Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…

In this paper, we present an agenda for the research directions we recommend in addressing the issues of realizing and evaluating communication in CPS instruments. We outline our ideas on potential ways to improve: (1) generalizability in Human-Human assessment tools and ecological validity in Human-Agent ones; (2) flexible and convenient use of…

Programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated Programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are…

Using classroom response systems (clickers) to accumulate grade-points has become a controversial practice as response systems have become more widely used in the last decade. Although some instructors opt to use clickers on a non-grades basis, it has become quite common to reward students for (a) correct answers, (b) participating in clicker…

Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, until now very few systems were able to leave academic laboratories and be integrated into real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA)…

Discussion of the use of programming as a learning activity focuses on software-realized scaffolding. Emile, software that facilitates programming for modeling and simulation in physics, is described, and results of an evaluation of the use of Emile with high school students are reported. (Contains 95 references.) (LRW)

Describes computing access in public spaces (CAPS) and presents a case study of the U.S. Holocaust Memorial Museum (USHMM) Learning Center, including the design, implementation, and testing prior to its installation. Characteristics of CAPS are discussed, and guidelines for the USHMM Learning Center are explained. (Contains 11 references.) (LRW)