Technological Content Knowledge Research Articles

Teachers Competencies for Pedagogical Practice in Special and Inclusive Education Towards the Development of TPACK Framework

Abstract: This study aimed to determine the profiles and competency levels of Special Education Teachers (SpEdT) and Receiving Teachers (ReT) in applying the TPACK framework to facilitate learning in an inclusive setting. It assessed the components of the TPACK framework that required improvement based on the teachers' competencies and examined the significant relationship between the teachers' profiles and their competency in applying the TPACK framework. The findings served as the basis for a teacher development plan for the 2024–2025 school year in selected public schools in the Tri-City area of Metro Cebu that offered Special and Inclusive Education (SIE) programs. The study employed varied research designs, including cross-sectional, correlational, and descriptive correlation approaches. The collected data were analyzed using frequency, weighted mean, and Chi-square tests. The research found that most respondents were female, aged 44 to 53, married, and pursuing a master’s degree, with 13 to 18 years of experience in managing 11 to 20 learners, primarily those with intellectual disabilities, autism spectrum disorders, or orthopedic disabilities, in self-contained classrooms. While all TPACK components were rated as "Competent," only Pedagogical Knowledge (PK) was rated as "Highly Competent," whereas Technological Knowledge (TK), Pedagogical Content Knowledge (PCK), and Technological Content Knowledge (TCK) received lower scores. The study found no significant relationship between most profile factors and TPACK competencies. However, the sex of the teachers was significantly related to their Content Knowledge (CK) competency, while Pedagogical Content Knowledge (PCK) and Technological Pedagogical Knowledge (TPK) were significantly related to civil status. Additionally, the type of class assignment had a significant relationship with CK competency. Overall, SpEdT and ReT teachers were considered competent in applying the TPACK framework for inclusive education. The study recommended implementing a development plan that included professional development, partnerships, and ongoing competency monitoring

From Measuring to Action: The Next Steps in Physics Teachers’ Technological Pedagogical Content Knowledge

The Technological, Pedagogical Content Knowledge (TPACK) model serves as a comprehensive conceptual framework that delineates the essential knowledge domains teachers must possess to effectively integrate technology within educational settings. By synthesizing technological knowledge, pedagogical knowledge, and content knowledge, TPACK empowers educators to create innovative, engaging, and meaningful learning experiences that cater to diverse student needs. Extensive research has indicated that teaching practices informed by the TPACK framework can significantly enhance student motivation, foster critical thinking skills, and improve overall academic performance. Moreover, the successful implementation of TPACK is contingent upon several critical factors, including ongoing professional development opportunities for educators, the availability of adequate technological resources, and the cultivation of a supportive school culture that encourages collaboration and experimentation. A recent paper presents, the results of a quantitative study conducted using the TPACK questionnaire. Data are collected utilizing the database of the Association of Physics Teachers of Georgia. Confirmatory factor analysis for the constructs’ reliability is conducted. The results of the factor analysis are grouped into four factors, which differ from those in other studies and are discussed below. Based on these findings, recommendations are provided for the improvement and integrating technology into physics teacher education.

Education for Sustainable Development Based of Technological Pedagogical and Content Knowledge using Mixed-Methods Approach in Physics Teaching

Sustainable development aims to raise the standard of living for present and future generations. The Sustainable Development Goals (SDGs) are a set of 17 objectives related to sustainable development. Education for Sustainable Development, or ESD, is one initiative to achieve the SDGs. Presenting the findings of literature research on the features and use of ESD in science education is the goal of this paper. The primary source material for this literature study came from seven publications published in different journals. This study utilized a mixed-methods approach with a concurrent triangulation design involving questionnaires, interviews, and FGDs with 78 physics teachers. The TPACK scores showed a mean of 3.10, with the highest score in Attitude (3.27) and the lowest in Inquiry (3.04). The analysis's findings indicate that 1) Eight critical competencies are thought to be crucial for promoting sustainable development. 2) Learning tools, learning media, and learning models are ways ESD can be included in science education. These findings demonstrate that integrating ESD capabilities into science instruction can promote sustainable development and help attain the SDGs. The results highlight the need for targeted training in inquiry-based approaches and technology integration to enhance ESD implementation in physics education.

The learning strategy for biodiversity concept: Pedagogical analysis based on technological pedagogical and content knowledge

Sustainable Development Goals (SDGs) emphasize quality education and environmental protection. Biodiversity education in Phase E requires students to solve problems related to biodiversity. However, complex terminology and limited learning tools create challenges. This research aims to analyze effective learning strategies for teaching biodiversity using a TPACK framework. The method used in this research is a literature review carried out systematically by PRISMA. The analysis will map pedagogical approaches, content based on CoRes analysis, and technological aspects. Findings will inform the development of effective learning strategies for high school biodiversity education, contributing to achieving SDGs, particularly SDG 15 on terrestrial ecosystems. The finding shows that The use of CoRes to narrow down the information is required to instruct students and promote the attainment of the 15th SDG goal. Based on the findings of the analysis, the pedagogical review of the approach used, namely local wisdom, the field trip method, and the discovery learning model, as well as the use of technology to assist students in identifying PlantNet, Picture This, and iNaturalist, is considered effective to be implemented in learning biodiversity material.

Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students

AbstractArtificial intelligence (AI) literacy education for young students is gaining traction among researchers and educators. Researchers are developing courses and attempting to teach AI literacy to younger students, using age‐appropriate AI educational learning tools. Although teachers play a crucial role in AI literacy education, their perceptions and attitudes have received little attention. This study explores the perceptions of 60 teachers regarding the use of AI educational learning tools, and examines the factors influencing their attitudes in relation to implementing AI literacy education. The technological acceptance model and the technological, pedagogical, and content knowledge (CK) (TPACK) framework inform the research design, and a mixed method, combining the statistical package for Social Science and thematic analysis, is employed for data analysis. The study reveals that teachers have positive perceptions regarding the usefulness and ease of use of AI educational learning tools in their AI literacy teaching. This paper also reveals that teachers embrace an arts‐based approach to teaching AI literacy. The qualitative data reveal that teachers face challenges such as insufficient CK and experience with AI; and knowledge of TPACK. The five factors affecting their acceptance of AI educational learning tools are: (a) teachers' perceptions of their AI CK and experience in teaching AI literacy (technological content knowledge); (b) technical challenges and stakeholder acceptance; (c) the attributes of AI educational learning tools; (d) school infrastructure and budget constraints; and (e) potential for distraction and negative emotional responses. This study offers insights for policymakers regarding professional development initiatives and technical support mechanisms, thereby facilitating more effective AI literacy implementation.

Physical Education Pre-Service Teachers as Design Thinkers: Exploring the Role of Divergent and Convergent Thinking and TPACK

A growing number of studies indicate the Design thinking (DT) can effectively contribute to teachers’ knowledge, and developing pre-service teachers’ 21st century competencies requires that teachers consider how to apply technological pedagogical and content knowledge (TPACK) through the DT process. The main purpose of this study was to investigate the DT of Chinese physical education pre-service teachers (PEPTs) and its relationships with TPACK. Two questionnaires were used to collect data from 316 pre-service teachers. The validity of the questionnaires were determined through confirmatory factor analysis. The findings showed significant positive correlations between all DT factors and TPACK. The path analysis showed that divergent thinking can predict technological content knowledge, technological pedagogical knowledge, and technological pedagogical content knowledge. It is worth noting that convergent thinking was also found to predict technological content knowledge. These findings suggest DT plays a key role in enhancing PEPTs' TPACK, particularly through divergent thinking processes. This study highlights the importance of incorporating DT into physical education teacher education programs to foster PEPTs' ability to integrate technology effectively in the teaching practices.

Effect of Technological Pedagogical and Content Knowledge Framework based Capacity Building Programme Module (CBPM) on Teaching Aptitude of Pre-Service Teachers

Technology integration in education transcends the mere implementation of technological artefacts, encompassing theoretical frameworks and evidence-based research findings to enhance pedagogical practices rather than being limited to the rudimentary application of computer hardware and software in instructional delivery. This study employed a quasi-experimental methodology, utilising a pre-test/post-test equivalent group design incorporating the Solomon four-group paradigm to generate quantitative data from pre-service teachers enrolled in undergraduate teacher education programmes. Statistical analyses, including descriptive measures of means, standard deviations and standard errors of means, demonstrated a significant favourable influence of a Technological Pedagogical and Content Knowledge (TPACK) framework-based capacity-building programme Module on the teaching aptitude of pre-service teachers.

Unveiling the intersection of technology and pedagogy: a domain-specific exploration for developing religious moderation content with an exploratory and Rasch Perspective

ABSTRACT The primary aim of this study was to investigate the construct validity of a survey focussing on the use of technology and teaching techniques to promote religious moderation, employing exploratory factor analysis (EFA). A total of 116 educators, who teach character development courses, were recruited to participate in the study. The developed instrument is based on the Technology Pedagogical Content Knowledge (TPACK) framework and has been validated through expert and cognitive interviews with religious education lecturers. The study’s results demonstrate that participants were able to discern conceptual distinctions between TPACK domains. Four factors were identified: TPACK, Pedagogical Content Knowledge (PCK), Technological Knowledge (TK), and Pedagogical Knowledge (PK). TPACK encompasses both Technological Pedagogical Knowledge (TPK) and Technological Content Knowledge (TCK), while PCK includes Content Knowledge (CK). Additionally, Rasch statistical analysis was employed to determine that the instrument measures a single latent variable, namely religiously moderated TPACK, with high reliability based on the fit of the scale to the Rasch model. The statistical data from the EFA and Rasch analyses suggest that this survey can serve as a valuable tool for researchers and educators interested in exploring TPACK within the context of religious moderation.

Harnessing AI

Integrating digital tools in education is essential for innovative teaching and learning (Msafiri et al., 2023). However, their mere availability does not ensure effective implementation. This presentation explores the development of an AI-powered chatbot designed to assist academics and learning designers in effectively using digital tools. Guided by the Technological Pedagogical Content Knowledge (TPACK) model and the Teaching Enhanced Learning Accreditation Standards (TELAS) framework, this project aims to bridge the gap between tool availability and effective usage. Effective implementation of digital tools begins with human factors, precisely the vision and expertise of educators. To achieve this, the TPACK model highlights three critical domains: technological knowledge, content knowledge, and pedagogical knowledge (Mishra & Koehler, 2006). These domains are critical to the effective and successful implementation of digital tools in the teaching-learning ecosystem. Our AI-powered chatbot leverages the TPACK model to connect educators’ pedagogical and content knowledge by conducting a needs assessment based on user-provided inputs and recommending suitable tools for enhanced teaching and learning. The chatbot interacts with users through precise, conversational inquiries, gathering detailed information on course titles, learning objectives, students' expectations, delivery methods, interaction types, desired tool functionalities, and accessibility considerations. This comprehensive approach ensures the chatbot provides well-informed, contextually relevant responses and resources to the users, thereby enhancing instructional effectiveness. By offering continuous support through our self-enrolled teaching support Canvas site, the chatbot ensures educators have access to assistance when needed, making it particularly beneficial for busy academics and learner designers. This then breaks the traditional barriers of time and place and offers users flexibility and real-time quality digital tool solutions. The chatbot knowledge base is built from a comprehensive tool document that maps each available tool at the [university name] to the TELAS framework. This framework sets rigorous standards and criteria for evaluating the quality of online environments, making it ideal for assessing tools across critical domains, including the online learning environment, learner support, learning and assessment tasks, and learning resources. By configuring this quality resource, the chatbot empowers educators to develop a deeper understanding of effectively integrating technology into their teaching practices for a successful learning experience Additionally, the chatbot provides real-time solutions on available tools, supporting continuous professional development and helping educators stay updated with the latest digital tools for their teaching needs. It offers use cases and knowledge base articles, addressing fragmented knowledge, time constraints, and technical expertise gaps, making it a valuable resource for newly recruited learning designers or academics to easily familiarise and induct themselves in the digital tool space. It offers quality assurance in tool usage by employing the TELAS framework. Moreover, the user data collection can provide insight for organising tailored training and support for academics. In conclusion, this presentation demonstrates the practical application and benefits of our AI-powered chatbot to improve digital tool integration in education. Using the TPACK and TELAS frameworks, the chatbot provides personalised support, helping educators seamlessly incorporate technology into their teaching and offering real-time recommendations to address digital tool challenges. It helps both new and experienced educators enhance their teaching, combining technology, pedagogy, and content knowledge for effective learning.

Pre-service teachers’ technological pedagogical and content knowledge (TPACK): their readiness for online instruction

ABSTRACT Rapid changes and greater complexities bring new difficulties and place new expectations on our educational system. Teacher education programs must adapt to these changes and train pre-service teachers in various learning modalities. This study determined the readiness of pre-service teachers to teach online based on their technological pedagogical and content knowledge (TPACK) when they are grouped based on their profile. Through proportional random sampling, 400 third-year pre-service teachers were surveyed using comparative research. No significant difference in the readiness of pre-service teachers to online instruction based on their TPACK when grouped according to their sex and specialization. However, it was found that the respondents when grouped according to their specialization were different in terms of their Technological Knowledge and Technological Content Knowledge. This study suggests that as the era of technological changes emerged, the abilities of preservice teachers must be highly targeted to cope with dramatic changes in the educational landscape.

Scrutinizing Indonesian pre-service teachers’ technological knowledge in utilizing AI-powered tools

Educators have widely adopted artificial intelligence (AI) as a product of technology to prepare teaching materials and enhance their understanding of technology integration in language teaching. As prospective teachers who may teach digital native students later, pre-service teachers must be more capable and knowledgeable in technologically-based pedagogy, materials, and assessment. This study aimed to explore English as a foreign language (EFL) pre-service teachers’ technological knowledge of utilizing AI-powered tools using the technological pedagogical content knowledge (TPACK) framework and investigate their strategies in the advanced of their technological knowledge. This mixed-method research design employed a five-point Likert scale questionnaire and a semi-structured interview as instruments to collect data. Fifty-five EFL pre-service teachers were purposively selected. Data from the questionnaire were analyzed statistically and descriptively, and data from interviews were analyzed thematically. The first findings of this study comprehensively revealed that EFL pre-service teachers exhibit a moderate level of proficiency in addressing technological knowledge (TK), technological pedagogical knowledge (TPK), technological content knowledge (TCK), and TPACK in utilizing AI-powered tools. Meanwhile, the second finding revealed that the participants employed four key strategies to advance their technological knowledge using AI-powered tools: engaging in TPD programs, collaborating with tech-savvy colleagues, staying informed about AI trends, and experimenting with AI-powered tools.

Technological Andragogical Content Knowledge (Tack) Training to Improve The Professional Competency of Equal Education Tutors

In the rapidly evolving digital era, the world of education is undergoing significant changes that require tutors to master content andragogy technology. Adult learners have unique characteristics compared to children, such as rich life experiences, family and work responsibilities, and different motivations for learning. Therefore, training in content andragogy technology is crucial for tutors to design and deliver material that is relevant, flexible, and tailored to the needs of adult learners. This technology enables the use of interactive and engaging digital tools that can enhance learning engagement and motivation. Additionally, such training helps tutors develop the digital skills of learners, which are highly necessary in today's workforce. Technology also enables increased accessibility and flexibility in learning, allowing learners to study anytime and anywhere. Collaboration and communication between tutors and learners, as well as among the learners themselves, can be enhanced through online platforms and digital collaboration tools. With a deep understanding of content andragogy technology, tutors can create more effective, efficient, and engaging learning experiences, helping adult learners better achieve their learning goals.

Pre-service Elementary Teachers’ Technological Pedagogical and Content Knowledge in Lesson Planning and Post-lesson Reflection Discourses on Science Classes Using Virtual and Augmented Reality Content

Pre-service Elementary Teachers’ Technological Pedagogical and Content Knowledge in Lesson Planning and Post-lesson Reflection Discourses on Science Classes Using Virtual and Augmented Reality Content

SCALE FOR PRE-SERVICE SCIENCE TEACHERS’ KNOWLEDGE IN DESIGNING INCLUSIVE LEARNING: CONSTRUCTION, VALIDATION, AND RELIABILITY

Scale development is essential in testing constructs and variables in social research, including education. Scales that meet the rules of validity and reliability are developed using standardized procedures. This research focuses on scale production to create reliable and valid construct measures to assess teacher knowledge in designing inclusive learning, using three frameworks, namely Technological Pedagogical and Content Knowledge, Backward Design, and Universal Design for Learning. Research on this issue involves measuring organizational and psychological constructs, which present unique challenges because they are generally unobservable, very abstract, often complex, and may consist of several different components. As a result of this complexity, developing this scale was challenging. The production of this scale followed Boateng et al., and the field test involved 259 pre-service teachers. The Rasch Rating Scale Model analysis was used to test the scale and produced 18 items that have high reliability (0.96). This scale can be used nationally to assess teachers' ability to implement inclusive education. The scale also applies as a teacher self-assessment tool for developing their competence.

Examining generative AI–mediated informal digital learning of English practices with social cognitive theory: a mixed-methods study

Abstract This study explores the integration of generative artificial intelligence (GenAI) in informal digital learning of English (IDLE) practices, focusing on its potential to enhance language learning outcomes and addressing the technological challenges language teachers face in utilising AI-based tools to facilitate second language acquisition. Based on the research context of IDLE and holistic learning ecology and drawing on the theoretical frameworks of technological pedagogical and content knowledge and social cognitive theory, we performed a mixed-methods investigation with an empirical experiment to assess the effectiveness of GenAI followed by semi-structured interviews. The results suggest that the GenAI-mediated IDLE practices effectively improve college students’ oral proficiency in English from both technological and humanistic perspectives. However, results also indicate that the GenAI conversational partner alone is not adequate to provoke continuous extramural GenAI-mediated IDLE practices. We discuss the theoretical and pragmatic significance of GenAI-mediated IDLE in educational equity and reformation.

Transformational Leadership, Technological Competence and Teachers' Performance

This study evaluated the extent of transformational leadership and technological competencies of school teachers in selected universities in China. The study further formulated a policy program that ensured the practice of transformational leadership in the involved institutions. It made use of a quantitative research design. More specifically, the study utilized a descriptive-comparative-correlational research design to gather data and further process, analyze, and interpret these. This research was conducted among three (3) selected universities in Hunan Province of China. The Universities are Hunan International Economic University, Hunan Normal University, and Hunan University. The study was conducted among 186 teachers selected from a population of 357. Several statistical tools such as frequency count and percentage, weighted mean, standard deviation, t-test and ANOVA, and Pearson’s Correlation was used for the data analysis. Based on the study findings, the majority of the teachers are between 31-40 years old, mostly males, with mostly 16-20 years of teaching experience, and are mostly post-graduates. In the assessment of the transformational Leadership of the superiors, the evaluation showed that the superiors possess a higher level of individualized consideration, followed by idealized influence, then intellectual stimulation, and inspiration motivation. In the assessment of the difference in transformational leadership based on age, the finding suggests that the mean assessment of all the age groups are similar, indicating a balanced distribution of the respondents based on age in individualized consideration, inspiration motivation, and idealized influence. The assessment on technological competence show that the highest dimension is the technological pedagogical knowledge, followed by technological content knowledge, and the technological knowledge. A significant relationship exists between technological leadership, technological competency, and the performance of the teacher superiors. This relationship entails that a transformational leadership practice among the superiors influences the level of technological competency and the performance of the teachers.

Identification of Technological Pedagogical Content Knowledge of Pre-Service Teacher in English Language Learning

This study aims to identify the competencies of prospective early childhood teachers in integrating Technological Knowledge (TK), Pedagogical Knowledge (PK), Content Knowledge (CK), Technological Pedagogical Knowledge (TPK), Technological Content Knowledge (TCK), Pedagogical Content Knowledge (PCK), and Technological Pedagogical Content Knowledge (TPACK). This study uses a descriptive method and data is collected through a structured questionnaire. The sample consisted of 20 students from the Early Childhood Teacher Education Study Program, class of 2021. The results of the study show that high performance in TPACK with the "Very Good" category connects strong mastery of Technological Knowledge (TK), Pedagogical Knowledge (PK), and Content Knowledge (CK) which means that the student is not only proficient in using technology but also in teaching and understanding content very effectively. The "Good" category often shows increased pedagogical and content knowledge and the ability to apply technology better. Meanwhile, students with "Average" performance generally have a basic understanding of all components but still have difficulty integrating them effectively. The “Medium” category appears in the components of Pedagogical Knowledge (PK), Content Knowledge (CK), Technological Pedagogical Knowledge (TPK), Technological Content Knowledge (TCK), and Pedagogical Content Knowledge (PCK). In this case, additional support is needed to improve the skills of prospective teacher students in combining technology, pedagogy, and content.

Science and Mathematics Teachers’ Integration of TPACK in STEM Subjects in Qatar: A Structural Equation Modeling Study

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.

Predicting quality of English language teaching through augmented reality competencies and TPACK model components among Kuwaiti undergraduates

<b>Background: </b>Augmented reality is among the emerging technologies that hold greater potential in the context of foreign language learning. No research has been done to date to investigate pre-service teachers’ competencies in augmented reality and their association with quality of teaching English and technological and pedagogical content knowledge (TPACK) model components in the state of Kuwait.<br /> <b>Aim: </b>This study aimed to assess the utility of using augmented reality competencies and English as a foreign language (EFL) TPACK model components to predict the quality of English language teaching of pre-service undergraduates.<br /> <b>Method: </b>A total of 317 students enrolled in college of education at Kuwait university were recruited and responded to three online questionnaires measuring EFL TPACK, teachers’ augmented reality competencies, and quality of teaching English skills (QELT).<br /> <b>Results: </b>Results indicated a significant positive association among all variables at 0.01 level. Teacher’s augmented reality competencies (TARC), TPACK, technological knowledge (TK), and technological content knowledge (TCK) were significant predictors of QELT. One-way ANOVA revealed that there was no significant effect of gender on the TARC, TPACK, TK, TCK, and QELT. The cut-off-criteria of the mean scores indicated that all participants strongly believe that they acquire the essential competencies of augmented reality in EFL classrooms and possess a high level of proficiency in TPACK. Descriptive statistics showed that more than (70%) of pre-service teachers selected “strongly agree” and “agree”, 13% or less selected “strongly disagree” and “disagree” while 26% or less selected “neutral” response. Linear regression analysis revealed that TARC, TPACK, TK, and TCK were significant predictors of QELT.

The relations between technological knowledge, pedagogical knowledge, and inventive skills among Malay language teachers

Through the use of technology in the classroom, teachers can improve their ability to deliver effective and relevant content. Teachers should be more prepared to apply this technology to ensure that students will have more fun and have a high interest in continuing to learn in the era of globalization which is based on the use of these information communication technology elements in the classroom during the teaching and facilitation process. Thus, this study was to identify the relationship between technological knowledge, technological content knowledge, technological pedagogical knowledge, technological pedagogical content knowledge, and inventive skills for teachers. The questionnaire was distributed to 400 teachers who teach Malay language subjects at Secondary schools in Malaysia. To test the hypothesis, the structural equation using a PLS-SEM framework was used. The results showed that technological knowledge, technological content knowledge, technological pedagogical knowledge, and technological pedagogical content knowledge have a positive relationship with inventive skills for teachers.