An Empirical Investigation of Taiwanese Teachers’ Technological
Pedagogical Content Knowledge in an Initiative to Adopt Digitization
during Covid-19 Pandemic
DAHUI DONG, MENG-LIN CHEN
Department of Translation and Interpretation Studies
Chang Jung Christian University
No.1, Changda Rd., Gueiren District, Tainan City 711301
TAIWAN (ROC)
Abstract: - The COVID-19 pandemic presents a new opportunity to accelerate the integration of digital and
information technology with the concept of technology teaching content knowledge (TPACK) in education.
The Ministry of Education of Taiwan has introduced the digitization of humanities and social sciences (H&SS)
courses since 2017, and 189 projects in three categories have been chosen and subsidized by 2022. This study
coded and categorized the curriculum content of these projects in accordance with the TPACK framework and
used data mining techniques to investigate the TPACK of teachers involved in the implementation of these
subsidized digital H&SS courses. By counting technical knowledge (TK), content-knowledge (CK), and
technology-content-pedagogy knowledge (TCPK) in digital H&SS courses, we show that before the pandemic,
humanities courses emphasized digital technology content with pedagogy (TCP), pedagogy (P), and technology
with content (TC), while during the pandemic they focused more on content (C). Social sciences courses shifted
from stressing technological pedagogy (TP) and C before the pandemic to increased emphasis on TC during the
pandemic. Overall, teachers prioritized P, TCP, and TC across disciplines. Additional findings include
differences in TPACK focus between fields, thorough TPACK descriptions in social sciences courses, and
emphasis on technology (T) in scientific methods courses both before and during the pandemic. Analysis of P,
TC, and TCP topics revealed gaps in skills and technology-specific pedagogy, thus shedding light on the
strategies for developing digital teaching competencies of university teachers and how to develop them. The
study also provides recommendations for future implementation of digital H&SS programs.
Key-Words: - TPACK, Digital Humanities, Content Analysis, Data Mining, Covid-19, Online learning, Remote
teaching, Educational technology
Received: July 25, 2022. Revised: June 8, 2023. Accepted: July 9, 2023. Published: August 11, 2023.
1 Introduction
Informatization and digitization in Taiwan are being
translated into practice in a wide variety of ways
with its impact being experienced by all spheres and
levels of society including higher education, [1]. But
unlike traditional technologies, the majority of
digital technologies were not developed with
education in mind. For instance, software like
digital office and online communication, which are
now more common in educational institutions, were
initially designed for commercial use and are
characterized by the convenience of use, instability,
and opaque functionality. As a result, it can be
challenging to apply commercial software
applications in educational situations, and teachers
frequently need to rethink when, how, and why to
use them, [2].
In addition, the past three years or so have
witnessed the large-scale implementation of
Emergency Remote Teaching (ERT) in many
countries because of Covid-19. However,
implementing ERT has met a number of difficulties.
In, [3], the authors found that online teaching
requires the use of a strong instructional design and
some preparation time and that in any format or
situation (including online, distance, and hybrid),
teachers are frequently unprepared to develop
pedagogies that optimize the use of technology and
thus require substantial assistance. Similarly in, [4],
the authors discovered that due to a lack of
technological resources and preparation time, many
teachers reported having trouble accessing,
maintaining, and analyzing materials for distant
students during ERT. Scholars contend that in an era
of tremendous development in hardware coverage,
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the primary cause for this problem is not hardware,
but rather the necessity to successfully integrate
digital technology with everyday teaching and
learning in schools, and that instructors play a
crucial role in this process, [5], [6]. It has been
found that many teachers, particularly those in the
H&SS fields, lack theoretical frameworks to guide
them in this area, and the majority of training for
teachers in digital technology skills has neglected
the "redesign" ability to effectively integrate
technology in authentic teaching and learning
contexts, [7], [8], [9]. Although some studies on the
implementation of ERT during the Covid-19 call for
educational institutions to think about how to
improve the relevance, applicability, and
responsiveness of the curriculum to ensure the
ability to continue to provide education in future
disasters, epidemics, and crises, [10], [11], [12], few
have looked at the development or adaption of
teachers’ TPACK in response to the pandemic.
This empirical study makes important
contributions to the field of digital humanities. It
provides much-needed evidence on how teachers are
integrating technology in digital humanities courses,
specifically their TPACK (technological
pedagogical content knowledge), based on an
analysis of a substantial dataset of 189-course
syllabi across disciplines in Taiwan. The
comparative analysis of TPACK focus before and
during the COVID-19 pandemic offers timely
insights into how digital humanities teaching is
evolving and adapting in response to remote
instruction. This study calls attention to gaps in
digital pedagogy that need to be addressed through
continuous teacher training and support in
developing TPACK. It also expands the literature on
technology integration in digital humanities, which
has predominantly focused on STEM disciplines
until now. By investigating TPACK theory and
framework in the context of digital humanities, this
study's findings have important implications for
instructional design, teacher education, and
advancing digital pedagogy in the field.
2 Literature Review
2.1 TPACK Theory
Based on Shulman’s PCK concept, [13], in, [14], the
authors proposed the Technological Pedagogical
Content Knowledge (TPACK) framework, which
consists of seven elements: Technology Knowledge
(hereafter TK), Pedagogical Knowledge (PK),
Content Knowledge (CK), Technological
Pedagogical Content Knowledge (TPK), and
Technological Content. In, [14], the authors note
that if teachers are to use technology effectively for
teaching and learning, they must have a clear
understanding of where, how, and why information
technology is integrated, and they must have a deep
understanding of the relationship between IT
technology, the subject content being taught, and the
pedagogy. Later, in, [15], the author refined this
framework using conceptual analysis, arguing that
TPACK is the knowledge of the interaction between
technology, pedagogy, and subject content in the
context of instructional strategies and subject matter
representations and that it requires teachers to know
how to use emerging technologies to align subject
matter activities with subject matter representations.
Based on their own empirical research, [16], also
explicitly critique from an epistemological
standpoint the integrative view of TPACK (overlay
view), which assumes that the growth of a certain
type of knowledge base (technical knowledge,
pedagogical knowledge, or content knowledge)
occurs spontaneously; according to, [16], the
authors view TPACK as a distinct form of
knowledge that is derived from other knowledge
bases and can be developed.
2.2 TPACK Studies in the Humanities and
Social Sciences
The TPACK framework provides a theoretical
foundation for research on the IT integration
competencies of instructors. Since 2005, a great
number of related studies in the field of educational
technology have been published. Some studies have
focused on the overall effectiveness of teachers’
instructional programs as well as the development
and changes in teachers’ TPACK, as well as topics
such as the measurement of instructors’ TPACK
levels and measurement instruments, [17], [18].
Numerous studies have used the TPACK theoretical
framework as a guide to investigate why IT and
topic integration should be undertaken in actual
subject teaching in order to raise teachers’
understanding of IT and curriculum integration in
practice, [3], [4], [19], [20], [21], [22]. Through a
follow-up study of 13 pre-service high school
mathematics teachers who participated in teacher
training activities, and were guided by the TPACK
theoretical framework, according to, [22], the
authors found that pre-service mathematics teachers
could effectively apply interactive whiteboards in
teaching mathematics courses and improve their
TPACK knowledge.
Moreover, some researchers have investigated
the developmental status of TPACK from the
standpoint of TPACK when teachers employ
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information technology or digital technology in their
actual teaching, [2], [23], [24], [25], [26], [27], [28].
In, [2], the authors, for instance, selected pre-service
teachers for their study and asked them to complete
three elementary school teaching tasks related to
technology applications. They then pre-tested and
post-tested the pre-service teachers who participated
in the tasks using an open-ended questionnaire to
determine changes in their TPACK knowledge
levels. Their research revealed that these preservice
teachers’ use of teaching methods based on content-
knowledge (CK) and general pedagogical
knowledge (PK) grew dramatically, however
teaching methods linked to general technical
knowledge (TK) remained unchanged. According
to, [29], [30], the authors conducted several case
studies on the creation of TPACK in a professional
development program for teachers learning to utilize
spreadsheets in the classroom. In, [31], [32], [33],
the authors reported that more case studies are
ongoing to the present day.
Many H&SS TPACK studies have concentrated
on teacher education and pre-service education,
[31], [34], [35], [36]. Recent research has identified
gaps in technical knowledge and digital literacy
among humanities and social science teachers,
including limited coding, data, and computational
skills compared to those in technical fields, [37],
[38], [39], [40]. In response to digital technology
integration, it was determined that the traditional
TPACK framework requires a complementary
technology solution due to the limited time typically
allocated to traditional teacher education programs
and one-time ICT training sessions. Since traditional
face-to-face learning experiences are found to be
insufficient to provide sustained TPACK
development for teachers or pre-service teachers,
according to, [41], the authors constructed e-TPCK,
a framework used by teacher educators and
instructors for continual TPACK improvement in e-
learning contexts. In, [23], the authors reported
interesting research among the very few language-
specific TPACK investigations. It looks at a case
where an English as a Foreign Language (EFL)
instructor used Telegram Bot in the classroom and
demonstrates how the teacher’s TK, PK, and CK
were successfully transformed into a TPACK model
using a homemade teaching software application.
Although these studies offer new insights into the
TPACK knowledge base of instructors teaching
H&SS courses, they are all small-scale case studies,
the results of which have not yet been sufficiently
tested. This study evaluates the TPACK levels of
teachers implementing digital technologies in a wide
collection of courses; the findings will provide fresh
insights for enhancing the TPACK levels of digital
H&SS teachers.
According to, [42], the authors suggest that it
may be more helpful to explore successful
pedagogical approaches using accessible digital
tools to inform teachers’ search for effective ways to
gain the knowledge and skills essential to making
pedagogical judgments for technology-enhanced
teaching and learning. In this study, we have
employed a content analysis methodology to
examine in depth the descriptions of curriculum
design provided by instructors of successful digital
H&SS courses in Taiwan with special attention paid
to the practice before and during the Covid-19
pandemic. In, [43], [44], [45], the authors reported
that other studies utilizing observations, surveys,
and analysis of course materials have revealed the
need to improve teacher digital literacy in emerging
tech areas like programming, working with data,
and computational tools. This study has addressed
the following questions: What TPACK knowledge
sets do Taiwanese teachers display in their
instructional design process for digital H&SS
courses, are there differences between the sets
before and during the Covid-19 era, and do these
knowledge sets vary by course type? The responses
to these two questions can provide insights and
recommendations for enhancing the TPACK level
of teachers to create better digital H&SS courses as
well as to ensure the ability to continue to provide
education in future disasters, epidemics, and crises.
This large-scale empirical analysis of 189 digital
humanities courses helps fill the gap in
understanding TPACK and technology integration
specifically in the context of digital humanities
instruction, extending the small-scale case studies
that currently dominate the literature.
2.3 A Summary of the Digital Humanities
Program in Taiwan
Taiwan has limited resources for the development of
humanities and social sciences. In 2017, the
Ministry of Education commissioned a national
university, National Chengchi University, to set up
the Digital Humanities and Social Sciences
Teaching Resource Center, [46], to implement a
MOE Talent Cultivation Project for digital
humanities and social sciences. The Center serves as
a resource provider to assist Taiwanese universities
in developing their own distinctive digital
humanities curricula and forming a community of
educators. In the previous five years, more than 600
scholars and specialists have designed and stored a
total of 189 digital humanities courses, in which at
least 600 teachers and 12,000 students have
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participated. Because higher education in Taiwan
faced Covid-19 in the latter 3 years of this project,
as did higher education worldwide, these curricula
provided us with a very good window to study the
development of TPACK among teachers before and
during the Covid-19 epidemic. The program is
separated into five sub-projects: "Program
Overview," "International Symposium (WEDHIA),"
"Workshops and Presentations," "Big Data Student
Competition," and "Special Course Interviews," and
published on a single platform, [47]. Since this
national project’s information is in Chinese, it has
received little international attention; therefore, one
of the purposes of this study is to increase the
visibility of these digitalized H&SS courses and
provide the TPACK research community with
useful information about their pedagogy.
In summary, the literature reveals several gaps
and issues to be addressed. Prior TPACK research is
predominantly based on small-scale qualitative
studies, lacking large-scale empirical evidence. The
context is largely limited to STEM classrooms, with
minimal focus on digital humanities. And studies
comparing TPACK focus before and after the
adoption of remote teaching are scarce. This study
aims to address these gaps by providing a robust
quantitative analysis of TPACK knowledge and
integration in digital humanities courses, analyzing
a dataset of 189-course syllabi in the Taiwanese
context before and during the Covid-19 pandemic.
3 Research Methods
The goal of this study was to determine what
instructional design considerations instructors of
digital H&SS courses prioritize. We analyzed the
curriculum design of TCDH-funded programs using
content analysis to establish which digital
technology aspects were utilized in the curriculum
development and how they were implemented.
Currently, researchers employ two primary types of
evaluation methodologies: quantitative methods
such as self-assessment and qualitative methods
such as classroom observation, interviews, and
discourse analysis, [48]. In, [49], the authors
employed a simple self-assessment scale to
document the changes and development of
instructors’ TPACK during the implementation of
the teacher education curriculum. In another study,
according to, [8], the authors recorded instructors’
talks in educational programs and categorized
discourse statistics according to the TPACK
framework, thereby demonstrating the process of
teachers’ TPACK level improvement. Since this
study was conducted on a collection of digital
humanities courses, which required the analysis of a
vast amount of textual information, a content
analysis approach of data mining was adopted.
3.1 Dataset
Our empirical research was focused on the TCDH
resource center’s funded digital H&SS courses.
These courses spanned three categories: the
humanities, the social sciences, and the natural
sciences and methodologies. Between 2017 and
2021, the TCDH resource center funded 189 such
courses. The courses were chosen by a team of
specialists from the center and, as a result,
represented reasonably advanced implementations
of digital H&SS courses in Taiwan. We analyzed all
189-course syllabi to understand the TPACK
characteristics of the instructors of these courses.
3.2 Instruments
In, [15], the study proposes that content analysis is a
technique for drawing conclusions by carefully and
objectively analyzing the distinctive characteristics
of information. Typically, the textual content is
unstructured, making it both time-consuming and
challenging to extract significant information.
However, tools such as QDA Miner and Wordstat
are created expressly for analyzing textual
information and permit the rigorous investigation of
vast quantities of textual data. As the collected texts
were in traditional Chinese, this study first used the
CKIP word disambiguation system, [50], for word
disambiguation. Then, we coded the course
descriptions of these grant projects using QDA
Miner. As shown in Table 1, we constructed the
coding rules based on the TPACK idea outlined by,
[14], with reference to research on TPACK concept
refinement, [15]. Two researchers coded the data
back-to-back into 7 categories: T, P, C, TP, TC, PC,
and TPCN. When there was disagreement, the final
coding results were determined by reaching a
consensus.
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Table 1. Coding Rules
Codes
Coding Description
Examples
C
Only H&SS knowledge is
involved in the discourse
content.
There are three
ways to mine
data.
P
The discourse content relates
only to general pedagogical
knowledge.
Let students
understand the
application of
Python.
T
The course content description
only involves digital
information technology
knowledge.
We will use
PPT, and ...
TC
The course content description
involves the connection and
interaction between
information technology (T) and
subject knowledge (C).
We use sketch
boards to draw
an image.
TP
The course content description
involves the connection and
interaction between
information technology (T) and
pedagogical knowledge (P).
We added
images to the
introduction
session to get
students’
attention.
CP
The course content description
involves the connection and
interaction between
mathematical subject
knowledge (C) and
pedagogical knowledge (P).
We can use it in
life.
TCP
The course content description
involves the connection and
interaction of subject
knowledge (C), information
technology knowledge (T), and
pedagogical knowledge (P).
We can use
drawing
software in
Mona Lisa
Table 2 shows the total number of codes and
their percentages in all codes following our coding
process, as well as the frequency and percentage
with which each code appears in the course
descriptions of all 189 courses.
Table 2. Summary of Codes
Count
% Codes
Cases
% Cases
25
2.9%
22
11.6%
424
49.4%
158
83.6%
18
2.1%
15
7.9%
16
1.9%
15
7.9%
122
14.2%
99
52.4%
20
2.3%
16
8.5%
233
27.2%
160
84.7%
All coded data were loaded into the application
Wordstat, a content analysis tool, to develop
subjects based on each code, i.e. C, P, T, CP, TC,
TP, and TCP. Wordstat was used to examine the
frequency of the words and phrases to produce
meaningful subjects based on word co-occurrence
analysis. The core computational logic runs like
identifying the words that appear in the same article
or sentence and then treating them as having the
same topic. The greater the topic’s normalized PMI
value, the greater the co-occurrence of the word
group in the topic. For instance, when "population"
and "aging" appear frequently in the same sentence,
it highlights the significance of population aging in
that topic. The authors then went through a manual
examination of thousands of words and phrases in
the topics to ensure that words and phrases funneled
into each topic were truly representative. Any
question as to the use of a word or phrase was
resolved by looking at that specific word in context.
This process resulted in topics for each code that
were believed to have fully captured the
corresponding topic issue in concern.
4 Results
Figure 1 depicts the proportion of the seven TPACK
descriptions that occurred in each of the three types
of courses, with P and TCP accounting for
approximately one-third of the total internal volume
across all three categories. The proportions of the
remaining four groups, C, T, CP, and TP, range
from 1% to 6.8% of the total internal volume,
respectively. This indicates that when discussing
these courses, teachers of the three kinds of courses
highlighted pedagogy (P) and integration of digital
technology pedagogy (TCP) the most, followed by
how to integrate digital technology with course
content (TC). However, teachers provided less detail
regarding the interaction between T, TP, C, and CP.
Fig. 1: TPACK by Field
Since teachers emphasized both P and TCP
across the course categories, we conducted a series
of chi-square tests of independence to investigate
the relationships between the TPACK codes and
course categories.
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Table 3. P and TCP usage
Code
Chi-
Square
p-value
P
19.18
0.000
C
2.95
0.229
T
4.75
0.093
CP
2.68
0.262
TC
0.88
0.645
TP
0.97
0.616
TPC
43.01
0.000
Our results indicate significant differences in the
distribution of Pedagogical knowledge (P) and
Technological, Pedagogical, and Content
Knowledge (TPC) across the course categories
(Table 3). Specifically, the chi-square statistic for
the P code was 19.18, with a corresponding p-value
of 0.00. For the TPC code, the chi-square statistic
was 43.01, and the p-value was 0.00. Given these
small p-values, we reject the null hypothesis of no
association between the P and TPC codes and the
course categories, suggesting a significant
relationship.
However, for the remaining TPACK codesC,
T, CP, TC, and TPthe p-values were all greater
than 0.05. This indicates a lack of evidence to
suggest a significant association between these
TPACK codes and the course categories.
Fig. 2: Crosstabulation Results
Figure 2 displays the results of the cross-
tabulations of the various codes and the three
categories of courses. The correspondence analysis
shows that, among all the subsidized courses, the
social science courses provide the most thorough
descriptions of four of the seven TPACK
components. The emphasis of the humanities
courses and science methods courses was limited, to
pedagogy and technologies respectively.
We divided these courses into two parts, pre-
epidemic and mid-epidemic, using 2019 as the
dividing line, as shown in Table 4. Then, we cross-
tablulate the description of TPACK with course
categories in these two parts of the courses
separately, and the results are shown in Figure 3 and
Figure 4.
Table 4. Number of courses subsidized before and
during the Covid-19 pandemic
Pre-Pandemic
During Pandemic
Humanities
Social_
Sciences
Scientific_
Methods
Humanities
Social_
Sciences
Scientific_
Methods
C
4
11
1
4
4
1
P
62
56
32
105
122
47
T
2
3
5
2
3
3
CP
3
1
0
4
7
1
TC
19
22
13
20
35
13
TP
5
8
2
1
3
1
TCP
22
15
10
62
91
33
Fig. 3: Crosstabulation results before the Covid-19
Fig. 4: Crosstabulation results during the Covid-19
Comparing Figure 3 and Figure 4, we can see
that the descriptions of TPACK by teachers of
humanities courses before the epidemic mainly
emphasized TCP, P, and TC; while during the
epidemic, their descriptions mainly focused on C.
The descriptions of TPACK by teachers of social
sciences courses before the epidemic emphasized
more on TP and C before the epidemic; during the
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epidemic, the description of TC was increased. The
descriptions of TPACK by teachers of scientific
methods courses basically did not change much, and
before and during the epidemic, their courses always
focused more on the technical aspects of T.
Based on the preceding steps, we then focused
mainly on the 3 TPACK elements P, TC, and TCP,
as they were most thoroughly described as shown in
Figure 1. We investigated these 3 TPACK elements,
identified common subjects inside each element,
and then evaluated how these themes were
described within each course category.
4.1 Pedagogy
Table 5 reveals that the majority of the 189 digital
humanities and social sciences courses mention five
pedagogical techniques. The keywords essentially
depict the instructional approaches employed by
teachers. Classroom Material, for instance,
represents a more traditional form of teaching in
which the teacher provides course materials and
uses a guided approach in the classroom to enhance
students’ understanding of the humanities context.
Cultivation Community means that teachers often
take students into the community to develop their
observational skills and assign them to read in order
to deepen their understanding of the community.
Brainstorm refers to the use of brainstorming to
stimulate students’ creativity and strengthen their
thinking, including soliciting input from a panel of
brainstorming experts, proposing topics, and
guiding questions to stimulate creativity, with
students elaborating on their ideas and the teacher
organizing all ideas and encouraging discussion.
Typically, the Problem-Solving method entails
helping students define the problem, rewrite it, and
assume responsibility for it; the teacher presents
objective facts rather than personal viewpoints,
allowing students to analyze them, investigate the
root cause of the problem, and generate
corresponding solutions through various
brainstorming techniques. The instructor will also
assist the students in analyzing the pros and cons of
the potential solutions and selecting the best one.
The instructor also examines and coordinates with
the student the future steps to be taken to tackle the
problem, as well as monitors the progress on a
regular basis.
Table 5. Topics in Pedagogy
Topic
Keywords
Classroom Material
Classroom; Materials; Planning;
Teaching; Analysis; Explaining;
Cultivation community
Cultivation; Community;
Observation; Teaching;
Reading;
Expert Invitation
Expert; Invitation; Research;
Lecture; Professor;
Achievement;
Brainstorm
agitation; brain power; industry
division;
Problem Solving
problem; solution; caring;
professional; orientation;
As we can see from Figure 5, the humanities
course curricula are most frequently described as
utilizing the Cultivation Community approach,
followed by Brainstorming and Classroom
Materials; the social sciences curricula are most
frequently described as Problem Solving, followed
by Brainstorming, Expert Invitation, and Classroom
Materials. This demonstrates that in the process of
digitizing H&SS courses, the classroom teaching
tradition is maintained, but community and
industrial elements are incorporated in place of the
traditional emphasis on comprehension and
memorization. In contrast to the conventional
emphasis on comprehension and memorization,
digital H&SS courses place a greater emphasis on
analytical reasoning. These instructional strategies
are seldom discussed in scientific methods curricula.
Fig. 5: Pedagogy Knowledge by Field
4.2 Technology and Content Pedagogy
Knowledge
As shown in Table 6, this TPACK component is
comprised of the following seven themes: Social
Politics and Economics, Local, Robotics Fintech,
Cross-Cultural, Enterprise, Automatic Artificial
Intelligence, and Program Interactive Creation. It
pertains to the pedagogy of digital information
technology and material from the humanities and
social sciences. These topics provide examples of
typical digital and humanistic social themes that are
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more applicable and practical in the digital
humanities curriculum being promoted by the
Ministry of Education of Taiwan. Social Politics and
Economics, for example, is self-explanatory,
indicating that a large number of courses describe
digital content in politics and economics. The
keywords under each topic include verbs and nouns,
with the verbs pertaining primarily to pedagogy and
the nouns to pedagogical purposes, tools, etc. As
part of the teaching process, the verbs under the
topic Cross-Culture may indicate that the instructor
leads students on learning tours, assigns them
practical tasks, and teaches them about the culture.
Table 6. Topics in Technology and Content
Pedagogy
Topic
Keywords
Social
politics
economics
Parliament; deepening; information
technology; links; awareness; Practice;
politics; In-depth; Community; Focus;
Advanced; Theory; language; System;
Actual; public opinion; utilization; elections;
Data Science; Society; Experience; R; public
opinion; Collection; Lead; elections; skills;
Understanding; training; Research; Surveys;
Projects; Information; literacy; Explore;
studio; Advanced; Empirical; Theory;
political science; Use; politics; management;
Tools; architecture;
Local
Region; Literature; Logic; shooting;
Transmission; digitalization; Context; Text;
place; Schemes; stories; Strengthening;
Problem solving; In-depth; Imagery; depth;
Search; Development; Diversity; Humanities;
issues; Establish; Think; knowledge;
platform; Modules; unity; AR; Films;
tourism; on the ground; sightseeing;
modeling; Guided tours; ..app; collocation;
interaction; Groups; production; Resources;
formation; Teachers; Reporting; Culture;
digital tools; platform; Games; Literature and
history; Thoughts; works; Rendering;
Robotics
fintech
Robots; fintech; Finance; Thoughts; Mode;
Commercial; Import; innovation; Action;
Thinking; Empirical; ..ai; Creativity;
Development; Teaching; ..app; Explore;
Social; Cases; Think; Smart; Encourage;
technology; interface; Practitioners; Impact;
Including; development; field; Understand;
Cross-
culture
cross-cultural; VR; Virtual; Impact;
Communication; era; Reality; Common;
Space; Guided tours; participation;
Understand; Teaching; Industry; digital
humanities; Lead;
Enterprise
Enterprise; teachers; Industry; cooperation;
Practitioners; Guidance; Special topics;
Share; Case-by-case cases; Display; Huge
amount of data; Information; links; grouping;
discussion; Industry-university; Binding;
Teaching; Practice; Results; advertising;
brand; facebook; Consumers; promotion;
Website; Media; Open; marketing;
Operations; Activities; Community; Data;
Instantaneous; Industry-university; Reporting;
End of period
Automatic
artificial
intelligence
Automatic; artificial intelligence; Music;
python; Specialists; programming language;
Scholars; machine learning; AI; Principle;
auxiliary; Introduction; Published; software;
System; writing; Robots; geographic
information;
Program
interactive
creation
Procedures; interaction; works; Design;
training; Entities; units; picture books;
Orientation; Journey; Operations; self-
directed learning; form; Thinking; Creation;
Games; Aesthetics; Theme; structure;
Integration; Field; cross-cutting; skills; cross-
domain;
Figure 6 demonstrates that all seven themes were
present in all three-course types. The social sciences
courses are the most comprehensive, with Cross-
Culture being the least common topic at 38% and
the rest exceeding 40%. The majority of
descriptions for humanities courses focused on local
topics, indicating that many digital H&SS courses
favor the Local theme. Automatic Artificial
Intelligence was the most frequently mentioned
topic for digital courses in science methods,
indicating a preference for integrating AI
automation into the digitization process.
Fig. 6: Technology and Content Pedagogy
Knowledge by Field
4.3 Technology and Content Knowledge
The content descriptions in this section of the course
deal with the connections and interactions between
digital information technology and subject
knowledge, and there are seven themes (as shown in
Table 6). As can be seen from Figure 7, the
description of the TC content is similar to that of
TCP, with almost half of the courses in sociology,
followed by courses in humanities and courses in
scientific methods.
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This TPACK component focuses on the
relationships and interactions between digital
information technology and subject matter, and it
contains seven themes (Table 7). As shown in
Figure 7, the description of TC content is
comparable to that of TCP, with over half of the
courses in social sciences courses, followed by
humanities and scientific methods courses.
Table 7. Topics in Technology and Content
Topic
Keywords
Politics
economy
media
Politics; Software; Nowadays; Era;
Community; Combine; Media; Theory;
Life; Information; Phenomenon;
Immediate; Policy; Decision-making;
Media; Value; Community; Society;
Information; Analyse;
Humanistic
literacy
Humanities; Field; Innovation;
Knowledge; Society; Attainment;
Multivariant; Mode; Culture; on the
ground; Specialized; on the ground;
Multivariant; Theory;
Industrial
integration
Enterprise; Study; System; Marketing;
Exploitation; Found; Analyse; Industry;
Products; Operations; Target; Marketing;
Serve; Exploitation; big data;
Ecosystem
Environment; Significance; Space; Life;
Technology; Develop; Process; System;
Society; History;
Cross-
disciplinary
Cooperate; Ability; Attainment; cross-
cutting; Process; Educate; Digit;
Traditional
resources
Tradition; Resource; Technology; digital
tools; Digit; Apply; Interaction; Develop;
Big data AI
tools
Data; Artificial intelligence; Foundation;
big data; Information;
Fig. 7: Technology and Content Knowledge by
Fields
Nearly half of all TC descriptions were from
social sciences classes (Figure 7). In addition, the
descriptions of the seven subjects varied
significantly within each group, with the humanities
courses comprising approximately 30%, the social
sciences courses 50%, and the science methods
courses comprising approximately 20%. These
cross-group comparisons of TCs demonstrate that
both faculty and program reviewers favor and
emphasize TCs in course descriptions for digital
H&SS courses.
To assess the association between the TC and
TPC codes, we conducted a Chi-Square Test for
Independence with Spearman Rank Correlation
(Table 8). The results of the chi-square test for
independence indicate a significant association
between the presence or absence of the TC and TPC
codes (p < 0.001). This suggests that the occurrence
of these codes in the course categories is not
independent. Furthermore, the Spearman rank
correlation coefficient between the frequencies of
TC and TPC codes is 1.00 (p < 0.001), indicating a
perfect positive association. These findings provide
evidence of a significant and strong positive
association between the TC and TPC codes across
course categories, indicating that as instructor focus
on technology-content (TC) links increased,
integration of technology-pedagogy-content (TPC)
also rose proportionally.
Table 8. Association between the TC and TPC
Test
Statistic
p-value
Chi-Square Test for
Independence
51.43
0.000
Spearman Rank
Correlation
1.00
0.000
5 Discussion and Implication
The results of this study suggest that teachers of all
three types of courses emphasized pedagogy (P) and
the integration of digital technology pedagogy
(TCP) and technology and content (TC) more than
digital technology content (T), digital information
technology pedagogy (TP), and subject content (C).
Despite the fact that the compound element TC
contains both T and C, which may partially explain
why there is too little T, C, and TP content, the lack
of T and TP reflects the fact that these digitization
courses are primarily "applied" in nature, i.e. using a
particular digital information technology instead of
teaching the technology. This outcome is expected
given that these courses are structured as 18-week
units and that it is challenging for students from
humanities and social sciences backgrounds to
really learn digital technology in that time.
Additionally, the results of this study suggest that
because the teachers also come from backgrounds in
the humanities and social sciences, they might not
be able to impart professional and technical
knowledge to the students. Therefore, only a limited
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number of technologies at the application level may
be thought of as being integrated into the curriculum
during curriculum design. In line with this, previous
studies have found that teachers in the humanities
and social sciences often lack extensive formal
training in new digital technologies, [37], [38], [40].
For example, they may have limited skills in coding,
[45], working with large datasets, [37], [43], or
computational analysis, [39], [44], compared to
those in technical fields like computer science and
engineering. This gap in technical knowledge can
make it challenging for humanities and social
science teachers to provide effective instruction on
emerging technologies themselves, as reflected by
the focus on application-level tools rather than
deeper technology skills in the observed courses.
Building digital literacy and technical pedagogical
knowledge will require targeted professional
development and training programs tailored to
humanities and social science teachers' needs.
Compared to previous small-scale TPACK studies,
[23], [36], this large-scale quantitative analysis of
189 digital humanities course syllabi also provides
new insights regarding technology integration
practices, such as the finding that integrative
knowledge like TCP and TC were emphasized
substantially more than discrete technical skills like
TK and TP. Our methodology enabled the
investigation of nuanced differences in TPACK
application across humanities, social sciences, and
scientific methods courses on a scale not achievable
through smaller qualitative studies. These insights
advance understanding of critical knowledge gaps as
well as current integration practices in digital
humanities education.
In this study, we found that the emphasis on
TPACK by humanities teachers before and after the
epidemic was very different (Table 4 and Table 5).
This may be due to the fact that before the epidemic,
there were many digital technologies that could be
implemented in humanities classes, but after the
epidemic, all classes were taught online, and many
of the previously implemented digital humanities
courses reverted back to the learning of humanities
content. For example, the field-based pedagogy
presented in Table 6 is often used in humanities
courses, but after the epidemic, many social
restrictions prevented field-based and field-based
instruction. In contrast, social science courses prior
to the epidemic mostly emphasized some
applications of technology that were likely to have
little requirement for in situ themselves, so after the
epidemic, teachers of social science subjects made a
closer integration of these original technologies with
the course content, and thus the discourse of
concern in TCP and TC showed an increasing trend.
For example, some of the T&C topics in Table 6,
such as Integrating content with Automatic
Artificial Intelligence are a form often seen in social
science courses. learning of AI technologies can
also be done online, so what teachers had to do after
the epidemic was to reinforce the online content,
which may explain why in Table 4 and Table 5 the
differences in the descriptions of TPACK for social
studies courses in Table 3 and Table 4. These
findings advance the theoretical conceptualization
of TPACK by providing empirical evidence of how
humanities and social science teachers are applying
TPACK principles in authentic educational contexts.
For instance, the prevalence of TCP and TC
alignments shows teachers are able to combine
technical and content knowledge, while the lack of
focus on TK and TP highlights room for improving
technical pedagogical skills. Building on initial
frameworks by [14], [16], our analysis reveals
patterns in TPACK integration particularly in digital
humanities.
Regarding the efficacy of digital humanities
courses, instructional design in authentic teaching
situations may be more helpful in increasing digital
abilities among teachers. In this study, teachers were
found to consciously consider "how to teach," i.e.,
focus on the PC, but rarely actively consider the
potential impact and constraints of digitization on
teaching and learning, and the predominant methods
of utilizing digital technology were "presenting" and
"showing." Therefore, teachers may need additional
and diverse forms of continuous guidance and
assistance in TPACK development. These may
include self-questioning, brainstorming, and
interactive communication, [51], [52], or case
studies that show different types of learning
activities, [49], [53], [54]. We believe that as
teachers begin to intentionally focus on TC, TP, and
TPC, their interpretation of the term "integration"
will become more nuanced, and digital H&SS
classroom instruction will undergo a substantial
transformation.
The findings of this study revealed that the main
components of the TPACK descriptions for teachers
in these funded programs were educational
technology competencies related to P, TCP, and TC,
while other TPACK statements were minimal, with
no more than 15% in each category of digital
humanities courses. This indicates that instructors in
these programs might not be fully cognizant of how
very important T, TP, C, and CP are to TPACK
abilities. Taiwan’s Ministry of Education and higher
education institutions should improve the
development of teachers’ educational technology
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abilities and boost teachers’ awareness of TPACK.
It is crucial to offer or implement supplemental
courses that can improve teachers’ educational
technology competencies in order to fully facilitate
the positive development of their TPACK
competencies. This will allow teachers to learn and
master digital educational technology while
comprehending digital educational technology
knowledge and skills.
TPACK is a vital theoretical framework for the
development of teachers’ educational technology
competencies, [55]. TPACK knowledge offers high
reliability and utility as a predictor of instructors’
proficiency in the classroom, [56]. Therefore, we
recommend that educational authorities and higher
education institutions evaluate and measure
teachers' TPACK competencies in the process of
promoting digital H&SS courses, encourage
teachers to achieve a deep understanding of the
relationship between TK, CK, and PK, strengthen
their TPACK awareness, and enhance their TPACK
in specific teaching contexts competence.
Furthermore, for administrators and policymakers,
the results of this study illuminate critical gaps like
a lack of discrete technical skills training and
technology-specific pedagogy. Our identification of
these specific under-developed knowledge areas
provides guidance for improving teacher preparation
and curriculum design through targeted TPACK
training tailored to digital humanities disciplines,
[40]. Addressing these gaps can better equip
teachers to effectively leverage technology in
humanities and social science teaching.
6 Conclusion
This study analyzed the TPACK integration
practices of teachers in digital humanities,
illuminating profound shifts in technology use that
mirror transformations in education. Few studies
have empirically examined TPACK competencies in
digital humanities, particularly before and after the
adoption of remote teaching modalities.
The extensive qualitative findings underscore an
urgent need for humanities and social science
teachers to substantially improve their TPACK
skills if they are to leverage technology
meaningfully. While instructors prioritized certain
knowledge facets, truly comprehensive digital
literacy in teaching remains distressingly elusive.
Sustained, focused professional development is an
absolute imperative to sufficiently empower
educators in harnessing the new tools of the trade
amidst the winds of change now sweeping through
higher education. Educators require greater literacy
in emerging technologies to fully capitalize on
pedagogical innovation opportunities.
The TPACK framework offers a valuable
compass for fundamentally enhancing technology
integration opportunities in digital humanities
classrooms. By focusing the lens on neglected
competency areas like discrete technological
knowledge and synergistic overlaps between
technology and content, instructors can potentially
transform traditional teaching approaches to engage
digitally immersed students through deliberate,
purposeful digital pedagogy. Academic institutions
must commit to providing continuous, targeted
TPACK training apposite to digital humanities
exigencies and contexts, both existing and emergent.
This analysis provides an important baseline for
policymakers and administrators to significantly
inform teacher training requirements and curriculum
design upgrades for forthcoming digital humanities
programs, whether online, face-to-face, or blended.
As the pandemic continues driving remote and
hybrid instruction models, substantively developing
educators' TPACK capabilities is essential to
building truly resilient digital humanities paradigms
for the future.
7 Limitations
TPACK represents a contemporary suite of
pedagogical competencies, the genesis and
evolution of which are deeply intertwined with
context. While the portrayals of digital H&SS
courses in this study underscore teaching both
within and beyond the classroom, they fall short of
providing comprehensive depictions of
contextualized, hands-on environments. The
cultivation of TPACK capabilities cannot be
detached from the specific operational context. It is
crucial to consider teachers' aptitude for applying
educational technology within the backdrop of the
information and digital age. This involves creating a
conducive teaching environment (encompassing
both physical classrooms and online spaces) for
educators, and offering an open, immersive context
for the application of educational technology when
aiding teachers in enhancing their TPACK skills.
The journey toward developing and refining
teachers' digital proficiencies is a complex and
protracted one. This process is shaped and limited
by a multitude of factors. Beyond the seven
elements outlined in the TPACK framework, it may
also encompass situational components such as
classroom layout, pre-existing levels of students and
instructors, equipment setup, and the educational
philosophy of the school, [57], [58]. In the present
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study, which primarily concentrated on the seven
TPACK components, these contextual factors were
not taken into account. Future research that
incorporates these situational elements into
consideration will undoubtedly yield more
intriguing results.
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WSEAS TRANSACTIONS on COMPUTER RESEARCH
DOI: 10.37394/232018.2023.11.20
Dahui Dong, Meng-lin Chen
E-ISSN: 2415-1521
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The authors equally contributed to the present
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Dahui Dong, Meng-lin Chen
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