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International	Journal	of	Trend	in	Scientific	Research	and	Development	(IJTSRD)	@	www.ijtsrd.com	eISSN:	2456-6470
        benefit	 from	 diverse	 insights,	 expertise,	 and	 networking	  and	 Young	 (2020)	 highlighted	 that	 technical	 proficiency
        opportunities,	  which	  are	  invaluable	  in	  today's	  alone	is	insufficient	for	success	in	the	cybersecurity	field.
        interconnected	professional	landscape.	                Skills	 such	 as	 communication,	 teamwork,	 and	 critical
                                                               thinking	are	equally	vital.	AI-powered	eLearning	platforms
        II.    RELATED	WORK	                                   that	foster	these	competencies	through	interactive,	scenario-
        The	 field	 of	 cybersecurity	 education	 has	 witnessed	  based	learning	environments	can	better	prepare	students	for
        significant	advancements	over	the	past	decade,	spurred	by	  real-world	challenges.
        the	increasing	sophistication	of	cyber	threats	and	the	rapid
        pace	 of	 technological	 change.	 Previous	 research	 has	  III.   PROPOSED	WORK
        highlighted	various	approaches	to	enhancing	cybersecurity	  Innovations	 in	 cybersecurity	 education	 have	 become
        education,	 focusing	 on	 traditional	 methods	 as	 well	 as	  increasingly	vital	in	addressing	the	growing	complexity	and
        innovative	strategies	that	integrate	technology.	This	section	  sophistication	of	cyber	threats.	One	promising	avenue	for
        reviews	 key	 literature	 related	 to	 AI-powered	 eLearning	  transforming	how	cybersecurity	knowledge	is	imparted	is
        platforms	in	the	context	of	cybersecurity	education.	  the	integration	of	AI-powered	eLearning	platforms.	These
                                                               platforms	offer	personalized	learning	experiences,	adapt	to
        In	 traditional	 settings,	 cybersecurity	 education	 has	 often	  the	pace	and	proficiency	of	individual	learners,	and	provide
        relied	on	a	one-size-fits-all	approach,	which	may	not	address	  real-time	 feedback,	 creating	 an	 engaging	 and	 effective
        the	 diverse	 needs	 of	 learners.	 To	 combat	 this	 limitation,	  educational	  environment.	  By	  leveraging	  artificial
        scholars	such	as	Johnson	and	Miller	(2018)	have	emphasized	  intelligence,	these	platforms	can	analyze	learner	behavior
        the	importance	of	personalized	learning	experiences	that	  and	performance,	identifying	areas	where	students	struggle
        adapt	 to	 individual	 skill	 levels.	 Their	 work	 advocates	 for	  and	tailoring	content	to	address	specific	weaknesses.	This
        methodologies	 that	 incorporate	 adaptive	 learning	  level	of	customization	ensures	that	learners	acquire	the	skills
        technologies	 to	 create	 more	 inclusive	 educational	  and	knowledge	necessary	to	tackle	real-world	cybersecurity
        environments.
                                                               challenges.
        Recent	studies	have	illustrated	the	role	of	simulations	in	  AI-powered	 platforms	 can	 simulate	 realistic	 cyberattack
        cybersecurity	training.	For	example,	Ashford	et	al.	(2020)	  scenarios,	 enabling	 students	 to	 practice	 identifying,
        explored	the	effectiveness	of	simulation-based	training	in	  analyzing,	 and	 mitigating	 threats	 in	 a	 controlled
        delivering	practical	experiences	to	learners.	Their	findings	  environment.	These	simulations	foster	critical	thinking	and
        indicated	 that	 participants	 who	 engaged	 in	 simulated	  problem-solving	 skills,	 which	 are	 essential	 in	 the
        cybersecurity	 incidents	 demonstrated	 better	 decision-  cybersecurity	domain.	Additionally,	adaptive	assessments
        making	skills	and	preparedness	in	real-world	scenarios.	This	  allow	educators	to	gauge	student	progress	accurately	and
        aligns	 with	 the	 growing	 trend	 of	 utilizing	 immersive	  modify	curricula	to	meet	industry	demands.	By	providing
        technologies,	 such	 as	 virtual	 reality	 (VR),	 to	 enhance	 the	  virtual	labs	and	hands-on	exercises,	these	platforms	bridge
        learning	 experience	 (Kumar	 &	 Sinha,	 2021).The	    the	 gap	 between	 theoretical	 knowledge	 and	 practical
        incorporation	 of	 AI	 into	 educational	 frameworks	 has	  application,	ensuring	learners	are	better	prepared	for	real-
        garnered	 considerable	 attention	 in	 recent	 literature.	  world	situations.
        According	to	Chen	et	al.	(2019),	AI	technologies,	including
        machine	learning	and	natural	language	processing,	have	the	  Moreover,	AI-driven	systems	can	stay	up-to-date	with	the
        potential	 to	 revolutionize	 educational	 practices.	 Their	  latest	 trends	 and	 threats	 in	 cybersecurity,	 automatically
        research	particularly	highlights	the	ability	of	AI	to	analyze	  incorporating	 new	 content	 and	 scenarios	 into	 the
        learner	 data	 in	 real-time,	 enabling	 educators	 to	 provide	  curriculum.	This	dynamic	approach	ensures	that	students
        timely	 interventions	 that	 promote	 student	 success.	  are	 always	 learning	 the	 most	 current	 techniques	 and
        Furthermore,	 the	 impact	 of	 gamification	 on	 learner	  strategies.	 The	 platforms	 can	 also	 integrate	 gamified
        engagement	has	been	examined	in	various	studies.	Research	  elements,	 such	 as	 leaderboards	 and	 rewards,	 to	 boost
        by	 Deterding	 et	 al.	 (2011)	 demonstrated	 that	 gamified	  learner	 engagement	 and	 motivation.	 By	 fostering	 an
        learning	 experiences	 could	 increase	 motivation	 and	  interactive	and	immersive	learning	experience,	AI-powered
        participation	 among	 students.	 By	 integrating	 game	  eLearning	tools	encourage	students	to	stay	committed	to
        mechanics	into	cybersecurity	training,	educators	can	create	  their	educational	journey.
        an	engaging	environment	that	encourages	active	problem-  Another	 significant	 advantage	 of	 these	 platforms	 is	 their
        solving	and	collaboration.	The	role	of	collaborative	learning
        in	 cybersecurity	 education	 is	 also	 well-documented.	  scalability.	 Traditional	 classroom-based	 cybersecurity
                                                               education	 often	 struggles	 to	 accommodate	 the	 growing
        Research	by	Le	et	al.	(2021)	emphasizes	the	significance	of	  demand	 for	 skilled	 professionals.	 AI-powered	 platforms,
        peer	 interactions	 and	 knowledge	 sharing	 in	 enhancing	  however,	can	reach	a	global	audience,	breaking	geographical
        learning	 outcomes.	 Online	 platforms	 that	 facilitate
        collaboration	can	leverage	social	learning	theories,	providing	  barriers	 and	 providing	 access	 to	 quality	 education	 to
                                                               learners	 in	 remote	 areas.	 This	 democratization	 of
        opportunities	for	students	to	engage	with	each	other	and	  cybersecurity	education	has	the	potential	to	cultivate	a	more
        learn	from	diverse	perspectives.
                                                               diverse	and	skilled	workforce,	addressing	the	talent	gap	in
        Additionally,	there	is	growing	recognition	of	the	importance	  the	field.
        of	soft	skills	in	cybersecurity	education.	A	study	by	Phillips











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