This slide presentation explains the problems and solutions of EFL / ESL reading classes. You can also find the theories of reading and reading skills in accordance with the Common Reference Levels.
This slide presentation explains the problems and solutions of EFL / ESL reading classes. You can also find the theories of reading and reading skills in accordance with the Common Reference Levels.
Materials development stands as a crucial domain within ELT (English Language Teaching). For individuals aspiring to enhance and advance their English skills, the utilization of appropriate materials becomes imperative. Enclosed is a PowerPoint (PPT) file, the culmination of my comprehensive research on this subject, offering a historical overview of Materials development to aid your learning journey.
The presentation explains topics on study of language, applications on natural language processing, levels of language analysis, representation and understanding, linguistic background and elements of a simple noun phrase
Reading Horizons is an effective phonics method for teaching ELL students. To learn more visit www.readinghorizons.com/elevate
Ever wonder if teaching phonics to English Language Learners (ELLs) works?
Heidi Hyte, Reading Horizons ESL Director, will discuss this topic in an exclusive web presentation. You will learn:
--The relevancy of teaching phonics to ELLs.
--Specific English language skills that ELLs gain.
--Reasons for teaching phonics to ELLs of various levels.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
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Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
2. Research on reading in a second languageResearch on reading in a second language
• By the 1970s, research on reading one’s L1 had been
flourishing for a couple of decades.
• Research on reading in an L2 was almost nonexistent
• Researcher : Goodman(1970)
4. Bottom – up & Data-drivenBottom – up & Data-driven
• Recognize a multiplicity of linguistic
signals(letters,morphemes,syllables,wor
ds,phrases,etc.)and use their linguistic
data-processing mechanisms to impose
some sort of order on these signals.
5. Top-down & Conceptually drivenTop-down & Conceptually driven
• Draw on ourown intelligence and experience to
understand a text.
6. What is the best way to read?What is the best way to read?
• Combination of top-down and bottom-
up processing.
• Interactive reading, is almost always a
primary ingredient in successful
teaching methodology.
7. 2. Schema theory and background knowledge2. Schema theory and background knowledge
• How do readers construct meaning?
• Text does not by it self carry meaning.
• The reader brings information, knowledge,
emotion, experience, and culture.
8. 3. Teaching strategic reading3. Teaching strategic reading
• What do we focus on teaching reading?
• Precognitive strategies, cognitive
strategies, metacognitive strategies.
• Pre-reading, while-reading, post-
reading, follow-up strategies.
9. 4. Extensive Reading4. Extensive Reading
• Extensive reading is a key to student
gains in reading ability
- Linguistic competence
- Vocabulary
- Writing skill
10. 55. Reading rate, fluency, and automaticity. Reading rate, fluency, and automaticity
• Fluency is a combination of both reading rate and reading
comprehension
• Reading strategies: skimming/scanning
• Increasing reading fluency →Automaticity
11. 66. Focus on vocabulary. Focus on vocabulary
• Play an important role in the acquisition
of reading skill
• Strong relationship between vocabulary
and reading ability
12. 7. The Role of Affect and Culture7. The Role of Affect and Culture
• 1. The affective factors lead to ultimate success.
• 2. Language ego, self esteem, empathy, and motivation
undergird the acquisition of spoken discourse.
• 3. The “love” of reading.
13. 8.8. Second Language LiteracySecond Language Literacy
• 1. Teaching of adults
• 2. Five major issues
14. 1.Permanence1.Permanence
• “Spoken Language” is fleeting.
• “Written Language” is Permanent
• Again & again
Characteristics of written languageCharacteristics of written language
17. 5.Complexity5.Complexity
Writing and speech represent different modes of
complexity.
Spoken language tends to have shorter clauses.
Writing has longer clauses and more subordination.
18. a. Because of the frequent ambiguity that therefore is
present in a god deal of writing, readers must do their
best to infer, to interpret, and to “read between the
lines.”
b. There’s frequent ambiguity in a lot of writing. And
so, readers have to infer a lot. They also have to
interpret what they read. And sometimes they have
“read between the lines.”
19. 6.Vocabulary6.Vocabulary
The meaning of a good many unknown words can
be predicted from their context, and because
sometimes the over all meaning of a sentence or
paragraph is nevertheless still clear, learners should
refrain from the frequent use of a bilingual
dictionary.
20. 7.Formality7.Formality
Writing is more frequently more formal than speech.
Formality refers to prescribed forms that certain
written messages must adhere to.
The reason that you can both recognize a menu and
decide what to eat fairly quickly is that menus conform
to certain convention.
Things are categorized in logical order and
subcategorized.