In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and developing tools for its instruction and assessment, we focus on the characteristics of computational thinking problems (CTPs) -- activities requiring CT to be…

This qualitative review aims to describe the current status of problem-based learning (PBL) implementation in mathematics and identify research gaps in the area of investigation. Literature was searched using the ERIC and Google Scholar search engines. The inclusion/exclusion criteria included: articles published in reputable journals in English…

In this study, we aimed to investigate the impact of cooperative learning on the computational thinking skills and academic performances of middle school students in the computational problem-solving approach. We used the pretest-posttest control group design of the quasiexperimental method. In the research, computational problem-solving…

Future students are confronted with a complex world that demands the ability to solve problems in unstructured, undefined, and unfamiliar situations. The aim of the present study was to investigate the development of problem-solving skills through the implementation of Problem-Based Learning (PBL). While previous research has primarily focused on…

This study aimed to comparatively analyse the effects of problem-based learning model (PBLM) on cognitive outputs (CO). The study reviewed quasi-experimental studies on PBLM and CO, focusing on the cognitive outputs of thinking skills, problem-solving skill, and academic achievement. The quantitative data of these studies, comprising 56 articles…

The ability to think critically is an important and valuable skill that students should develop to successfully solve problems. The process of writing requires critical thinking (CT), and the subsequent piece of text can be viewed as a product of CT. One of the strategies educators may use to develop CT is modelling. Given ChatGPT's ability to…

Problem-based learning (PBL) has been widely applied as an alternative to improve learning outcomes, but it is still little studied in the context of the probability theory course. This study described how implementing the PBL model improves students' problem-solving and critical thinking skills in probability theory course and evaluates its…

There is a heightened concern over undergraduate students being over-reliant on Generative AI and using it recklessly. Reliance behaviours describe the frequencies and ways that people use AI tools for tasks such as problem-solving, influenced by individual factors such as trust and AI literacy. One way to conceptualise reliance is that reliance…

The use of interactive learning methods is considered crucial in equipping university students with critical skills. This could successfully deal with, and address issues encountered in real-world contexts. It has been noted that most first-year university students often face challenges adjusting to university life due to their background. The…

Background/purpose: Computational Thinking (CT) has gained widespread attention in education as a core cognitive skill essential for solving complex problems in both academic and real-world contexts. While Indonesian educators have actively adopted CT as part of national educational reforms, questions remain about how closely current practices…

The problem-based learning model via cloud technology (PBL model via cloud technology) is a research tool fabricated with the concepts of problem-based learning management, in which students are stimulated and enabled to foresee the problems that will arise. Also, in this learning style, teachers will define the problem situations and encourage…

Purpose: Problem-based learning (PBL) promotes student-centered, active learning and has been applied in many health disciplines, including speech-language pathology (SLP). There is some SLP literature outlining how PBL has been applied and its components, however, how PBL is applied across SLP programs worldwide is yet to be explored. We…

Making predictions and observations, interpreting data, and drawing conclusions are all examples of scientific problem-solving procedures. The purpose of this research was 1) to develop scientific problem-solving skills by applying problem-based learning as a basis for students in grade 9 to pass the 70 percent requirement and 2) to study the…

Problem-posing has been regarded as a potential method to engage students in deeper thinking; however, without sufficient supports, most students could encounter difficulties in posing quality problems. In this study, a concept mapping-based online cooperative problem-posing (CM-OCPP) approach is proposed to guide students to complete…

Grounded in problem-based learning and with respect to four mathematics domains (arithmetic, random events and counting, number theory, and geometry), we designed a series of programming-based learning tasks for middle school students to co-develop computational thinking (CT) and corresponding mathematical thinking. Various CT concepts and…