As part of a large exercise physiology laboratory (lab) reform project, we used blended learning to support graduate teaching assistants and lab technicians in developing their pedagogical knowledge and create an entry point to reflective conversations about teaching and learning. Because self-paced asynchronous online modules can enable…

This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones…

In this paper, we report the results of a 3-year, quasi-experimental study comparing students' engagement and deep learning of course materials between students who took an undergraduate engineering course that used a video game approach to a control group. The video game, EduTorcs, provided challenges in which students devised control algorithms…

The author believes that in mathematics education, with ourselves AND with students or learners, people need to embrace failure as a beautiful thing -- an incredibly wonderful opportunity to learn more about the math or the tool or the people. The five characteristics of provocative objects can help to understand how to design such lovely failure,…

In this study, we used a learning analytics dashboard (LAD) in a higher education course to support students' metacognition and evaluated the effects of its use. The LAD displays students' reading path and specific behaviors when viewing digital learning materials. The study was conducted on 53 university students to identify the factors that…

Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…

Learning curves are an important tool in cognitive diagnostics modeling to help assess how well students acquire new skills, and to refine and improve knowledge component models. Learning curves are typically obtained from a model estimated on real data obtained from a finite, and usually limited, sample of students. As a consequence, there is…

Recognizing the limitations of how "learning loss" is conceptualized and measured, this study is attempted to draw lessons by exploring the bright side of school closure and distance learning during COVID-19. The main research question is "What, in reality, valuable experiences are students gained during school closure and distance…

This study presents, for the first time, (a) the analysis of the modern literature on the reciprocal impact of emotional arousal and interactional synchrony that creates the synergy of this tandem increasing group productivity; (b) the empirical results of 10 online experiments with 41 dyads. These online experiments in different languages found a…

This study addresses three overarching issues using an online survey. (1) What do parents do with their children to facilitate their early mathematics and literacy learning? What are their beliefs and attitudes about academic socialization, for both mathematics and literacy, and what opportunities do these parents provide their children? (2) Does…

One significant challenge in the field of measuring ability is measuring the current ability of a learner while they are learning. Many forms of inference become computationally complex in the presence of time-dependent learner ability, and are not feasible to implement in an online context. In this paper, we demonstrate an approach which can…

The purpose of this study was to examine conception of learning and learning behavior for each goal orientation type from the multiple-goals perspective and to clarify the characteristics of each type. Questionnaire surveys were conducted with fourth-year undergraduate students, and responses for 340 students were analyzed. We created four types,…

The wide spread of digital technologies in higher education raises the need to examine the added value of digital technologies to enhancing high-quality teaching and promoting active learning. This study explored the characteristics of pedagogical design in a technology-enhanced academic course. We analyzed how the course enabled expressing…

In this paper, we describe the analysis of multimodal data collected on small collaborative learning groups. In a previous study, we asked pairs (N=84) with no programming experience to program a robot to solve a series of mazes. The quality of the dyad's collaboration was evaluated, and two interventions were implemented to support collaborative…

Students acquire knowledge as they interact with a variety of learning materials, such as video lectures, problems, and discussions. Modeling student knowledge at each point during their learning period and understanding the contribution of each learning material to student knowledge are essential for detecting students' knowledge gaps and…