As the articles in this special issue on "Psychological Perspectives on the Effects and Effectiveness of Assessment Feedback" have shown, feedback is a key factor in education. Although there exists a substantial body of research on the topic, it is imperative to continue advancing the field. My aim is to outline five steps to solidify…

This paper explores the affordances of virtual reality (VR) simulations for facilitated model-based reasoning. Thirty-four undergraduate students engaged with simulated scientific models in head-mounted displays and their facilitator in a co-located mixed-presence configuration. We coded the facilitator--participant interactions using the…

In the context of virtual learning communities (VLCs), where the participants may not know each other, it is necessary to have a mechanism to help when deciding who to work with and what reliable contents and information sources are. This study aims to design a generic trust model, named T-VLC, applicable to VLCs, which can be adapted to different…

This article seeks to contribute to the reflection around the training of future designers regarding teamwork. Collaboration, teamwork and negotiations are common everyday interactions that are now known to contribute positively to the design process. This article builds on a theoretical model that was initially proposed as a Ph.D. thesis…

Learning analytics is a fast-growing discipline. Institutions and countries alike are racing to harness the power of using data to support students, teachers and stakeholders. Research in the field has proven that predicting and supporting underachieving students is worthwhile. Nonetheless, challenges remain unresolved, for example, lack of…

A symmetry activity using student-built models was developed in line with faculty-developed pedagogical goals and a collaborative learning framework. The activity took place in a 3-h laboratory portion of an upper-division inorganic chemistry course. It required students to identify symmetry elements for seven molecules using common 2D…

Teachers' digital competence (TDC) should be possessed by teachers in the 21st century learning process because learning resources in this era are not only from one source but many sources along with technological developments. This study aimed to provide an overview of the dimensions of TDC, the level of TDC, obstacles, and solutions to improve…

Listening is a major challenge for many English-as-a-foreign language (EFL) learners. Decoding training, which helps learners develop the ability to recognize words from speech, is frequently used to assist EFL learners. Although recent empirical studies on decoding training have provided positive evidence on its effectiveness in improving EFL…

Detection methods for item preknowledge are often evaluated in simulation studies where models are used to generate the data. To ensure the reliability of such methods, it is crucial that these models are able to accurately represent situations that are encountered in practice. The purpose of this article is to provide a critical analysis of…

The radical exemplar model resonates with work on perceptual classification and categorization highlighting the role of exemplars in memory representations. Further development of the model requires acknowledgment of both the fleeting and fragile nature of perceptual representations and the gist-based, good-enough quality of long-term memory…

Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task…

In the era of 21st century learning, many secondary students with learning disabilities continue to struggle with mathematics problem solving. Emerging evidence suggests self-regulated strategy development can be combined with existing evidence-based and promising practices during mathematics instruction. These practices include explicit…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

This commentary discusses the recent keynote article by Westergaard (2021), which is an interesting contribution to the field of language acquisition and multilingualism, especially because it attempts to provide a wider perspective by embracing first, second and third language acquisition. I address major claims put forward by Westergaard, to…

The majority of user models in gamification are based on user's gamer personality. However, the motivations driving individuals' learning behavior differ from their motivations when playing. There is no evidence that learners' experiences in gamified activities are described by these models. Thus, an alternative model capturing learners'…