Background: Teachers must have the skills to find, select, design and use technology-based mathematical activities that focus on high-level cognitive demands--supporting student reasoning. However, they experience various difficulties in creating, planning and making decisions about how and when to utilize technological affordances. Objectives:…

This study explores preservice education student perceptions on ChatGPT's ability to write lesson plans through the use of a guided analysis process with 59 undergraduate and graduate students enrolled in STEM, TESOL, and Social studies methods courses for grades PreK-12. A pre- post-survey and a reflection on the strengths and weaknesses of…

This study is on data-gathering software for special teachers in local education agencies Grades K-14. Increasing pressure for the use of accountability to follow the effectiveness of meeting educational standards has caused schools to reassess methods of using data and the core technologies surrounding its collection. The amount of data…

Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…

The aim of this study is to examine the integration of AI-powered tools into the lessons in the context of the diffusion of innovation theory. One of the main features of AI-powered tools is that they provide personalized results or feedback. For this reason, it is important for students to experience these tools in person, that is, to interact…

ChatGPT holds significant potential for enhancing learning through integration into education as an advanced chatbot. With the goal of harnessing this potential, our research focused on exploring the utilization of ChatGPT in designing a course plan for pre-service science teachers. We adopted a qualitative research approach and employed ChatGPT…

In this study, a technology-supported teaching module was designed to support the advancement of critical thinking as determined by Facione (1990). The lesson plans of the designed teaching module were applied to future mathematics teachers in primary schools. In the study, worksheets constitute teaching model applications lesson plans and it is…

Technological Pedagogical Content Knowledge (TPACK) is defined as the teacher knowledge needed for effective technology integration. This study aimed to investigate preservice elementary mathematics teachers' TPACK development. TPACK survey was administered to 33 preservice teachers (PSTs), and six of them were selected via maximum variation…

Background/purpose: The marginalization of art education globally has prompted concerns about the instructional competence of art teachers. This study probed the potential of microteaching lesson study as a remedy, with a novel integration of generative artificial intelligence. Materials/methods: This was a pre-test/post-test controlled study with…

Since it was released on November 30, 2022, ChatGPT has offered numerous opportunities for higher education professors to improve their course offerings. However, not all information provided by the application is accurate. The application has been known to yield highly inaccurate information with high confidence. Yet, with that knowledge, ChatGPT…

This study examined the effects of reflective practices (RP) on self-directed learning competencies (SDLC) as well as the relationship between technology-mediated collaborative learning (TMCL) as a reflective practice and SDLC in a preservice teachers' class. Regression analyses were conducted to examine the effects of RP on SDLC. In addition, a…

The present study investigates the use of generative artificial intelligence (AI) tools by pre-service teachers (PSTs) in lesson planning for a middle-school English as a foreign language (EFL) class, aiming to address gaps and inform teacher training. The case study examined PSTs in a South Korean university course who were tasked with creating…

This article examines the professional knowledge required for mathematics teachers to effectively use generative artificial intelligence (GenAI) in planning high-quality, ambitious mathematics lessons. While GenAI tools like ChatGPT offer promise for automating parts of lesson planning, their utility in supporting ambitious instruction is limited…

Practicum is an essential and meaningful form of teacher training but due to the great diversity of educational programs worldwide, their nature and quality depend too much on each particular situation. For this reason, an Interactive Digital Notepad (IDN) prototype, based on Kanban and powered up by Trello, is presented as a solution to the…

Data-driven learning (DDL) is an increasingly popular area of research for language teaching and is gradually being incorporated into teacher education programs globally. However, assessing teacher trainees' (self-reported) corpus literacy, and its impact on eventually (and successfully) incorporating corpora into language teaching, is an ongoing…