With the increasingly prominent characteristics of data-intensive and AI-driven scientific paradigms, computing power has become a crucial pillar of research activities. This study aims to examine the knowledge innovation effects of university supercomputing development by theoretically proposing two mechanisms: the efficiency effect (including…

Computational thinking (CT) is widely recognized as a fundamental skill in the information age. However, within the context of Chinese early childhood education (ECE), CT remains underrepresented, with a notable gap in the availability of developmentally appropriate and rigorously validated assessment tools designed specifically for…

Computational Thinking (CT) has evolved as an essential competency for K-12 students, and programming practices are recognized as the key way to facilitate CT development. However, most studies of CT development in middle graders have focused on visual programming, lacking evidence to demonstrate the effectiveness of Python programming. Therefore,…

Although computational thinking (CT) has emerged as an essential competence across all educational levels, limited research has focused on teachers' readiness for CT education, particularly within the context of early childhood education (ECE). This study involved 1,387 Chinese ECE teachers to identify their CT readiness profiles based on…

Computational thinking skills as core skills for emerging citizens are receiving great attention from scholars and educators. Various measures have been taken to improve students' computational thinking skills. Among these measures, the smart classroom, as a technology-enhanced learning environment, plays an important role in cultivating students'…

Focusing efficiently on potential weaknesses in the validity argument of writing assessments--such as writing subjectivity, content coverage, criteria vagueness, and raters' incompetence--has been shown to positively enhance teachers' overall writing assessment competence (AC). In this study, we propose a computational bootstrapping model of…

Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…

Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…

Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…