Measuring the technological pedagogical content knowledge (TPACK) of in-service teachers of computer science who teach algorithms and programming in upper secondary education
Authors: Spyridon Doukakis, Alexandra Psaltidou, Athena Stavraki, Nikos Adamopoulos, Panagiotis Tsiotakis, Stathis Stergou
Abstract
Based on the Technological Pedagogical and Content Knowledge (TPACK) framework (Mishra & Koehler, 2006) and the Schmidt et al. (2009) instrument which explore TPACK, this study examines a national sample of 1032 secondary teachers of computer science and measures their knowledge with respect to technology, pedagogy, content knowledge and the combination of each of these areas. Findings indicate that content knowledge and technology knowledge rating are high (average 4.38 and 4.16 respectively) and it seems that secondary teachers are less confident with their pedagogical content knowledge and their technological content knowledge (average 3.51 and 3.68 respectively).
The papers around it, by date and closeness
Higher is closer to this paper; left is older. Lines join papers close to each other: groups of lines are sub-topics. Select a point to see why it is there. Back to the summary of this paper
Papers around this one
Ranked by how close their title and abstract are to this paper’s. Select some to read them together.
Closest papers
-
Effective integration of ICT to facilitate the secondary education in Sri LankaW. W. N. C. K. Palagolla, A. P. R. Wickramarachchi · 2019 · Computers and Society · Not summarized yet
Abstract
Information and Communication Technology (ICT) has been the phenomenon of the 21st century and its growing advances continue to play a vital role as an ideal tool to acquire, store, disseminate and apply knowledge than ever before. Thus, the integration of ICT in diverse business processes has increased the importance as an imperative source of economic growth in the rapidly changing knowledge economy. The paper mainly explores potential barriers towards the effective integration of ICT and its impact on the performance of the secondary education. A structured survey questionnaire gathered empirical data from a random sample of teachers from selected schools in the North Central Province (NC…
-
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson PlanningGyeong-Geon Lee, Xiaoming Zhai · 2024 · Computers and Society · AI summary available
Abstract
Despite the buzz around ChatGPT's potential, empirical studies exploring its actual utility in the classroom for learning remain scarce. This study aims to fill this gap by analyzing the lesson plans developed by 29 pre-service elementary teachers from a Korean university and assessing how they integrated ChatGPT into science learning activities. We first examined how the subject domains and teaching and learning methods/strategies were integrated with ChatGPT in the lesson plans. We then evaluated the lesson plans using a modified TPACK-based rubric. We further examined pre-service teachers' perceptions and concerns about integrating ChatGPT into science learning. Results show diverse appli…
-
Development of Computational Thinking in High School Students: A Case Study in ChileFelipe González, Claudia López, Carlos Castro · 2019 · Computers and Society · AI summary available
Abstract
Most efforts to incorporate computational thinking in K-12 education have been focused on students in their first cycles of school education and have used visual tools, such as Scratch and Alice. Fewer research projects have studied the development of computational thinking in students in their last years of school, who usually have not had early formal preparation to acquire these skills. This study provides evidence of the effectiveness of teaching programming in C++ (a low-level language) to develop computational thinking in high school students in Chile. By applying a test before and after a voluntary C ++ programming workshop, the results show a significant improvement in computational …
-
Why The Trans Programmer?Skye Kychenthal · 2022 · Computers and Society · AI summary available
Abstract
Through online anecdotal evidence and online communities, there is an in-group idea of trans people (specifically trans-feminine individuals) disproportionately entering computer science education & fields. Existing data suggests this is a plausible trend, yet no research has been done into exactly why. As computer science education (traditional schooling or self-taught methods) is integral to working in computer science fields, a simple research survey was conducted to gather data on 138 trans people's experiences with computer science & computer science education. This article's purpose is to shed insight on the motivations for trans individuals choosing computer science paths, while actin…
-
Exploring the Use of ChatGPT as a Tool for Learning and Assessment in Undergraduate Computer Science Curriculum: Opportunities and ChallengesBasit Qureshi · 2023 · Computers and Society · AI summary available
Abstract
The application of Artificial intelligence for teaching and learning in the academic sphere is a trending subject of interest in the computing education. ChatGPT, as an AI-based tool, provides various advantages, such as heightened student involvement, cooperation, accessibility and availability. This paper addresses the prospects and obstacles associated with utilizing ChatGPT as a tool for learning and assessment in undergraduate Computer Science curriculum in particular to teaching and learning fundamental programming courses. Students having completed the course work for a Data Structures and Algorithms (a sophomore level course) participated in this study. Two groups of students were gi…
-
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming EducationJacob Doughty, Zipiao Wan, Anishka Bompelli et al. · 2023 · Computers and Society · AI summary available
Abstract
There is a constant need for educators to develop and maintain effective up-to-date assessments. While there is a growing body of research in computing education on utilizing large language models (LLMs) in generation and engagement with coding exercises, the use of LLMs for generating programming MCQs has not been extensively explored. We analyzed the capability of GPT-4 to produce multiple-choice questions (MCQs) aligned with specific learning objectives (LOs) from Python programming classes in higher education. Specifically, we developed an LLM-powered (GPT-4) system for generation of MCQs from high-level course context and module-level LOs. We evaluated 651 LLM-generated and 449 human-cr…
-
Knowledge Graph Enhanced Intelligent Tutoring System Based on Exercise Representativeness and InformativenessLinqing Li, Zhifeng Wang · 2023 · Computers and Society · Not summarized yet
Abstract
Presently, knowledge graph-based recommendation algorithms have garnered considerable attention among researchers. However, these algorithms solely consider knowledge graphs with single relationships and do not effectively model exercise-rich features, such as exercise representativeness and informativeness. Consequently, this paper proposes a framework, namely the Knowledge-Graph-Exercise Representativeness and Informativeness Framework, to address these two issues. The framework consists of four intricate components and a novel cognitive diagnosis model called the Neural Attentive cognitive diagnosis model. These components encompass the informativeness component, exercise representation c…
-
A Study of Teacher Educators Skill and ICT Integration in Online Teaching during the Pandemic Situation in IndiaSubaveerapandiyan A, R Nandhakumar · 2022 · Computers and Society · AI summary available
Abstract
Information and communication technology prompted the sharing of information over the world. For its impact on education the government and the authorities like the University Grants Commission in India have energized the higher education institutions in India to implement online education during the pandemic situation. This paper attempts to know the teaching faculties ICT skills and related online class skills in higher educational institutions in India. In India like developing countries quick as the lightning change in traditional to fully online classes are like a rumble of thunder because faculties are adopting this situation but students are challenging to adopt.
Go further
How are these papers found?
We compare the title and abstract of this paper with those of every paper summarized on this site, and with the papers Semantic Scholar recommends, those it cites and those citing it (for a much-cited paper, its most recent citations and, from OpenAlex, the most cited ones). Among the prior work and the follow-ups, the papers that use each other in depth, a method it uses and the much-cited follow-ups come a little higher. The levels (very close, close, related) come from the similarity of the texts, not from a judgment of quality; * marks a paper without an abstract, compared by its title. The sentence under a paper is written by an AI from the two abstracts: check it in the papers. A paper marked not relevant by three readers leaves the list.
For now only among the papers summarized on this site: search again to add the prior work, the follow-ups and Semantic Scholar’s recommendations.