Due to the development of deep learning technology, its application in education has received increasing attention from researchers. Intelligent agents based on deep learning technology can perform higher order intellectual tasks than ever. However, the high deployment cost of deep learning models has hindered their widespread application in…

In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…

My dissertation elucidates how art practice can be a useful and helpful model for learning, teaching, and conducting research for HCI and the broader STEM fields. It focuses on "improvisation", a fundamental strategy and skill often used in the broader genres of arts, including cool jazz and the avant-garde. To achieve this goal, this…

We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…

Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…

Examines the functional characteristics of intelligent computer assisted instruction (ICAI) and discusses the requirements of a multidisciplinary cooperative effort of its development. A typical ICAI model is presented and intelligent features of ICAI systems are described, including modeling the student's learning process, qualitative decision…

A proposed student model consisting of a set of programs to represent the student's knowledge state. Teaching proceeds after a comparative evaluation of student and teacher programs, and learning is represented by direct modification of the student model. The advantages of an explicit procedural model are illustrated by considering a program which…

Discusses intelligent computer assisted instruction (ICAI) and presents various models of learning which have been proposed. Topics discussed include artificial intelligence; intelligent tutorial systems; tutorial strategies; learner control; system design; learning theory; and knowledge representation of proper and improper (i.e., incorrect)…

This paper explores languages for communicating precise ideas within limited domains, which include mathematical notation and general purpose and high level computer programming languages. Low-level properties of such natural artificial languages are discussed, with emphasis on those in which names are chosen for concepts and symbols are chosen…

This three-part volume provides a summary, for use by practitioners, of a project concerned with how novices learn to become creative educational computer users. The first chapter examines techniques for increasing the novice's understanding of computers and computer programming, and specifically analyzes the potential usefulness of five…

A minimal class of cybernetic models needed in making the transition from a description of control systems to a description of social systems is discussed. Several applications are considered in connection with studies of learning and creativity in individuals and small groups. Possible extrapolations of these to social systems are suggested.…

This paper considers the technological aspects of learning environment analysis in the instructional development process. Characteristics of a technology-based learning environment are discussed, and old and new models of technology and learning are examined. The connection between technology and cognition is addressed, and the importance of…

This paper presents a critical review of computer assisted instruction (CAI); an overview of recent intelligent tutoring systems (ITSs), including current perceived shortcomings; major activities of the field, i.e., analysis of teaching/learning processes, and extending and developing artificial intelligence techniques for use in intelligent…

This paper focuses on the applications which best suit the microcomputer in an educational setting with emphasis on adapting effective pedagogical practice to the computer's programability and delivery capabilities. Discovery learning and "being told" are identified as two types of computer assisted instruction (CAI) and sample uses of…

This report describes design techniques, areas of effective application, and research directions in educational simulations. The five chapters contain (1) a review of recent literature; (2) an overview of the field of simulation including definitions and some of the rationales for using simulation in instruction; (3) an outline of the design…