Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…

This study investigated whether transitory and persistent poverty spells were associated with children's learning (literacy and numeracy scores) and executive function outcomes in Ghana. Children resided in the Greater Accra region (N = 2,154; 49% female; M[subscript age] = 5.2 years at wave-1) and were followed at four-time points over three…

This study investigated whether transitory and persistent poverty spells were associated with children's learning (literacy and numeracy scores) and executive function outcomes in Ghana. Children resided in the Greater Accra region (N = 2,154; 49% female; M[subscript age] = 5.2 years at wave-1) and were followed at four-time points over three…

Organic chemistry presents a significant obstacle for students seeking entry into health-related professions. Students' ability to develop effective study approaches is an important predictor of success in the course. Herein, we report an investigation utilizing an OCH-adjusted M-ASSIST instrument to assess possible changes in students' study…

This study investigates (1) the impact of structuring versus reflection-provoking support on university students' adoption of socially shared metacognitive regulation (SSMR) during face-to-face peer tutoring (PT) and (2) the relation between SSMR and group performance. A quasi-experimental design was adopted, involving 72 educational sciences…

Lecture capture (LC) has been implemented globally to enhance accessible resources supporting academic success. Little is known about the effects of teaching students how to effectively use LC to augment learning. This correlational pilot study used a 14-item Likert-like survey to examine relationships between undergraduate LC viewing practices…

This study describes the rationale, design, development, and technical properties of SELweb MS, a direct assessment of social and emotional competencies in middle school students. Assessment and item design were iteratively developed with input from youth and experts to measure five domains: Self-Awareness, Self-Management, Social Awareness,…

This study explores the relationships between learner autonomy (LA), self-directed learning (SDL), goal commitment (GC) and academic achievement in English and also examines the scores which Turkish EFL learners obtained on selected measures according to demographic variables. The participants were 248 English-major Turkish undergraduate students.…

It is widely proven by several studies that efficacy is an important factor in the teaching learning process. Therefore, the goal of this study was to examine whether teachers' self efficacy contributes to the development of students' self-efficacy in Biology. This study was a descriptive research with survey type which used proportionate and…

This mixed-methods study examines how 15 preservice teachers' self-regulated learning (SRL) skills relate to their ICC development in a teacher education course. ICC was assessed using a standardised exam and an open-ended cultural dilemma. Participants' SRL was assessed along 7 dimensions: planning, goal orientation, task strategies,…

This research assessed the impact of study abroad and classroom-based cultural experiences on traditional college students' cultural intelligence (CQ) levels, as measured through the standardized Cultural Intelligence Survey. Data from students participating in cultural experiences were collected using the Cultural Intelligence Scale (CQS). The…

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)…

The purpose of this study was to explore how student behaviors, while using an adaptive courseware system, influenced performance in a gateway biology course. This study used a mixed methods approach. Quantitative data was collected from the course's learning management system (LMS) and the adaptive courseware. This data was analyzed using…

This study was to assess the spoken vocabulary knowledge and its role in incidental vocabulary learning from captioned television. The participants were a total of 87 minority students learning English as a foreign language in Australia. The breadth of their vocabulary knowledge was measured with a vocabulary size test, while the depth of their…

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…