In this article Antti Moilanen assesses criticisms of Wolfgang Klafki's model of exemplary teaching made by Meinert Meyer and Hilbert Meyer and by Chi-Hua Chu. "Exemplary teaching" is a style of discovery-based teaching in which students study concrete examples of general principles in such a way that they acquire transferable knowledge…

The present quasi-experimental study investigated which component of processing instruction (PI) is responsible for its beneficial effects and whether EFL learners with different learning styles similarly benefit from PI components. In doing so, a sample of 67 first-year students took part in a study with a non-equivalent control group…

The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic…

Although the empowerment of critical thinking (CT) has become an international concern that needs to be developed in the biology learning process for high school students, there still needs to be more relevant research literature. This study aimed to compare the effectiveness of implementing reading, questioning, and answering strategies…

In recent years, student-generated stop-motion animations (SMAs) have been employed to support sharing, constructing, and representing knowledge in different science domains and across age groups from pre-school to university students. The purpose of this review is to give an overview of research in this field and to synthesize the findings. For…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

Introduction: Among its contemporaries, the updated Bloom's taxonomy is perhaps the most widely used cognitive process model. It is a categorization paradigm that emphasizes the cognitive levels beginning with remembering the information and progressing to more complicated levels such as producing the knowledge. Education psychologists want to…

Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…

Do adults learn the same syntactic second language (L2) form explicitly and implicitly simultaneously during meaning-based exposure, and does the type of learning (explicit and/or implicit) affect subsequent performance. In this study, 81 anglophones completed comprehension tasks providing incidental exposure to a semi-artificial language (English…

Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…

Competitive game-based learning has been widely discussed in terms of its positive and negative impacts on learners' learning effectiveness and learning behavior. Although different types of games require different kinds of knowledge to accomplish the task via competition, few studies have considered that knowledge types, such as procedural…

Decisions about instructional methods are becoming more complex, with options ranging from problem sets to experiential service-learning projects. However, instructors not trained in instructional design may make these important decisions based on convenience, comfort, or trends. Instead, this article draws on the knowledge management literature…

Gagné's instructional events are more focused on the human internal learning process than on the learning context. This study fills this gap because it presents certain instructional events that are focused on the construction of a positive learning context through the teacher-student relationship. Therefore, it's proposing an adaption of Gagné's…

In this paper, I narrate highlights of my long process of learning and teaching English as a foreign language in mainland China and Australia, presenting a picture of the practices of learning and teaching English in mainland China from the bottom up. Over the past 50 years, English learners in mainland China, as Gao Yihong has written, have…

Ensemble approaches have been shown to enhance classification by combining the outputs from a set of voting classifiers. Diversity in error patterns among base classifiers promotes ensemble performance. Multi-task learning is an important characteristic for Neural Network classifiers. Introducing a secondary output unit that receives different…