With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…

Learning progressions (LPs) have seen a growing interest in recent years due to their potential benefits in the development of formative assessments for classroom use. Using an LP as the backbone of an assessment can yield diagnostic classifications of students that can guide instruction and remediation. In operationalizing an LP, assessment items…

Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…

The advancement in science and technology in the 21st Century necessitates improving critical thinking skills in students. Implementing digital technology such as interactive multimedia in the learning process can encourage quality learning and teaching. This study aims to create Android-based interactive multimedia that will help students improve…

Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…

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…

Poor comprehenders (PCs) are characterized by poor reading comprehension despite intact decoding and general cognitive ability. Poor word meaning knowledge is one of the earliest deficits associated with a PC profile. We examined processes underpinning word learning in PCs using a category learning paradigm. Adolescent participants (20 typically…

In the increasing pervasiveness of today's digital society, mobile devices are changing the face of education. Students can interact with mobile devices in context-aware environment. This paper presents a mobile application based on expert system (Plant-E) for students to acquire knowledge about plant classification by answering decision-making…

Purpose: Given that prior research has confirmed that students' mathematics values significantly affect their mathematics learning, understanding how students' values form and change, especially during different learning stages, is an important topic. Design/Approach/Methods: This study administered a questionnaire to investigate the values of…

Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…

Argument writing is challenging for elementary students. Previous experimental research has focused on scaffolding rhetorical goals, leaving content goals relatively unexplored. In a randomized experiment, 73 students in grades 5, 6, and 7 wrote persuasive texts about difficult-to-classify vertebrates. Each student received one of three sets of…

The goal of this study was to develop a classification for a range of discourse patterns that occur in text-based asynchronous discussion forums, and that can aid in the distinction of three modes of discourse: knowledge sharing, knowledge construction, and knowledge building. The dataset was taken from Knowledge Forum® databases in the Knowledge…

Preconceptions are a crucial factor in the educational learning process. Hence, the investigation of preconceptions is important for learning and teaching in the field of geography. This study examines the preconceptions of 12- and 13-year-old students, regarding the major environmental problem of "desertification." The students'…

This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…

The learning sciences community's interest in learning analytics (LA) has been growing steadily over the past several years. Three recent symposia on the theme (at the American Educational Research Association 2011 and 2012 annual conferences, and the International Conference of the Learning Sciences 2012), organized by Paulo Blikstein, led…