The rapid advancement of technology in the era of the Fourth Industrial Revolution presents both opportunities and challenges for education, particularly in the field of mathematics. As teachers incorporate technology into their instructional practices, it is crucial to examine the role of morality in shaping their approach and the subsequent impact on readiness to face the demands of this transformative era. This study investigates the effect of morality as a mediator between teachers' use of technology in mathematics education and readiness for the Fourth Industrial Revolution. The study adopted a quantitative research design, involving a sample of mathematics teachers from Malaysia and Indonesia. The findings found that the impact of technology use on the readiness for IR4.0 among mathematics teachers in Indonesia and Malaysia was found not statistically significant, but it significantly influences morality, suggesting that morality full mediates the relationship between technology use and readiness among mathematics teachers in Indonesia and Malaysia. This study contributes to understanding of how technology integration and moral values intersect in preparing mathematics teachers for the readiness of IR4.0. These insights can inform the development of effective strategies, policies, and interventions to equip teachers with the necessary skills and ethical frameworks to thrive in the digital age.
Citation: Hutkemri Zulnaidi, Nofouz Mafarja, Enny Oktavika. The readiness of IR4.0: Morality and technology integration among mathematics teachers[J]. STEM Education, 2024, 4(1): 1-19. doi: 10.3934/steme.2024001
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The rapid advancement of technology in the era of the Fourth Industrial Revolution presents both opportunities and challenges for education, particularly in the field of mathematics. As teachers incorporate technology into their instructional practices, it is crucial to examine the role of morality in shaping their approach and the subsequent impact on readiness to face the demands of this transformative era. This study investigates the effect of morality as a mediator between teachers' use of technology in mathematics education and readiness for the Fourth Industrial Revolution. The study adopted a quantitative research design, involving a sample of mathematics teachers from Malaysia and Indonesia. The findings found that the impact of technology use on the readiness for IR4.0 among mathematics teachers in Indonesia and Malaysia was found not statistically significant, but it significantly influences morality, suggesting that morality full mediates the relationship between technology use and readiness among mathematics teachers in Indonesia and Malaysia. This study contributes to understanding of how technology integration and moral values intersect in preparing mathematics teachers for the readiness of IR4.0. These insights can inform the development of effective strategies, policies, and interventions to equip teachers with the necessary skills and ethical frameworks to thrive in the digital age.
The Bernoulli numbers are defined by the exponential generating function:
yey−1=∞∑n=0Bnynn!. |
For their wide applications to classical analysis (cf. Stromberg [47, Chapter 7], number theory (cf. Apostol [3, §12.12]), combinatorics [44, §3.4] and numerical mathematics (cf. Arfken [5]), these numbers appear frequently in the mathematical literature (see Comtet [17, §1.14], Graham et al. [26, §6.5] and Hansen [27, §50]).
There exist numerous interesting properties (cf. [2,4,8,13,24]); in particular, about recurrence relations (cf. [1,21,30,37]), reciprocities (cf. [12,25,41,42,49]), convolutions (cf. [14,15,16,22,34]), multiple sums (cf. [10,11,19,32]) and combinatorial applications (cf. [6,31,35,38]). A few of them are recorded here as examples:
● Arithmetic sums
m∑k=1kn=n∑j=0(m+1)j+1n+1(n+1j+1)Bn−j. |
● Binomial recurrences
n∑k=0(nk)Bk=(−1)nBn,n≥0;n−2∑k=1(nk)kBk=−n2Bn−1,n≥3;n∑k=0(nk)Bk2+n−k=Bn+1n+1,n≥0. |
● Convolutions of the Miki type (cf. [12,22,34,36,40])
ℓ−1∑k=1BkBℓ−kk−ℓ−1∑k=2(ℓk)BkBℓ−kk=HℓBℓ,ℓ∑k=0BkBℓ−k−2ℓ∑k=2(ℓ+1k+1)BkBℓ−kk+2=(ℓ+1)Bℓ. |
● Riemann zeta series
∞∑k=11k2n=(−1)n−122n−1B2n(2n)!π2n,∞∑k=1(−1)k−1k2n=(−1)n(1−22n−1)B2n(2n)!π2n,∞∑k=11(2k−1)2n=(−1)n(1−22n)B2n2(2n)!π2n. |
The aim of this paper is to examine and review systematically explicit formulae of Bernoulli numbers. Among known double sum expressions, the simplest one reads as
Bn=n∑j=0j∑k=0(−1)kj+1(jk)kn=n∑k=0knn∑j=k(−1)kj+1(jk). |
We observe that when the upper limit n is replaced by m≥n, the last formula is still valid. Letting Ω(m,k) be the connection coefficients
Ω(m,k)=m∑j=k(−1)kj+1(jk), |
we have the following formula (see Theorem 1) with an extra parameter m:
Bn=m∑k=0knΩ(m,k),wherem≥n. |
Three remarkable formulae can be highlighted in anticipation as exemplification (see Eqs (2.20), (3.14) and (4.1)), where for m=n, the last two identities resemble those found respectively by Bergmann [7] and Gould [24, Eq (1.4)]:
n+Bn=m∑k=0(k+2)nm∑j=k(−1)kj+1(jk),m≥n≥2;Bn=m∑k=1knm∑j=k(−1)j−1j(j+1)(mj),m≥n≥2;Bn=m∑k=1knm∑j=k(−1)k−1(j−1k−1)Hj,m>n≥1. |
The rest of the paper will be organized as follows. In the next section, we shall establish several representation formulae of Bn by parameterizing known double sums with m. Then in Section 3, by examining equivalent expressions for Ω(m,k) and another connection coefficient ω(m,k), we shall prove further explicit formulae for Bernoulli numbers. Finally, the paper will end in Section 4, where more summation formulae will be shown.
Throughout the paper, we shall frequently make use of the following notations. Let N be the set of natural numbers with N0={0}∪N. For n∈N0 and an indeterminate x, the shifted factorial is defined by
(x)0≡1and(x)n=n−1∏k=0(x+k)forn∈N. |
The harmonic numbers Hn are given by the partial sums Hn=∑nk=11k,wheren∈N.
Denote by [yn]ϕ(y) the coefficient of yn in the formal power series ϕ(y). Recall the exponential generating function of the Bernoulli numbers
yey−1=∞∑n=0Bnn!yn. |
Expanding this function into the series
yey−1=ln{1+(ey−1)}ey−1=∞∑j=0(−1)jj+1(ey−1)j, |
we get, for m≥n, the following expression
Bn=n![yn]m∑j=0(−1)jj+1(ey−1)j=n!m∑j=0(−1)jj!j+1[yn](ey−1)jj!=m∑j=0(−1)jj!j+1S2(n,j), |
where S2(n,j) is the Stirling number of the second kind
S2(n,j)=njj!=1j!j∑k=0(−1)j−k(jk)kn. | (2.1) |
Therefore, we have established, by substitution, the following explicit formula.
Theorem 1 (m,n∈N0 with m≥n).
Bn=m∑j=0j∑k=0(−1)kj+1(jk)kn=m∑k=0knm∑j=k(−1)kj+1(jk). |
This fundamental result will be the starting point for us to examine explicit formulae of Bernoulli numbers. When m=n+1, the corresponding formula can be located in Jordan [29, §78, Page 236]. Instead, its m=n case is well-known; that can be found in Cook [18], Gould [23, Eq (1)] and [24, Eq (1.3)], Higgens [28], Quaintance and Gould [43, Eq (15.2)].
Define the coefficients Ω(m,k) by
Ω(m,k):=m∑j=k(−1)kj+1(jk). | (2.2) |
We can rewrite the basic formula in Theorem 1 as
Bn=m∑k=0knΩ(m,k),wherem≥n. | (2.3) |
Lemma 2. For m≥k, the coefficients Ω(m,k) satisfy the recurrence relations:
Ω(m,k)−Ω(m−1,k)=(−1)km+1(mk), | (2.4) |
Ω(m,k)−Ω(m,k−1)=(−1)kk(m+1k). | (2.5) |
Proof. The first one (2.4) follows directly from the definition of Ω(m,k). The second one can be done as follows
Ω(m,k)−Ω(m,k−1)=m∑j=k(−1)kj+1(jk)+m∑j=k−1(−1)kj+1(jk−1)=m∑j=k−1(−1)kj+1{(jk)+(jk−1)}=m∑j=k−1(−1)kj+1(j+1k)=(−1)kkm∑j=k−1(jk−1), |
which confirms (2.5) after having evaluated the binomial sum
m∑j=k−1(jk−1)=(m+1k). |
In addition, the lower triangular matrix
Ωm:=[Ω(i,j)]1≤i,j≤m |
with diagonal elements
Ω(k,k)=(−1)kk+1 |
is invertible. We can determine its inverse explicitly by
Ω−1m=[(−1)j(ij)1+2i+ij1+j]1≤i,j≤m. |
Similar to the formula in Theorem 1, we have the following three variants.
Proposition 3 (m,n∈N).
Bn=m∑k=1kn+1m∑j=k(−1)k−1j2(jk),m>n≥2; | (2.6) |
Bn=m∑k=1knm∑j=k(−1)k−1j(j+1)(jk),m≥n≥2; | (2.7) |
Bn=m∑k=1knm∑j=k(−1)k2j+1j(j+1)(jk),m≥n≥2. | (2.8) |
Among these formulae, the first two reduce, for m=n+1 and m=n, to Fekih-Ahmed [20, Eqs (5) and (6)], respectively.
Proof. According to (2.5), we have, for m≥n>1, the following equalities:
Bn=m∑k=1knΩ(m,k)=m∑k=1(−1)k(m+1k)kn−1+m∑k=1knΩ(m,k−1)=(−1)m(m+1)n−1+m∑k=1knm∑i=k−1(−1)k−1i+1(ik−1). |
Simplifying the last line
Bn=m+1∑k=1knm∑i=k−1(−1)k−1i+1(ik−1),(m≥n≥2) | (2.9) |
and then reformulating it as
Bn=m+1∑k=1kn+1m∑i=k−1(−1)k−1(i+1)2(i+1k), |
we confirm (2.6) under the replacements "m→m−1" and "i→j−1".
Observe further that for m≥n, the double sum vanishes
m∑k=1knm∑j=k(−1)kj(jk)=0,(m≥n≥2), | (2.10) |
which is justified by the finite differences
m∑k=1(−1)kkn−1m∑j=k(j−1k−1)=m∑k=1(−1)k(mk)kn−1=0. |
Then (2.7) and (2.8) follow respectively from the difference and sum between Eq (2.10) and that in Theorem 1.
Besides (2.10) and the formula in Theorem 1, we also have the following counterparts.
Theorem 4 (m,n∈N with m≥n≥1).
m∑k=1knm∑j=k(−1)kj+2(jk)={Bn,n≡20;Bn+1,n≡21. | (2.11) |
m∑k=1knm∑j=k(−1)kj+3(jk)={Bn+12Bn+2,n≡20;32Bn+1,n≡21. | (2.12) |
Proof. In accordance with the binomial relation
(jk)=(j+1k)−(jk−1), | (2.13) |
we can write the sum in (2.11) as "A+B", where
A=m∑k=0knm∑j=k(−1)kj+2(j+1k),B=m∑k=0knm∑j=k(−1)k−1j+2(jk−1). |
Replacing the summation index j by i−1 in "A", we can reformulate it as follows:
A=m∑k=0knm+1∑i=k+1(−1)ki+1(ik)=m+1∑k=0knm+1∑i=k(−1)ki+1(ik)−m+1∑k=0(−1)kknk+1. |
Recalling Theorem 1, we deduce the expression
A=Bn−m+1∑k=0(−1)kknk+1. | (2.14) |
When n>1, applying first the partial fractions and then making the replacement "j→i−1", we can rewrite "B" as
B=m∑k=1kn+1m∑j=k(−1)k−1(j+1)(j+2)(j+1k)=m∑k=1kn+1m∑j=k(−1)k−1j+1(j+1k)+m∑k=1kn+1m∑j=k(−1)kj+2(j+1k)=m∑k=1kn+1m+1∑i=k+1(−1)ki+1(ik)−m∑k=1kn+1m+1∑i=k+1(−1)ki(ik). |
By appealing to Theorem 1 and (2.10), we reduce the last expression to the following one:
B=Bn+1+m+1∑k=1(−1)kkn−m+1∑k=1(−1)kkn+1k+1=Bn+1+m+1∑k=1(−1)kknk+1. | (2.15) |
Putting together (2.14) and (2.15), we find that
A+B=Bn+Bn+1, |
which is equivalent to the expression in (2.11).
Similarly, by making use of (2.13), we can write the sum (2.12) as "C+D", where
C=m∑k=1knm∑j=k(−1)kj+3(j+1k),D=m∑k=1knm∑j=k(−1)k−1j+3(jk−1). |
Replacing the summation index j by i−1 in "C", we can manipulate it as follows:
C=m∑k=1knm+1∑i=k+1(−1)ki+2(ik)=m+1∑k=1knm+1∑i=k(−1)ki+2(ik)−m+1∑k=1(−1)kknk+2. |
Evaluating the first sum by (2.11), we obtain the expression
C=Bn+Bn+1−m+1∑k=1(−1)kknk+2. | (2.16) |
We can analogously treat "D" as follows:
D=m∑k=1kn+1m∑j=k(−1)k+1(j+1)(j+3)(j+1k)=12m∑k=1kn+1m∑j=k(−1)kj+3(j+1k)−12m∑k=1kn+1m∑j=k(−1)kj+1(j+1k)=12m∑k=1kn+1m+1∑i=k+1(−1)ki+2(ik)−12m∑k=1kn+1m+1∑i=k+1(−1)ki(ik). |
Applying (2.10) and (2.11), we can further simplify the last expression
D=Bn+1+Bn+22−12m+1∑k=1(−1)kkn+1k+2+12m+1∑k=1(−1)kkn=Bn+1+Bn+22+m+1∑k=1(−1)kknk+2. | (2.17) |
Finally, putting (2.16) and (2.17), we arrive at
C+D=Bn+3Bn+1+Bn+22, |
which proves the second identity (2.12).
Furthermore, there are four similar sums that can be expressed in closed forms in Bernoulli numbers.
Theorem 5 (m,n∈N).
m∑k=0(k+1)nm∑i=k(−1)ki+1(ik)=Bn,m≥n≥2; | (2.18) |
m∑k=0(k+1)nm∑i=k(−1)ki+2(ik)=Bn+1,m≥n≥1; | (2.19) |
m∑k=0(k+2)nm∑i=k(−1)ki+1(ik)=n+Bn,m≥n≥2; | (2.20) |
m∑k=0(k+2)nm∑i=k(−1)ki+2(ik)=1−Bn+Bn+1,m≥n≥1. | (2.21) |
Proof. The first one (2.18) is deduced from (2.9) under the replacement "k→k+1".
By splitting the sum in (2.19) into two, then making the replacements "i→j−1,k→k−1" for the former and "k→k−1" for the latter, we can confirm the second identity (2.19) as follows:
m∑k=0(k+1)nm∑i=k(−1)ki+2(ik)=m∑k=0(k+1)nm∑i=k(−1)ki+2{(i+1k+1)−(ik+1)}=m+1∑k=1knm+1∑j=k(−1)k−1j+1(jk)+m+1∑k=1knm∑i=k−1(−1)ki+2(ik)=m∑k=1knm∑i=k(−1)ki+2(ik)−m+1∑k=1knm+1∑j=k(−1)kj+1(jk)=(Bn+Bn+1)−Bn=Bn+1. |
According to (2.13), we can write the third sum in (2.20) as "E+F", where
E=m∑k=0(k+2)nm∑i=k(−1)ki+1(i+1k+1),F=m∑k=0(k+2)nm∑i=k(−1)k−1i+1(ik+1). |
The sum "E" can be evaluated by
E=m∑k=0(−1)k(k+2)nk+1m∑i=k(ik)=m∑k=0(−1)k(k+2)nk+1(m+1k+1)=n∑i=0(ni)m∑k=0(−1)k(m+1k+1)(k+1)i−1. |
Because the above inner sum results in zero for 2≤i≤n, there remain, for "E", only two terms corresponding to i=1 and i=0:
E=n+m∑k=0(−1)kk+1(m+1k+1)=n+Hm+1. | (2.22) |
The sum "F" can be restated, under "k→k−1", as
F=m+1∑k=1(k+1)nm∑i=k−1(−1)ki+1(ik)=m∑k=1(k+1)nm∑i=k(−1)ki+1(ik)=m∑k=0(k+1)nm∑i=k(−1)ki+1(ik)−m∑i=01i+1. |
Evaluating the former sum by (2.18), we find that
F=Bn−Hm+1. | (2.23) |
Then the third identity (2.20) follows by putting (2.22) and (2.23) together.
Finally, for (2.21), write that sum as "G+H", where
G=m∑k=0(k+2)nm∑i=k(−1)ki+2(i+1k+1),H=m∑k=0(k+2)nm∑i=k(−1)k−1i+2(ik+1). |
By making use of (2.18) and (2.7), we can evaluate
G=m+1∑k=1(k+1)nm+1∑j=k(−1)k−1j+1(jk)=Hm+2−Bn,H=m∑k=0(k+2)n+1m∑i=k(−1)k−1(i+1)(i+2)(i+1k+2)=m+1∑k=2kn+1m+1∑j=k(−1)k+1j(j+1)(jk)=Bn+1−m+1∑j=11j+1=1+Bn+1−Hm+2. |
It follows consequently that
G+H=1−Bn+Bn+1, |
which coincides with the right-hand side of (2.21).
In this section, we shall first prove a binomial identity. Then it will be utilized to derive equivalent expressions for the connection coefficients Ω(m,k) and ω(m,k). These equivalent forms will be useful in proving further explicit formulae for Bernoulli numbers.
We begin with the following binomial identity.
Theorem 6. For two indeterminates x,y and m,k∈N0 with m≥k, the following algebraic identity holds:
m∑j=k(x−j)k(1+y)k(1−x+y+j)=m∑i=k{(x−i)k(1+y+m−i)k+1+(x−k)k+1(1−x+y+i)(1+y−k+i)k+1}=m∑i=k{(x−m+i−k)k(1+y−k+i)k+1+(x−k)k+1(1−x+y+i)(1+y−k+i)k+1}. |
Proof. We prove the theorem by examining the double sum
S:=m∑i=km∑j=iΛ(i,j),whereΛ(i,j):=(k+1)(x−i)k(y−i+j)k+2. |
For the given λ′j-sequence below, it is routine to check its difference
λ′j=(x−i)k(y−i+j)k+1,λ′j−λ′j+1=Λ(i,j). |
Therefore, we can manipulate S by telescoping as follows:
S=m∑i=km∑j=iΛ(i,j)=m∑i=km∑j=i{λ′j−λ′j+1}=m∑i=k{λ′i−λ′m+1}, |
which can be restated as
S=m∑i=k{(x−i)k(y)k+1−(x−i)k(1+y−i+m)k+1}. | (3.1) |
Alternatively, for another λ″i-sequence, we have
λ″i:=(x−i)k+1(1+y−i+j)k+1,λ″i−λ″i+1=(1−x+y+j)Λ(i,j). |
Hence, we can reformulate S analogously as follows:
S=m∑j=kj∑i=kΛ(i,j)=m∑j=kj∑i=kλ″i−λ″i+11−x+y+j=m∑j=kλ″k−λ″j+11−x+y+j, |
which can be rewritten explicitly
S=m∑j=k{(x−k)k+1(1−x+y+j)(1+y−k+j)k+1−(x−j−1)k+1(1−x+y+j)(y)k+1}. | (3.2) |
By relating (3.1) to (3.2), we derive the equality
m∑i=k(x−i)k(1+y−i+m)k+1+m∑j=k(x−k)k+1(1−x+y+j)(1+y−k+j)k+1=m∑i=k(x−i)k(y)k+1+m∑j=k(x−j−1)k+1(1−x+y+j)(y)k+1=m∑j=k(x−j)k(1−x+y+j)(1+y)k, |
which is equivalent to the expression in the theorem.
When x=y=0, Theorem 6 reduces to the crucial identity used by Komatsu and Pita-Ruiz [31, Eq (27)].
m∑j=km+1j+1(jk)=m∑i=k(m+1i−k)(mi)=m∑i=k(m+1m−i)(mi−k). |
From this, we deduce the equivalent expressions below
Ω(m,k)=m∑i=k(−1)km+1(m+1i−k)(mi)=m∑i=k(−i)k(1+m−i)k+1. | (3.3) |
This leads us to the following formula which reduces, for m=n, to Munch [39] (cf. Gould [24, Eq (1.8)], Quaintance and Gould [43, Eq (15.7)]).
Theorem 7 (m≥n≥1).
Bn=m∑k=1knm∑i=k(−i)k(1+m−i)k+1=m∑k=1knm∑i=k(−1)km+1(m+1i−k)(mi). |
Consider the difference
m∑k=1knm∑i=k{(1−i)k−1(2+m−i)k−(−i)k(1+m−i)k+1}=m∑k=1knm∑i=k(1−i)k−1(1+m−i)k+1(m+1)=m∑k=1knm∑i=kλi−λi+1k where λi=(1−i)k(2+m−i)k=m∑k=1(−1)k−1(mk)kn−1=0,m≥n>1. |
We infer that the formula in Theorem 7 is equivalent to the following one.
Theorem 8 (m≥n≥2).
Bn=m∑k=1knm∑i=k(−1)k−1m+1(m+1i−k)(mi−1). | (3.4) |
Its special case m=n can be found in Gould [24, Eq (1.9)], Quaintance and Gould [43, Eq (15.5)] and Shanks [45]. However, the formula produced by Komatsu and Pita–Ruiz [31, Eq (2)] is incorrect.
The last formula can be rewritten as
Bn=m∑k=1knω(m,k), | (3.5) |
where the connection coefficients are defined by
ω(m,k)=m∑i=k(1−i)k−1(2+m−i)k=m∑i=k(−1)k−1m+1(m+1i−k)(mi−1). | (3.6) |
It is obvious that the matrix of the connection coefficients
ωm:=[ω(i,j)]1≤i,j≤m |
with diagonal entries
ω(k,k)=(−1)k+1k(k+1) |
is lower triangular and invertible. It is not difficult to check that its inverse is given explicitly by
ω−1m=[(−1)j+1(ij)(2i−j+ij)]1≤i,j≤m. |
Observing further that
ω(m,k)=m−1∑j=k−1(−j)k−1(1+m−j)k, |
we can prove the following interesting lemma.
Lemma 9. The connection coefficients satisfy the properties:
● Relations between Ω(m,k) and ω(m,k)
ω(m,k)=Ω(m,k−1)−(−m)k−1k!,Ω(m,k)=ω(m,k+1)+(−m)k(k+1)!. | (3.7) |
● Recurrence relations: m,k∈N
ω(m,k)−ω(m,k−1)=(−1)k−1k(k−1)(mk−1), | (3.8) |
ω(m,k)−ω(m−1,k)=(−1)k−1m(m+1)(mk). | (3.9) |
● Equivalent expression: m,k∈N
ω(m,k)=m∑j=k(−1)k−1j(j+1)(jk). | (3.10) |
Proof. The recurrence relations (3.8) and (3.9) follow by combining (3.7) with (2.4) and (2.5). The equivalent expression displayed in (3.10) is obtained by iterating (3.9), which has already appeared in (2.7).
The connection coefficients Ω(m,k) and ω(m,k) are related to the harmonic numbers in the following manners.
Proposition 10 (Equivalent expressions: m,k∈N).
Ω(m,k)=Hm+1+k∑i=1(−1)ii(m+1i)=m∑i=k(−1)ii+1(m+1i+1), | (3.11) |
ω(m,k)=Hm+1−1+k−1∑i=1(−1)ii(i+1)(mi)=m∑i=k(−1)i−1i(i+1)(mi). | (3.12) |
Proof. By iterating the relation (2.5) k-times, we find that
Ω(m,k)=Ω(m,0)+k∑i=1(−1)ii(m+1i) |
which becomes the first expression in (3.11) since Ω(m,0)=Hm+1. The second expression in (3.11) follows by the inverse pair
Hn=n∑i=1(−1)i−1i(ni)and1n=n∑i=1(−1)i−1(ni)Hi. |
Analogously, by iterating the relation (3.8) k-times, we have that
ω(m,k)=ω(m,1)+k−1∑i=1(−1)ii(i+1)(mi), |
which gives the first expression in (3.12) since ω(m,1)=Hm+1−1. The second expression in (3.12) follows by another inverse pair
Hm+1−1=m∑i=1(−1)i−1i(i+1)(mi)and1m(m+1)=m∑i=1(−1)i−1(mi)(Hi+1−1). |
We have therefore the following four explicit formulae.
Theorem 11 (m,n∈N0).
Bn=m∑i=0(−1)ii+1(m+1i+1)i∑k=0kn,m≥n≥0; | (3.13) |
Bn=m∑i=1(−1)i−1i(i+1)(mi)i∑k=1kn,m≥n≥2; | (3.14) |
Bn=m∑i=0(−1)ii+1(m+1i+1)i+1∑k=0kn,m≥n≥2; | (3.15) |
Bn=(−1)nn!χ(m=n)n+1+m∑i=0(−1)ii+1(mi+1)i∑k=0kn,m≥n≥0. | (3.16) |
In the last line, χ stands for the logical function with χ(true)=1 and χ(false)=0. When m=n, the first identity recovers Bergmann [7] (cf. Gould [23, Eq (5)], [24, Eq (1.10)]), and the two variants (3.15) and (3.16) reduce to Gould [24, Eqs (1.11) and (1.12)]. In addition, we remark that when m>n, (3.15) is substantially the same as (3.13).
Proof. The first two identities follow directly by (3.11) and (3.12). In comparison with (3.13), the third identity (3.15) is equivalent to
m∑i=0(−1)i(m+1i+1)(i+1)n−1=m+1∑j=1(−1)j−1(m+1j)jn−1=0, |
because for m≥n>1, the order m+1 of the differences is higher than the polynomial degree n−1.
By means of the binomial relation
(n+1i+1)=(ni+1)+(ni), |
we can rewrite (3.13) as
Bn=m∑i=0(−1)ii+1(mi+1)i∑k=0kn+m∑i=0(−1)ii+1(mi)i∑k=0kn. |
Recall that the power sum ∑j−1k=0kn results in a polynomial of degree n+1 in j with the leading coefficient being equal to 1n+1. We can evaluate the second sum above in closed form as follows:
m∑i=0(−1)ii+1(mi)i∑k=0kn=(−1)mm+1m∑j=0(−1)1+m−j(m+1j)j−1∑k=0kn=(−1)mm+1Δm+1xn+1n+1|x=0=(−1)nn!n+1χ(m=n). |
This confirms identity (3.16) and completes the proof of Theorem 11.
Consider the partial fraction decomposition
(x)ℓ(1+m+x)ℓ+1=ℓ∑j=0(−1)j+ℓ1+m+x+j(ℓj)(1+m+jℓ). |
In the above equation, letting "x→−i,ℓ→k" and "x→1−i,ℓ→k−1", we have, respectively, the two equalities:
(−i)k(1+m−i)k+1=k∑j=0(−1)j+k1+m−i+j(kj)(1+m+jk),(1−i)k−1(2+m−i)k=k∑j=1(−1)j+k1+m−i+j(k−1j−1)(m+jk−1). |
Substituting them into (3.3) and (3.6), respectively, then manipulating the double sums by exchanging the summation order, we derive the following equivalent expressions in terms of harmonic numbers.
Proposition 12 (m,k∈N0).
Ω(m,k)=k∑j=0(−1)j+k(kj)(1+m+jk){H1+m−k+j−Hj},m≥k≥0;ω(m,k)=k∑j=1(−1)j+k(k−1j−1)(m+jk−1){H1+m−k+j−Hj},m≥k≥1. |
Consequently, we find two further explicit formulae involving harmonic numbers.
Theorem 13 (m,n∈N).
Bn=m∑k=1knk∑j=0(−1)j+k(kj)(1+m+jk){H1+m−k+j−Hj},m≥n≥1;Bn=m∑k=1knk∑j=1(−1)j+k(k−1j−1)(m+jk−1){H1+m−k+j−Hj},m≥n≥2. |
We are going to review, finally in this section, more summation formulae involving harmonic numbers and Stirling numbers of the second kind by intervening with an extra integer parameter m.
There exist two formulae expressing Bn in terms of harmonic numbers, that are quite different from those in Theorem 13.
Theorem 14 (m>n≥1).
Bn=m∑i=1Hii∑k=1(−1)k−1(i−1k−1)kn=m∑k=1knm∑i=k(−1)k−1(i−1k−1)Hi, | (4.1) |
Bn=2n+1m∑i=1Hii+1i∑k=1(−1)k−1(ik)kn+1=2n+1m∑k=1kn+1m∑i=k(−1)k−1(ik)Hii+1. | (4.2) |
When m=n, the second formula (4.2) recovers Gould [24, Eq (1.4)].
Proof. Recalling the generating function
∞∑i=1Hiyi=−ln(1−y)1−y, |
we can proceed with
Bn=n![xn]xex−1=n![xn]ex1−ex×−ln{1−(1−ex)}1−(1−ex)=n![xn]m∑i=1Hiex(1−ex)i−1m>n=n![xn]m∑i=1Hii∑k=1(−1)k−1(i−1k−1)ekx, |
which results in the first formula (4.1).
The second formula (4.2) is a variant of (4.1), which can be verified by making use of another generating function
∞∑i=1Hii+1yi+1=ln2(1−y)2. |
In fact, we can similarly extract the coefficient as follows:
Bn=n![xn]xex−1=n![xn]2ln2{1−(1−ex)}2x(ex−1)=−2n![xn+1]m∑i=1Hii+1(1−ex)im>n=−2n![xn+1]m∑i=1Hii+1i∑k=1(−1)k(ik)ekx=2n+1m∑i=1Hii+1i∑k=1(−1)k−1(ik)kn+1. |
Here we offer three formulae containing the Stirling numbers of the second kind, extending those by Shirai [46, Theorem 6 and Corollary 7] (cf. Morrow [38, Eq (1.5)]).
Theorem 15 (λ≠0 and m,n∈N with m≥n≥0).
Bn=m∑j=0(−1)j(m+1j+1)(n+jj)S2(n+j,j), | (4.3) |
Bn=nn−1m+1∑j=1(−1)j(m+2j+1)(n+j−1j)S2(n+j,j), | (4.4) |
Bn=nn−1m+2∑j=1(−1)jλ+j+1λ(m+3j+1)(n+j−1j)S2(n+j,j). | (4.5) |
When m=n, the first formula (4.3) can be found in Gould [23, Eq (11)], [24, Eq (1.5)] (see also Luo [33], Quaintance and Gould [43, Eq (15.10)], Shirai [46, Theorem 6]). Two variants (4.4) and (4.5) with m=n and λ=n+23 are due to Shirai [46, Corollary 7].
Proof. Recall the exponential generating function
(ex−1)jj!=∞∑n=0xn+j(n+j)!S2(n+j,j). |
We can extract the coefficient
Bn=n![xn]xex−1=n![xn]11−{1−ex−1x}=n![xn]m∑i=0{1−ex−1x}im≥n=n!m∑i=0i∑j=0(−1)j(ij)[xn+j](ex−1)j=n!m∑j=0(−1)j[xn+j](ex−1)jm∑i=j(ij). |
Evaluating the last sum
m∑i=j(ij)=(m+1j+1), |
we get the expression
Bn=n!m∑j=0(−1)j(m+1j+1)[xn+j](ex−1)j=m∑j=0(−1)j(m+1j+1)(n+jj)S2(n+j,j), |
which proves the first formula (4.3).
The second sum (4.4) can be evaluated as follows:
m+1∑j=1(−1)jnn−1(m+2j+1)(n+j−1j)S2(n+j,j)=n![xn]m+1∑j=1(−1)j(m+2j+1)n+jn−1(ex−1x)j=n![xn]m+1∑j=1(−1)j(m+2j+1)(1+j+1n−1)(ex−1x)j=Bn+n!(m+2)n−1[xn]m+1∑j=0(−1)j(m+1j)(ex−1x)j=Bn+n!(m+2)n−1[xn](1−ex−1x)m+1, |
because the last coefficient vanishes, thanks to the fact that m+1>n and the constant term of (1−ex−1x) is equal to zero.
Finally, writing
λ+j+1λ=1+j+1λ, |
we can reformulate the third sum in (4.5) as
m+2∑j=1(−1)jn(λ+j+1)(n−1)λ(m+3j+1)(n+j−1j)S2(n+j,j)=nn−1m+2∑j=1(−1)j(m+3j+1)(n+j−1j)S2(n+j,j)+n(m+3)(n−1)λm+2∑j=1(−1)j(m+2j)(n+j−1j)S2(n+j,j). |
The first term on the right equals Bn in view of (4.4). The second term on the right vanishes again, which is justified analogously as follows:
m+2∑j=1(−1)j(m+2j)(n+j−1j)S2(n+j,j)=(n−1)!m+2∑j=1(−1)j(n+j)(m+2j)[xn](ex−1x)j=n(n−1)![xn]m+2∑j=0(−1)j(m+2j)(ex−1x)j+(m+2)(n−1)![xn]m+2∑j=1(−1)j(m+1j−1)(ex−1x)j=n(n−1)m+2−(m+2)(n−1)m+1(ex−1x). |
Theorem 16 (m≥n≥2).
Bn=n2n−1m∑i=1(−1)i−1i!2i+1S2(n−1,i) | (4.6) |
=n2n−1m∑k=1kn−1m∑i=k(−1)k−12i+1(ik),Bn=n2n−1m∑k=1kn−1m∑i=k(−1)k−12i(i−1k−1). | (4.7) |
The special case m=n−1 of the first formula (4.6) was found by Worptzky [50] (see also Carlitz [9, Eq (6)], Garabedian [21], Gould [23, Eq (2)], [24, Eq (3.22)]). Instead, the variant (4.7) reduces, for m=n, to Carlitz [9, Eq (5)].
Proof. By making use of the algebraic identity
F(x):={2xe2x−1−1}−{xex−1−1}=−x1+ex, |
we can extract the coefficient
2n−1n!Bn=[xn]F(x)=[xn]−x1+ex=−[xn−1]12−(1−ex)=−[xn−1]m∑i=1(−1)i2i+1(ex−1)i1+m≥n>0=m∑i=1(−1)i−12i+1i!(n−1)!S2(n−1,i), |
which proves the first identity (4.6). Analogously, we have
2n−1n!Bn=[xn]F(x)=[xn−1]−11+ex=[xn−1]{12(1−1−ex2)−11−1−ex2}=m∑i=1(−1)i−12i[xn−1]{(ex−1)i+(ex−1)i−1}m≥n−1=m∑i=1(−1)i−12i(n−1)!{i!S2(n−1,i)+(i−1)!S2(n−1,i−1)}. |
By invoking the expression
S2(n,i)=i∑j=1(−1)i+ji!(ij)jn, |
we can further manipulate the last sum
2n−1nBn=m∑i=1(−1)k−12ii∑k=1{(ik)−(i−1k)}kn−1=m∑i=1(−1)k−12ii∑k=1(i−1k−1)kn−1=m∑i=1(−1)k−1i2ii∑k=1(ik)kn. |
This confirms the second formula (4.7).
The formulae in Theorem 16 imply the following results, that recover, for m=n−1 and m=n, the two formulae due to Todorov [48, Eqs (8) and (9)] (see also Gould [24, Eq (3.23)] for the former one).
Theorem 17 (m≥n≥2).
Bn=n2m+1(2n−1)m∑j=0j∑k=0(−1)k−1(m+1j+1)kn−1, | (4.8) |
Bn=n2m(2n−1)m∑j=1j∑k=1(−1)k−1(mj)kn−1. | (4.9) |
Proof. By means of the binomial transform
m∑i=k(ik)2m−i=m∑i=k(ik)m∑j=i(m−ij−i)=m∑j=kj∑i=k(ik)(m−im−j)=m∑j=k(m+1j−k)=m∑j=k(m+1j+1), |
we can reformulate the sum in (4.6) as
Bn=n2n−1m∑k=0(−1)k−1kn−12m+1m∑i=k2m+12i+1(ik)=n2n−1m∑k=0(−1)k−1kn−12m+1m∑j=k(m+1j+1)=n2m+1(2n−1)m∑j=0j∑k=0(−1)k−1(m+1j+1)kn−1, |
which confirms the first identity (4.8). The second one (4.8) can be done analogously by applying another binomial transform
m∑i=k(i−1k−1)2m−i=m∑i=k(i−1k−1)m∑j=i(m−ij−i)=m∑j=kj∑i=k(i−1k−1)(m−im−j)=m∑j=k(mj−k)=m∑j=k(mj) |
to (4.6) and then manipulate the double sum as follows:
Bn=n2n−1n∑k=1knn∑i=k(−1)k−1i2i(ik)=n2n−1m∑k=1kn−1(−1)k−12mm∑i=k(i−1k−1)2m−i=n2n−1m∑k=1kn−1(−1)k−12mm∑j=k(mj)=n2m(2n−1)m∑j=1j∑k=1(−1)k−1(mj)kn−1. |
Nadia Na Li: Computation, Writing, and Editing; Wenchang Chu: Original draft, Review, and Supervision. Both authors have read and agreed to the published version of the manuscript.
The authors express their sincere gratitude to the three reviewers for the careful reading, critical comments, and valuable suggestions that contributed significantly to improving the manuscript during revision.
Prof. Wenchang Chu is the Guest Editor of special issue "Combinatorial Analysis and Mathematical Constants" for AIMS Mathematics. Prof. Wenchang Chu was not involved in the editorial review and the decision to publish this article. The authors declare no conflicts of interest.
[1] |
Higgins, K., Huscroft-D'Angelo, J. and Crawford, L., Effects of Technology in Mathematics on Achievement, Motivation, and Attitude: A Meta-Analysis. Journal of Educational Computing Research, 2019, 57(2): 283–319. https://doi.org/10.1177/0735633117748416 doi: 10.1177/0735633117748416
![]() |
[2] |
Bai H., Pan W., Hirumi A., and Kebritchi M., Assessing the effectiveness of a 3-D instructional game on improving mathematics achievement and motivation of middle school students. British Journal of Educational Technology, 2012, 43: 993–1003. https://doi:10.1111/j.1467-8535.2011.01269.x. doi: 10.1111/j.1467-8535.2011.01269.x
![]() |
[3] |
Mertala, P., Teachers' beliefs about technology integration in early childhood education: A meta-ethnographical synthesis of qualitative research. Computers in Human Behavior, 2019,101: 334–349. https://doi.org/10.1016/j.chb.2019.08.003 doi: 10.1016/j.chb.2019.08.003
![]() |
[4] | Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S.V., Giannoutsou, N., Cachia, R., et al., Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review. Education and information technologies, 2023, 28(6): 6695–6726. https://doi.org/10.1007/s10639-022-11431-8 |
[5] |
Hennessy, S. and Dunham, P., Equity Issues Affecting Mathematics Learning Using ICT. Research in Mathematics Education, 2002, 4(1): 145–165. https://doi:10.1080/14794800008520107. doi: 10.1080/14794800008520107
![]() |
[6] | Layco, E.P., Mathematics Education 4.0: Teachers' Competence and Skills' Readiness in Facing the Impact of Industry 4.0 on Education. Journal of Positive School Psychology, 2022, 6(2): 1233-1259. |
[7] |
Saal, P.E. and Graham, M.A., Comparing the Use of Educational Technology in Mathematics Education between South African and German Schools. Sustainability, 2023, 15(6): 4798-4798. https://doi.org/10.3390/su15064798 doi: 10.3390/su15064798
![]() |
[8] |
Hwang, S., Flavin, E. and Lee, J.E., Exploring research trends of technology use in mathematics education: A scoping review using topic modeling. Educ Inf Technol, 2023, 28: 10753–10780. https://doi.org/10.1007/s10639-023-11603-0 doi: 10.1007/s10639-023-11603-0
![]() |
[9] |
Cullen, C.J. and Hertel, J.T., Improving our Criticism of Technology in Mathematics Education. Mathematics Teacher: Learning and Teaching PK–12, 2023,116(5): 314-321. https://doi.org/10.5951/MTLT.2023.0004 doi: 10.5951/MTLT.2023.0004
![]() |
[10] |
Naidoo, J., Technology-Based Pedagogy for Mathematics Education in South Africa: Sustainable Development of Mathematics Education Post COVID-19. Sustainability, 2022, 14(17): 10735-10735. https://doi.org/10.3390/su141710735 doi: 10.3390/su141710735
![]() |
[11] | Nurlaili, D.A., Ananda, A., Wahyuni, Y., Gistituati, N. and Rusdinal, Comparison of Mathematics Learning Curriculum in Singapore, Japan, Malaysia, and Indonesia. International journal of research publications, 2022,103(1): 168-178. https://doi:10.47119/IJRP1001031620223398" target="_blank">10.47119/IJRP1001031620223398">https://doi:10.47119/IJRP1001031620223398 |
[12] |
Jin, S.J., Abdullah, A.H., Mokhtar, M. and Abdul Kohar, U.H., The Potential of Big Data Application in Mathematics Education in Malaysia. Sustainability, 2022, 14 (21): 13725-13725. https://doi.org/10.3390/su142113725 doi: 10.3390/su142113725
![]() |
[13] |
Prabowo, A., Suparman, S., Li, C.S., Janan, D. and Damayanti, T.D., The effect of reading literacy to mathematics comprehension of elementary school students in Indonesia and Malaysia. International Journal of Evaluation and Research in Education (IJERE), 2023, 12(1): 546-554. http://doi.org/10.11591/ijere.v12i1.25714 doi: 10.11591/ijere.v12i1.25714
![]() |
[14] | Eseryel, D., Law, V., Ifenthaler, D., Ge, X. and Miller, R., An investigation of the interrelationships between motivation, engagement, and complex problem solving in game-based learning. Journal of Educational Technology & Society, 2014, 17(1): 42–53. |
[15] |
Al-Abdullatif, A.M. and Gameil, A.A., The Effect of Digital Technology Integration on Students' Academic Performance through Project-Based Learning in an E-learning Environment. International Journal of Emerging Technologies in Learning (iJET), 2021, 16(11): 189–210. https://doi.org/10.3991/ijet.v16i11.19421 doi: 10.3991/ijet.v16i11.19421
![]() |
[16] |
Young, J., Technology-enhanced mathematics instruction: A second-order meta-analysis of 30 years of research. Educational Research Review, 2017, 22: 19–33. https://doi.org/10.1016/j.edurev.2017.07.001 doi: 10.1016/j.edurev.2017.07.001
![]() |
[17] | Roy, S., Nakshatri, N.S. and Goldwasser, D., Towards Few-Shot Identification of Morality Frames using In-Context Learnin. arXiv preprint arXiv: 2302.02029, 2023. |
[18] |
Wernaart, B., Developing a roadmap for the moral programming of smart technology. Technology in Society, 2021, 64: 101466. https://doi:10.1016/j.techsoc.2020.101466 doi: 10.1016/j.techsoc.2020.101466
![]() |
[19] | Qian, M., Laguardia, J. and Qian, D., Morality Beyond the Lines: Detecting Moral Sentiment Using AI-Generated Synthetic Context. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2021. Lecture Notes in Computer Science, 2021, 12797: 84-94. Springer, Cham. https://doi.org/10.1007/978-3-030-77772-2_6 |
[20] | Inutsuka, Y., A Moral Ground for Technology: Heidegger, Postphenomenology, and Watsuji. In: Lennerfors, T., Murata, K. (eds) Tetsugaku Companion to Japanese Ethics and Technology. Tetsugaku Companions to Japanese Philosophy, 2019, 1. Springer, Cham. https://doi.org/10.1007/978-3-319-59027-1_3 |
[21] | Noorman, M., Computing and moral responsibility. Stanford Encyclopedia of Philosophy, 2018. |
[22] | Xia, L., Semirumi, D.T. and Rezaei, R., A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy. Sustainable Cities and Society, 2023, 98: 104771. |
[23] | Hiep, P.M., Tien, N.H., Dana, L.P., Kuc, B.R., Van Tien, N. and Ha, V.X., Enhancing social responsibility and sustainability in real estate industry. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2021, 12(14): 4999–5013. |
[24] | Maass, K., Geiger, V., Ariza, M.R. and Goos, M., The role of mathematics in interdisciplinary STEM education. Zdm, 2019, 51: 869–884. |
[25] | Kılıç, P., Ahlakındinitemeli. (The religious basis of morality) (7th Edition), Ankara: Türkiye Diyanet Vakfı Yayınları, 2012. |
[26] | Forlini, S., Technology and Morality: The Stuff of Steampunk. Neo-Victorian Studies, 2010, 3(1): 72–98. |
[27] |
Kim, S., Baek, T. and Childs, M.L., Green Message Framing Effects on Social Media Engagement: Moderating Role of Morality Traits. International Textile and Apparel Association Annual Conference Proceedings, 2022, 78(1). https://doi.org/10.31274/itaa.13389 doi: 10.31274/itaa.13389
![]() |
[28] | Lim, G.W., Mediating Role of Perceived Critical Selection and Moderating Role of Perceived Performance in the Relationship between Perceived Morality and Spectating Intention in the Future: National Team Selection of School Violence Perpetrator. Han'gug seu'pocheu san'eob gyeong'yeong haghoeji, 2022, 27 (6): 37–54. |
[29] |
Huber, S., Sattler, S. and Guido, M., Mechanisms of Perceived Social Norms: The Mediating and Moderating Role of Morality and Outcome Expectations on Prescription Drug Misuse in the Working Population. Deviant Behavior, 2023, 44(3): 359–380. https://doi.org/10.1080/01639625.2022.2046981 doi: 10.1080/01639625.2022.2046981
![]() |
[30] | Marlina, L., Maifizar, A., Rahmadani, I., Maulina, R., Rahmazaniati, L., Husen, T.I., et al., The Role of Mediating Leadership Morality on the Influence of Organizational Culture on the Internal Control System. Proceedings of the First International Conference on Science, Technology, Engineering and Industrial Revolution (ICSTEIR 2020), 2021,293–299. https://doi/10.2991/assehr.k.210312.047 |
[31] | McPherson, A., Mackay, L., Kunkel, J. and Duncan, S., Physical activity, cognition and academic performance: an analysis of mediating and confounding relationships in primary school children. BMC public health, 2018, 18: 1–9. |
[32] | Panisoara, I.O., Lazar, I., Panisoara, G., Chirca, R. and Ursu, A.S., Motivation and continuance intention towards online instruction among teachers during the COVID-19 pandemic: The mediating effect of burnout and technostress. International Journal of Environmental Research and Public Health, 2020, 17(21): 8002. |
[33] | Sarbini, Challenging Ethics and Moral Education in The Age of Technology Among Student in Bandung. Edukasi Islami: Jurnal Pendidikan Islam, 2023, 12(3): 1837–1850. https://doi/10.30868/ei.v12i03.4215 |
[34] | Huda, M., Siregar, M., Ramlan, K.S.M., Teh, H.S., Jamsari, E.A., Rahman, S.K.A., et al., From live interaction to virtual interaction: Addressing moral engagement in the digital era. Journal of Theoretical and Applied Information Technology, 2017, 95(19): 4964–4972. |
[35] |
Fakhrunisa, F., Comparing mathematics teachers' technological pedagogical knowledge (TPK) and their readiness in organizing online learning. Journal of Physics: Conference Series, 2021, 1806(1): 012074. https://doi/10.1088/1742-6596/1806/1/012074 doi: 10.1088/1742-6596/1806/1/012074
![]() |
[36] |
Zulkipli, N.H. and Musa, M., Education 4.0: An Analysis of Teachers‟ Attitude towards the Use of Technology in Teaching Mathematics. International Journal of Information and Education Technology, 2022, 12(7): 609–614. https://doi/10.18178/ijiet.2022.12.7.1660 doi: 10.18178/ijiet.2022.12.7.1660
![]() |
[37] |
Faizah, H. and Sugandi, E., Analysis of The Elementary School Teachers' Ability to Use Technology on The Mathematics Online Learning. Indonesian journal of science and mathematics education, 2022, 5(1): 86–95. https://doi.org/10.24042/ijsme.v5i1.11021 doi: 10.24042/ijsme.v5i1.11021
![]() |
[38] |
Juarez, M.J.A., Marasigan, N.V., Natanauan, S.A.P. and Trinidad, G.M., Readiness in Mathematics Flipped Classroom of Filipino Secondary School Teachers. International Economic Review, 2018, 1(2): 95–103. https://doi.org/10.30560/ier.v1n2p95 doi: 10.30560/ier.v1n2p95
![]() |
[39] | Aliyu, J., Osman, S., Daud, M.F. and Kumar, J.A., Mathematics Teachers' Pedagogy through Technology: A Systematic Literature Review. International Journal of Learning, Teaching and Educational Research, 2021, 20(1): 323–341. https://doi.org/10.26803/ijlter.20.1.18 |
[40] | Rosmiati, R., Sembiring, B., Rahim, A., Pudjaningsih, W. and Hutabarat, Z.S., How is the Readiness of Students to Become Teachers in the Industrial Revolution Era 4.0? Jurnal kependidikan, 2022, 8(4): 831–831. https://doi.org/10.33394/jk.v8i4.6248 |
[41] |
Nurjanah, I., Ana, A. and Masek, A., Systematic Literature Review: Work readiness of vocational high school graduates in facing the industrial 4.0 era. Jurnal Pendidikan Teknologi dan Kejuruan, 2022, 28(2): 139–153. https://doi.org/10.21831/jptk.v28i2.48552 doi: 10.21831/jptk.v28i2.48552
![]() |
[42] | Tanjung, B.N. and Elfrianto, The Effects of Academic Experience, Organizational Commitment and Motivation on Work Readiness in the Era of the Industrial Revolution 4.0. Webology, 2022, 19(1): 2695–2707. https://doi/10.14704/WEB/V19I1/WEB19179 |
[43] | Sumiwi, A.R.E., Prabowo, Y.S., Sembodo, J., Putri, A.S. and Prasetyo, E., The Church's Readiness for the Industrial Revolution 4.0. Proceedings of the International Conference on Theology, Humanities, and Christian Education (ICONTHCE 2021), 2022,699: 160–163. https://doi/10.2991/assehr.k.220702.037 |
[44] |
Octavia, V., The Levels of Student Readiness in Facing the World of Work in the 4.0 Industrial Revolution Era. Jurnal Pembangunan Sosial, 2022, 5(1): 87–98. https://doi.org/10.15575/jt.v5i1.16074 doi: 10.15575/jt.v5i1.16074
![]() |
[45] | Maryanti, N., Rohana, R. and Kristiawan, M., The principal's strategy in preparing students ready to face the industrial revolution 4.0. International Journal of Educational Review, 2020, 2(1): 54–69. |
[46] | Creswell, J.W. and Creswell, J.D., Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, Sage, Los Angeles, 2018. |
[47] | Kline, R.B., Principles and practice of structural equation modeling (2nd ed.), Guilford Press, 2005. |
[48] | Awang, Z., A Handbook on SEM Structural Equation Modelling: SEM Using AMOS Graphic (5th ed.), Kota Baru: Universiti Teknologi Mara Kelantan, 2012. |
[49] | Verbeek, P.P., Materializing Morality: Design Ethics and Technological Mediation. Science, Technology, & Human Values, 2006, 31(3): 361–380. https://doi.org/10.1177/0162243905285847 |
[50] | Muntersbjorn, M., Morality and Mathematics. In: Larvor, B. (eds) Mathematical Cultures: The London Meeting 2012-2014, 2016,387-108. https://doi.org/10.1007/978-3-319-28582-5_22 |
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