This systematic review of reviews is an exploratory study that aims to synthesize the myriad of reviews about Problem-Based Learning (PBL) to provide a consensus regarding the definition, components, effectiveness, and most common areas of application of PBL. This will provide educators and policymakers with a robust framework to enhance…

This study examines how Text-to-Speech (TTS) usage patterns relate to problem-solving accuracy in the 2017 NAEP Grade 8 Mathematics assessment, analyzing data from 2,060 students who used TTS on a math item. We investigated TTS usage across three dimensions: time spent listening to different text components, frequency of activations, and sequence…

AI has transformed education by reshaping teaching and learning processes. ChatGPT plays a significant role in enhancing these processes; however, effective educator training is essential for its optimal use. Educators and researchers are increasingly adopting AI chatbots, expecting them to improve learning experiences and reduce teacher workload.…

Despite the increasing use of digital tools in education, limited research has explored their combined impact on both cognitive and affective learning outcomes in mathematics. This study aims to address this gap by investigating the effect of integrating GeoGebra technology through Augmented Reality (AR) and microgames on students' motivation,…

The rapid development of large language models (LLMs) has sparked growing interest in their potential to transform education. This study explores how LLMs influence collaborative learning, focusing on student creativity, critical thinking, problem-solving, and collective intelligence. Specifically, it investigates whether artificial intelligence…

Leadership education as a field of study has largely been considered multi- or interdisciplinary, yet many leadership educators find their programs siloed within the constructs of higher education institutions inadequate in addressing complex issues of today's world. The authors challenge organizations to embrace a truly transdisciplinary approach…

Constructing multiplicative reasoning is critical for students' learning of mathematics, particularly throughout the middle grades and beyond. Tzur, Xin, Si, Kenney, and Guebert [American Educational Research Association, ERIC No. ED510991, (2010)] conclude that an assimilatory composite unit is a conceptual spring to multiplicative reasoning.…

In order to investigate the nature of complex problem solving (CPS) within the nomological network of cognitive abilities, few studies have simultantiously considered working memory and intelligence, and results are inconsistent. The Brunswik symmetry principle was recently discussed as a possible explanation for the inconsistent findings because…

Most theories of intelligence do not directly address the question of whether people with high intelligence can successfully solve real world problems. A high IQ is correlated with many important outcomes (e.g., academic prominence, reduced crime), but it does not protect against cognitive biases, partisan thinking, reactance, or confirmation…

Procedural problem solving is an important skill in most technical domains, like programming, but many students reach problem solving impasses and flounder. In most formal learning environments, instructors help students to overcome problem solving impasses by scaffolding initial problem solving. Relying on this type of personalized interaction,…

In research on mathematical problem posing, a broad spectrum of different situations is used to induce the activity of posing problems. This review aims at characterizing these so-called problem-posing situations by conducting three consecutive analyses: (1) By analyzing the openness of potential problem-posing situations, the concept of…

This paper describes LOGAX, an interactive tutoring tool that gives hints and feedback to a student who stepwise constructs a Hilbert-style axiomatic proof in propositional logic. LOGAX generates proofs to calculate hints and feedback. We compare these generated proofs with expert proofs and student solutions, and conclude that the quality of the…

This paper presents a qualitative study developed with a group of 16-year-old students who were asked to estimate large numbers of elements on a bounded surface. Taking the realistic mathematics education framework as a reference, we presented the students with an activity sequence comprised of four different tasks--each one with a different…

The contribution aims at subject-specific analyses of student solutions of an exercise from an electrical engineering signal theory course. The basis for the analyses is provided by praxeological studies (in the sense of the Anthropological Theory of Didactics) and the identification of two institutional mathematical discourses, one related to…

Visual programming environments are popular instruments in teaching Computational Thinking (CT) in schools today. Applying Sense-Reason-Act (SRA) programming can influence the development of computational thinking when forcing pupils to anticipate the unforeseen in their computer programs. SRA-programming originates from the programming of…