1. Several models have been proposed to study the relationship between individual differences and language learning outcomes, including models with independent learner variables and models with interdependent learner variables.
2. Key factors studied include affective variables like motivation, attitude, anxiety, and cognitive variables like intelligence, as well as social and contextual variables.
3. However, most models have weaknesses in clearly identifying how the various learner variables interact with each other and social/contextual variables to impact language learning outcomes. More research is needed to better understand these complex relationships.
2014 NLC Augusta - Messaging and Framing PresentationJames Hammond
Created with the intent of educating a group regarding messaging and framing this presentation walks everyone through the process of creating a press release, creating an elevator pitch, and even political adds. It also has a quick refresher on Aristotle's 3 modes of persuasion.
2014 NLC Augusta - Messaging and Framing PresentationJames Hammond
Created with the intent of educating a group regarding messaging and framing this presentation walks everyone through the process of creating a press release, creating an elevator pitch, and even political adds. It also has a quick refresher on Aristotle's 3 modes of persuasion.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Elevating Tactical DDD Patterns Through Object Calisthenics
Ict for presentation group 3
1. INDIVIDUAL DIFFERENCES and CALL
By Group 3:
ü Zulkifli
ü Eka Margianti S
ü Miftahuljannah
ü Qori Aturrahmah
ü Dhony
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2. BACKGROUND
Objective : Investigating what factors on
learners/students that may affect the
Computer-Assisted Language Learning
(CALL).
The factors have been studied on the
basis of learner variables which are
assumed to be affecting the language
learning process. And further study
observed which individual variables which
should be considered most relevant in
affecting language Templates outcomes
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learning
3. PREVIOUS STUDIES ON RELATION BETWEEN INDIVIDUAL
DIFFERENCES & LANGUAGE LEARNING
Two types of models of SLA to
individual outcomes:
1. Models with independent learner variables
2. Models with interdependent learner variables
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4. 1. Models with independent learner variables
distinguishing between individual-related variables and other variables
These models include:
a. The „Good Language-Learner‟ model
b. Monitor Theory model
c. Brown and Fraser‟s framework
d. Levin‟s schematic model.
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5. 2. Models with interdependent learner variables
assuming interrelationship between individual variables
These models include:
a. Gardner‟s educational model
b. Skehan‟s model of influences on language
learning
c. Spolsky‟s model of second language learning
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6. The „Good Language-Learner‟ Model
Consists of:
1. Three independent variables: Learner, Teaching, Context
2. Two dependent variables: Learning, Outcome
Theory:
“There is a direct link between each of the three „global‟
independent variables and the learning variables.”
Weakness:
How the independent variables and which particular sub-
variables affect the learning variable remain unclear.
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7. The ‘Good Language-Learner’ Model
TEACHING
Materials
Syllabus
Methodology
Resources
OUTCOME
THE LEARNERS LEARNING
Proficiency
Age Unconscious processes -Listening
Intelligence -Generalization - Speaking
Aptitude -Transfer - Reading
Motivation -Simplification - Writing
Attitude Conscious processes Errors
Personality - strategies Inter language
Cognitive Style Affective reason
THE CONTEXT
EFL/ESL
Opportunities for use
Social Milieu
8. Monitor Theory Model (Krashen, 1978)
O
I
U
N
Affective Cognitive T
P MONITOR
Filter Organizer P
U
U
T
T
Attitude
Affective Motivation
Filter
Self Confidence
NOTE: Affective filter may cause the
quality of acquisition (output) to be higher
Freeor lower. Templates
Powerpoint
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9. Variables :
Affective filter (learner variable), input, cognitive
organisers, and output.
Theory:
“Affective filter, being a major source of variation,
may cause the quality of acquisition (output) to be
higher or lower.”
Weakness:
How learner variables affect the learning outcomes
remains unclear.
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10. Brown & Fraser‟s (1979) Framework
Situation
Scene Participants
Setting Purpose Individuals Relationship
(bystanders, (buying, lecturing, Between
local, time) playing a game) Individuals
(shared
Individual Individual as knowledge
Qua member of a power)
individual social category
(personality, (class, ethnicity)
attitude)
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11. Variables:
Scene, Participant, Language Choices
This theory examines how individual situational
(consists of Scene and Participant) variables affect
language choices.
Weakness: There is no clear concept of how
factors within this framework interrelate and
affect language use (production).
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12. Levin‟s (1977) Schematic Model
Variables:
Input (learner variables) & Output
Theory focuses on describing individual
differences in output, wherein input variables
refer to those that differentiate learners in terms
of traits, abilities, and prerequisites that are
related to successful output-task performance.
Weakness:
It is unclear which input variables that lead to
learners‟ variation in output or how the different
variables influence one another.
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13. Gardner‟s (1979, 1985) Educational Model
Social Individual Outcomes
Differences
Contexts
Milieu
Intelligence
Formal Linguistic
C Language
U
L
training
T Language
U Aptitude
R
A
L
B Motivation
E
L Non-Linguistic
I Informal
E
F Language
S Experience
Situational
Anxiety
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14. Variables: social mile (cultural
beliefs), individual
differences, Second language
acquisition contexts, and
Outcomes.
These models highlight the
interrelationship between variables
(social, individual, and context
variables) in influencing language
learning outcomes.
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15. Skehan‟s (1986, 1989) model of influences
on language learning
Improvement from Naiman‟s „Good Language-Learner‟ model,
however Sekhan highlights the importance of a joined-variables
effect on language learning.
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16. The Learner
Classrooms
and materials
Materials Opportunities
Learning Outcome
Syllabus for TL use
Methodology
resources
Social Context
Expectation of
bilingualism
Relationship to target
language community
Attitude to target
language
Social Class
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17. Variables:
Classroom and materials, Social Context,
Opportunities for target language use, The
Learner, Learning, and Outcomes.
Weakness:
This model does not clearly identify the role of
individual learner related variables and how they
relate to other variables.
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18. Spolsky‟s (1989) Model of Second Language Learning
Variables:
Social context, condition of learner, learning opportunities.
This model examines individual differences resulting from 74
restricted conditions.
His model is based on 5 features:
•All aspects of second or foreign language learning were
combined in a single theory.
• Restricted to the specific domain of second language learning
and focused on individual differences.
•Eclecticism, in which a model of second or foreign language
learning should be “open” to different conditions instead of being
limited to a particular pattern or set of condition.
•Recognising “social context” as an important domain which
affects learning outcomes.
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19. Two main clusters in Spolsky‟s model:
1. Conditions of social context, i.e.
conditions which influence
learning in two ways.
2. Conditions of learners
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20. Social context
Motivation
Age Personality Capability
Previous
Knowledge
Learning
Opportunities
(formal or
informal)
Linguistic and
non linguistic
outcomes for the
learners
21. INDIVIDUAL
Ag
DIFFERENCES
e Attitu
des Motivation
Intelligence
Language aptitude
Previous knowled
Familiarity with com
Interaction with native-s
Language used for interaction
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