Policymakers worldwide are grappling with devising robust policies aimed at enhancing adult learning, due to its growing significance in bolstering competitiveness within knowledge-based economies. However, there is scant research on adult learning strategies for improving intrapersonal or social practice approaches, particularly in work settings,…

Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences -- switching between categories -- help learners to detect such differences. Nonetheless, learners prefer to block -- switching within a category -- to detect commonalities. Across two 2 × 2-factorial experiments, we…

Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…

Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…

The present study investigated multilevel models posited to predict student approaches to homework. Participants were 1,072 middle school students in China. Results revealed that deep and surface approaches were positively associated with performance-approach. Furthermore, deep approach to homework was associated negatively with homework cost, yet…

Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…

Language mindsets influence learners' behavior, motivation, and strategic approaches to studying a language. These mindsets impact how learners perceive control and value in achievement activities, which, in turn, affect their achievement emotions and ultimately their learning strategies and academic performance. This study investigates the…

This study aims to develop a predictive model for predicting gifted students' engagement levels and to investigate the features that are important in such predictions. Features reflecting students' emotions, social-emotional learning skills, learning approaches and video-watching behaviours were used in the prediction models. The study group…

Flipped learning has become the focus in many educational contexts especially with the integration of technological tools in learning space for the last decade. In flipped learning, learners perform surface learning at home, whereas deep learning such as problem-solving, critical thinking exercises etc. is covered in the classroom which…

Evidence abounds that passive strategies such as rereading or highlighting are less effective than active strategies such as drawing models or explaining concepts to others. However, many studies have also reported that students tend to use learning strategies that they perceive as comfortable and easy, even when other strategies may be more…

Instructors are steadily incorporating collaborative learning technology into their online classes to help promote effective learning strategies. A learning management system (LMS), such as Blackboard, offers their own collaborative technologies, but some instructors are turning to free and open source system (FOSS) to conduct these collaborative…

Purpose: The present research was based on an online questionnaire. A total of 256 undergraduate psychology students aged 18-44 (M = 23.61; SD = 0.57) from the Pontifical Catholic University of Argentina took part in the study (137 women; 53.3%). A sociodemographic and academic survey and the locally adapted versions of the Zimbardo Time…

This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…

This study sought to investigate the relationship between language mindsets and grammar learning strategies and grammatical performance among English as L2 and L3 learners. Moreover, this study examined fixed and growth language mindsets across gender and language groups. The sample included 320 (N[subscript L2] = 160, N[subscript L3] = 160)…

This study aims to determine whether university students' levels of online self-regulated learning, online technologies self-efficacy, and motivated strategies for learning predict their general academic achievement and online academic achievement. In this study, the scanning design and the prediction research design were used. The participants of…