Do Teachers’ Years of Experience and Participation in Teacher Certification Training Influence TPACK Abilities?

The aim of this study was to develop and verify a questionnaire to evaluate the demand for technological pedagogical content knowledge (TPACK) measurement towards teachers, as there is a demand in the TPACK components domain to amplify their capability in education, such as technological knowledge, pedagogical knowledge, content knowledge, technological pedagogical knowledge, technological content knowledge, and pedagogical content knowledge. This study added two new components such as technological pedagogical content knowledge and contextual knowledge. Questionnaire verification was performed through literature review, and content verification was performed by experts, concluded by a factorial and reliability verification. The instrument was implemented with 400 teachers who teach Malay language subject at Secondary school in Malaysia. The verified questionnaire had eight components, and the dependability of the instrument was quantified using Cronbach’s alpha coefficient, with a scale comprising eight subscales: technological knowledge (.934), pedagogical knowledge (.963), content knowledge (.967), pedagogical content knowledge (.975), technological content knowledge (.966), technological pedagogical knowledge (.979), technological pedagogical content knowledge (.969), and contextual knowledge (.955). Eight components were analysed using confirmatory factor analysis (CFA) to determine the credibility of the structure. The results showed that the eight-factor variable model fits well and met the requirements of goodness of fit indices (>.90) and RMSEA (. The knowledge and teaching skills possessed by teachers will grow in line with their experience in national education arena. Therefore, the validation of instrumentation was to measure and determine the components of TPACK, which are technological knowledge, pedagogical knowledge, content knowledge, technological pedagogical knowledge, technological content knowledge, pedagogical content knowledge, technological pedagogical content knowledge and contextual knowledge for teachers.

Mishra and Koehler’s (2006) framework for technological pedagogical content knowledge (TPACK) is one of the most well-received and widely researched theoretical frameworks for technology integration in the classrooms. Chai et al. (2013) recent review found that more than 70 articles about TPACK have been published between 2003 and 2011 within the Scopus database. A website dedicated to TPACK research (http://tpack.org/) has accumulated more than 450 articles. The SSCI-listed journals have also published 134 articles on TPACK as of May 2015. As an analytical and creative framework, TPACK research can potentially generate deeper knowledge construction about ICT integration among researchers and educators. It could be refined, expanded, and improved upon to account for more variables that shape, empower, or constrain the development of ICT use in education (Chai et al. 2013; Voogt et al. 2013). Building upon Shulman’s (1986) model for pedagogical content knowledge, Mishra and Koehler (2006) added the dimension of technological knowledge and demonstrated how various kinds of teacher knowledge can be derived from the integration of technological, pedagogical, and content knowledge. These integrated forms of knowledge are pedagogical content knowledge (PCK), technological content knowledge (TCK), technological pedagogical knowledge (TPK), and technological pedagogical content knowledge (TPACK). Together with technological knowledge (TK), pedagogical knowledge (PK), and content knowledge (CK), these seven kinds of knowledge make up the TPACK framework. While this framework provides specifications for the kinds of teacher knowledge involved during technology integration, how teachers, educators, and researchers can create more technological pedagogical content knowledge need to be further unpacked. Tee and Lee (2011) have aptly positioned generating TPACK as a knowledge creation endeavor and Kramarski and Michalsky (2010) have found it necessary to support pre-service teachers’ metacognitive self-regulation as they create TPACK through design. The creation of knowledge is a complex matter and coupled with the situated nature of TPACK (Mishra and Koehler 2006); further theorizing of the epistemic nature and processes involved in creating TPACK are needed. Specifically, the TPACK framework specifies what teachers need to integrate technology but not how the process can be improved (Cox and Graham 2009). On the other hand, there is much emphasis on the use of technology to support pedagogical improvements, especially the kinds of pedagogies that support students to foster twenty-first century competencies (ISTE 2007; P21, 2007). Voogt and Roblin (2012) have identified ICT-based learning as a common element across all twenty-first century learning frameworks they have reviewed. ICT could be used as a cognitive tool, metacognitive tool, and epistemic tool to support critical thinking, creative and inventive thinking and authentic problem solving, which are also common elements of twenty-first century learning. Yet, there is still a lack of understanding about how the seven TPACK constructs are being applied by teachers as they formulate technology-integrated lessons to promote twenty-first century learning & Joyce Hwee Ling Koh joyce.koh@nie.edu.sg

Background and Objectives: Current reform efforts in science education emphasize the integration of technology to enhance instructional practices and improve student learning outcomes. To achieve this, teachers must develop the necessary knowledge and skills to effectively incorporate technology into their instruction. The Technological Pedagogical Content Knowledge (TPACK) framework serves as a crucial model that helps teachers connect subject matter knowledge, pedagogical strategies, and technological tools to create meaningful learning experiences. A solid understanding of TPACK allows teachers to select appropriate technologies that align with both content and instructional methods. This ensures their teaching aligns with modern educational needs and enhances student learning outcomes. However, most existing studies on teachers' perceptions of TPACK focus primarily on assessing their perceived competency levels and their alignment with components of the framework. Studies lack an in-depth analysis of how science teachers perceive TPACK, including its characteristics, strengths, and weaknesses. Therefore, a more in-depth investigation is essential to provide professional development for teachers in Opportunity Expansion Schools, where resources are limited and traditional teaching methods persist. Methodology: This qualitative research was conducted by means of a case study that aimed to examine the perceptions of TPACK by three lower secondary science teachers from an Opportunity Expansion School in Chaiyaphum Province, Thailand. These teachers were selected based on their self-reported low TPACK scores. The research utilized various data collection methods, including semi-structured interviews, lesson plan analysis, and classroom observations. A content analysis approach was used to examine the collected data, and triangulation was applied to ensure validity by comparing findings across different data sources. The analysis focused on the seven components of the TPACK framework: Content Knowledge (CK), Pedagogical Knowledge (PK), Pedagogical Content Knowledge (PCK), Technological Knowledge (TK), Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK), and Technological Pedagogical Content Knowledge (TPACK). Main Results: The findings revealed that the teachers’ perceptions of TPACK were not aligned with most components of the framework, excluding CK. The teachers demonstrated strong CK due to their academic backgrounds in science and extensive teaching experience. However, their PK , PCK, TK, TCK, TPK and TPACK were limited, as their teaching relied predominantly on lectures, with little consideration for diverse or content-specific teaching strategies. Discussion: Regarding TK and TCK, the teachers primarily used basic technologies, such as PowerPoint and video clips, and lacked the ability to incorporate additional technologies that are suitable and specific to science content. Furthermore, their TCK, TPK and TPACK demonstrated significant gaps, as the teachers struggled to integrate technology effectively into content-specific teaching strategies, which is critical for fostering analytical thinking and inquiry-based learning. The findings highlight the need to enhance science teachers' knowledge and skills in TPACK to effectively integrate technology into their teaching. In particular, emphasis should be placed on the professional development of science teachers in Opportunity Expansion Schools. Conclusion: This study hopes to contribute to the improvement of science education by raising awareness of the need for teachers to strengthen their Technological Pedagogical Content Knowledge (TPACK) competencies. Promotion of such training will improve science education by fostering the meaningful integration of technology in the classroom, ultimately enhancing student outcomes.

This study aimed to explore how secondary school science and mathematics teachers in Qatar integrate Technological Pedagogical Content Knowledge (TPACK) into their teaching practices. The study examined the relationships between the subcomponents of TPACK using structural equation modeling (SEM), complemented by an analysis of additional categorical variables. A total of 245 science and mathematics teachers from Qatar participated in the research. The model’s findings showed that the internal components—technological knowledge, pedagogical knowledge, and content knowledge—had a significant and positive direct effect on the external factors: technological pedagogical knowledge, technological content knowledge, and pedagogical content knowledge. However, these internal components did not directly impact TPACK itself. Together, these variables accounted for 77% of the variance in TPACK. Among the findings, Technological Content Knowledge (TCK) emerged as one of the most influential variables affecting TPACK, emphasizing its importance in teachers’ TPACK integration. On the other hand, it was found that Pedagogical Content Knowledge (PCK) did not have a direct and significant effect on TPACK. Categorical variables like certificates and postgraduate education significantly impact TPACK and its subcomponents, while gender, field of study, and teaching experience do not. This finding underscores the importance of structured training and postgraduate education in enhancing TPACK skills for science and mathematics teachers. Participation in technology-based certification programs and postgraduate studies in STEM is crucial for their TPACK development in teaching STEM subjects. Future studies could explore the long-term impact of structured, technology-based training programs on enhancing STEM teachers’ TPACK development and assess how this improvement influences student learning outcomes in science and mathematics classrooms. This would provide deeper insights into the effectiveness of such programs and their potential to transform teaching practices and student achievement in STEM education.

With the continuous advancement of education informatization, Technological Pedagogical Content Knowledge (TPACK), as a new theoretical framework, provides a novel method for measuring teachers’ informatization teaching ability. This study takes normal students of English majors from three ethnic universities as the research object, collects relevant data through questionnaires, and uses structural equation modeling to conduct data analysis and empirical research to investigate the differences in the TPACK levels of these students at different grades and the structural relationships among the elements in the TPACK structure. The technological pedagogical knowledge element of the TPACK structure was not obtained by exploratory factors analysis but through path analysis and structural equation modeling, the results show that the one-dimensional core knowledge of technological knowledge (TK), content knowledge (CK), and pedagogical knowledge (PK) have a positive effect on the two-dimensional interaction knowledge of technological content knowledge (TCK) and pedagogical content knowledge (PCK); furthermore, TCK and PCK have a positive effect on TPACK; and TK, CK, and PK indirectly affect TPACK through TCK and PCK. On this basis, suggestions are provided to ethnic colleges and universities to develop the TPACK knowledge competence of normal students of English majors.

As AI technologies with predictive capabilities increasingly spread, it has become necessary to leverage them in light of the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technological Pedagogical Content Knowledge (TPACK) frameworks, especially in the English language. This study investigates the factors influencing English lecturers’ intentions to adopt artificial intelligence (AI) in teaching, utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technological Pedagogical Content Knowledge (TPACK) frameworks. A quantitative research methodology was employed, collecting data from 174 English lecturers in Jordan through structured questionnaires. Structural Equation Modeling (SEM) was used to analyze the relationships between UTAUT constructs—Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC)—and TPACK components, including Technological Knowledge (TK), Pedagogical Knowledge (PK), and Content Knowledge (CK). Reliability and validity measures confirmed the robustness of the instrument. The findings reveal that PE, EE, SI, and FC significantly predict lecturers’ Behavioral Intention (BI) to adopt AI tools. Furthermore, TPACK components, particularly Technological Pedagogical Knowledge (TPK) and Technological Content Knowledge (TCK), mediate the relationship between UTAUT factors and BI. Facilitating Conditions and Social Influence were found to have the strongest indirect impact through TPACK constructs. The model fit indices indicated a good fit, validating the proposed hypotheses. The study underscores the importance of professional development programs to enhance educators’ TPACK and emphasizes the need for institutional support to foster AI adoption. These findings contribute to the literature on technology adoption in education and provide actionable recommendations for integrating AI into English language teaching.

The aim of this study was to determine teachers’ views on technological pedagogical content knowledge (TPACK), their self-efficacy, and whether these views changed according to sex, age, period of service, faculty graduated from, branch, access to the internet, the use of technology level, and access to in-service training which is oriented to the use of technology. Teachers’ self-efficacies which are oriented to TPACK and its sub-dimensions known as technological knowledge (TK), content knowledge (CK), pedagogical knowledge (PK), pedagogical content knowledge (PCK), technological content knowledge (TCK) and technological pedagogical knowledge (TPK) were determined to be at a high level. According to this study, teachers’ self-efficacy perceptions on TK, CK, PCK, TCK and TPACK did not change according to sex while the self-efficacy perceptions on PK and TPK changed according to sex. It was concluded that the self-efficacy perceptions of female teachers in these dimensions were higher when compared to those of male teachers. According to the present study, teachers’ self-efficacy at TK and PCK changed according to age and the period of service, while self-efficacy at CK, PK, TCK, TPK and TPACK did not change according to these variables. In addition, a significant difference was determined between teachers’ self-efficacy perceptions on TK and TPK according to the faculty graduated from. It was detected that the self-efficacy levels of classroom teachers on CK, TPACK, PCK and TCK were higher when compared with those of branch teachers. It was also concluded from this study that teachers’ self-efficacy perception of TPACK did not change according to the situation of access to internet in the school in which they held office and that their efficacy was adequate. Teachers who thought that their self-efficacy in the use of internet was sufficient had higher levels of self-efficacies in TK, TCK, TKP and TPACK compared with other teachers. According to the present study, the in-service training that teachers receive on how to use the internet has more positive effects on CK and PCK compared with their self-efficacy in other dimensions.

Background Understanding pre-service science teachers’ (PSTs) perceived knowledge on a subject and teaching that subject is important to better prepare these teachers for their future career. Purpose In this study, PSTs’ perceived Technological Pedagogical Content Knowledge (TPACK) on genetics and the contribution of the dimensions of perceived TPACK on PSTs’ subject matter knowledge of genetics were investigated. Moreover, the differences in the perceived TPACK with regard to gender and grade level were examined further. Sample 1530 PSTs from eight public universities located in Central Anatolia in Turkey participated to the study. Design and methods Perceived TPACK on Genetics Questionnaire (MaKinster, Boone, and Trautmann 2010) and Test of Basic Genetic Concepts (Sadler and Zeidler 2005) were used. Regarding perceived TPACK eight sub-dimensions were emerged, namely; Educational Technology Knowledge (ETK), Genetic Technology Knowledge (GTK), Project Specific Technology Knowledge (PSTK), Content Knowledge (CK), Pedagogical Knowledge (PK), Pedagogical Content Knowledge (PCK), Technological Content Knowledge (TCK), and TPACK. Descriptive analysis, multiple linear regression analysis, and MANOVA analyses were conducted to provide answers to research questions. Design and methods The students were surveyed before and after the program using open-ended and Likert scale items, and were asked to complete a nuclear science version of the Draw-A-Scientist-Test. Results The participants’ mean value of total TPACK is 4.15 out of 6. Pre-service science teachers perceived themselves most knowledgeable on PK and least knowledgeable on PSTK dimensions. The content-related perceived TPACK dimensions significantly contributed to PSTs’ subject matter knowledge of genetics. The mean scores of male and female PSTs were found significantly different in PSTK, PK, PCK, TCK and TPACK dimension. ETK, GTK, PSTK, and CK scores of participants were also found to be significantly different with regard to grade level. Conclusions This study provided descriptive information about PSTs’ levels of TPACK. Moreover, this study also showed the contribution of content-related perceived TPACK dimensions on subject matter knowledge of genetics. This study showed that female PSTs and PSTs, who took courses in which science, technology, and pedagogy are taken as an integrated manner, had better perceived TPACK. We can conclude that PSTs’ perceived TPACK knowledge is situated in a particular subject matter area. Therefore, instead of seeking for TPACK in a general domain, focusing on specific subject matter areas can give us more insight into the nature of the TPACK and better development of PSTs’ TPACK.

Technological pedagogical content knowledge (TPACK) provides a framework of teacher knowledge to integrate technology into education successfully. Applying digital technologies to TPACK in order to understand the range of language teachers’ ability levels is of considerable importance. The present study sought to examine Iranian EFL teachers’ perceived knowledge of Web 2.0 technologies in light of Mishra and Koehler’s (2006) TPACK framework. To this end, a structural model was put forth on the basis of interactions of the TPACK seven-factor model. The participants of the study consisted of 160 EFL teachers, who were selected through an alternative sampling procedure. The data were collected from the participants through a TPACK-EFL questionnaire. The structural equation modeling (SEM) technique was employed to analyze the pathways of Web 2.0 technology, pedagogy, and content and their interactions in the TPACK model. The results revealed that Web 2.0 technological knowledge (TK), pedagogical knowledge (PK), and content knowledge (CK), as core knowledge components, influenced the second-level knowledge bases, namely technological pedagogical knowledge (TPK), pedagogical content knowledge (PCK), and technological content knowledge (TCK) positively and directly except for one construct. Conversely, the impacts of TK, PK, and CK on TPACK were not statistically significant, and, as a result, did not work towards developing EFL teachers’ TPACK. Furthermore, TPK, TCK, and PCK were found to serve as contributing factors in the development of TPACK. Finally, the pedagogical and theoretical implications of interrelationships between the constructs and possible interpretations are discussed.

This qualitative study aims at evaluating the online teaching experiences of classroom teachers during the New Coronavirus Disease (COVID-19) period in terms of the Technological Pedagogical Content Knowledge (TPACK). The interviews were conducted with 17 classroom teachers within the scope of the current research. The data were collected via open-ended semi-structured interview questions. As a result of the analysis of the data, the classroom teachers considered themselves competent in the components of Technological Knowledge (TK), Content Knowledge (CK), Pedagogical Knowledge (PK) and Pedagogical Content Knowledge (PCK), they did not consider themselves competent in the Technological Content Knowledge (TCK) and Technological Pedagogical Knowledge (TPK) components, which were the result of the integration of these components with technology. When the participants were addressed in terms of the online teaching experiences, technology uses, competencies and professional training needs as a whole during the COVID-19 period, it was found that they did not use digital tools primarily for pedagogical purposes. Therefore, the teachers needed extensive pedagogical support when designing digital teaching. All of these results suggest that 21st century teachers need to develop their knowledge and skills in terms of CK, PK, TCK, and TPK that emerge with the transfer of such knowledge to technological processes and TPACK that forms the intersection of all information.

This study investigates whether pre-service teachers’ learning approach and gender are related to their technological knowledge, their technological content knowledge, their technological pedagogical knowledge and their technological pedagogical content knowledge. The sample of the study consisted of 239 pre-service teachers. It was found that an instructional technology and material development course had a positive effect on pre-service teachers’ technological knowledge, technological pedagogical knowledge and technological pedagogical content knowledge. Furthermore, technological knowledge, technological content knowledge, and technological pedagogical knowledge accounted for 82% of the variance in technological pedagogical content knowledge. Students having a deep learning approach and a deep surface learning approach had significantly higher technological knowledge, technological pedagogical knowledge and technological pedagogical content knowledge scores after the course than before the course, but there were no significant differences between surface learning approach students’ scores before and after the course.

The development of educational informatization imposes new requirements on the cultivation of teachers’ digital competence, which appeals to teachers who aim to optimize their teaching by integrating appropriate Information and Communication Technology (ICT). The requirement of digital competence corresponds to the meaning of Technological Pedagogical Content Knowledge (TPACK). Therefore, the development of teachers’ TPACK abilities can also positively influence the cultivation of their digital competence. The study was to examine the level of teachers’ TPACK abilities, and whether any difference in such abilities would be found according to the different teaching stages and teachers’ educational levels. An online questionnaire was distributed to the target teachers. Data of 1342 participants were analyzed. SPSS was used to conduct the descriptive statistics, and the non-parametric Kruskal–Wallis test with the post-hoc pairwise comparisons was used to determine teachers’ TPACK ability levels and explore the differences in teachers’ TPACK according to their different teaching stages and educational levels. The results indicated that teachers’ TPACK abilities were at a generally high level. Moreover, significant differences in teachers’ TPACK abilities were found in the teaching stages and educational levels. Teachers with different teaching stages have significant differences in Content Knowledge (CK), Pedagogical Knowledge (PK), Technological Pedagogical Knowledge (TPK), Technological Content Knowledge (TCK), and Technological Pedagogical Content Knowledge (TPACK). However, no difference was found between Technological Knowledge (TK) and Pedagogical Content Knowledge (PCK). In addition, the results suggested that the seven sub-dimensions of TPACK differed significantly according to teachers’ educational levels, where the higher the educational level, the better the teachers’ TPACK abilities. Therefore, teachers should effectively integrate technology and apply appropriate pedagogies according to the teaching content in different teaching stages. A planned and targeted series of ICT application training courses for teachers with lower educational levels would be helpful to improve their self-confidence in using technology to promote their teaching effectiveness.

The study investigates how Science teachers articulate their self-confidence in teaching Science with technology. Technological Pedagogical Content Knowledge (TPACK) is used as the primary tool to describe their practice. Using a quantitative approach, with an initial survey of 408 science teachers from 59 secondary schools in a state in East Malaysia, descriptive and inferential statistics were conducted to assess science teachers’ level of TPACK and discriminate differences between perceptions on TPACK related to their teaching experience. Findings revealed that the level of Content Knowledge (CK), Pedagogical Knowledge (PK), Technological Knowledge (TK) and Pedagogical Content Knowledge (PCK) are high, in comparison to their Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK) and Technological Pedagogical Content Knowledge (TPACK) which were recorded at a moderate level. The study also found how teachers with more extensive experience teaching reported higher confidence with their CK, PK and PCK. Novice teachers indicated slightly higher confidence in their TK. The study provides a set of determiners for professional development opportunities for Sarawak Science teachers to upskill their knowledge to integrate science content, pedagogy, and technology.

Higher education instructors tried to find best teaching ways during the pandemic. Instructors who were faced with emergency situations used various technologies to deliver their courses. In this study, an online survey was used to ask instructors about their experiences regarding their development of technological pedagogical content knowledge (TPACK) during emergency remote teaching (ERT); 231 responses were received from instructors from faculties of education. The survey was a five-point Likert-type scale include the dimensions of pedagogical knowledge, pedagogical knowledge, technological knowledge, technological content knowledge, pedagogical content knowledge, technological pedagogical knowledge, and technological pedagogical content knowledge. Instructors rated their own non-technological knowledge (pedagogical knowledge, content knowledge, and pedagogical content knowledge) relatively higher than their knowledge including technology (technological knowledge, technological pedagogical knowledge, and technological content knowledge). The findings indicate that instructors had a consistently high level of perceived knowledge in all TPACK dimensions. Regarding developments in instructors’ TPACK, several suggestions were made, including novel technologies and pedagogies specialized for ERT.

The purpose of this study is to assess Cambodian high school science teachers’ perceptions of Technological Pedagogical Content Knowledge (TPACK) knowledge domains, including content knowledge (CK), pedagogical knowledge (PK), technological knowledge (TK), pedagogical content knowledge (PCK), technological content knowledge (TCK), technological pedagogical knowledge (TPK) and TPACK and investigate the relationship between knowledge domains with some demographic variables such as gender, qualification, age, teaching experience, school type and school location. The study surveyed 240 Cambodian high school science teachers using a self-rating questionnaire. Data analyses employed independent samples t-test, One-Way ANOVA and Pearson’s correlation statistics to produce findings. The results revealed that Cambodian high school science teachers responding to the survey rated their knowledge relatively high for the CK, PK, PCK and TK, but relatively low for TCK, TPK and TPACK. Difference analyses affirmed that only the school-type variable indicated the difference in the four technology-related knowledge domains of TPACK. Age and teaching experience had negative correlations solely with the four technology-related domains. In conclusion, Cambodian high school science teachers have enough knowledge in (1) subject contents, (2) teaching strategies of their subject matter, and (3) ICT for administrative works and to support subject-matter-related works. Cambodian high school science teachers need more knowledge of specialised ICT for education to improve their teaching and enhance students’ learning on their subject.