Historically, access to quality writing supporthas been unevenly distributed, often influenced bythe resources available in the school district. Studentsfrom under-resourced backgrounds have faced sig-nificant disadvantages in this regard. This AI tool,accessible to anyone with an internet connection,offers an opportunity to help level the playing field
Ai can act as a 24/7 writing tutor for students who don't have access to private tutors or extra help at home.
Interacting with ChatGPT is an iterative pro-cess. You can and should re-prompt it to meet yourgoals and needs. This creates what is known as a chainprompt.
Writing with Ai is not a one and done task.
How peo-ple choose to use ChatGPT speaks to their intent,”observes Yoder-Wise. “That intent could be to enrichsomeone’s understanding of how better to articulatemessages. . . . The intent could also be to deceive oth-ers in the presentation of written materials”
Ai is neutral, the morality depends entirely on the writers goals (learning vs cheating).
In contrast, wetland plants possess adaptations to keep oxygen flowing to the rootswhere much respiration occurs
Main idea; plants unable to adapt to such conditions will not survive
In the early days, hydrology, especiallythe presence of surface water, was their defining characteristic as it was critical tosupport natural resources associated with food, waterfowl, and fish. In the twentiethcentury, wetlands were mostly recognized for their biological productivity. The breed-ing grounds of waterfowl or duck “factories” of the upper Mississippi River and theprairie pothole region of the US and Canada spurred the purchase and protection offreshwater wetlands by the U.S. Fish and Wildlife Service (USFWS) (http://www.fws.gov) and Ducks Unlimited (http://www.ducks.org). Wetlands also were importantto the fur industry with the harvest of beaver, muskrat, and nutria. It was much laterthat wetlands became recognized for other reasons: their high levels of nongame bio-logical production, ability to cleanse water by trapping pollutants, sequester carbon,maintain high levels of biodiversity, and more.
Lists how importance of wetlands have evolved, ranging from the hydrology that support natural resources to their nongame biological production, cleansing water, carbon sequestration, high levels of biodiversity, and more
delineated
describe or portray accurately
It’s about shaping a future where human creativity and technological advancement progress hand in hand.
i believe this is a great quote to end the article, i too share the. belief that "Human creativity and technological advancement progress hand in hand"
We noted that while using ChatGPT improved students’ creative output individually, the AI ideas tended to be repetitive overall. This is likely due to generative AI recycling existing content rather than creating original thought
A common problem which seems to be recurring in other articles, understandable due to the nature of the problem at hand. How would AI respond if it did not have all of the internet at its disposal?
The good news is that the students in our study generated more diverse and detailed ideas when using AI. They found that AI was useful for kick-starting brainstorming sessions. Other research has shown that AI can also serve as a nonjudgmental partner for brainstorming, which can prompt a free stream of ideas they might normally withhold in a group setting.
Having a partner which happens to be non-biased helps writers come up with more ideas and offer ideas which otherwise might have been suppressed.
Students tend to view AI as having a positive impact on their creativity. In our study, 100% of participants found AI helpful for brainstorming. Only 16% of students preferred to brainstorm without AI.
great quote to use which informs the reader that only 16% of students prefer to to brainstorm without AI.
In the study, we asked college students to brainstorm – without technology – all the ways a paper clip can be used. A month later, we asked them to do the same, but using ChatGPT. We found that AI can be a useful brainstorming tool, quickly generating ideas that can spark creative exploration. But there are also potential negative effects on students’ creative thinking skills and self-confidence.
Brainstorming ideas is a major part of writing, making students think about the ways a paper clip is used without technology and then with is a good way to gauge both sides of the coin. Would testing the students using technology first and then without, change the outcome?
Five challenges
1) authentic texts, (2)meaning/connection making, (3) focus/interest, (4)differentiation (5) time
1) routines and explicit instruc-tion, (2) use of pictures and movement and (3) useof materials such as decodable texts and mirrors.
Benefits
were two primary sources of data for this analy
OR legislation mandating all K-3 teachersreceive LETRS
(Language Essential for Teachers of Reading and Spelling
over-allotment of instructionaltime and focus on phonics and English foundationalskills, reduced time and attention to bilingual lan-guage development, lack of culturally relevant contentand negative impacts on teachers’ professional prac-tice, including their sense of agency to enact instruc-tional practices
challenges with instructional decisions
need for teachers of MLs to make in-structional adaptations to best meet the needs of MLswhen working within a SOR-aligned curriculum
More help than non MLs
suchas translanguaging, or supporting students’ use of alltheir language resources
fluidly to communicate, think, and learn, rather than keeping languages separate.
language activists
Analysis of teachers being able to adapt their teachings for their students needs especially acting as language policymakers.
decision-makers and policymakers who interpret andimplement policies, practices and ideologies throughinstruction
Teacher Agency
LOLcats. December 2008. URL: https://knowyourmeme.com/memes/lolcats (visited on 2023-11-24).
While this might not be the first meme, it is what I consider the birth of internet memes. This source talks about LOLcats, which are pictures of cats with humorous text which was popularized on 4chan. All memes in my opinion stem from this. It's crazy how far memes have come since then from being images of cats to short clips on reels.
Tom Knowles. I’m so sorry, says inventor of endless online scrolling. The Times, April 2019. URL: https://www.thetimes.co.uk/article/i-m-so-sorry-says-inventor-of-endless-online-scrolling-9lrv59mdk (visited on 2023-11-24). { requestKernel: true, binderOptions: { repo: "binder-examples/jupyter-stacks-datascience", ref: "master", }, codeMirrorConfig: { theme: "abcdef", mode: "python" }, kernelOptions: { name: "python3", path: "./ch05_history" }, predefinedOutput: true } kernelName = 'python3'
In this article, Tom Knowles writes on the words of Aza Raskin, the inventor of the concept of a social media "infinite scroll": it details Raskin's regrets that the concept he pioneered has worsened social media addiction and its associated negative externalities (the article notes depression as being linked to excessive social media use). It also details some of Raskin's attempts to remedy his perceived mistake through his "Center for Humane Technology"- a center that advocates for social media companies to design sites in a way lessens media addiction.
om Knowles. I’m so sorry, says inventor of endless online scrolling. The Times, April 2019. URL: https://www.thetimes.co.uk/article/i-m-so-sorry-says-inventor-of-endless-online-scrolling-9lrv59mdk (visited on 2023-11-24).
This article talks about how the inventor of endless scrolling on apps and websites, regrets his creation. This is like a case of just cause we could doesn't mean we should. He acknowledges the impact that endless scrolling has on users experience. He explains he regrets the invention due to it's effect on users, and it's influence to addiction and dependence to social media. It was designed as something that was meant to ease user experience, but later becomes something that hurts the user in the long run.
"Our trouble came from living, from liquor and the dollar bill. We stumbled toward the government bait .never looking down, never noticing how the land was snatched under us every step.
they used those voting rights to overcome traditional views and facilitate allotments of Kaw Lands.
One of the ways this tribal destruction was accomplished was to give mixed blood kaws voting rights
ambivalence and tension that resulted when Indian people tried to live with both Native American and Roman Catholic religious beliefs .
Edrich points out serious problems with the coming of catholicism
The Fragmentation of a Tribal People in Louise Erdrich's Tracks
Effects of the General Allotment Act of 1887
The Fragmentation of a Tribal People in Louise Erdrich's Tracks
Before this centralization of media in the 1900s, newspapers and pamphlets were full of rumors and conspiracy theories [e2]. And now as the internet and social media have taken off in the early 2000s, we are again in a world full of rumors and conspiracy theories.
Something this makes me wonder is whether rumors and conspiracy theories were more believable then than now. Back then, it would've been a lot harder to prove a theory false and would take longer to find evidence proving otherwise. With the internet, it is a lot easier to access reputable sources and learn about and debunk a theory. However, the internet also allows for more disinformation to spread along with the information. Not only that but it also becomes much easier to create fake evidence.
Providing clear DEI statements b
Given the current political climate, I wonder if orginizations are finding workarounds?
A sample review specific to science education is included as a resource for reviewers. JRST (2021) also includesa DEI statement:The Journal of Research in Science Teaching (JRST) seeks to work with scholars from a range ofinstitutional affiliations, nationalities, and career stages. We are committed to increasing diversityand inclusion in research and publishing from applicants of all ethnicities, races, religions, sexes,sexual orientations, gender identities, national origins, disabilities, ages, or other individual status.We encourage all authors to engage with and cite sources by scholars and other writers from groupsthat are often excluded or ignored within academia. Additionally, we ask reviewers to consider,among other evaluation criteria, whether the citations for a given submission reflect the journal'scommitment to diversity. We are committed to eliminating the influence of bias in our editorial andreview processes and continually work toward identifying and implementing equitable practices forpublishing in JRST
I appreciate the DEI stament, especially now, given the climate.
Several studies we cite used an algorithm alone or an algorithmin combination with human assessment of gender to assign a code of male or female based on the sextypically associated with their first name, the pronouns their first name is typically associated, and theirgender presentation in pictures on institutional websites (e.g., Edwards et al.,2018;Murrayetal.,2018,2019;Walker et al.,2015;Westetal.,2013)
I am fascinated that algorithm's are organizing based on names. Names are so symbolic as well as completely subjective.
ny scholars with marginalized identities research topics of equity out of a necessity to highlight their livedexperiences within an educational system embedded with social injustices normalized by their majoritariancolleagues
I would second that. I think we tend to research what we know or are interested in.
female first authors were six times less likely to be the corresponding author compared to whenmen were the first author
Has this been compared with female and male peer reviewers?
faculty are men and men outnumber women two‐to‐one among the rank of full professor
this is because of bias.
algorithm
I can understand why using an algorithm might be easier, but it does not take into consideration the nuances. Making using the algorithm biased
reviewer to use anunfriendly tone,
but tone is interpreted by the reader, is it not? What if the reviewer is just a matter of fact type of person?
core concern for scholars.
Should it then be reviewed by a person in a similar SIG?
gatekeepers
Another form of elitism.
Castillo is serving an 11-year prison sentence after attempting to close Congress and rule by decree in 2022, just over a year into his term.
lmao
“If you look at the past couple of years, it seems like we’ve had a lot of once-in-a-lifetime events,” said Marc Zimmerlin, partner at Oliver Wyman and one of the report’s authors. “Obviously that’s not part of anybody’s business planning.”
the number of once in a lifetime events is increasing
“For most participants the situation was a surprise,”
people have no idea what's happening
Reasserting linguistic self determination as an inheretant human right
Navajo Language was their fist known language and english was their second
"Language Loss' "Language shift"
illuminate language attitudes and ideologies
Langauge conncects to the natural and spiritual world
“Reclaiming the Gift: Indigenous Youth Counter-Narratives on Native Language Loss and Revitalization.”
“Reclaiming the Gift: Indigenous Youth Counter-Narratives on Native Language Loss and Revitalization.”
his is a significant question to explore as an accelerating amount of creative, academic, media, and work outputs are the result of an intermixing of human and AI contributions.
Giving credit to AI can help some people for plagiarism for not give Ai their proper credit. Even though it is not needed.
In an academic context, there is ongoing debate about whether ChatGPT should be used to help write, and so be listed as an author on, scholarly outputs. Several published papers already list ChatGPT as one of the authors (Stokel-Walker [42]), prompting publishers to clarify that ChatGPT, even if it makes significant scholarly contributions to an article, cannot be listed as an author as it cannot take responsibility for the content it produces or consent to the dissemination of its creations
Even though giving AI credit can seem like you aren't plagiarizing, Crawford, Lee, and Van Gelder say that giving credit to Ai is not necessarily because AI can't take responsibility for its content it produces.
GenAI is also being used in the creation of movie and television scripts and in various aspects of music creation and production, leading to controversies over whether work created exclusively by, or in collaboration with, AI should be eligible for creative awards (Edwards [10]).
If genAI is being used in this way to write scrips for movies then it could be believed that it is being used to make more artist pieces of writing.
We argue that the decisions writers makeabout whether to use generative AI in their process are, at their core, decisionsnot about platforms but about what writing is for and how writing happens.
Hispresentation, based on students’ written reflections of their experiences usinggenerative AI, highlighted key differences between how students understoodwriting (as a way to gather and transcribe information for outside readers)and how the field talks about writing (as a way to do complex thinking andcreate new ideas).
By bringing in more explicit discussions of writing and learning inour course, we hoped to address the main critique discussed at that panel:students using generative AI did not value the writing process or understandthe relationship between writing and critical thinking.
developing an explicitunderstanding of how to use generative AI ethically, and experimenting withgenerative AI tools in their writing in an approved setting.
We hopethat the assignments, readings, and activities help our students become moreconfident and knowledgeable about their choices to use or not use generativeAI in certain situations.
The course, designed as a semes-ter-long inquiry, invites students to explore how generative AI affects writ-ing and writers.
. We want students to articulate thelimitations of generative AI writing technologies and also develop clear ethicalboundaries for themselves as writers as they make decisions about whether andhow to use generative AI.
“What does it meanto be a writer using AI?” Extending the scope of revision beyond individualassignments gives students the “time and space for further consideration of awriting problem” (Downs 66).
We argue that the decisions writers makeabout whether to use generative AI in their process are, at their core, decisionsnot about platforms but about what writing is for and how writing happens.
This recursivity is intentionaland important, as it helps students practice what “expert readers” do: studentscome back to a text over and over again, revising their understanding of thesource itself as well as their own evolving ideas about how generative AI affectswriters.
We see the course as an exercise in sustained revision: each assignmentcarefully links to the next, and students revise their thinking about writing,generative AI, and their own writing philosophies as they move through theassignment progression.
Hispresentation, based on students’ written reflections of their experiences usinggenerative AI, highlighted key differences between how students understoodwriting (as a way to gather and transcribe information for outside readers)and how the field talks about writing (as a way to do complex thinking andcreate new ideas).
Teachers also face challenges adapting to and working in the age of A.I, they have to regulate how much of an assignment is A.I generated vs human authored.
Most would argue in favor of use A.I, as it makes revisions and carries the burden of some assignments.
"We prompt them to consider what exactly changes when they use generative AI tools, and how each tool-and their decisions about how we use each tool- affects their writing processes and writing identities."(Panning Laura J et al. 13)
Is it authentic for a writer to use AI in their writing, what would that mean or spell out for the writer? (Panning Laura J, et al. 129)
There are many ethical debates surrounding the use of A.I in learning courses. (Panning Laura J, et al. 124)
¿Cuál es el ingrediente principal de tu receta? ¿Puedes encontrar el ingrediente en el supermercado de tu barrio?
El ingrediente principal de mi receta es el pescado. Sí, puedo encontrar el pescado en el supermercado de mi barrio.
onlyfans.com/annediamondxxx/c1
OF shill.
guillenn
Pictures posted all over network, assumed to be scammer.
_________
Qué
________
qué
If you ever completed a similar process
It also emphasizes that without improving training programs, organizations risk poor performance, wasted resources, and missed opportunities for growth.
Does your workplace have an effective training program? If it does, how is it evaluated and what are the benefits and outcomes of the specific training program?
It highlights the importance of evaluating whether training is effective, how it is measured, and if models like the Kirkpatrick Model are being used.
Reflective Question
This section encourages reflection on personal experiences with training programs, helping connect the concepts to real-life situations in the workplace or school.
Moreover, an evaluation report can be developed for future reference.
Different methods like questionnaires, interviews, focus groups, and observations are used to collect data, which is then analyzed and turned into a report to guide future decisions and improvements.
Methods for evaluating
The purpose of evaluation is to see if training goals were met, if employees gained useful skills, and if the training actually solved business problems or improved performance.
Why do we want to evaluate the training program?
The evaluation process follows clear steps: identifying the purpose, choosing a method, designing tools, collecting data, and analyzing/reporting results to determine effectiveness.
AI collaboration or cheating? Using explainable authorship verification tomeasure AI assistance in academic writing
. GenAI can be misused for UCG, allowing students to delegate entire writing tasks, potentiallybypassing authentic learning. Detecting such misuse is particularly difficult when human and AI inputs areblended, paraphrased, or obfuscated (Weber-Wulff et al., 2023).
These toolscan unfairly penalise non-native English speakers, whose simpler writing styles are often misclassified as AI-generated (Kim & Lee, 2023). Addressing these limitations requires more equitable, transparent methods capableof capturing nuanced human-AI collaboration patterns.
For instance, Gebreegziabher and colleagues (2023) found that higher-performing studentsactively refine AI-generated content, while lower-performing students rely passively on AI, limiting deeperengagement. Similarly, Stanford’s CoAuthor project (Hai, 2023) illustrates productive collaboration practices,demonstrating how AI can enhance, rather than replace, student effort.
he style of a text can be analysedthrough a diverse array of stylistic attributes, including lexical properties (e.g., word usage, sentence length),syntactic traits (e.g., function word use, punctuation), structural layout, content indicators (e.g., n-grams), andidiosyncrasies (e.g., typos or grammar mistakes) (Abbasi & Chen, 2008; Zheng et al., 2006).
). Applications of AI ineducational settings include adaptive learning systems, recommender systems, predictive analytics, chatbots,and, more recently, genAI tools such as large language models (LLMs).
GenAI can be misused for UCG, allowing students to delegate entire writing tasks, potentiallybypassing authentic learning. Detecting such misuse is particularly difficult when human and AI inputs areblended, paraphrased, or obfuscated (Weber-Wulff et al., 2023).
These stylistic markers are instrumental in AV, as they serve to identify an author’s distinctive writing style anddetermine whether a specific text aligns with that style (Koppel & Schler, 2004; Potha & Stamatatos, 2014).
Authorship Verification (AV)—a method traditionally used to determine whether two documents were authoredby the same individual (Koppel & Schler, 2004)—offers a promising yet underexplored solution in educationalcontexts.
Distinguishing AI-generated text from human-authored content is necessary for understanding student learningbehaviours, supporting skill development, and maintaining academic integrity. Analysing student writingpatterns can help educators understand students’ use of AI, track their writing skill progression, and identifysupport needs (Oliveira et al., 2024; Pan et al., 2025)
By integrating lexical and syntacticfeatures into a transparent and robust AV framework, we effectively distinguished between student-authored andAI-generated texts, even under mimicry scenarios.
Distinguishing AI-generated text from human-authored content is necessary for understanding student learningbehaviours, supporting skill development, and maintaining academic integrity. Analysing student writingpatterns can help educators understand students’ use of AI, track their writing skill progression, and identifysupport needs (Oliveira et al., 2024; Pan et al., 2025)
Human-Artificial Intelligence (HAI) collaboration in writing offers opportunities to enhance efficiency and booststudent confidence; however, it also carries risks, such as reduced creativity, over-reliance on AI-generatedcontent, and academic integrity (Kim & Lee, 2023)
"Authorship Verification (AV) a method traditionally used to determine whether two documents were authored by the same individual (Koppel & Schler, 2004) - offers a promising yet underexplored solution in educational context."(Eduardo Oliveira et al. 100)
A person's writing patterns can be used to determine if a text or written passage is Ai generated or human authored.
AI can make it difficult for being able to distinguish between human authored and Ai generated writing.
"For instance, Gebreegziabher and colleagues (2023) found that higher-performing students actively refine AI-generated content, while lower-performing students rely passively on AI, limiting deeper engagement."(Eduard Oliveira et al. 101)
GenAi tools such as ChatGPT have introduced new forms of collaboration in writing between humans and Ai.
Dos de las preguntas no tienen una palabra interrogatoria… ¿qué tipo de respuesta necesitas dar a una pregunta sin palabra interrogatoria? (sí/no rather than información)
Las preguntas sin palabra interrogatoria son preguntas de sí o no. Para estas preguntas, necesitas responder con sí o no, no con mucha información.
Busca todas las preguntas en esta conversación y apunta las palabras interrogatorias.
qué, por qué, cuándo, dónde, cómo, quién.
HR professionals and management will engage in strategic discussions on employee learning based on a continuous improvement focus to ensure employee training remains relevant and impactful.
Improvement is a continuous process where HR and trainers work together to make changes, then reflect on results to keep training relevant and effective.
HR professionals should present clear expectations at work in the training program to allow trainees to understand and apply what they have learned to the workforce.
lear goals and workplace expectations need to be set before and during training so employees understand the purpose and how to apply what they learn.
Therefore, training programs can be improved to enhance the performance of the individual and business
Training programs should always be improved after evaluation, since finding weaknesses is normal and helps avoid repeated ineffective results.
Andriotis (2019) mentions the following training program evaluations:
The Kirkpatrick Model evaluates training through levels like reaction, learning, behavior, results, and ROI to measure full effectiveness. A strong evaluation looks at whether training leads to real behavior changes and measurable results in the workplace, not just learning during training.
The training program evaluation can be linked to individual employee performance and productivity and how they affect organizational success.
Evaluations should connect results to both individual performance and organizational success, focusing on outcomes like productivity, morale, and profitability.
Interviews, questionnaires, and surveys can be collected from the trainees to determine the level of effectiveness of the training program.
Collecting feedback through methods like surveys, interviews, and observations helps HR understand what’s working and what needs improvement.
Training Evaluation
Training evaluations should identify issues, gaps, and missing information in the program, especially in areas like design, delivery, and overall effectiveness.
Overall, the outcomes and benefits of effective training programs include increased employee morale, knowledge, skills, abilities, and competencies. This leads to significant organizational benefits such as improved productivity, performance and customer satisfaction.
Training evaluations are important because they ensure all parts of the training process (design, delivery, and outcomes) are aligned with organizational goals. Effective evaluations lead to benefits like higher employee retention, better performance, increased sales, and improved customer satisfaction. HR professionals use evaluation results to improve future training, keep what works, and fix what doesn’t to support overall organizational success.
By providing effective training, organizations can increase their productivity levels, service efficiencies and overall organizational performance.
Metrics like employee engagement and Net Promoter Score help show whether employees found the training valuable and would recommend it to others.
As many people easily forget information, organizations must find ways to maintain knowledge and skill retention among their trainees.
One important idea is that training should lead to real performance improvements, which can be seen through better productivity, engagement, and organizational results.
To determine whether the training program implemented is effective, it is helpful t to analyze the time to proficiency.
Section 9.3: Indicators of an Effective Training Program EISHA BHANGU; JOVENVIR BIRK; AND XINYU CAO
To determine how effective a training program is, a combination of qualitative and quantitative measurements needs to be taken into account (Ayesha, 2021). Through consistent evaluations of the effectiveness of the program, organizations can recognize its strengths and weaknesses. The following are some of many indicators that can be used to assess efficiency. Time to Proficiency To determine whether the training program implemented is effective, it is helpful t to analyze the time to proficiency. To get the best results in a short time frame, the training program must allow trainees to learn quickly. Organizations can do this by ensuring the learning is concise and engaging. To assess time to proficiency, trainers can form focus groups and evaluate learners’ performance. This can be accomplished before and after training to identify the time it takes to reach a certain level of proficiency (Ayesha, 2021). Knowledge and Skill Retention As many people easily forget information, organizations must find ways to maintain knowledge and skill retention among their trainees. Competencies can be retained by keeping training programs engaging, short and repetitive across regular intervals. To determine the effectiveness of the training program, trainers can assess learners’ ability to retain knowledge and skills. This can be evaluated by determining the difference between the trainee’s performance before and after training (Ayesha, 2021). Transfer of Training The main purpose of training employees is to allow them to turn knowledge into skills to provide better outcomes. The performance of employees impacts the overall performance of the organization. Therefore, it is important to ensure the training program is enabling trainees to successfully improve. The success of the transfer of training can be measured through various factors including training follow-up, performance data and observation (Ayesha, 2021). Impact on Organizational Performance Metrics By providing effective training, organizations can increase their productivity levels, service efficiencies and overall organizational performance. Therefore, training is a key contributor to an organization’s success rate. To measure the impact of training on organizational performance, organizations should measure the performance metrics before and after training (Ayesha, 2021). Employee Engagement To ensure employees are fully engaged, businesses must prioritize employee satisfaction, confidence and commitment. Engaged employees are motivated and will perform more efficiently. To measure employee engagement, organizations can use analytic tools to ensure successful job performance. Through employee engagement, organizations can increase employee retention and reduce turnover rates (Ayesha, 2021). Net Promoter Score To ensure that customers are satisfied with businesses, the Net Promoter Score (NPS) can be used to assess customer experiences and satisfaction with the organization (Ayesha, 2021). This helps employers determine how well the employees are performing their jobs. To measure the Net Promoter Score, customers are required to evaluate how likely they are to recommend the organization’s services to their friends and peers based on their personal experience. This same process can be used to measure an employee’s satisfaction level at a workplace. Employees can assess how likely they are to recommend the training program to their co-workers. This helps organizations determine how effective their training programs are and identify improvements that need to be made (Ayesha, 2021).
Outcomes of Effective Training Program Evaluations Why are Training Program Evaluations Important? Training program evaluations allow organizations to recognize if the needs analysis, training design and delivery, and training evaluation are aligned and serving the organization’s needs. Andales (2021) states that the indicators of training effectiveness are the acquisition of new skills and knowledge, learning experience, employee happiness, efficiency and financial impacts. Benefits and Outcomes of Training Program Evaluations The benefits of training evaluation include employee retention, increased sales, higher quality ratings, improved customer satisfaction, and fewer complaints from employees. Outcome and action-oriented results are obtained from training program evaluations, along with actionable steps and decisions for leaders, managers, and employees within organizations (Leading Effectively Staff, 2020). Organizational Benefits The benefit of effective training program evaluations is primarily related to organizational success. More specifically, organizational success refers to increased productivity, performance and employee morale. Evaluating the effectiveness of training programs, will lead to organizational benefits. This can be shown through key HR metrics such as increased retention rates and lower turnover rates, along with increases in top performer rates. Application to the HR Industry HR professionals can learn from both effective and ineffective training programs. HR professionals can build off successful training programs by continuing to offer the same training programs to employees. On the other hand, HR professionals can determine if a training program is inadequate by a lack of training retention and transfer into the workplace. Overall, the outcomes and benefits of effective training programs include increased employee morale, knowledge, skills, abilities, and competencies. This leads to significant organizational benefits such as improved productivity, performance and customer satisfaction.
Text : +16125929476
stolen pictures, likely scammer.
To ensure the learners complete this part of the evaluation, ask for 2-3 suggestions on how to improve the training program.
The evaluation focuses on key areas like effectiveness, comprehension, attractiveness, engagement, and suggestions to fully understand the training experience.
To develop a questionnaire for the training program, trainers must ask for ways to improve to successfully complete the evaluation
Post-training evaluations rely on learner feedback to determine how effective the program was and what improvements need to be made.
This aspect of the post- training evaluation questionnaire defines how well the program was delivered to the trainees
No single tool is perfect, so using a combination helps organizations get a more accurate understanding of how effective the training really is.
When creating an evaluation questionnaire, assessing the effectiveness of the training program is the most important factor. This determines whether or not the learners gained the required knowledge as outlined by the program’s learning outcomes.
Questionnaires are efficient for gathering feedback from many people, while interviews provide deeper, more detailed responses, and observations focus on actual behavior after training.
Through the learner’s feedback, organizations can assess the success rate of their training program so they can gain insight into the learner’s experience and make changes accordingly.
Organizations use different tools like questionnaires, observations, and interviews to evaluate training, each with its own strengths and weaknesses (cost vs. depth of insight).
They dubbed the igneous survivors pristine rocks. The criteria for the recognition of igneous rocks include coarse-grained igneous textures, uniform mineral compositions, and low concentrations of siderophile elements such as iridium and silver (siderophile elements tend to concentrate in metallic iron), which were added to breccias by impacting projectiles rich in siderophile elements.
MO4.10 List characteristics of igneous rocks formed in different continental settings.
This is a good example of how they used the characteristics of the igneous rocks that formed due to impacts to differentiate them from the original mantle and rocks that formed from it.
Petrologists subdivided the FAN suite into four subgroups, showing that the FAN suite is complicated, as were the processes than led to its formation. The subgroups are ferroan anorthosites (the most abundant, with a plagioclase composition of An>95), sodic anorthosites (An92–95), mafic ferroan rocks (plagioclase abundance is still high, typically >80%, with An>95), and mafic magnesian rocks (plagioclase abundance is >75%, with An>95). This range in composition suggests that the rocks formed at different stages of crystallization of a chemically complicated magma ocean. However, things may be even more complicated. Takeda et al. (2006) describe a chip of magnesian anorthosite in lunar meteorite Dhofar 489 (sample d2, Figs . 2 and 3). The sample has the same low concentrations of incompatible elements and low Na/Ca as the ferroan anorthosites but has a much higher Mg#.
MO 2.4 Use compositional variation diagrams to critically evaluate hypotheses regarding the evolution of a suite of related igneous rocks (e.g., by fractionation of specific minerals).
This is a good example of how they are using the varying composition of the rocks in a suite to help hypothesize how it had evolved.
Figure 4 Photomicrographs of pristine highland rocks and a granulite. (A) FAN sample 62236,5 is a plagioclase cumulate with intercumulus orthopyroxene (with augite exsolution lamellae). This area is particularly rich in pyroxene; plagioclase comprises 85% of the bulk sample. (B) Mg-suite troctolite with cumulate olivine and plagioclase; sample 76535. (C) Unbrecciated clast of Mg-suite norite; sample 76255,73. (D) KREEP basalt with a subophitic texture characteristic of crystallization in a basaltic lava flow; sample 15386. (E) Felsite, showing a graphic intergrowth of quartz and K-feldspar; sample 14321,1047. (F) Granulitic breccia consisting of an assemblage of very fine-grained plagioclase, olivine, and orthopyroxene crystals with a hornfelsic texture; sample 79215,71. Abbreviations: Plag: plagioclase; Opx: orthopyroxene; Pig: pigeonite; Qtz: quartz; Kspar: potassium feldspar.
MO4.8 Describe distinguishing characteristics of igneous rock types formed at subduction zones (e.g., mineral assemblages, textures), and identify andesites, diorite, granite, and tuff in hand sample and thin section.
This is a clear example of using thin sections to distinguish characteristics of the rock.
The Mg-suite is enriched in KREEP compared to the ferroan anorthosite suite (Fig. 3). It thus has the unusual attribute of having high concentrations of trace elements coupled with relatively high Mg#. In other words, the major-element fractionation index suggests primitive magmas, but the trace elements indicate evolved magmas
MO4.11 Use appropriate geochemical plots to illustrate how the trace element and isotope geochemistry of igneous rocks constrain melting processes in different tectonic settings.
This helps exemplify this learning objective and acts as a good example of how conclusions that could be drawn of original tectonic setting depends on the trace elements.
While the thickness of the crust is uncertain, the high Al2O3 content of the highlands requires that the mantle contain no more than 1 wt% Al2O3 if the Moon is not enriched in refractory elements (Taylor et al. 2006). On the basis of geochemical signatures in some mare volcanic glasses, Neal (2001) postulated that the lunar mantle below ~500 km contains 2–3% garnet, which has implications for the bulk lunar Al2O3 content.
MO4.4 Discuss how major element geochemistry elucidates melting and crystallization processes at mid-ocean ridges and oceanic hot spots.
This section exemplifies this learning objective because it is a good example of where they had the geochemistry on the surface and were able to use that to determine the composition of the magma in the mantle that had been there in the past.
________
pongo
__________
veo
__________
doy
___________
traigo
_________
salgo
____________
pongo
___________
veo
_________
hago
Organizations need to seek approaches that encourage trainees to participate in the training to achieve the maximum training results (Taylor, 2016).
Clear objectives and motivation are key, since employees need to understand the purpose of the training and feel encouraged to participate.
As the trainees will be practicing new knowledge and skills, it is essential to ensure the training is provided in a safe environment where mistakes are allowed and will not be judged
Feedback and a safe learning environment are important because employees need to practice, make mistakes, and feel supported to improve.
Receiving feedback from the process is essential when trainees are acquiring new knowledge and skills.
Training should be interactive and engaging so employees actually learn and retain the information instead of just passively listening.
To achieve the maximum results, it is essential that the programs are evaluated and improved regularly
Effective training can lead to bigger outcomes like increased productivity, higher ROI, better skills, and lower employee turnover.
Training programs that are consistently evaluated and adjusted provide employees with valuable learning experience and confidence in performing their daily tasks. This will help reduce employee turnover, which can ultimately reduce the effort and money invested in excessive recruitment and selection processes (Bahu, 2020).
Training acts like a “direction” for the organization, and evaluation helps confirm whether it’s actually helping the company reach its goals.
Organizations invest large amounts of effort and money into designing and implementing training programs in the hopes of helping their employees acquire better skillsets and become more productive at work. However, a poorly designed training program will not only fail to achieve this goal but will also waste the resources and time devoted to the training program.
Training evaluations make sure the time and money spent on training actually improve employee performance and aren’t wasted on ineffective programs.
¿Cuáles formas de estos verbos tienen una irregularidad? ¿Cuál consonante aparece en esas formas irregulares?
Las formas irregulares son las de yo: digo, traigo, salgo.
La consonante que aparece en esas formas es la g.
Busca las formas de los verbos que siguen: decir, traer, salir
Decir: digo, dices, dice, decimos, decís, dicen Traer: traigo, traes, trae, traemos, traéis, traen Salir: salgo, sales, sale, salimos, salís, salen
___________
dice
___________
pides
__________
ríen
___________
repito
__________
seguimos
_________
sirven
_________
sonríes
¿Cuáles formas de estos verbos tienen un cambio en la vocal de su raíz, y cuáles formas no tienen cambio? ¿Cuál verbo tiene una forma con una irregularidad adicional
Las formas con cambio en la vocal son: dices, dice, dicen; sirves, sirve, sirven; pides, pide, piden.
Las formas sin cambio son: decimos, decís; servimos, servís; pedimos, pedís.
El verbo que tiene una irregularidad adicional es decir, porque en la forma “yo” es digo.
Busca las formas de los verbos que siguen: decir, servir, pedir
Decir: digo, dices, dice, decimos, decís, dicen Servir: sirvo, sirves, sirve, servimos, servís, sirven Pedir: pido, pides, pide, pedimos, pedís, piden
Endings
When the PC's return to the hall at the end of the session the man in the pitchur has changed to be a portrate of Gustav Durst.
PLAYER INFO: As you leave the mansion you take one last look back at the great hall. You notice that the portrate has changed. It is another brooding, malevolent man, Gustav Durst, the owner of the house in days long past.
2. Main Hall
PC INFO: 1 You notice in the wall, behind the grand stair case a gold framed painting that dominates the hall. It is a full length portrate of a pale man with brooding features and a mocking smile, He is dressed all in black except with a red waistcoat, he holds a gold goblet nonchalontly in his right hand. His red eyes stare out at you, seeming to follow your every move.
DM INFO: 2 When the PCs return to the main hall at the end of the story, the figure in the painting is gone, replaced by a less inspireing but still malevolent man. This is Gustove Durst, - See endings
________
huevos
________
pan
________
pollo
_______
mantequilla
_________
leche
_________
ensalada
________
azucar
_______
banana
The problem is that a hundred million of these units would be needed just to keep up with the additional carbon dioxide emitted into the atmosphere by our economic activity.
This highlights that carbon-removal technology sounds helpful, but it may not be practical because we would need an extremely large number of machines.
since 1945, it has surged to 385 ppm, and shows no signs of slowing
This shows how carbon dioxide levels have rapidly increased in recent years, meaning global warming is getting worse.
Objects# The other way of saving information that works similarly in Python is through an object. We won’t be creating any in this book, but we will have to get data from some.
On coming across the "Objects" section, I couldn't help but compare them to dictionaries. Both in a sense map predetermined keys (in the case of an object, fields) to values; however, objects also make functionality available through methods that can modify / report information about the underlying object. Not to mention, objects establish a "template" for creating entities that feels more formal than dictionaries. For instance, if I have two dictionaries that represent users (stored in the variables u1 and u2), without further context, I'd come to the conclusion that they are two dictionaries with identical key-value mapping; however, creating a User class makes it very clear that we are interacting with a "user" entity and rigorously defines what information and behaviors are supported by it.
This board emphasizes “free speech” and “no rules” (with exceptions for child sexual abuse material [CSAM] and some other illegal content). In
I also believe that, on occasion, under extreme circumstances, 4Chan will ban behavior or content that effectively cripples all other discussion on the site. I do not quite remember what it was, but there was gimmick on 4Chan that was being spammed by real users in every possible discussion board. It got to the point where nothing else could really be said, leading users to complain to mods and administrators and for that gimmick trend to be banned on 4Chan. It think that points to one of the follies of the idea of truly "free" speech online- in that there is speech that is perfectly legal, but can also, whether intentionally or not, shut out other speech in a variety of ways.
Climate change worsens pollinator decline, and pollinator decline weakens nature’s defense against climate change.
Reading this makes me wonder what steps can we take to mitigate the impacts on plants and pollinators as our climate patterns continue to shift with the increase of temperature? I just don't think realistically we can reverse climate change or stop it unless laws get put into place on a global scale, which is why I want to know maybe some ideas that can at least help mitigate it. What pollinators are most prone or most at risk to the impacts of climate change?
Hypothesis: How do chemicals such as pesticide use correlate to pollinator decline in addition to global warming and how does it contribute to plants reproducing? I believe it is absolutely deadly.In that all of these detrimental factors contribute synergistically making the damage to all pollinators significantly greater. Pollinators are very sensitive to temperature.And if it's even a few degrees off pollinators can die. Now that it is warmer all over the planet, it causes plans to bloom earlier. A lot of wild plants need a pollinator just to reproduce, which in turn speeds up the decline of both the plants and pollinators. The plants decline then causes less food for animals and humans raising 02 levels. Point blank pesticides kill pollinators ability to retain memory g p s location and where to find pollen.
As society adapts to generative AI, we are likely to refine norms around acceptable use of AI-generated text and improve detection techniques. But ultimately, we’ll have to learn to live with the fact that such tools will never be perfect.
This statement is very true, as AI advances so will techniques to detect AI but the tools will always be a step behind because of how fast AI is advancing.
Watermarking shifts the problem from detection to verification, but it introduces its own dependencies. It relies on cooperation from AI vendors and applies only to text generated with watermarking enabled.
The way AI is rapidly changing, who is to say that the own system that created an AI text will not hide the watermark from other detection programs, and from itself in order to assist whoever made the promt.
AI model assigns to a piece of text. If the model assigns an unusually high probability to the exact sequence of words, this can be a signal that the text was, in fact, generated by that model.
This is something that I would like to look more into, how are other factors measured?
One obvious approach is to use AI itself to detect AI-written text. The idea is straightforward. Start by collecting a large corpus, meaning collection of writing, of examples labeled as human-written or AI-generated, then train a model to distinguish between the two.
This is a logical approach to training AI systems to detect papers or anything that could have been written by AI. But can they detect if someone is changing the wording around?
Did the AI system that generated the text deliberately embed markers to make later detection easier?
This is a great question, one that i have wondered myself because AI is widely used around colleges. What "breadcrumbs" are left behind?
For example, people who themselves use AI writing tools heavily have been shown to accurately detect AI-written text. A panel of human evaluators can even outperform automated tools in a controlled setting
This statement alone is very interesting to me because in my personal opinion I believe that AI is either a great tool for learning but at the same time it can hinder our abilities to learn.
memorandum
Defined by the Webster dictionary as: 1. a written message in business or diplomacy. 2. a note or record made for future use. 3. a document recording the terms of a contract or other legal details.
In contrast, the markedness model emphasizes that speakers use CS as a tool to present a certain persona; they exploit participants’ sense of the indexicality of each code (see indexicals) and of the contrast between the social import of codes in a given context (Myers-Scotton 1993 inter alia). Some analysts, such as B. Rampton, C. Stroud, and J. Gafaranga, emphasize CS as exemplifying the speaker’s creative agency.
When code switching happens, the speaker typically has this creative agency
his cross-linguistic observation affords the plausible assumption that the syntax of code-switched constructions strives toward well-formedness, i.e., when the guest (embedded) constituents are mixed into the host (matrix) language, the syntax operates to optimize well-formedness. In other words, when the guest items are introduced to the host language, certain adjustments follow, naturally, since items (words, phrases) from one language with one set of well-formedness conditions move to a language with another set of well-formedness conditions.
In the 1990s, the use of grammatical theory to account for code-switching became the received methodology.
This entry focuses on research that deals with the structural design of code-switching, the knowledge and ability underlying bilinguals' use of two languages within a sentence. This ability known variously as ‘code-mixing’ (see Code-mixing), or ‘intra-senlential code-switching’
Code switching is also called code mixing and intrasenlential code switching
odeswitching emerged in the middle of the lastcentury
.
the most important and also the most difficult task in raising a child is helping him to find meaning in life
This is such an interesting quote, and I feel that it reveals something about the importance of fairy tales. Because so many parents feel pressure to bring their children up with good values, it makes sense that members of society would create stories that help lead the way. Looking back on every story we've read, there is always a moral or lesson and it helps the parents teach things to their children in an engaging way.
This section made me think about how much information is actually contained and used in a single social media post, including both the content and the metadata like likes, time, and information about the user posting. This can be connected to my own experience using apps like Instagram and TikTok because I usually only pay attention to the post itself, not all the extra data behind it. I also didn’t realize how that hidden information could be used to understand or influence what people see what content.
Media Literacy Education develops informed, reflective, and engaged participants essential for a democratic society.
This helped me understand why media literacy matters in real life. It connects to how people need to think carefully about what they see online so they can make informed decisions and not be easily influenced.
Media Literacy Education requires active inquiry and critical thinking about the messages we receive and create.
This is a strong and useful point because it clearly explains that media literacy is about thinking critically, not just consuming information. The source is reliable because it includes principles from NAMLE, which is a trusted organization.
The media tell us what to buy, what to eat and drink, what brands are cool, what to read, who or what to listen to, and who to vote for.
This article explains how powerful media is in shaping people’s decisions and opinions. It shows that media influences many parts of everyday life, often without people realizing it.
An effective way of heightening students' awareness maybe to present them with instruction that systematicallyaddresses diverse languages as rule-governed codes thathave functional value in different settings
Finding a way to engage students in learning the correct information is vital
However, we found that because of the diversestudent population at BMCC, we could identify studentsof other races and cultures who also used nonstandardvarieties of subject-verb agreement in their writing
The more diverse a group is, the more diverse the writing will be
Author Milton Baxter, a Black American, providedinstruction via contrastive analysis to the experimentalgroup, while two other English professors, both WhiteAmericans, provided traditional instruction to thecontrol group
Controlling the variables can affect the outcomes
Many students who are native speakers of Englishhave not, during the course of their education, encounteredliterature that discusses the different varieties of Englishspoken in America in general and the nonstandard varietyof English they speak in particular
Many people have not had to deal with different forms of the language
This disregardfor Standard English is sometimes evident when thesestudents complain that they don't want to sound"White."
Stereotypes can affect how people speak
They, in fact, think they are usingStandard English rules when they are not.
People do not know they are speaking "incorrectly" without guidance
When asked by a teacher why the verb takesan -5 ending in the sentence "He likes cake," many studentswill respond, "I don't know; it just sounds right." Theywill be unable to state explicitly that when the subject isthird person singular, the verb takes an -5 ending in thepresent tense
People subconsciously know why something might be correct but can't express it
This means a student would be able to switch codes fromEbonics to Standard English whenever the situationwarrants it
An impressive trait to be able to switch
A denialof the existence of such a code can be viewed as a denial ofthe culture that sustains it
If gone about incorrectly, someone can be accused of hate because they try to teach Standard English
When college-educated students use an inappropriate form of subject-verb agreement in the workplace, it is likely that employerswill form false assumptions about them and believe thatthese employees lack intelligenc
I've noted before that the "incorrect" language can make people think less of you
"They was waiting at the bus stop,"instead of "They were waiting at the bus stop."
The difference between "non-standard" and "standard" English
We understand that Standard English in America issimply a prestigious variety of English that may vary fromone region to another
I noted in my other article how dialect can affect language
Many of her nonstandard dialectfeatures are marked as incorrect, and, consequently, hergrade is lowered significantl
As I marked in the annotation above
The problem with her writing is that shewrites the way she speaks
Using slang in the classroom can affect writing in a negative way in the eyes of the teacher
Some of these studentsare able to switch codes, using Standard English whennecessary. Others are unable to do this effectively and, as aresult, suffer the negative academic and social consequencesof using nonstandard English in settings where StandardEnglish is required
Being able to code-switch is necessary in the classroom
Media education is the study of media, including ‘hands-on’ experiences and media production. Media literacy education is the educational field dedicated to teaching the skills associated with media literacy.
This is a useful and reliable source because it clearly explains the purpose of media literacy in a simple way. Since it comes from NAMLE, it is likely credible and focused on education rather than bias.
To become a successful student, responsible citizen, productive worker, or competent and conscientious consumer, individuals need to develop expertise with the increasingly sophisticated information and entertainment media that address us on a multi-sensory level, affecting the way we think, feel, and behave.
This source helped me understand why media literacy is important in real life, especially with social media. It connects to how people need to think critically about what they see online, which is something I can apply to my own media use.
Media literacy is the ability to encode and decode the symbols transmitted via media and synthesize, analyze and produce mediated messages.
This article explains that media literacy is not just about understanding media but also about analyzing, evaluating, and creating it. It shows how media literacy involves multiple skills that help people interact with different types of communication in everyday life.
I took a look at the “Programming paradigm” source from this bibliography section. This source helped me understand that programming isn’t just one way of writing code, but actually includes multiple “paradigms” that shape how problems are approached. What stood out to me is how coding languages like Python or Java can support more than one paradigm, which means there isn’t just one correct way to structure a program. This makes me think about how flexibility in programming reflects real world problem solving, where there is rarely just one way to solve an issue. The rest of the source basically explains different types of programming paradigms and how they classify and organize different programming languages.