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1、Closing the Gender Gap in GenAI SkillsStrategies for empowering more women to learn and harness Generative AIClosing the Gender Gap in GenAI Skills2010203Table of contents01Introduction 402Closing the GenAI gender gap:Five proven strategies 7Expand access to GenAI skills learning 7Increase female re

2、presentation in GenAI learning to drive engagement 9Boost womens confidence through targeted learning support 11Provide clear AI policies and flexible learning to increase womens participation 13Make GenAI relevant to womens careers and everyday lives 15Turning insights into measurable outcomes 1703

3、Endnotes 193010203IntroductionClosing the Gender Gap in GenAI Skills4010203As AI adoption accelerates across institutions and workplaces,demand for GenAI learning has surged.In 2024,a learner enrolled in a GenAI Course on Coursera every 10 seconds,resulting in three million new enrollments for the y

4、ear.1Despite this rapid progress,GenAI learning remains inequitable.Women,who traditionally represent half of all learners on Coursera,enroll in GenAI courses at only half the rate of menmaking up just 32%of enrollments.Without deliberate action,this disparity risks reinforcing existing inequities i

5、n AIs development and application,further exacerbating imbalances in the talent market.This gender gap mirrors the STEM participation rates we see globally,with the World Economic Forum reporting in 2023 that women accounted for just 29%of all science,technology,engineering,and math(STEM)workers.And

6、 while more women are increasingly pursuing technical roles,2 they are concentrated in entry-level jobs and less likely to hold leadership positions.3 IntroductionThe focus of this reportThis playbook focuses on learning in Generative AI(GenAI).While some trends in this report overlap with broader A

7、I findings,our focus remains on how women engage with GenAI learning opportunities on Coursera and how organizations can empower them to close the gender gap.Why focus on GenAI learning?Unlike traditional AI skills,which often require deep technical expertise,GenAI emphasizes creativity,problem-solv

8、ing,and practical applicationmaking it more accessible to diverse learners.Courseras learner data and platform experiments highlight five key barriers contributing to this gap:1.Stereotypes discourage womens participation in GenAI learning.From an early age,cultural messaging shapes perceptions of w

9、ho“belongs”in technology fields.4 Girls are less likely to be encouraged toward STEM subjects,5 and this bias continues into higher education and careers,where women remain underrepresented in technology fields.Without targeted interventions to challenge these stereotypessuch as inclusive curriculum

10、 design and diverse representation in GenAI educationthese biases continue to shape learning behaviors and career trajectories.2.Lack of female role models limits engagement and retention.Representation matters.When women see instructors,mentors,and professionals who share their background and exper

11、iences,they are more likely to engage and persist in learning.Research shows that young women are more likely to pursue STEM degrees when they attend high schools with a higher proportion of female math and science teachers.6The same applies to GenAIon Coursera,STEM courses with at least one female

12、instructor see significantly higher female enrollment than male-led courses.7 Without visible role models,women may disengage early or avoid learning GenAI altogether.Countries with the smallest GenAI gender gapBased on all-time enrollments in GenAI courses on Coursera10050UzbekistanEcuadorCzech Rep

13、ublicColombiaRomania50.349.752.347.755.144.958.241.860.939.1%female enrollments%male enrollmentsClosing the Gender Gap in GenAI Skills50102033.Confidence gaps reduce persistence in GenAI courses.Self-efficacythe belief in ones ability to succeedplays a crucial role in learning outcomes.Women often h

14、esitate to engage in GenAI courses due to a lack of confidence,even when they possess the necessary skills.On Coursera,women are six times more likely to enroll in beginner-level GenAI courses than intermediate ones,indicating a preference for structured,accessible entry points.Interventions that pr

15、ovide personalized learning support,clear milestones,and mentorship opportunities have been shown to improve persistence and completion rates among female learners.4.Limited time and unclear guidelines hinder skill adoption.Many women cite“lack of time”as their top reason for discontinuing STEM cour

16、ses,8 reflecting the reality of balancing caregiving and work responsibilities.Additionally,uncertainty around how AI applies to their careers can lead to hesitation.The absence of clear learning pathways and employer AI policies only exacerbates the issue.On Coursera,flexible learning models and AI

17、-powered coaching have helped bridge these gaps.5.GenAIs perceived lack of relevance affects engagement.Only 36%of women believe GenAI can advance their careers,compared to 45%of mena perception gap that discourages upskilling,according to a report from Cognizant,a leading IT consulting firm.9 Women

18、 are more likely to engage when GenAI is framed through practical applications in healthcare,education,or creative industries.Real-world case studies and interdisciplinary GenAI courses have proven effective in increasing participation and completion rates.Countries with the largest GenAI gender gap

19、GenAI gender gap in Courseras top 5 countries by learnersBased on all-time enrollments in GenAI courses on CourseraBased on all-time enrollments in GenAI courses on CourseraDr.Alexandra Urban Learning Science Research Lead10050PakistanEgyptIsraelUnited Arab EmiratesJapan%female enrollments%male enro

20、llments84.115.977.822.276.623.476.223.874.925.110050United StatesCanadaMexicoIndiaBrazil%female enrollments%male enrollments63.436.664.235.867.532.570.429.673.426.6When women arent engaged in applying and designing GenAI modelslike ChatGPTexisting social biases can become hard-coded into AI systems

21、and amplified at scale.A recent Berkeley Haas Center for Equity,Gender and Leadership study of 133 AI systems found that 44%exhibited gender bias,and 25%showed both gender and racial bias.10 Without the perspectives of women developers,data scientists,and engineers,AI tools risk reproducing harmful

22、stereotypes.Coursera is committed to data-driven interventionsincluding self-efficacy boosts,real-world value framing,and AI-powered personalized coachingto mitigate these barriers to entry.These approaches have led to measurable increases in female engagement,persistence,and completion rates in Gen

23、AI learning.This playbook provides actionable strategies for educators,businesses,and governments to implement these insights and foster greater inclusivity in their GenAI initiatives.By designing more equitable learning environments,we can ensure GenAI education is not only accessible to all but al

24、so shaped by diverse perspectives.6010203Closing the GenAI gender gap:Five proven strategiesClosing the Gender Gap in GenAI Skills7010203Closing the GenAI gender gap:Five proven strategiesBridging the gender gap in GenAI learning requires targeted,data-backed solutions that remove barriers and drive

25、 engagement.Based on Courseras research and learner insights,this section outlines five key areas for business leaders,educators,and governments to create more equitable,inclusive learning environments where women can upskill,persist,and thrive in GenAI fields.Strategy#1Expand access to GenAI skills

26、 learningWomen remain significantly underrepresented in AI,comprising only 29%of AI-skilled workers,according to a 2024 Randstads AI and equity report.11 This gap is not due to lack of interest or ability,but rather systemic barriers that limit access to AI learning opportunities.Cultural stereotype

27、s,societal biases,and restrictive policies have historically discouraged women from pursuing technical fields.12 Even when AI upskilling is available,women are often excluded from these opportunities or lack the support to see how AI skills can advance their careers.When access to AI learning is pri

28、oritized,we see tangible progress.The same Randstad report finds that in India,73%of women report receiving employer-sponsored AI upskilling opportunitiesoutpacing men(67%).In contrast,women in the United States and Canada report much lower access rates at just 27%and 24%,respectively,emphasizing th

29、e role that proactive interventions can play in bridging the gap.13Many women begin their GenAI learning journey with introductory-level courses that emphasize accessibility,practical applications,and low barriers to entry.By increasing access to GenAI educationthrough employer sponsorships,governme

30、nt-backed initiatives,and inclusive course designwe can unlock opportunities for women to engage in GenAI and contribute to its development.Recommended actions Educators:Develop entry-level AI courses like Googles AI Essentials that remove unnecessary prerequisites and explicitly highlight how AI sk

31、ills apply to a variety of career paths.Feature diverse instructors and case studies that reflect womens experiences.For example,Vanderbilt Universitys Prompt Engineering for ChatGPT course demonstrates how GenAI can support decision-making and productivity in 700K enrollments in GenAI content from

32、womenHow women are engaging with GenAI skills on CourseraTop GenAI coursesGoogle AI EssentialsIntroduction to Generative AIGenerative AI for EveryonePrompt Engineering for ChatGPTGenerative AI:Prompt Engineering BasicsClosing the Gender Gap in GenAI Skills8010203everyday tasks,making it approachable

33、 for learners from non-technical backgrounds.Businesses:Establish AI upskilling programs that prioritize gender inclusion.Offer opportunities to highlight diverse engineers,foster supportive communities,and promote female role models in technology.Consider providing sponsorships,mentorship,and finan

34、cial incentives to encourage women employees AI skill development.Additionally,developing Employee Resource Groups(ERGs)can foster supportive communities that focus on practical,career-relevant AI applications.Governments:Fund gender-equity initiatives in AI education,such as subsidies for AI certif

35、ications and national AI literacy campaigns.Support early interventions through programs like the UKs Gender Balance in Computing initiative,which has increased girls participation in computing by training teachers and adjusting curricula to address gender biases.Additionally,policies requiring dive

36、rse representation in AI research and development should be created to ensure equitable participation.Closing the Gender Gap in GenAI Skills9010203Strategy#2Increase female representation in GenAI content to drive engagementLack of representation is a major barrier to womens participation in GenAI l

37、earning.Insights on Coursera show that when female instructors,mentors,and leaders are visibly engaged in GenAI education,more women enroll,persist,and complete GenAI courses.Yet,across industries,women remain underrepresented in AI leadership:only 8%of Chief Technology Officers(CTOs)in the U.S.are

38、women,14 and just 33%of organizations include women in AI strategy decision-making.15Among Courseras top 100 STEM courses,those with at least one female instructor see an average of 30%female enrollment,compared to just 23%in courses taught solely by men.16 For example,Google AI Essentials,which fea

39、tures a female instructor on-camera from the beginning,has 60,000 more women enrolled than it would if this course had no women on camera.When female instructors are visible and actively leading discussions,engagement improves significantly.Representation matters from an early age.Girls who attend h

40、igh schools with a higher proportion of female STEM teachers are more likely to pursue STEM degrees in college.17 This principle extends into GenAI learningwhen women see role models in instructional and leadership positions,they are more likely to engage,persist,and pursue careers in the field.Expa

41、nding womens leadership in GenAI learning demands targeted initiatives,such as structured support systems,mentorship,and visibility.Programs like Technovation,a global AI and app development mentorship initiative,provide female mentors with upskilling opportunities so they can guide and inspire new

42、learners.This cyclical approach ensures that more women see viable career paths in AI and continue advancing within the field.By prioritizing female-led instruction,mentorship programs,and course design,we can break the cycle of underrepresentation and create a more inclusive GenAI learning ecosyste

43、m.Average female enrollment increases from 23%to 30%when STEM courses feature at least one female instructorDr.Barbara Oakley on making GenAI approachable for womenDr.Barbara Oakley,Professor of Engineering at Oakland University and Courseras inaugural“Innovation Instructor,”highlights the unique ch

44、allenges women face when engaging with GenAI.“Research shows that women often excel in communication and interpersonal skills,”she explains,“which may contribute to hesitancy toward fields perceived as less people-oriented,like GenAI and STEM.”To counteract this hesitancy,Oakley advocates for the po

45、wer of relatable female role models and real-world applications in GenAI learning.“Connecting AI concepts to real-world communication can resonate strongly with many learners,including women,”she notes.Courses such as Vanderbilt Instructor SpotlightClosing the Gender Gap in GenAI Skills10010203Cours

46、es that apply GenAI to everyday contexts Recommended actions Educators:Proactively recruit female instructors and teaching assistants for GenAI courses,ensuring that learners see diverse role models in instructional roles.Incorporate guest speakers and case studies that reflect the experiences of wo

47、men learners.For example,the Women in Engineering ProActive Network(WEPAN)has successfully implemented financial grants and research assistantships to encourage womens participation in advanced STEM studies,a model that could be adapted for GenAI programs.Businesses:Showcase female AI leaders throug

48、h company initiatives like Googles Women Techmakers,which highlights diverse career paths and fosters supportive communities.Establish mentorship and sponsorship programs to connect women employees with those already working in AI and guide them into leadership roles.Offer programs that feature care

49、er workshops or executive panels showcasing how women are driving innovation in GenAI.Governments:Set diversity targets for government-funded GenAI projects to ensure gender parity and representation,inspired by the Government of Canadas 50-30 Challenge,which encourages organizations to achieve gend

50、er parity in leadership positions.Promote policies requiring womens inclusion in AI strategy development and offer financial incentives or subsidies for organizations that prioritize diversity in AI-related training programs.Accelerate Your Learning with ChatGPTJob Search with GenAIGenerative AI for

51、 Kids,Parents,and TeachersLeveraging Virtual Assistants for Personal ProductivityGuided ProjectUniversitys Generative AI for Kids,Parents,and Teachers and Deep Teaching Solutions Accelerate Your Learning with ChatGPTco-taught by Oakley and Dr.Jules Whiteillustrate how GenAI can be introduced through

52、 approachable,everyday contexts rather than purely technical instruction.Beyond boosting enrollment,Oakley stresses that self-directed curiosity must be nurtured rather than forced.“We have to be careful not to push too hard in the name of equity for women.We also need to respect womens choices,”she

53、 advises,emphasizing the importance of inclusive course design that removes barriers while allowing women to engage at their own pace.Dr.Barbara Oakley Professor of EngineeringChatGPT Meal Planning:Effortlessly Plan and Cook with AIClosing the Gender Gap in GenAI Skills11010203Strategy#3Boost womens

54、 confidence through targeted learning support Confidence plays a crucial role in learning,yet many women hesitate to engage with GenAI courses due to a lack of self-efficacythe belief in their ability to succeed.Women are significantly more likely to enroll in beginner-level GenAI courses than inter

55、mediate ones featured in GenAI Academy,signaling a need for accessible,structured pathways that build foundational skills and confidence.This hesitation isnt about skill gaps aloneit stems from societal messaging,limited access to mentors,and a lack of personalized learning support.18 Without interv

56、entions designed to reinforce self-efficacy,women are more likely to disengage early or opt out of GenAI learning altogether.At Coursera,weve tested confidence-building interventions that have led to measurable improvements in persistence:How Courseras confidence-building interventions support femal

57、e learners Expanding beginner-friendly GenAI course offerings:Women are six times more likely to enroll in beginner-level courses than intermediate ones,reinforcing the need for prerequisite-free,structured entry points into AI learning.Embedding AI-driven coaching:Coursera Coach,an AI-powered learn

58、ing assistant,is used 11.1%more by women than men,demonstrating the value of tailored support and structured guidance in helping women persist in GenAI courses.19 Offering guided feedback and AI-powered support:Post-Assessment Help on Coursera provides personalized recommendations,ensuring that lear

59、ners receive clear,actionable next steps after completing assignments.Women engage with this feature at higher rates,using it to reinforce their learning and update any misunderstandings.20 Self-efficacy boosts within the learning experience:Including self-efficacy boosting in-course messages led to

60、 a 50%increase in course completion rates among women aged 18-24 in STEM courses on Coursera.21Building confidence in GenAI learning requires intentional support systems,mentorship,and recognition of progress.By integrating these elements into course design,organizations can create environments wher

61、e women feel encouraged to develop their skills,persist in learning,and thrive in AI careers.Self-efficacy boosting messages in STEM courses led to a50%increasein course completion rates for the youngest womenClosing the Gender Gap in GenAI Skills12010203 Recommended actions Educators:Develop AI cou

62、rses with clear learning pathways and structured support to ensure learners can progress confidently.Incorporate tools like Coursera Coach,which enables self-paced,personalized guidance and supports women balancing multiple responsibilities.For example,clear actionable feedback after a project helps

63、 learners reinforce their understanding and improve persistence.Businesses:Create structured AI training programs with clear skill-building milestones,and recognize womens achievements in AI learning through company-wide initiatives.When launching internal GenAI learning programs,set clear,measurabl

64、e goals to track engagement and outcomes effectively.At the launch of Generative AI for Everyone collection of GenAI Academy in 2024,leadership communicated a clear goal:Each Courserian would enroll in one GenAI course of their choosing along with our CEOs foundational course on navigating GenAI by

65、the end of Q1 of 2024.To drive adoption,Coursera used targeted nudges from leadership,Slack announcements,and playful entry points like ChatGPT-generated jokes to build excitement and participation.Metrics such as enrollments,completions,and total learning hours were tracked to refine the programs e

66、ffectiveness and inform future iterations.Governments:Fund AI education initiatives that include structured self-efficacy interventions,such as mentorship grants and career development programs targeting women in GenAI.For example,Azerbaijans 4IR Academy has successfully upskilled 10,000 citizens in

67、 AI and other key technologies,achieving 51%female participation.Through cohort-based learning,mobile accessibility,and a focus on inclusivity,the program has demonstrated how targeted interventions can empower diverse populations to build confidence and expertise in AI skills.Meet growing demand fo

68、r GenAI with Courseras GenAI AcademyEquip your workforce with mission-critical GenAI skills using Courseras GenAI Academy,a curated learning platform designed to drive productivity,mitigate risks,and foster innovation.Featuring expert courses,hands-on practice,and trusted content,GenAI Academy empow

69、ers organizations to confidently adopt and integrate GenAI technology.Why GenAI Academy?Develop high-impact GenAI skills with expert-led courses and applied practice.Learn how to use GenAI ethically and responsibly to streamline operations.Provide a safe environment for your team to test and refine

70、new GenAI skills.Learn moreClosing the Gender Gap in GenAI Skills13010203Strategy#4Provide clear AI policies and flexible learning to increase womens participation For many women,unclear policies,lack of structured support,and time constraints create significant barriers to engaging with GenAI learn

71、ing.According to a recent report from IBM,59%of women report waiting for clear AI policies from their employers before adopting AI tools,reinforcing how institutional direction can either accelerate or stall participation.22Without transparent guidance on how to apply GenAI skills,many women hesitat

72、e to invest time in learningespecially when they are also balancing caregiving responsibilities or full-time work.Insights from female learners on Coursera show that“no time”is the most common reason cited for discontinuing STEM courses.23 The average time needed to complete a course is a stronger p

73、redictor of completion likelihood for females than males across STEM courses on Coursera.This highlights the need for modular,flexible learning models that fit into busy schedules while providing actionable feedback to support persistence.The absence of clear AI guidelines compounds this issue by cr

74、eating uncertainty around how GenAI should be learned,applied,and integrated into existing job roles.When companies fail to have clear policies on AI,they also end up reinforcing societal stereotypes,as seen in research by Leipzig University and Hugging Face,where AI-generated images consistently de

75、picted men in technical roles such as“engineer”or“scientist,”while women appeared in caregiving professions unless explicitly prompted otherwise.24 Recent data highlights how Coursera Coach,an AI-powered learning assistant,is one intervention that can can help women make the most of their limited le

76、arning time.Coursera Coach helps counteract time constraints by making learners 9.5%more likely to pass a quiz on their first attempt than learners who do not use Coach and also complete 11.6%more items per hour.25 Learners who use Coursera Coach are 9.5%more likely to pass a quiz on their first att

77、emptMerve Hickok on AIs role beyond careersMerve Hickok,a renowned AI ethics researcher and founder of AIethicist.org,highlights an often-overlooked reason why many hesitate to engage with GenAI:people do not realize the extent AI can impact their life outside of work.“AI education is not just for c

78、areer development but also for broader life roles,”Hickok explains.“As consumers,citizens,parents,siblings,or friends,understanding AI helps us become more informed and better equipped to respond to technological and societal changes.”However,lack of training,unclear AI guidelines and workplace poli

79、cies often create uncertainty,leaving manyincluding womenunsure of how to engage with this technology.Instructor SpotlightClosing the Gender Gap in GenAI Skills14010203Hickok urges organizations to reduce the intimidation factor and make AI feel accessible rather than exclusive.“As soon as you throw

80、 in technical terminology,people get intimidated.There is no reason.Once you understand the fundamentals,youll see how it impacts your life,”she says.Merve Hickok Founder,AI Ethicist Recommended actions Educators:Develop clear AI policies and design flexible learning models.Collaborating with facult

81、y and students to establish and communicate transparent AI policies is crucial,as it addresses ethical considerations,data privacy,and practical applications of GenAI.Plus,creating modular courses that allow learners to fit the content into their busy schedules is essential.Offering micro-credential

82、s for completing specific modules,implementing asynchronous options,and providing self-paced projects can accommodate varying time constraints,ensuring that women can balance their learning with other responsibilities.Businesses:Launch structured GenAI training programs tailored to employees at all

83、levels and offered in short,modular units.Courseras Generative AI Academy serves as an exemplary model,offering curated content across three pillars,including:GenAI for Everyone,which teaches foundational skills for employees across roles;GenAI for Executives,which instills strategic training for le

84、aders to execute impactful GenAI initiatives,and GenAI for Teams,which offers cross-functional training tailored to specific job roles.Additionally,organizations should establish GenAI ethics policies to set clear usage guidelines.Resources like Courseras Understanding Generative AI Risks guide offe

85、r actionable steps for addressing concerns such as hallucinations,intellectual property,and bias amplification.Governments:Develop GenAI policies that prioritize ethical considerations and inclusivity.For instance,IBMs course,Generative AI:Impact,Considerations,and Ethical Issues,provides insights i

86、nto navigating the ethical complexities of GenAI adoption such as data privacy.Governments can also follow Courseras model of secure GenAI Playgrounds,which enable learners to practice GenAI skills in safe,private environments,giving employees permission for where and how to try new GenAI prompting.

87、Without guidance and time,women may feel excluded from AI-related fields before they even begin their learning journey.At Coursera,weve tested structured interventions that have improved engagement and retention,including the addition of Coursera Coach to provide needed support to learners often und

88、erserved by online learning.Organizations that clearly outline AI learning pathways,offer structured support,and provide flexible course formats can help women overcome uncertainty and integrate GenAI into their careers with confidence.Learners complete 11.6%more items on average an hour when using

89、Coursera CoachClosing the Gender Gap in GenAI Skills15010203Dr.Jules White on making GenAI practical and relevant Dr.Jules White,Professor of Computer Science at Vanderbilt University,sees practical application as the key to closing the gender gap in GenAI learning.“GenAI is an interdisciplinary too

90、l where innovation comes from how you apply it within your discipline.By using your experience and creativity,you can tap into its full potential,”he explains.His approach?Meeting learners where they are.By using real-world scenarios like meal planning for busy families,drafting legal agreements,and

91、 improving patient communication,Whites Prompt Engineering for ChatGPT course from Vanderbilt University makes GenAI feel tangible and useful rather than abstract and technical.As a result,the course has achieved near gender parity in completion rates,with 28%of men and 27%of women finishing success

92、fully.“Many people assume GenAI is hyper-technical,but its real power lies in creativity and critical thinking,”White emphasizes.“Its a tool anyone can use to solve problems in innovative ways.”By showcasing relatable use cases,he removes barriers to entry and helps learners see AI as an asset in th

93、eir personal and professional lives.Strategy#5Make GenAI relevant to womens careers and everyday livesFor many women,the decision to pursue GenAI learning isnt just about accessits about relevance.26 If GenAI feels disconnected from their career paths,day-to-day work,or personal ambitions,engagement

94、 remains low.Despite GenAIs growing influence across industries,women remain underrepresented in AI and big data fields,making up just 30%of learners on Coursera.If women dont see how GenAI aligns with their goals,they are less likely to engage in upskilling opportunities,reinforcing existing dispar

95、ities in AI adoption and leadership.On Coursera,we tested how emphasizing goal-relevance can close this gap.In a randomized controlled trial,we introduced in-course prompts designed to help learners reflect on how STEM course content connected to their overall life goalsan intervention which virtual

96、ly eliminated the gender gap in STEM MOOC completion rates.27 Practical strategies to increase womens engagement Demonstrating AIs impact in women-dominated fields:When AI is framed around healthcare,28 education,29 and the arts,30 sectors where women are already highly engagedwomens interest and pe

97、rsistence increase.Highlighting real-world applications:Courses like Vanderbilt Universitys Prompt Engineering for ChatGPT,led by Dr.Jules White,achieves near gender parity in completion rates by demonstrating how GenAI applies to everyday tasks such as meal planning,productivity,and decision-making

98、.Encouraging reflection and goal-setting:Activities like career path mapping and skills-to-goals exercises help learners connect AI skills with their aspirations,reinforcing why learning GenAI matters.When organizations,educators,and businesses frame GenAI as a tool for diverse career paths and ever

99、yday applications,more women see AI as a resourcenot a barrier.Instructor SpotlightDr.Jules White Professor of Computer ScienceClosing the Gender Gap in GenAI Skills16010203 Recommended actions Educators:Reimagine how GenAI is integrated into curriculum design by connecting the technology to practic

100、al career and personal applications.For example,insights from Courseras Generative AI in Higher Education playbook reveal that 71%of business leaders prioritize hiring candidates with AI skills over more experienced candidates without them.31 Design programs that reflect this shift by offering inter

101、disciplinary courses to bridge GenAI concepts with real-world applications.Additionally,focus on empowering instructors with GenAI tools to enhance their reach and impact,emphasizing the collaborative model between educators and technology rather than replacement.Businesses:Highlight GenAI Academy a

102、s a model for scalable,role-specific training.The program provides tailored learning pathways for executives,teams,and general employees,ensuring that GenAI skills align with day-to-day responsibilities.Programs like these demonstrate how businesses can make GenAI practical and relevant to diverse r

103、oles.Encourage adoption by offering sponsorships,mentorship opportunities,and clear career advancement pathways for employees engaging with GenAI learning.Showcase examples of successful applications in your own industry and across a variety of roles.Governments:Emphasize GenAIs potential to drive i

104、nnovation and improve public service delivery.Courseras Harnessing the Power of AI to Transform Government Training playbook highlights the economic value GenAI can unlock in the public sector,estimated between$2.6 trillion and$4.4 trillion annually.32 Develop policies that prioritize funding for in

105、terdisciplinary GenAI programs aimed at addressing skill gaps in automation-heavy roles.Support AI literacy campaigns that connect GenAI to societal challenges,such as sustainability and digital transformation,ensuring women see its relevance to their lives and communities.Closing the Gender Gap in

106、GenAI Skills17010203The gender gap in GenAI learning is a reflection of missed opportunities for innovation,economic growth,and societal progress.As AI rapidly reshapes industries,the voices shaping its future must be as diverse as the populations it serves.Closing this gap requires more than awaren

107、essit demands action.At Coursera,weve seen firsthand that when learning environments prioritize representation,structured support,and relevance,women engage with GenAI at higher rates.Courses designed with inclusive instructors,clear learning pathways,and real-world applications drive significantly

108、higher female enrollment and persistence.Through targeted interventionssuch as personalized coaching,value-relevance framing,and mentorship programsweve proven that the barriers preventing women from pursuing AI skills are not insurmountable.The work towards gender equity in GenAI learning cannot ha

109、ppen in isolation.Businesses must ensure that AI training is inclusive,offering role models and career pathways that empower women to lead.Educators must design courses that reflect diverse experiences,connect AI learning to real-world impact,and remove unnecessary prerequisites to begin.Governments

110、 must champion AI upskilling initiatives that prioritize accessibility and equity,creating a future where AI education is open to all.Coursera remains committed to advancing inclusive learning pathways,but meaningful change requires a collective effort.The question is not whether we can close the ge

111、nder gap in GenAI learning but whether we will take the necessary steps to make it happen.Together,we can build an AI future that empowers everyone.Turning insights into measurable outcomes18010203EndnotesClosing the Gender Gap in GenAI Skills190102031 2024s Rising Content and Fastest Growing Skills

112、 for 2025(Coursera,2024)2 Women in Tech Stats 2025:Uncovering Trends and Unseen Data(WomenTech Network,2025)3 Global Gender Gap Report 2023(World Economic Forum,2023)4 STEM gender stereotypes from early childhood through adolescence at informal science centers(McGuire et al.,2020)5 STEM Gender Gaps

113、Significant Among Gen Z(Gallup,2023)6 Demographic Characteristics of High School Math and Science Teachers and Girls Success in STEM(Oxford Academic,2016)7 Addressing the Gender Gap in STEM MOOCs:How Brief,In-Course Messages Can Increase Females Motivation and Online Learning Success(Urban,2022)8 Ad

114、dressing the Gender Gap in STEM MOOCs:How Brief,In-Course Messages Can Increase Females Motivation and Online Learn-ing Success(Urban,2022)9 Will gen AI help or hinder women in the workplace?(Cognizant,2024)10 When Good Algorithms Go Sexist:Why and How to Advance AI Gender Equity(Berkeley Haas Cente

115、r for Equity,Gender and Leadership,2021)11 Understanding talent scarcity:AI&equity report(Randstad,2024)12 Gender bias in academia:a lifetime problem that needs solutions(Llorens et.al,2021)13 Understanding talent scarcity:AI&equity report(Randstad,2024)14 Under ten percent of chief technology offic

116、ers are women(Verdict,2023)15 Generative AI:Closing the gender gap(IBM,2023)16 Addressing the Gender Gap in STEM MOOCs:How Brief,In-Course Messages Can Increase Females Motivation and Online Learn-ing Success(Urban,2022)17 Demographic Characteristics of High School Math and Science Teachers and Girl

117、s Success in STEM(Oxford Academic,2016)18 Global Evidence on Gender Gaps and Generative AI(Harvard Business School,December 2024)19 Coursera Coach:Providing Essential Learner Support(Khan&Urban,December 2024)20 A Growth Mindset Can Reduce the Gender Gap in STEM(Hickey,Bakthavachalam,Urban,and Kolodn

118、y,Coursera,2018)21 Addressing the Gender Gap in STEM MOOCs:How Brief,In-Course Messages Can Increase Females Motivation and Online Learn-ing Success(Urban,2022)22 Generative AI:Closing the gender gap(IBM,2023)23 Closing the Gender Gap in STEM MOOCs Through Brief,Novel Interventions(Urban,2023)24 Rep

119、roducing inequality:How AI image generators show biases against women in STEM(UNDP,2023)25 Coursera Coach:Providing Essential Learner Support(Khan&Urban,December 2024)26 Addressing the Gender Gap in STEM MOOCs:How Brief,In-Course Messages Can Increase Females Motivation and Online Endnotes Closing t

120、he Gender Gap in GenAI Skills20010203Learning Success(Urban,2022)27 Addressing the Gender Gap in STEM MOOCs:How Brief,In-Course Messages Can Increase Females Motivation and Online Learning Success(Urban,2022)28 Transforming Womens Healthcare with AI(Health Management,2024)29 39 Examples of Artificia

121、l Intelligence in Education(University of San Diego,2024)30 AI in Art:Everything You Should Know About Its Role and Future(Unite.AI,2024)31 2024 Work Trend Index Annual Report(Microsoft&LinkedIn,May 2024)32 The economic potential of generative AI:The next productivity frontier(McKinsey&Company,2023)Closing the Gender Gap in GenAI Skills21010203