Background: Although it is well established that students' adaptive reactions towards errors promote learning outcomes, little is still known about the role of error feedback in promoting these reactions. Aim: Through a targeted intervention based on an online teaching unit, this study aimed at testing whether supportive error feedback promotes…

The present study investigated the impact of a utility-value intervention on students' behavioral, cognitive, and emotional engagement. Students assigned to the intervention condition were required to write an essay to connect the course contents with their personal hobbies, interests, or goals three times during the course. The results showed…

This study assessed the effectiveness of a spatialized mathematics intervention on the mathematical performance and spatial visualization skills of students from an underprivileged Indonesian community. Grade 8 students (N = 407) were assigned to one of twelve experimental classes, receiving the spatial mathematics intervention, or one of seven…

Purpose: The purpose of this study is to propose and examine an integrated learning model for improving training effectiveness in workplace learning. Specifically, this study investigated the effect of achievement goal-setting intervention across three groups of new employees from a multinational medical company. During a three-day remote training…

Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

Achieving knowledge integration for deep learning requires students to develop well-connected knowledge structures through the central idea of a concept. However, a number of studies on student learning in momentum have revealed persistent difficulties in understanding its fundamental concept, particularly in relating net force, time, and change…

Numerous effective digital learning environments have evolved over the last few years built around video examples that follow an introduction phase and are often supplemented by prompts. The learning mechanisms behind these components remain subject to open questions, though. We thus conducted an online experiment with university students (N =…

As a response to declining student results on certain academic measures, a great deal of government policy intervention in Australia and internationally has been directed towards correcting a perceived deficit in teachers. Such interventions deliberately ignore the possibility that other factors might also be impacting student learning. The study…

We report on a scaled-up mathematics intervention in preschool classes (children age six) in Sweden. In the intervention, teachers at seven schools in four municipalities implemented the Thinking, Reasoning and Counting in Preschool Class (TRC) teacher guide in their teaching of 254 students. Results are compared to a previous randomized…

Despite the growing interest in mindfulness in higher education, the literature on its relation to decision-making under risk (i.e. academic misconduct) and statistics anxiety is scarce. The present research shall fill this gap. Based on the prospect theory, we assessed the mediating effect of mindfulness on the relationship between statistics…

In a world in need of profound change, the importance of "transformative education" is increasingly recognized. However, barriers abound in our Higher Education Institutions, including that educators often have little notion of "how" to make their teaching more transformative "in practice." This paper builds on our…

The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…

Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…

Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…

Achieving deeper and permanent learning has always been the focus of teaching force. This purpose is independent of the teaching level or subject matter. Pre-service teachers' lack of interest and inability to connect learning levels are partly cited for their inability to develop this deeper and permanent learning of science concepts. In this…