineering results were obtained via keyword search of the Discover Streaming database.
This section presents frequency analyses of Discovery Education Streaming assets in separate subsections for science, engineering, mathematics, and health. On the date of data collection July 9, , Discovery Education Streaming contained 71, science assets assigned to eight subcategories. First, all assets in the Science category were analyzed.
Table 3 illustrates the distribution of these resources across media type, grade level, and subcategory. As table 3 shows, assets are not distributed equally across subjects and media types. The remaining media types represented about 2 percent of assets. Table 2 illustrates the results. The distribution of assets across grade bands was 25, 34 percent assigned to grades 6—8; 23, 32 percent to grades 9—12; 15, 20 percent to grades 3—5; and 8, 11 percent to grades K—2.
It should be noted that the remaining 3 percent difference possibly reflects rounding and asset assignment to multiple grade bands. Figure 1 further illustrates the distribution of science assets across grade levels and categories. The least number of records were assigned to the Science and Technology subcategory with 5, 7 percent ; Science in Personal and Social Perspectives with 4, 6 percent ; and Inquiry with 3, 4 percent. Total percentages reflect rounding and asset assignment to multiple subcategories. Discovery Education Streaming does not provide browsing subcategories in the Engineering category, so results were obtained via keyword search.
Table 4 illustrates the asset distribution across media type, grade level, and copyright date.
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The remaining forty-four assets 8 percent were for students in grades K—5. Discovery Education Streaming included 13, assets in the Mathematics category on the date of data collection July 8, Table 5 illustrates the distribution of assets in the Mathematics browsing category across grade level, media type, and subcategory. As table 5 shows, assets are not distributed equally across media types. The remaining 3 percent assets represented other media types.
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Media types are listed and defined in table 2. Records for Mathematics assets were then examined by grade level, and subcategory. The distribution of assets across grade bands was 4, 33 percent to grades 9—12; 3, 27 percent assigned to grades 6—8; 2, 19 percent to grades K—2; and 2, 19 percent to grades 3—5.
It should be noted that the remaining 2 percent difference perhaps reflects rounding and asset assignment to multiple grade bands see figure 2. Assets were assigned to eight subcategories. Most asset records were assigned to Numbers and Operations with 4, 29 percent , followed by Problem Solving with 2, 21 percent records Algebra with 1, 13 percent , Geometry with 12 percent , Data Analysis and Probability with 1, 10 percent , and Measurement with 1, 8 percent.
The fewest records were assigned Calculus and Trigonometry accounted for 2 percent. On the date of data collection July 8, , Discovery Education Streaming included 14, assets in the Health category. Table 6 illustrates the distribution of assets in the Health browsing category across grade level, media type, subcategory, and copyright date. Table 6 shows that the number of assets varies across media types, grade levels, and subcategories. The remaining media types represented about 3 percent of assets.
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Records for Health assets were then examined by grade level, and subcategory. Table 6 illustrates the results.
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The distribution of assets across grade bands was 5, 34 percent assigned to grades 9—12; 4, 32 percent to grades 6—8; 2, 18 percent to grades K—2; and 2, 14 percent to grades 3—5. It should be noted that the remaining 2 percent difference possibly reflects rounding and asset assignment to multiple grade bands. Figure 4 further illustrates the distribution of science assets across grade levels and categories.
Figure 3 shows that most asset records were assigned Nutrition with 3, 23 percent ; Growth and Development with 3, 23 percent ; The Body 1, or 10 percent ; Physical Activity with 1, 10 percent ; and Mental Health with 1, 9 percent followed by Safety with 1, 9 percent ; and Alcohol with 1, 8 percent. The fewest records were assigned Violence or 3 percent and Tobacco or 1 percent.
Assets were analyzed in aggregate for an overall impression of media type, grade level, subcategory, and copyright date distribution. Figure 4 reflects media types across all categories and grade levels. The final 1 percent of assets was comprised of the remaining media types listed in table 2. Figure 5 illustrates a comparison of copyright dates for all subject categories, which reflect that the majority 75, or 83 percent of assets are older than seven years. As demonstrated by figure 5 , science is the category with the most assets 71, or 71 percent and most of the science assets 54, or 79 percent are older than seven years.
Health assets are the second largest STEM category with nearly 14 percent 14, and 73 percent 10, of those assets seven years or older. Math assets comprised almost another 14 percent 13, and 73 percent of them were older than seven years.
The remaining 1 percent of assets related to engineering topics and 57 percent had copyright dates older than With a national move toward digital textbooks driving an imperative for greater integration of STEM digital content, the researcher for this study sought to determine the extent to which Discovery Education Streaming could function as a source of high quality, readily available multimedia learning assets. National digital textbooks and STEM learning focuses create a unique opportunity for school librarians to upgrade and expand their collections, demonstrate technology leadership, and show themselves to be effective and relevant instructional partners with STEM teachers.
In pursuit of an answer to the question of whether the Discovery Education Streaming database is a viable source of STEM content, its assets in science and technology, engineering, mathematics, and health were analyzed by media type, grade level, subject category and subcategory, and copyright date to address a research question relating to extent and quality of the collection. Research has demonstrated that teachers benefit from support in identifying high quality instructional materials but that school librarians are often frustrated in their attempts to support STEM learning and promote digital materials into school library collections.
This analysis revealed that Discovery Education Streaming could be a potential source of multimedia content for school library collections because it contains more than , assets in science, technology, engineering, mathematics, and health. Science was the largest category, followed by health; technology and engineering topics represented the smallest number of STEM-related assets. Skip to main content Skip to table of contents. Advertisement Hide. Front Matter Pages i-xii. Front Matter Pages Pages Domains of Teacher Knowledge. The Master of Science with an emphasis in libraries, informatics, and technology in education.
Students seeking additional teacher certification will earn the School Librarian certification and the Instructional Computer Technology Endorsement. The Master of Science degree is a hour program. A hour core of courses and one restricted elective are required. Students who seek advanced teacher certification must hold teaching certification. Students may complete this program without seeking teacher certification if they intend to seek employment in a setting other than public education where teacher certification is required.
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