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How AI Can Address Critical Challenges Facing Higher Education

ED Surge

AI-enhanced learning analytics provide more comprehensive data analysis, enabling professors to understand student behaviors and needs while identifying at-risk students early in their courses. There has been a progression from data processing to networking to workflow automation to data warehousing.

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How Data Drives Strategies for Improved Student Outcomes

ED Surge

With over 10 years of experience in district-level administrative roles focusing on curriculum, instruction and assessment, she has extensive expertise in building and refining database decision-making systems. Previously, as a teacher, the primary focus was on delivering content. That's one way to figure out where to shine our light.

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Hard vs Soft Skills in STEM Education

STEM Sport

Here are some primary hard skills: Data Analysis: The ability to collect, interpret, and draw meaningful conclusions from data. For instance, data analysis skills are crucial in identifying trends and making data-driven decisions, while mathematical reasoning is essential for solving intricate engineering problems.

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7 Reasons Advancement Courses Has Excellent Teacher Professional Development

Cool Cat Teacher

While the content was fully online, my primary learning space was my in-person classroom as I implemented what I learned using feedback from students, parents, and administrators. Data Analysis. Just because students are typing data in spreadsheets and analyzing it with graphs does not mean it is computer science.

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Here Comes Another Trend in K-12 Science Education: Data Science

Chillax Science

If you are or have been a school teacher, you are probably familiar with the feelings associated with constant changes to the curriculum. In this approach, the teacher is usually the primary source of knowledge and expertise, while students are expected to follow the teacher’s lead and adhere to predetermined curriculum standards.

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What is the 21st Century Lesson Plan?

Ask a Tech Teacher

For example, when teaching spreadsheets, make the software or online tools a vehicle for practicing critical thinking, data analysis, and evidence-based learning, not for learning one brand of software or a particular spreadsheet tool. To focus on the over-arching concepts above, make learning platform-neutral.

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Numbers in the Game: Sports Statistics as a Tool for STEM Learning

STEM Sport

Data Analysis: Analyzing sports statistics involves dealing with large datasets containing numbers representing player performances, team statistics, and game outcomes. Students can practice data organization and analysis, using various mathematical techniques like averages, percentages, and correlations.

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