TETA: Positives of AI in Education by xfactorpodcastnetwork

2024-12-05 19:47:25 UTC

Learning that caters to individualized students.

2024-12-05 19:47:55 UTC

Students are engaged in hands-on learning and involved in the lesson itself

Personalized

2024-12-05 19:48:10 UTC

The students have the ability to interact with with the technology in order to stretch their learning base on their current understanding.

jm46 — 2024-12-05 19:49:47 UTC

Students or adults have individualized learning plans according to their strengths and challenges.

2024-12-05 19:50:09 UTC

using data, metrics, measurements to drive decision making

jm46 — 2024-12-05 19:51:25 UTC

Lesson can include hands on activities or online interactive lessons.

Personalized Learning

johnanderson5 — 2024-12-05 19:51:45 UTC

Personalized learning is an educational approach that tailors instruction to the individual needs, preferences, and learning styles of each student. It focuses on providing customized learning experiences that allow students to progress at their own pace, based on their strengths, weaknesses, interests, and learning goals. The aim of personalized learning is to create a more student-centered experience where learning becomes more effective, engaging, and relevant.

jm46 — 2024-12-05 19:51:52 UTC

Using student analytics/formative assessment to drive instructional decisions.

2024-12-05 19:52:00 UTC

data helps to make predictions for outcomes and improve decision making for the future

Interactive Learning

johnanderson5 — 2024-12-05 19:52:27 UTC

Interactive learning is an educational approach that actively involves students in the learning process, encouraging them to participate, engage, and collaborate rather than passively receive information. This method emphasizes two-way communication, hands-on activities, and real-time feedback, fostering a deeper understanding and retention of knowledge.

Data Designs Insight

johnanderson5 — 2024-12-05 19:53:09 UTC

Data Designs Insight typically refers to the use of data analysis and visualization to gain valuable insights that inform decision-making, strategies, and actions. It is often a term used in the context of data analytics, business intelligence, and data-driven decision-making.

Predictive Analytics

johnanderson5 — 2024-12-05 19:54:06 UTC

Predictive analytics is a branch of advanced analytics that uses historical data, statistical algorithms, machine learning techniques, and data mining to predict future outcomes or behaviors. It involves analyzing past data to identify patterns and trends, which can then be used to forecast future events or behaviors with a certain degree of accuracy.

The goal of predictive analytics is to enable organizations to make data-driven decisions by anticipating what might happen next, rather than relying solely on past events.

AI makes it so much faster to personalize lessons and makes personalization much more practical for teachers to do every day.

danielle_mcclary — 2024-12-05 20:03:58 UTC

xfpodnetwork — 2024-12-05 20:13:05 UTC

2024-12-05 20:13:08 UTC

johnanderson5 — 2024-12-05 20:13:08 UTC

jmvaden — 2024-12-05 20:13:20 UTC

2024-12-05 20:13:28 UTC

2024-12-05 20:13:31 UTC

2024-12-05 20:13:39 UTC

2024-12-05 20:13:40 UTC

2024-12-05 20:13:53 UTC

danielle_mcclary — 2024-12-05 20:13:56 UTC

2024-12-05 20:14:02 UTC

2024-12-05 20:14:05 UTC

2024-12-05 20:14:13 UTC

2024-12-05 20:14:16 UTC

2024-12-05 20:14:19 UTC

2024-12-05 20:14:20 UTC

2024-12-05 20:14:24 UTC

2024-12-05 20:14:29 UTC

jm46 — 2024-12-05 20:14:45 UTC

2024-12-05 20:14:50 UTC

Draw

johnanderson5 — 2024-12-05 20:15:23 UTC

2024-12-05 20:15:59 UTC

jmvaden — 2024-12-05 20:16:04 UTC

rroysden2 — 2024-12-05 20:16:24 UTC

2024-12-05 20:16:24 UTC