We found 33 results that contain "data"

Data communications refers to the transmission of this digital data between two or more computers and a computer network or data network is a telecommunications network that allows computers to exchange data. The physical connection between networked computing devices is established using either cable media or wireless media. The best-known computer network is the Internet.

Data communications refers to the transmission of this digital data between two or more computers and a computer network or data network is a telecommunications network that allows computers to exchange data. The physical connection between networked computing devices is established using either cable media or wireless media. The best-known computer network is the Internet.

School interventions should include a team approach across multiple settings, consisting of both
preventive and intervention strategies.

Interventions must be based upon assessment data that includes information about the student’s strengths and needs as well as the environmental conditions in which her characteristics of ADHD occur.

Progress monitoring and strategy adjustments are critical to the success of any intervention plan (Wolraich & DuPaul, 2010)

School interventions
should include a team approach across multiple settings, consisting of both preventive and intervention strategies.
Interventions must be based upon assessment data that includes information about the student’s strengths and needs as well as the environmental conditions in which her characteristics of ADHD occur.
Progress monitoring and strategy adjustments are critical to the success of any intervention plan (Wolraich & DuPaul, 2010).
Number of Directions: Give a minimal number of directions or steps at a time.
If necessary, have students repeat the directions to the teacher or a peer partner.
Form of Directions: Provide written directions or steps, or a visual model of a
completed project. Teach students how to refer to these items as reminders of
process steps to complete tasks. This strategy is particularly helpful for long-term
projects.
Written Assignments
Many students with ADHD have particular challenges with written work due to finemotor
skills difficulties, motor planning issues, and difficulty alternating their attention
from a book to their written responses.
Students with ADHD may also need assistance breaking a larger task or project into smaller, more workable units.

School interventions
should include a team approach across multiple settings, consisting of both preventive and intervention strategies.
Interventions must be based upon assessment data that includes information about the student’s strengths and needs as well as the environmental conditions in which her characteristics of ADHD occur.
Progress monitoring and strategy adjustments are critical to the success of any intervention plan (Wolraich & DuPaul, 2010).
Number of Directions: Give a minimal number of directions or steps at a time.
If necessary, have students repeat the directions to the teacher or a peer partner.
Form of Directions: Provide written directions or steps, or a visual model of a
completed project. Teach students how to refer to these items as reminders of
process steps to complete tasks. This strategy is particularly helpful for long-term
projects.
Written Assignments
Many students with ADHD have particular challenges with written work due to finemotor
skills difficulties, motor planning issues, and difficulty alternating their attention
from a book to their written responses.
Students with ADHD may also need assistance breaking a larger task or project into smaller, more workable units.

Kicking off Class with a Plan!
A lesson plan can serve as an educator's road map... including what students need to learn and how that learning will be facilitated within the time span of the experience. Lesson plans can help you feel more confident while maximizing positive student outcomes. Class prep doesn't have to be a chore this semester! In addition to providing an easy-to-use framework for lesson design, this interactive workshop will introduce participants to an online tool for planning effective, inclusive class sessions... PLUS the new Brainstorming Tool for the first time! This tool uses expertly-prompted AI to generate effective lecture plans, discussion questions, case studies, and more. This is the perfect way to get hands-on practice with Teaching Tools' entire suite of applications that will revolutionize your class prep workflow. Participants will have the chance to explore the tool, ask questions, and leave the session with a new tool in their educator toolbox.


Setting the Stage...
When class prep is difficult and time consuming it…

Doesn’t happen at all
Doesn’t happen very often
Isn’t very effective
This results in…

Winging it
10-year old lesson plan (often inaccessible)
Decreased motivation
Teaching Tools (according to the site)
"We build technologies that promote effective, inclusive college teaching. By translating evidence-informed pedagogical research into easy-to-use online tools, we make good teaching practices more accessible to college instructors of all disciplines and experience levels. Our tools are designed to complement the services offered by Centers for Teaching and Learning, Instructional Technology units, and your LMS. We add value by providing innovative solutions tailored to the higher ed teaching and learning context. Launched in February 2022, Teaching Tools is a registered limited liability company in Maryland."

Anyone can access the three tools at https://teaching.tools by signing up for free [even with a google account].

1. ACTIVE LEARNING LIBRARY – discover new learning activities that fit your teaching context
https://teaching.tools/activities

Main column displays series of learning activities – huge variety from “traditional” (lectures) to more engaging (case study)
Click each activity for more details” engagement level, formative feedback, time, modality
Best practices for facilitations
Filters on the left allow educators to filter by facilitation difficulty level, prep time required, class size, active learning, formative feedback level, bloom’s taxonomy, inclusive learning (UDL principles), whole-person learning, activity time, class modality
2. LESSON PLANNING TOOL – build a cohesive lesson plan for based on series of activities

Allows educators to build out timetable for learning experience
Saves in database and can be duplicated and edited over time.
3. BRAINSTOMING TOOL – generate new content ideas for lectures, discussions, cases, etc.
https://teaching.tools/brainstorm

Human language is filled with ambiguities that make it incredibly difficult to write software that accurately determines the intended meaning of text or voice data. Homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure—these just a few of the irregularities of human language that take humans years to learn, https://byjus.com/biology/flower/ but that programmers must teach natural language-driven applications to recognize and understand accurately from the start, if those applications are going to be useful.
https://byjus.com/biology/flower/ https://byjus.com/biology/flower/

Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:

Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.

Generative AI starts with a prompt that could be in the form of a text, an image, a video, a design, musical notes, or any input that the AI system can process. Various AI algorithms then return new content in response to the prompt. Content can include essays, solutions to problems, or realistic fakes created from pictures or audio of a person.

Early versions of generative AI required submitting data via an API or an otherwise complicated process. Developers had to familiarize themselves with special tools and write applications using languages such as Python.

Now, pioneers in generative AI are developing better user experiences that let you describe a request in plain language. After an initial response, you can also customize the results with feedback about the style, tone and other elements you want the generated content to reflect.