Tag: teach

  • New Way to Teach Writing by Incorporating AI – Sovorel

    New Way to Teach Writing by Incorporating AI – Sovorel

    AI is here, and it is here to stay, which means that academia needs to incorporate it so that students learn about AI’s capability and are ready to use it properly. The most complained about issue in writing classes today is that students simply use AI to write their essays for them and, in the process, do not learn anything and use AI improperly. “The Anders 4 Phase AI Method of Writing Instruction,” is able to overcome these issues. This instructional method develops students’ writing skills while teaching AI literacy, which includes critical thinking. Different aspects of this method can also be applied to other courses/assignments. The Anders 4 Phase AI Method of Writing Instruction is a much-needed new way to develop writing in a way that better aligns with the new realities of how many people are already writing with AI.

    Key Components (the four phases):

    1. Foundational Writing Skills Development: instruction and assessment on key aspects of writing such as sentence structure, paragraph structure, transitional sentences, use of personal voice, researching, outlining, thesis statements, and any other needed writing components. Done through: multiple-choice, fill-in-the-blank, and short in-class writing.
    2. Understanding of Different Essay Types: instruction and assessment on key aspects of different essay types done through multiple-choice, fill-in-the-blank, and short in-class writing
    3. Prompt Engineering Development: instruction and assessment on prompt engineering using an advanced prompt formula, the ability to create effective prompts for AI to generate good essays that have proper formatting, student voice, and accurate information. Evaluated via multiple-choice, fill-in-the-blank tests, and in-class writing of prompts and additional drafting.
    4. Use of AI for Writing with Full Personal Accountability: assessment on specific essay creation done via student submission of essays developed through the use and assistance of AI. Additional in-class exams on key contents and periodic student presentations on created essays (to help ensure student accountability of knowledge integration).

    Key Benefits:

    • Develops students’ foundational knowledge of writing and ability to create multiple essay types
    • Eliminates issues with students inappropriately using AI to write essays without fully understanding writing components
    • Reduces instructors’ stress/anxiety in feeling the need to run AI detection tools (no longer needed)
    • Helps to directly develop students’ understanding of effective writing while simultaneously developing their critical thinking, AI literacy, and ethical AI use skills

    A much more detailed description of this method is available through the Sovorel Center for Teaching & Learning YouTube educational Channel:

    For an even more detailed informational article on The Anders 4 Phase AI Method of Writing Instruction, you can go here: https://brentaanders.medium.com/the-new-way-to-teach-writing-1e3b9a14ef64

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  • Can We Teach Talent? How Mindsets Can Foster Entrepreneurial Success – Faculty Focus

    Can We Teach Talent? How Mindsets Can Foster Entrepreneurial Success – Faculty Focus

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  • Can We Teach Talent? How Mindsets Can Foster Entrepreneurial Success – Faculty Focus

    Can We Teach Talent? How Mindsets Can Foster Entrepreneurial Success – Faculty Focus

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  • Florida Virtual School Partners with University of Florida and Concord Consortium to Launch ‘Artificial Intelligence in Math’ Online Certification for Middle, High School Students 

    Florida Virtual School Partners with University of Florida and Concord Consortium to Launch ‘Artificial Intelligence in Math’ Online Certification for Middle, High School Students 

    ORLANDO, Fla. — Florida Virtual School (FLVS) is partnering with the University of Florida (UF) and the Concord Consortium to introduce a groundbreaking year-long “Artificial Intelligence (AI) in Math” supplemental certification for FLVS middle and high school students enrolled in the school’s Flex option. FLVS instructors who teach Algebra 1 will lead this innovative program, teaching the online courses while also supplementing students’ learning with activities that build students’ understanding of math and AI concepts. FLVS students enrolled in Algebra 1 who elect to earn the certification will begin April 7. 

    The certification will introduce students to the foundational principles of AI that intersect with core math topics while offering insights into real-world applications, ethical considerations, and career opportunities in AI-related fields. By merging 21st-century technology with education, the program aims to boost students’ math skills, cultivate positive attitudes toward mathematics, and expose them to the rapidly evolving AI landscape.

    “As a leader in online education for more than 27 years, Florida Virtual School is committed to being at the forefront of educational innovation,” said Dr. Louis Algaze, president and CEO of Florida Virtual School. “By partnering with the University of Florida and the Concord Consortium, we are equipping our students with essential math skills and the knowledge to navigate and succeed in an AI-enhanced world.”

    The certification also includes a collaborative feedback loop between FLVS teachers and UF and Concord Consortium researchers. Teachers will provide critical insights into the online course structure and student outcomes, helping to refine and improve the certification’s effectiveness for future online learners.

    “AI is revolutionizing industries worldwide, creating new opportunities,” said Jie Chao, project director at the Concord Consortium. “Our partnership with FLVS allows us to offer robust AI learning opportunities to students with limited access to such resources, bridging the educational gaps and preparing young people for an AI-powered future.”

    FLVS teachers will also complete 40 hours of online professional development as part of the program. The training will include learning about specialized learning technologies designed to help visualize abstract math concepts and create interactive AI model explorations to ensure students engage with the AI development process in meaningful and dynamic ways.

    FLVS Flex students who are either currently enrolled or are interested in taking Algebra 1 can now sign up for the “AI in Math” certification by filling out this survey. Students who complete the program as part of their FLVS math class will receive enrichment credit and the AI Literacy certificate issued by UF and the Concord Consortium.  

    About Florida Virtual School (FLVS) 

    At Florida Virtual School (FLVS), the student is at the center of every decision we make. For 27 years, our certified online teachers have worked one-on-one with students to understand their needs and ensure their success – with FLVS students completing 8.1 million semester courses since the school’s inception. As a fully accredited statewide public school district, Florida students in grades Kindergarten through 12 can enroll tuition-free in full-time and part-time online education options. With more than 200 effective and comprehensive courses, and over 80 fun and exciting clubs, FLVS provides families with a safe, reliable, and flexible education in a supportive environment. As a leading online education provider, FLVS also offers comprehensive digital learning solutions to school districts, from online courses that result in high student performance outcomes, to easy-to-use online platforms, staff training, and support. To learn more, visit  our website.

    eSchool News Staff
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  • What stories can teach us about the world

    What stories can teach us about the world

    In a time of widespread misinformation, disinformation, fake news and outright lies throughout the world, many people are wondering what the truth really is and how to find it.

    In Africa, it is embedded in the power of story.

    “The oral tradition has always been a hallmark of West African culture for generations long before colonization, and so storytellers have been the truth tellers,” said Dr. Geremie Sawadogo, a World Bank talent manager and storyteller, who, as a child growing up in Burkina Faso, would gather with his family to listen to story hour on national radio every Tuesday evening.

    David Thuku, an executive coach and storyteller in Nairobi, Kenya, agreed. “Stories are a very structured system of managing life and giving knowledge about such things as governance, values, laws, social sciences and medicine. Medicine men, for example, would tell people which plants to use for different illnesses,” Thuku said.

    “They also taught us morals and our code of acceptable behaviours,” Sawadago added. For many, they are a form of timeless, universal truth.

    African stories can come in many different forms: two- to three-hour speeches, long monologues, oral renditions, poems, sayings, proverbs, fables, folklore tales, visual language, songs and even dance.

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  • How AI is Changing the Way I Teach Business Law

    How AI is Changing the Way I Teach Business Law

    Reading Time: 5 minutes

    AI has taken the world by storm, and the education field is no exception. After over two decades teaching at The Paul Merage School of Business at the University of California, Irvine, I have seen lots of changes related to curriculum, teaching resources and students. However, I’ve seen nothing quite like the wave of AI tools popping up in classrooms. It’s exciting, a little daunting and definitely something we all need to talk about.

    So, here’s the deal: I’m not an AI expert. But I have spent a lot of time experimenting with AI, learning from my mistakes and figuring out what works and what doesn’t. I’d like to share some of these experiences with you.

    AI in education: What’s the big deal?

    AI is already here, whether we’re ready for it or not. According to Cengage research, use of AI has nearly doubled among instructors, from 24% in 2023, to 45% in 2024. Many of us are using AI to create lectures, craft assignments and even grade assessments. The challenge is not whether we adopt AI. Rather, it’s doing so in a way that enhances our students’ learning outcomes, while maintaining academic integrity in our courses.

    In my online undergraduate business law course, I have always required my students to take written assessments, where they analyze a set of facts to reach a legal conclusion. Not only am I trying to teach them the principles of law, but I want them to improve their writing skills.

    A shift in focus

    A few years ago, I noticed a subtle increase in the overall scores for these written assessments. I have taught this course for over 20 years, so I knew what the historical scores were. Looking into it further, I started hearing about how some students were using ChatGPT in their courses. This got me wondering whether some of my students had already been using it to take my written assessments. Quick answer: yes, they were. This now presented a problem: what do I do about it? In an online course, how can I prohibit the use of AI tools on a written assessment while effectively enforcing that ban?  I shifted my focus from policing and enforcing a ban on the use of AI in my courses to teaching my students how to use AI responsibly.

    Teaching students to use AI responsibly

    In my course, I developed assignments called “Written ApprAIsals.” These three-part writing assignments combine traditional learning with AI-assisted refinement. These teach students how to use AI responsibly while improving their critical thinking and writing skills. Here’s how it works:

    Step 1: Write a first draft without AI

    Students are given a law and related news article about a current legal issue. They must write a memo which analyzes the constitutionality of this law. I also provide them with guidance on utilizing the standard legal memo format, known as IRAC (Issue, Rule, Analysis, Conclusion), to help organize their thoughts and writing.

    Students are permitted to use whatever materials they have, including eBooks, my lecture videos and outlines, Cengage’s online learning platform, MindTap and its resources, and any other information they ethically obtain online. But, they’re not permitted to use AI.

    The purpose of this first draft is for them to demonstrate the foundational knowledge they should have already learned. Students must attest to completing this first draft without using AI, and it’s worth 30% of the total “Written ApprAIsal” grade.

    Step 3: Integrate AI to resolve deficiencies

    Once I have given them feedback on their first drafts, students are required to use AI to improve their first draft. Students must submit the URL to their AI queries and responses (“AI log”). Or less ideally, they can submit a PDF or screenshot of them. I can assess the effort they put in, evaluate their queries, and provide guidance on how to more effectively use AI. This part is worth 40% of the total “Written ApprAIsal” grade.

    Step 3: Use AI to help write a final draft

    Using what they’ve obtained from AI, along with my feedback, students must transform their first draft into an improved final draft. Students are permitted to continue using AI as well.  They must turn on track changes in their document so I can see what changes they’ve made to the first draft.

    Why has this approach worked in my course?

    1. It makes students aware of my familiarity with AI and how it’s used. Students now know I am on the lookout for improper usage of AI in our course.
    2. It encourages their acquisition of foundational knowledge. Students quickly figure out that they must know the basic legal principles. Without them, they will have no idea if AI is providing them with inaccurate information, which can happen sometimes, especially when it comes to legal cases
    3. This approach promotes academic integrity. Students recognize their first drafts must reflect their genuine understanding. There is no benefit to using AI for the first draft. Because the remaining parts are based on their use of AI to improve the first draft, there will not be much room for improvement if the first draft is too good. And because students must submit their AI logs, I can easily ascertain if they actually did the work.
    4. Students build necessary skills for their future careers. They can improve their writing and analysis skills in a low stakes’ way, while receiving useful feedback.
    5. It helps me focus my efforts on helping them understand the law, rather than having to enforce a ban on the use of AI.

    Issues related to this approach

    It takes a lot of effort to find the right law and related news article to use. Not only does the law have to be current, but it also must be interesting and relevant to the students. Legal issues must be presented in a way which are factually neutral to avoid bias. And, the news articles must be factual and not cluttered with distracting commentary or opinions.

    Additionally, rapid feedback is required. With up to 150 students in my course, I only have a little more than 24 hours to turn around written feedback and comments on their first drafts and AI logs. Frankly, it can be overwhelming.

    Tips on integrating AI into your course

    I have learned a few things along the way about integrating AI into my courses.

    Establish clear rules: Be upfront and clear about when, and how, AI can be used. Stick to those rules and enforce them.

    Consider accessibility: Not every student has easy or affordable access to AI tools. Make sure you have alternatives available for these students.

    Teach foundational knowledge first: Students need to know the core concepts so they can critically evaluate any AI-generated content.

    Require transparency: Students must show how they used AI. It is a great way to keep them honest.

    Be flexible and open to experimentation, most importantly: Mistakes are inevitable. There will be times where something you thought would work just doesn’t. That’s ok. Adjust and keep innovating.

    Final Thoughts

    AI is here to stay, and that’s not necessarily a bad thing. AI is a tool that can help students learn. But, it’s up to us to show our students how to use AI responsibly. Whether it’s helping them improve their writing skills, gain foundational knowledge or develop critical thinking skills, AI has so much potential in our courses. Let’s embrace it and figure out how to make it work for each of us.

    Got ideas or experiences with AI in your courses? Let’s connect. I would love to hear how you are using it!

    Machiavelli (Max) Chao is a full-time Senior Continuing Lecturer at the Paul Merage School of Business at the University of California, Irvine and Cengage Faculty Partner. 

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  • What Job Design Can Teach Us About Course Design – Faculty Focus

    What Job Design Can Teach Us About Course Design – Faculty Focus

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  • Lawmakers Advance Bill Requiring SD Schools to Teach Native American History, Culture – The 74

    Lawmakers Advance Bill Requiring SD Schools to Teach Native American History, Culture – The 74


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    South Dakota public schools would be required to teach a specific set of Native American historical and cultural lessons if a bill unanimously endorsed by a legislative committee Tuesday in Pierre becomes law.

    The bill would mandate the teaching of the Oceti Sakowin Essential Understandings. The phrase “Oceti Sakowin” refers to the Lakota, Dakota and Nakota people. The understandings are a set of standards and lessons adopted seven years ago by the South Dakota Board of Education Standards with input from tribal leaders, educators and elders.

    Use of the understandings by public schools is optional. A survey conducted by the state Department of Education indicated use by 62% of teachers, but the survey was voluntary and hundreds of teachers did not respond.

    Republican state Sen. Tamara Grove, who lives on the Lower Brule Reservation, proposed the bill and asked legislators to follow the lead of Sisseton Wahpeton Oyate Chairman J. Garret Renville. He has publicly called for a “reset” of state-tribal relations since the departure of former Gov. Kristi Noem, who was barred by tribal leaders from entering tribal land in the state.

    “What I’m asking you to do today,” Grove said, “is to lean into the reset.”

    Joe Graves, the state secretary of education and a Noem appointee, testified against the bill. He said portions of the understandings are already incorporated into the state’s social studies standards. He added that the state only mandates four curricular areas: math, science, social studies and English-language arts/reading. He said further mandates would “tighten up the school days, leaving schools with much less instructional flexibility.”

    Members of the Senate Education Committee sided with Grove and other supporters, voting 7-0 to send the bill to the full Senate.

    The proposal is one of several education mandates that lawmakers have considered this legislative session. The state House rejected a bill this week that would have required posting and teaching the Ten Commandments in schools, and also rejected a bill that would have required schools to post the state motto, “Under God the People Rule.”

    South Dakota Searchlight is part of States Newsroom, a nonprofit news network supported by grants and a coalition of donors as a 501c(3) public charity. South Dakota Searchlight maintains editorial independence. Contact Editor Seth Tupper for questions: info@southdakotasearchlight.com.


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  • AI frees us to teach citation styles differently (opinion)

    AI frees us to teach citation styles differently (opinion)

    Receiving 15 student inquiries about citations in two weeks drives me to despair.

    The technicalities of citation style have emerged for students as a prime concern: Students require reassurance and instruction on where to put a period or a quotation mark, how to cite a quote within an interview within a book, or the amount of margin space appropriate for a heading.

    I do not blame them for their concern. I do blame the way we teach style guides, whether MLA or APA or Turabian or otherwise: as a collection of at-times maddeningly opaque rules that, to students, seem solely designed to satisfy the whims of the academy.

    But we don’t have to continue in this manner. AI can provide not only a way out, but also an opportunity to reconceptualize the way we teach citation style more generally.

    Defined by the Modern Language Association as “a set of standards for writing and documentation used by writers to find and evaluate information,” style guides promise consistency and structure, a coherent orientation to research. Yet as a general rule, students experience style as a practice of bewildering inconsistency.

    Consider in-text citations in MLA and American Psychological Association style. MLA citations follow an author-page format; APA follows author-date. Reference pages, headers and even title pages require different formatting between style systems. And even within a single style guide, new editions introduce iterative changes over time.

    For students switching citation styles between courses or even trying to remain within one style system, keeping track of the mechanics can prove frustrating. In the introduction to the APA seventh edition in 2019, students were encouraged to contact their institution or professor about which version of the style guide to use, with dual use of the sixth and seventh editions in place from 2019 through 2021. Students using RefWorks to create a bibliography can currently choose from among 15 bewildering versions of APA style and 10 for MLA—almost assuredly without fully understanding the iterative differences between each.

    Little wonder that the Purdue Online Writing Lab—that bastion of style sanity both for the beleaguered professoriate and overwhelmed students—remains one of the most-used educational sites in the world, with its citation style pages receiving the most visits. And yet in spite of this resource and a slew of others, including websites like Citation Machine that promise easy style formatting, students continue to struggle.

    In this milieu, style guides can begin to seem a bit silly. Inconsequential, even: an exercise in mechanics and parentheticals, or a game in which scholarship, as Aimée Morrison writes in Composition Studies, becomes perceived as nothing more valuable than “an error-free response to a prompt.”

    This is dangerous thinking.

    Academic integrity matters. Entering the scholarly conversation and attributing work properly matters. Style serves as more than a mechanical exercise. At its best, style facilitates a way of thinking and being in scholarship, supporting scholars to orient themselves within the broader academy.

    In a long-ago literature class that I taught at Ohio University, one of my students asked a question that has remained with me ever since: “What even is the MLA?”

    Having paid my substantive dues, both literal and figurative, to that organization for the bulk of my professional career, it never occurred to me that students might not know. But the majority of them were astonished to realize the MLA and the APA were actual organizations made of real human beings, with missions and philosophies informing the style rules that governed their essays.

    This revelation transformed the students’ relationship to citation style. They stopped focusing on the mechanical trivia and instead peppered me with questions, including one that opened up a week’s worth of class discussions: Why does APA focus on year of research while MLA focuses on author?

    That wasn’t the only inquiry. They wanted to know why Chicago used so many footnotes, how citation styles impacted readability, why MLA doesn’t require a title page and what these styles expressed about expectations in their field.

    In short: Everyone makes us cite our work, but on what principles do these expectations operate?

    The resulting discussions established an unexpected understanding among my students of how citation style should function and how all those seemingly random mechanics of various style systems actually emerge from deep, intentional thinking about research and the scholarly record. The practice of viewing citation style as a matter of scholarly identity and orientation, rather than as a series of mythological labors in the name of Real Scholarship, made a critical difference to their approach.

    I was pleased to see that my undergraduate students emerged from that term with far better papers. They cited their research well and with enthusiasm; they evaluated and integrated sources with mastery; their postpaper reflections evidenced a scholarly joy that I see all too rarely in the classroom. I had the sense that, for the first time, many of them understood why they were doing what they were doing.

    Yes, I still had to correct the periods in their parentheticals and the lack of italics in bibliographies at the end of the term. But that experience led me to realize that mechanics aren’t the critical aspects of style that students need to understand—and that AI can serve as a great remedy for these errors.

    If citation style is about more than arbitrary mechanics, if it is about more than jumping through grammatical and technical hoops to prove mastery, then allowing AI to pinch-hit frees students to shift their focus from granular details to the intricacies of evaluating sources, thinking through if and how to cite a work, and embedding their own research and voice in a broader scholarly tradition.

    Indeed, students already rely on websites and applications to mechanically format their bibliographic citations. An AI editor can surely serve as a similar supplement to adjust minor mechanics where needed: a period here, a missing parenthesis there, the addition or deletion of italics, indentations.

    This neither releases students from the burden of expertise nor opens a Pandora’s box of AI use. Gating AI use in this way emphasizes the value of the writing and revising process, as well as offering students the opportunity to engage AI as thoughtful scholars. As a benefit, students learn in a low-stakes way to engage AI thoughtfully, a critical skill in the workforce.

    Most importantly, students and professors with this safety net can breathe a little easier. Freed from the panic of formatting citations, students can focus on the issues that matter the most and polish a final project to a high standard. Revision transforms, too, from “a checklist of corrections that must be taken in” to useful, in-depth prompts that promote writing craft and deep inquiry. And faculty can offer high-quality feedback on content, tone and the scholarly approach rather than spend hours correcting the fine details of a bibliography.

    At their best, style guides serve as a reflection of scholarly value. To write in APA style, MLA or Chicago, or even the dreaded “house style” used by some journals or publications, makes a statement about what a discipline or a publication prioritizes: what they deem worthy of inclusion or neglect, what constitutes readability and what matters to the academic record.

    To focus only on minutiae runs the risk of dismissing those rich and complex concepts. Better by far to invite students into this academic conversation, elaborating on the distinctions and philosophies of practice inherent in the way we cite literature, than to represent citation style as an arbitrary practice of rote and meaningless work. AI can expedite this process and facilitate this work in a way that is of great value both to students and to faculty.

    So please, bookmark the Purdue Owl website. Dog-ear the relevant pages in the necessary handbook or style guide of choice. Feel free to inculcate a style pet peeve, or to long for the earlier style guide edition now lost to time. But if institutional approach permits, take advantage of the relative freedom that AI can offer to break away from the granular focus on details to a broader and more integrated view of how and why citation style matters—even, and especially, when we can’t remember where the period goes.

    Brandy Bagar-Fraley is program chair for the master of science in advanced professional studies program and doctoral lead faculty at Franklin University, where she oversees doctoral writing courses. She serves as a member of the Modern Language Association’s Committee on Contingent Labor in the Profession, and her current research seeks to integrate student perceptions of generative AI into AI-focused pedagogy and departmental approaches.

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