We verified a pre-service teachers' Extended Technology Acceptance Model (ETAM) for AI application use in education. Partial least squares structural equation modeling (PLS-SEM) examined data from 400 pre-service teachers in Central Visayas, Philippines. Perceived usefulness and attitudes, usefulness and attitudes, ease of use and attitudes, and intention to use AI apps were significantly correlated. However, subjective norms, experience, and voluntariness did not affect how valuable AI was viewed or intended to be used. Attitudes toward AI mediated specific correlations use. These findings improve the ETAM model and highlight the significance of user-friendly AI interfaces, educational activities highlighting AI's benefits, and institutional support to enhance pre-service teachers' adoption of AI applications in education. Despite its limitations, this study establishes the foundation for further research on AI adoption in educational settings.
Citation: Isidro Max V. Alejandro, Joje Mar P. Sanchez, Gino G. Sumalinog, Janet A. Mananay, Charess E. Goles, Chery B. Fernandez. Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education[J]. STEM Education, 2024, 4(4): 445-465. doi: 10.3934/steme.2024024
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We verified a pre-service teachers' Extended Technology Acceptance Model (ETAM) for AI application use in education. Partial least squares structural equation modeling (PLS-SEM) examined data from 400 pre-service teachers in Central Visayas, Philippines. Perceived usefulness and attitudes, usefulness and attitudes, ease of use and attitudes, and intention to use AI apps were significantly correlated. However, subjective norms, experience, and voluntariness did not affect how valuable AI was viewed or intended to be used. Attitudes toward AI mediated specific correlations use. These findings improve the ETAM model and highlight the significance of user-friendly AI interfaces, educational activities highlighting AI's benefits, and institutional support to enhance pre-service teachers' adoption of AI applications in education. Despite its limitations, this study establishes the foundation for further research on AI adoption in educational settings.
The presence of singularities and degeneracies in elliptic equations introduces significant challenges in analyzing the behavior of solutions. These singularities, especially near the origin or boundary, can profoundly affect the properties of the operator, making solutions more sensitive to changes in the domain. For instance, when 1<p<N, it is known that ˜u/|y|∈Lp(RN) if ˜u∈W1,p(RN), or ˜u/|y|∈Lp(Ω) when ˜u∈W1,p(Ω), where Ω is a bounded domain (see Lemma 2.1 in [12] for further details). In this context, the solution under consideration is ˜u, and such behavior leads to the development of Hardy-type inequalities, which are crucial for controlling the singularities of solutions near critical points, particularly when the equation includes singular potential terms (see, e.g., [1,12,17,18,20]).
Furthermore, the presence of an indefinite weight in the source term creates several challenges, mainly because it can change sign or behave irregularly. This complicates the application of standard methods for proving the existence of solutions, such as ensuring the necessary properties of the energy functional. The irregular behavior of the weight also makes it difficult to use common mathematical tools like Sobolev embeddings and variational methods. To overcome these difficulties, this manuscript employs a more flexible approach based on critical point theory [4], which allows establishing the existence of solutions despite the complexities introduced by the indefinite weight.
Finally, the degeneracy of differential operators, such as p-Laplacian or p(x)-Laplacian, when coupled with a weight function ω(x) inside the divergence, introduces additional complexity to the problem. The presence of ω(x), whether it is singular or merely bounded, requires a shift in the selection of appropriate functional spaces. Traditional Sobolev spaces like W1,p(Ω) or W1,p(x)(Ω) may no longer be adequate in such cases. To properly handle the singularities or degeneracies, it becomes necessary to consider alternative Sobolev spaces, such as W1,p(x)(ω,Ω) (see section 2 for the definition of W1,p(ω,Ω)), which are specifically designed to accommodate the weight function (see [6] for further details). The most recent contribution to the study of the p Laplacian in a bounded domain and in the whole space can be found in respectively in [5] and [3], furthermore, the degenerate p-Laplacian operator combined with a Hardy potential can be found in [16].
This paper tackles the challenges posed by degeneracy, Hardy-type singularities, and sign-changing source terms, which are common in applied mathematical models, by examining a class of weighted quasilinear elliptic Dirichlet problem involving a variable exponent p(x) and an indefinite source term. The main objective is to prove the existence of three weak solutions, using a critical point theorem introduced by Bonanno and Moranno in [4] while accounting for the complexities introduced by the operator's degeneracy and the singularities in the equation.
This manuscript explores the multiplicity of weak solutions to a weighted elliptic equations of the form:
{−Δp(x),a(x,u)u+b(x)|u|q−2u|x|q=λk(x)|u|s(x)−2uin Ω,u=0on ∂Ω, | (1.1) |
where λ is a positive parameter, 1<q<N, and Ω⊂RN (with N≥2) is a bounded open subset with smooth boundary ∂Ω. The function u is a solution to a weighted quasilinear elliptic equation involving a variable exponent p(x)∈C+(¯Ω)(see, the beginning of Section 2) and the nonlinear source term of the form k(x)|u|s(x)−2u which involves a weight function k(x) and may exhibit singularities on Ω and can change sign, belongs to a nonstandard Lebesgue space Lγ(x)(Ω).
The operator Δp(x),a(x,u)u represents a nonlinear generalization of the classical Laplacian, defined by:
Δp(x),a(x,u)u=div(a(x,u)|∇u|p(x)−2∇u), |
here a(x,u) denotes a Carathéodory function satisfying the inequality:
a1ω(x)≤a(x,u)≤a2ω(x), |
with a1,a2 are two positive constants, the function ω(x) is assumed to belongs to the local Lebesgue space L1loc(Ω), and it satisfies additional growth conditions, such as ω−h(x)∈L1(Ω), where h(x) satisfies certain bounds related to the variable exponent p(x). Specifically, we assume that
(ω)ω−h(x)∈L1(Ω),forh(x)∈C(¯Ω)andh(x)∈(Np(x),+∞)∩[1p(x)−1,+∞). |
The nonlinearity in the equation involves the functions k(x) and s(x), which are assumed to satisfy the following inequality for almost every x∈Ω
(k)1<s(x)<ph(x)<N<γ(x), |
where ph(x)=h(x)p(x)h(x)+1.
Set, S(Ω), the space that contains all measurable functions in Ω and
C+(¯Ω)={p(x)|p(x)∈C(¯Ω), p(x)>1, ∀x∈¯Ω}, |
p+=maxx∈¯Ωp(x),p−=minx∈¯Ωp(x). |
For τ>0, and p(x)∈C+(¯Ω), we use the following notations
τˆp=max{τp−, τp+}, τˇp=min{τp−, τp+}. |
In the sequel, we define the space Lp(x)(ω,Ω) as follows
Lp(x)(ω,Ω)={u∈S(Ω)∣∫Ωω(x)|u(x)|p(x)dx<∞}, |
where p(x) is a variable exponent, and ω(x) is a weight function. The space is endowed with a Luxemburg-type norm, given by:
‖u‖Lp(x)(ω,Ω)=inf{ν>0∣∫Ωω(x)|u(x)ν|p(x)dx≤1}. |
Next, we define the corresponding variable exponent Sobolev space, which incorporates the variable exponent p(x) in the functional setting.
W1,p(x)(Ω)={u∈Lp(x)(Ω): |∇u|∈Lp(x)(Ω)}, |
with the norm
‖u‖W1,p(x)(Ω)=‖∇u‖p(x)+‖u‖p(x), |
where ‖∇u‖p(x)=‖|∇u|‖p(x),|∇u|=(N∑i=1|∂u∂xi|2)12,∇u=(∂u∂x1,∂u∂x2,...,∂u∂xN) is the gradient of u at (x1,x2,...,xN).
Denote, by
W1,p(x)(ω,Ω)={u∈Lp(x)(Ω):ω1p(x)|∇u|∈Lp(x)(Ω)} |
the weighted Sobolev space and by W1,p(x)0(ω,Ω) as the closure of C∞0(Ω) in the space W1,p(x)(ω,Ω) endowed with the norm
‖u‖=inf{ν>0:∫Ωω(x)|∇u(x)ν|p(x)dx≤1}. |
Lemma 2.1. [8] If p1(x),p2(x)∈C+(¯Ω) such that p1(x)≤p2(x) a.e. x∈Ω, then there exists the continuous embedding W1,p2(x)(Ω)↪W1,p1(x)(Ω).
Proposition 2.1 ([9]) For p(x)∈C+(¯Ω),u,un∈Lp(x)(Ω), one has
min{‖u‖p−p(x),‖u‖p+p(x)}≤∫Ω|u(x)|p(x)dx≤max{‖u‖p−p(x),‖u‖p+p(x) }. |
Let 0<d(x)∈S(Ω), and define the space
Lp(x)(d,Ω):=Lp(x)d(x)(Ω)={u∈S(Ω)∣∫Ωd(x)|u(x)|p(x)dx<∞}, |
where p(x) is a variable exponent, and d(x) is a weight function. The space is equipped with a Luxemburg-type norm, defined by
‖u‖Lp(x)d(x)(Ω)=‖u‖(p(x),d(x)):=inf{ν>0∣∫Ωd(x)|u(x)ν|p(x)dx≤1}. |
Proposition 2.2 ([10]) If p∈C+(¯Ω). Then
min{‖u‖p−(p(x),d(x)),‖u‖p+(p(x),d(x))}≤∫Ωd(x)|u(x)|p(x)dx≤max{‖u‖p−(p(x),d(x)),‖u‖p+(p(x),d(x))} |
for every u∈Lp(x)d(x)(Ω) and for a.e. x∈Ω.
Combining Proposition 2.1 with Proposition 2.2, one has
Lemma 2.2. Let
ρω(u)=∫Ωω(x)|∇u(x)|p(x)dx. |
For p∈C+(¯Ω),u∈W1,p(x)(ω,Ω), we have
min{‖u‖p−,‖u‖p+}≤ρω(u)≤max{‖u‖p−,‖u‖p+}. |
From Proposition 2.4 of [20], if (ω) holds, W1,p(x)(ω,Ω) is a reflexive separable Banach space.
From Theorem 2.11 of [15], if (ω) holds, the following embedding
W1,p(x)(ω,Ω)↪W1,ph(x)(Ω) | (2.1) |
is continuous, where
ph(x)=p(x)h(x)h(x)+1<p(x). |
Combining (2.1) with Proposition 2.7 and Proposition 2.8 in [11], we get the following embedding
W1,p(x)(ω,Ω)↪Lr(x)(Ω) |
is continuous, where
1≤r(x)≤p∗h(x)=Nph(x)N−ph(x)=Np(x)h(x)Nh(x)+N−p(x)h(x). |
Furthermore, the following embedding
W1,p(x)(ω,Ω)↪↪Lt(x)(Ω) |
is compact, when 1≤t(x)<p∗h(x).
In what follows, and for any p(x)∈C+(¯Ω), let us denote by p′(x):=p(x)p(x)−1, the conjugate exponent of p(x).
Remark 2.1. Under Condition (k), one has
● 1<β(x)<p∗h(x) for almost every x∈Ω, where β(x):=γ(x)s(x)γ(x)−s(x), consequently
W1,p(x)(ω,Ω)↪↪Lβ(x)(Ω) |
is compact.
● 1<α(x)<p∗h(x) for almost every x∈Ω, where α(x)=γ′(x)s(x), consequently
W1,p(x)(ω,Ω)↪↪Lα(x)(Ω) |
is compact.
Lemma 2.3 (Hölder type inequality [2,11]). Let p1,p2,t≥1 three functions that belong in S(Ω) such that
1t(x)=1p1(x)+1p2(x),for almost every x∈Ω. |
If f∈Lp1(x)(Ω) and g∈Lp2(x)(Ω), then fg∈Lt(x)(Ω), moreover
‖fg‖t(x)≤2‖f‖p1(x)‖g‖p2(x). |
Similarly, if 1t(x)+1p1(x)+1p2(x)=1, for a.e. x∈Ω, then
∫Ω|f(x)g(x)h(x)|dx≤3‖f‖t(x)‖g‖p1(x)‖h‖p2(x). |
Lemma 2.4 ([7]). Let r1(x) and r2(x) be measurable functions such that r1(x)∈L∞(Ω), and 1≤r1(x)r2(x)≤∞, for a.e. x∈Ω. Let w∈Lr2(x)(Ω), w≠0. Then
‖w‖ˇr1r1(x)r2(x)≤‖|w|p(x)‖r2(x)≤‖w‖ˆpr1(x)r2(x). |
Let's define the functional Iλ:W1,p(x)0(ω,Ω)→R as
Iλ(u):=L(u)−λM(u), |
where
L(u):=∫Ωa(x,u)p(x)|∇u|p(x)dx+1q∫Ωb(x)|u|q|x|qdx, | (2.2) |
and
M(u):=∫Ω1s(x)k(x)|u|s(x)dx. | (2.3) |
It is noted that, based on Remark 2.1 and Lemma 2.4, the aforementioned functionals are both well-defined and continuously Gâteaux differentiable (see [14] for further details). The Gâteaux derivatives are as follows
⟨L′(u),v⟩=∫Ωa(x,u)|∇u|p(x)−2∇u⋅∇vdx+∫Ωb(x)|u|q−2uv|x|qdx, |
and
⟨M′(u),v⟩=∫Ωk(x)|u|s(x)−2uvdx. |
Furthermore, M′(u) is compact in the dual space (W1,p(x)0(ω,Ω))∗ (see [14]).
u∈W1,p(x)0(ω,Ω) is said to be a weak solution of the problem (1.1) if, the following holds for every v∈W1,p(x)0(ω,Ω).
⟨I′λ(u),v⟩=⟨L′(u),v⟩−λ⟨M′(u),v⟩=0. |
Lemma 2.5. L′ is a strictly monotone coercive functional that belongs in (W1,p(x)0(ω,Ω))∗.
Proof. For any u∈W1,p(x)0(ω,Ω)∖{0}, by Lemma 2.2, one has
L′(u)(u)=∫Ωa(x,u)|∇u|p(x)−2∇u∇udx+∫Ωb(x)|u|q−2u2|x|qdx≥a1ρω(u)≥a1⋅min{‖u‖p+,‖u‖p−}, |
thus
lim‖u‖→∞L′(u)(u)‖u‖≥a1⋅lim‖u‖→∞min{‖u‖p+,‖u‖p−}‖u‖=+∞, |
then L′ is coercive in view of p(x)∈C+(¯Ω).
According to (2.2) of [13], for all x,y∈RN, there is a positive constant Cp such that
⟨|x|p−2x−|y|p−2y,x−y⟩≥Cp|x−y|p, if p≥2, |
and
⟨|x|p−2x−|y|p−2y,x−y⟩≥Cp|x−y|2(|x|+|y|)2−p, if 1<p<2, and (x,y)≠(0,0), |
where ⟨.,.⟩ is the usual inner product in RN. Thus, for any u,v∈X satisfying u≠v, by standard arguments we can obtain
⟨L′(u)−L′(v),u−v⟩=∫Ωa(x,u)(|∇u|p(x)−2∇u−|∇v|p(x)−2∇v)(∇u−∇v)dx +∫Ωb(x)|x|q(|u|q−2u−|v|q−2v)(u−v))dx>0, |
hence, one has L′ is strictly monotone in W1,p(x)0(ω,Ω).
Lemma 2.6. The functional L′ is a mapping of (S+)-type, i.e. if un⇀u in W1,p(x)0(ω,Ω), and ¯limn→∞⟨L′(un)−L′(u),un−u)⟩≤0, then un→u in W1,p(x)0(ω,Ω).
Proof. Let un⇀u in W1,p(x)0(ω,Ω), and ¯limn→∞⟨L′(un)−L′(u),un−u⟩≤0.
Noting that L′ is strictly monotone in W1,p(x)0(ω,Ω), we have
limn→∞⟨L′(un)−L′(u),un−u⟩=0, |
while
⟨L′(un)−L′(u),un−u⟩=∫Ωa(x,u)(|∇un|p(x)−2∇un−|∇u|p(x)−2∇u)(∇un−∇u)dx +∫Ω(b(x)|un|q−2|x|qun(un−u)−b(x)|u|q−2|x|qu(un−u))dx, |
thus we get
¯limn→∞∫Ωa(x,u)(|∇un|p(x)−2∇un−|∇u|p(x)−2∇u)(∇un−∇u)dx≤0. |
Further, by (1.2) one has
¯limn→∞∫Ωω(x)(|∇un|p(x)−2∇un−|∇u|p(x)−2∇u)(∇un−∇u)dx≤0, |
then un→u in W1,p(x)0(ω,Ω) via Lemma 3.2 in [19].
Lemma 2.7. L′ is an homeomorphism.
Proof. The strict monotonicity of L′ implies that it is injective. Since L′ is coercive, it is also surjective, and hence L′ has an inverse mapping.
Next, we show that the inverse mapping (L′)−1 is continuous.
Let ˜fn,˜f∈(W1,p(x)0(ω,Ω))∗ such that ˜fn→˜f. We aim to prove that (L′)−1(˜fn)→(L′)−1(˜f).
Indeed, let (L′)−1(˜fn)=un and (L′)−1(˜f)=u, so that L′(un)=˜fn and L′(u)=˜f. By the coercivity of L′, the sequence un is bounded. Without loss of generality, assume un⇀u0, which implies
limn→∞(L′(un)−L′(u),un−u0)=limn→∞(˜fn−˜f,un−u0)=0. |
Thus, un→u0 because L′ is of (S+)-type, which ensures that L′(un)→L′(u0). Combining this with L′(un)→L′(u), we deduce that L′(u)=L′(u0). Since L′ is injective, it follows that u=u0, and hence un→u. Therefore, we have (L′)−1(˜fn)→(L′)−1(˜f), proving that (L′)−1 is continuous.
The following critical point theorems constitute the principal tools used to obtain our result.
Theorem 2.1. ([4, Theorem 3.6]). Let X be a reflexive real Banach space and assume the following
● L:X→R be a coercive functional that is continuously Gateaux differentiable and weakly lower semicontinuous in the sequential sense
● The Gateaux derivative of L has a continuous inverse on the dual space X∗.
● M:X→R is a continuously Gateaux differentiable functional whith a compact Gateaux derivative.
Furthermore, suppose that
(a0)infXL=L(0)=0 and M(0)=0. |
There exist a positive constant d and a point ¯v∈X such that d06L(¯v), and the following conditions are satisfied:
(a1)supL(x)<dM(x)d<M(¯v)L(¯v), |
(a2)For each λ∈Λd:=(L(¯v)M(¯v),dsupL(x)≤dM(x)),the functional Iλ:=L−λM is coercive. |
Then, for any λ∈Λd, L−λM has at least three distinct critical points in X.
In this section, a theorem about the existence of at least three weak solutions to the problem (1.1) is obtained.
Recall the Hardy inequality (refer to Lemma 2.1 in [12] for more details), which asserts that for 1<t<N, the following inequality holds:
∫Ω|u(x)|t|x|tdx≤1H∫Ω|∇u|tdx,∀u∈W1,t0(Ω), |
where the optimal constant H is given by:
H=(N−tt)t. |
By combining this with Lemma 2.1 and using the fact that 1<q<ph(x)<N, we deduce the continuous embeddings
W1,p(x)0(ω,Ω)↪W1,ph(x)0(Ω)↪W1,q0(Ω), |
which leads to the inequality
∫Ω|u(x)|q|x|qdx≤1H∫Ω|∇u|qdx,∀u∈W1,p(x)0(ω,Ω), |
where H=(N−qq)q.
We are now ready to present our primary result. To this end, we define
˜D(x):=sup{˜D>0∣B(x,˜D)⊆Ω} |
for each x∈Ω, here B(x,˜D) denotes a ball centered at x with radius ˜D. It is clear that there exists a point x0∈Ω such that B(x0,R)⊆Ω, where
R=supx∈Ω˜D(x). |
In the remainder, assume that k(x), fulfill this requirement
k(x):={≤0, forx∈Ω∖B(x0,R),≥k0, forx∈B(x0,R2),>0, for x∈B(x0,R)∖B(x0,R2), |
where k0 is a positive constant, the symbol ˜m will represent the constant
˜m=πN2N2Γ(N2), |
with Γ denoting the Gamma function.
Theorem 3.1. Assume that p−>s+, and, there exist two positive constants d and δ>0, such that
1p+(2δR)ˇp‖w‖L1(B)=d, |
and
Aδ:=1p−(2δR)ˆp‖ω‖L1(B)+(2δR)q‖b‖∞qH˜m(RN−(R2)N)1s+k0δˇs˜m(R2)N<Bd:=dcˆsγ′s‖k‖γ(x)s−[(p+d)1ˇp]ˆs, |
then for any λ∈]Aδ,Bd[, problem (1.1) has at least three weak solutions.
Proof. It is worth noting that the functional L and M associated with problem (1.1) and defined in (2.2) and (2.3), satisfy the regularity assumptions outlined in Theorem 2.1. We will now establish the fulfillment of conditions (a1) and (a2). To this end, let's consider
1p+(2δR)ˇp‖ω‖L1(B)=d |
and consider vd∈X such that
vδ(x):={0x∈Ω∖B(x0,R)2δR(R−|x−x0|)x∈B:=¯B(x0,R)∖B(x0,R2),δx∈¯B(x0,R2). |
Then, by the definition of L, we have
1p+(2δR)ˇp‖ω‖L1(B)<L(vδ)≤1p−(2δR)ˆp‖ω‖L1(B)+(2δR)q‖b‖∞qH˜m(RN−(R2)N) |
Therefore, L(vδ)>d. However, it is important to consider the following
M(vδ)≥∫B(x0,R2)k(x)s(x)|vδ|γ(x)dx≥1s+k0δˇs˜m(R2)N | (3.1) |
In addition, for each u∈L−1(]−∞,d]), we have
1p+‖u‖ˇp≤d. | (3.2) |
therefore,
‖u‖≤(p+L(u))1ˇp<(p+d)1ˇp. |
Furthermore, we can deduce using Lemmas 2.3, 2.4 and Remark 2.1 the following
M(u)≤1s−‖k‖γ(x)‖|u|s(x)‖γ′(x)≤1s−‖k‖s(x)(cγ′s‖u‖)ˆs, | (3.3) |
where cγ′s is the constant from the continuous embedding of W1,p(x)0(ω,Ω) into W1,γ′(x)s(x)(Ω).
This leads to the following result
supL(u)<dM(u)≤cˆsγ′s‖k‖γ(x)s−[(p+d)1ˇp]ˆs, |
and
1dsupL(u)<dM(u)<1λ. |
Furthermore, we can establish the coerciveness of Iλ for any positive value of λ by employing inequality (3.1) once more. This yields the following result
M(u)≤cˆsγ′s‖k‖γ(x)s−‖u‖ˆs. |
When ‖u‖ is great enough, the following can be inferred
L(u)−λM(u)≥1p+‖u‖p−−λcˆsγ′s‖k‖γ(x)s−‖u‖ˆs. |
By considering the fact that p−>s+, we can reach the desired conclusion. In conclusion, considering the aforementioned fact that
ˉΛd:=(Aδ,Bd)⊆(L(vδ)M(vδ),dsupL(u)<dM(u)), |
since all assumptions of Theorem 2.1 are fulfilled, it can be deduced that for any λ∈ˉΛd, the function L−λM possesses at least three critical points that belong in X:=W1,p0(ω,Ω). Consequently these critical points are exactly weak solutions of problem (1.1).
Khaled Kefi: Conceptualization, Methodology, Writing–original draft, Supervision; Nasser S. Albalawi: Conceptualization, Methodology, Writing–original draft, Supervision. All authors have read and agreed to the published version of the manuscript.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA for funding this research work through the project number NBU-FPEJ-2025-1706-01.
The authors declare that they have no conflicts of interest.
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